Python-based PlayStore app analysis: Created dataframe, check schema, clean data, extract top reviews, identify top 10 installs, visualize category distribution.
This project focuses on analyzing the PlayStore application data using Python and various data analysis techniques. The goal of this project is to provide insights into the PlayStore ecosystem by performing tasks such as creating a dataframe, checking the schema, data cleaning, extracting top reviews, identifying the top 10 installed apps, and visualizing category-wise distribution.
The PlayStore Application Analysis Project is a Python-based project that leverages data analysis techniques to gain meaningful insights from the PlayStore application dataset. The project demonstrates the use of pandas, a powerful data manipulation library, and other Python libraries to perform various tasks.
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Create Dataframe: The project demonstrates the creation of a dataframe using the PlayStore application dataset, enabling efficient data manipulation and analysis.
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Check Schema: It provides functionality to check the schema of the dataframe, ensuring data consistency and allowing further analysis based on the available columns.
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Data Cleaning: This project showcases data cleaning techniques, including handling missing values, removing duplicates, and addressing inconsistent data entries, resulting in a clean and reliable dataset.
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Top Reviews: It extracts the top reviews given to different apps, allowing users to gain insights into the popularity and user satisfaction of various applications.
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Top 10 Installed Apps: The project identifies and ranks the top 10 most installed apps from the dataset, giving an overview of the most popular applications on the PlayStore.
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Category-wise Distribution: It visualizes the distribution of apps across different categories, providing a clear understanding of the popularity and prevalence of various app categories.
To use this project, follow these steps:
- Clone the repository to your local machine.
- Install the required dependencies listed in the
requirements.txtfile. - Run the
main.pyscript to execute the PlayStore application analysis tasks. - Explore the generated results, visualizations, and insights.
Feel free to modify the code according to your specific requirements and dataset.
Contributions to this project are welcome! If you encounter any issues or have suggestions for improvements, please submit a pull request or open an issue on the GitHub repository.
This project is licensed under the MIT License.
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