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From |
Nick Cox <njcoxstata@gmail.com> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Multiple single-variable stacked bar charts on the one axis |

Date |
Mon, 8 Apr 2013 09:51:51 +0100 |

For the record: 1. David recommended Naomi Robbins' book, which I endorse strongly. From http://www.nbr-graphs.com/resources/recommended-books/ it is evident that the reference should be Robbins, N.B. 2005, reissued June 2013. Creating More Effective Graphs. Chart House [originally Wiley-Interscience] 2. Natalie referred to -catplot- -catplot- is a user-written program from SSC and to -grc1leg- -grc1leg- is a user-written program from http://www.stata.com/users/vwiggins Nick njcoxstata@gmail.com On 8 April 2013 04:08, Natalie Herd <natalie@empiricaresearch.com.au> wrote: > Thanks for your advice David and Nick...I will look into some > alternative charts. On Sun, Apr 7, 2013 at 10:15 PM, David Hoaglin <dchoaglin@gmail.com> wrote: >> Stacked bar charts are usually an inferior way to display data. The >> book by Naomi Robbins (2005) has an accessible discussion of some >> alternatives. As a summary, it says, "Stacked bar chart: Do not use, >> because of their perceptual problems." Better displays have been >> available in the literature on statistical graphics for some time. >> See, for example, the book by Cleveland (1985). >> Cleveland, WS (1985). The Elements of Graphing Data. Wadsworth >> Advanced Books and Software. (Revised edition: Hobart Press, 1994) >> >> Robbins, NR (2005). Creating More Effective Graphs. Wiley-Interscience. On Sun, Apr 7, 2013 at 5:54 AM, Natalie Herd >> <natalie@empiricaresearch.com.au> wrote: >>> I am trying to create a stacked bar chart of 10 categorical variables >>> (3 categories per variable) on a single axis (i.e., 10 separate bars, >>> with the %s for each of the 3 categories stacked on top of one >>> another). >>> >>> The variables are fit1_cat thru fit10_cat. >>> >>> I have tried the following options: >>> >>> 1) I can get a single stacked bar for one variable by using the >>> following syntax: >>> >>> tab fit1_cat,g(fit1_cat_v2) >>> >>> graph hbar fit1_cat_v21-fit1_cat_v23, stack percent l1title(var 1) >>> >>> 2) Alternatively, I can also get a single stacked bar using catplot: >>> >>> catplot fit1_cat, asyvars stack percent l1title(var 1) >>> >>> 3) The final approach I have tried is running the 10 stacked bar >>> charts separately and then using grc1leg to combine them: >>> >>> grc1leg c1.gph c2.gph c3.gph c4.gph c5.gph c6.gph c7.gph c8.gph c9.gph >>> c10.gph, cols(1) imargin(0 0 0 0) ycommon xcommon legendfrom(c2.gph) >>> >>> Unfortunately, this last approach squashes the bottom bar due to the >>> presence of the y scale (something that I have excluded from all of >>> the other bars). I could just have no y scale, but that would not be >>> ideal. >>> >>> Is there a better way to achieve this type of chart? >>> >>> As an aside, is it possible to change the angle of the bar label >>> l1title, so that it runs horizontally rather than vertically? >>> >>> Thanks, Natalie >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/faqs/resources/statalist-faq/ >> * http://www.ats.ucla.edu/stat/stata/ > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Multiple single-variable stacked bar charts on the one axis***From:*Natalie Herd <natalie@empiricaresearch.com.au>

**Re: st: Multiple single-variable stacked bar charts on the one axis***From:*David Hoaglin <dchoaglin@gmail.com>

**Re: st: Multiple single-variable stacked bar charts on the one axis***From:*Natalie Herd <natalie@empiricaresearch.com.au>

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