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Ewan Klein edited this page Jul 14, 2015
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Use map of Edinburgh as the scaffolding, with different layers and aspects contributed by different data sets and visualisations.
Example data:
- density of businesses vs residential
- traffic accidents
- transport options
- air quality
- reviews e.g. from Yelp, Foursquare etc
- subjective questionnaire data
Visualisations:
- Point location
- Tree maps
- Chloropleth maps
- Heat maps
- Voronoi tesselations
These aren't in any particular order
- overview of tabular data; sorting, grouping, summing
- data cleaning
- how to find and store data
- personal, sensitive, non-personal; DPA
- open data, copyright, licensing, FOI
- simple statistics (mean, median, mode; standard deviation; sampling)
- overview of graphs and charts and how to make them
- geocoded data; coordinate systems
- handling GPS track data
- putting data on a map
- types of map (e.g. chloropleth, heat map)
- consuming and processing data from Twitter API
- data visualisation tools