- DataSkimmer.jl produces a summary of tabular data (e.g.
DataFrames), including histogram.
structs and tables.
SplitApplyCombine.jlcontains data manipulation routines, such as
splitdims(converting between vectors of vectors and matrices etc.),
innerjoin. Similar to what
DataFramesoffers, but for additional data types.
InvertedIndices.jlfor selecting when conditions are not true.
- only have a single combine with multiple transformations as in
combine(df, :a => sum, :b => mean)
- even with
combinein a row do not work. The result of each
combineis fed into the next step. Which makes sense.
Missings.jl has convenience functions for dealing with missing values.