This document discusses data visualization techniques using R and provides 24 examples of different types of plots and graphs that can be created, including calendar heatmaps, bivariate density plots, hexagonal binning, regression plots, jittering, square tiles, table plots, mosaic plots, tree maps, bar plots, pie charts, dashboards, images of matrices, Monte Carlo simulations, parametric curves, area charts, bubble charts, box plots, word clouds, R color palettes, time plots, path plots, conditioning plots, and moving scatterplots. The examples demonstrate how to create informative yet easy to understand graphs using R for data analysis and visualization.

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Data Visualization Using R
허 명 회 (통계학 교수, 고려대학교. e-mail: stat420@korea.ac.kr)
2014.03.16
Facebook KRUG

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: Background and Aim
Data Visualization
Smart Graphs, Beautiful Pictures
1. Informative, but Easy to Understand
2. Familiar, but Creative
3. Beautiful or “Artistic”
Show examples of R pictures
: Open source language and software for data analysis

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01. Calendar Heatmap * Data. KOSPI from 2011 to 2013 by days

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02. Bivariate Density * Data. geyser {MASS}

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03. Bivariate Histogram * Data. geyser {MASS}

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04. Hexagonal Binning * Data. NHANES {hexbin},   

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05. Regression with Two Predictors * Data. cars {datasets}

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06. Jittering * Data. OrchardSprays {datasets}

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07. Square Tiles * Data. Religion of Korea
None 47%, Buddhism 23%, Christian 18%,
Catholic 11%, Others 1%

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08. Table Plot * Data. diamonds {ggplot2},   

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09. Mosaic Plot * Data. UCBAdmissions {datasets}

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10. Tree Map * Data. GNI2010 {treemap}

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11. Bar Plot * Data. VADeaths {datasets}

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12. Pie Chart * Data. Budget 2012, Korea

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13. Dash Board * Data. c(0.57, 0.79, 0.12, 0.92)

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14. Image of Matrices * Mathematical patterns

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15. Monte Carlo * Simulated from algorithm

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16. Parametric Curves * Simulated from algorithm

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17. Area Chart * Data. "conn.txt"

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18. Bubble Chart * Data. UScrime {MASS}

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19. Box Plot * Data. Korean House of Representatives Electorates

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20. Word Cloud * Data. Korean essay on e-mails

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21. R Colors * Data. Monte Carlo Simulation

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22. Time Plot * Data. Monte Carlo Simulation

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23. Path Plot * economics {ggplot2}

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24. Conditioning Plot * quakes {datasets}

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25. Moving Scatterplot

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: Finale
Two Levels of Data Visualization
- Analytic Visualization (using advanced mathematics)
- Descriptive Visualization

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허 명 회 블 로 그
- http://blog.daum.net/huh420/18
- http://blog.naver.com/huh4200