Posts Tagged ‘ data ’

Tip of the day: don’t be Theranosed

May 23, 2016
By

Theranos (v): to spin stories that appeal to data while not presenting any data To be Theranosed is to fall for scammers who tell stories appealing to data but do not present any actual data. This is worse than story time, in which the storyteller starts out with real data but veers off mid-stream into unsubstantiated froth, hoping you and I got carried away by the narrative flow. Theranos (n):…

Read more »

Row-Level Thinking vs. Cube Thinking

May 23, 2016
By
Row-Level Thinking vs. Cube Thinking

Our mental model of a dataset changes the way we ask questions. One aspect of that is the shape of the data (long or wide); an equally important issue is whether we think of the data as a collection of rows of numbers that we can aggregate bottom-up, or as a complete dataset that we can slice top-down to ask … Continue reading Row-Level Thinking vs. Cube Thinking

Read more »

Dreadful analysis shows the importance of numbersense

May 9, 2016
By

Last year, Gizmodo capitalized on the fallout from the Ashley Madison hacking scandal and published a sensational article claiming the website that, if you haven't heard, promotes adultery, has "almost no" real women on it. The subtext is that millions of gullible, disloyal males were paying monthly fees to the website to do nothing or, cue the laugh track, to converse with "badly-designed robots." These men, according to Gizmodo, were…

Read more »

Dreadful analysis shows the importance of numbersense

May 9, 2016
By

Last year, Gizmodo capitalized on the fallout from the Ashley Madison hacking scandal and published a sensational article claiming the website that, if you haven't heard, promotes adultery, has "almost no" real women on it. The subtext is that millions of gullible, disloyal males were paying monthly fees to the website to do nothing or, cue the laugh track, to converse with "badly-designed robots." These men, according to Gizmodo, were…

Read more »

Myths of Data Science and Analytics

April 11, 2016
By

Last week, I gave some brief remarks at the INFORMS New York Metro Student-Practitioner Forum (link), attended by a large group of enthusiastic students eager to enter the field of data science and analytics. (By the way, if you are at the INFORMS Analytics Conference in Orlando, come and find me. I am speaking on Ethics on Tuesday morning.) I told the students that it is not too early to…

Read more »

First ask the right question: the data scientist edition

March 31, 2016
By
First ask the right question: the data scientist edition

A reader didn't like this graphic in the Wall Street Journal: One could turn every panel into a bar chart but unfortunately, the situation does not improve much. Some charts just can't be fixed by altering the visual design. The...

Read more »

dplyr workshop

March 11, 2016
By

dplyr workshop code{white-space: pre;} pre:not([class]) { background-color: white; } if (window.hljs && document.readyState && document.readyState === "complete") { window.setTimeout(function() { hljs.initHighlighting(); }, 0); } ...

Read more »

The day after the shock: pollsters, forecasters scratch their heads

March 11, 2016
By

Pollsters, forecasters, and the likes were embarrassed by the Bernie Sanders upset in Michigan Tuesday night. Nate Silver called it among the greatest polling error in primary history. Now, they are struggling to explain the big miss. Recall the polls conducted close to the contest showed a Clinton lead of about 20 percent points. The actual outcome was a gap of 1.5 points, with a million votes cast. This type…

Read more »

How to get fired, the data scientist edition

March 7, 2016
By

Investors of Herbalife (HLF) are owed a full explanation of the metrics disaster that the management disclosed suddenly to the SEC last week. As a regulator, the SEC should be requesting much more information about what happened. (Click on the 8K filed in March 2016. Here is the LA Times article.) On Feb 25, Herbalife management held an earnings call to discuss 2015 4th quarter and full year results. Investors…

Read more »

Know your data 18: your location is our product

February 2, 2016
By

In the last post in the Know Your Data series, I discussed how Uber can use its vast database of your personal trips against your personal interests. (This does not preclude the possibility that they use the data for your benefit.) It turns out that something more ominous is at foot… a number of news outlets have just published investigative reports about a company known as Vigilant Solutions (EFF, The…

Read more »


Subscribe

Email:

  Subscribe