diff --git a/Homework2/Vue-Template/data/average_remote_ratio.json b/Homework2/Vue-Template/data/average_remote_ratio.json
new file mode 100644
index 0000000..0bfd1e2
--- /dev/null
+++ b/Homework2/Vue-Template/data/average_remote_ratio.json
@@ -0,0 +1,376 @@
+{
+  "data":[
+    {
+      "job_title": "Principal Data Scientist",
+      "job_title_average_remote_ratio": 88
+    },
+    {
+      "job_title": "ML Engineer",
+      "job_title_average_remote_ratio": 68
+    },
+    {
+      "job_title": "Data Scientist",
+      "job_title_average_remote_ratio": 48
+    },
+    {
+      "job_title": "Applied Scientist",
+      "job_title_average_remote_ratio": 45
+    },
+    {
+      "job_title": "Data Analyst",
+      "job_title_average_remote_ratio": 46
+    },
+    {
+      "job_title": "Data Modeler",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Research Engineer",
+      "job_title_average_remote_ratio": 19
+    },
+    {
+      "job_title": "Analytics Engineer",
+      "job_title_average_remote_ratio": 54
+    },
+    {
+      "job_title": "Business Intelligence Engineer",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Machine Learning Engineer",
+      "job_title_average_remote_ratio": 41
+    },
+    {
+      "job_title": "Data Strategist",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Data Engineer",
+      "job_title_average_remote_ratio": 42
+    },
+    {
+      "job_title": "Computer Vision Engineer",
+      "job_title_average_remote_ratio": 36
+    },
+    {
+      "job_title": "Data Quality Analyst",
+      "job_title_average_remote_ratio": 14
+    },
+    {
+      "job_title": "Compliance Data Analyst",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Data Architect",
+      "job_title_average_remote_ratio": 68
+    },
+    {
+      "job_title": "Applied Machine Learning Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "AI Developer",
+      "job_title_average_remote_ratio": 32
+    },
+    {
+      "job_title": "Research Scientist",
+      "job_title_average_remote_ratio": 27
+    },
+    {
+      "job_title": "Data Analytics Manager",
+      "job_title_average_remote_ratio": 36
+    },
+    {
+      "job_title": "Business Data Analyst",
+      "job_title_average_remote_ratio": 70
+    },
+    {
+      "job_title": "Applied Data Scientist",
+      "job_title_average_remote_ratio": 80
+    },
+    {
+      "job_title": "Staff Data Analyst",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "ETL Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Data DevOps Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Head of Data",
+      "job_title_average_remote_ratio": 55
+    },
+    {
+      "job_title": "Data Science Manager",
+      "job_title_average_remote_ratio": 47
+    },
+    {
+      "job_title": "Data Manager",
+      "job_title_average_remote_ratio": 16
+    },
+    {
+      "job_title": "Machine Learning Researcher",
+      "job_title_average_remote_ratio": 83
+    },
+    {
+      "job_title": "Big Data Engineer",
+      "job_title_average_remote_ratio": 59
+    },
+    {
+      "job_title": "Data Specialist",
+      "job_title_average_remote_ratio": 43
+    },
+    {
+      "job_title": "Lead Data Analyst",
+      "job_title_average_remote_ratio": 70
+    },
+    {
+      "job_title": "BI Data Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Director of Data Science",
+      "job_title_average_remote_ratio": 36
+    },
+    {
+      "job_title": "Machine Learning Scientist",
+      "job_title_average_remote_ratio": 44
+    },
+    {
+      "job_title": "MLOps Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "AI Scientist",
+      "job_title_average_remote_ratio": 72
+    },
+    {
+      "job_title": "Autonomous Vehicle Technician",
+      "job_title_average_remote_ratio": 25
+    },
+    {
+      "job_title": "Applied Machine Learning Scientist",
+      "job_title_average_remote_ratio": 79
+    },
+    {
+      "job_title": "Lead Data Scientist",
+      "job_title_average_remote_ratio": 61
+    },
+    {
+      "job_title": "Cloud Database Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Financial Data Analyst",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Data Infrastructure Engineer",
+      "job_title_average_remote_ratio": 67
+    },
+    {
+      "job_title": "Software Data Engineer",
+      "job_title_average_remote_ratio": 75
+    },
+    {
+      "job_title": "AI Programmer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Data Operations Engineer",
+      "job_title_average_remote_ratio": 80
+    },
+    {
+      "job_title": "BI Developer",
+      "job_title_average_remote_ratio": 69
+    },
+    {
+      "job_title": "Data Science Lead",
+      "job_title_average_remote_ratio": 19
+    },
+    {
+      "job_title": "Deep Learning Researcher",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "BI Analyst",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Data Science Consultant",
+      "job_title_average_remote_ratio": 27
+    },
+    {
+      "job_title": "Data Analytics Specialist",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Machine Learning Infrastructure Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "BI Data Analyst",
+      "job_title_average_remote_ratio": 73
+    },
+    {
+      "job_title": "Head of Data Science",
+      "job_title_average_remote_ratio": 28
+    },
+    {
+      "job_title": "Insight Analyst",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Deep Learning Engineer",
+      "job_title_average_remote_ratio": 67
+    },
+    {
+      "job_title": "Machine Learning Software Engineer",
+      "job_title_average_remote_ratio": 55
+    },
+    {
+      "job_title": "Big Data Architect",
+      "job_title_average_remote_ratio": 75
+    },
+    {
+      "job_title": "Product Data Analyst",
+      "job_title_average_remote_ratio": 80
+    },
+    {
+      "job_title": "Computer Vision Software Engineer",
+      "job_title_average_remote_ratio": 90
+    },
+    {
+      "job_title": "Azure Data Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Marketing Data Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Data Analytics Lead",
+      "job_title_average_remote_ratio": 75
+    },
+    {
+      "job_title": "Data Lead",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Data Science Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Machine Learning Research Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "NLP Engineer",
+      "job_title_average_remote_ratio": 43
+    },
+    {
+      "job_title": "Manager Data Management",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Machine Learning Developer",
+      "job_title_average_remote_ratio": 93
+    },
+    {
+      "job_title": "3D Computer Vision Researcher",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Principal Machine Learning Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Data Analytics Engineer",
+      "job_title_average_remote_ratio": 83
+    },
+    {
+      "job_title": "Data Analytics Consultant",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Data Management Specialist",
+      "job_title_average_remote_ratio": 0
+    },
+    {
+      "job_title": "Data Science Tech Lead",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Data Scientist Lead",
+      "job_title_average_remote_ratio": 75
+    },
+    {
+      "job_title": "Cloud Data Engineer",
+      "job_title_average_remote_ratio": 83
+    },
+    {
+      "job_title": "Data Operations Analyst",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Marketing Data Analyst",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Power BI Developer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Product Data Scientist",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Principal Data Architect",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Machine Learning Manager",
+      "job_title_average_remote_ratio": 83
+    },
+    {
+      "job_title": "Lead Machine Learning Engineer",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "ETL Developer",
+      "job_title_average_remote_ratio": 60
+    },
+    {
+      "job_title": "Cloud Data Architect",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Lead Data Engineer",
+      "job_title_average_remote_ratio": 67
+    },
+    {
+      "job_title": "Head of Machine Learning",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "Principal Data Analyst",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Principal Data Engineer",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Staff Data Scientist",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "Finance Data Analyst",
+      "job_title_average_remote_ratio": 50
+    }
+  ]
+}
\ No newline at end of file
diff --git a/Homework2/Vue-Template/data/average_salary.json b/Homework2/Vue-Template/data/average_salary.json
new file mode 100644
index 0000000..1edab3e
--- /dev/null
+++ b/Homework2/Vue-Template/data/average_salary.json
@@ -0,0 +1,376 @@
+{
+  "data": [
+    {
+      "job_title": "PDS",
+      "job_title_average_salary": 198171
+    },
+    {
+      "job_title": "MLE",
+      "job_title_average_salary": 158352
+    },
+    {
+      "job_title": "DS",
+      "job_title_average_salary": 140870
+    },
+    {
+      "job_title": "AS",
+      "job_title_average_salary": 190264
+    },
+    {
+      "job_title": "DA",
+      "job_title_average_salary": 108716
+    },
+    {
+      "job_title": "DM",
+      "job_title_average_salary": 118900
+    },
+    {
+      "job_title": "RE",
+      "job_title_average_salary": 163108
+    },
+    {
+      "job_title": "AE",
+      "job_title_average_salary": 152369
+    },
+    {
+      "job_title": "BIE",
+      "job_title_average_salary": 174150
+    },
+    {
+      "job_title": "MLE",
+      "job_title_average_salary": 154691
+    },
+    {
+      "job_title": "DS",
+      "job_title_average_salary": 81000
+    },
+    {
+      "job_title": "DE",
+      "job_title_average_salary": 142786
+    },
+    {
+      "job_title": "CVE",
+      "job_title_average_salary": 143536
+    },
+    {
+      "job_title": "DQA",
+      "job_title_average_salary": 85311
+    },
+    {
+      "job_title": "CDA",
+      "job_title_average_salary": 30000
+    },
+    {
+      "job_title": "DA",
+      "job_title_average_salary": 161714
+    },
+    {
+      "job_title": "AMLE",
+      "job_title_average_salary": 99876
+    },
+    {
+      "job_title": "AID",
+      "job_title_average_salary": 136666
+    },
+    {
+      "job_title": "RS",
+      "job_title_average_salary": 161214
+    },
+    {
+      "job_title": "DAM",
+      "job_title_average_salary": 141879
+    },
+    {
+      "job_title": "BDA",
+      "job_title_average_salary": 66065
+    },
+    {
+      "job_title": "ADS",
+      "job_title_average_salary": 113726
+    },
+    {
+      "job_title": "SDA",
+      "job_title_average_salary": 15000
+    },
+    {
+      "job_title": "EE",
+      "job_title_average_salary": 71395
+    },
+    {
+      "job_title": "DDE",
+      "job_title_average_salary": 53654
+    },
+    {
+      "job_title": "HD",
+      "job_title_average_salary": 183858
+    },
+    {
+      "job_title": "DSM",
+      "job_title_average_salary": 191279
+    },
+    {
+      "job_title": "DM",
+      "job_title_average_salary": 116613
+    },
+    {
+      "job_title": "MLR",
+      "job_title_average_salary": 105873
+    },
+    {
+      "job_title": "BDE",
+      "job_title_average_salary": 68672
+    },
+    {
+      "job_title": "DS",
+      "job_title_average_salary": 119643
+    },
+    {
+      "job_title": "LDA",
+      "job_title_average_salary": 72569
+    },
+    {
+      "job_title": "BIE",
+      "job_title_average_salary": 60000
+    },
+    {
+      "job_title": "DDS",
+      "job_title_average_salary": 195141
+    },
+    {
+      "job_title": "MLS",
+      "job_title_average_salary": 163220
+    },
+    {
+      "job_title": "MLE",
+      "job_title_average_salary": 129000
+    },
+    {
+      "job_title": "AIS",
+      "job_title_average_salary": 110121
+    },
+    {
+      "job_title": "AVT",
+      "job_title_average_salary": 26278
+    },
+    {
+      "job_title": "AMLS",
+      "job_title_average_salary": 109453
+    },
+    {
+      "job_title": "LDS",
+      "job_title_average_salary": 112776
+    },
+    {
+      "job_title": "CDE",
+      "job_title_average_salary": 155000
+    },
+    {
+      "job_title": "FDA",
+      "job_title_average_salary": 101667
+    },
+    {
+      "job_title": "DIE",
+      "job_title_average_salary": 175052
+    },
+    {
+      "job_title": "SDE",
+      "job_title_average_salary": 62510
+    },
+    {
+      "job_title": "AIP",
+      "job_title_average_salary": 55000
+    },
+    {
+      "job_title": "DOE",
+      "job_title_average_salary": 98485
+    },
+    {
+      "job_title": "BID",
+      "job_title_average_salary": 129846
+    },
+    {
+      "job_title": "DSL",
+      "job_title_average_salary": 156334
+    },
+    {
+      "job_title": "DLR",
+      "job_title_average_salary": 123405
+    },
+    {
+      "job_title": "BIA",
+      "job_title_average_salary": 104889
+    },
+    {
+      "job_title": "DSC",
+      "job_title_average_salary": 87012
+    },
+    {
+      "job_title": "DAS",
+      "job_title_average_salary": 95000
+    },
+    {
+      "job_title": "MLIE",
+      "job_title_average_salary": 143012
+    },
+    {
+      "job_title": "BDA",
+      "job_title_average_salary": 60440
+    },
+    {
+      "job_title": "HDS",
+      "job_title_average_salary": 160592
+    },
+    {
+      "job_title": "IA",
+      "job_title_average_salary": 46786
+    },
+    {
+      "job_title": "DLE",
+      "job_title_average_salary": 109241
+    },
+    {
+      "job_title": "MLSE",
+      "job_title_average_salary": 192420
+    },
+    {
+      "job_title": "BDA",
+      "job_title_average_salary": 125803
+    },
+    {
+      "job_title": "PDA",
+      "job_title_average_salary": 56497
+    },
+    {
+      "job_title": "CVSE",
+      "job_title_average_salary": 77695
+    },
+    {
+      "job_title": "ADE",
+      "job_title_average_salary": 100000
+    },
+    {
+      "job_title": "MDE",
+      "job_title_average_salary": 66970
+    },
+    {
+      "job_title": "DAL",
+      "job_title_average_salary": 211255
+    },
+    {
+      "job_title": "DL",
+      "job_title_average_salary": 212500
+    },
+    {
+      "job_title": "DSE",
+      "job_title_average_salary": 93482
+    },
+    {
+      "job_title": "MLRE",
+      "job_title_average_salary": 42819
+    },
+    {
+      "job_title": "NLPE",
+      "job_title_average_salary": 132785
+    },
+    {
+      "job_title": "MDM",
+      "job_title_average_salary": 125000
+    },
+    {
+      "job_title": "MLDE",
+      "job_title_average_salary": 74518
+    },
+    {
+      "job_title": "3DCVR",
+      "job_title_average_salary": 21352
+    },
+    {
+      "job_title": "PMLE",
+      "job_title_average_salary": 190000
+    },
+    {
+      "job_title": "DAE",
+      "job_title_average_salary": 67866
+    },
+    {
+      "job_title": "DAL",
+      "job_title_average_salary": 81500
+    },
+    {
+      "job_title": "DMS",
+      "job_title_average_salary": 68293
+    },
+    {
+      "job_title": "DSTL",
+      "job_title_average_salary": 375000
+    },
+    {
+      "job_title": "DSL",
+      "job_title_average_salary": 136153
+    },
+    {
+      "job_title": "CDE",
+      "job_title_average_salary": 87301
+    },
+    {
+      "job_title": "DOA",
+      "job_title_average_salary": 90563
+    },
+    {
+      "job_title": "MDA",
+      "job_title_average_salary": 144327
+    },
+    {
+      "job_title": "PBID",
+      "job_title_average_salary": 5409
+    },
+    {
+      "job_title": "PDA",
+      "job_title_average_salary": 8000
+    },
+    {
+      "job_title": "PDA",
+      "job_title_average_salary": 38154
+    },
+    {
+      "job_title": "MLM",
+      "job_title_average_salary": 155701
+    },
+    {
+      "job_title": "LMLE",
+      "job_title_average_salary": 82928
+    },
+    {
+      "job_title": "ED",
+      "job_title_average_salary": 131454
+    },
+    {
+      "job_title": "CDA",
+      "job_title_average_salary": 250000
+    },
+    {
+      "job_title": "LDE",
+      "job_title_average_salary": 139230
+    },
+    {
+      "job_title": "HML",
+      "job_title_average_salary": 76309
+    },
+    {
+      "job_title": "PDA",
+      "job_title_average_salary": 122500
+    },
+    {
+      "job_title": "PDE",
+      "job_title_average_salary": 192500
+    },
+    {
+      "job_title": "SDS",
+      "job_title_average_salary": 105000
+    },
+    {
+      "job_title": "FDA",
+      "job_title_average_salary": 61896
+    }
+  ]
+}
diff --git a/Homework2/Vue-Template/data/ds_salaries.json b/Homework2/Vue-Template/data/ds_salaries.json
new file mode 100644
index 0000000..444c92b
--- /dev/null
+++ b/Homework2/Vue-Template/data/ds_salaries.json
@@ -0,0 +1,48817 @@
+[
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Principal Data Scientist",
+   "salary": 80000,
+   "salary_currency": "EUR",
+   "salary_in_usd": 85847,
+   "employee_residence": "ES",
+   "remote_ratio": 100,
+   "company_location": "ES",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "MI",
+   "employment_type": "CT",
+   "job_title": "ML Engineer",
+   "salary": 30000,
+   "salary_currency": "USD",
+   "salary_in_usd": 30000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "S"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "MI",
+   "employment_type": "CT",
+   "job_title": "ML Engineer",
+   "salary": 25500,
+   "salary_currency": "USD",
+   "salary_in_usd": 25500,
+   "employee_residence": "US",
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+   "company_location": "IL",
+   "company_size": "M"
+ },
+ {
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+   "experience_level": "MI",
+   "employment_type": "FT",
+   "job_title": "Applied Machine Learning Scientist",
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+   "salary_currency": "USD",
+   "salary_in_usd": 423000,
+   "employee_residence": "US",
+   "remote_ratio": 50,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2021,
+   "experience_level": "MI",
+   "employment_type": "FT",
+   "job_title": "Data Engineer",
+   "salary": 24000,
+   "salary_currency": "EUR",
+   "salary_in_usd": 28369,
+   "employee_residence": "MT",
+   "remote_ratio": 50,
+   "company_location": "MT",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2021,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Specialist",
+   "salary": 165000,
+   "salary_currency": "USD",
+   "salary_in_usd": 165000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2020,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Scientist",
+   "salary": 412000,
+   "salary_currency": "USD",
+   "salary_in_usd": 412000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2021,
+   "experience_level": "MI",
+   "employment_type": "FT",
+   "job_title": "Principal Data Scientist",
+   "salary": 151000,
+   "salary_currency": "USD",
+   "salary_in_usd": 151000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2020,
+   "experience_level": "EN",
+   "employment_type": "FT",
+   "job_title": "Data Scientist",
+   "salary": 105000,
+   "salary_currency": "USD",
+   "salary_in_usd": 105000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "S"
+ },
+ {
+   "work_year": 2020,
+   "experience_level": "EN",
+   "employment_type": "CT",
+   "job_title": "Business Data Analyst",
+   "salary": 100000,
+   "salary_currency": "USD",
+   "salary_in_usd": 100000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2021,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Science Manager",
+   "salary": 7000000,
+   "salary_currency": "INR",
+   "salary_in_usd": 94665,
+   "employee_residence": "IN",
+   "remote_ratio": 50,
+   "company_location": "IN",
+   "company_size": "L"
+ }
+]
\ No newline at end of file
diff --git a/Homework2/Vue-Template/data/job_title_count.json b/Homework2/Vue-Template/data/job_title_count.json
new file mode 100644
index 0000000..08f31ef
--- /dev/null
+++ b/Homework2/Vue-Template/data/job_title_count.json
@@ -0,0 +1,376 @@
+{
+  "data":[
+    {
+      "job_title": "Principal Data Scientist",
+      "job_title_count": 8
+    },
+    {
+      "job_title": "ML Engineer",
+      "job_title_count": 34
+    },
+    {
+      "job_title": "Data Scientist",
+      "job_title_count": 840
+    },
+    {
+      "job_title": "Applied Scientist",
+      "job_title_count": 58
+    },
+    {
+      "job_title": "Data Analyst",
+      "job_title_count": 612
+    },
+    {
+      "job_title": "Data Modeler",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Research Engineer",
+      "job_title_count": 37
+    },
+    {
+      "job_title": "Analytics Engineer",
+      "job_title_count": 103
+    },
+    {
+      "job_title": "Business Intelligence Engineer",
+      "job_title_count": 4
+    },
+    {
+      "job_title": "Machine Learning Engineer",
+      "job_title_count": 289
+    },
+    {
+      "job_title": "Data Strategist",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data Engineer",
+      "job_title_count": 1040
+    },
+    {
+      "job_title": "Computer Vision Engineer",
+      "job_title_count": 18
+    },
+    {
+      "job_title": "Data Quality Analyst",
+      "job_title_count": 7
+    },
+    {
+      "job_title": "Compliance Data Analyst",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Data Architect",
+      "job_title_count": 101
+    },
+    {
+      "job_title": "Applied Machine Learning Engineer",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "AI Developer",
+      "job_title_count": 11
+    },
+    {
+      "job_title": "Research Scientist",
+      "job_title_count": 82
+    },
+    {
+      "job_title": "Data Analytics Manager",
+      "job_title_count": 22
+    },
+    {
+      "job_title": "Business Data Analyst",
+      "job_title_count": 15
+    },
+    {
+      "job_title": "Applied Data Scientist",
+      "job_title_count": 10
+    },
+    {
+      "job_title": "Staff Data Analyst",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "ETL Engineer",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data DevOps Engineer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Head of Data",
+      "job_title_count": 10
+    },
+    {
+      "job_title": "Data Science Manager",
+      "job_title_count": 58
+    },
+    {
+      "job_title": "Data Manager",
+      "job_title_count": 29
+    },
+    {
+      "job_title": "Machine Learning Researcher",
+      "job_title_count": 6
+    },
+    {
+      "job_title": "Big Data Engineer",
+      "job_title_count": 11
+    },
+    {
+      "job_title": "Data Specialist",
+      "job_title_count": 14
+    },
+    {
+      "job_title": "Lead Data Analyst",
+      "job_title_count": 5
+    },
+    {
+      "job_title": "BI Data Engineer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Director of Data Science",
+      "job_title_count": 11
+    },
+    {
+      "job_title": "Machine Learning Scientist",
+      "job_title_count": 26
+    },
+    {
+      "job_title": "MLOps Engineer",
+      "job_title_count": 4
+    },
+    {
+      "job_title": "AI Scientist",
+      "job_title_count": 16
+    },
+    {
+      "job_title": "Autonomous Vehicle Technician",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Applied Machine Learning Scientist",
+      "job_title_count": 12
+    },
+    {
+      "job_title": "Lead Data Scientist",
+      "job_title_count": 12
+    },
+    {
+      "job_title": "Cloud Database Engineer",
+      "job_title_count": 5
+    },
+    {
+      "job_title": "Financial Data Analyst",
+      "job_title_count": 3
+    },
+    {
+      "job_title": "Data Infrastructure Engineer",
+      "job_title_count": 6
+    },
+    {
+      "job_title": "Software Data Engineer",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "AI Programmer",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data Operations Engineer",
+      "job_title_count": 10
+    },
+    {
+      "job_title": "BI Developer",
+      "job_title_count": 13
+    },
+    {
+      "job_title": "Data Science Lead",
+      "job_title_count": 8
+    },
+    {
+      "job_title": "Deep Learning Researcher",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "BI Analyst",
+      "job_title_count": 9
+    },
+    {
+      "job_title": "Data Science Consultant",
+      "job_title_count": 24
+    },
+    {
+      "job_title": "Data Analytics Specialist",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Machine Learning Infrastructure Engineer",
+      "job_title_count": 11
+    },
+    {
+      "job_title": "BI Data Analyst",
+      "job_title_count": 15
+    },
+    {
+      "job_title": "Head of Data Science",
+      "job_title_count": 9
+    },
+    {
+      "job_title": "Insight Analyst",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Deep Learning Engineer",
+      "job_title_count": 6
+    },
+    {
+      "job_title": "Machine Learning Software Engineer",
+      "job_title_count": 10
+    },
+    {
+      "job_title": "Big Data Architect",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Product Data Analyst",
+      "job_title_count": 5
+    },
+    {
+      "job_title": "Computer Vision Software Engineer",
+      "job_title_count": 5
+    },
+    {
+      "job_title": "Azure Data Engineer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Marketing Data Engineer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Data Analytics Lead",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data Lead",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data Science Engineer",
+      "job_title_count": 5
+    },
+    {
+      "job_title": "Machine Learning Research Engineer",
+      "job_title_count": 4
+    },
+    {
+      "job_title": "NLP Engineer",
+      "job_title_count": 7
+    },
+    {
+      "job_title": "Manager Data Management",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Machine Learning Developer",
+      "job_title_count": 7
+    },
+    {
+      "job_title": "3D Computer Vision Researcher",
+      "job_title_count": 4
+    },
+    {
+      "job_title": "Principal Machine Learning Engineer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Data Analytics Engineer",
+      "job_title_count": 6
+    },
+    {
+      "job_title": "Data Analytics Consultant",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Data Management Specialist",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Data Science Tech Lead",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Data Scientist Lead",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Cloud Data Engineer",
+      "job_title_count": 3
+    },
+    {
+      "job_title": "Data Operations Analyst",
+      "job_title_count": 4
+    },
+    {
+      "job_title": "Marketing Data Analyst",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Power BI Developer",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Product Data Scientist",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Principal Data Architect",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Machine Learning Manager",
+      "job_title_count": 3
+    },
+    {
+      "job_title": "Lead Machine Learning Engineer",
+      "job_title_count": 3
+    },
+    {
+      "job_title": "ETL Developer",
+      "job_title_count": 10
+    },
+    {
+      "job_title": "Cloud Data Architect",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Lead Data Engineer",
+      "job_title_count": 6
+    },
+    {
+      "job_title": "Head of Machine Learning",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Principal Data Analyst",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Principal Data Engineer",
+      "job_title_count": 2
+    },
+    {
+      "job_title": "Staff Data Scientist",
+      "job_title_count": 1
+    },
+    {
+      "job_title": "Finance Data Analyst",
+      "job_title_count": 1
+    }
+  ]
+}
\ No newline at end of file
diff --git a/Homework2/Vue-Template/package-lock.json b/Homework2/Vue-Template/package-lock.json
index f83d075..c6d4b2e 100644
--- a/Homework2/Vue-Template/package-lock.json
+++ b/Homework2/Vue-Template/package-lock.json
@@ -10,17 +10,22 @@
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         "axios": "^1.2.1",
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         "pinia": "^2.0.28",
         "vite-plugin-vuetify": "^1.0.1",
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       "version": "2.3.2",
       "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
       "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
-      "dev": true,
       "hasInstallScript": true,
       "optional": true,
       "os": [
@@ -1648,6 +1685,11 @@
         "node": ">=6"
       }
     },
+    "node_modules/papaparse": {
+      "version": "5.4.1",
+      "resolved": "https://registry.npmjs.org/papaparse/-/papaparse-5.4.1.tgz",
+      "integrity": "sha512-HipMsgJkZu8br23pW15uvo6sib6wne/4woLZPlFf3rpDyMe9ywEXUsuD7+6K9PRkJlVT51j/sCOYDKGGS3ZJrw=="
+    },
     "node_modules/path-exists": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
@@ -1698,9 +1740,9 @@
       }
     },
     "node_modules/postcss": {
-      "version": "8.4.24",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.24.tgz",
-      "integrity": "sha512-M0RzbcI0sO/XJNucsGjvWU9ERWxb/ytp1w6dKtxTKgixdtQDq4rmx/g8W1hnaheq9jgwL/oyEdH5Bc4WwJKMqg==",
+      "version": "8.4.31",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.31.tgz",
+      "integrity": "sha512-PS08Iboia9mts/2ygV3eLpY5ghnUcfLV/EXTOW1E2qYxJKGGBUtNjN76FYHnMs36RmARn41bC0AZmn+rR0OVpQ==",
       "funding": [
         {
           "type": "opencollective",
@@ -1760,9 +1802,9 @@
       "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
     },
     "node_modules/semver": {
-      "version": "6.3.0",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz",
-      "integrity": "sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw==",
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
+      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
       "bin": {
         "semver": "bin/semver.js"
       }
@@ -1775,6 +1817,11 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/stream-transform": {
+      "version": "3.2.10",
+      "resolved": "https://registry.npmjs.org/stream-transform/-/stream-transform-3.2.10.tgz",
+      "integrity": "sha512-Yu+x7zcWbWdyB0Td8dFzHt2JEyD6694CNq2lqh1rbuEBVxPtjb/GZ7xDnZcdYiU5E/RtufM54ClSEOzZDeWguA=="
+    },
     "node_modules/typescript": {
       "version": "4.9.5",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.9.5.tgz",
@@ -1788,6 +1835,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.25.3",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.25.3.tgz",
+      "integrity": "sha512-Ga1jfYwRn7+cP9v8auvEXN1rX3sWqlayd4HP7OKk4mZWylEmu3KzXDUGrQUN6Ol7qo1gPvB2e5gX6udnyEPgdA==",
+      "devOptional": true
+    },
     "node_modules/upath": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/upath/-/upath-2.0.1.tgz",
@@ -1873,6 +1926,27 @@
         "@vue/shared": "3.3.4"
       }
     },
+    "node_modules/vue-csv-import": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/vue-csv-import/-/vue-csv-import-4.1.2.tgz",
+      "integrity": "sha512-sw/iY3taDUjkA7c/OF8waknrUzJKTm0imyom/cmeMUT68pKvN/mG6ufJPMIppzpulJ+y7Rpuo+aAtrnwyb0yGg==",
+      "dependencies": {
+        "axios": "^0.21.1",
+        "lodash": "^4.17.20",
+        "papaparse": "^5.0.0"
+      },
+      "peerDependencies": {
+        "vue": "^3.0.4"
+      }
+    },
+    "node_modules/vue-csv-import/node_modules/axios": {
+      "version": "0.21.4",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-0.21.4.tgz",
+      "integrity": "sha512-ut5vewkiu8jjGBdqpM44XxjuCjq9LAKeHVmoVfHVzy8eHgxxq8SbAVQNovDA8mVi05kP0Ea/n/UzcSHcTJQfNg==",
+      "dependencies": {
+        "follow-redirects": "^1.14.0"
+      }
+    },
     "node_modules/vue-demi": {
       "version": "0.14.5",
       "resolved": "https://registry.npmjs.org/vue-demi/-/vue-demi-0.14.5.tgz",
diff --git a/Homework2/Vue-Template/package.json b/Homework2/Vue-Template/package.json
index 13e7ce0..f06e4b8 100644
--- a/Homework2/Vue-Template/package.json
+++ b/Homework2/Vue-Template/package.json
@@ -11,17 +11,22 @@
   "dependencies": {
     "@vueuse/core": "^9.9.0",
     "axios": "^1.2.1",
+    "csv": "^6.3.5",
+    "csv-reader": "^1.0.12",
     "d3": "^7.8.0",
     "lodash": "^4.17.21",
     "pinia": "^2.0.28",
     "vite-plugin-vuetify": "^1.0.1",
     "vue": "^3.2.45",
+    "vue-csv-import": "^4.1.2",
     "vuetify": "^3.0.6"
   },
   "devDependencies": {
     "@types/d3": "^7.4.0",
     "@types/lodash": "^4.14.191",
+    "@types/papaparse": "^5.3.10",
     "@vitejs/plugin-vue": "^4.0.0",
+    "papaparse": "^5.4.1",
     "typescript": "^4.9.3",
     "vite": "^4.0.0",
     "vue-tsc": "^1.0.11"
diff --git a/Homework2/Vue-Template/src/App.vue b/Homework2/Vue-Template/src/App.vue
index f046740..607b829 100644
--- a/Homework2/Vue-Template/src/App.vue
+++ b/Homework2/Vue-Template/src/App.vue
@@ -2,6 +2,8 @@
 
 import Notes from './components/Notes.vue'
 import Example from './components/Example.vue'
+import AverageSalary from './components/Bar.vue'
+// import Visualization from './components/Visualization.vue';
 /*
 import ExampleWithLegend from './components/ExampleWithLegend.vue';
 import ExampleWithInteractions from './components/ExampleWithInteractions.vue';*/
@@ -9,7 +11,9 @@ import ExampleWithInteractions from './components/ExampleWithInteractions.vue';*
 export default {
   components: {
     Notes,
+    AverageSalary,
     Example,
+    // Visualization,
     /*
     ExampleWithLegend,
     ExampleWithInteractions*/
@@ -17,12 +21,49 @@ export default {
 }
 </script>
 
-<!--This is using the grid component from Vuetify to do layout design-->
+
 <template>
+  <div>
+      <a-row type="flex">
+          <a-col :flex="3" type="flex">
+              <a-row :flex="1">
+                  <a-card title="The Popularity of Different Jobs' " style="width: 95%">
+                      <Example/>
+                  </a-card>
+              </a-row>
+              <br />
+              <a-row :flex="1">
+                  <a-card title="" style="width: 95%">
+                      <AverageSalary/>
+                  </a-card>
+              </a-row>
+          </a-col>
+          <a-col :flex="2">
+              <a-card title="Overview of Job Salary" style="width: 95%">
+                  <Example/> 
+              </a-card>
+          </a-col>
+      </a-row>
+      <br />
+  </div>
+</template>
+
+
+
+
+<!--This is using the grid component from Vuetify to do layout design-->
+<!-- <template>
+  <div>
+    <dashboard-visualization
+      v-for="(visualization, index) in visualizations"
+      :key="index"
+      :data="visualization"
+    ></dashboard-visualization>
+  </div>
   <v-container id="main-container" class="d-flex flex-column flex-nowrap" fluid>
     <v-row no-gutters>
       <v-col cols="5">
-        <Example />
+        <AverageSalary />
       </v-col>
     </v-row>
     <v-row no-gutters>
@@ -31,7 +72,7 @@ export default {
       </v-col>
     </v-row>
   </v-container>
-</template>
+</template> -->
 
 <style scoped>
 #main-container{
diff --git a/Homework2/Vue-Template/src/components/Bar.vue b/Homework2/Vue-Template/src/components/Bar.vue
new file mode 100644
index 0000000..acadc2d
--- /dev/null
+++ b/Homework2/Vue-Template/src/components/Bar.vue
@@ -0,0 +1,144 @@
+<script lang="ts">
+import * as d3 from "d3";
+import Data from '../../data/average_salary.json';
+import { isEmpty, debounce } from 'lodash';
+
+import { Bar1, ComponentSize, Margin } from '../types';
+
+interface jobTitleBar extends Bar1 {
+  job_title: string;
+  color: string;
+}
+
+export default {
+  data() {
+    return {
+      bars: [] as jobTitleBar[],
+      size: { width: 10, height: 0 } as ComponentSize,
+      margin: { left: 60, right: 10, top: 10, bottom: 60 } as Margin,
+    };
+  },
+  computed: {
+    rerender() {
+      return !isEmpty(this.bars) && this.size;
+    },
+  },
+  created() {
+    console.log(Data);
+    if (isEmpty(Data)) return;
+
+    this.bars = Data.data.map((item) => ({
+      job_title: item.job_title,
+      job_title_average_salary: item.job_title_average_salary,
+      color: getRandomColor(),
+    }));
+  },
+  methods: {
+    onResize() {
+      let target = this.$refs.barContainer as HTMLElement;
+      if (target === undefined) return;
+      this.size = { width: target.clientWidth, height: target.clientHeight };
+    },
+    initChart() {
+      let chartContainer = d3.select('#bar-svg');
+
+      let yExtents = d3.extent(this.bars.map((d: jobTitleBar) => d.job_title_average_salary));
+      let xCategories = this.bars.map((d: jobTitleBar) => d.job_title);
+
+      let xScale = d3.scaleBand()
+        .rangeRound([this.margin.left, this.size.width - this.margin.right])
+        .domain(xCategories)
+        .padding(0.2);
+
+      let yScale = d3.scaleLinear()
+        .range([this.size.height - this.margin.bottom, this.margin.top])
+        .domain([0, yExtents[1]]);
+
+      const xAxis = chartContainer.append('g')
+        .attr('transform', `translate(0, ${this.size.height - this.margin.bottom})`)
+        .call(d3.axisBottom(xScale))
+        .selectAll('text')
+        .style('font-size', '12px')
+        .attr('transform', 'rotate(-45)')
+        .style('text-anchor', 'end');
+
+      const yAxis = chartContainer.append('g')
+        .attr('transform', `translate(${this.margin.left}, 0)`)
+        .call(d3.axisLeft(yScale));
+
+      const yLabel = chartContainer.append('g')
+        .attr('transform', `translate(${10}, ${this.size.height / 2}) rotate(-90)`)
+        .append('text')
+        .text('Total Salary')
+        .style('font-size', '.8rem');
+
+      const xLabel = chartContainer.append('g')
+        .attr('transform', `translate(${this.size.width / 2 - this.margin.left}, ${this.size.height - this.margin.top - 5})`)
+        .append('text')
+        .text('Job Title')
+        .style('font-size', '.8rem');
+
+      const bars = chartContainer.append('g')
+        .selectAll('rect')
+        .data<jobTitleBar>(this.bars)
+        .join('rect')
+        .attr('x', (d: jobTitleBar) => xScale(d.job_title))
+        .attr('y', (d: jobTitleBar) => yScale(d.job_title_average_salary))
+        .attr('width', xScale.bandwidth())
+        .attr('height', (d: jobTitleBar) => Math.abs(yScale(0) - yScale(d.job_title_average_salary)))
+        .attr('fill', (d: jobTitleBar) => d.color);
+
+      const title = chartContainer.append('g')
+        .append('text')
+        .attr('transform', `translate(${this.size.width / 2}, ${this.size.height - this.margin.top + 5})`)
+        .attr('dy', '0.5rem')
+        .style('text-anchor', 'middle')
+        .style('font-weight', 'bold')
+        .text('Bar Chart about Total Salary');
+    },
+  },
+  watch: {
+    rerender(newSize) {
+      if (!isEmpty(newSize)) {
+        d3.select('#bar-svg').selectAll('*').remove();
+        this.initChart();
+      }
+    },
+  },
+  mounted() {
+    window.addEventListener('resize', debounce(this.onResize, 100));
+    this.onResize();
+  },
+  beforeDestroy() {
+    window.removeEventListener('resize', this.onResize);
+  },
+};
+
+function getRandomColor() {
+  const letters = '0123456789ABCDEF';
+  let color = '#';
+  for (let i = 0; i < 6; i++) {
+    color += letters[Math.floor(Math.random() * 16)];
+  }
+  return color;
+}
+</script>
+
+<template>
+  <div class="chart-container d-flex" ref="barContainer">
+    <div class="scroll-container">
+      <svg id="bar-svg" :width="size.width" :height="size.height" :style="{ overflowX: 'auto' }">
+      </svg>
+    </div>
+  </div>
+</template>
+
+<style scoped>
+.chart-container {
+  height: 100%;
+}
+
+.scroll-container {
+  overflow-x: auto;
+}
+</style>
diff --git a/Homework2/Vue-Template/src/components/Line.vue b/Homework2/Vue-Template/src/components/Line.vue
new file mode 100644
index 0000000..fb273d8
--- /dev/null
+++ b/Homework2/Vue-Template/src/components/Line.vue
@@ -0,0 +1,155 @@
+<script lang="ts">
+import * as d3 from "d3";
+import Data from '../../data/average_remote_ratio.json';
+import axios from 'axios';
+import { isEmpty, debounce } from 'lodash';
+
+import { Line, ComponentSize, Margin } from '../types';
+// A "extends" B means A inherits the properties and methods from B.
+interface jobTitleBar extends Line{
+    job_title: string;
+}
+
+
+// Computed property: https://vuejs.org/guide/essentials/computed.html
+// Lifecycle in vue.js: https://vuejs.org/guide/essentials/lifecycle.html#lifecycle-diagram
+
+export default {
+    data() {
+        // Here we define the local states of this component. If you think the component as a class, then these are like its private variables.
+        return {
+            bars: [] as jobTitleBar[], // "as <Type>" is a TypeScript expression to indicate what data structures this variable is supposed to store.
+            size: { width: 10, height: 0 } as ComponentSize,
+            margin: {left: 60, right: 0, top: 10, bottom: 100} as Margin,
+        }
+    },
+    computed: {
+        // Re-render the chart whenever the window is resized or the data changes (and data is non-empty)
+        rerender() {
+            return (!isEmpty(this.bars)) && this.size
+        }
+    },
+    // Anything in here will only be executed once.
+    // Refer to the lifecycle in Vue.js for more details, mentioned at the very top of this file.
+    created() {
+        // fetch the data via GET request when we init this component. 
+        // In axios anything we send back in the response are always bound to the "data" property.
+        /*
+        axios.get(`<some-API-endpoint>`)
+            .then(resp => { 
+                this.bars = resp.data; // resp.data contains the content, with the format specified by the API you use.
+                return true;
+            })
+            .catch(error => console.log(error));
+        */
+        console.log(Data);
+        if (isEmpty(Data)) return;
+        this.bars = Data.data;
+    },
+    methods: {
+        onResize() {  // record the updated size of the target element
+            let target = this.$refs.barContainer as HTMLElement
+            if (target === undefined) return;
+            this.size = { width: target.clientWidth, height: target.clientHeight };
+        },
+        initChart() {
+            // select the svg tag so that we can insert(render) elements, i.e., draw the chart, within it.
+            let chartContainer = d3.select('#bar-svg')
+
+            // Here we compute the [min, max] from the data values of the attributes that will be used to represent x- and y-axis.
+            let yExtents = d3.extent(this.bars.map((d: jobTitleBar) => d.job_title_average_remote_ratio as number)) as [number, number]
+            // This is to get the unique categories from the data using Set, then store in an array.
+            let xCategories: string[] = [ ...new Set(this.bars.map((d: jobTitleBar) => d.job_title as string))]
+
+            // We need a way to map our data to where it should be rendered within the svg (in screen pixels), based on the data value, 
+            //      so the extents and the unique values above help us define the limits.
+            // Scales are just like mapping functions y = f(x), where x refers to domain, y refers to range. 
+            //      In our case, x should be the data, y should be the screen pixels.
+            // We have the margin here just to leave some space
+            // In viewport (our screen), the leftmost side always refer to 0 in the horizontal coordinates in pixels (x). 
+            var svg = d3.select('#rotate')
+                .append('svg')
+                    .attr("width", 1000)
+                    .attr("height", 300)
+            
+            let xScale = d3.scaleBand()
+                .rangeRound([this.margin.left, this.size.width - this.margin.right])
+                .domain(xCategories)
+                .padding(0.2) // spacing between the categories
+
+            // In viewport (our screen), the topmost side always refer to 0 in the vertical coordinates in pixels (y). 
+            let yScale = d3.scaleLinear()
+                .range([this.size.height - this.margin.bottom, this.margin.top]) //bottom side to the top side on the screen
+                .domain([0, yExtents[1]]) // This is based on your data, but if there is a natural value range for your data attribute, you should follow
+                // e.g., it is natural to define [0, 100] for the exame score, or [0, <maxVal>] for counts.
+
+            // There are other scales such as scaleOrdinal,
+                // whichever is appropriate depends on the data types and the kind of visualizations you're creating.
+
+            // This following part visualizes the axes along with axis labels.
+            // Check out https://observablehq.com/@d3/margin-convention?collection=@d3/d3-axis for more details
+            const xAxis = chartContainer.append('g')
+                .attr('transform', `translate(0, ${this.size.height - this.margin.bottom})`)
+                .call(d3.axisBottom(xScale))
+
+            const yAxis = chartContainer.append('g')
+                .attr('transform', `translate(${this.margin.left}, 0)`)
+                .call(d3.axisLeft(yScale))
+
+            const yLabel = chartContainer.append('g')
+                .attr('transform', `translate(${10}, ${this.size.height / 2}) rotate(-90)`)
+                .append('text')
+                .text('Average Salary')
+                .style('font-size', '.8rem')
+
+            const xLabel = chartContainer.append('g')
+                .attr('transform', `translate(${this.size.width / 2 - this.margin.left}, ${this.size.height - this.margin.top - 5})`)
+                .append('text')
+                .text('Job Title')
+                .style('font-size', '.8rem')
+            
+            // "g" is grouping element that does nothing but helps avoid DOM looking like a mess
+            // We iterate through each <CategoricalBar> element in the array, create a rectangle for each and indicate the coordinates, the rectangle, and the color.
+            const bars = chartContainer.append('g')
+                .selectAll('rect')
+                .data<jobTitleBar>(this.bars) // TypeScript expression. This always expects an array of objects.
+                .join('rect')
+                // specify the left-top coordinate of the rectangle
+                .attr('x', (d: jobTitleBar) => xScale(d.job_title) as number)
+                .attr('y', (d: jobTitleBar) => yScale(d.job_title_average_remote_ratio) as number)
+                // specify the size of the rectangle
+                .attr('width', xScale.bandwidth())
+                .attr('height', (d: jobTitleBar) => Math.abs(yScale(0) - yScale(d.job_title_average_remote_ratio))) // this substraction is reversed so the result is non-negative
+                .attr('fill', 'teal')
+
+            d3.svg.append("g")
+                .attr
+            // For transform, check out https://www.tutorialspoint.com/d3js/d3js_svg_transformation.htm, but essentially we are adjusting the positions of the selected elements.
+            const title = chartContainer.append('g')
+                .append('text') // adding the text
+                .attr('transform', `translate(${this.size.width / 2}, ${this.size.height - this.margin.top + 5})`)
+                .attr('dy', '0.5rem') // relative distance from the indicated coordinates.
+                .style('text-anchor', 'middle')
+                .style('font-weight', 'bold')
+                .text('Bar Chart about Average Salary') // text content
+        }
+    },
+    watch: {
+        rerender(newSize) {
+            if (!isEmpty(newSize)) {
+                d3.select('#bar-svg').selectAll('*').remove() // Clean all the elements in the chart
+                this.initChart()
+            }
+        }
+    },
+    // The following are general setup for resize events.
+    mounted() {
+        window.addEventListener('resize', debounce(this.onResize, 100)) 
+        this.onResize()
+    },
+    beforeDestroy() {
+       window.removeEventListener('resize', this.onResize)
+    }
+}
+
+</script>
\ No newline at end of file
diff --git a/Homework2/Vue-Template/src/components/Visualization.vue b/Homework2/Vue-Template/src/components/Visualization.vue
new file mode 100644
index 0000000..08d9e5a
--- /dev/null
+++ b/Homework2/Vue-Template/src/components/Visualization.vue
@@ -0,0 +1,6 @@
+<script lang="ts">
+import * as d3 from "d3";
+import Data from '../../data/ds_salaries.json'; 
+import axios from 'axios';
+import { isEmpty, debounce, method } from 'lodash';
+import { createHydrationRenderer } from "vue";
diff --git a/Homework2/Vue-Template/src/components/old.vue b/Homework2/Vue-Template/src/components/old.vue
new file mode 100644
index 0000000..503cea1
--- /dev/null
+++ b/Homework2/Vue-Template/src/components/old.vue
@@ -0,0 +1,331 @@
+<script lang="ts">
+import * as d3 from "d3";
+import Data from '../../data/average_salary.json';
+import axios from 'axios';
+import { isEmpty, debounce } from 'lodash';
+
+import { Bar1, ComponentSize, Margin } from '../types';
+// A "extends" B means A inherits the properties and methods from B.
+interface jobTitleBar extends Bar1{
+    job_title: string;
+}
+
+
+// Computed property: https://vuejs.org/guide/essentials/computed.html
+// Lifecycle in vue.js: https://vuejs.org/guide/essentials/lifecycle.html#lifecycle-diagram
+
+export default {
+    data() {
+        // Here we define the local states of this component. If you think the component as a class, then these are like its private variables.
+        return {
+            bars: [] as jobTitleBar[], // "as <Type>" is a TypeScript expression to indicate what data structures this variable is supposed to store.
+            size: { width: 10, height: 0 } as ComponentSize,
+            margin: {left: 60, right: 0, top: 10, bottom: 100} as Margin,
+        }
+    },
+    computed: {
+        // Re-render the chart whenever the window is resized or the data changes (and data is non-empty)
+        rerender() {
+            return (!isEmpty(this.bars)) && this.size
+        }
+    },
+    // Anything in here will only be executed once.
+    // Refer to the lifecycle in Vue.js for more details, mentioned at the very top of this file.
+    created() {
+        // fetch the data via GET request when we init this component. 
+        // In axios anything we send back in the response are always bound to the "data" property.
+        /*
+        axios.get(`<some-API-endpoint>`)
+            .then(resp => { 
+                this.bars = resp.data; // resp.data contains the content, with the format specified by the API you use.
+                return true;
+            })
+            .catch(error => console.log(error));
+        */
+        console.log(Data);
+        if (isEmpty(Data)) return;
+        this.bars = Data.data;
+    },
+    methods: {
+        onResize() {  // record the updated size of the target element
+            let target = this.$refs.barContainer as HTMLElement
+            if (target === undefined) return;
+            this.size = { width: target.clientWidth, height: target.clientHeight };
+        },
+        initChart() {
+            // select the svg tag so that we can insert(render) elements, i.e., draw the chart, within it.
+            let chartContainer = d3.select('#bar-svg')
+
+            // Here we compute the [min, max] from the data values of the attributes that will be used to represent x- and y-axis.
+            let yExtents = d3.extent(this.bars.map((d: jobTitleBar) => d.job_title_average_salary as number)) as [number, number]
+            // This is to get the unique categories from the data using Set, then store in an array.
+            let xCategories: string[] = [ ...new Set(this.bars.map((d: jobTitleBar) => d.job_title as string))]
+
+            // We need a way to map our data to where it should be rendered within the svg (in screen pixels), based on the data value, 
+            //      so the extents and the unique values above help us define the limits.
+            // Scales are just like mapping functions y = f(x), where x refers to domain, y refers to range. 
+            //      In our case, x should be the data, y should be the screen pixels.
+            // We have the margin here just to leave some space
+            // In viewport (our screen), the leftmost side always refer to 0 in the horizontal coordinates in pixels (x). 
+            var svg = d3.select('#rotate')
+                .append('svg')
+                    .attr("width", 1000)
+                    .attr("height", 300)
+            
+            let xScale = d3.scaleBand()
+                .rangeRound([this.margin.left, this.size.width - this.margin.right])
+                .domain(xCategories)
+                .padding(0.2) // spacing between the categories
+
+            // In viewport (our screen), the topmost side always refer to 0 in the vertical coordinates in pixels (y). 
+            let yScale = d3.scaleLinear()
+                .range([this.size.height - this.margin.bottom, this.margin.top]) //bottom side to the top side on the screen
+                .domain([0, yExtents[1]]) // This is based on your data, but if there is a natural value range for your data attribute, you should follow
+                // e.g., it is natural to define [0, 100] for the exame score, or [0, <maxVal>] for counts.
+
+            // There are other scales such as scaleOrdinal,
+                // whichever is appropriate depends on the data types and the kind of visualizations you're creating.
+
+            // This following part visualizes the axes along with axis labels.
+            // Check out https://observablehq.com/@d3/margin-convention?collection=@d3/d3-axis for more details
+            const xAxis = chartContainer.append('g')
+                .attr('transform', `translate(0, ${this.size.height - this.margin.bottom})`)
+                .call(d3.axisBottom(xScale))
+
+            const yAxis = chartContainer.append('g')
+                .attr('transform', `translate(${this.margin.left}, 0)`)
+                .call(d3.axisLeft(yScale))
+
+            const yLabel = chartContainer.append('g')
+                .attr('transform', `translate(${10}, ${this.size.height / 2}) rotate(-90)`)
+                .append('text')
+                .text('Average Salary')
+                .style('font-size', '.8rem')
+
+            const xLabel = chartContainer.append('g')
+                .attr('transform', `translate(${this.size.width / 2 - this.margin.left}, ${this.size.height - this.margin.top - 5})`)
+                .append('text')
+                .text('Job Title')
+                .style('font-size', '.8rem')
+            
+            // "g" is grouping element that does nothing but helps avoid DOM looking like a mess
+            // We iterate through each <CategoricalBar> element in the array, create a rectangle for each and indicate the coordinates, the rectangle, and the color.
+            const bars = chartContainer.append('g')
+                .selectAll('rect')
+                .data<jobTitleBar>(this.bars) // TypeScript expression. This always expects an array of objects.
+                .join('rect')
+                // specify the left-top coordinate of the rectangle
+                .attr('x', (d: jobTitleBar) => xScale(d.job_title) as number)
+                .attr('y', (d: jobTitleBar) => yScale(d.job_title_average_salary) as number)
+                // specify the size of the rectangle
+                .attr('width', xScale.bandwidth())
+                .attr('height', (d: jobTitleBar) => Math.abs(yScale(0) - yScale(d.job_title_average_salary))) // this substraction is reversed so the result is non-negative
+                .attr('fill', 'teal')
+
+            d3.svg.append("g")
+                .attr
+            // For transform, check out https://www.tutorialspoint.com/d3js/d3js_svg_transformation.htm, but essentially we are adjusting the positions of the selected elements.
+            const title = chartContainer.append('g')
+                .append('text') // adding the text
+                .attr('transform', `translate(${this.size.width / 2}, ${this.size.height - this.margin.top + 5})`)
+                .attr('dy', '0.5rem') // relative distance from the indicated coordinates.
+                .style('text-anchor', 'middle')
+                .style('font-weight', 'bold')
+                .text('Bar Chart about Average Salary') // text content
+        }
+    },
+    watch: {
+        rerender(newSize) {
+            if (!isEmpty(newSize)) {
+                d3.select('#bar-svg').selectAll('*').remove() // Clean all the elements in the chart
+                this.initChart()
+            }
+        }
+    },
+    // The following are general setup for resize events.
+    mounted() {
+        window.addEventListener('resize', debounce(this.onResize, 100)) 
+        this.onResize()
+    },
+    beforeDestroy() {
+       window.removeEventListener('resize', this.onResize)
+    }
+}
+
+</script>
+
+<!-- "ref" registers a reference to the HTML element so that we can access it via the reference in Vue.  -->
+<!-- We use flex (d-flex) to arrange the layout-->
+<template>
+    <div class="chart-container d-flex" ref="barContainer">
+        <svg id="bar-svg" width="100%" height="100%">
+            <!-- all the visual elements we create in initChart() will be inserted here in DOM-->
+        </svg>
+    </div>
+</template>
+
+<style scoped>
+.chart-container{
+    height: 100%;
+}
+</style>
+
+
+
+
+
+<!-- old version -->
+<template>
+    <div ref="barContainer" class="bar-container">
+      <svg id="bar-svg"></svg>
+    </div>
+  </template>
+  
+  <style scoped>
+  .bar-container {
+    width: 100%;
+    height: 100%;
+  }
+  
+  #bar-svg {
+    width: 100%;
+    height: 100%;
+  }
+  </style>
+  
+  <script lang="ts">
+  import * as d3 from "d3";
+  import Data from "../../data/average_salary.json";
+  import { isEmpty, debounce } from "lodash";
+  import { Bar1, ComponentSize, Margin } from "../types";
+  
+  interface jobTitleBar extends Bar1 {
+    job_title: string;
+  }
+  
+  export default {
+    data() {
+      return {
+        bars: [] as jobTitleBar[],
+        size: { width: 0, height: 0 } as ComponentSize,
+        margin: { left: 60, right: 20, top: 20, bottom: 80 } as Margin,
+        colors: d3.scaleOrdinal(d3.schemeCategory10),
+      };
+    },
+    computed: {
+      rerender() {
+        return !isEmpty(this.bars) && this.size;
+      },
+    },
+    created() {
+      console.log(Data);
+      if (isEmpty(Data)) return;
+      this.bars = Data.data;
+    },
+    methods: {
+      onResize() {
+        let target = this.$refs.barContainer as HTMLElement;
+        if (target === undefined) return;
+        this.size = { width: target.clientWidth, height: target.clientHeight };
+      },
+      initChart() {
+        let chartContainer = d3.select("#bar-svg");
+        let yExtents = d3.extent(
+          this.bars.map((d: jobTitleBar) => d.job_title_average_salary as number)
+        ) as [number, number];
+  
+        let xCategories: string[] = [
+          ...new Set(this.bars.map((d: jobTitleBar) => d.job_title as string)),
+        ];
+  
+        let xScale = d3
+          .scaleBand()
+          .rangeRound([this.margin.left, this.size.width - this.margin.right])
+          .domain(xCategories)
+          .padding(0.2);
+  
+        let yScale = d3
+          .scaleLinear()
+          .range([this.size.height - this.margin.bottom, this.margin.top])
+          .domain([0, yExtents[1]]);
+  
+        const xAxis = chartContainer
+          .append("g")
+          .attr("transform", `translate(0, ${this.size.height - this.margin.bottom})`)
+          .call(d3.axisBottom(xScale))
+          .selectAll("text")
+          .style("text-anchor", "end")
+          .attr("dy", "0.2em")
+          .attr("transform", "rotate(-90)");
+  
+        const yAxis = chartContainer
+          .append("g")
+          .attr("transform", `translate(${this.margin.left}, 0)`)
+          .call(d3.axisLeft(yScale));
+  
+        const yLabel = chartContainer
+          .append("g")
+          .attr("transform", `translate(${10}, ${this.size.height / 2}) rotate(-90)`)
+          .append("text")
+          .text("Average Salary")
+          .style("font-size", ".8rem");
+  
+        const xLabel = chartContainer
+          .append("g")
+          .attr(
+            "transform",
+            `translate(${this.size.width / 2 - this.margin.left}, ${
+              this.size.height - this.margin.top - 5
+            })`
+          )
+          .append("text")
+          .text("Job Title")
+          .style("font-size", ".8rem");
+  
+        const bars = chartContainer
+          .append("g")
+          .selectAll("rect")
+          .data<jobTitleBar>(this.bars)
+          .enter()
+          .append("rect")
+          .attr("x", (d: jobTitleBar) => xScale(d.job_title) as number)
+          .attr("y", (d: jobTitleBar) => yScale(d.job_title_average_salary) as number)
+          .attr("width", xScale.bandwidth())
+          .attr("height", (d: jobTitleBar) =>
+            Math.abs(yScale(0) - yScale(d.job_title_average_salary))
+          )
+          .attr("fill", (d: jobTitleBar, i: number) => this.colors(i));
+  
+        const title = chartContainer
+          .append("g")
+          .append("text")
+          .attr(
+            "transform",
+            `translate(${this.size.width / 2}, ${
+              this.size.height - this.margin.top + 5
+            })`
+          )
+          .attr("dy", "0.5em")
+          .style("text-anchor", "middle")
+          .style("font-weight", "bold")
+          .text("Bar Chart about Average Salary");
+      },
+    },
+    watch: {
+      rerender(newSize) {
+        if (!isEmpty(newSize)) {
+          d3.select("#bar-svg").selectAll("*").remove();
+          this.initChart();
+        }
+      },
+    },
+    mounted() {
+      window.addEventListener("resize", debounce(this.onResize, 100));
+      this.onResize();
+    },
+    beforeDestroy() {
+      window.removeEventListener("resize", this.onResize);
+    },
+  };
+  </script>
+  
\ No newline at end of file
diff --git a/Homework2/Vue-Template/src/types.ts b/Homework2/Vue-Template/src/types.ts
index ba503fc..294130a 100644
--- a/Homework2/Vue-Template/src/types.ts
+++ b/Homework2/Vue-Template/src/types.ts
@@ -18,4 +18,16 @@ export interface Point {
 
 export interface Bar{
     readonly value: number;
+}
+
+export interface Bar1{
+    readonly job_title_average_salary: number;
+}
+
+export interface ParallelCoordinates {
+    readonly job_title_count: number
+}
+
+export interface Line {
+    readonly job_title_average_remote_ratio: number;
 }
\ No newline at end of file
diff --git a/Homework2/package-lock.json b/Homework2/package-lock.json
new file mode 100644
index 0000000..1a37daa
--- /dev/null
+++ b/Homework2/package-lock.json
@@ -0,0 +1,17 @@
+{
+  "name": "Homework2",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "dependencies": {
+        "materialize-css": "^1.0.0-rc.2"
+      }
+    },
+    "node_modules/materialize-css": {
+      "version": "1.0.0-rc.2",
+      "resolved": "https://registry.npmjs.org/materialize-css/-/materialize-css-1.0.0-rc.2.tgz",
+      "integrity": "sha512-FuQmSyq4Qv0ov7A2qXw0E6/jbQzSWx2P1pg2/XQDYTkkSc/GyiFAxu3fw9zgShwuTvyumEiw5jkxQWT9siqMBQ=="
+    }
+  }
+}
diff --git a/Homework2/package.json b/Homework2/package.json
new file mode 100644
index 0000000..1b7c08e
--- /dev/null
+++ b/Homework2/package.json
@@ -0,0 +1,5 @@
+{
+  "dependencies": {
+    "materialize-css": "^1.0.0-rc.2"
+  }
+}
diff --git a/Homework2/suchao/VanillaJS-Template/app.js b/Homework2/suchao/VanillaJS-Template/app.js
new file mode 100644
index 0000000..3448ba7
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/app.js
@@ -0,0 +1,30 @@
+import { mountBarChart, BarChart } from './src/barChart';
+import { mountLineChart, LineChart } from './src/linechart';
+import { ParallelCoordinatesPlot, mountParallelCoordinatesPlot } from './src/parallelCoordiantesChart';
+import './style.css';
+
+document.querySelector('#app').innerHTML = `
+  <div id='main-container' class='d-flex'>
+    <div class='left-panel'>
+      <div class='top-half'>
+        <div class='middle-center'>
+          ${BarChart()}
+        </div>
+      </div>
+      <div class='bottom-half'>
+        <div class='middle-center'>
+          ${LineChart()}
+        </div>
+      </div>
+    </div>
+    <div class='right-panel'>
+      <div class='middle-center'>
+        ${ParallelCoordinatesPlot()}
+      </div>
+    </div>
+  </div>
+`;
+
+mountBarChart();
+mountLineChart();
+mountParallelCoordinatesPlot();
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/data/Data_Engineer_average_salary.json b/Homework2/suchao/VanillaJS-Template/data/Data_Engineer_average_salary.json
new file mode 100644
index 0000000..d3c6809
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/Data_Engineer_average_salary.json
@@ -0,0 +1,20 @@
+{
+  "data":[
+    {
+      "experience_level": "EN",
+      "average_salary": 78546
+    },
+    {
+      "experience_level": "MI",
+      "average_salary": 104526
+    },
+    {
+      "experience_level": "SE",
+      "average_salary": 153051
+    },
+    {
+      "experience_level": "EX",
+      "average_salary": 194931
+    }
+  ]
+}
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/data/PCC.json b/Homework2/suchao/VanillaJS-Template/data/PCC.json
new file mode 100644
index 0000000..a0e34f3
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/PCC.json
@@ -0,0 +1,22532 @@
+[
+ {
+   "work_year": 2023,
+   "job_title": "Principal Data Scientist",
+   "salary_in_usd": 85847,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "ML Engineer",
+   "salary_in_usd": 30000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "ML Engineer",
+   "salary_in_usd": 25500,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 175000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 120000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Applied Scientist",
+   "salary_in_usd": 222200,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Applied Scientist",
+   "salary_in_usd": 136000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 219000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 141000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 147100,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 90700,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 130000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 100000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Applied Scientist",
+   "salary_in_usd": 213660,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Applied Scientist",
+   "salary_in_usd": 130760,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Modeler",
+   "salary_in_usd": 147100,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Modeler",
+   "salary_in_usd": 90700,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 170000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Scientist",
+   "salary_in_usd": 150000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 150000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 110000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Research Engineer",
+   "salary_in_usd": 275000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Research Engineer",
+   "salary_in_usd": 174000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Analytics Engineer",
+   "salary_in_usd": 230000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Analytics Engineer",
+   "salary_in_usd": 143200,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Business Intelligence Engineer",
+   "salary_in_usd": 225000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Business Intelligence Engineer",
+   "salary_in_usd": 156400,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Machine Learning Engineer",
+   "salary_in_usd": 200000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Machine Learning Engineer",
+   "salary_in_usd": 130000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Strategist",
+   "salary_in_usd": 90000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Strategist",
+   "salary_in_usd": 72000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Engineer",
+   "salary_in_usd": 253200,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Engineer",
+   "salary_in_usd": 90700,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Computer Vision Engineer",
+   "salary_in_usd": 342810,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Computer Vision Engineer",
+   "salary_in_usd": 184590,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Engineer",
+   "salary_in_usd": 162500,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Engineer",
+   "salary_in_usd": 130000,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 105380,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Analyst",
+   "salary_in_usd": 64500,
+   "remote_ratio": 0
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Data Quality Analyst",
+   "salary_in_usd": 100000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2023,
+   "job_title": "Compliance Data Analyst",
+   "salary_in_usd": 30000,
+   "remote_ratio": 100
+ },
+ {
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+ },
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+ },
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+ },
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+ {
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+ },
+ {
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+ },
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+ },
+ {
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+   "remote_ratio": 50
+ },
+ {
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+   "job_title": "Data Engineer",
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+   "remote_ratio": 50
+ },
+ {
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+ },
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+   "remote_ratio": 100
+ },
+ {
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+   "job_title": "Principal Data Scientist",
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+   "remote_ratio": 100
+ },
+ {
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+   "job_title": "Data Scientist",
+   "salary_in_usd": 105000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2020,
+   "job_title": "Business Data Analyst",
+   "salary_in_usd": 100000,
+   "remote_ratio": 100
+ },
+ {
+   "work_year": 2021,
+   "job_title": "Data Science Manager",
+   "salary_in_usd": 94665,
+   "remote_ratio": 50
+ }
+]
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/data/average_remote_ratio.json b/Homework2/suchao/VanillaJS-Template/data/average_remote_ratio.json
new file mode 100644
index 0000000..da58e7d
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/average_remote_ratio.json
@@ -0,0 +1,328 @@
+{
+  "data":[
+    {
+      "job_title": "PDS",
+      "job_title_average_remote_ratio": 88
+    },
+    {
+      "job_title": "MLE",
+      "job_title_average_remote_ratio": 68
+    },
+    {
+      "job_title": "DS",
+      "job_title_average_remote_ratio": 48
+    },
+    {
+      "job_title": "AS",
+      "job_title_average_remote_ratio": 45
+    },
+    {
+      "job_title": "DA",
+      "job_title_average_remote_ratio": 46
+    },
+    {
+      "job_title": "DM",
+      "job_title_average_remote_ratio": 0
+    },
+    {
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+      "job_title_average_remote_ratio": 19
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+    {
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+      "job_title_average_remote_ratio": 54
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+    {
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+      "job_title_average_remote_ratio": 41
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+    {
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+      "job_title_average_remote_ratio": 0
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+    {
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+      "job_title_average_remote_ratio": 42
+    },
+    {
+      "job_title": "CVE",
+      "job_title_average_remote_ratio": 36
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+    {
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+      "job_title_average_remote_ratio": 14
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+    {
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+      "job_title_average_remote_ratio": 100
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+    {
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+    {
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+    {
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+    {
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+    },
+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+    {
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+      "job_title_average_remote_ratio": 25
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+    {
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+    {
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+      "job_title_average_remote_ratio": 61
+    },
+    {
+      "job_title": "CDE",
+      "job_title_average_remote_ratio": 100
+    },
+    {
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+    {
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+    {
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+    },
+    {
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+      "job_title_average_remote_ratio": 50
+    },
+    {
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+      "job_title_average_remote_ratio": 80
+    },
+    {
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+      "job_title_average_remote_ratio": 69
+    },
+    {
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+      "job_title_average_remote_ratio": 19
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+    {
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+      "job_title_average_remote_ratio": 0
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+    {
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+    {
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+    {
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+    },
+    {
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+      "job_title_average_remote_ratio": 73
+    },
+    {
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+    {
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+    {
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+    },
+    {
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+    },
+    {
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+    {
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+    {
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+    {
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+    },
+    {
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+    },
+    {
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+    {
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+    {
+      "job_title": "3DCVR",
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+    {
+      "job_title": "PMLSE",
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+    {
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+      "job_title_average_remote_ratio": 100
+    },
+    {
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+    {
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+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "DSL",
+      "job_title_average_remote_ratio": 75
+    },
+    {
+      "job_title": "CDE",
+      "job_title_average_remote_ratio": 83
+    },
+    {
+      "job_title": "DOA",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "MDA",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "PBID",
+      "job_title_average_remote_ratio": 50
+    },
+    {
+      "job_title": "PDS",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "MDM",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "SDS",
+      "job_title_average_remote_ratio": 100
+    },
+    {
+      "job_title": "FDA",
+      "job_title_average_remote_ratio": 50
+    }
+  ]
+}
diff --git a/Homework2/suchao/VanillaJS-Template/data/average_salary.json b/Homework2/suchao/VanillaJS-Template/data/average_salary.json
new file mode 100644
index 0000000..f736574
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/average_salary.json
@@ -0,0 +1,193 @@
+{
+    "data": [
+      {
+        "job_title": "DSTL",
+        "job_title_average_salary": 375000
+      },
+      {
+        "job_title": "DAL",
+        "job_title_average_salary": 212500
+      },
+      {
+        "job_title": "DL",
+        "job_title_average_salary": 212500
+      },
+      {
+        "job_title": "DAL",
+        "job_title_average_salary": 211255
+      },
+      {
+        "job_title": "PDS",
+        "job_title_average_salary": 198171
+      },
+      {
+        "job_title": "DSM",
+        "job_title_average_salary": 191279
+      },
+      {
+        "job_title": "AS",
+        "job_title_average_salary": 190264
+      },
+      {
+        "job_title": "PMLE",
+        "job_title_average_salary": 190000
+      },
+      {
+        "job_title": "PDE",
+        "job_title_average_salary": 192500
+      },
+      {
+        "job_title": "MLSE",
+        "job_title_average_salary": 192420
+      },
+      {
+        "job_title": "DDS",
+        "job_title_average_salary": 195141
+      },
+      {
+        "job_title": "HD",
+        "job_title_average_salary": 183858
+      },
+      {
+        "job_title": "BIE",
+        "job_title_average_salary": 175052
+      },
+      {
+        "job_title": "BIE",
+        "job_title_average_salary": 174150
+      },
+      {
+        "job_title": "DE",
+        "job_title_average_salary": 142786
+      },
+      {
+        "job_title": "RE",
+        "job_title_average_salary": 163108
+      },
+      {
+        "job_title": "MLS",
+        "job_title_average_salary": 163220
+      },
+      {
+        "job_title": "MLE",
+        "job_title_average_salary": 158352
+      },
+      {
+        "job_title": "DSL",
+        "job_title_average_salary": 156334
+      },
+      {
+        "job_title": "CDA",
+        "job_title_average_salary": 250000
+      },
+      {
+        "job_title": "CDE",
+        "job_title_average_salary": 155000
+      },
+      {
+        "job_title": "ADE",
+        "job_title_average_salary": 100000
+      },
+      {
+        "job_title": "DIE",
+        "job_title_average_salary": 175052
+      },
+      {
+        "job_title": "MLR",
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+      },
+      {
+        "job_title": "DSE",
+        "job_title_average_salary": 93482
+      },
+      {
+        "job_title": "MLIE",
+        "job_title_average_salary": 143012
+      },
+      {
+        "job_title": "DSM",
+        "job_title_average_salary": 191279
+      },
+      {
+        "job_title": "RS",
+        "job_title_average_salary": 161214
+      },
+      {
+        "job_title": "DAM",
+        "job_title_average_salary": 141879
+      },
+      {
+        "job_title": "BDE",
+        "job_title_average_salary": 68672
+      },
+      {
+        "job_title": "DS",
+        "job_title_average_salary": 140870
+      },
+      {
+        "job_title": "DS",
+        "job_title_average_salary": 140870
+      },
+      {
+        "job_title": "PDA",
+        "job_title_average_salary": 122500
+      },
+      {
+        "job_title": "BDA",
+        "job_title_average_salary": 125803
+      },
+      {
+        "job_title": "DLR",
+        "job_title_average_salary": 123405
+      },
+      {
+        "job_title": "ADE",
+        "job_title_average_salary": 100000
+      },
+      {
+        "job_title": "LDE",
+        "job_title_average_salary": 139230
+      },
+      {
+        "job_title": "DLE",
+        "job_title_average_salary": 109241
+      },
+      {
+        "job_title": "SDS",
+        "job_title_average_salary": 105000
+      },
+      {
+        "job_title": "FDA",
+        "job_title_average_salary": 101667
+      },
+      {
+        "job_title": "LDS",
+        "job_title_average_salary": 112776
+      },
+      {
+        "job_title": "AIS",
+        "job_title_average_salary": 110121
+      },
+      {
+        "job_title": "AVT",
+        "job_title_average_salary": 26278
+      },
+      {
+        "job_title": "AMLS",
+        "job_title_average_salary": 109453
+      },
+      {
+        "job_title": "BDA",
+        "job_title_average_salary": 60440
+      },
+      {
+        "job_title": "HDS",
+        "job_title_average_salary": 160592
+      },
+      {
+        "job_title": "IA",
+        "job_title_average_salary": 46786
+      }
+    ]
+  }
+  
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/data/ds_salaries.json b/Homework2/suchao/VanillaJS-Template/data/ds_salaries.json
new file mode 100644
index 0000000..444c92b
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/ds_salaries.json
@@ -0,0 +1,48817 @@
+[
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Principal Data Scientist",
+   "salary": 80000,
+   "salary_currency": "EUR",
+   "salary_in_usd": 85847,
+   "employee_residence": "ES",
+   "remote_ratio": 100,
+   "company_location": "ES",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "MI",
+   "employment_type": "CT",
+   "job_title": "ML Engineer",
+   "salary": 30000,
+   "salary_currency": "USD",
+   "salary_in_usd": 30000,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "S"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "MI",
+   "employment_type": "CT",
+   "job_title": "ML Engineer",
+   "salary": 25500,
+   "salary_currency": "USD",
+   "salary_in_usd": 25500,
+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "S"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Scientist",
+   "salary": 175000,
+   "salary_currency": "USD",
+   "salary_in_usd": 175000,
+   "employee_residence": "CA",
+   "remote_ratio": 100,
+   "company_location": "CA",
+   "company_size": "M"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Scientist",
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+   "salary_currency": "USD",
+   "salary_in_usd": 120000,
+   "employee_residence": "CA",
+   "remote_ratio": 100,
+   "company_location": "CA",
+   "company_size": "M"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Applied Scientist",
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+   "salary_currency": "USD",
+   "salary_in_usd": 222200,
+   "employee_residence": "US",
+   "remote_ratio": 0,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Applied Scientist",
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+   "salary_currency": "USD",
+   "salary_in_usd": 136000,
+   "employee_residence": "US",
+   "remote_ratio": 0,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
+   "work_year": 2023,
+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Scientist",
+   "salary": 219000,
+   "salary_currency": "USD",
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+ },
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+   "experience_level": "EN",
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+   "salary_currency": "USD",
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+   "employee_residence": "US",
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+   "company_location": "US",
+   "company_size": "S"
+ },
+ {
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+   "experience_level": "EN",
+   "employment_type": "CT",
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+   "salary_currency": "USD",
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+   "employee_residence": "US",
+   "remote_ratio": 100,
+   "company_location": "US",
+   "company_size": "L"
+ },
+ {
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+   "experience_level": "SE",
+   "employment_type": "FT",
+   "job_title": "Data Science Manager",
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+   "salary_currency": "INR",
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+   "employee_residence": "IN",
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+   "company_location": "IN",
+   "company_size": "L"
+ }
+]
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/data/job_title_count.json b/Homework2/suchao/VanillaJS-Template/data/job_title_count.json
new file mode 100644
index 0000000..08f31ef
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/data/job_title_count.json
@@ -0,0 +1,376 @@
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+}
\ No newline at end of file
diff --git a/Homework2/suchao/VanillaJS-Template/index.html b/Homework2/suchao/VanillaJS-Template/index.html
new file mode 100644
index 0000000..9e07638
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/index.html
@@ -0,0 +1,14 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/css/materialize.min.css">
+    <title>ECS272 Information Visualization</title>
+  </head>
+  <body>
+    <div id="app"></div>
+    <script type="module" src="/app.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/js/materialize.min.js"></script>
+  </body>
+</html>
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new file mode 100644
index 0000000..4a692fd
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/package-lock.json
@@ -0,0 +1,1145 @@
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diff --git a/Homework2/suchao/VanillaJS-Template/package.json b/Homework2/suchao/VanillaJS-Template/package.json
new file mode 100644
index 0000000..25af284
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/package.json
@@ -0,0 +1,21 @@
+{
+  "name": "vanillajs",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "devDependencies": {
+    "axios": "^1.2.1",
+    "d3": "^7.8.0",
+    "lodash": "^4.17.21",
+    "vite": "^4.3.9"
+  },
+  "dependencies": {
+    "materialize": "^1.0.0",
+    "react": "^18.2.0"
+  }
+}
diff --git a/Homework2/suchao/VanillaJS-Template/src/barChart.js b/Homework2/suchao/VanillaJS-Template/src/barChart.js
new file mode 100644
index 0000000..810776c
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/src/barChart.js
@@ -0,0 +1,95 @@
+import * as d3 from 'd3';  // Import the d3 library for data visualization.
+import Data from '../data/average_remote_ratio.json';  // Import data from a JSON file.
+import axios from 'axios';  // Import the axios library for making HTTP requests.
+import { isEmpty, debounce } from 'lodash';  // Import utility functions from lodash.
+
+const margin = { left: 35, right: 20, top: 30, bottom: 75 };  // Define margin for the chart.
+var size = { width: 0, height: 0 };  // Initialize the size object for the chart.
+var bars = Data.data;  // Store the data from the imported JSON file in the 'bars' variable.
+
+const onResize = (targets) => {  // Define a function to handle resizing of the chart.
+    targets.forEach(target => {
+        if (target.target.getAttribute('id') !== 'bar-container') return;
+        size = { width: target.contentRect.width, height: target.contentRect.height };
+        if (!isEmpty(size) && !isEmpty(bars)) {
+            d3.select('#bar-svg').selectAll('*').remove();  // Remove existing chart elements.
+            initChart();  // Reinitialize the chart.
+        }
+    });
+};
+
+const chartObserver = new ResizeObserver(debounce(onResize, 100));  // Create a ResizeObserver to monitor the chart's container element.
+
+export const BarChart = () => (  // Define a React component for the bar chart.
+    `<div class='chart-container d-flex' id='bar-container'>
+        <svg id='bar-svg' width='100%' height='100%'>
+        </svg>
+    </div>`
+);
+
+export function mountBarChart() {  // Define a function to mount the bar chart.
+    let barContainer = document.querySelector('#bar-container');
+    chartObserver.observe(barContainer);  // Start observing the chart's container for resizing.
+}
+
+function initChart() {  // Define a function to initialize the chart.
+    let chartContainer = d3.select('#bar-svg');  // Select the SVG element to draw the chart inside.
+
+    let yExtents = d3.extent(bars.map((d) => d.job_title_average_remote_ratio));  // Calculate the y-axis extent.
+    let xCategories = [...new Set(bars.map((d) => d.job_title))];  // Extract unique job titles.
+
+    let colorScale = d3.scaleOrdinal()  // Create a color scale for different job titles.
+        .domain(xCategories)
+        .range(d3.schemeCategory10);
+
+    let xScale = d3.scaleBand()  // Create an x-axis scale for the job titles.
+        .range([margin.left, size.width - margin.right])
+        .domain(xCategories)
+        .padding(0.1);
+
+    let yScale = d3.scaleLinear()  // Create a linear y-axis scale for average salaries.
+        .range([size.height - margin.bottom, margin.top])
+        .domain([0, yExtents[1]]);
+
+    const xAxis = chartContainer.append('g')  // Create the x-axis and style it.
+        .attr('transform', `translate(0, ${size.height - margin.bottom})`)
+        .call(d3.axisBottom(xScale))
+        .selectAll('text')
+        .style('text-anchor', 'end')
+        .attr('transform', 'rotate(-45) translate(-10, -10)')
+        .attr('font-size', '.5rem');
+
+    const yAxis = chartContainer.append('g')  // Create the y-axis and style it.
+        .attr('transform', `translate(${margin.left}, 0)`)
+        .call(d3.axisLeft(yScale));
+
+    const yLabel = chartContainer.append('g')  // Create a label for the y-axis.
+        .attr('transform', `translate(${10}, ${size.height / 2}) rotate(-90)`)
+        .append('text')
+        .text('Average Remote Ratio')
+        .style('font-size', '.8rem');
+
+    const xLabel = chartContainer.append('g')  // Create a label for the x-axis.
+        .attr('transform', `translate(${size.width / 2 - margin.left}, ${size.height - margin.top - 5})`)
+        .append('text')
+        .text('Job Title')
+        .style('font-size', '.8rem');
+
+    const barEles = chartContainer.append('g')  // Create and style the bar chart elements.
+        .selectAll('rect')
+        .data(bars)
+        .join('rect')
+        .attr('x', (d) => xScale(d.job_title))
+        .attr('y', (d) => yScale(d.job_title_average_remote_ratio))
+        .attr('width', xScale.bandwidth())
+        .attr('height', (d) => Math.abs(yScale(0) - yScale(d.job_title_average_remote_ratio)))
+        .attr('fill', (d) => colorScale(d.job_title));
+
+    const title = chartContainer.append('g')  // Add a title to the chart.
+        .append('text')
+        .attr('transform', `translate(${size.width / 2}, ${margin.top - 15})`)
+        .attr('dy', '0.5rem')
+        .style('text-anchor', 'middle')
+        .style('font-size', '.9rem')
+        .text('Overview of 71 average remote ratio by occupation');
+}
diff --git a/Homework2/suchao/VanillaJS-Template/src/lineChart.js b/Homework2/suchao/VanillaJS-Template/src/lineChart.js
new file mode 100644
index 0000000..11dbcde
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/src/lineChart.js
@@ -0,0 +1,123 @@
+import * as d3 from 'd3';  // Import the d3 library for data visualization.
+import Data from '../data/Data_Engineer_average_salary.json';  // Import the JSON data file.
+import axios from 'axios';  // Import the axios library for making HTTP requests.
+import { isEmpty, debounce } from 'lodash';  // Import specific functions from lodash.
+
+// Define margins for the chart.
+const margin = { left: 60, right: 20, top: 30, bottom: 80 }; // Increased bottom margin for x-axis labels
+
+// Initialize size and data variables.
+var size = { width: 0, height: 0 };
+var data = Data.data;
+
+// Define a function to handle resizing of the chart.
+const onResize = (targets) => {
+    targets.forEach((target) => {
+        // Check if the target element has the id 'line-container'.
+        if (target.target.getAttribute('id') !== 'line-container') return;
+        // Update the size variable with the new dimensions of the target element.
+        size = { width: target.contentRect.width, height: target.contentRect.height };
+        // Check if both size and data are not empty, then reinitialize the chart.
+        if (!isEmpty(size) && !isEmpty(data)) {
+            initChart();  // Call the function to initialize the chart.
+        }
+    });
+};
+
+// Create a ResizeObserver that calls the onResize function with a debounce of 100 milliseconds.
+const chartObserver = new ResizeObserver(debounce(onResize, 100));
+
+// Define the LineChart component.
+export const LineChart = () => (
+    `<div class='chart-container d-flex' id='line-container'>
+        <svg id='line-svg' width='100%' height='100%'>
+            <g id="line-chart"></g>
+        </svg>
+    </div>`
+);
+
+// Define a function to mount the LineChart component.
+export function mountLineChart() {
+
+    let lineContainer = document.querySelector('#line-container');
+    chartObserver.observe(lineContainer);  // Observe the LineChart component for resizing.
+}
+
+// Define a function to initialize the chart.
+function initChart() {
+    let chartContainer = d3.select('#line-chart');  // Select the chart container.
+
+    // Extract experience levels and average salaries from the data.
+    let experienceLevels = data.map((d) => d.experience_level);
+    let averageSalaries = data.map((d) => d.average_salary);
+
+    // Create an xScale for the experience levels using the scaleBand function.
+    let xScale = d3
+        .scaleBand()
+        .domain(experienceLevels)
+        .range([margin.left, size.width - margin.right])
+        .padding(1);
+
+    // Create a yScale for the average salaries using the scaleLinear function.
+    let yScale = d3
+        .scaleLinear()
+        .domain([0, d3.max(averageSalaries)])
+        .nice()
+        .range([size.height - margin.bottom, margin.top]);
+
+    // Create a line generator function.
+    let line = d3
+        .line()
+        .x((d) => xScale(d.experience_level))
+        .y((d) => yScale(d.average_salary));
+
+    // Append a path element for the line chart.
+    chartContainer
+        .append('path')
+        .datum(data)
+        .attr('class', 'line')
+        .attr('d', line)
+        .attr('fill', 'none')
+        .attr('stroke', 'steelblue');
+
+    // Append a group element for the x-axis and call the axisBottom function.
+    chartContainer
+        .append('g')
+        .attr('class', 'x-axis')
+        .attr('transform', `translate(0, ${size.height - margin.bottom})`)
+        .call(d3.axisBottom(xScale));
+
+    // Append a group element for the y-axis and call the axisLeft function.
+    chartContainer
+        .append('g')
+        .attr('class', 'y-axis')
+        .attr('transform', `translate(${margin.left}, 0)`)
+        .call(d3.axisLeft(yScale));
+
+    // Append a label for the x-axis.
+    chartContainer
+        .append('text')
+        .attr('class', 'x-label')
+        .attr('transform', `translate(${size.width / 2}, ${margin.bottom + 240})`)
+        .attr('dy', '2.5em')
+        .style('text-anchor', 'middle')
+        .text('Experience Level')
+        .style('font-size', '.9rem');
+
+    // Append a label for the y-axis.
+    chartContainer
+        .append('text')
+        .attr('class', 'y-label')
+        .attr('transform', `translate(${10}, ${size.height / 2}) rotate(-90)`)
+        .text('Average Salary')
+        .style('font-size', '.9rem');
+
+    // Append a title for the chart.
+    chartContainer
+        .append('text')
+        .attr('class', 'chart-title')
+        .attr('transform', `translate(${size.width / 2}, ${margin.top})`)
+        .style('text-anchor', 'middle')
+        .style('font-size', '.9rem')
+        .text('Average Salaries for Data Engineers at Different Experience Levels');
+}
diff --git a/Homework2/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js b/Homework2/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js
new file mode 100644
index 0000000..66193f8
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js
@@ -0,0 +1,136 @@
+import * as d3 from 'd3';
+import Data from '../data/PCC.json';
+import { debounce, isEmpty } from 'lodash';
+
+const margin = { left: 20, right: 20, top: 20, bottom: 80 };
+let size = { width: 0, height: 0 };
+const data = Data;
+
+const colorScale = d3.scaleOrdinal(d3.schemeCategory10); // Define a color scale
+
+const onResize = (entries) => {
+  entries.forEach((entry) => {
+    if (entry.target.getAttribute('id') !== 'parallel-coordinates-container') return;
+    size = { width: entry.contentRect.width, height: entry.contentRect.height };
+    if (!isEmpty(size) && !isEmpty(data)) {
+      d3.select('#parallel-coordinates-svg').selectAll('*').remove();  // Remove existing chart elements.
+      initParallelCoordinates();
+    }
+  });
+};
+
+const chartObserver = new ResizeObserver(debounce(onResize, 100));
+
+export const ParallelCoordinatesPlot = () => (
+  `<div class='PCchart-container d-flex' id='parallel-coordinates-container'>
+    <svg id='parallel-coordinates-svg' width='100%' height='100%'>
+    </svg>
+  </div>`
+);
+
+export function mountParallelCoordinatesPlot() {
+  const container = document.querySelector('#parallel-coordinates-container');
+  chartObserver.observe(container);
+}
+
+function initParallelCoordinates() {
+  const chartContainer = d3.select('#parallel-coordinates-svg');
+
+  var margin = { top: 30, right: 0, bottom: 10, left: 0 },
+    width = 750 - margin.left - margin.right,
+    height = 700 - margin.top - margin.bottom;
+
+  // append the svg object to the body of the page
+  chartContainer
+    .attr("width", width + margin.left + margin.right)
+    .attr("height", height + margin.top + margin.bottom)
+    .append("g")
+    .attr("transform",
+      "translate(" + margin.left + "," + margin.top + ")");
+    
+
+  // Extract the list of dimensions we want to keep in the plot. Here I keep all except the column called Species
+  const dimensions = ['remote_ratio', 'salary_in_usd', "work_year"];
+
+  // For each dimension, I build a linear scale. I store all in a y object
+  var y = {}
+  for (const i in dimensions) {
+    const name = dimensions[i]
+    y[name] = d3.scaleLinear()
+      .domain(d3.extent(data, function (d) { return +d[name]; }))
+      .range([height, 0])
+  }
+
+  // Build the X scale -> it finds the best position for each Y axis
+  const x = d3.scalePoint()
+    .range([0, width])
+    .padding(1)
+    .domain(dimensions);
+
+  // The path function takes a row of the csv as input and returns x and y coordinates of the line to draw for this row.
+  function path(d) {
+    return d3.line()(dimensions.map(function (p) { return [x(p), y[p](d[p])]; }));
+  }
+
+  // Draw the lines
+  chartContainer
+    .selectAll("myPath")
+    .data(data)
+    .enter().append("path")
+    .attr("d", path)
+    .style("fill", "none")
+    .style("stroke", (d, i) => colorScale(i)) // Assign colors based on data index
+    .style("opacity", 0.5);
+
+  // Draw the axis:
+  chartContainer.selectAll("myAxis")
+    // For each dimension of the dataset, I add a 'g' element:
+    .data(dimensions).enter()
+    .append("g")
+    // I translate this element to its right position on the x-axis
+    .attr("transform", function (d) { return "translate(" + x(d) + ")"; })
+    // And I build the axis with the call function
+    .each(function (d) { d3.select(this).call(d3.axisLeft().scale(y[d])); })
+    // Add axis title
+    .append("text")
+    .style("text-anchor", "middle")
+    .attr("y", -9)
+    .text(function (d) { return d; })
+    .style("fill", "black");
+
+  const title = chartContainer.append('g')  // Add a title to the chart.
+    .append('text')
+    .attr('transform', `translate(${size.width / 2}, ${margin.top - 25})`)
+    .attr('dy', '0.5rem')
+    .style('text-anchor', 'middle')
+    .style('font-size', '.9rem')
+    .text('Overview of the top 5 popular job titles in terms of remote_ratio, salary, and years');
+
+      // Draw the axis and labels
+  dimensions.forEach((dimension, i) => {
+    chartContainer.append("g")
+      .attr("class", "axis")
+      .attr("transform", `translate(${x(dimension)}, 0)`)
+      // .call(d3.axisLeft().scale(y[dimension]))
+      .append("text")
+      .style("text-anchor", "middle")
+      .attr("y", -15)
+      .text(dimension)
+      .style("fill", "black");
+  });
+
+  // Add labels for y-axis
+  dimensions.forEach((dimension) => {
+    chartContainer.append("g")
+    .attr('transform', `translate(${10}, ${size.height / 2}) rotate(-90)`)
+    .attr("class", "axis")
+    .append("text")
+    .style("text-anchor", "middle")
+    .attr("x", -15)
+    .attr("y", height / 2)
+    .text(dimension)
+    // .padding(0.1)
+    .style("fill", "black");
+  });
+
+}
diff --git a/Homework2/suchao/VanillaJS-Template/style.css b/Homework2/suchao/VanillaJS-Template/style.css
new file mode 100644
index 0000000..e1b3d0f
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/style.css
@@ -0,0 +1,97 @@
+/* Define global styles for the entire document */
+:root {
+  font-family: Inter, Avenir, Helvetica, Arial, sans-serif; /* Set the default font family */
+  font-size: 1rem; /* Set the default font size */
+
+  /* Font rendering and smoothing properties */
+  font-synthesis: none; /* Disable font synthesis */
+  text-rendering: optimizeLegibility; /* Optimize text rendering for legibility */
+  -webkit-font-smoothing: antialiased; /* Enable anti-aliased text rendering on WebKit browsers */
+  -moz-osx-font-smoothing: grayscale; /* Enable grayscale text rendering on macOS */
+  -webkit-text-size-adjust: 100%; /* Adjust text size for mobile devices */
+}
+
+/* Apply styles to the entire body of the HTML document */
+body {
+  margin: 0; /* Remove default margin */
+  height: 100vh; /* Set the body height to fill the viewport (100% of the viewport height) */
+}
+
+/* Apply styles to the element with the id "app" */
+#app {
+  height: 100%; /* Make sure #app takes up the entire viewport height */
+  width: 100%; /* Make sure #app takes up the entire viewport width */
+}
+
+/* Apply styles to elements with class "column" */
+.column {
+  padding: 10px; /* Add padding to all sides of the element */
+  flex: 1; /* Each column should take equal space within its container */
+  display: flex; /* Use a flexbox layout for the container */
+  flex-direction: column; /* Arrange child elements in a vertical column */
+  overflow: auto; /* Allow content to scroll if it overflows the container */
+}
+
+/* Apply styles to elements with class "d-flex" */
+.d-flex {
+  display: flex; /* Use a flexbox layout for elements with this class */
+}
+
+/* Apply styles to elements with class "flex-column" */
+.flex-column {
+  flex-direction: column; /* Arrange child elements in a vertical column */
+}
+
+.chart-container{
+  height: 50vh;
+  width: 100%;
+}
+
+.PCchart-container{
+  height: 80vh;
+  width: 100%;
+}
+
+/* Apply styles to elements with class "flex-nowrap" */
+.flex-nowrap {
+  flex-wrap: nowrap; /* Prevent child elements from wrapping to the next line */
+}
+
+/* Apply styles to the element with the id "main-container" */
+#main-container {
+  height: 100%; /* Make sure #main-container takes up the entire viewport height */
+  display: flex; /* Use a flexbox layout for the container */
+}
+
+/* Apply styles to elements with class "left-panel" */
+.left-panel {
+  display: flex; /* Use a flexbox layout for elements with this class */
+  flex-direction: column; /* Arrange child elements in a vertical column */
+  width: 50%; /* Set the width of the left panel to 50% of the parent container */
+}
+
+/* Apply styles to elements with class "top-half" and "bottom-half" */
+.top-half,
+.bottom-half {
+  flex: 1; /* Each of these sections should take equal space within their container */
+  display: flex; /* Use a flexbox layout for these sections */
+  justify-content: center; /* Center content horizontally within each section */
+  align-items: center; /* Center content vertically within each section */
+}
+
+/* Apply styles to the element with class "middle-center" */
+.middle-center {
+  width: 100%; /* Allow this element to adjust its width automatically */
+}
+
+/* Adjust the width and layout for the right panel */
+.right-panel {
+  width: 50%; /* Set the width of the right panel to 50% of the parent container */
+  display: flex; /* Use a flexbox layout for the right panel */
+  flex-direction: column; /* Stack content vertically within the right panel */
+  justify-content: center; /* Center content horizontally within the right panel */
+  align-items: center; /* Center content vertically within the right panel */
+  background-color: #f0f0f0; /* Set the background color for the right panel */
+  overflow: auto; /* Allow content to scroll if it overflows the right panel */
+  padding: 10px; /* Add padding to all sides of the right panel */
+}
diff --git a/Homework2/suchao/VanillaJS-Template/vite.config.js b/Homework2/suchao/VanillaJS-Template/vite.config.js
new file mode 100644
index 0000000..ce484e2
--- /dev/null
+++ b/Homework2/suchao/VanillaJS-Template/vite.config.js
@@ -0,0 +1,8 @@
+import { defineConfig } from 'vite'
+
+// vite.config.js
+export default defineConfig({
+    server: {
+        port: 3000,
+    },
+})
\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/app.js b/Homework3/suchao/VanillaJS-Template/app.js
new file mode 100644
index 0000000..120a11d
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/app.js
@@ -0,0 +1,28 @@
+import { mountBarChart, BarChart } from './src/barChart';
+import { mountChart, Chart } from './src/pieBarChart';
+import { ParallelCoordinatesPlot, mountParallelCoordinatesPlot } from './src/parallelCoordiantesChart';
+import './style.css';
+
+document.querySelector('#app').innerHTML = `
+  <div id='main-container' class='d-flex'>
+    <div class='left-panel'>
+      <div class='top-half'>
+        <div class='middle-center'>
+          ${BarChart()}
+        </div>
+      </div>
+      <div class='bottom-half'>
+        <div class='middle-center'>
+          ${Chart()}
+        </div>
+      </div>
+    </div>
+    <div class='right-panel'>
+      ${ParallelCoordinatesPlot()}
+    </div>
+  </div>
+`;
+
+mountBarChart();
+mountChart();
+mountParallelCoordinatesPlot();
\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/data/Genre_count.json b/Homework3/suchao/VanillaJS-Template/data/Genre_count.json
new file mode 100644
index 0000000..535fc06
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/data/Genre_count.json
@@ -0,0 +1,66 @@
+{"data":[
+  {
+    "Fav_genre": "Latin",
+    "count_genre": 3
+  },
+  {
+    "Fav_genre": "Rock",
+    "count_genre": 188
+  },
+  {
+    "Fav_genre": "Video game music",
+    "count_genre": 44
+  },
+  {
+    "Fav_genre": "Jazz",
+    "count_genre": 20
+  },
+  {
+    "Fav_genre": "R&B",
+    "count_genre": 35
+  },
+  {
+    "Fav_genre": "K pop",
+    "count_genre": 26
+  },
+  {
+    "Fav_genre": "Country",
+    "count_genre": 25
+  },
+  {
+    "Fav_genre": "EDM",
+    "count_genre": 37
+  },
+  {
+    "Fav_genre": "Hip hop",
+    "count_genre": 35
+  },
+  {
+    "Fav_genre": "Pop",
+    "count_genre": 114
+  },
+  {
+    "Fav_genre": "Rap",
+    "count_genre": 22
+  },
+  {
+    "Fav_genre": "Classical",
+    "count_genre": 53
+  },
+  {
+    "Fav_genre": "Metal",
+    "count_genre": 88
+  },
+  {
+    "Fav_genre": "Folk",
+    "count_genre": 30
+  },
+  {
+    "Fav_genre": "Lofi",
+    "count_genre": 10
+  },
+  {
+    "Fav_genre": "Gospel",
+    "count_genre": 6
+  }
+]}
\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/data/data_overview.json b/Homework3/suchao/VanillaJS-Template/data/data_overview.json
new file mode 100644
index 0000000..86ea2f9
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/data/data_overview.json
@@ -0,0 +1,6626 @@
+[
+ {
+   "Age": 18,
+   "Primary_streaming_service": "Spotify",
+   "Hours_per_day": 3,
+   "While_working": 1,
+   "Instrumentalist": 1,
+   "Fav_genre": "Latin",
+   "Exploratory": 1
+ },
+ {
+   "Age": 63,
+   "Primary_streaming_service": "Pandora",
+   "Hours_per_day": 1.5,
+   "While_working": 1,
+   "Instrumentalist": 0,
+   "Fav_genre": "Rock",
+   "Exploratory": 1
+ },
+ {
+   "Age": 18,
+   "Primary_streaming_service": "Spotify",
+   "Hours_per_day": 4,
+   "While_working": 0,
+   "Instrumentalist": 0,
+   "Fav_genre": "Video game music",
+   "Exploratory": 0
+ },
+ {
+   "Age": 61,
+   "Primary_streaming_service": "YouTube Music",
+   "Hours_per_day": 2.5,
+   "While_working": 1,
+   "Instrumentalist": 0,
+   "Fav_genre": "Jazz",
+   "Exploratory": 1
+ },
+ {
+   "Age": 18,
+   "Primary_streaming_service": "Spotify",
+   "Hours_per_day": 4,
+   "While_working": 1,
+   "Instrumentalist": 0,
+   "Fav_genre": "R&B",
+   "Exploratory": 1
+ },
+ {
+   "Age": 18,
+   "Primary_streaming_service": "Spotify",
+   "Hours_per_day": 5,
+   "While_working": 1,
+   "Instrumentalist": 1,
+   "Fav_genre": "Jazz",
+   "Exploratory": 1
+ },
+ {
+   "Age": 18,
+   "Primary_streaming_service": "YouTube Music",
+   "Hours_per_day": 3,
+   "While_working": 1,
+   "Instrumentalist": 1,
+   "Fav_genre": "Video game music",
+   "Exploratory": 1
+ },
+ {
+   "Age": 21,
+   "Primary_streaming_service": "Spotify",
+   "Hours_per_day": 1,
+   "While_working": 1,
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\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/data/data_with_index.json b/Homework3/suchao/VanillaJS-Template/data/data_with_index.json
new file mode 100644
index 0000000..d661cac
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/data/data_with_index.json
@@ -0,0 +1,7362 @@
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\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/data/pie_Fav_genre.json b/Homework3/suchao/VanillaJS-Template/data/pie_Fav_genre.json
new file mode 100644
index 0000000..f01ed8f
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/data/pie_Fav_genre.json
@@ -0,0 +1,146 @@
+[
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+   "YouTube Music": 10,
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diff --git a/Homework3/suchao/VanillaJS-Template/data/streaming_service.json b/Homework3/suchao/VanillaJS-Template/data/streaming_service.json
new file mode 100644
index 0000000..5fd2606
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/data/streaming_service.json
@@ -0,0 +1,26 @@
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+    "count": 50
+  }
+]}
\ No newline at end of file
diff --git a/Homework3/suchao/VanillaJS-Template/index.html b/Homework3/suchao/VanillaJS-Template/index.html
new file mode 100644
index 0000000..9e07638
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/index.html
@@ -0,0 +1,14 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/css/materialize.min.css">
+    <title>ECS272 Information Visualization</title>
+  </head>
+  <body>
+    <div id="app"></div>
+    <script type="module" src="/app.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/js/materialize.min.js"></script>
+  </body>
+</html>
diff --git a/Homework3/suchao/VanillaJS-Template/package-lock.json b/Homework3/suchao/VanillaJS-Template/package-lock.json
new file mode 100644
index 0000000..1e09ad1
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/package-lock.json
@@ -0,0 +1,1137 @@
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+      "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/vite": {
+      "version": "4.3.9",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-4.3.9.tgz",
+      "integrity": "sha512-qsTNZjO9NoJNW7KnOrgYwczm0WctJ8m/yqYAMAK9Lxt4SoySUfS5S8ia9K7JHpa3KEeMfyF8LoJ3c5NeBJy6pg==",
+      "dev": true,
+      "dependencies": {
+        "esbuild": "^0.17.5",
+        "postcss": "^8.4.23",
+        "rollup": "^3.21.0"
+      },
+      "bin": {
+        "vite": "bin/vite.js"
+      },
+      "engines": {
+        "node": "^14.18.0 || >=16.0.0"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.2"
+      },
+      "peerDependencies": {
+        "@types/node": ">= 14",
+        "less": "*",
+        "sass": "*",
+        "stylus": "*",
+        "sugarss": "*",
+        "terser": "^5.4.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        }
+      }
+    }
+  }
+}
diff --git a/Homework3/suchao/VanillaJS-Template/package.json b/Homework3/suchao/VanillaJS-Template/package.json
new file mode 100644
index 0000000..55b5298
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/package.json
@@ -0,0 +1,22 @@
+{
+  "name": "vanillajs",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "devDependencies": {
+    "axios": "^1.2.1",
+    "d3": "^7.8.0",
+    "lodash": "^4.17.21",
+    "vite": "^4.3.9"
+  },
+  "dependencies": {
+    "d3-zoom": "^3.0.0",
+    "materialize": "^1.0.0",
+    "react": "^18.2.0"
+  }
+}
diff --git a/Homework3/suchao/VanillaJS-Template/src/barChart.js b/Homework3/suchao/VanillaJS-Template/src/barChart.js
new file mode 100644
index 0000000..21a2862
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/src/barChart.js
@@ -0,0 +1,162 @@
+import * as d3 from 'd3';
+import Data from '../data/Genre_count.json';
+import axios from 'axios';
+import { isEmpty, debounce } from 'lodash';
+
+const margin = { left: 45, right: 0, top: 20, bottom: 85 };
+var size = { width: 0, height: 0 };
+var bars = Data.data;
+
+// Define a color scale, and each fav_genre has a unique color.
+const fav_genre_set = ["Classical", "Country", "EDM", "Folk", "Gospel", "Hip hop", "Jazz", "K pop", "Latin", "Lofi", "Metal", "Pop", "R&B", "Rap", "Rock", "Video game music"];
+const colorScale = d3.scaleOrdinal().domain(fav_genre_set).range(["red", "blue", "green", "brown", "orange", "grey", "purple", "yellow", "aqua", "fuchsia", "lime", "maroon", "navy", "olive", "silver", "teal"]); // Define a color scale
+
+const onResize = (targets) => {
+  targets.forEach(target => {
+    if (target.target.getAttribute('id') !== 'bar-container') return;
+    size = { width: target.contentRect.width, height: target.contentRect.height };
+    if (!isEmpty(size) && !isEmpty(bars)) {
+      d3.select('#bar-svg').selectAll('*').remove();
+      initChart();
+    }
+  });
+};
+
+const chartObserver = new ResizeObserver(debounce(onResize, 100));
+
+export const BarChart = () => (
+  `<div class='chart-container d-flex' id='bar-container'>
+      <svg id='bar-svg' width='100%' height='100%'>
+      </svg>
+  </div>`
+);
+
+export function mountBarChart() {
+  let barContainer = document.querySelector('#bar-container');
+  chartObserver.observe(barContainer);
+}
+
+function initChart() {
+  let xCategories = [...new Set(bars.map((d) => d.Fav_genre))];
+  // Create the horizontal scale and its axis generator.
+  const x = d3.scaleBand()
+    .domain(xCategories)
+    .range([margin.left, size.width - margin.right])
+    .padding(0.1);
+
+  const xAxis = d3.axisBottom(x).tickSizeOuter(0);
+
+  // Create the vertical scale.
+  const y = d3.scaleLinear()
+    .domain([0, d3.max(bars, d => d.count_genre)]).nice()
+    .range([size.height - margin.bottom, margin.top]);
+
+  // Create the SVG container and call the zoom behavior.
+  const svg = d3.select('#bar-svg')
+    .attr('width', size.width)
+    .attr('height', size.height)
+    .call(zoom);
+
+
+  const title = svg.append('g')  // Add a title to the chart.
+    .append('text')
+    .attr('transform', `translate(${size.width / 2}, ${margin.top - 15})`)
+    .attr('dy', '0.5rem')
+    .style('text-anchor', 'middle')
+    .style('font-size', '.9rem')
+    .text('Overview of the number of people who like different music genres');
+
+  // Append the bars with different colors.
+  svg.append('g')
+    .attr('class', 'bars')
+    .selectAll('rect')
+    .data(bars)
+    .join('rect')
+    .attr('x', d => x(d.Fav_genre))
+    .attr('y', d => y(d.count_genre))
+    .attr('height', d => y(0) - y(d.count_genre))
+    .attr('width', x.bandwidth())
+    .attr('fill', (d, i) => colorScale(i))
+    .on('click', function(event, d) {
+        d3.select('#bar-container').attr('selected', d.Fav_genre);
+    }); // Assign different colors based on the index
+
+  // Append the axes.
+  svg.append('g')
+    .attr('class', 'x-axis')
+    .attr('transform', `translate(0,${size.height - margin.bottom})`)
+    .call(xAxis)
+    .selectAll('text')
+    .style('text-anchor', 'end')
+    .attr('dx', '-0.5em')
+    .attr('dy', '-0.2em')
+    .attr('transform', 'rotate(-45)');
+
+  svg.append('g')
+    .attr('class', 'y-axis')
+    .attr('transform', `translate(${margin.left},0)`)
+    .call(d3.axisLeft(y))
+    .call(g => g.select('.domain').remove());
+
+  svg.append('g')
+    .attr('transform', `translate(${10}, ${size.height / 2}) rotate(-90)`)
+    .append('text')
+    .text('Count')
+    .style('font-size', '.8rem');
+
+  svg.append('g')
+    .attr('transform', `translate(${size.width / 2 - margin.left}, ${size.height - margin.top - 5})`)
+    .append('text')
+    .text('Genre Name')
+    .style('font-size', '.8rem');
+
+  // Create a color legend scale
+  const colorLegendScale = d3.scaleOrdinal()
+    .domain(xCategories)
+    .range(xCategories.map((category, i) => colorScale(i)));
+
+  // Create a legend SVG element
+  const legendSvg = svg.append('g')
+    .attr('class', 'legend')
+    .attr('transform', `translate(${size.width - margin.right - 100}, ${margin.top})`);
+
+  // Create colored rectangles and labels in the legend
+  const legendRectSize = 8;
+  const legendSpacing = 1;
+
+  const legendRects = legendSvg.selectAll('.legend-rect')
+    .data(xCategories)
+    .enter().append('rect')
+    .attr('class', 'legend-rect')
+    .attr('x', 0)
+    .attr('y', (d, i) => i * (legendRectSize + legendSpacing))
+    .attr('width', legendRectSize)
+    .attr('height', legendRectSize)
+    .style('fill', d => colorLegendScale(d));
+
+  const legendLabels = legendSvg.selectAll('.legend-label')
+    .data(xCategories)
+    .enter().append('text')
+    .attr('class', 'legend-label')
+    .attr('x', legendRectSize + legendSpacing)
+    .attr('y', (d, i) => i * (legendRectSize + legendSpacing) + legendRectSize / 2)
+    .style('font-size', '.5rem')
+    .attr('dy', '0.35em')
+    .text(d => d);
+
+  function zoom(svg) {
+    const extent = [[margin.left, margin.top], [size.width - margin.right, size.height - margin.top]];
+
+    svg.call(d3.zoom()
+      .scaleExtent([1, 8])
+      .translateExtent(extent)
+      .extent(extent)
+      .on('zoom', zoomed));
+
+    function zoomed(event) {
+      x.range([margin.left, size.width - margin.right].map(d => event.transform.applyX(d)));
+      svg.selectAll('.bars rect').attr('x', d => x(d.Fav_genre)).attr('width', x.bandwidth());
+      svg.selectAll('.x-axis').call(xAxis);
+    }
+  }
+}
diff --git a/Homework3/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js b/Homework3/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js
new file mode 100644
index 0000000..b7bfd61
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/src/parallelCoordiantesChart.js
@@ -0,0 +1,244 @@
+import * as d3 from 'd3';
+import Data from '../data/data_with_index.json';
+import { debounce, isEmpty } from 'lodash';
+
+const margin = { top: 40, right: 20, bottom: 40, left: 0 };
+let size = { width: 0, height: 0 };
+const data = Data;
+
+const Primary_streaming_service_index_set = [125, 126, 127, 128, 129, 130];
+const primary_streaming_service_set = ["Apple Music", "No streaming service.", "Other streaming service", "Pandora", "Spotify", "YouTube Music"];
+const colorScale = d3.scaleOrdinal().domain(Primary_streaming_service_index_set).range(["red", "blue", "green", "brown", "orange", "grey"]); // Define a color scale
+
+const onResize = (targets) => {
+  targets.forEach(target => {
+    if (target.target.getAttribute('id') !== 'parallel-coordinates-container') return;
+    size = { width: target.contentRect.width, height: target.contentRect.height };
+    if (!isEmpty(size) && !isEmpty(data)) {
+      d3.select('#parallel-coordinates-svg').selectAll('*').remove();
+      initParallelCoordinates();
+    }
+  });
+};
+
+const chartObserver = new ResizeObserver(debounce(onResize, 100));
+
+export const ParallelCoordinatesPlot = () => (
+  `<div class='PCchart-container d-flex' id='parallel-coordinates-container'>
+    <svg id='parallel-coordinates-svg' width='100%' height='100%'>
+    </svg>
+    <div id='legend-container'></div>
+  </div>`
+);
+
+export function mountParallelCoordinatesPlot() {
+  const container = document.querySelector('#parallel-coordinates-container');
+  chartObserver.observe(container);
+}
+
+function initParallelCoordinates() {
+  const chartContainer = d3.select('#parallel-coordinates-svg');
+
+  // append the svg object to the body of the page
+  chartContainer
+    .append("g")
+    .attr("transform",
+      "translate(" + margin.left + "," + margin.top + ")");
+
+  // Extract the list of dimensions we want to keep in the plot. Here I keep all except the column called Species
+  const dimensions = ['Age', 'While_working', 'Hours_per_day', 'Fav_genre_index', 'Primary_streaming_service_index'];
+
+  // For each dimension, I build a linear scale. I store all in a y object
+  const y = {}
+  for (const i in dimensions) {
+    const name = dimensions[i]
+    y[name] = d3.scaleLinear()
+      .domain(d3.extent(data, function (d) { return +d[name]; }))
+      .range([size.height - margin.bottom, margin.top])
+  }
+
+  // Build the X scale -> it finds the best position for each Y axis
+  const x = d3.scalePoint()
+    .range([0, size.width])
+    .padding(1)
+    .domain(dimensions);
+
+  // The path function takes a row of the csv as input and returns x and y coordinates of the line to draw for this row.
+  function path(d) {
+    return d3.line()(dimensions.map(function (p) { return [x(p), y[p](d[p])]; }));
+  }
+
+  // Draw the lines
+  chartContainer
+    .selectAll("myPath")
+    .data(data)
+    .enter().append("path")
+    .attr("d", path)
+    .style("fill", "none")
+    .style("stroke", (d, i) => {
+      const primaryStreamingServiceIndex = d['Primary_streaming_service_index'];
+      return colorScale(primaryStreamingServiceIndex);
+    })
+    .style("opacity", 0.5);
+
+  // Draw the axis:
+  chartContainer.selectAll("myAxis")
+    .data(dimensions).enter()
+    .append("g")
+    .attr("transform", function (d) { return "translate(" + x(d) + "," + 0 + ")"; })
+    .each(function (d) {
+      const tickValues = getTickValuesForDimension(d);
+      const tickFormat = getTickFormatForDimension(d);
+
+      d3.select(this)
+        .call(d3.axisLeft().scale(y[d])
+          .tickValues(tickValues)
+          .tickFormat((d, i) => tickFormat[i])
+        )
+    })
+    // Add axis title
+    .append("text")
+    .style("text-anchor", "middle")
+    .attr("y", -9)
+    .text(function (d) { return d; })
+    .style("fill", "black");
+
+  dimensions.forEach((dimension, i) => {
+    chartContainer.append("text")
+      .attr("transform", `translate(${x(dimension)}, ${size.height - 25})`) // Adjust the position as needed
+      .style("text-anchor", "middle")
+      .text(dimension)
+      .style("font-size", '.55rem')
+      .style("fill", "black");
+  });
+
+  const title = chartContainer.append('g')  // Add a title to the chart.
+    .append('text')
+    .attr('transform', `translate(${size.width / 2}, ${margin.top - 25})`)
+    .attr('dy', '0.5rem')
+    .style('text-anchor', 'middle')
+    .style('font-size', '.68rem')
+    .text('Overview of dataset in terms of Age, While_working, Hours_per_day, Fav_genre_index, and Primary_streaming_service_index');
+  // Draw the axis and labels
+  dimensions.forEach((dimension, i) => {
+    chartContainer.append("g")
+      .attr("class", "axis")
+      .attr("transform", `translate(${x(dimension)}, 0)`)
+      .append("text")
+      .style("text-anchor", "middle")
+      .attr("y", -15)
+      .text(dimension)
+      .style("fill", "black");
+  });
+
+  const brushes = dimensions.map((dimension) => {
+    return d3.brushY()
+      .extent([[-10, 0], [10, size.height]])
+      .on("brush end", brushed);
+  });
+
+  // Initialize the x-scale domain
+  x.domain(dimensions);
+
+  // Append the brushes to the chart
+  const brushGroup = chartContainer.selectAll(".brush")
+    .data(brushes)
+    .enter()
+    .append("g")
+    .attr("class", "brush")
+    .attr("transform", (d, i) => `translate(${x(dimensions[i])},0)`)
+    .each(function (d) {
+      d3.select(this).call(d);
+    });
+
+  // Function to handle brushing
+  function brushed(event) {
+    const selectedData = [];
+    chartContainer.selectAll("path")
+      .style("display", function (d) {
+        const isVisible = dimensions.every((dimension, i) => {
+          const extent = d3.brushSelection(brushGroup.nodes()[i]);
+          if (!extent) return true;
+          const yScale = y[dimension];
+          const yValue = yScale(d[dimension]);
+          return extent[0] <= yValue && yValue <= extent[1];
+        });
+        if (isVisible) {
+          selectedData.push(d);
+          return null; // Keep the path visible
+        } else {
+          return "none"; // Hide the path
+        }
+      });
+  }
+
+  // Create a color legend scale
+  const colorLegendScale = d3.scaleOrdinal()
+    .domain(primary_streaming_service_set)
+    .range(primary_streaming_service_set.map((primary_streaming_service_set, i) => colorScale(i)));
+
+  // Create a legend SVG element
+  const legendSvg = chartContainer.append('g')
+    .attr('class', 'legend')
+    .attr('transform', `translate(${size.width - margin.right - 85}, ${margin.top})`);
+
+  // Create colored rectangles and labels in the legend
+  const legendRectSize = 8;
+  const legendSpacing = 1;
+
+  const legendRects = legendSvg.selectAll('.legend-rect')
+    .data(primary_streaming_service_set)
+    .enter().append('rect')
+    .attr('class', 'legend-rect')
+    .attr('x', 0)
+    .attr('y', (d, i) => i * (legendRectSize + legendSpacing))
+    .attr('width', legendRectSize)
+    .attr('height', legendRectSize)
+    .style('fill', d => colorLegendScale(d));
+
+  const legendLabels = legendSvg.selectAll('.legend-label')
+    .data(primary_streaming_service_set)
+    .enter().append('text')
+    .attr('class', 'legend-label')
+    .attr('x', legendRectSize + legendSpacing)
+    .attr('y', (d, i) => i * (legendRectSize + legendSpacing) + legendRectSize / 2)
+    .style('font-size', '.52rem')
+    .attr('dy', '0.35em')
+    .text(d => d);
+}
+
+// Function to get tick values for a specific dimension
+function getTickValuesForDimension(dimension) {
+  switch (dimension) {
+    case 'Age':
+      return [10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74, 80, 89];
+    case 'Primary_streaming_service_index':
+      return [125, 126, 127, 128, 129, 130];
+    case 'While_working':
+      return [151, 152];
+    case 'Hours_per_day':
+      return [0, 0.1, 0.25, 0.5, 0.7, 1, 1.5, 2, 2.5, 3, 4, 4.5, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 20, 24];
+    case 'Fav_genre_index':
+      return [131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146];
+    default:
+      return [];
+  }
+}
+
+// Function to get tick format for a specific dimension
+function getTickFormatForDimension(dimension) {
+  switch (dimension) {
+    case 'Age':
+      return [10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74, 80, 89];
+    case 'Primary_streaming_service_index':
+      return ["Apple Music", "No streaming service", "Other", "Pandora", "Spotify", "YouTube Music"];
+    case 'While_working':
+      return ["Yes", "No"];
+    case 'Hours_per_day':
+      return [0, 0.1, 0.25, 0.5, 0.7, 1, 1.5, 2, 2.5, 3, 4, 4.5, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 20, 24];
+    case 'Fav_genre_index':
+      return ["Classical", "Country", "EDM", "Folk", "Gospel", "Hip hop", "Jazz", "K pop", "Latin", "Lofi", "Metal", "Pop", "R&B", "Rap", "Rock", "Video game music"];
+    default:
+      return [];
+  }
+}
diff --git a/Homework3/suchao/VanillaJS-Template/src/pieBarChart.js b/Homework3/suchao/VanillaJS-Template/src/pieBarChart.js
new file mode 100644
index 0000000..05e53bc
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/src/pieBarChart.js
@@ -0,0 +1,344 @@
+import * as d3 from 'd3';
+import AllData from '../data/streaming_service.json';
+import Data from '../data/pie_Fav_genre.json';
+import { isEmpty, debounce } from 'lodash';
+
+const margin = { left: 45, right: 20, top: 20, bottom: 75 };
+var size = { width: 0, height: 0 };
+var data = AllData.data;
+var selected = '';
+
+// Define a color scale for both charts
+const colorScale = d3.scaleOrdinal(d3.schemeCategory10);
+
+const onResize = (targets) => {
+    targets.forEach(target => {
+        if (target.target.getAttribute('id') !== 'chart-container') return;
+        size = { width: target.contentRect.width, height: target.contentRect.height };
+        if (!isEmpty(size) && !isEmpty(data)) {
+            d3.select('#chart-svg').selectAll('*').remove();
+            if (isBarChartVisible) {
+                initBarChart();
+            } else {
+                if (selected !== '') {
+                    data = Object.entries(Data.find((element) => element.Fav_genre === selected)).map(([key, value]) => {
+                        return {'Primary_streaming_service': key, 'count': value};
+                    }).filter(((element) => element.Primary_streaming_service !== "Fav_genre"));
+                }
+                initPieChart();
+            }
+        }
+    });
+};
+
+const onChange = (targets) => {
+    targets.forEach(target => {
+        if(target.type === "attributes") {
+            if (target.target.getAttribute('id') !== 'bar-container') return;
+            selected = target.target.getAttribute('selected')
+            if (!isEmpty(size) && !isEmpty(data)) {
+                d3.select('#chart-svg').selectAll('*').remove();
+                if (isBarChartVisible) {
+                    initBarChart();
+                } else {
+                    if (selected !== '') {
+                        console.log(selected);
+                        data = Object.entries(Data.find((element) => element.Fav_genre === selected)).map(([key, value]) => {
+                            return {'Primary_streaming_service': key, 'count': value};
+                        }).filter(((element) => element.Primary_streaming_service !== "Fav_genre"));
+                    }
+                    initPieChart();
+                }
+            }
+        }
+        
+    })
+}
+
+const chartObserver = new ResizeObserver(debounce(onResize, 100));
+const selectionObserver = new MutationObserver(debounce(onChange, 100));
+
+export const Chart = () => (
+    `<div class='chart-wrapper'>
+        <button id='switch-button'>Switch Chart</button>
+        <div class='chart-container' id='chart-container'>
+            <svg id='chart-svg' width='100%' height='100%'></svg>
+        </div>
+    </div>`
+);
+
+export function mountChart() {
+    let chartContainer = document.querySelector('#chart-container');
+    chartObserver.observe(chartContainer);
+
+    let barContainer = document.querySelector('#bar-container');
+    selectionObserver.observe(barContainer, {
+        attributes: true
+    });
+
+    const switchButton = document.querySelector('#switch-button');
+    switchButton.addEventListener('click', toggleChart);
+
+    initPieChart();
+}
+
+let isBarChartVisible = false;
+
+function toggleChart() {
+    const chartContainer = d3.select('#chart-container');
+    const chartSvg = d3.select('#chart-svg');
+
+    if (isBarChartVisible) {
+        // Switch to the pie chart
+        chartSvg.selectAll('*').remove();
+        initPieChart();
+    } else {
+        // Switch to the bar chart
+        chartSvg.selectAll('*').remove();
+        initBarChart();
+    }
+
+    isBarChartVisible = !isBarChartVisible;
+}
+
+// Define a function to initialize the Bar Chart
+function initBarChart() {
+    let xCategories = [...new Set(data.map((d) => d.Primary_streaming_service))];
+
+    // Create the horizontal scale and its axis generator.
+    const x = d3.scaleBand()
+        .domain(xCategories)
+        .range([margin.left, size.width - margin.right])
+        .padding(0.1);
+
+    const xAxis = d3.axisBottom(x).tickSizeOuter(0);
+
+    // Create the vertical scale.
+    const y = d3.scaleLinear()
+        .domain([0, d3.max(data, d => d.count)]).nice()
+        .range([size.height - margin.bottom, margin.top]);
+
+    // Create the SVG container and call the zoom behavior.
+    const svg = d3.select('#chart-svg')
+        .attr('width', size.width)
+        .attr('height', size.height);
+
+    const title = svg.append('g')
+        .append('text')
+        .attr('transform', `translate(${size.width / 2}, ${margin.top - 15})`)
+        .attr('dy', '0.5rem')
+        .style('text-anchor', 'middle')
+        .style('font-size', '.9rem')
+        .text('Overview of the number of respondents in different streaming services');
+
+    // Append the bars with different colors.
+    const bars = svg.append('g')
+        .attr('class', 'bars')
+        .selectAll('rect')
+        .data(data)
+        .enter()
+        .append('rect')
+        .attr('x', d => x(d.Primary_streaming_service))
+        .attr('y', y(0))
+        .attr('height', 0)
+        .attr('width', x.bandwidth())
+        .attr('fill', (d, i) => colorScale(i));
+
+    // Transition to update the bar chart
+    bars.transition()
+        .duration(1000)
+        .attr('y', d => y(d.count))
+        .attr('height', d => size.height - margin.bottom - y(d.count));
+
+    // Append the axes.
+    svg.append('g')
+        .attr('class', 'x-axis')
+        .attr('transform', `translate(0,${size.height - margin.bottom})`)
+        .call(xAxis)
+        .selectAll('text')
+        .style('text-anchor', 'end')
+        .attr('dx', '-0.1em')
+        .attr('dy', '0.3em')
+        .attr('transform', 'rotate(-10)');
+
+    svg.append('g')
+        .attr('class', 'y-axis')
+        .attr('transform', `translate(${margin.left},0)`)
+        .call(d3.axisLeft(y))
+        .call(g => g.select('.domain').remove());
+
+    svg.append('g')
+        .attr('transform', `translate(${10}, ${size.height / 2}) rotate(-90)`)
+        .append('text')
+        .text('Count')
+        .style('font-size', '.8rem');
+
+    svg.append('g')
+        .attr('transform', `translate(${size.width / 2 - margin.left}, ${size.height - margin.top - 5})`)
+        .append('text')
+        .text('Genre Name')
+        .style('font-size', '.8rem');
+
+    // Create a color legend scale
+    const colorLegendScale = d3.scaleOrdinal()
+        .domain(xCategories)
+        .range(xCategories.map((category, i) => colorScale(i)));
+
+    // Create a legend SVG element
+    const legendSvg = svg.append('g')
+        .attr('class', 'legend')
+        .attr('transform', `translate(${size.width - margin.right - 120}, ${margin.top})`);
+
+    // Create colored rectangles and labels in the legend
+    const legendRectSize = 12;
+    const legendSpacing = 1;
+
+    const legendRects = legendSvg.selectAll('.legend-rect')
+        .data(xCategories)
+        .enter().append('rect')
+        .attr('class', 'legend-rect')
+        .attr('x', 0)
+        .attr('y', (d, i) => i * (legendRectSize + legendSpacing))
+        .attr('width', legendRectSize)
+        .attr('height', legendRectSize)
+        .style('fill', d => colorLegendScale(d));
+
+    const legendLabels = legendSvg.selectAll('.legend-label')
+        .data(xCategories)
+        .enter().append('text')
+        .attr('class', 'legend-label')
+        .attr('x', legendRectSize + legendSpacing)
+        .attr('y', (d, i) => i * (legendRectSize + legendSpacing) + legendRectSize / 2)
+        .style('font-size', '.5rem')
+        .attr('dy', '0.35em')
+        .text(d => d);
+}
+
+// Define a function to initialize the Pie Chart
+function initPieChart() {
+    console.log(data);
+    const pieContainer = d3.select('#chart-svg');
+    
+    // Define your pie chart data and layout here
+    const pieData = d3.pie().value(d => d.count)(data);
+    const arcGenerator = d3.arc()
+        .innerRadius(0)
+        .outerRadius(Math.min(size.width, size.height) / 2 - 35);
+
+    const pieGroup = pieContainer.append('g')
+        .attr('transform', `translate(${size.width / 2}, ${size.height / 2})`);
+
+    const sliceLabels = pieGroup.selectAll('.slice-labels')
+        .data(pieData)
+        .enter()
+        .append('g')
+        .attr('class', 'slice-labels');
+
+    const title = pieContainer.append('g')
+        .append('text')
+        .attr('transform', `translate(${size.width / 2}, ${margin.top - 15})`)
+        .attr('dy', '0.5rem')
+        .style('text-anchor', 'middle')
+        .style('font-size', '.9rem')
+        .text(`Distribution of the streaming services under ${(selected)? selected: "all genres"}` );
+
+    // Append pie chart slices and animate transitions
+    const paths = sliceLabels.append('path')
+        .attr('d', arcGenerator)
+        .attr('fill', (d, i) => colorScale(i));
+
+    // Add percentages to the slices
+    paths.each(function (d) {
+        const slice = d3.select(this);
+        const [x, y] = arcGenerator.centroid(d);
+        const percentage = ((d.endAngle - d.startAngle) / (2 * Math.PI)) * 100; // Calculate percentage
+
+        // Display percentage text on the slice
+        sliceLabels.append('text')
+            .attr('class', 'percentage-label')
+            .attr('text-anchor', 'middle')
+            .attr('x', x)
+            .attr('y', y - 10) // Adjust the vertical position of the text
+            .text(`${percentage.toFixed(1)}%`)
+            .style('font-size', '.8rem');
+    });
+
+    paths.on('mouseover', function (event, d) {
+        d3.select(this)
+            .transition()
+            .duration(100)
+            .attr('d', arcGenerator.innerRadius(0).outerRadius(Math.min(size.width, size.height) / 2 - 28));
+    });
+
+    // Add tooltips on hover
+    sliceLabels.on('mouseover', function (event, d) {
+        const [x, y] = arcGenerator.centroid(d);
+
+        // Display tooltip with Primary_streaming_service and count
+        sliceLabels.append('text')
+            .attr('class', 'tooltip')
+            .attr('text-anchor', 'middle')
+            .attr('x', x)
+            .attr('y', y + 20) // Adjust the vertical position of the text
+            .text(`${d.data.Primary_streaming_service}: ${d.data.count}`)
+            .style('font-size', '.8rem')
+            .attr('fill', 'white');
+    });
+
+    // Remove tooltips on mouseout
+    sliceLabels.on('mouseout', function () {
+        // Remove tooltip
+        sliceLabels.select('.tooltip').remove();
+    });
+
+    paths.on('mouseout', function (event, d) {
+        d3.select(this)
+            .transition()
+            .duration(100)
+            .attr('d', arcGenerator.innerRadius(0).outerRadius(Math.min(size.width, size.height) / 2 - 35));
+    });
+
+    // Animate transitions
+    paths.transition()
+        .duration(1000)
+        .attrTween('d', function (d) {
+            const interpolate = d3.interpolate({ startAngle: 0, endAngle: 0 }, d);
+            return function (t) {
+                return arcGenerator(interpolate(t));
+            };
+        });
+
+    // Create a color legend scale
+    const colorLegendScale = d3.scaleOrdinal()
+        .domain(data.map(d => d.Primary_streaming_service))
+        .range(data.map((d, i) => colorScale(i)));
+
+    // Create a legend SVG element
+    const legendSvg = pieContainer.append('g')
+        .attr('class', 'legend')
+        .attr('transform', `translate(${size.width - margin.right - 120}, ${margin.top})`);
+
+    // Create colored rectangles and labels in the legend
+    const legendRectSize = 12;
+    const legendSpacing = 1;
+
+    const legendRects = legendSvg.selectAll('.legend-rect')
+        .data(data.map(d => d.Primary_streaming_service))
+        .enter().append('rect')
+        .attr('class', 'legend-rect')
+        .attr('x', 0)
+        .attr('y', (d, i) => i * (legendRectSize + legendSpacing))
+        .attr('width', legendRectSize)
+        .attr('height', legendRectSize)
+        .style('fill', d => colorLegendScale(d));
+
+    const legendLabels = legendSvg.selectAll('.legend-label')
+        .data(data.map(d => d.Primary_streaming_service))
+        .enter().append('text')
+        .attr('class', 'legend-label')
+        .attr('x', legendRectSize + legendSpacing)
+        .attr('y', (d, i) => i * (legendRectSize + legendSpacing) + legendRectSize / 2)
+        .style('font-size', '.5rem')
+        .attr('dy', '0.35em')
+        .text(d => d);
+}
diff --git a/Homework3/suchao/VanillaJS-Template/style.css b/Homework3/suchao/VanillaJS-Template/style.css
new file mode 100644
index 0000000..2eb0e92
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/style.css
@@ -0,0 +1,107 @@
+/* Define global styles for the entire document */
+:root {
+  font-family: Inter, Avenir, Helvetica, Arial, sans-serif; /* Set the default font family */
+  font-size: 1rem; /* Set the default font size */
+
+  /* Font rendering and smoothing properties */
+  font-synthesis: none; /* Disable font synthesis */
+  text-rendering: optimizeLegibility; /* Optimize text rendering for legibility */
+  -webkit-font-smoothing: antialiased; /* Enable anti-aliased text rendering on WebKit browsers */
+  -moz-osx-font-smoothing: grayscale; /* Enable grayscale text rendering on macOS */
+  -webkit-text-size-adjust: 100%; /* Adjust text size for mobile devices */
+}
+
+/* Apply styles to the entire body of the HTML document */
+body {
+  margin: 0; /* Remove default margin */
+  height: 100vh; /* Set the body height to fill the viewport (100% of the viewport height) */
+}
+
+/* Apply styles to the element with the id "app" */
+#app {
+  height: 100%; /* Make sure #app takes up the entire viewport height */
+  width: 100%; /* Make sure #app takes up the entire viewport width */
+}
+
+/* Apply styles to elements with class "column" */
+.column {
+  padding: 10px; /* Add padding to all sides of the element */
+  flex: 1; /* Each column should take equal space within its container */
+  display: flex; /* Use a flexbox layout for the container */
+  flex-direction: column; /* Arrange child elements in a vertical column */
+  overflow: auto; /* Allow content to scroll if it overflows the container */
+}
+
+/* Apply styles to elements with class "d-flex" */
+.d-flex {
+  display: flex; /* Use a flexbox layout for elements with this class */
+}
+
+/* Apply styles to elements with class "flex-column" */
+.flex-column {
+  flex-direction: column; /* Arrange child elements in a vertical column */
+}
+
+.chart-container{
+  height: 50vh;
+  width: 100%;
+}
+
+.PCchart-container{
+  height: 100%;
+  width: 100vw;
+}
+
+/* Apply styles to elements with class "flex-nowrap" */
+.flex-nowrap {
+  flex-wrap: nowrap; /* Prevent child elements from wrapping to the next line */
+}
+
+/* Apply styles to the element with the id "main-container" */
+#main-container {
+  height: 100%; /* Make sure #main-container takes up the entire viewport height */
+  display: flex; /* Use a flexbox layout for the container */
+}
+
+/* Apply styles to elements with class "left-panel" */
+.left-panel {
+  display: flex; /* Use a flexbox layout for elements with this class */
+  flex-direction: column; /* Arrange child elements in a vertical column */
+  width: 50%; /* Set the width of the left panel to 50% of the parent container */
+}
+
+/* Apply styles to elements with class "top-half" and "bottom-half" */
+.top-half,
+.bottom-half {
+  flex: 1; /* Each of these sections should take equal space within their container */
+  display: flex; /* Use a flexbox layout for these sections */
+  justify-content: center; /* Center content horizontally within each section */
+  align-items: center; /* Center content vertically within each section */
+}
+
+/* Apply styles to the element with class "middle-center" */
+.middle-center {
+  width: 100%; 
+  /* Allow this element to adjust its width automatically */
+}
+
+/* Adjust the width and layout for the right panel */
+.right-panel {
+  width: 50%; /* Set the width of the right panel to 50% of the parent container */
+  display: flex; /* Use a flexbox layout for the right panel */
+  justify-content: center; /* Center content horizontally within each section */
+  align-items: center; /* Center content vertically within the right panel */
+  background-color: #f0f0f0; /* Set the background color for the right panel */
+}
+
+.chart-wrapper {
+  display: flex;
+  flex-direction: column; /* Arrange items in a column layout. Button on top, chart container below. */
+  align-items: center; /* Center items horizontally within the wrapper. */
+}
+
+#switch-button {
+  margin-bottom: 1px; /* Add margin to the bottom of the button for spacing. */
+  font-size: .8rem; /* Adjust the font size as needed. */
+}
+
diff --git a/Homework3/suchao/VanillaJS-Template/vite.config.js b/Homework3/suchao/VanillaJS-Template/vite.config.js
new file mode 100644
index 0000000..ce484e2
--- /dev/null
+++ b/Homework3/suchao/VanillaJS-Template/vite.config.js
@@ -0,0 +1,8 @@
+import { defineConfig } from 'vite'
+
+// vite.config.js
+export default defineConfig({
+    server: {
+        port: 3000,
+    },
+})
\ No newline at end of file