導論

ggplot2 資料視覺化入門

Rick Scavetta

Founder, Scavetta Academy

你的講師－Rick Scavetta

- e-mail: [email protected]

- Twitter: @Rick_Scavetta

資料視覺化與資料科學

資料科學的核心技能。

探索式 vs. 解釋式

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

散佈圖

ggplot(mammals, aes(x = body, y = brain)) +
  geom_point()

1.1.1-1.png

用線性模型探索

ggplot(mammals, aes(x = body, y = brain)) +
  geom_point(alpha = 0.6) +
  stat_smooth(
    method = "lm", 
    color = "red", 
    se = FALSE
  )

1.1.1-2.png

探索：微調

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
  )

1.1.1-3.png

可發表的圖表

1.1.1-4.png

Anscombe 圖組

一起來練習吧！

ggplot2 資料視覺化入門