https://github.com/s1dewalker/airbnb-listings-nyc

Exploratory Data Analysis | SQL, Tableau, Python
https://github.com/s1dewalker/airbnb-listings-nyc

airbnb-listings dashboard data-analysis data-analysis-project data-visualization exploratory-data-analysis jupyter-notebook python3 sql sql-server tableau

Last synced: 5 days ago
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Exploratory Data Analysis | SQL, Tableau, Python

• Host: GitHub
• URL: https://github.com/s1dewalker/airbnb-listings-nyc
• Owner: s1dewalker
• Created: 2021-12-04T03:14:01.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-22T04:40:30.000Z (3 months ago)
• Last Synced: 2024-11-22T05:25:20.417Z (3 months ago)
• Topics: airbnb-listings, dashboard, data-analysis, data-analysis-project, data-visualization, exploratory-data-analysis, jupyter-notebook, python3, sql, sql-server, tableau
• Language: Jupyter Notebook
• Homepage:
• Size: 25.2 MB
• Stars: 31
• Watchers: 1
• Forks: 15
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
![](screenshots/nyc_airbnb.jpg)




Exploratory Data Analysis


[Tableau](https://public.tableau.com/views/AirbnbListingsNewYorkCity/Home2?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link) 


[SQL](https://github.com/s1dewalker/Airbnb-listings-NYC/blob/main/SQLQuery_Airbnb_NewYork.sql) 


[Python](https://github.com/s1dewalker/Airbnb-listings-NYC/blob/main/Airbnb%20correlation.ipynb) 


### Viewing the data


* Querying in SSMS (SQL Server Management Studio) using self joins, CTEs, procedures, group by to view the data required


* Data Cleaning

* Data Analysis (Q/A)

* Data Transformation for dashboard visualization


### Dashboard


* Overview: listings, accomodations available, average price($), average rating, and total reviews info per borough


![](screenshots/Screenshot1.png)

* Filtering: Giving the options to find the desired location and attaching the links to the website for more details


![](screenshots/Screenshot2.png)

* Key Insights: Displaying the insights on the boroughs, room types, prices, reviews, and hosts


![](screenshots/Screenshot3.png)

* Superhosts v Non Superhosts: Figuring out the edge of superhosts


![](screenshots/Screenshot4.png)


### Tech Stack


* Excel

* SQL (SQL Server Management Studio)

* Tableau

* Figma

* Mapbox

* Python (pandas, seaborn, matplotlib)





*hope you find it helpful, and encourage you to forward any suggestions for improvements* 


##### [LinkedIn](https://www.linkedin.com/in/sujay-bhaumik-d12/)