May 4, 2015
My biggest problem with this viz is that I have to turn my head sideways to read it. In addition:
- The length of the bars isn’t accurate. How can +4.5 be longer than -5.0?
- The bars are in reverse order - the biggest overachievers (Dallas) should be first.
- I have to do the math in my head to get to their predicted wins.
My first thought was to see what this viz looked like it I rotated it counter clockwise.
That definitely makes it more readable, but the story still doesn’t stand out. What the data is screaming for is to show the change and emphasize the winners and losers. To this end, along with accounting for the observations above, I created this interactive version in Tableau. Click on the image below to activate the interaction.
May 2, 2015
April 27, 2015
The global talent pool has never been larger, will grow to 2030, read http://t.co/aA9AyLEXta (pdf) #education #stats pic.twitter.com/aiIiTDbZt9These pie charts are part of a larger study conducted by OECD, which you can read here. Some thoughts about these pie charts:
— OECD (@OECD) April 24, 2015
- The author is trying to show the change from 2013 to 2030. Using two pie charts makes this more difficult than necessary. At least, though, they kept the countries in the same order.
- The pies do not add up to 100%, I assume due to rounding. The 2013 pie adds up to 101% and the 2030 pie adds up to 102%.
- The focus is on the top 20 countries, so the “Other” category isn’t needed.
- The labels on the pies include both the country name and the value. A table would be better than this. Adding all of these labels makes the chart way too busy.
- There are two key metrics in the data: share of degrees and the number of degrees. The pie chart doesn’t provide enough context for understanding where the number of degrees will be coming from.
Given all of the above, I decided to create a slope graph.
- I included a parameter which allows you to select the metric.
- This option, along with using a slope graph, really helps show how dramatic the change is for China and India.
- Switch back and forth between the parameter options and you’ll see quite a different story.
April 23, 2015
Jeffrey Shaffer and I are two weeks into a year-long weekly hand-drawn data viz project we’re calling Dear Data Two. The project is entirely modeled after the Dear Data project Giorgia Lupi and Stefanie Posavec are doing. Jeffrey and I thought this would be a great way for us to remove ourselves from software and work on being more “artistic”.
The week 2 theme was “Transport”. Jeffrey tracked his step pattern around his office.
While I tracked the places I went all week and how I got to each place. What was different for me this week is that I started with Tableau and then went to hand drawn. Going forward, you can keep up with the project at www.dear-data-two.com, where you can read more about our thoughts and how we created each postcard.
April 22, 2015
- You put a bunch of PDFs into a folder (as many as you’d like)
- Run the Alteryx module
- Alteryx spits out a Tableau extract and workbook that count how many times each word appears in the PDFs
Keep an eye on The Information Lab Blog for more details. Chris is going to write a post soon on how he built this. It’s genius!
For my testing, I decide to run the module against the PDFs of the course materials that Stephen Few gives you at his Visual Business Intelligence Workshop. These PDFs average 25MB (i.e., that’s a lot of words). Chris provided a simple word cloud output as part of the package he wrote. I took that and added a bar chart and a parameter. Anyone that uses Alteryx is going to love what Chris created, pun intended.
April 21, 2015
OMG I can’t wait! December can’t get here soon enough! The folks over at Star Wars announced Tuesday that there were over 88M views of the second trailer in the first 24 hours.
What better way to celebrate than with a viz? Picture Star Wars as a country, located precisely where Null Island is today. And assume trailer views = population. The Force Awaken would be the 15th largest country in the World!
Today’s tip is about embedding YouTube videos and Soundcloud audio into a Tableau dashboard. It’s pretty simple. Scroll down below the viz for the instructions. May the Force be with you!
First, let’s get the YouTube video embedded.
- Drag a Web Page object onto the dashboard.
- When prompted for the URL, you want to grab the embed code:
- Copy the string after the “src=“ and add "?rel=0&showinfo=0” onto the end of it. The URL should look like:
The process for embedding audio is much the same.
- Go to the track on Soundcloud.
- Click on the Share button.
- When the share window appears, click on Embed at the top.
- Scroll to the bottom and click on More Options.
- Choose the size and check the Automatic play box.
- Copy the embed code.
- Select the text after the “src=“ and copy it
- Add a Web Page object onto the dashboard.
- Paste the copied text in the URL box.
April 20, 2015
Makeover Monday: Chelsea Are the Worst-Behaved Team in the Premier League When It Comes to Showing Respect to Referees
Last week the Premier League published the first (sort of) detailed stats on their Fair Play League table. Quickly thereafter, all of the news outlets reports how Chelsea basically treats the refs like garbage. Anyone that watches the Premier League, even Chelsea fans, knows this is true. Don’t deny it folks!
As I was scouring the various reports, I didn’t see anyone actually create a viz on the subject. The best I found was this table from The Daily Mail:
A table is great for ranking and looking things up, but terrible for doing any sort of analysis. I downloaded the FPL table into Excel (here) and combined it with the BPL standings as of the same date.
In the viz below, I’m using Chelsea as the baseline for comparison, because the story that interested me was how much worse does Chelsea behave compared to the other teams. For example, if you hover over Liverpool, you will see that Chelsea is 14% worse with its respect for referees.
I then added a second tab that allows you to explore the data on your own. Pick a FPL stat, a BPL stat and you can compare and contrast. The question I wanted to answer here was “Is there a relationship between FPL and BPL stats?” I can’t find any interesting relationships, but maybe you can.
April 13, 2015
First, bubbles make comparisons harder than they need to; bar charts are much better for comparisons. This view also doesn't provide any addition insight. I can't answer a simple question like "Which countries did Cameron visit in Europe and when?"
I only had a few minutes this morning to create an alternative and here's what I came up with in about 15 minutes.
April 12, 2015
Today, I set out to see some football stadiums. I mapped a route that took me from Wimbledon, past three iconic football stadiums.
|Craven Cottage - home of Fulham FC|
|Loftus Road - home of QPR FC|
|Stamford Bridge - home of Chelsea FC|
And yes, I know I titled this post "English" and Scotland is not part of England, but UK football stadium tracker doesn't resonate as well with me.