visualisation; help understand and communicate

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

www.colorbrewer.org

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

mirjam.schaap@wur.nl