Monthly Archives: September 2012

Visualizing worldwide education disparities with the WIDE tool: A data meatloaf

Using the recently released WIDE (World Inequal­ity Data­base on Edu­ca­tion) is part of a UN ini­tia­tive called edu­ca­tion for all. This is an exam­ple of a visu­al­iza­tion Mean years of edu­ca­tion using the tool: It’s also pos­si­ble to view mul­ti­ple indi­ca­tors for a coun­try, for exam­ple, Domini­can Repub­lic: Some high level thoughts: As data visualization, […]

Speck Design + Venn Diagrams

A num­ber of blog­gers have com­mented on the impos­si­bil­ity of the Venn dia­gram posted on a build­ing in New York City. The cat­e­gories read: Peo­ple who live in Noho Peo­ple who live in Soho Peo­ple who can afford their rent Even though it’s just an ad, it raises some inter­est­ing ques­tions about using Venn diagrams […]

Classifying Chevy El Camino

How do you clas­sify some­thing like the Chevy El Camino? Is it a truck? pickup truck? car? or some­thing in-​between? When my son was two years old he used to call pickup trucks “George trucks” after his Uncle George who drove a pickup truck at the time. One day we saw a Chevy El Camino […]

How large data sets create opportunities for entrepreneurs

Large data sets pro­vide oppor­tu­ni­ties for entre­pre­neurs to cre­ate new busi­nesses that help cus­tomers make deci­sions using data and ana­lyt­ics.. I’ve reviewed a cou­ple of them pre­vi­ously: Solum (geo­tar­get­ing fer­til­izer to increase crop yield) and Steet­light Data (opti­miz­ing retail store loca­tion) A recent arti­cle in Slate enti­tled Here Comes the Data Econ­omy describes how startups […]

Creating 3D paper models to visualize data

An inter­est­ing way to grasp data is to hold a model in your hand and expe­ri­ence it in 3D through a paper model. Below is a 3D pie chart visu­al­ize using paper. It was cre­ated by Nick O’ Leary, an engi­neer with IBM in the UK. Nick’s blog is here; he has cre­ated a custom […]

On Partial Classifications & Miscellanies

I am con­tin­u­ing to read on clas­si­fi­ca­tion which is a fas­ci­nat­ing topic. Not all clas­si­fi­ca­tions are enhaus­tive; some depend on a large class of mis­cel­lany, oth­ers are par­tial clas­si­fi­ca­tions and these may work depend­ing on the con­text and list of terms. The scholar Carl Dar­ling Buck wrote A Dic­tio­nary of Selected Syn­onyms in the Principal […]

Classification, ancient musical instruments, and data analysis

Clas­si­fi­ca­tion is a key tech­nique to ana­lyz­ing data that yields very dif­fer­ent results based on the clas­si­fi­ca­tion scheme. One tech­nique is to use two dif­fer­ent clas­si­fi­ca­tion schemes on the same dataset, do the same analy­sis and com­pare the results to find hid­den insights in data. As an exam­ple, in the 17th cen­tury book De Tribus […]

Why your next CMO will come from big data

A recent blog post from Car­los Cata of Hei­drick and Strug­gles claims that 50% of CMO searches he has recently placed need big data or mar­ket­ing ana­lyt­ics exper­tise as a key com­po­nent. Here’s a quote: While orga­ni­za­tions have had sta­tis­ti­cal and ana­lyt­i­cal resources in the past, there is a height­ened need for strate­gic and marketing […]