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..
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.ipynb_checkpoints
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images
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00 OPEN ME FIRST!!!.ipynb
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Exercise 1 - Reading from a CSV.ipynb
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Exercise 2 - Selecting data & finding the most common complaint type.ipynb
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Exercise 3 - Which borough has the most noise complaints? (or, more selecting data).ipynb
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Exercise 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb
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Exercise 5 - Combining dataframes and scraping Canadian weather data.ipynb
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Exercise 6 - String operations! Which month was the snowiest?.ipynb
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Exercise 7 - Cleaning up messy data.ipynb
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Exercise 8 - How to deal with timestamps.ipynb
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Problem 1_Bike_Data_2010_Rosslyn.ipynb
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Problem 2_Combine_Bike_and_Weather_Data.ipynb
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Reference 1 - High Level Tools Overview.ipynb
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Reference 2 - Pandas Intro.ipynb
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Reference 3 - Aggregation and Grouping.ipynb
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Reference 4 - Further Processing.ipynb
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.DS_Store
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2010_Custis_Rosslyn01.01_12.31_15mins.csv
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2010_Rosslyn_Custis_Bike_Data.xlsx
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Merged_bike_weather_2010.csv
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Reagan_Weather_2010.csv
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Weather2009.csv
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Weather2010.csv
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Weather2011.csv
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Weather2012.csv
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Weather2013.csv
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merged_bike_weather.xlsx
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