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https://github.com/ejw-data/tableau-citibike

Content used for a Tableau dashboard that explains how men and women differ in their NYC Citibike usage
https://github.com/ejw-data/tableau-citibike

pandas python tableau

Last synced: about 2 months ago
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Content used for a Tableau dashboard that explains how men and women differ in their NYC Citibike usage

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# tableau-citibike

Author: Erin James Wills, ejw.data@gmail.com

![Tableau Banner](./images/citibike-tableau.png)
Photo by [Robinson Greig](https://unsplash.com/@robinson?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/citibike?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)


## Overview



Content used for a Tableau dashboard that explains how men and women differ in their NYC Citibike usage


## Technologies
* Tableau


## Data Source
Citibike provides data at this S3 bucket: https://s3.amazonaws.com/tripdata/index.html

A zipped version of the file is also provided in the data folder


## Setup and Installation
1. Environment needs the following:
* Python 3.6+
* pandas
1. Clone the repo to your local machine
1. Navigate the terminal to the repo folder
1. Activate your environment
1. Start a Jupyter Notebook and run `citibike-analysis.ipynb`. This notebook only has some data validity checks.
1. The tableau file is too large for github but the content can be viewed at https://ejw-data.github.io/tableau-citibike/.


## Examples

![Board 1](./images/story1.png)

![Board 2](./images/story2.png)

![Board 3](./images/story3.png)

![Board 4](./images/story4a.png)

![Map](./images/map.png)

![Bar chart trip duration](./images/DurationByMonth.png)

![Bar chart number trips per month](./images/RidesByMonth.png)