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Sencha Charts Essentials

You're reading from Sencha Charts Essentials Create stunning charts and visualizations for both web and mobile applications

Product type Paperback

Published in May 2015

Publisher

ISBN-13 9781785289767

Length 214 pages

Edition 1st Edition

Languages

JavaScript

Tools

Sencha Touch

Concepts

Data Visualization

Author (1):

Ajit Kumar

View More author details

Table of Contents (11) Chapters

Preface

1. Fundamentals of Sencha Charts FREE CHAPTER

2. Working with Out-of-the-box Charts

3. Sencha Charts Architecture

4. Creating a Custom Cartesian Chart

5. Creating a Custom Polar Chart

6. Creating a Custom Spacefilling Chart

7. Theming

8. Working with Touch Gestures

9. Comparison with Other JavaScript Charting Libraries

Index

Types of charts

Sencha Charts supports the following types of charts:

Cartesian charts: These charts are based on a two-dimensional coordinate system or the cartesian coordinate system. This is where the position of a point is determined based on its (x, y) coordinate. Typical examples are area charts, bar charts, and line charts.
Polar charts: These charts are based on the polar coordinate system. This is a two-dimensional coordinate system where the position of a point in the plane is determined based on its distance from a fixed point and angle from a fixed direction. Typical examples are Pie and Radar.
Spacefilling charts: These charts fill the entire space/area of the chart. For example, Treemap and Gauge.

The following screenshot shows the different types of Sencha Charts:

The rest of the chapter is locked

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Authors (1)

Kumar

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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