07-22, 13:30–17:00 (US/Eastern), PH 203N
A case-study based tutorial on working with tabular data using the DataFrames.jl package.
The workshop provides an overview of all major functionality provided in the DataFrames.jl package. It is organized around solving several practical case-studies of working with tabular data and covers in particular:
* Reading/writing tabular data, getting summary information about data.
* Handling missing values and categorical data.
* Standard transformations of tabular data (sorting, filtering, mutating, joining, reshaping, grouped operations, tabulating etc.).
* Plotting of tabular data.
* Performance considerations of using the DataFrames.jl package.
I am a researcher in the fields of operations research and computational social science.
For development work I mostly use Julia language.
You can find more information about me on my personal website or GitHub.