There are hundreds of visualisation tools and packages used by researchers at University of Oxford and beyond. The IDN cannot hope to be a reference or a recommendation engine for all of these solutions. For a birds eye view of what tools are available you might find this resource useful: http://www.visualisingdata.com/resources/.
In general, visualisation tools fall into one of two categories:
The IDN offers advice, support and consultancy in building interactive data visualisations that meet the following conditions:
<iframe></iframe>
)Additionally, the IDN provides Shiny app hosting for University of Oxford researchers - which you may read about on the IDN Shiny Apps page.
Plot.ly is a website that allows users to create interactive data visualisations in the web browser with a very easy to use point and click interface. With a free account it is only possible to create public visualisations with the underlying data also made publically available.
The actual visualisation magic behind the plot.ly website comes from the underlying JavaScript library, plotly. There is a high-level binding to the plotly library available in both R
and python
, which is described in detail here. You’ll find many examples of visualisations built using the plotly
htmlwidget
library using R
in this website, particularly in the charts section
We have a page dedicated to R
Great
We have a page dedicated to Tableau