divvy-bikes
There are 0 repository 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
Language:Python 34- Language:SQL 24
ColemanMitch / Divvy-Bikes-Scraper
A Python utility to scrape and export your Divvy bike data to .csv
Language:Python 1nkasimer / Chicago-transit-trackers
Scripts to combine various Chicago transit data feeds
Language:Jupyter Notebook 1baguilar6174 / 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.
Language:Jupyter Notebook 0- 0
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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.
Language:TSQL 0Nadiia-analyst / Portfolio_Projects
Portfolio
Language:Jupyter Notebook 0pranavshivk97 / Divvy-Bike-Demand-Estimator
Regression and Decision Tree Analysis of Divvy bike dataset to estimate bike demand based on weather conditions
Language:Jupyter Notebook 0renegamino012 / 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.
Language:HTML 0ruiawang / Divvy-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.
Language:Jupyter Notebook 0ruthhinkle / divvy-analysis
Analysis of Chicago's rideshare biking service, Divvy, in Q3 of 2019.
Language:Jupyter Notebook 0Interactive visualization of available bikes and e-bikes at Divvy stations across Chicago.
Language:HTML 0tam-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
0Interactive visualization of available bikes and e-bikes at Divvy stations across Chicago via Flask application. Must be run locally to use.
Language:HTMLvisheshgupta-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.
