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The dataset is all taken from Google App Store taking the data about the App Rating using the Web Scraping. Then the data analysis on the dataset.

Home Page: https://colab.research.google.com/drive/1udnD3sjfe_wXfL5z70P6uRfILsf924dL?usp=sharing

License: MIT License

Jupyter Notebook 100.00%

data-analysis-of-google-apps-rating's Introduction

Data-Analysis-of-Google-Apps-Rating

The dataset is all taken from Google App Store taking the data about the App Rating using the Web Scraping. Then the data analysis on the dataset.

How to run the code

This tutorial is an executable Jupyter notebook hosted on Jovian. You can run this tutorial and experiment with the code examples in a couple of ways: using free online resources (recommended) or on your computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing the code is to click the Run button at the top of this page and select Run on Binder. You can also select "Run on Colab" or "Run on Kaggle", but you'll need to create an account on Google Colab or Kaggle to use these platforms.

Option 2: Running on your computer locally

To run the code on your computer locally, you'll need to set up Python, download the notebook and install the required libraries. We recommend using the Conda distribution of Python. Click the Run button at the top of this page, select the Run Locally option, and follow the instructions.

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