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DataReshapers

Guides

  • Data reshaping functions

Tech Notes

  • Data transformation workflows
  • Long form data transformation
  • Wide form data transformation

Symbols

  • CrossTabulate
  • CrossTabulationMatrixQ
  • CrossTensorate
  • CrossTensorateSplit
  • DatasetToMatrix
  • GridTableForm
  • LongFormDataset
  • PivotLonger
  • RecordsSummary
  • RecordsToLongFormDataset
  • RecordsToWideFormDataset
  • SeparateColumn
  • ToAutomaticKeysAssociation
  • TypeOfDataToBeReshaped
  • WideFormDataset
AntonAntonov`DataReshapers`
TypeOfDataToBeReshaped
​
TypeOfDataToBeReshaped
[data]
gives association with data type elements.
​
Details and Options

Examples  
(1)
Basic Examples  
(1)
Here is a random dataset:
In[1]:=
SeedRandom[3377];​​ds=ResourceFunction["RandomTabularDataset"][{7,4}]
Out[1]=
collectivization
masher
defenestration
hammer
reply
eighties
9.06844
soundly
unmodified
accentuation
-4.26345
consummated
unloaded
participation
-4.91315
unity
holidaymaker
digestible
-1.419
outerwear
self-starter
plaintiff
-4.40824
discretionary
freaky
upbraid
2.01013
stereoscopic
physiologist
development
5.32272
predominance
Here is the corresponding type association:
In[2]:=
TypeOfDataToBeReshaped
[ds]
Out[2]=
TypeDataset-ColumnNames-NoRowNames,ColumnNames{collectivization,masher,defenestration,hammer},RowNamesNone
Here is another random dataset:
In[3]:=
SeedRandom[333];​​ds2=ResourceFunction["RandomTabularDataset"][{7,3},"RowKeys"True]
Out[3]=
derivative
afterimage
southwester
1
tormentor
4.21101
8.66525
2
prefect
-3.48215
-1.08629
3
bleached
2.19629
9.70654
4
overemphasis
1.97326
4.47936
5
loot
-5.21783
-5.01923
6
none
1.26528
7.46432
7
nucleolus
-3.04469
-9.36154
Here is the corresponding type association:
In[4]:=
TypeOfDataToBeReshaped
[ds2]
Out[4]=
TypeDataset-ColumnNames-RowNames,ColumnNames{derivative,afterimage,southwester},RowNames{1,2,3,4,5,6,7}
SeeAlso
LongFormDataset
 
▪
WideFormDataset
""

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