Category Archives: Visualization

Using Flow Maps to show derivative products

Flow maps show branches of data which form part of a whole and are often used to show deriv­a­tive prod­ucts made from a sin­gle source. These were quite pop­u­lar in the early 20th Cen­tury to show ship­ping traf­fic from ports. In this exam­ple it shows the com­po­nents that con­tribute to the 3M stock price. Post-​its […]

Chart of the Week: Timeline+Segmentation+ Scatterplot

Information-​dense charts show mul­ti­ple rela­tion­ships in data in a sin­gle, chart. They take more time to read/​review, but pro­vide deeper insights. This week’s exam­ple from R.W Brun­skill’Illus­trated Hand­book of Ver­nac­u­lar Archi­tec­ture shows the evo­lu­tion of “ver­nac­u­lar archi­tec­ture”. Ver­nac­u­lar archi­tec­ture ” will have been designed by an ama­teur, prob­a­bly of the occu­pier of the intended building […]

your.Flowing Data: Capturing your life data

New web ser­vice: your.flowingdata enables you to cap­ture events and activ­i­ties in your life, track and visu­al­ize them. The goal is to under­stand life choices bet­ter. It’s an exper­i­men­tal project from Nathan Yao who runs the excel­lent data visu­al­iza­tion site Flow­ing Data . Per­haps there will evolve into a jour­nal sim­i­lar to My Life in […]

Chart of the Week: Visualizing Multi-​select survey questions

Visu­al­iz­ing multi-​select sur­vey ques­tions (where the respon­dents can pro­vide mul­ti­ple answers) is chal­leng­ing to sum­ma­rize since pie charts and 100% bar charts do not work well since the parts can add up to be more than 100%. In the book Pic­tur­ing the Uncer­tain World: How to Under­stand, Com­mu­ni­cate, and Con­trol Uncer­tainty through Graph­i­cal Dis­play, the […]

Book of the Week: The Periodic Table: Its Story and Significance

Orga­niz­ing the chem­i­cal ele­ments into reg­u­larly recur­ing cat­e­gories was a major step in the his­tory of chemisty. The Russ­ian chemist Mendeleev played an impor­tant role in cre­at­ing the mod­ern peri­odic table, and look­ing at how he got there pro­vides some ideas for orga­niz­ing, clas­si­fy­ing, and ana­lyz­ing large data sets. First, the ideas around peri­od­ic­ity evolved […]

Area Proportional Venn Diagrams

Venn dia­grams are great for under­stand­ing how sets inter­sect and relate to each other, but most don’t indi­cate quan­tity. So if you have a set that shows pet own­er­ship (some own dogs, some dogs and fish,etc): With a pro­por­tional Venn dia­gram, you add the dimen­sion of size or count. For exam­ple, Peo­ple who own a […]

New Tool: Graph Commons

Graph Com­mons is a new tool that I’m play­ing with. Sim­i­lar to sites like Many Eyes, you can upload data, cre­ate graphs, and share with other com­mu­nity mem­bers. The tool focuses on net­work dia­grams. Here’s an exam­ple of how a tax­on­omy for archi­tec­tural types based on the book Isms: Under­stand­ing Archi­tec­ture. I will try to […]

Graphing Accuracy of Forecasts

Graph­ing a series of mul­ti­year fore­casts vs. actu­als can pro­vide insight into fore­cast accu­racy and meth­ods. This graph looks at a series of rev­enue per share pro­jec­tions for Apple Note that none of the fore­casts showed the expo­nen­tial growth, but assumed essen­tially lin­ear growth. (the fore­cast lines are gray and extend for mul­ti­ple years. Actuals […]

Heat Map Example /​Soccer field

Heat map of soc­cer field: the soc­cer field is divided into twenty 5.35m seg­ments. The num­bers rep­re­sent the total num­ber of passes from that sec­tion. Col­ors are cor­re­lated with num­bers of passes (green — yel­low — red are low to high). From Ratio­nal Foot­ball blog.