Python Analysis with two datasets; Google Apps and App Reviews
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Importing the data
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Understanding the data
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Cleaning Data
Dropping the Duplicates
Correcting the shifts
Rating
Reviews
Size
Installs
Price
Category
Last Updated
Type -
Visualising the Data
Content Rating
Free and Paid Apps -
Exploratory Data Analysis
General Correlation
Correlation with Type
Category and Type
Category and Reviews
Category and Installs
Category and Price
Type and Installs
Word Count in Reviews
Mean Sentiment for Each App
Comparison of two dataframes (Apps and Reviews) -
Joining the Data (Apps and Reviews)
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Further Analysis
Reviews of Paid Apps and Review Word Counts
Reviews of Free Apps and Review Word Counts
Highest revenued apps and reviews
Highest Revenued App Categories and Review Word Counts
Most Successfull apps, types and categories