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divvy-bikes

Here are 27 public repositories matching this topic...

An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect

  • Updated Apr 29, 2023
  • Python

This project is to use Tableau to visualize the usage patterns of Divvy bikes in Chicago. By analyzing the trip data provided, we can gain insights into when, where, and how bikes are being used. This information can be useful for Divvy and the City of Chicago in planning future bike infrastructure and promoting sustainable transportation options.

  • Updated May 2, 2023

This case will perform data analysis for a fictional bike-share company in order to help them attract more riders. To achieve this, I will perform the typical tasks of a junior data analyst and follow the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share, and Act.

  • Updated Aug 12, 2025

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