Applications and tools

New page started, contributions welcome

Example open data-based applications in South Africa

Wazimaparrow-up-right visualises Stats SA Census 2011 and Community Survey 2016 data

South African Cities Open Data Almanac (SCODA)arrow-up-right is launching a new version soon

BioEnergyarrow-up-right Atlas decision-support tool uses infrastructure and natural resource data

Durban EDGE Open Data Portalarrow-up-right runs regular data stories on economic topics

Medicine Pricing Registryarrow-up-right draws on medicine pricing data from the NDoH

Planning for Informalityarrow-up-right uses planning and performance data from cities

Municipal Moneyarrow-up-right and Vulekamaliarrow-up-right visualises fiscal data from Treasury

Transport apps like GoMetroarrow-up-right have drawn on open data from cities

Open Gazettesarrow-up-right and Laws.Africaarrow-up-right make it easier to view legal and legislative data

SAAQISarrow-up-right air quality index and dashboard draw on air quality data

Regional eXplorerarrow-up-right and EasyDataarrow-up-right economic intelligence tools draw on Stats SA data

Visualisation and storytelling

For visualisation, there are many to try out like Flourisharrow-up-right and Datawrapperarrow-up-right. If you're more technical and using Python or R, have a look at this summary of librariesarrow-up-right.

Have a look at these storytelling tools from Knightlabarrow-up-right including Timelinearrow-up-right, StoryMaparrow-up-right, Soundcitearrow-up-right and Juxtaposearrow-up-right.

For creating infographics, there are tools like Infogramarrow-up-right.

For mapping relationships or networks as a story try GraphCommonsarrow-up-right, see this examplearrow-up-right of three musicians in a recording ecosystem. Kumuarrow-up-right is also popular for network visualisation.

Extracting and cleaning data

If you want to get data tables out of PDFs you can try Tabulaarrow-up-right, pd3farrow-up-right, or Excaliburarrow-up-right/ Camelot.

OpenRefinearrow-up-right is good for cleaning data.

If you want to extract and analyse text in articles or books (e.g. to identify people and places) there are lots of tools to try like TextRazorarrow-up-right, Intellexerarrow-up-right and Google's Natural Languagearrow-up-right.

Mapping spatial data

For mapping, something like Keplerarrow-up-right is easier to use. For more detail on other tools and working with spatial data see this page.

Last updated