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


From   <Stefan.Gawrich@hlpug.hessen.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   AW: st: AW: Graph: Colouring table cells based on conditions or data distribution
Date   Fri, 16 Oct 2009 15:06:41 +0200

Ma*n, thanks for pointing out the talk slides(?) and N*ck for writing them. 
Just looked a bit into them and found some very interesting graphs I didn't see before. 
"Table plots" seem to be a good alternative for colouring.

Nick Cox wrote:
Colour-coding cells, however, covers at least two kinds of idea: 

1. Qualitative coding: Look! This cell contains a very high value, [...]
2. Quantitative coding: Look! In addition to showing you the values, I am also using a series of colour shades. [...]


Indeed, color shading like in the given example may not enhance the readability of a table. I also found that the excel algorithm (which I don't know) leads to strange results sometimes. 

I use quantitative coding only with few colour categories (beside: I mainly use greys, yellow to brown, purples or - if applicable to the data - traffic lights: green, yellow and red).

One example of the last: 24 regional units deliver data to one dataset I maintain. Last year we had a major shift in data documentation causing a lot of problems inside the regional agencies. After receiving the data I calculated the proportion of missing values for each var by regional unit (>1000 cells) with Stata. I copied the resulting "missing data matrix" to Excel and applied colours (<5%: green; 5- <20%: yellow, 20%+: red). During the process of data preparation I updated this table on a daily basis and it proved to be a valuable tool. 

Thanks

St*n




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