Author Archives: Michael

I focus on technology marketing in emerging markets, specifically Latin America, Middle East, and Africa. Any opinions or thoughts expressed here are my own and not those of my employer or organizations I belong to.

Featured Grid: Climatology and Home Design

In a book pub­lished in the 1950s enti­tled Cli­ma­tol­ogy and Archi­tec­ture, the author presents a matrix of rooms in a house vs. com­pass direc­tion. The author’s rec­om­mended place­ments are indi­cated with a sym­bol. Here’s the orig­i­nal graphic: It’s an inter­est­ing graphic but the reader needs to “work” a lot to under­stand and find mean­ing and […]

2014

First post for 2014. After almost 2 years of blog­ging, I want to reshape the blog a bit. There are three steps to mak­ing data dri­ven deci­sions: 1) Col­lect, aggre­gate, and process the right data. 2) Ana­lyze, orga­nize, and visu­al­ize to begin to find mean­ing. 3) Get insights, draw con­clu­sions, and take action Begin­ning in […]

Product Grid Example: Nooka Watchfinder

Nooka cre­ates non-​traditional watches that dis­play time with com­bi­na­tions of dots, bars, and charts rather than num­bers and hands. Their Watchfinder app is a prod­uct grid that lets you click on color, ideograms of watch faces, and sort by color, name, price or face. Inter­est­ing graph­i­cal vari­ant on prod­uct grid. for some exam­ples of Nooka […]

Featured Data Graphic: Visualizing City Data

Inter­est­ing mul­ti­vari­ate graphic shows mul­ti­ple city ast­trib­utes: sur­face area (cen­tral square), height of tallest build­ing, pop­u­la­tion, aver­age price of prop­erty, num­ber of vis­i­tors (4 right tri­an­gles) and mean tem­per­a­ture and rain­fall (charts). Each city is arranged by lat­i­tude (east to west) and lon­gi­tude (north– south) in a rough grid. Data is from pub­li­cally avail­able data […]

Featured Chart: Car Ferry Congestion by Day

Wash­ing­ton State Fer­ries have an effec­tive visual grid show­ing hour, day, and con­ges­tion for vehi­cle fer­ries on dif­fer­ent routes in the Puget Sound. The exam­ple below shows Ana­cortes to the San Juan Islands in early sum­mer. Fri/​Sat are most con­gested between 9am and 4pm where pas­sen­gers would have to wait in line for mul­ti­ple ferry […]

Big Data Bookshelf: Data Flow 2

Data Flow 2 presents many use­ful exam­ples of data visu­al­iza­tion which are orga­nized by the form of the chart or info­graphic: Data Maps — maps and car­tograms Data Process — process or flow charts Data Blocks — bar carts, colum­nar charts, 3d blocks Data Cir­cles — cir­cles, pie charts It’s a use­ful book with lots […]

Featured Chart: Linguistic Geography of Bubbler vs. Water Fountain

This week’s chart is a visu­al­iza­tion of usage for “Water Foun­tain” vs. Drink­ing Foun­tainvs. “Bub­bler”. Water foun­tain pre­dom­i­nates in the south and north­east, while drink­ing foun­tain in the west. “Bub­ble” is regional in the upper Mid­west. The inter­ac­tive appli­ca­tion is avail­able from Joshua Katz a PhD can­di­date in sta­tis­tics at NC State. There are a […]

Big Data Bookshelf : DAX Formulas for PowerPivot

Power­pivot is an addin for Microsoft Excel which enables analy­sis of larger data sets (>1M rows) within Excel and also more sophis­ti­cated analy­sis that typ­i­cally would involve mul­ti­ple SQL queries with com­plex data joins. I blogged about learn­ing Pow­er­pivot last year. One of the dif­fi­cult things is the lack of usable doc­u­men­ta­tion or cook­books on […]

Big Data Bookshelf: Data Points: Visualization that Means Something

In the newly released book Data Points: Vsu­al­iza­toin that Means Some­thing, Nathan Yau (Flow­ing Data blog) shares his ideas on under­stand­ing, visu­al­iz­ing, and ana­lyz­ing data. The exam­ples are use­ful and imple­mentable. Many focus on sets of graphs with mul­ti­ple dimen­sions of data, rather than a sin­gle chart type. The author also presents ideas and examples […]

Navigating Taxonomic Content

Effec­tive con­tent tool from Wikipedia for nav­i­gat­ing con­tent relat­ing tax­o­nomic nav­i­ga­tion for the ani­mal king­dom. This exam­ple shows the Euro­pean Hedge­hog. It com­bines a photo, con­ser­va­tion sta­tus, bino­mial name (Latin name) tax­o­nomic clas­si­fi­ca­tion , and maps of dis­tri­b­u­tion. It’s pos­si­ble to nav­i­gate from species to fam­ily to order and then back to spe­cific gen­era and […]