Amazon Reviews Analysis

This Jupyter notebook is a visual data analysis investigating a handful of correlations across product categories in this dataset of 230 million Amazon reviews.

The following are a series of draft notebook I used for EDA (exploratory data analysis). Many pieces of the functions in the above notebook were drafted in these.

1. pandas_feather_benchmark - a progressively scaled benchmarking comparison of feather-format VS pd.read_csv and .apply VS pandas datetime
2. Time_Analysis - a time based analysis of several product catagories to discover any trends across annual, monthly, or weekly reviews
3. Review_Timing - comparing across a series of time increments (day of week, day of month, and monthly) the average rating
4. Word_Count - comparing common language in reviews across several catagories, included an analysis of top words

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