#Effect of Rain and Higher Ridership on NYC Subway System

##Table of Contents

• bar_charts.py: Plot hourly entries to subway.
• final_revised.pdf: Summary report on findings from analysis
• gd_regression.py: Perform regression via gradient descent using presence of rain as regression feature. Plot residuals
• histograms.py: Plot histograms for number of hourly entries on rainy and clear days.
• queries.py: Query the dataframe for ridership statistics using pandasql library.
• shapiro_wilk.py: Use the Shapiro Wilk test for normality. Verify with q-q plot.
• subway.txt: Raw turnstile data
• turnstile_data_master_with_weather.csv