Effective data visualisation in statistical dissemination - Introductory course

Effective Data Visualisation in Statistical Dissemination

Course Leader

Nicolas Ruetschi, Ludivine Stofer (Swiss Federal Statistical Office)

ESS staff with knowledge of data visualisation and involved in dissemination production of visualisation and/or consulting.

• Sound command of English. Participants should be able to make short interventions and to actively participate in discussions.

• Interest for data visualisation in statistical dissemination.

• Give participants a better understanding of how to transform statistical data into effective, data-driven, open, timely and user-friendly information objects. How to make complex data understandable with a visual object and define a storytelling.

• Discover the method for choosing the right visualisation, learn about tools and frameworks adapted to produce visualisations and best practices with guidelines and processes.

• Basic knowledge of data visualisation

• Nature of data and graphical variables

• Visualisation types: charts, maps, tables, icons

• Storytelling, target audience

• Tools and frameworks

• Chart chooser

• Visualisation tools

• Guidelines and processes

• Use cases

• Analysis of concrete daily cases

• Learn the basics of data visualisation. 

• Be able to choose the right visualisation for the right message and audience. 

• Discover the different tools and frameworks for creating visualisations. 

• Have an understanding of best practices in the guidelines and elaboration processes.

• Presentations and lectures.

• Exchange of views/experiences on national practices.

None

• Each participant should bring a visualisation of their own production to reflect best practices and lessons learned.

Trainers: Nicolas Ruetschi (Federal Statistical Office) 

              Ludivine Stofer (Federal Statistical Office)

Lecturers: Panel of independent experts