Book Image

Julia Cookbook

By : Raj R Jalem, Rohit
Book Image

Julia Cookbook

By: Raj R Jalem, Rohit

Overview of this book

Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.
Table of Contents (7 chapters)

Plotting dataframes

Dataframes are one of the datastructures on which most analytics and machine learning implementations are done. It is the most popular and best way for representing tabular data. They are made up of several arrays and similar data structures, and they can store data in multiple formats, including logical data, string data, and numeric data. So, visualizations can be done against one or multiple columns of the same dataframe, which makes it easy for the analyst to express numerical information in the dataframe.

Getting ready

To get started with this recipe, you have to install the Gadfly library as you did in the previous recipe.

As we will be using the datasets from R packages, we also need to import the RDatasets package. This can be done simply by the using ... syntax, which we use for importing packages:

using RDatasets

How to do it...

For this recipe, you need to perform the following steps:

  1. Firstly, we will learn how to plot different columns of a dataframe against each...