Digital library
Textbooks, references and open learning resources.

External
Introduction to Data Analytics
Felix Amoruwa · De Anza College
In the contents: 9.2.01: Treemaps (Hierarchical Area Charts) · 9.2.02: Bullet Charts (Bullet Graphs for KPIs) · 9.2.05: Radial Plots (Circular Charts like Radar or Polar Charts)

External
Fundamentals of MATLAB Programming
Zara Noroozi · Irvine Valley College
In the contents: 4.07: Flattening and Deleting Parts of a Matrix · 10.09: Pie Charts

External
Introduction to Computer Applications and Concepts (Lumen)
LibreTexts
In the contents: 2.04: Video- Basic PC Parts

External
Workplace Software and Skills
OpenStax · LibreTexts
In the contents: 11.04: PivotTables Charts · 11.05: Data Analysis Charts

External
Java, Java, Java - Object-Oriented Programming
Ralph Morelli & Ralph Wade · Trinity College
In the contents: 7.06: Retrieving Parts of Strings

External
Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
In the contents: 7.02: Flowcharts

External
Data Structure and Algorithms
Harrison Njoroge · African Virtual University
In the contents: 1.03: Activity 3 - Using pseudo-codes and flowcharts to represent algorithms

External
An Introduction to Matlab and Mathcad
Troy Siemers · Virginia Military Institute
In the contents: 14.03: Referencing Parts of Matrices

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Clickbait Bias and Propaganda in Information Networks
Fister et al. · LibreTexts
In the contents: 4.01: Reddit- The Conversation Starts Here

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CPSI10003 Microcomputer Applications I
LueCrecy Ragan & Michael Hostetler · Arkansas State University-Beebe
In the contents: 8.1.08: Introduction to Charts and Visualizations · 8.1.09: Creating and Customizing Charts · 8.1.11: Pie Charts

External
Introduction to Social Network Methods
Robert Hanneman & Mark Riddle · University of California, Riverside
In the contents: 4.05: Highlighting parts of the network

External
Think Python - How to Think Like a Computer Scientist (Downey)
Allen B. Downey · Olin College
Think Python is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters.

External
Think Python 2ed.
Allen B. Downey · Olin College
Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

External
Intro to Programming with Programming Fundamentals and Python for Everyone
LibreTexts
In the contents: 7.02: Flowcharts · 7.03: Activity 3 - Using pseudo-codes and flowcharts to represent algorithms

External
Introduction to Computers in Agriculture (C-ID AG-AB 108 108)
Peter Maokosy · Coalinga College
In the contents: 1.2.2.14: Video- Basic PC Parts · 6.2.06: Utilizing Tables and Charts

External
CPSI10003 Microcomputer Applications 1 - Microsoft Excel
LueCrecy Ragan · Arkansas State University-Beebe
In the contents: 2.1.08: Introduction to Charts and Visualizations · 2.1.09: Creating and Customizing Charts · 2.1.11: Pie Charts

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CPSI10003 Microcomputer Applications 1 - Part 4: Microsoft PowerPoint
LueCrecy Ragan & Michael Hostetler · Arkansas State University-Beebe
In the contents: 1.1.08: Tables Charts Graphics and More.

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Data and the Modern World
Alan Polansky · Northern Illinois University
In the contents: 11.04: Pie Charts