Final_Project:

Analysis of Bike-Share company in Chicago with Prediction models of the rides and the accidents

Introduction:

• The project is about analysing the data for a bikeshare company that is located in Chicago.
• The data is for the the year 2023, and it is about 5.6 million rows

Dataset Sources:

1. Analysis Purpose Datasets:

• Bike rides dataset from Divvy company’s website: https://divvy-tripdata.s3.amazonaws.com/index.html
• Temperature dataset.

2. Predictive Models Datasets:

• Accidents dataset from Chicago Data Portal (CTP): https://data.cityofchicago.org/Transportation/Ped-Bike-Crashes-by-Month/sd9z-2f4z
• Police station locations in Chicago from Chicago Data Portal (CTP).

Sections of my projects:

1. First Part: Analysis of Divvy Bike-Share company in Chicago
2. Second Part: Prediction of Daily Number of Bike Rides
3. Third Part: Predictive Model For Bike Accidents

Final Presentation :

https://www.canva.com/design/DAGGu1YJj-A/ZoV3-Tv0QEUYIxJFjnP93g/edit?utm_content=DAGGu1YJj-A&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

Tableau viz:

https://public.tableau.com/views/FinalProjectDivvy/Dashboard1?:language=en-US&publish=yes&:sid=&:display_count=n&:origin=viz_share_link