SemanticImport to import to a
"TSV" spreadsheet into a
Dataset. Each row starts with a year name and then has 12 values, one for each month.
SemanticImport correctly interpreted the column names as months, and the first column as year, but the row entries under year are interpreted as data rather than names. Is there a way to turn them into names for the rows?
I don't believe
SemanticImport has the flexibility you want, so I'll use plain
Import instead (which is much faster) and then do some post-processing:
raw = Import["https://pastebin.com/raw/vihHYQsf", "Table"]; ds = Dataset[AssociationThread[IntegerString /@ raw[[2 ;;, 1]], AssociationThread[raw[[1, 2 ;;]], #] & /@ raw[[2 ;;, 2 ;;]]]]
where I needed to use
IntegerString to converts integers to proper labels.
ds["2009", "Oct"] 585.
Perhaps you can use
GroupBy on the "Year" column, and then drop the "Year" column:
import = SemanticImport["https://pastebin.com/raw/vihHYQsf"]; ds = GroupBy[import, "Year", First][All, KeyDrop["Year"]]
Then, we can extract the Jul, 2010 value using: