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 via YouTube
Overview
Syllabus
Introduction
Inside Airbnb
Data collection
Data visualization
Tutorial introduction
Google Maps
Scatterplot
Point objects
Data Shader
Data Shaded
Big Data
Questions
Examples
Study the data
Outside the notebook
Taught by
EuroPython Conference
