After Vine’s announcement to discontinue the mobile app in the coming months, I’ve gathered 5 good stories on data visualization.
These six-second videos are able to explain the main points from a topic and challenge the audience:
After seven months, I will stop publishing My #brummie daily graphic on Instagram. The challenge, explained in this previous post, was to come up with a picture, a graphic or both to visually summarise my days while studying Online Journalism at Birmingham City University.
I posted 126 pictures from October until May. Throughout these months, my Instagram account had a post almost every day. However, this regularity started to disappear due to the lack of interactivity and publishing when combining photos and charts.
I have been storing these posts in a spreadsheet with the Instagram URL and the description. After that, I have been assigning a general topic to each publication.
Lacking data visualisation design skills can lead to distorted data and prioritising aesthetics before information. For this reason, Jan Willem Tulp organised a data visualisation design workshop at NODA and Tutki! 2016, a joint conference held last weekend in Helsinki.
Tulp’s workshop focused on improving the visual literacy in order to critically evaluate our and other people’s work. Below are five takeaways to keep in mind when designing a data visualisation:
Numbers and financial information are not easy to display and some visualisations can lead to confusions or misinterpretations.
Jeff Leek gathers in his book The Elements of Data Analytic Style (2015) some words from John Tukey, one of the most innovative data scientists:
“The data may not contain the answer. The combination of some data and aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data”.
Alberto Cairo talks about a lack of reasoning in his last book The Truthful Art. On a previous post he said:
“We are surrounded by numbers, statistics, and scientific publications; and sometimes journalists publish huge barbarities.”
Below I have gathered three good examples when it comes to explaining and visualising complex data on economics issues:
Pamplona (Spain) will gather visual journalists from around the world within the Malofiej Awards, the professional workshop ‘Show Don’t Tell’ and the Infographics World Summit.
From March 6-11,2016 Malofiej 24. It’s time! will be held at the University of Navarra.
This month I have been looking for sources that share good data journalism and data visualisation projects. Below I list three websites to look for other people’s work in this field: