Posts Tagged ‘visualizing data’

Two Examples of Animated Data Visualization

Thursday, May 30th, 2013

As market researchers pay more and more attention to the need for compelling data visualizations, Hans Rosling’s work with interactive data is becoming a catalyst for a fascinating new type of data visualization: animated statistical graphs.  He uses them to show world social and economic trends over time, and the effect is exceptionally powerful.  Here is a video of his TED talk well worth watching, in which the first eleven minutes are focused on interactive graphs:

 

Others are following his lead, though not always to the same superb effect.  Here is another animated statistical graph, this one documenting drone strikes and fatalities in Pakistan: (more…)

Designing Excellent Charts: Show and Don’t Tell

Wednesday, March 20th, 2013

This week we published Versta Research’s quarterly newsletter with a feature article entitled “How to Design an Excellent Chart.” It addresses one critical piece of turning research data into compelling stories by focusing on the process of data visualization.  For us, that process involves five steps:

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New Year’s Research Resolutions

Thursday, January 10th, 2013

As we begin the New Year 2013 (and as Versta Research enters its fifth year in business!) my colleagues and I are thinking less about the hottest trends that dazzle, and more about a few rock-solid resolutions for the market research industry that would make research more valuable, relevant, and useful compared to last year, last month, or the last project just completed.

Here is our list, along with a tip for succeeding with each:

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Using Mekko Charts to Show Market Share

Wednesday, November 21st, 2012

An extremely useful chart rarely used by market research professionals is a mekko chart, sometimes referred to as a marimekko chart.  It is a stacked bar chart, but (1) the width of the bars varies in a meaningful way and (2) they are lined up next to each other.  Usually the bars vary in width according to  market share.  This means that the surface area of the chart represents the total market, and each component of the chart is proportional to its share of the total market.

Here is an example: (more…)

Why You Should Avoid Pie Charts

Thursday, August 16th, 2012

The First Published Pie Chart

The New York Times Magazine runs a weekly feature called “Who Made That?” It provides a history on the origins of oddities like fly swatters, soy-sauce dispensers, clothespins, Kraft Singles, and … pie charts.  They attribute it to one William Playfair, a Scottish engineer who created and published a pie chart in 1801.  He is also presumed to have invented the bar chart fifteen years earlier.

Alas, the pie chart has taken a beating in recent years for being one of the worst visualizations of statistical data.  Edward Tufte in The Visual Display of Quantitative Information has this to say:

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Finding a Story in All Those Numbers

Thursday, July 26th, 2012

I’m always inspired by this video from Vi Hart, who describes herself as a “mathemusician.”  She doodles and draws, finds numeric patterns and insights as she does it, and weaves interesting (and funny) stories around those insights.

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Better Charts for MaxDiff Data

Thursday, June 28th, 2012

The New York Times is one of the few organizations trying to push our industry further in developing better data presentation and visualization techniques.  Sometimes they do a good job, introducing rich, informative, engaging, and interactive charts that would make even Edward Tufte, the contemporary pioneer in data visualization, proud.  Sometimes they do a not-so-good job; and indeed we can learn from that as well.

Here is a chart they printed several weeks ago on the op-ed page:

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How to Make a Beautiful Market Share Chart

Wednesday, May 2nd, 2012

How do you make a beautiful, elegant, intuitive, and useful chart showing changes in market share over time?  In R.  That always seems to be the answer these days when it comes to data visualization as well as data analysis.  It is the reason that we at Versta Research are in the midst of an intensive course of training and retraining in R.  Here is just one beautiful example of what R can do. (more…)

What Statisticians Really Do

Wednesday, March 28th, 2012

We came across these images in a series of humorous montages that professionals had created about what they do.  This one was created by Jason Sullivan:

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Bad Charts and Good Charts for Kony 2012

Wednesday, March 21st, 2012

We came across this chart from Invisible Children, the group that produced the Kony 2012 video.  It shows the organization’s expenditures by category.  It is a poorly designed chart for three reasons:

1.  The pieces of the doughnut are not correctly proportional.  For some reason, the arc widths were compressed for some categories (like Media & Film Creation) distorting the true size of the relationships among categories.

2.  Information is squeezed onto the chart in such a way that some of it is unreadable.  Even if you click on the chart to get a full-sized image, it is difficult to discern the numbers for the Media & Film Creation category.

3.  Percentages are shown to two decimal places, which is unimportant.  Why add extra numbers if they don’t convey extra information?

A better way to create the chart is shown below.  It is less snazzy.  But it shows the important data (the relative sizes of each expense category) accurately.

Even so, this chart is probably not the best choice, either.  Pie charts are excellent for showing relative proportions of the whole, but once you have more than four our five slices, it is usually too much information for this type of chart, and your brain does not really process those relative proportions. (more…)