Visual Analysis for Data Science
summary
Presents visual analytics applied to diverse datasets: heart-rate data from exercise, player positions and pass sequences in soccer, comparative aerial vegetation images for climate variation, taxi traffic dynamics, visual monitoring of bike-share systems, comparative hotel user opinions, visual analysis of movie reviews, and clustering people with similar tastes. Describes using visualization techniques and visual analytic methods to extract insights from large, varied data sources.
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chapters (24)
- 0:00Intro
- 0:30My Background
- 3:34Visualizing Heart Rate Data in Running Races
- 4:09Data: GPS and Heart Rate Monitors
- 4:37Displaying Multiple Heart Rate Plots
- 5:14Linear Heatmaps: one runner per line
- 8:33NYC Central Park: Clustering exercises
- 10:35Remote Monitoring of Forest Ecosystems
- 11:17Phenological phases: Average per image
- 14:43Data exploration
- 17:13Soccer Match Analysis
- 17:44Mapping 2D player positions to colors
- 18:33Stacking positions in time
- 19:21Analyzing a match
- 22:29Pass Analysis
- 26:32Bike-Sharing Data for multiple stations
- 28:20Bike-Sharing Data for trips
- 29:43Estimating traffic direction from taxi data
- 30:31Traffic orbits
- 31:07Multidimensional Projection
- 32:12Evolution Trails
- 33:03Review Information: TripAdvisor
- 33:46Ratings with Aspects
- 37:16Movielens Dataset (Ratings by Movie Genre)
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