Presenting your data in a visual context is a way of helping people to understand the significance of the data; the below describes how international data available via UKDS.Stat could be visualised:
Creating a static data visualisation within UKDS.Stat
UKDS.Stat itself includes a dynamic charting and mapping tool allowing you to create line charts, bar charts, choropleth maps and scatter plots using the current data selection. The charting engine is limited to work with 25,000 data points - data selection can be carried out in your table before creating a chartmap. The table dimension and variable selections are reflected in the chart/map you create. The UKDS.Stat User guide provides further information on using the visualisation features within UKDS.Stat – and remember, #CiteTheData!
Generating data visualisations from API queries
In addition to the visualisation facilities within UKDS.Stat, data can also be extracted via API using our SDMX-JSON web service and fed into an appropriate visualisation tool.
Creating visualisations from CSV formatted data
Data from UKDS.Stat can also be downloaded into a CSV format file from where it can be visualised using a tool like Dimple.JS.
The following is an image of an example step chart created with Dimple.JS from a CSV download of International Monetary Fund International Financial Statistics data from UKDS.Stat:-