Exploratory Data Analysis:

The analysis relies on several libraries, namely Pandas, Numpy, Matplotlib, Seaborn, and Opendatasets. The dataset used in this project is the Google Playstore dataset, which encompasses information on more than 100,000 apps in the Play Store. The dataset's size is 207 MB (unzipped 645 MB) and is sourced from Kaggle.

The project's objective is to explore and understand EDA concepts, with a focus on delivering insights that help developers better understand customer demands, and thereby popularize their apps. The project is structured as follows:

1. Download the dataset from Kaggle.
2. Prepare and clean the data.
3. Conduct exploratory analysis and visualizations.
4. Address questions and provide answers.
5. Summary and Conclusion.

1. Download the dataset from the Kaggle:

To begin, we’ll download the dataset.

Google-Play-store-Dataset https://www.kaggle.com/datasets/gauthamp10/google-playstore-apps

Let’s install and import the libraries