visualisation; help understand and communicate
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Course on Participatory Planning, Monitoring and Evaluation (PPME), 20 March 2013,TRANSCRIPT
Visualisation
Help understand and communicate
Course on Participatory Planning, Monitoring and Evaluation (PPME)
20 March 2013, Mirjam Schaap @mirjamschaap
Our problem
Dusty reports .....
We want to show all
not very effective ->
help people understand & act on our findings?
tell stories that strengthen the information you want to get across
use visuals in telling your story
Graphic by Paul Scruton
Source: the Guardian
Elements in data visualisations
When (temporal) Where (geospatial)
What (topical)
With whom (network analysis)
WHEN
Trends—e.g. fertility rate Patterns—e.g. seasonality in flu cases
Correlations—e.g. safe drinking water – child mortality
example when – LINE GRAPHS
http://datamarket.com/data/set/15r6/fertility%E2%80%90rate%E2%80%90total%E2%80%90births%E2%80%90per%E2%80%90woman#!display=line&ds=15r6!hrt=1t.22.2g.45.4s.3d.m.5n
example when - HISTOGRAM
Based on: Katy Börner - ivMOOC
WHERE – map types
General reference maps Topographic maps Thematic maps
● Physio‐geographical maps ● Socio‐economic maps
1854
John Snow
Snows choleramap
Water pumps Cholera deaths -> visualising helps analysis
http://www.guardian.co.uk/news/datablog/interactive/2013/mar/15/cholera-map-john-snow-recreated
Worldmapper.org
1932
Henry Beck - 1933
Map types
Proportional symbol map Chloropleth map
Based on: Katy Börner - ivMOOC
Map types
Heat maps
cartograms
Map types
Flow maps
From: Dat Visualisation: a successful design process. Andy Kirk. Image (left) republished from the freely licensed media file repository Wikimedia Commons, source: http://en.wikipedia.org/wiki/File:FrancePopulationDensity1968.png Image (right) from "The Good and The Bad [2012]" (http://www.theusrus.de/blog/ the-good-the-bad-22012/) by Martin Theus
Graphic Variable Types Data Scale
Position: x, y, z axes
Form • Size • Shape • Orientation
Color • Value (lightness / shade) • Hue (tint) • Saturation (intensity)
Quantitative
Quantitative
qualitative qualitative Quantitative
qualitative Quantitative
http://colorbrewer2.org
Based on: Katy Börner - ivMOOC
WHAT
wordclouds
WITH WHOM - networks
visualisations facebook
WITH WHOM – nodeXL network visualisation
Guardian datablog production process
Share data Spread sheets
Perform calculations on data
output
Nice websites
Visualisation
https://drawingbynumbers.org/
http://www.scimaps.org/
http://www.guardian.co.uk/news/datablog
http://datamarket.com/
http://vizthinker.com/
http://www.dataviz.org/
http://visual.ly/
http://www.creativebloq.com/design-tools/data-
visualisation-712402
http://www.tableausoftware.com/
Geographic Visualisations
http://worldmapper.org
http://www.gapminder.org/data
http://spatialanalysis.co.uk/
Social Network Analysis
http://gephi.org/
http://nodexl.codeplex.com/
Free courses
http://ivmooc.cns.iu.edu/
http://knightcenter.utexas.edu/
https://www.coursera.org/#course/sna
credits
Structure and approach based on Information Visualisation MOOC, Indiana University, Katy Börner
Guardian datablog
Albert Cairo’s MOOC data visualisation
London tube maps: http://randomwire.com/new-london-tube-map-proposal
Venezuela key indicators infographic: Paul Scruton
9 Ways to Visualize Proportions – Nathan Yau http://flowingdata.com/2009/11/25/9-ways-to-visualize-proportions-a-guide/
Iraq after the invasion http://www.guardian.co.uk/news/datablog/2013/mar/14/iraq-ten-years-visualised
Maps France: Image (left) republished from the freely licensed media file repository Wikimedia
Commons, source: ttp://en.wikipedia.org/wiki/File:FrancePopulationDensity1968.png Image from "The Good and The Bad [2012]" by
Martin Theus http://www.theusrus.de/blog/ the-good-the-bad-22012/
Enjoy visualising !
www.wageningenUR.nl/cdi
www.facebook.com/CDIwageningenUR
www.twitter.com/CDIwageningenUR