« Charts should not be used as map lessons | Main | Have data graphics progressed in the last century? »



Good point. Too many people seem to think that they can create an infographic simply by slapping some brightly coloured graphics on some dull statistics.

Here's a simple test to determine whether a chart is a genuine infographic. If the graphic is meaningless without the supporting percentage figure then it does not convey additional information and is not an infographic. If you can lose the graphic without losing any additional information - then it is not an infographic.

A genuine infographic not only illustrates the information but draws it out, so as to make it clearer and easier to comprehend. Infographics are particularly good at demonstrating relative relationships. You should be able to look at an infographic and get an immediate insight into the structure of the underlying data without reading every statistic in detail.

sewa mobil

Nice article, thanks for the information.


As I often say, it's not enough for an information graphic to be better than nothing: the floor of performance is that it should be better than the table it replaced.

Eric N

There is one or two issues I would like to point out about the "Change In Share Of Income" and it's corresponding/sister chart "Average Household Income: before taxes" that initially bothered me - which originally came from the Mother Jones article (which is in and of itself an interesting read).

If you read the accompanying article it really tries to tie in the change in income discrepancies with the downfall and marginalization of unions - kind of ending in the 1970's from their peak in the previous years.

The first issue I have with this chart is that if you look at the base year starting in 1979 it suggests that this is when things started to go wrong (which is one of the articles main points) - however if you look at the historical data the trend has been there for a long time.

The use of taking the top 1% really minimalizes the rest of the relationships in its sister chart "Average Household Income: before taxes".

Third, I would even suggest that if we swapped the indicator names with something more benign/less political that this data (top 1%) would be an outlier especially since everything else is in 1/5 increments. And as I've not run the numbers myself it would be interesting to see what these charts would look like with the bottom 1%.

Anyway just some food for thought.


Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.


Post a comment

Your Information

(Name is required. Email address will not be displayed with the comment.)


Link to Principal Analytics Prep

See our curriculum, instructors. Apply.
Marketing analytics and data visualization expert. Author and Speaker. Currently at Columbia. See my full bio.

Book Blog

Link to junkcharts

Graphics design by Amanda Lee

The Read

Good Books

Keep in Touch

follow me on Twitter