The ESS Data Visualisation is a 1.5-day Workshop organised by Eurostat and aims at increasing the awareness of the visualisation issue in the ESS, to identify emerging best practices, to identify synergies and options for joint development efforts.

The target is to foster the use of visualisation in official statistics by sharing best practices, new ideas, tools and experiences.

Three main topics subject of discussions and lectures by experts:

Visualisation, data journalism and fact checking A focus on data journalism and fact checking.
Alberto Cairo Data visualisation journalist and designer

Data viz and users’ literacy (statistical and visual) Users' literacy applied to both statistical field and to the data visualisation.ù
Valentina D'Efilippo Information design / Dataviz / Creative direction

Visualisation, conventions and creativity (how does the balance between conventions, and the need to be understood, and the creativity of the process work together?) Need for balance between the creativity of visualisations, the conventions from the field and the understandability of the data.
Daniela Panosetti - Journalist, semiologist, qualitative researcher


PARALLEL GROUP SESSIONS will be organised around the topics below.

  • Visualisation strategies - this session will be focused on the main aspects of the coming trends in visualisation, which directions will be taken in the future and how can we prepare for this? How do we get insight in user’s needs for visualisations? How do we measure success in dissemination, data visualisation and communication?
  • Methodologies and techniques for creating visualisations - which methodologies are used to create attractive and innovative visualisations? (Agile project management, sprints, co-design, etc.) This session will discuss experiences and best practices.
  • Stories of data: visualisation, statistics and storytelling - using data in an engaging and interesting manner is crucial for an effective communication. The relationship between these three aspects is treated in this session.
  • Ethics of visualisation - the aspect of ethics is very sensitive and can be linked to various aspects related to visualisation. Best practices and concrete cases will be shared in this session
  • Visualisation and usability  creating engaging and easy-to-use products are the main objectives for an effective communication. How do we include people with disabilities?
  • Visualisation, perception and neurocognitive models - more specifically, neurocognitive models are treated in this session, following a scientific approach
  • Data visualisation for social media - social media are the most used channels and data visualisation is specifically adapted to these channels. Best practices and models are shared in this session
  • Dissemination channels and visualisation - different dissemination channels may require different visualisations. Both traditional and digital channels for dissemination area treated in this session
  • How to visualise data quality -Data are important but conveying the quality of the data is as important. How do we show users the quality level of indicators (errors, confidence intervals). Their communication and visualisation may requires an ad-hoc focus 
  • Working with data journalists and how to make our products catchy to the media - data journalism represents an interesting and growing trend in visualisation and communication
  • Visualisation tools - the wide variety of communication tools for visualisation requires having a clear overview of the main categories of visualisation tools, based on the communication needs and target audience