https://github.com/mysto-007/cyclistic-bike-share-analysis

Analyzed the dataset of Cyclistic Rental Service as the Capstone project for Google Data Analytics SpecializationAnalyzed the dataset of Cyclistic bike-share (Capstone project for Google Data Analytics Specialization)
https://github.com/mysto-007/cyclistic-bike-share-analysis

bigquery data-analysis excel ms-sql-server sql tableau tableau-public

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Analyzed the dataset of Cyclistic Rental Service as the Capstone project for Google Data Analytics SpecializationAnalyzed the dataset of Cyclistic bike-share (Capstone project for Google Data Analytics Specialization)

• Host: GitHub
• URL: https://github.com/mysto-007/cyclistic-bike-share-analysis
• Owner: mysto-007
• Created: 2023-07-30T19:36:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-30T20:17:23.000Z (over 1 year ago)
• Last Synced: 2024-10-12T07:40:16.816Z (about 1 month ago)
• Topics: bigquery, data-analysis, excel, ms-sql-server, sql, tableau, tableau-public
• Homepage:
• Size: 30.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cyclistic bike-share analysis project

 Tableau visualization : https://public.tableau.com/app/profile/hanan.saeed/viz/Cyclistic_bike-shareCapstoneProjectGoogleDataAnalytics/Dashboard1

 

• SQL Queries used are in the project repository:  https://github.com/mysto-007/PortfolioProjects/tree/main

A detailed and thorough step-by-step analysis process performed on the Cyclistic bike-share dataset to answer the following stakeholder questions:

How do annual members and casual riders use Cyclistic bikes differently?

Why would casual riders buy Cyclistic annual memberships?

How can Cyclistic use digital media to influence casual riders to become members?

Dataset was orginally taken from https://divvy-tripdata.s3.amazonaws.com/index.html (Only for year 2021)

The data i used can be found in the drive line, there are two files, 1 is dirty data and other is manipulated_data,

(which i maipulated for the analysis) : https://drive.google.com/drive/folders/1QZEYla_QPiWwtHHqmDTjkNnAN_CaExyt?usp=sharing

Analysis procedure:

Downloaded all the data from the above cited site

Manipulated data a bit 

Imported in the MS SQL SERVER

Combine into 1 complete superset

Clean-up

Analyze

Create visualization in Tableau

Technologies used:

• Excel

• MS SQL SERVER/SQL

• Tablaeu