目錄(86章)
倒序
- coverpage
- Mastering Python Data Visualization
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. A Conceptual Framework for Data Visualization
- Data information knowledge and insight
- The transformation of data
- Data visualization history
- How does visualization help decision-making?
- Visualization plots
- Summary
- Chapter 2. Data Analysis and Visualization
- Why does visualization require planning?
- The Ebola example
- A sports example
- Creating interesting stories with data
- Perception and presentation methods
- Some best practices for visualization
- Visualization tools in Python
- Interactive visualization
- Summary
- Chapter 3. Getting Started with the Python IDE
- The IDE tools in Python
- Visualization plots with Anaconda
- Interactive visualization packages
- Summary
- Chapter 4. Numerical Computing and Interactive Plotting
- NumPy SciPy and MKL functions
- Scalar selection
- Slicing
- Array indexing
- Other data structures
- Visualization using matplotlib
- The visualization example in sports
- Summary
- Chapter 5. Financial and Statistical Models
- The deterministic model
- The stochastic model
- The threshold model
- An overview of statistical and machine learning
- Creating animated and interactive plots
- Summary
- Chapter 6. Statistical and Machine Learning
- Classification methods
- Understanding linear regression
- Linear regression
- Decision tree
- The Bayes theorem
- The Na?ve Bayes classifier
- The Na?ve Bayes classifier using TextBlob
- Viewing positive sentiments using word clouds
- k-nearest neighbors
- Logistic regression
- Support vector machines
- Principal component analysis
- k-means clustering
- Summary
- Chapter 7. Bioinformatics Genetics and Network Models
- Directed graphs and multigraphs
- The clustering coefficient of graphs
- Analysis of social networks
- The planar graph test
- The directed acyclic graph test
- Maximum flow and minimum cut
- A genetic programming example
- Stochastic block models
- Summary
- Chapter 8. Advanced Visualization
- Computer simulation
- Summary
- Appendix A. Go Forth and Explore Visualization
- An overview of conda
- Packages installed with Anaconda
- Packages websites
- About matplotlib
- Index 更新時間:2021-07-09 21:34:18
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