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Portfolio

Hey! I'm Francisco! Welcome to my Data Analytics Projects Portfolio! This repository showcases a collection of data analytics projects that I have worked on, demonstrating my skills in data cleaning, data visualization, statistical analysis, etc. Each project includes a detailed analysis, code, and visualizations.

Projects

1. Bike Share Analysis - Cyclistic - How to convert casual riders into annual subscribers?

  • Description: Analyzed bike share data to identify usage patterns among different types of members.
  • Skills: Data cleaning, exploratory data analysis (EDA), data visualization.
  • Tools: R, Tableau
  • Link: Bike Share Analysis - Cyclistic

2. Sales Data Analysis - coming soon

3. Forest Fires in Portugal - coming soon

Getting Started

To get started with any of the projects:

  1. Clone the repository:

    git clone https://github.com/franciscorcastro/Projects.git
  2. Navigate to the project folder:

    cd Projects/project-folder-name
  3. Follow the instructions in the project's README.md to set up the environment and run the code.

Requirements

  • Spreadsheets app: You can use either Microsoft Excel or Google Sheets. Check out Techradar.
  • R: Required for projects using R scripts. Install from CRAN.
  • Tableau Public: Free account required for creating visualizations. Create one on Tableau Public.
  • Power BI: Paid subscription required for creating reports and dashboards. (free trial available). Check out Power BI.
  • Additional libraries: Each project may require specific libraries. Please refer to the project's README.md for details.

Contact

If you have any questions or suggestions, feel free to contact me:

License

This repository is licensed under the MIT License. See the LICENSE file for more details.

About

Welcome to my Data Analytics Projects Portfolio! This repository showcases a collection of data analytics projects that I have worked on, demonstrating my skills in data cleaning, data visualization, statistical analysis, etc. Each project includes a detailed analysis, code, and visualizations.

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