Dive into a comprehensive 3-hour workshop on DataFrames.jl 1.0, presented at JuliaCon 2021. Learn to create, manipulate, and analyze data frames in Julia, covering topics such as basic DataFrame operations, file I/O with CSV.jl and Arrow.jl, indexing, filtering, sorting, joining, reshaping, and column transformations. Explore advanced functionalities like bootstrapping and custom sorting. Follow along with hands-on examples, including building a predictive model and creating plots with error bars. Suitable for those with prior experience in data frames from R or Python, this tutorial provides a solid foundation for working with DataFrames.jl in your data analysis projects.
DataFrames.jl 1.0 Tutorial - Introduction and Advanced Functionalities
The Julia Programming Language via YouTube
Overview
Syllabus
Welcome!.
First round of questions https://pigeonhole.at/DATAFRAME.
Clone the repository.
More questions.
Pkg.instantiate().
Start notebook.
Questions.
Statistical prerequisites (start of notebook).
Load packages.
More questions.
Resume tutorial (cell 5).
Transformation mini language (cell 7).
Questions.
Break.
Resume questions.
Resume tutorial ("Exploratory data analysis" / cell 10).
Building a predictive model.
Break.
Questions.
Advanced DataFrames.jl functionalities: bootstrapping example (cell 32).
plot with error bars (cell 44).
Redo using Bootstrap.jl (cell 45).
Unnesting (cell 50).
Reordering columns (cell 51).
Sorting on custom function (cell 53).
Questions.
Summary.
Taught by
The Julia Programming Language
