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There are more than 3.04 million apps found on Google Play Store. With this project /article we want you to take us through a journey of analyzing various apps found on the play store with the help of different python libraries. Dataset: The dataset is been taken from Kaggle, which can be found in the attachments. App rating, reviews, price, and…

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Sam-ops09/Sam-ops09-Google-app-Rating-Data-analysis

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Google App Rating Data Analysis

This project aims to analyze the Google Play Store app rating data using Python programming language.

Data

The dataset used in this project is "googleplaystore.csv" which can be downloaded from here.

Requirements

This project requires the following libraries:

  • pandas
  • numpy
  • matplotlib
  • seaborn

Installation

To install the required libraries, run the following command:

pip install -r requirements.txt

Usage

To run the project, run the following command:

python app.py

This will generate a number of visualizations that explore different aspects of the data.

Results

The results of this analysis can be found in the "results" directory. This includes a number of visualizations that explore different aspects of the data.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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There are more than 3.04 million apps found on Google Play Store. With this project /article we want you to take us through a journey of analyzing various apps found on the play store with the help of different python libraries. Dataset: The dataset is been taken from Kaggle, which can be found in the attachments. App rating, reviews, price, and…

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