[02x06] DataFrames Part 1 of 3; PrettyTables; TypedTables; CSV; HTML | Julia Analysis for Beginners скачать в хорошем качестве

[02x06] DataFrames Part 1 of 3; PrettyTables; TypedTables; CSV; HTML | Julia Analysis for Beginners

In this tutorial, you will get an introduction to the DataFrames Package, which is one of the most powerful tools in Julia for Data Analysis. Learn the relationship between a Matrix, a Table and a DataFrame by creating one of each using the provided data set. As a bonus, you'll learn how to generate HTML code for your Tables and DataFrames so you can view them in a browser and in VS Code! Data for Tutorial: brand = ["Company A", "Company A", "Company A"] tier = ["Premium", "Economy", "Standard"] quantity = [10, 100, 50] price = [100, 10, 50] cost = [30, 7, 25] Schedule: New tutorials are posted on Sundays/Mondays. Prerequisite: Students must be familiar with Julia syntax and semantics. 00:00 Intro 01:05 Programming Environment 02:47 Matrix 09:20 Tidy Data & Tables 11:24 TypedTables 14:11 PrettyTables 17:56 DataFrames 29:30 Final Thoughts 30:08 Outro Links to Bogumił Kamiński's DataFrames Tutorials: Julia Academy -- Introduction to DataFrames.jl (v0.22): https://juliaacademy.com/p/introducti... GitHub -- An Introduction to DataFrames: https://github.com/bkamins/Julia-Data... Link to the GitHub Repository for this tutorial: https://github.com/julia4ta/tutorials... Links to the Julia Packages used in this tutorial: CSV v0.8.3: https://github.com/JuliaData/CSV.jl DataFrames v0.22.5: https://github.com/JuliaData/DataFram... PrettyTables v0.11.1: https://github.com/ronisbr/PrettyTabl... TypedTables v1.2.3: https://github.com/JuliaData/TypedTab... Links to My Video Playlists: Julia Analysis for Beginners Playlist:    • [02x01] Julia; VS Code; Iris Flower Data S...   Julia for Beginners Playlist:    • [01x01] How to Get Started with the Julia ...   Links to the Programming Environment: The Julia Programming Language v1.5.3 (free): https://julialang.org/ Microsoft Visual Studio Code v1.53.2 (free): https://code.visualstudio.com/ Notice of Non-Affiliation and Disclaimer: I am not affiliated, associated, authorized, endorsed by, or in any way officially connected with The Julia Programming Language, Julia Academy, Julia Computing, Microsoft, or any of their subsidiaries or their affiliates. Nor am I affiliated, associated, authorized, endorsed by, or in any way officially connected with any of the Julia Packages or VS Code Extensions that are included in this tutorial. All marks, emblems and images are registered trademarks of their respective owners. Use of them does not imply any affiliation with or endorsement by them.