Book Image

SwiftUI Cookbook - Third Edition

By : Juan C. Catalan
5 (1)
Book Image

SwiftUI Cookbook - Third Edition

5 (1)
By: Juan C. Catalan

Overview of this book

SwiftUI is the modern way to build user interfaces for iOS, macOS, and watchOS. It provides a declarative and intuitive way to create beautiful and interactive user interfaces. The new edition of this comprehensive cookbook includes a fully updated repository for SwiftUI 5, iOS 17, Xcode 15, and Swift 5.9. With this arsenal, it teaches you everything you need to know to build beautiful and interactive user interfaces with SwiftUI 5, from the basics to advanced topics like custom modifiers, animations, and state management. In this new edition, you will dive into the world of creating powerful data visualizations with a new chapter on Swift Charts and how to seamlessly integrate charts into your SwiftUI apps. Further, you will be able to unleash your creativity with advanced controls, including multi-column tables and two-dimensional layouts. You can explore new modifiers for text, images, and shapes that give you more control over the appearance of your views. You will learn how to develop apps for multiple platforms, including iOS, macOS, watchOS, and more. With expert insights, real-world examples, and a recipe-based approach, you’ll be equipped to build remarkable SwiftUI apps that stand out in today’s competitive market.
Table of Contents (20 chapters)
18
Other Books You May Enjoy
19
Index

Histograms with data bins

In the three other recipes in this chapter, we used Swift Charts to create beautiful charts. We used and learned the different building blocks and view modifiers available. Please refer to the previous recipes if you’re not familiar with Swift Charts.

In this recipe, we will focus on one specific data visualization chart called histogram. Histograms are used in statistics, and it is the most used chart to plot the frequency distribution of an event. A histogram is a very useful chart to understand a large dataset. The histogram looks like a bar chart, but here, the main difference is that each bar represents the frequency of a range of values, instead of the frequency of a single value. In the y-axis, we have the frequency of the event, and in the x-axis, the range of the event. For example, imagine we want to understand the frequency distribution of the age of a population of 1,000,000 people, measured in years. We have an initial dataset of...