Google Data Analytics Certification Course
This repository contains the code and analysis for the "How Does a Bike-Share Navigate Speedy Success?" case study. The case study involves analyzing bike-share data using R programming and Tableau.
The notebook is available on Kaggle and the visualization is uploaded in Tableau Public
The case study focuses on a bike-sharing company called Cyclistic. The objective is to analyze user behavior patterns and provide business suggestions to convert casual riders to annual members. The analysis includes exploratory data analysis, visualizations, and data-driven insights.
bike_share_analysis.ipynb: Jupyter notebook containing the R code and analysis for the case study.data: Folder containing the dataset used in the analysis.visualizations: Folder containing the visualizations generated during the analysis.
- R programming language
- Tableau for data visualization
To run the analysis locally, follow these steps:
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Clone the repository:
git clone https://github.com/your-username/bike-share-case-study.git
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Open the
bike_share_analysis.ipynb
notebook in a Jupyter environment that supports R (e.g., Jupyter Notebook or JupyterLab).
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Make sure you have the necessary packages and dependencies installed. You can refer to the requirements.txt file for the required packages.
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Execute the code cells in the notebook to run the analysis.
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Extract the final data frame and upload it to Tableau desktop or Tableau public to generate the visualizations.
The analysis provides insights into user behavior, ride patterns, and the factors that influence membership conversion. Based on the findings, several business suggestions are provided to convert casual riders to annual members. These suggestions include offering membership benefits, flexible membership options, targeted marketing campaigns, and enhancing the member user experience.
Feel free to customize the README file to fit your specific case study and provide additional details as needed.