Table of contents Welcome Preface Who the book is written for How the book is organized 1. Introduction of Data Visualization 1.1 What is data visualization? 1.2 Why does visualization matter? 2. Tricks in Visualization 2.1 Choose Appropriate Chart 2.2 Features of Charts 2.2.1 Table 2.2.2 Column Chart 2.2.3 Line Chart 2.2.4 Pie Chart 2.2.5 Scatter Chart 2.2.6 Map Chart 2.3 Misused Graph 2.4 Tips in Visualization 3. Matplotlib 3.1 Basic Concepts 3.2 Line Chart 3.3 Area Chart 3.4 Column Chart 3.5 Histogram Chart 3.6 Scatter Chart 3.7 Lollipop Chart 3.8 Pie Chart 3.9 Venn Chart 3.10 Waffle Chart 3.11 Animation 4. Seaborn 4.1 Trends 4.2 Ranking 4.2.1 Barplot 4.2.2 Boxplot 4.3 Composition 4.3.1 Stacked Chart 4.4 Correlation 4.4.1 Scatter Plot 4.4.2 Linear Relationship 4.4.3 Heatmap 4.4.4 Pairplot 4.5 Distribution 4.5.1 Boxplot 4.5.2 Violin plot 4.5.3 Histogram plot 4.5.4 Density plot 4.5.5 Joint plot 5. Bokeh 5.1 Basic Plotting 5.2 Data Sources 5.3 Annotations 5.4 Categorical Data 5.5 Presentation and Layouts 5.6 Linking and Interactions 5.7 Network Graph 5.8 Widgets 6. Plotly 6.1 Fundamental Concepts 6.1.1 Plotly Express 6.1.2 Plotly Graph Objects 6.2 Advanced Charts 6.2.1 Advanced Scatter Chart 6.2.2 Advanced Bar Chart 6.2.3 Advanced Pie Chart 6.2.4 Advanced Heatmap 6.2.5 Sankey Chart 6.2.6 Tables 6.3 Statistical Charts 6.3.1 Common Statistical Charts 6.3.2 Dendrograms 6.3.3 Radar Chart 6.3.4 Polar Chart 6.3.5 Streamline Chart 6.4 Financial Charts 6.4.1 Funnel Chart 6.4.2 Candlestick Chart 6.4.3 Waterfall Chart Support Donation