Introd u ction IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G - PowerPoint PPT Presentation

Introd u ction IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G P L OT 2 Rick Sca v e � a Fo u nder , Sca v e � a Academ y

Yo u r instr u ctor - Rick Sca v etta - e - mail : o � ce @ sca v e � a . academ y - T w i � er : @ Rick _ Sca v e � a INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Data v is u ali z ation & data science A core skill in Data Science . INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

E x plorator y v ers u s e x planator y INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

MASS :: mammals MASS::mammals body brain Arctic fox 3.385 44.50 Owl monkey 0.480 15.50 Mountain beaver 1.350 8.10 Cow 465.000 423.00 Grey wolf 36.330 119.50 Goat 27.660 115.00 Roe deer 14.830 98.20 ... Pig 192.000 180.00 Echidna 3.000 25.00 Brazilian tapir 160.000 169.00 Tenrec 0.900 2.60 Phalanger 1.620 11.40 Tree shrew 0.104 2.50 Red fox 4.235 50.40 INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

A scatter plot ggplot(mammals, aes(x = body, y = brain)) geom_point() INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

E x plore w ith a linear model ggplot(mammals, aes(x = body, y = brain)) geom_point(alpha = 0.6) + stat_smooth( method = "lm", color = "red", se = FALSE ) INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

E x plore : fine - t u ning ggplot(mammals, aes(x = body, y = brain)) geom_point(alpha = 0.6) + coord_fixed() + scale_x_log10() + scale_y_log10() + stat_smooth( method = "lm", color = "#C42126", se = FALSE, size = 1 ) INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

P u blication - read y plot INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Anscombe ' s plots INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Let ' s practice ! IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G P L OT 2

The grammar of graphics IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G P L OT 2 Rick Sca v e � a Fo u nder , Sca v e � a Academ y

The q u ick bro w n fo x j u mps o v er the la zy dog INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Grammar of graphics Plo � ing frame w ork Leland Wilkinson , Grammar of Graphics , 1999 2 principles Graphics = distinct la y ers of grammatical elements Meaningf u l plots thro u gh aesthetic mappings INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

The three essential grammatical elements Element Description Data The data - set being plo � ed . Aesthetics The scales onto w hich w e map o u r data . Geometries The v is u al elements u sed for o u r data . INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Co u rse 1: core competenc y Element Description Data The data - set being plo � ed . Aesthetics The scales onto w hich w e map o u r data . Geometries The v is u al elements u sed for o u r data . Themes All non - data ink . INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

The se v en grammatical elements Element Description Data The data - set being plo � ed . Aesthetics The scales onto w hich w e map o u r data . Geometries The v is u al elements u sed for o u r data . Themes All non - data ink . Statistics Representations of o u r data to aid u nderstanding . Coordinates The space on w hich the data w ill be plo � ed . Facets Plo � ing small m u ltiples . INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Jargon for each element INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Co u rse 2: Tools for EDA Remaining 3 la y ers Best practices for Data Vi z INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

ggplot 2 la y ers IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G P L OT 2 Rick Sca v e � a Fo u nder , Sca v e � a Academ y

ggplot 2 package The grammar of graphics implemented in R T w o ke y concepts : 1. La y er grammatical elements 2. Aesthetic mappings INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Data INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Iris dataset 1 Fisher , R . A . (1936) The u se of m u ltiple meas u rements in ta x onomic problems . Annals of E u genics , 7, Part II , 179– 2 188. Anderson , Edgar (1935). The irises of the Gaspe Penins u la , B u lletin of the American Iris Societ y, 59, 2–5. INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Iris dataset iris Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa ... 50 5.0 3.3 1.4 0.2 setosa 51 7.0 3.2 4.7 1.4 versicolor 52 6.4 3.2 4.5 1.5 versicolor 53 6.9 3.1 4.9 1.5 versicolor ... 100 5.7 2.8 4.1 1.3 versicolor 101 6.3 3.3 6.0 2.5 virginica 102 5.8 2.7 5.1 1.9 virginica 103 7.1 3.0 5.9 2.1 virginica ... 150 5.9 3.0 5.1 1.8 virginica INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Aesthetics INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Iris aesthetics INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Geometries INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Iris geometries g <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width) geom_jitter() g INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Themes INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Iris themes g <- g + labs(x = "Sepal Length (cm)", y = "Sepal Width (cm)") theme_classic() g INTRODUCTION TO DATA VISUALIZATION WITH GGPLOT 2

Introd u ction IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G - PowerPoint PPT Presentation

Introd u ction IN TR OD U C TION TO DATA VISU AL IZATION W ITH G G P L OT 2 Rick Sca v e a Fo u nder , Sca v e a Academ y Yo u r instr u ctor - Rick Sca v etta - e - mail : o ce @ sca v e a . academ y - T w i er : @ Rick _ Sca

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