Google Play Store Apps Dataset Analysis
In the Python Notebook, the Play Store Apps Dataset, taken from Kaggle, is analysed with various Plots and Conclusions. The Dataset has data about more than 10,000 apps in the Store.
Dataset Link : https://www.kaggle.com/lava18/google-play-store-apps
Language : Python
Tool/Environment : Jupyter Notebook
Packages Used : pandas, numpy, matplotlib, seaborn
Important Conclusions from the Analysis are:
Maximum Number of Apps in the Store are from the "Family' and 'Game' Category.
Most of the Apps hold a rating of above 4.0 easily.
A total of 271 Apps have 5.0 Rating.
The most famous Apps like WhatsApp, Facebook and Instagram are the most reviewed Apps.
93% of the Apps are free in the Play Store.
The costliest App is 'I am Rich- Trump Edition', which is of $400!
Apps related to Education, LifeStyle and Tools seem to fetch full Ratings.