A place for my data sciencey related projects
A look at the difference between regular and post season hockey shot blocking data.
shot-blocking-selenium.py- Data scraping. Saves the scraped data to a Pandas dataframe, and persist to a csv.block-data.csv- First set of data, split between regular season and playoffs.data-v2.csv- Final dataset. Both regular season and playoff data is listed in the same row for each team-season.hockey-shot-block-analysis.ipynb- Analysis and plotting.analysis.py- Code from ipython notebook aggregated into a file.
An introduction to grouping in Pandas
grouping.py- Script for examplesdata.csv[file is too big to include in repo] - Example data (June 2016 NYC Citi-Bike data, taken from the City Bike website )
Using pandas to analyze iPhone step tracking data
analysis.py- Script with codehealth_data_hour.csv- hourly data from QS Access app for iPhone [not included - I can't share that personal info!]*_plot.png- plots from the analysis script