How powerful charts can boost your career
An American accountant managed – as the youngest ever! – to win a crucial election in Los Angeles – thanks to the power of data visualization.
Kenneth Mejia, a 32-year-old accountant of Filipino descent, is very committed to issues of poverty, affordable housing and mobility. In the 2022 elections he ran for “City Controller”, a sort of treasurer, for his hometown of Los Angeles. It’s a department with responsibilities almost as big as those of the city’s mayor and chief justice. For example, the City Controller can commission audits to evaluate the effectiveness of city departments.
Data visualization as election propaganda
Kenneth took a remarkably creative and unusual approach in the run-up to the election: he made imported data about the city instantly accessible and visible. On his campaign website, for example, he created a whole series of interactive maps, reports and searchable databases. He even put up billboards showing with graphs what the anticipated city budget will be used for in 2022-2023.
That transparent communication did not miss its mark. Kenneth won, as the youngest city controller ever. This approach shows how powerful data visualization is to unlock information, which may seem difficult and unfathomable to the general public, in a very accessible way. As a result, citizens not only gain insight but also become more engaged in politics. They become better informed and can vote more knowledgeably.
You too can make a difference thanks to powerful data visualization
Whether you have political ambitions, want to present your scientific research comprehensibly or convince your management of your brilliant ideas… Would you also like to learn how to create powerful graphics that can inform, convince and engage your audience? Charts that not only accurately represent the numbers, but also have a clear message and are attractive to look at?
In the book “Powerful Charts” physicist and Baryon founder Koen Van den Eeckhout explains in an accessible and practical way how this can be done. An indispensable guide for anyone who communicates with and about figures.
This brand new book is available now at Owl Press.
Read more:
Choosing the right font for your data visual
Fonts evoke emotions: there are very sophisticated fonts, playful fonts, attention-grabbing fonts, and elegant handwritten fonts. Using the wrong type of font can have a lot of impact. In data visualization the implications of typography are mainly focused on readability. Labels and annotations can easily become so small they get hard to read. Above all else, we should choose a font which is readable at small sizes.
2 January 2023
Three roles of colour in a data visual
Colour is one of the most crucial tools we have to turn a normal chart into a powerful chart with a clear message, a chart which tells a story rather than simply presenting the information.
26 December 2022
7 different goals for your chart
A crucial step in building a powerful chart is choosing the right type of chart. A lot of charts don’t work because they simply use the wrong type of chart. To avoid this trap, we must ask ourselves a basic question: what’s the ultimate goal of our data visual? What do we want to show with our data?
19 December 2022
Making a data visual noise-free
Removing noise from a data visual is not only about taking things away such as gridlines, axes or legends. That’s just one part of it, which we could call removing physical noise. Improving the signal-to-noise ratio is often also about adding little things that help our audience better understand the visual. We are helping them by removing mental noise, or mental barriers.
12 December 2022
Three tips to create powerful charts in Excel
Creating charts in Excel can be a very powerful tool for making sense of complex data sets, and for visualizing them. But the default options are not always the most pretty or effective ones. Here are our top three tips to create better Excel charts.
8 December 2022
A powerful chart has a high signal-to-noise ratio
‘Less is more’. It’s a crucial principle in most of our communication, and in data visualization in particular. Because of my background as a physicist, I prefer to talk about the ‘signal-to-noise ratio’. The message - our signal - should be amplified as much as possible, giving it all of the attention. Everything that can distract from our message - the noise - should be removed.
5 December 2022
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