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Re: st: AW: Graph: Colouring table cells based on conditions or data distribution


From   Austin Nichols <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: AW: Graph: Colouring table cells based on conditions or data distribution
Date   Fri, 16 Oct 2009 13:13:59 -0400

Nick Cox <n.j.cox@durham.ac.uk> :
So maybe you pick a yellow-purple gradation instead--the color palette
choice I was assuming was a user choice...

sysuse nlsw88, clear
g g=max(grade,8)
la var g "Years of education"
ren married m
collapse wage, by(g m)
g w=round(wage,.01)
su wage, meanonly
g c=round((wage-r(min))/(r(max)-r(min))*255)
qui levelsof c, loc(cs)
loc g
foreach c of loc cs {
 loc c1=120+round(`c'/2)
 loc c2=255-round(`c'/2)
 loc m mc("`c2' `c2' `c1'")
 loc g `g'||sc m g if c==`c', ms(S) msize(ehuge) `m'
 }
loc g `g'||sc m g, ms(i) mlab(w) mlabp(0)
loc g `g' leg(off) yla(-.75 " " 0 "N" 1 "Y" 1.75 " ", notick)
loc g `g' xla(7 " " 8/18 19 " ", notick)
tw `g'  scheme(s1mono) ti(Wage heat map) xsize(8) ysize(5)


On Fri, Oct 16, 2009 at 12:12 PM, Nick Cox <n.j.cox@durham.ac.uk> wrote:
> Another red-green gradation!
>
> http://en.wikipedia.org/wiki/Color_blindness#Red-green_color_blindness
>
> In two books that have crossed my desk recently, (subdued) orange and
> blue are used for basic contrasts of two categories to good effect.
>
> Few, Stephen. 2009. Now you see it: Simple visualization techniques for
> quantitative analysis. Oakland, CA: Analytics Pres.
>
> Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome. 2009.
> The elements of statistical learning: Data mining, inference, and
> prediction. New York: Springer.
>
> Nick
> n.j.cox@durham.ac.uk
>
> Sergiy Radyakin
>
> have a look at this page:
>
> http://www.adeptanalytics.org/radyakin/stata/graphics/radyakin_graphics.
> htm
>
> If this is something that you are looking for, contact me to get the
> program files.
>
> On Fri, Oct 16, 2009 at 3:33 AM,  <Stefan.Gawrich@hlpug.hessen.de>
> wrote:
>>
>> many of you may know this feature from MS Excel (from Version 2007
> on).
>> It's more or less a "choropleth map" for data tables (cell colour
>> depends on cell value relative to the table distribution or on
>> conditions).
>> (see:
>> http://msdn.microsoft.com/en-us/library/bb428945%28office.11%29.aspx)
>>
>>
>> In my work I often have to display both a table (to pick data from)
> and
>> a graph (for visual impression) to users and I'm constantly trying to
>> combine both. Colouring tables is one way to do this if
> rules/conditions
>> are user-defineable.
>>
>> I thought about setting up a coloured twoway table in Stata but that
>> doesn't seem to be easy:
>>
>> Stata's results window doesn't allow for fancy tricks so the table
> must
>> be in a graph.
>>
>> Spmap by Maurizio Pisati has all colouring options I need and can be
> set
>> up with rectangular polygons and polygon centroids for labeling.
>> But it's not written for that purpose, so it's difficult to set up:
>> - a n*m polygon-coordinates dataset for each table must be created
>> - linkage of table cells to polygons
>> - handling of missing values and category "missing"
>> - use of value labels
>> - display of row and/or column totals (yes/no)
>> - ...
>>
>> I already started to produce some coloured tables with spmap but these
>> are only first tests.
>> I'm curious if there is any other graph framework available in Stata
>> which also may be suitable for this purpose.
>>

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