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Collecting the data

json_collect_data.py - Fetches all the data from the Skidstorm site per car per map

To run:

python json_collect_data

All output is in json_data directory. This needs to be executing before any other command.

Analyzing the data

data_analyse.py - Calculates average and standard deviation of score per car per map To run:

python data_analyse

All output is in aggregated_data directory which contains only the average of all cars in each map. The average and standard deviation is in json_stat directory.

Finding score of top k players

calc_top_k.py - Prints the top k players in each car in each map.

To run:

python calc_top_k 50

This finds the top 50 players of each car and each map. The ouput directory is json_stat_topk

Finding ideal car groups

This code is a bit buggy as of now. The supplied list needs to be transposed before being fed to the clustering algorithm. Will update later.

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Fetching data of all time trails of each car in each map

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