Find out all the data on the teams for the Qatar 2022 World Cup

Entry type: Single project

Country/area: Spain

Publishing organisation: Mundo Deportivo

Organisation size: Big

Publication date: 2022-11-17

Language: Spanish

Authors: Senior Graphics Editor: Feran Morales
Data: Ainhoa Campaña


My name is Ferran Morales and I have been working as a data visualizer at Mundo Deportivo, a century-old sports newspaper based in Barcelona, for 23 years. At the beginning, my work was mainly focused on the paper edition, but over time I have evolved towards a more digital profile. I have learned to use new technologies and have kept up to date with trends in the field of digital journalism.

Project description:

We made a special feature on our website about the eight groups of the World Cup that took place in Qatar. To obtain accurate and verified information, we used three different sources: our own sources, the FIFA archives, The Rec.Sport.Soccer Statistics Foundation and The World Cups of Soccer. Gathering data is a complex and tedious process, but it is essential to tell interesting and truthful stories. We use Google Sheets for data collection and filtering.

Impact reached:

Feedback from users through comments on the website and social networks has been very positive.

Techniques/technologies used:

Technically we use scrollmagic to control the scroll, adobe suite, Google Sheets, Flourish and Datawrapper.

Context about the project:

He aim of this special was to comprehensively analyze the historical participations in the Qatar World Cup, searching for and preparing detailed data on all the participating teams. The task of compiling and optimizing this data was arduous, especially when considering particular aspects such as minutes with advantage or disadvantage in each match. The end result is a historical compilation that any World Cup expert can use for detailed analysis.

What can other journalists learn from this project?

In this special, a radar visualization was used to represent team shares. This type of graph is particularly useful for presenting this type of information, as it allows a large amount of data to be visualized clearly and concisely. However, it is important to bear in mind that the use of these tools may generate some complexity for the reader, so it is necessary to provide an adequate explanation to facilitate understanding.

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