Take your first steps toward complex data manipulation in Julia! Learn how to personalize your experience with the DataFrames package and how to create data visualizations using the Plots package. 

Diving into DataFrames

Symbols vs. Strings

Describe it to me

Missing anything?

Selecting columns

Column selection

Selecting patterns

Regular penguins

Exploring Data with Visualizations

Flipper distribution

Rating vs. cocoa percentages

Plotting minimum wages over time

Inspecting DataFrames

Columns are the basic building blocks of DataFrames. Knowing how to handle columns is essential for your data manipulation journey. You'll learn how to reorder and drop columns, as well as how to apply functions to individual rows and whole columns. 

Dropping and moving columns

Penguin drop

Reordering of wages

Manipulating columns

Using select()

Penguin transformations

Combining chocolates

What shall you use?

Creating new columns

Copy the capitals

Column or row?

Chocolate percentages

Working with columns

In this chapter, you'll learn how to group data and calculate grouped summary statistics, as well as how to create pivot tables. You'll also learn how to improve the readability of your code with the Chain.jl package.

Samengegroepeerde gegevens verkennen

Lonen op meerdere manieren

Aantal pinguïngroepen

Unieke cacaobonen

Dubbele rijen of niet?

Gegroepeerde samenvattende statistieken

Kenmerken van pinguïns

Chocoladelocatie vs. beoordeling

Data pivoteren

Lonen herstructureren

Chocolade-locatiepivot

Leesbaarheid verbeteren met Chain.jl

Chocola chaining

Pinguïns plotten met chain

Minimumloon per regio

Aggregating DataFrames

Learn how to load and join datasets, as well as how to handle missing values. Then it's time to fit everything together! 

Loading and writing CSV files

Decimals and delimiters

Loading the 80s

Write it down

Joining data

State joins capitals

Penguin joins

Handling missing values

Dropping missing values

Replacing rating with median

Replacing rating with group median

Efficient workflow

First steps with flights

Missing delays?

Delays on US airports

Wrap-up

Improving  Your Workflow

Flights

Chocolates

US_minimum_wages

Airports

Airlines

Julia is een nieuwe en spannende programmeertaal, ontworpen voor Machine Learning, wetenschappelijk rekenen en data mining. Deze cursus geeft je de kennis die je nodig hebt om je eigen reis in datamanipulatie met Julia te starten.

We bouwen voort op je kennis van DataFrames uit de cursussen Introduction to Julia en Intermediate Julia. Aan het einde van de cursus beschik je over de basisvaardigheden om DataFrames te inspecteren, transformeren, groeperen en visualiseren, en nog veel meer.

Introduction to Julia

Intermediate Julia

Beheers essentiële vaardigheden in Julia: inspecteer, transformeer, groepeer en visualiseer DataFrames.

Data manipulatie in Julia

Leer de basisvaardigheden van datamanipulatie in Julia. Ontdek hoe je DataFrames kunt bekijken, veranderen, groeperen en visualiseren met echte datasets.

Samengegroepeerde gegevens verkennen

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