In this project we analyse the data, which describes over 40 000 rounds of poker.
This data is taken from KAGGLE.com, though is also zipped in the repository under the name poker_games.7z
The main themes of the analysis contain:
- correlation between the number of wins and the money-winning average,
- the effect of specific card combinations on the winnings,
- characterisation of bluffing.
In the repository there are two main scripts for converting the source file into more managable csv files. The first, send_to_csv.py takes the raw data inside poker_games.txt and sorts them into tables. The second, tidy_csv.py tidies the data into something more analysis-friendly.