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289 andrew gelman stats-2010-09-21-“How segregated is your city?”: A story of why every graph, no matter how clear it seems to be, needs a caption to anchor the reader in some numbers


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Introduction: Aleks points me to this article showing some pretty maps by Eric Fisher showing where people of different ethnicity live within several metro areas within the U.S. The idea is simple but effective; in the words of Cliff Kuang: Fisher used a straight forward method borrowed from Rankin: Using U.S. Census data from 2000, he created a map where one dot equals 25 people. The dots are then color-coded based on race: White is pink; Black is blue; Hispanic is orange, and Asian is green. The results for various cities are fascinating: Just like every city is different, every city is integrated (or segregated) in different ways. New York is shown below. No, San Francisco is not “very, very white” But I worry that these maps are difficult for non-experts to read. For example, Kuang writes the following:: San Francisco proper is very, very white. This is an understandable mistake coming from someone who, I assume, has never lived in the Bay Area. But what’s amazing i


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Aleks points me to this article showing some pretty maps by Eric Fisher showing where people of different ethnicity live within several metro areas within the U. [sent-1, score-0.784]

2 The idea is simple but effective; in the words of Cliff Kuang: Fisher used a straight forward method borrowed from Rankin: Using U. [sent-3, score-0.158]

3 Census data from 2000, he created a map where one dot equals 25 people. [sent-5, score-0.369]

4 The dots are then color-coded based on race: White is pink; Black is blue; Hispanic is orange, and Asian is green. [sent-6, score-0.074]

5 The results for various cities are fascinating: Just like every city is different, every city is integrated (or segregated) in different ways. [sent-7, score-0.839]

6 No, San Francisco is not “very, very white” But I worry that these maps are difficult for non-experts to read. [sent-9, score-0.13]

7 For example, Kuang writes the following:: San Francisco proper is very, very white. [sent-10, score-0.068]

8 This is an understandable mistake coming from someone who, I assume, has never lived in the Bay Area. [sent-11, score-0.234]

9 But what’s amazing is that Kuang made the above howler after looking at the color-coded map of the city! [sent-12, score-0.244]

10 , here are the statistics : The city of San Francisco is 45% non-Hispanic white, 14% Hispanic, 7% black, and 31% Asian (with the remaining 3% being Native American, Pacific Islander, or reporting multiple races). [sent-15, score-0.313]

11 My point is that even a clean graph like Fisher’s–a graph that I love–can still easily be misread. [sent-18, score-0.293]

12 It always helps to point to one of the points or lines and explain exactly what it is. [sent-20, score-0.124]


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wordName wordTfidf (topN-words)

[('kuang', 0.49), ('francisco', 0.259), ('san', 0.243), ('city', 0.239), ('white', 0.219), ('fisher', 0.205), ('hispanic', 0.184), ('asian', 0.158), ('lived', 0.154), ('maps', 0.13), ('map', 0.122), ('amazing', 0.122), ('black', 0.12), ('graph', 0.116), ('islander', 0.112), ('segregated', 0.112), ('orange', 0.105), ('equals', 0.105), ('pacific', 0.105), ('showing', 0.102), ('metro', 0.101), ('borrowed', 0.097), ('cliff', 0.097), ('york', 0.093), ('bay', 0.085), ('integrated', 0.083), ('dot', 0.082), ('native', 0.081), ('races', 0.081), ('understandable', 0.08), ('pink', 0.079), ('ain', 0.079), ('within', 0.078), ('dots', 0.074), ('cities', 0.074), ('remaining', 0.074), ('fascinating', 0.069), ('ethnicity', 0.069), ('every', 0.069), ('aleks', 0.068), ('proper', 0.068), ('census', 0.068), ('different', 0.066), ('helps', 0.066), ('eric', 0.064), ('race', 0.063), ('straight', 0.061), ('clean', 0.061), ('created', 0.06), ('points', 0.058)]

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Introduction: I’ve always thought it looked strange to see people referred to in print as Black or White rather than black or white. For example consider this sentence: “A black guy was walking down the street and he saw a bunch of white guys standing around.” That looks fine, whereas “A Black guy was walking down the street and he saw a bunch of White guys standing around”—that looks weird to me, as if the encounter was taking place in an Ethnic Studies seminar. But maybe I’m wrong on this. Jay Livingston argues that black and white are colors whereas Black and White are races (or, as I would prefer to say, ethnic categories) and illustrates with this picture of a white person and a White person: In conversation, I sometimes talk about pink people, brown people, and tan people, but that won’t work in a research paper. P.S. I suspect Carp will argue that I’m being naive: meanings of words change across contexts and over time. To which I reply: Sure, but I still have to choose h

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