Shortchanging and subverting the message

Reader Michael N. calls this an "unusual" marketing bar chart--because the designer distorted the data in a way that weakens, rather than strengthen, the story!

Republic_Wireless_excerpt

The infographic is pitching savings if the family switches to Republic. The savings is about 70% off and yet the height of the $40 bar is more than 50% of the $150 bar. 

The entire infographic is a case of misplaced emphases. (Click here to see original.)

Ranked by size of font from largest to smallest, this poster gives us the following information:

Average cellphone bill for a family of four

Penetration rate of Wifi

Price comparison between average plan and Republic Wireless plan

Median national household income

Cellphone bill growth versus inflation rate

Cost of wireless data split from the bill

Growth of global Wifi hotspots

Actual amount of wireless data used by cellphone users

 

The intended message is families are paying for a lot of unused wireless data, and Republic Wireless has a Wifi solution to save you 70% of their bill.

 


Why you need a second pair of eyes

Reader Aaron K. submitted an infographic advertising the upcoming New England Auto Show to be held in Boston (link).

As Aaron pointed out, there is plenty of elementary errors contained in one page. I don't think the designer did these things consciously. I believe in having someone else glance at your work before you publish it. Or take a walk around the house and look at your own work after flushing your head.

In the following diagram, the graphical elements (stick figures) are coding the data labels, rather than the data!

Neas_agegroup

Helping readers figure out which one is male and which one is female seems, hmm, unnecessary.

Neas_gender

Placing the above two charts side by side has the effect of suggesting that only male attendees were asked about their age.

Neas_gender_agegroup

 Look again, is the proportion of attendees over 18 4%, 96% or 100%?

Neas_over18

***

This map irritates me.

Neas_geo

Is it because they could have enlarged the frame just a little so as not to have to expel little Rhode Island from New England? Is it because not having the right frame size caused two numbers to sit outside New England when only one should? Is it because having two numbers outside the boundary tempted the designer to single out Rhode Island for the purpose of labeling? Is it because no other state is labeled besides Rhode Island?

Or is it because the land area is vastly disproportional to the data being displayed? Is it because the map construct is a geography lesson and nothing more (something I wrote about years ago)? Is it because the geography lesson is incomplete since only one state is labeled?

***

According to the text at the bottom, this part of the country is proud of "it's (sic) academia" and has hundreds of thousands of college students, who somehow "contribute $4.8 billion+ to the city's economy," which tells me they are super-productive in the classrooms.


Sheep tramples sense

Merry Christmas, readers.

***

A Twitter follower pointed me to this visual:

Wtf_sheep

I have yet to understand why the vertical axis of the top chart keeps changing scales over time. The white dot labelled "Peak 1982" (70 million) is barely above the other white dot for "2007" (38 million). This chart hides a clear trend: the population of sheep in New Zealand has plunged by 45% over 25 years.

To address the question of sheep versus human, one should plot the ratio of sheep-to-human directly. In this case, the designer probably faced a problem: because of the plunging population of sheep, the ratio has plunged steeply in 25 years. To make a point that "people are outnumbered more than 9 to 1", the designer didn't want to show a plunging trend. (Could this be the reason why the human population in 1982 was not printed?)

This is a case of too many details. Instead of manipulating the scale to distort the data, one can simply show the current ratio, or the average ratio in the last five years.

***

As the reader scans to the bottom set of charts, a cognitive wedge is encountered, as the curved scale of the New Zealand chart gave way to the normal uniform scale. These smaller charts are no less confusing, however.

  Australia_iceland_sheep

The two lines on these two charts appear almost the same and yet, the Australian chart (on the left) shows a ratio of 4 to 1 while the Icelandic chart (on the right) shows a ratio of 1.5 times. Makes you wonder if each one of the small-multiples have a dual axis.

Again, I'm not convivned that the time series adds anything to the message.

 


Disorganization

Reader Boise-state-facts-figures-2014-updated Aaron W. came across this "Facts and Figures" infographic about Boise State University that seemingly is aimed at alumni of the school. Given that Boise State has a good reputation for analytics, Aaron found it disconcerting to see such a low-quality data graphic. (click on the image to see it in full size).

There are numerous little things to grumble about in each section of the chart. The larger issue though is the overall composition. When assembling a chart like this, it is important to provide a navigation path for readers, whether explicitly or through cues.

It's difficult to discern the organizing principles of this chart. Aaron felt this way: "the total information flow is haphazard, if not entirely incoherent. There is some valuable information here, but at best it gets lost in the shuffle."

For example, some statistics are for undergraduate students only, some are for graduate students, and some are offered in aggregate.

Boisestate_undergradgraduate

Confusion reigns. We learn that the school has total enrollment of 22K students but it's a little math quiz to learn how many are undergraduates. In certain sections, data about faculty members are mixed with those about students.

Not breaking out undergraduates from graduates is a particular problem when presenting demographics, such as age distributions, ethnicity, etc.

Boisestate_age

It's odd to present this distribution of age without remarking that the undergrads are shown on the left and the graduate students are shown on the right.

Then, the sections presenting counts of students, faculty, degrees, etc. overlap with sections presenting financial data.

Boisestate_countdollar

A rethinking of this page should start with identifying the key questions readers would be interested in learning, and then organizing the data to suit those needs.

 

 

 


An infographic showing up here for the right reason

Infographics do not have to be "data ornaments" (link). Once in a blue moon, someone finds the right balance of pictures and data. Here is a nice example from the Wall Street Journal, via ThumbsUpViz.

 

Thumbsupviz_wsj_footballinjuries

 

Link to the image

 

What makes this work is that the picture of the running back serves a purpose here, in organizing the data.  Contrast this to the airplane from Consumer Reports (link), which did a poor job of providing structure. An alternative of using a bar chart is clearly inferior and much less engaging.

Redowsjinjuries_bar

***

I went ahead and experimented with it:

Redo_wsj_nflinjuries

 

I fixed the self-sufficiency issue, always present when using bubble charts. In this case, I don't think it matters whether the readers know the exact number of injuries so I removed all of the data from the chart.

Here are  three temptations that I did not implement:

  • Not include the legend
  • Not include the text labels, which are rendered redundant by the brilliant idea of using the running guy
  • Hide the bar charts behind a mouseover effect.

 


Data decorations, ornaments, chartjunk, and all that

Alberto Cairo left a comment about "data decorations". This is a name he's using to describe something like the windshield-wiper chart I discussed the other day. It seems like the visual elements were purely ornamental and adds nothing to the experience--one might argue that the experience was worse than just staring at the data table.

It just happens that I have another example of such a chart, submitted by Xan. This one is from Consumer Reports, and illustrates some findings from a recent survey on what things air travellers hate most. Good luck figuring all this out!

ConsumerSurveyNov2014_xan

A few of these ideas work, such as the complaints about leg room being tied to the seated passengers inside the plane. But then, the data about people hating middle seats is placed on the upper left corner between the left wing and the tail. All of the atypically shaped charts (the cloud, the triangle, the octaogon) seem to use the oft-criticized convention of coding the data onto just one dimension of these multi-dimensioned objects. I just find the organization of the text confusing and poorly structured.

Xan pulled something from a much older Consumer Reports. And they dared to use a boring bar chart:

Xan_consumer_report_old

A nice compromise would be to create some subsections under Airlines to group different types of complaints (stuff relating to seating, stuff about service, stuff about punctuality, etc.). Ask a designer to draw some icons (remember the NYT dog graphic!)


Light entertainment: famous people, sleep, publication bias

Bernard L. tipped us about this "infographic":

3031754-inline-i-sleep-schedule

The chart is missing a title. The arcs present "sleep schedules" for the named people. The "data" comes from a book. I wonder about the accuracy of such data.

Also note the inherent "publication bias". People who do not follow a rigid schedule will not be able to describe a sleep schedule, thus taking themselves out of the chart.


A promising infographic about motorcycle helmets

The New York Times graphics team shows us how to do infographics poster the right way. They recently put up a feature showing how the repeal of helmet laws is linked to increasing vehicle fatalities. The graphic is here.

One of the key charts is this one (second to last screen):

Nyt_motorcycle_fl_2

The graphic tells the story, no additional words are needed. (Actually, you'd have to come from the prior page to know that the white vertical line represented the year in which Florida repealed its helmet law.)

Of course, one state does not prove a trend. It appears that other states face the same situation. It would be nicer if they could start this next chart at an earlier time.

Nyt_motorcycle_txar

I'm surprised by how much these lines fluctuate given that the raw counts are in the hundreds.

I wonder if there is any active debate in Florida or elsewhere as it would appear that the helmet law repeal may have caused hundreds of unnecessary deaths. Have people been coming up with other explanations for the sharp rise in motorcycle fatalities involving those not wearing helmets?