Dataviz logo
Oxford Consultants for Social Inclusion logo

Opinion ranking

Current rating 3.3/5 Impact: 3Accuracy: 33 votes
Rate this Impact low high Accuracy low high Your level of expertise
What are ratings?

Ratings let you assess a visualisation according to:
 

Impact:
How much a visualisation makes you take notice of it
 

Accuracy:
How well it portrays the true data behind it
 

Rate visualisations according to your own impressions and expertise. We also ask you to let us know how you rate your own level of expertise in terms of data and visualisation, so that we can filter ratings further in future.
 

For more information on ratings and levels of expertise, see our help page.

Opinion ranking
Shows the sample's level of concern about poverty in poor countries. Sample is categorised between the sample's segments (eg., activists, sympathisers).
Level of expertise
Source:
DFID - Public attitudes towards Development (2008): page 40 (Government report)
http://www.dfid.gov.uk/pubs/files/public-attitudes-to-development-2008.pdf
Interactive features
None
Benefits & pitfalls to avoid
  • When using colours to portray data values or types, ensure that the colors used are accessible to all users. Online tools such as ColorBrewer (www.colorbrewer.org) can help identify issues with colours used.
  • 100% stacked bar-charts can mislead users into thinking the data values represented by the different bars are the same (as the heights of the bars are 100%). This needs to be made clear on the visualisation.
Create your own
  • 100% stacked bar charts can be created in a range of standard data applications such as Excel.