The purpose of the RawData module is to intelligently extract a data table, column headers, and metadata from a string representing data in one of several formats — csv, tab-delimited, or space-delimited. With the second, one can extract a list of Points in the xy plane from a data table.
Example:
> import SampleData
> import RawData
> RawData.get SampleData.temperature
Just {
columnHeaders = ["Year","Value"]
, metadata = ["Global Land and Ocean Temperature Anomalies"
,"January-December 1880-2016"
,"Units: Degrees Celsius"
]
, rawData = [["1880","-0.12"],["1881","-0.07"],["1882","-0.08"]
["1883","-0.15"], ...Example:
> SampleData.eb2
|> RawData.get
|> Maybe.map (RawData.toData 0 1)
|> Utility.maybeJoin
Just [(0,1),(0,0.9),(1,1.8),(0,1),(1,2),(1,2.2),(0,1.1)]
A RawData value consists of metadata, columnHeaders, and data. The first two are lists of strings, while the last is a list of records, where a record is a lest of strings.