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1
Introduction
2
Inside Airbnb
3
Data collection
4
Data visualization
5
Tutorial introduction
6
Google Maps
7
Scatterplot
8
Point objects
9
Data Shader
10
Data Shaded
11
Big Data
12
Questions
13
Examples
14
Study the data
15
Outside the notebook
Description:
Explore data visualization techniques for geographic locations in this EuroPython 2017 conference talk. Learn to create compelling visualizations using Airbnb data from Mallorca as a practical example. Discover how to overlay data on Google Maps using Bokeh, plot shapefiles with Holoviews, and visualize big data with Datashader and Geoviews. Gain insights into creating interactive dashboards for time series data with geographical components. Follow along with hands-on examples and learn to study data both inside and outside Jupyter notebooks, enhancing your skills in representing and analyzing location-based information.

Inside Airbnb - Visualizing Data That Includes Geographic Locations

EuroPython Conference
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