Tableau BUFFER functions - a complete TUTORIAL on using buffers for spatial analysis
In this in-depth tutorial I walk through how to use various Tableau spatial functions (Buffer, MakePoint, Distance) as part of an interactive geospatial analysis to determine how many Airbnbs there are within 500 metres of EV charging points in London.
💾 Data sources
Airbnb data: http://insideairbnb.com/get-the-data....
Charging points: https://data.gov.uk/dataset/1ce239a6-...
📊 Interact with and download a complete dashboard with more functionality: https://tabsoft.co/3sHLdMh
📑 Blog post: Geospatial Analysis with Map Layers: https://bit.ly/313eBV0
🗺 If you're new to Tableau map layers, you may want to watch this introductory video first:
• Tableau Map Layers - an in-depth TUTO...
📌 Chapters
00:00 - Introduction - Using buffers for interactive spatial analysis
00:22 - Data sources used
00:41 - Connect to Airbnb data
00:59 - MakePoint function to create Airbnb points
01:46 - Connect to Charging Point data
02:57 - Add Charging Point data as a second connection
03:14 - Create a spatial join using join calculations
04:22 - Explanation of spatial joins with buffers and points
05:30 - Add charging points to the view as a new marks layer
06:11 - Radial select tool to confirm distance of points
06:30 - Add a filter to reduce the number of marks
06:55 - Use the Distance function to show the distance in the tooltips
07:37 - Add Buffers to the view as a marks layer
08:10 - Re-order the map layers by drag and drop
08:19 - Change aggregation of Distance to Min
09:02 - Updating the join calculation to change the buffer size
10:22 - Make buffers dynamic with a parameter
11:11 - Create an in-range calculation to format Airbnb points
11:59 - View underlying data for two points
13:01 - Calculate the total Airbnbs in range of charging point
14:41 - More developed example with additional features
🔗 Social Media Links
Blog: https://datavis.blog ➝ Tableau tips and tutorials
Twitter: / datavisblog
Portfolio: https://public.tableau.com/app/profil...
LinkedIn: / marcreiduk
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