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Michael Schettler
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Giraffe plot - I'll reapply for sure!
Commented Jul 9, 2018 on Headless people invade London, chart claims at Junk Charts
Headless people invade London, chart claims
Some 10 days ago, Mike B. on Twitter forwarded me this chart from Time Out: Mike added: "Wow, decapitations in London have really gone up!" A closer look at the chart reveals more problems. The axis labels are in the wrong places. It appears that the second dot represents 1940 and the second-l...
You wrote:
...the set of maps provides almost all information ...
I think you meant almost NO information...
Commented Jun 25, 2018 on Is the chart answering your question? Excavating the excremental growth map at Junk Charts
Is the chart answering your question? Excavating the excremental growth map
San Franciscans are fed up with excremental growth. Understandably. Here is how the Economist sees it - geographically speaking. *** In the Trifecta Checkup analysis, one of the questions to ask is "What does the visual say?" and with respect to the question being asked. The question is how muc...
Thinking about the blocks of age distribution I really question the bins chosen, especially that under 15 bin.
The study was actually a demographic survey of global census data, so I wonder, for each individual census, was the under 15 actually actively involved or was it just the parent, stating the under 15's religious affiliation?
Anywho, I would want to really penetrate the methodology before making any broad conclusions if this is an example of the analytical rigour.
Commented Apr 6, 2018 on Discoloring the chart to re-discover its plot at Junk Charts
Discoloring the chart to re-discover its plot
Today's chart comes from Pew Research Center, and the big question is why the colors? The data show the age distributions of people who believe different religions. It's a stacked bar chart, in which the ages have been grouped into the young (under 15), the old (60 plus) and everyone else. Fiv...
I think we might disagree on what is being optimized for.
My assumption as I was reading was that the algorithm would be optimized for cost/energy expenditures, therefore the fewest trips with no regard for passenger waiting times.
Commented Feb 5, 2018 on Public-private interests collide in an elevator moment at Big Data, Plainly Spoken (aka Numbers Rule Your World)
Public-private interests collide in an elevator moment
I just got out of an elevator - one of those "smart" ones in which there are barely any buttons inside the elevator itself. You press the floor number on the outside, and are assigned to one of the elevators. Two of us got inside this one elevator, one going to the 8th floor, the other 16th. T...
Hi qning;
Beautiful interactive chart. I had to slide down to about 380,000 population to find the first blue point, Atlanta Georgia (I assume that this is Metro Atlanta). At this population level there are more than 40 orange points.
Said differently, there are NO cities above 385,000 where the police are less white than the population. Pretty powerful conclusion.
Michael
Commented Apr 23, 2015 on Nice analysis of racial composition of police forces at Junk Charts
Nice analysis of racial composition of police forces
The Washington Post has a good idea. Using Census data, they computed the proportion of police force who are white and the corresponding proportion of citizens who are white, in different cities. In the following scatter plot, they singled out North Charleston, SC where the police force is 85% w...
Hi Kaiser;
The chart buries the lede.
I think the untold story in this data is that the majority of the US population falls in the dark blue section - people of colour under-represented on their local police forces. The "cities" in the light blue zone mostly consist of small towns and cities that one has never heard of.
Maybe a scaled bubble chart with some arbitrary (higher) absolute population cut-off, or if we want to know we could compare three charts, Small, Medium and Large populations.
Thoughts?
Michael
Commented Apr 21, 2015 on Nice analysis of racial composition of police forces at Junk Charts
Nice analysis of racial composition of police forces
The Washington Post has a good idea. Using Census data, they computed the proportion of police force who are white and the corresponding proportion of citizens who are white, in different cities. In the following scatter plot, they singled out North Charleston, SC where the police force is 85% w...
Brooks, David - agreement: see clock, stopped, correct twice/day
Commented Nov 6, 2014 on I can't believe I'm citing David Brooks on data at Big Data, Plainly Spoken (aka Numbers Rule Your World)
I can't believe I'm citing David Brooks on data
This is a first. I'm agreeing with David Brooks. Sort of. In his new NYT column titled "Death by Data" (link), Brooks disparaged the recently celebrated practice of using machine learning in electoral politics, such as trying to win elections "Obama-style" by targeting investments on the people ...
I like the version with lines because it makes explicit that the USPS prices are more driven by distance (within a weight segment) than UPS and Fedex.
The slope of the USPS segment lines varies directly with weight category and with distance within each weight category. The relationship between categories for UPS and Fedex doesn't seem as linear and within categories there doesn't seem to be much of a trend.
Commented Sep 8, 2014 on Playing with orientation and style at Junk Charts
Playing with orientation and style
I saw this nifty chart in the Wall Street Journal last week. The Post Office is competing with Fedex and UPS on pricing. The nice feature about this small dataset is that the story is very clear. In almost every setting, the old USPS prices were higher than those of Fedex and UPS, but have been ...
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