Closed valorkin closed 8 years ago
Number 3 is a no-issue: ddf--measures.csv defined 10 measures, but data present only for 7 A ddf-dataset should be valid with measures that are not used in datapoints. A viz-that wants to show data, should be able to ask for availability based on the ddf--index.csv, which will only mensions measures that have datapoints. So to populate a measure-dropdown on a axis for example: the query should not ask for "all measures" but for all measures with a datapoint for the current subdimension or dumension used for markers...
Didn't mean to close it
ok, so validator should at least give warning (notification) about empty measures
Yes, but it's not crucial. You can skip it for some time. the ddf--gapminder--ontology is a dataset with all our measures but not a single data-point. And that's perfectly fine.
There are some more things found: missing geo values:
Need to add missing 'country' dimension values: 'sen,srb,syc,sle,sgp,svk,svn,slb,som,zaf,esp,lka,sdn,sur,swz,swe,che,syr,twn,tjk,tza,tha,tls,tgo,ton,tto,tun,tur,tkm,tca,tuv,uga,ukr,are,gbr,usa,ury,uzb,vut,ven,pse,vnm,yem,zmb,zwe,ssd,sxm'
Need to add missing 'country' dimension values: 'tkl,esh,vir,ala'
in ddf--data_for--population--by--world_4region--year.csv
there datapoints with geo gaps (witt out geo.id)
Please observe: country is not a dimensions, but a subdimension I think all of these have been solved with my recent commit: https://github.com/open-numbers/ddf--gapminder--systema_globalis/commit/43acf5006c1f17938317a1078088247451ec0e5f
As for now I treat country
or any sub-dimension as dimension
for simplicity, doesn't meant anything special
just dimension with parent dimension
time
and subdimyear
are not defined inddf--dimensions.csv
life_exp
but file name isddf--data_for--life_expectancy--by--country
but should beddf--data_for--life_exp--by--country
same applies toddf--index.csv
ddf--measures.csv
defined 10 measures, but data present only for 7