How to run

Please host a local server, e.g. using http-server npm i http-server.

1. Run http-server in the foot folder.
2. Open http://localhost:8080 using web browser.

For level 4, open level4/level4.ipynb using Jupyter Notebook.

For level 6, React + Redux and Flask are used as frontend and backend respectively. mongoDB is used for database. (WIP)

1. Go to folder level6/backend, install required libraries by pip install -r requirements.txt (in virual python environment).
2. Run python app.py to start the backend server.
3. Go to folder ../frontend, install required modules by npm install.
4. Run npm start to start the frontend server.
5. Open http://localhost:8080 using web browser.

Justification:

1. For level 1 and 2, I used another color scheme.
2. For level 3, I used bar chart instead of line chart to display the daily temperature.

HKUST VisLab Coding Challenge

Welcome to the coding challenge of VisLab! We have set a couple of challenges for you:

Level 1 & 2 (Basic): Link

HK Temperature Heatmap

Level 3 (Intermediate): Link

HKUST Co-author Graph

Level 4 and above (Optional)

The followings challenges will take more time to complete and include an open-end bonus part.

Please take only ONE challenge at maximum.

Level 4 (Data Analysis): Link

Spotify's Worldwide Daily Song Ranking

Level 5 (Machine Learning specific): Link

Kaggle competition: Dogs vs. Cats

Level 6 (Fullstack Web Application): Link

Stock Market Chart

Grading:

1. Correctness (50%)
2. Maintainability (50%)

Submission:

Please create a github repository under your github account, and send us the URL of that repository.

Happy coding!