Google store analysis
Google Playstore
The dataset is taken from Kaggle
This notebook covers the cleaning and exploration of data for ‘Google Play Store Apps’.
Top 10 categories in Google playstore
Introduction
Sentiment Analysis is a technique used in text mining. It may, therefore, be described as a text mining technique for analyzing the underlying sentiment of a text message, i.e., a tweet. Twitter sentiment or opinion expressed through it may be positive, negative or neutral.
Content Rating
In this dataset we have
App: Application nameCategory: Category the app belongs toRating: Overall user rating of the appReviews: Number of user reviews for the appSize: Size of the appInstalls: Number of user downloads/installs for the appType: Paid or FreePrice: Price of the appContent Rating: Age group the app is targeted at - Children / Mature 21+ / AdultGenres: An app can belong to multiple genres . For eg, a musical family game will belong to Music, Game, Family genres.Last Updated: Date when the app was last updated on Play StoreCurrent Ver: Current version of the app available on Play StoreAndroid Ver: Min required Android version
Find my code at: MPrathyusha01/Google-Play-store-analysis