Tools and techniques of working with tabular data

The objective of this minisymposium is to gather people interested in working with tabular data to allow them to discuss various aspects of the Julia ecosystem in this area.

The proposed list of talks is as follows:

• Ingesting larger data in Julia: evolution of JSON, Arrow, CSV support (Jacob Quinn)
• Tidier.jl: Bringing the Tidyverse to Julia (Karandeep Singh)
• What is new in DataFrames.jl - highlights of 1.4 and 1.5 releases. (Bogumił Kamiński)
• Timeseries data manipulation using TSFrames.jl. (Chirag Anand)
• Tips & tricks for printing tables using PrettyTables.jl. (Ronan Arraes J. Chagas)
• Working with geographical data using DataFrames.jl (Przemysław Szufel)
• Parallelizing your data with Dagger and DTables (Julian Samaroo)