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Google Play Store App Launch Study

Why did I build this project?

  • To Learn and Understand Python
  • To Learn Data Visualization in Python

What problem does it solve?

  • It answers many of the questions regarding the various attributes of the dataset

What did I learn?

  • To use Python's modules to perform various visualization from the Google Play Store Dataset
  • Learned Pandas to read the dataset
  • Learned Matplotlib to make various visualization of the given data to further understand and compare categories well

Contributer's:
Rhea Sera Rodrigues
Harsh Gandhi
and Myself


Google PlayStore App launch Study

We did an analysis on the the Google play store App Dataset Answering Various Questions

Below is the Preview of the main screen

Snap Went To Update :|

Some of the Questions Answered with Ther Outputs

  1. All those apps , whose android version is not an issue and can work with varying devices ,
    what is the percentage increase or decrease in the downloads

  2. Snap Went To Update :|
  3. An interface where the client can see the reviews categorized as positive.negative and neutral ,once they have selected the app from a list of apps available for the study

  4. Snap Went To Update :|
  5. What is the number of installs for the following app sizes.
    1. Size between 10 and 20 mb
    2. Size between 20 and 30 mb
    3. More than 30 mb

  6. Snap Went To Update :|
  7. All those apps who have managed to get over 1,00,000 downloads, have they managed to get an average rating of 4.1 and above
  8. Snap Went To Update :|

About

In this Study, To answer the Questions on the given Dataset we have used pandas, matplotlib and tkinter for the GUI

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