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Digital dissemination of statistics: Focus on data visualisation - 2024

Digital dissemination of statistics: Focus on data visualisation 
Course LeaderThomas Ruigrok
Target GroupESS staff with some basic knowledge of data visualisation
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
Objective(s)

Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience:

  • Various means of content visualisation (infographic, video, animation, etc.);

•     Different ways of using infographic, video, animation

•     The do’s and don'ts of content visualisation

•     How to display your own content and organise it effectively

•     How the media use visual material

  • Familiarize participants with open-source data visualization tools commonly used in statistics.
  • Equip participants with the necessary skills to effectively analyze and present statistical data using open-source tools.
Contents

Pictures often say more than 100 words. But pictures can also be superficial and fail to convey the nuances inherent in good statistics. How can you display your news in a way that does justice to the professionalism of a statistical organisation?

  • Data visualisation: introduction
  • Crafting data visualisations
  • Hands-on session
  • Online data publishing and animation
  • Introduction to popular open-source data visualization tools for statistical analysis (e.g., R, Python libraries like Matplotlib, Plotly, seaborn
Expected OutcomeUnderstanding of what distinguishes good data visualisations Be able to apply the rules of good data visualisation. Tools to create visualisations. Be able to develop and tailor visualisations and data stories to different audiences and publication channels.
Training Methods
  • Presentations and lectures
  • Exchange of views/experiences on national practices
  • Exercises/Livecharts
  • Creation of social media-messages
  • Tour of the floor and studio
Required ReadingNone
Suggested ReadingFrederic Clarke, (2017), Visualising Big Data for Official Statistics: The ABS Experience (Australian Bureau of Statistics, Australia) and Chien-Hung Chien (Australian Bureau of Statistics, Australia)
Required PreparationIn order to apply the learning materials to the participants’ own work and experience, each participant should bring a visualisation (or publication containing visualisations) of their own production to class, preferably digital.
Trainer(s)/

Lecturer(s)		Thomas Ruigrok (CBS Netherlands)

 

 

 

PRACTICAL INFORMATION

 

    
WhenDurationWhereOrganiserAPPLICATION VIA National Contact Point
17–19.09.20243 daysThe Hague, Netherlands

ICON INSTITUTE

 

Public Sector GmbH

Deadline: 22.08.2024