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https://github.com/xjqx/cyclistic-riders-analysis

Analyze how Annual Members and Causal Riders use Cyclistic bikes differently and provide data-driven recommendations for a new marketing strategy to convert Causal Riders to Members. 🚴‍♀️
https://github.com/xjqx/cyclistic-riders-analysis

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Analyze how Annual Members and Causal Riders use Cyclistic bikes differently and provide data-driven recommendations for a new marketing strategy to convert Causal Riders to Members. 🚴‍♀️

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README 

        
# How Does a Bike-Share Navigate Speedy Success?



  logo




![R](https://img.shields.io/badge/R-grey?style=flat-square&logo=R&logoColor=ffffff)

![Excel](https://img.shields.io/badge/Excel-green?style=flat-square&logo=microsoft&logoColor=ffffff)



#### Background Info: https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/Background%20Info.pdf

#### Dataset: https://divvy-tripdata.s3.amazonaws.com/index.html

#### R Documentation: https://xjqx.github.io/Cyclistic-Riders-Analysis/

#### Slide Deck: https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/Slide%20Deck.pdf







## Scenario:

I am a junior data analyst working in the marketing analyst team at Cyclistic, a bike-share company in Chicago. The director of marketing believes the company’s future success depends on maximizing the number of annual memberships. Therefore, my team wants to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, my team will design a new marketing strategy to convert casual riders into annual members. But first, Cyclistic executives must approve my recommendations, so they must be backed up with compelling data insights and professional data visualizations.



#### Business Task:

- How do annual members and casual riders use Cyclistic bikes differently?

- Analyse how annual members and causal riders use Cyclistic bikes differently and provide data-driven recommendations for a new marketing strategy to convert causal riders to members



#### Key Stakeholders:

- **Lily Monero**: Director of Marketing and my manager

- **Cyclistic Marketing analytics team**: Team of data analysts

- **Cyclists executive team**: Stakeholder approving recommendations







## Documentation of Data Analysis Process:

### R Documentation:

- **[R Documentation*](https://xjqx.github.io/Cyclistic-Riders-Analysis/)** 


- [R Code](https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/R%20codes/R-codes.R) 


- [R Markdown Code](https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/R%20codes/R-documentation.Rmd)



### Excel Pivot Table and Chart:

- [Excel Pivot Table](https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/Dataset/pivot-table-chart.xlsx) 


- [Excel Pivot Table Image](https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/Visualisation/excel-pivotchart.png) 


- [Excel Pivot Chart Image](https://github.com/xJQx/Cyclistic-Riders-Analysis/blob/main/Visualisation/excel-pivot-chart.png)







## Conclusion of Analysis:



#### Casual Riders:

- Casual riders use the bikes for **relaxation** and as a **bonding exercise** with family and friends.

  - Casual riders has significantly **higher average ride duration** of than members **throughout the week.**

  - Casual riders use the bikes **more often** on the **weekends** (Saturday and Sunday).

  

- Casual riders use the bikes as a form of exercise in order to meet their **New Year's resolution**.

  - Casual riders **use** the bikes **significantly longer** in the **first few months** of the year.



#### Members:

- Members use the bikes as a **form of transportation** regularly to travel to work/school.

  - Members **use** the bikes **more** compared to casual riders all together.

  - Members use the bikes **more frequently** on **weekdays** (Monday to Sunday).

  - Members are **consistent** in their **riding duration throughout the year.**







## Visualization:

### Comparing Average Number of Rides & Average Ride Duration between Casual Riders and Members:



  chart-res1-1

  chart-res1-2




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### Average Ride Duration & Number of Rides by Type and Weekday:



  chart-res2-1

  chart-res2-2




### Number of Rides Trend for Casual Riders vs Members:



  chart-res2-3

  chart-res2-4




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### Average Ride Duration by Type and Month:



  chart-res3-1





  chart-res3-2

  chart-res3-3




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### Number of Rides Throughout the Month:



  excel-pivot-chart




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## Recommendations:

1. Advertise during **New Year's period** to convince casual riders to convert to members.

2. Encourage casual riders to sign up for membership to use bikes as **alternative mode of transportation**, for **health and environment.**

3. Introduce an **exclusive members' community** with members' only **bonding and relaxation events/activities.**







## Future Improvements:

- [ ] Collect survey data for analysis to better understand the decision-making mindset of casual riders vs members.

- [ ] A larger data set can be used for analyzing longer term trends and behaviors of riders.

- [ ] The start and end stations can be analyzed to see if there are any particular areas that have more members and find the reasons for such occurrences.