divvy-bikes
There are 20 repositories under divvy-bikes topic.
Fozan-Talat/divvy-bikeshare-de-project
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
ColemanMitch/Divvy-Bikes-Scraper
A Python utility to scrape and export your Divvy bike data to .csv
nkasimer/Chicago-transit-trackers
Scripts to combine various Chicago transit data feeds
baguilar6174/data-analysis-cyclisticBike
This case study is about a fictitious company, Cyclistic. Where I will answer business questions, following the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share and Act.
GWartelle/DivvyBikesCaseStudy
Data analysis performed on Divvy Bikes' database to convert more users of their bike rental service into subscribers.
MukaddasA/Google-Data-Analytics-Capstone-Project-Cyclistic-Bike-Share-Analysis
A comprehensive analysis and insights derived from the Google Data Analytics Capstone Project focused on Cyclistic, a bike-share program.
Nadiia-analyst/Portfolio_Projects
Portfolio
pranavshivk97/Divvy-Bike-Demand-Estimator
Regression and Decision Tree Analysis of Divvy bike dataset to estimate bike demand based on weather conditions
renegamino012/Google-Data-Analytics-Capstone--Cyclistic-Case-Study
A case study on the fictional bike-share company Cyclistic's trip data, based on Chicago Divvy public dataset.
ruiawang/Lyft-Bikes
Several classifier models to predict non-member vs member rider status based off of ride data for Divvy Bikes users. Trained off of 13 months of past ride data.
ruthhinkle/divvy-analysis
Analysis of Chicago's rideshare biking service, Divvy, in Q3 of 2019.
ruthhinkle/find-a-divvy-bike
Interactive visualization of available bikes and e-bikes at Divvy stations across Chicago.
tam-ng/Divvy_Chicago_BikeSharing
Developed a relational database that will enable quick response and analysis on the current state of Divvy’s operations in regard to ridership, station locations, other factors affecting them. Then built a scoring model to optimize the number of stations and bikes allocated by zip codes
ruthhinkle/project-2-app
Interactive visualization of available bikes and e-bikes at Divvy stations across Chicago via Flask application. Must be run locally to use.
vedantwalia/Google-Data-Analytics-Capstone-Case-Study
This is a repository of my work on data analysis as a part of the Google Data Analytics Capstone
visheshgupta-BA/Divvy-Analytics-for-Bikes-Trips
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.