Data visualization that enhances data literacy
 |
Description
Book Introduction
Visualization techniques that transform data sets into storytelling.
To design a chart, you must first understand the data.
Sometimes, processing huge amounts of data is also required.
In "Data Visualization for Data Literacy," the author guides you step-by-step through collecting, organizing, and presenting data, and introduces how to create high-quality graphics that effectively tell the stories your data tells.
In this book, you'll learn how to create compelling visualizations that convey your message clearly and accurately, using tools like Python, R, Excel, and JavaScript.
You can learn how to find outliers in data, analyze patterns, and create various visualizations such as graphs and maps through real-world examples and exercises.
The author's visually beautiful and creative graphs will inspire new visualization ideas.
To design a chart, you must first understand the data.
Sometimes, processing huge amounts of data is also required.
In "Data Visualization for Data Literacy," the author guides you step-by-step through collecting, organizing, and presenting data, and introduces how to create high-quality graphics that effectively tell the stories your data tells.
In this book, you'll learn how to create compelling visualizations that convey your message clearly and accurately, using tools like Python, R, Excel, and JavaScript.
You can learn how to find outliers in data, analyze patterns, and create various visualizations such as graphs and maps through real-world examples and exercises.
The author's visually beautiful and creative graphs will inspire new visualization ideas.
- You can preview some of the book's contents.
Preview
index
Chapter 1: Telling a Story with Data
Visualization beyond numbers
---Statistical information visualization
---Visualization as entertainment
---Visualization that conveys emotion
---Persuasive visualization
Ask questions about your data
---verification
---Exploratory visualization
---Communication
design
---purpose
---Target audience
---machinery and tools
---Clarity and Insight
---Trade-off
finish
Chapter 2: Choosing a Data Visualization Tool
Mixed Toolbox
Click-based visualization tool
---type
---Trade-off
Programming
---type
---Trade-off
Create a map
---type
---Trade-off
Illustration
---type
---Trade-off
Simple visualization tool
---type
---Trade-off
pencil and paper
---Tradeoff 55
Explore the available tools
finish
Chapter 3: Handling Data
Data preparation
Finding data
---Search engine
---General purpose data application
---Researcher
---agency
---Catalog and List
---Reference materials by topic
Data collection
---Copy and paste
---Collect manually
---Scraping
---Scraping the site
Loading data
Data formatting
---Data format
---Formatting tool
---Reformat with code
Processing data
Filtering and aggregating sample data
finish
Chapter 4 Time Visualization
Trend
---Bar graph showing time
---Line chart
---Stair chart
---Smoothing
event
---Timeline
---Dot plot
to give
---Multi-line chart
---Heat map
finish
Chapter 5: Category Visualization
sheep
---Categorical bar chart
---Resize shape
Part of the whole
---Pie chart
---Donut chart
---Square pie chart
---Treemap
Ranking and order
Category and Time
---Stacked bar chart
---Cumulative Area Chart
---Alluvial diagram
---Bump chart
finish
Chapter 6: Relationship Visualization
Correlation
---Scatterplot
---Bubble chart
Differences
---Dumbbell chart
---Difference chart
---Highlighting the differences
multiple variables
---Heatmap for multiple variables
---Parallel coordinate graph
---Separate the view
connection
---Network graph
finish
Chapter 7 Spatial Visualization
Handling spatial data
---Geocoding an address
---Map projection
location
---dot
---Resize shape
---line
spatial distribution
---Stage classification chart
---Cartogram
---Point density map
space and time
---Continuous map
---Animation Map
finish
Chapter 8: Visually Analyzing Data
Gathering information
outline
---Key Concepts
---distribution
---Data quality
---Adjust your question
Explore Details
---comparison
---pattern
---uncertainty
---Outliers
Draw conclusions
finish
Chapter 9: Design with Purpose
Good visualization
---Infinite choices
---Visualization Components
Insights for others
---Visual hierarchy
---aesthetics
---Visual metaphor
---annotation
---Accessibility
finish
Visualization beyond numbers
---Statistical information visualization
---Visualization as entertainment
---Visualization that conveys emotion
---Persuasive visualization
Ask questions about your data
---verification
---Exploratory visualization
---Communication
design
---purpose
---Target audience
---machinery and tools
---Clarity and Insight
---Trade-off
finish
Chapter 2: Choosing a Data Visualization Tool
Mixed Toolbox
Click-based visualization tool
---type
---Trade-off
Programming
---type
---Trade-off
Create a map
---type
---Trade-off
Illustration
---type
---Trade-off
Simple visualization tool
---type
---Trade-off
pencil and paper
---Tradeoff 55
Explore the available tools
finish
Chapter 3: Handling Data
Data preparation
Finding data
---Search engine
---General purpose data application
---Researcher
---agency
---Catalog and List
---Reference materials by topic
Data collection
---Copy and paste
---Collect manually
---Scraping
---Scraping the site
Loading data
Data formatting
---Data format
---Formatting tool
---Reformat with code
Processing data
Filtering and aggregating sample data
finish
Chapter 4 Time Visualization
Trend
---Bar graph showing time
---Line chart
---Stair chart
---Smoothing
event
---Timeline
---Dot plot
to give
---Multi-line chart
---Heat map
finish
Chapter 5: Category Visualization
sheep
---Categorical bar chart
---Resize shape
Part of the whole
---Pie chart
---Donut chart
---Square pie chart
---Treemap
Ranking and order
Category and Time
---Stacked bar chart
---Cumulative Area Chart
---Alluvial diagram
---Bump chart
finish
Chapter 6: Relationship Visualization
Correlation
---Scatterplot
---Bubble chart
Differences
---Dumbbell chart
---Difference chart
---Highlighting the differences
multiple variables
---Heatmap for multiple variables
---Parallel coordinate graph
---Separate the view
connection
---Network graph
finish
Chapter 7 Spatial Visualization
Handling spatial data
---Geocoding an address
---Map projection
location
---dot
---Resize shape
---line
spatial distribution
---Stage classification chart
---Cartogram
---Point density map
space and time
---Continuous map
---Animation Map
finish
Chapter 8: Visually Analyzing Data
Gathering information
outline
---Key Concepts
---distribution
---Data quality
---Adjust your question
Explore Details
---comparison
---pattern
---uncertainty
---Outliers
Draw conclusions
finish
Chapter 9: Design with Purpose
Good visualization
---Infinite choices
---Visualization Components
Insights for others
---Visual hierarchy
---aesthetics
---Visual metaphor
---annotation
---Accessibility
finish
Publisher's Review
+ Present visual representations that enable you to discover unexpected insights
+ Finding Stories in Data
+ Explore various data sources to determine effective representation formats.
+ Experiment and compare different visualization tools
+ Identify trends and patterns in data and choose appropriate visualization methods.
+ Set clear goals for visualization
+ Finding Stories in Data
+ Explore various data sources to determine effective representation formats.
+ Experiment and compare different visualization tools
+ Identify trends and patterns in data and choose appropriate visualization methods.
+ Set clear goals for visualization
GOODS SPECIFICS
- Date of issue: September 3, 2025
- Page count, weight, size: 380 pages | 776g | 172*225*20mm
- ISBN13: 9788966264858
- ISBN10: 8966264859
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