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Review of WSJ Guide to Information Graphics by Dona Wong Today, information and data is increasingly being represented as visuals - either as impactful charts and maps, rich data visualizations or beautiful infographics. Representing information and data in visual formats gives businesses, journalists, scientists, writers, etc. a powerful means to communicate with their readers and users. However, over the past few decades the approach taken towards charting has led to a lot of confusion. More often than not, the charts created look beautiful but end up misleading or misrepresenting the data behind them. As a result of this, it has become increasingly important to bring clarity to charting and data visualization. In her book “WSJ Guide to Information Graphics” Dona Wong tries to precisely this – represent your data in charts clearly and concisely. While several charting examples out there in the world are very generous in their use of

Review of WSJ guide to Information Graphics

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Review of WSJ Guide to Information Graphics by Dona Wong

Today, information and data is increasingly being represented as visuals - either as impactful charts and maps, rich data visualizations or beautiful infographics.

Representing information and data in visual formats gives businesses, journalists, scientists, writers, etc. a powerful means to communicate with their readers and users. However, over the past few decades the approach taken towards charting has led to a lot of confusion. More often than not, the charts created look beautiful but end up misleading or misrepresenting the data behind them. As a result of this, it has become increasingly important to bring clarity to charting and data visualization.

In her book WSJ Guide to Information Graphics Dona Wong tries to precisely this represent your data in charts clearly and concisely. While several charting examples out there in the world are very generous in their use of visual elements such as Color, shape, position, Dona Wong tries to make the case that each visual element should be directly connected to one aspect of data. This results in elimination of visual clutter in charts, making them easier to read and grasp within a single glance.

The point Dona Wong tries to make is that people dealing with data often need to express themselves using graphics but lack the correct ground rules/ guidelines in order to create well-designed charts and graphs. This ranges from the right choice of chart i.e. pie chart, column charts, line charts to placement of axes/ scales and also the choice/ variations of color that ought/ought not to be used.

With her past experience in graphics for New York Times, Wall street Journal and as a student of Edward Tufte, Dona Wong effectively synthesizes the best practices utilized in the industry into a more accessible form in her book. Following a lot of the rules mentioned in the book may help anyone build clear and well-designed charts, infographics and data visualizations.