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This repository provides a central location for various datasets collected from online sources. Each dataset includes a brief description of its content, potential applications, and any interesting insights gleaned from a data science perspective.

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This repository provides a central location for various datasets collected from online sources. Each dataset includes a brief description of its content. These datasets can be used for educational purposes, research, analysis, and more. The repository aims to provide a diverse collection of datasets to cater to different interests and needs.

Datasets

Name Description
Website Performance This dataset contains web traffic and user engagement metrics, including session data, user engagement, and event counts. The primary objective is to analyze and optimize web traffic and user engagement, focusing on session analysis, user engagement analysis, channel performance, and website traffic forecasting.
Market Size of EVs This dataset contains information on the market size of electric vehicles (EVs) in the United States. The dataset includes details on EV registrations, vehicle models, manufacturers, electric range, and pricing. The primary objective is to analyze historical EV registration data, forecast future market growth, and identify key trends driving market expansion.
Global Stock Price This dataset contains historical stock price data for various companies listed on different stock exchanges. The dataset includes opening, closing, highest, and lowest stock prices, along with adjusted closing prices. The primary objective is to analyze stock price trends, identify patterns, and forecast future stock price movements.

Acknowledgements

  • Statso, a data-driven business consulting services. They are specialized in providing data-driven insights to help businesses grow, they leverage data to provide insights that help businesses make better decisions and build a successful data-driven business models.
  • Kaggle, a platform for predictive modeling and analytics competitions in which companies and researchers post data and statisticians and data miners compete to produce the best models for predicting and describing the data.

How to Contribute?

We'll be happy to accept contributions to this repository. If you have any interesting datasets that you would like to share with the community, please feel free to create a pull request with the dataset and a brief description. We appreciate your contributions and look forward to growing this repository with your help.

License

This repository is licensed under the Unlicense License. See LICENSE for more information.

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This repository provides a central location for various datasets collected from online sources. Each dataset includes a brief description of its content, potential applications, and any interesting insights gleaned from a data science perspective.

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