Installation | Syntax | Examples | Feedback | Change log
(15 Jan 2024)
A Stata package for circle packing. It is based on D3's packEnclose and Python's circlify algorithms.
The package can be installed via SSC or GitHub. The GitHub version, might be more recent due to bug fixes, feature updates etc, and may contain syntax improvements and changes in default values. See version numbers below. Eventually the GitHub version is published on SSC.
The SSC version (v1.2):
ssc install circlepack, replace
Or it can be installed from GitHub (v1.2):
net install circlepack, from("https://raw.githubusercontent.com/asjadnaqvi/stata-circlepack/main/installation/") replace
The palettes
package is required to run this command:
ssc install palettes, replace
ssc install colrspace, replace
Even if you have the package installed, make sure that it is updated ado update, update
.
If you want to make a clean figure, then it is advisable to load a clean scheme. These are several available and I personally use the following:
ssc install schemepack, replace
set scheme white_tableau
You can also push the scheme directly into the graph using the scheme(schemename)
option. See the help file for details or the example below.
I also prefer narrow fonts in figures with long labels. You can change this as follows:
graph set window fontface "Arial Narrow"
The syntax for the latest version is as follows:
circlepack numvar [if] [in], by(variables (min=1, max=3))
[ pad(num) points(num) angle(num) circle0 circle0c(str) format(str) palette(string) share
labprop titleprop labscale(num) threshold(num) fi(list) addtitles novalues nolabels labsize(num)
title(str) subtitle(str) note(str) scheme(str) name(str) ]
See the help file help circlepack
for details.
The most basic use is as follows:
circlepack numvar, over(variable(s))
where numvar
is a numeric variable, and over()
are upto three variables, defined from more aggregate to finer levels.
Set up the data:
clear
set scheme white_tableau
graph set window fontface "Arial Narrow"
use "https://github.com/asjadnaqvi/stata-circlepack/blob/main/data/demo_r_pjangrp3_clean.dta?raw=true", clear
circlepack pop, by(NUTS0) format(%15.0fc) title("Population of European countries")
circlepack pop, by(NUTS0) title("Population of European countries") noval
circlepack pop, by(NUTS0) title("Population of European countries") circle0 noval
circlepack pop, by(NUTS0 NUTS1) format(%15.0fc) noval circle0
circlepack pop, by(NUTS0 NUTS1) format(%15.0fc) noval addtitles
circlepack pop, by(NUTS0 NUTS1 NUTS2) format(%15.0fc) nolab pad(0.06)
circlepack pop if NUTS0=="AT", by(NUTS1 NUTS2 NUTS3) ///
addtitles noval format(%15.0fc) circle0 ///
title("Population of Austria at NUTS2 and NUTS3 level")
circlepack pop if NUTS0=="NL", by(NUTS2 NUTS3) addtitles ///
format(%15.0fc) title("Population of Netherlands at NUTS2 and NUTS3 level")
circlepack pop if NUTS0=="NL", by(NUTS1 NUTS2 NUTS3) ///
addtitles noval format(%15.0fc) title("Population of Netherlands at NUTS1-NUTS3 level") ///
palette(CET L10)
circlepack pop if NUTS0=="NL", by(NUTS1 NUTS2 NUTS3) ///
addtitles noval format(%15.0fc) title("Population of Netherlands at NUTS1-NUTS3 level") ///
palette(CET L10) points(6) pad(0.3)
circlepack pop if NUTS0=="PT", by(NUTS2 NUTS3) ///
addtitles noval format(%15.0fc) title("Population of Portugal at NUTS1-NUTS3 level") ///
palette(CET C6) points(12) pad(0.1)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle labprop titleprop
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle labprop titleprop labs(1.5 2.5)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle labprop titleprop threshold(1000000)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle labprop titleprop labcond(1000000)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS2 NUTS3) addtitle labprop titleprop labcond(1000000)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS2 NUTS3) nolab fi(10 40 80)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS2 NUTS3) nolab fi(40 60 100)
circlepack pop if NUTS0=="ES", by(NUTS1 NUTS3) addtitle labprop titleprop threshold(1000000) share
Please open an issue to report errors, feature enhancements, and/or other requests.
v1.2 (15 Jan 2024)
- Fixed several local bugs.
- Code clean ups.
v1.1 (16 May 2023)
- Major update with several new options added to align it with the
treemap
package. labprop
,titleprop
,labscale()
,threshold()
,fi()
,share
options added.- Minor fixes to the code.
v1.01 (24 Nov 2022)
- Sorting stabilized to prevent random circlemap layouts.
- Negative and zero values are automatically dropped.
- Improved precision of variables.
- Minor fixes in the code.
v1.0 (08 Sep 2022)
- First release