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This repository contains course material for Interactive Data Visualization (DATA 732000), taught at CUNY Fall Semester, 2022, as a part of the M.S. in Data Analysis and Visualization.

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Interactive-Data-Vis-Fall2022

This repository contains course material for Interactive Data Visualization (DATA 732000), taught at CUNY Fall Semester, 2022, as a part of the M.S. in Data Analysis and Visualization.

Starter code for each of the tutorials is located on the /main branch, whereas code built in live coding sessions from class exists on the /class branch. Dmo code from classs lives on the /demo branch. Live links to tutorial pages are listed below.

Classwork and Tutorials

Section Tutorial Topic Starter Code Demo Code Class Code Tutorial Revisited Tutorial
Section 1 Tutorial 1 Getting Started /tree/main /tree/demo /tree/class Tutorial 1.1
Section 1 Tutorial 2 Basic HTML /tree/main /tree/demo /tree/class Tutorial 1.2
Section 1 Tutorial 3 Intro to JS /tree/main /tree/demo /tree/class Tutorial 1.3
Section 2 Tutorial 1 Quantities and Amounts /tree/main /tree/demo /tree/class Tutorial 2.1
Section 2 Tutorial 2 Distributions /tree/main /tree/demo /tree/class Tutorial 2.2
Section 2 Tutorial 3 Timeseries /tree/main /tree/demo /tree/class Tutorial 2.3 Tutorial 2.3 Revisited
Section 2 Tutorial 4 Geographic /tree/main /tree/demo /tree/class Tutorial 2.4

Final Project

Project screenshot

Topic                                                                    Code                                                                  Live link                                                                   
Final Project Code Live link

This project is a narrative exploration exploring the intersection of gentrification and immigrant community in Greenpoint, Brooklyn. Project goals and technical information regarding the data analysis and visualization are located on the live site as well.

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This repository contains course material for Interactive Data Visualization (DATA 732000), taught at CUNY Fall Semester, 2022, as a part of the M.S. in Data Analysis and Visualization.

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  • JavaScript 57.7%
  • HTML 31.2%
  • CSS 11.1%