Project of Data Visualization (COM-480)

Student's name	SCIPER
Liu Haowen	341790
Sun Haoxin	336556
Wu Yujie	334899

Milestone 1 • Milestone 2 • Milestone 3

Project Structure

- datasets
  - country_capital.csv             # aided dataset for data geographical analysis, containing (country, capital) couples
  - medals1986_2020.csv             # dataset for Olympics from 1896 to 2020
  - medals2022.csv                  # dataset for Beijing 2022 Winter Olympics
- exploratory_data_analysis
  - data_analysis.ipynb             # exploartory data analysis in Python
  - pull_img.ipynb                  # pull athletes' images from wikipedia
- milestones
  - milestone1.pdf                  # our report for milestone 1
  - milestone2.pdf                  # our report for milestone 2
  - process_book.pdf                # our process book for milestone 3
- skeleton                          # source code for our design
  - assets                          # sources code (html, js and css)
  - images                          # image files
  - athleteFullInformation.csv      # dataset (processed) used in the project
  - index.html                      # basic information about Winter Olympics
  - page2.html                      # interactive map
  - statistic.html                  # statistical data
- README.md

Milestone 1 (8th April, 5pm)

10% of the final grade

Milestone 1 - Report

To run our exploratory data analysis notebook, the following libraries are needed:

- csv
- itertools
- geopy.geocoders
- math
- matplotlib
- mpl_toolkits.basemap
- numpy
- pandas

Milestone 2 (6th May, 5pm)

10% of the final grade

Milestone 2 - Report

To check our prototype website design, see the following:

- skeleton                         
  - index.html                      # basic information about Winter Olympics
  - page2.html                      # interactive map
  - statistics.html                 # statistical data

Milestone 3 (3rd June, 5pm)

80% of the final grade

To access our website, clicking on this URL: Our website

Other materials:

Process book & Screencast