The convert command can convert to an Array, Matrix, listlist, Vector, or list.

The conversions to Array, Matrix, and Vector accept any number of extra arguments which are passed to the appropriate data structure constructor. You can use this to, for example, set the order of the new data structure by passing a order = o option.

Data sets are typically large enough that converting the whole data set will require a substantial amount of time to download all the metadata. Converting smaller subsets will take less time.

$\mathrm{with}\left(\mathrm{DataSets}\right)\:$

$\mathrm{ref}≔\mathrm{Reference}\left(''Builtin''\,''Country''\right)$

$\mathrm{ref}≔\left[\begin{array}{ccccc}\mathrm{Country\; (Name)}& \mathrm{CO2\; Emissions}& \mathrm{CPI\; Change}& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \mathrm{(124\; more)}\\ \mathrm{Afghanistan}& \mathrm{TimeSeries\; 9809.225}& \mathrm{TimeSeries\; 4.9759515055383}& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Albania}& \mathrm{TimeSeries\; 5716.853}& \mathrm{TimeSeries\; 1.41109078954244}& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Algeria}& \mathrm{TimeSeries\; 145400.217}& \mathrm{TimeSeries\; 1.95176821052894}& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\ddots }\right]\right)& \\ \mathrm{(182\; more)}& & & & \end{array}\right]$

$\mathrm{convert}\left({\mathrm{ref}}_{1..3\,1..3}\,\'\mathrm{Matrix}\'\right)$

$\left[\begin{array}{cccc}''Afghanistan''& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 13\; rows\; (annual),\; 1\; column}\\ \mathrm{2005-12-31\; -\; 2017-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 59\; rows\; (annual),\; 1\; column}\\ \mathrm{1960-12-31\; -\; 2018-12-31}\end{array}\right]\\ ''Albania''& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 28\; rows\; (annual),\; 1\; column}\\ \mathrm{1992-12-31\; -\; 2019-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 41\; rows\; (annual),\; 1\; column}\\ \mathrm{1978-12-31\; -\; 2018-12-31}\end{array}\right]\\ ''Algeria''& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 50\; rows\; (annual),\; 1\; column}\\ \mathrm{1970-12-31\; -\; 2019-12-31}\end{array}\right]& \left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1954-12-31\; -\; 2018-12-31}\end{array}\right]\end{array}\right]$

$\mathrm{convert}\left({\mathrm{ref}}_{1..3\,1..3}\,\'\mathrm{listlist}\'\right)$

$\left[\left[''Afghanistan''\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 13\; rows\; (annual),\; 1\; column}\\ \mathrm{2005-12-31\; -\; 2017-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Afghanistan}\\ \mathrm{Quandl\; WWDI/AFG\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 59\; rows\; (annual),\; 1\; column}\\ \mathrm{1960-12-31\; -\; 2018-12-31}\end{array}\right]\right]\,\left[''Albania''\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 28\; rows\; (annual),\; 1\; column}\\ \mathrm{1992-12-31\; -\; 2019-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Albania}\\ \mathrm{Quandl\; WWDI/ALB\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 41\; rows\; (annual),\; 1\; column}\\ \mathrm{1978-12-31\; -\; 2018-12-31}\end{array}\right]\right]\,\left[''Algeria''\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{CO2\; emissions\; (kt)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_EN\_ATM\_CO2E\_KT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1950-12-31\; -\; 2014-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Inflation,\; consumer\; prices\; (annual\; \%)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_FP\_CPI\_TOTL\_ZG}\\ \mathrm{up\; to\; 50\; rows\; (annual),\; 1\; column}\\ \mathrm{1970-12-31\; -\; 2019-12-31}\end{array}\right]\,\left[\begin{array}{c}\mathrm{Data\; set}\\ \mathrm{Mortality\; rate,\; under-5\; (per\; 1,000\; live\; births)\; -\; Algeria}\\ \mathrm{Quandl\; WWDI/DZA\_SH\_DYN\_MORT}\\ \mathrm{up\; to\; 65\; rows\; (annual),\; 1\; column}\\ \mathrm{1954-12-31\; -\; 2018-12-31}\end{array}\right]\right]\right]$

$\mathrm{refg}≔\mathrm{Reference}\left(''Builtin''\,''GeoNames''\right)$

$\mathrm{refg}≔\left[\begin{array}{ccccc}\mathrm{Geonames\; (GeoNamesid)}& \mathrm{Name}& \mathrm{Type}& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \mathrm{(7\; more)}\\ \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{68}\right]\right)& \mathrm{Boneh-ye\; Mehdi}& ''section\; of\; populated\; place''& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{121}\right]\right)& \mathrm{Lab\; Sefid}& ''locality''& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{166}\right]\right)& \mathrm{Gorizi}& ''locality''& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\dots }\right]\right)& \\ \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{⋮}\right]\right)& \mathrm{Typesetting}:-\mathrm{\_Hold}\left(\left[\mathrm{\ddots }\right]\right)& \\ \mathrm{(1155858\; more)}& & & & \end{array}\right]$

$\mathrm{convert}\left({\mathrm{refg}}_{\left[\mathrm{Name}\&equals;''Paris''\&comma;1000000<\mathrm{Population}\right]}\&comma;\&apos;\mathrm{Matrix}\&apos;\right)$

$\left[\begin{array}{cccccccccc}''2968815''& ''Paris''& ''second-order\; administrative\; division''& 48.8534000000000006& 2.34859999999999980& ''France''& ''Ile-de-France''& ''Paris''& 2257981& ''Europe/Paris''\\ ''2988506''& ''Paris''& ''third-order\; administrative\; division''& 48.8533899999999974& 2.34864000000000006& ''France''& ''Ile-de-France''& ''Paris''& 2257981& ''Europe/Paris''\\ ''2988507''& ''Paris''& ''capital\; of\; a\; political\; entity''& 48.8534099999999967& 2.34880000000000022& ''France''& ''Ile-de-France''& ''Paris''& 2138551& ''Europe/Paris''\end{array}\right]$

The DataSets[Builtin][Reference][convert] command was introduced in Maple 2015.

For more information on Maple 2015 changes, see Updates in Maple 2015.