Skip to content

Analyzing Apple store's data. many interesting observations!

Notifications You must be signed in to change notification settings

shaCode256/Apple-Store-Data-Analysis

Repository files navigation

B.H

DATA SCIENCE VISUALIZATION

Apple Store dataSet- CSV

How to use?

Download the Python code and put it where you can access it. Run it.

Let's take a look inside-

Pictures to help and visualize how it's going:

Mean price by genres: Mean price by genres

Price Distribution by Genres: Price Distribution by Genres

user Rating by price Distribution: user Rating by price Distribution

Mean of Rating Apps Count by Genres: Mean of Rating Apps Count by Genres

Mean of Rating Score by Genres: ![Mean of Rating Score by Genres)]https://github.com/shaCode256/Apple-Store-csv/blob/main/Apple%20Visualization%20Graphs/AVMadnatMean%20of%20Rating%20Score%20by%20Genres.png)

Mean of Rating by Genres: Mean of Rating by Genres

distrbution by prime genres:  distrbution by prime genres

user rating of Apps by genres: user rating of Apps by genres.

Mean of Rating Apps Count by Genres: Mean of Rating Apps Count by Genres

user ratings distribution by score: user ratings distribution by score

Pairplot of paid games: Mean of Rating by Genres

pairplot of FREE games, and other various interesting visualizations are in the jupyter notebook.

Find me at GitHub: ShaCode256@ -First assignment in computer science and mathematics studies at Ariel University, second year.

About

Analyzing Apple store's data. many interesting observations!

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages