The text we have written here has been somewhat lost. Observable has not been very stable when editing collaboratively. Good that we worked on a separate document on Drive and had a copy. I think we should consider making copies of this Observable documents in a different format (e.g., as Markdown files and/or as pdf documents as a minimum).
Observable doesn't really meet the requirements for a persistent resource, and it is a company, so a bit uneasy to save all our work here.
A lot of this is very abstract and it will be hard for a reader to work out what it means. E.g.
"Relating individual level representations and group-level summaries are important in understanding member-class associations"
I'm not at all sure what this means.
IT'S NOT AT ALL CLEAR WHERE Spatially Correlated Small Multiples comes in.
Is that the idiom?
Fine if so, but explain it!
If the idiom is not implemented and available or adequately described, that's a big deal - be clear about this!
There is no one single idiom we base this on. Spatially Correlated SM implements maybe some of this, so it is a relevant reference but not something we would base this wholly on.
Very nice! The result is a series of spatially ordered small multiples. I like the "Our approach" description - but will people know what conditioning and faceting are?
Wow! An early use of stripplots in 1664 according to this bibliography here. Really impressive historical mini-review here - http://fmwww.bc.edu/RePEc/bocode/s/stripplot.html :
"There is not a sharp distinction in the literature or in software
implementations between dot plots and strip plots. Commonly, but with
many exceptions, a dot plot is drawn as a pointillist analogue of a
histogram. Sometimes, dot plot is used as the name when data points are
plotted in a line, or at most a narrow strip, against a magnitude axis.
Strip plot implementations, as here, usually allow stacking options, so
that dot plots may be drawn as one choice.
Such plots under these and yet other names go back at least as far as
Langren (1644): see Tufte (1997, p.15) and in much more detail Friendly
et al. (2010). Sasieni and Royston (1996) and Wilkinson (1999) give
general discussions and several further references of historical
interest. Monkhouse and Wilkinson (1952) used the term dispersion
diagrams. Pearson (1956) gives several examples. Dickinson (1963) used
the term dispersal graphs. Box et al. (1978) used the term dot diagrams.
Chambers et al. (1983), Becker et al. (1988) and Cleveland (1994) used
the term one-dimensional scatter plots, as did Lee and Tu (1997) and
Reimann et al. (2008). Ryan et al. (1985) discuss their Minitab
implementation as dotplots. Cleveland (1985) used the term point graphs.
The term oneway plots appears to have been introduced by Computing
Resource Center (1985). Feinstein (2002, p.67) uses the term one-way
graphs. The term strip plots (or strip charts) (e.g. Dalgaard 2002;
Venables and Ripley 2002; Robbins 2005; Faraway 2005; Maindonald and
Braun 2007) appears traceable to work by J.W. and P.A. Tukey (1990). The
term dit plots appears in Ellison (1993, 2001). The term linear plots
appears in Hay (1996) and that of line plots in Klemelä (2009) and
Schenemeyer and Drew (2011).
Tufte (1974), Berry (1996), Cobb (1998), Griffiths et al. (1998), Bland
(2000), Wild and Seber (2000), Robbins (2005), Young et al. (2006),
Morgenthaler (2007), Warton (2008) and Keen (2010) show many interesting
examples of strip plots.
Hybrid dot-box plots were used by Monkhouse and Wilkinson (1952), Gregory
(1963), Matthews (1981), Wilkinson (1992, 2005), Wild and Seber (2000),
Ellison (2001), Quinn and Keough (2002) and Young et al. (2006). Box
plots in widely current forms are best known through the work of Tukey
(1972, 1977). Similar ideas go back much further. Cox (2009) gives
various references. Bibby (1986, pp.56, 59) gave even earlier references
to their use by A.L. Bowley in his lectures about 1897 and to his
recommendation (Bowley, 1910, p.62; 1952, p.73) to use minimum and
maximum and 10, 25, 50, 75 and 90% points as a basis for graphical
summary. Keen (2010) also discusses several variants of box plots.
Dot charts (also sometimes called dot plots) in the sense of Cleveland
(1984, 1994), as implemented in graph dot, are quite distinct.
See also Cox (2004) for a general discussion of graphing distributions in
Stata; Cox (2007) for an implementation of stem-and-leaf plots that bears
some resemblance to what is possible with stripplot; and Cox (2009) on
how to draw box plots using twoway.
"
Make sure these are in the spreadsheet in BibTex format : Jianu, Radu and Turkay, Cagatay, ...
Oh bloody hell, I am half way there - I'll do it.
Jianu, Radu and
Turkay, Cagatay and
Vidal, Franck and
Fang, Hui and
Rahat, Alma and
Nguyen, Phong and
Gonen, Tuna
It's easy to see similarities within clusters, but hard to compare clusters with this layout.
You claim that "The more deprived areas seem to have longer first and second peaks" but this requires some mental gymnastics that you could really help with vertical alignment.
Again, mapping would be helpful.