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. 

Menghapus dan memindahkan kolom

Penguin drop

Mengurutkan ulang wages

Memanipulasi kolom

Menggunakan select()

Penguin transformations

Menggabungkan cokelat

Harus menggunakan apa?

Membuat kolom baru

Salin ibu kota

Opsi

Seluruh kolom

Baris individual

Kolom atau baris?

Persentase cokelat

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.

Exploring grouped data

Wages multiple ways

Penguin group counts

Unique chocolate beans

Duplicate rows or not?

Grouped summary statistics

Penguin characteristics

Chocolate location vs. rating

Pivoting data

Reshaping wages

Chocolate location pivot

Improving readability with Chain.jl

Chaining chocolates

Penguin plotting in chain

Minimum wage by region

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 adalah bahasa pemrograman baru yang menarik, dirancang untuk Machine Learning, komputasi ilmiah, dan penambangan data. Kursus ini akan membekali Anda dengan pengetahuan yang diperlukan untuk memulai perjalanan manipulasi data Anda di Julia.

Kami akan membangun dari pengetahuan Anda tentang DataFrames dari kursus Introduction to Julia dan Intermediate Julia. Di akhir kursus, Anda akan memiliki keterampilan inti untuk menginspeksi, mentransformasikan, mengelompokkan, memvisualisasikan DataFrame, dan banyak lagi.

Introduction to Julia

Intermediate Julia

Kuasi keterampilan penting manipulasi data di Julia: inspeksi, transformasi, grup, dan visualisasi.

Manipulasi Data di Julia

Julia Fundamentals

kolom yang berisi jumlah karakter dalam nama negara bagian

kolom yang berisi rasio antara upah minimum negara bagian dan federal

Kolom atau baris?

Manipulasi Data di Julia

Latihan interaktif praktis