https://github.com/cyberoctane29/cyclistic-bike-share--analyzing-rider-behavior
Analyzed Cyclistic's bike-share data to uncover usage differences between casual riders and annual members. Utilized SQL and MySQL for data processing, R for statistical analysis, and Kaggle for collaboration. Insights will guide marketing strategies to convert casual riders into annual members.
https://github.com/cyberoctane29/cyclistic-bike-share--analyzing-rider-behavior
data dataanalysis dataanalytics database rlanguage rmarkdown spreadsheet sql
Last synced: about 2 months ago
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Analyzed Cyclistic's bike-share data to uncover usage differences between casual riders and annual members. Utilized SQL and MySQL for data processing, R for statistical analysis, and Kaggle for collaboration. Insights will guide marketing strategies to convert casual riders into annual members.
- Host: GitHub
- URL: https://github.com/cyberoctane29/cyclistic-bike-share--analyzing-rider-behavior
- Owner: Cyberoctane29
- Created: 2024-09-30T11:54:33.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T04:53:56.000Z (6 months ago)
- Last Synced: 2024-11-13T05:28:15.791Z (6 months ago)
- Topics: data, dataanalysis, dataanalytics, database, rlanguage, rmarkdown, spreadsheet, sql
- Language: RMarkdown
- Homepage: https://www.kaggle.com/code/saswatsethda/cyclistic-bike-share-analyzing-rider-behavior
- Size: 13.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Cyclistic Bike Share: Analyzing Rider Behavior - Capstone Project
## Overview
Welcome to my capstone project repository for the Google Data Analytics Professional Certificate! This project showcases my ability to apply data analytics techniques, using a combination of SQL, spreadsheets, and R programming, to derive insights from real-world data. The project was originally created as a notebook on Kaggle and then adapted to GitHub, where I present the analysis, visualizations, and actionable insights.
## Project Description
This project analyzes bike-sharing data from Cyclistic, a fictional bike-share company, to understand rider behavior and identify trends. The key focus is on the use of SQL for data analysis, spreadsheets for data cleaning and transformation, and R for visualizing the results.
The analysis involves:
- **Data Cleaning & Processing**: Using SQL and spreadsheets for data cleaning and preparation.
- **Analysis**: SQL queries for exploring trends, patterns, and insights within the data.
- **Visualizations**: Using R to generate meaningful visualizations to communicate the analysis results effectively.
## What’s Included:
- **R Markdown File**: This file outlines my analytical approach, integrating SQL query results and processed spreadsheet data, and includes R-coded visualizations.
- **Data Files**: SQL query results and processed data from spreadsheets used for visualizations.
- **Knitted HTML & PDF**: Two formats of the full final report, as originally formatted on Kaggle, with code, explanations, and visualizations.
## Project Deliverables
- **R Markdown File**: Provides a detailed walkthrough of my analysis, integrating SQL results and spreadsheet data with R-coded visualizations.
- **Data Files**: Contains the raw SQL query results and processed data files from spreadsheets.
- **Final Reports (HTML & PDF)**: Reflects the full final analysis, as it was originally presented on Kaggle, with all code, visualizations, and explanations.
## Key Findings & Recommendations
At the end of the project, I provided actionable insights for stakeholders:
- **Targeted Recommendations**: Based on stakeholder questions, I provided recommendations to help the company improve its operations.
- **Next Steps**: I outlined actionable steps to implement the recommendations and maximize insights for business growth.
## Technologies Used
- **SQL**: For data cleaning, processing, and analysis.
- **Spreadsheets**: For additional data processing and manipulation.
- **R Programming**: For creating visualizations to highlight trends and insights.