The following should all appear identical but were generated via different data functions.
Data from columnsData from rowsData from jsonData from csv fileData from tsv fileData from csv file using custom dsv with comma delimeterData from json fileData named inline data row sourceData named inline data column sourceData named inline json source
Named datasets
Named data inline sourceNamed data url sourceNamed data but with no data specified
Loaded geo Files
Data from external topojson file. Should show London boroughs in multiple nominal colours with legend.
Programatically generated geoFiles
Data from inline geo file. Should be two coloured regions with legend.
Data transforms
Flattened data structures from arrays.Folded data structures into key,value pairs.
Data imputation
Simple imputation as a transform adding missing values when a=3 and c=1 by inserting b=0Simple imputation as a transform adding missing values when a=3 and c=1 by inserting b= mean of non-missing b values when c=1.Simple imputation as a transform adding missing values when a=3 and c=1 by inserting b= mean of previous two b values when c=1.Simple imputation as a channel adding missing values when a=3 and c=1 by inserting b=0Simple imputation as a channel adding missing values when a=3 and c=1 by inserting b= mean of non-missing b values when c=1.Simple imputation as a channel adding missing values when a=3 and c=1 by inserting b= mean of previous two b values when c=1. Simple imputation as a channel inserting b=100 when a is 4 Simple imputation as a channel inserting b=100 when a is between 4 and less than 6