Dataframe

Dataframe and columnar/tabular data processing

Dataframes are essential to process structured data (say Name, Age, number of products bought, last time of visit). They allow very efficient data manipulation, including easily creating new columns, joining dataframes, converting between types.

Notable non-Nim packages include Python Pandas and R datatable. When data does not fit in RAM, dataframe packages are interfaced with SQL or HDF5 datastores or even Spark for very large scale processing.

NimData

NimData provides dataframe facilities to Nim

Status: in-progress

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