Tree and graph

Enlighted by Zoomable sunburst from Mike Bostock.

python scripts for data-processing

under path ./python/ are 4 filers:

dataset_exploration.ipynb

It is the jupyter notebook file of the dataset. In this file you can have a thorough understanding of the dataset in this work, which is the dataset of all the steam games.

steam-store-games.csv

It is the original dataset.

make_hierarchy.py

It transfers a dataset to a tree structure.

1. After cloning the repo, use cd .\python\ to go to the folder.

2. Then use python .\make_hierarchy.py -h to see the arguments of this script. Notice parameter "value" should be used.

3. For instance, if genres should be valued based on average playtime, then use python .\make_hierarchy.py .\steam-store-games.csv genres average_playtime. This will create a filtered_steam.csv file under the python folder, which contains the data filtered by the filtering function.

4. The filtering parameters can be changed in function: def filter_csv(path). These parameters can be input arguments, however, that will make the argument- list incredibly long and not user-friendly. So I put them in the function for now.

5. The generated json file for visualization will be in ./public/data/ with a "_try" to avoid covering the data I used for visualization.

visualization

1. If you are now in python folder, use cd .. to get back.
2. Use npm install to install the necessary packages.
3. Then use npm run dev to start the server.
4. Use Ctrl + C to end the terminal.