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Julia Data Science

1.1 What is Data Science?

1.2 Software Engineering

1.3 Acknowledgements

2.1 For Non-Programmers

2.2 For Programmers

2.3 What Julia Aims to Accom..

2.4 Julia in the Wild

3.1 Development Environments

3.2 Language Syntax

3.3 Native Data Structures

3.4 Filesystem

3.5 Julia Standard Library

4 DataFrames.jl

4.1 Load and Save Files

4.2 Index and Summarize

4.3 Filter and Subset

4.5 Types and Categorical Da..

4.7 Variable Transformations

4.8 Groupby and Combine

4.9 Missing Data

4.10 Performance

5 DataFramesMeta.jl

5.2 Column Selection

5.3 Column Transformation

5.4 Row Selection

5.5 Row Sorting

5.6 Data Summaries

5.7 Piping Operations

6 Data Visualization with Ma..

6.1 CairoMakie.jl

6.2 Attributes

6.3 Create Plot Figure

6.4 Cheat Sheets

6.6 Using LaTeXStrings.jl

6.7 Colors and Colormaps

6.8 Layouts

6.9 GLMakie.jl

6.10 A Makie recipe for a Da..

7 Data Visualization with Al..

7.2 Layouts

7.3 Statistical Visualizatio..

7.4 Plot Customizations

7.5 Makie.jl and AlgebraOfGr..

8.1 Packages Versions

8.2 Notation

8 Appendix

7.5 Makie.jl and AlgebraOfGr.. ← → 8.1 Packages Versions

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CC BY-NC-SA 4.0 Jose Storopoli, Rik Huijzer, Lazaro Alonso