发帖
雷达卡
- Papers: 368 Pages
- Publisher: Packt Publishing ; 2 Edition (October 20,, 2014)
- Language: English
- ISBN 10: 1,783,988,789
- ISBN 13: 978-1783988785
Book Description
Data visualization is one of the most important tasks in the data science track. Through effective visualization, we can easily uncover underlying patterns among variables without doing any sophisticated statistical analysis.
Starting with a high-level overview of the R graphics system and then moving through this practical cookbook, you will leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. Through inspecting large datasets using tableplot and stunning three-dimensional visualizations, you will know how to produce, customize, and publish advanced visualizations using this popular, and powerful, framework
What You Will Learn
• the Create Diverse types of default at The Bar Charts a using R & lt Functions
• Produce's and Customize Density Plots Histograms and the with Lattice and ggplot2
• the Visualize Frequency Tabulated the with Interactive Data and Beautiful Graphs
• the Inspect Large Datasets Simultaneously Visualizing by numeric and categorical in the Variables A SINGLE Plot
• Construct Multiple Graph Matrix Layouts
• Annotate Graphs a using ggplot2
• Construct Various types of Three-dimensional Plots a using Three-dimensional Visualizations
Table of Contents
1: R GRAPHICS
2: BASIC GRAPH FUNCTIONS
3: BEYOND THE BASICS - ADJUSTING KEY PARAMETERS
4: CREATING SCATTER PLOTS
5: CREATING LINE GRAPHS AND TIME SERIES CHARTS
6: CREATING BAR, DOT, AND PIE CHARTS
7: CREATING HISTOGRAMS
8: BOX AND WHISKER PLOTS
9: CREATING HEAT MAPS AND CONTOUR PLOTS
10: CREATING MAPS
11: DATA VISUALIZATION USING LATTICE
12: DATA VISUALIZATION USING GGPLOT2
13: INSPECTING LARGE DATASETS
14: THREE-DIMENSIONAL VISUALIZATIONS
15: FINALIZING GRAPHS FOR PUBLICATIONS AND PRESENTATIONS
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