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May 1, 2017 14:38
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How to plot a big dataset
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# How to plot a BIG data set (600 million rows/values with 8555 keys) | |
# Use the follow example!! | |
library(dplyr) | |
library(ggplot2) | |
data(diamonds) | |
# plot density of different keys | |
ggplot(diamonds, aes(x=depth)) + geom_line(aes(color= cut), stat="density", size=0.4, alpha=0.4) | |
# extract different keys individually | |
Fair <- filter(diamonds, cut == "Fair") | |
Good <- filter(diamonds, cut == "Good") | |
VeryGood <- filter(diamonds, cut == "Very Good") | |
Premium <- filter(diamonds, cut == "Premium") | |
Ideal <- filter(diamonds, cut == "Ideal") | |
# plot each key one by one | |
ggplot() + | |
geom_line(data=Fair, aes(x=depth), stat="density", size=0.4, alpha=0.4, color = "red") + | |
geom_line(data=Good, aes(x=depth), stat="density", size=0.4, alpha=0.4, color = "green") + | |
geom_line(data=VeryGood, aes(x=depth), stat="density", size=0.4, alpha=0.4, color = "blue") + | |
geom_line(data=Premium, aes(x=depth), stat="density", size=0.4, alpha=0.4, color = "black") + | |
geom_line(data=Ideal, aes(x=depth), stat="density", size=0.4, alpha=0.4, color = "purple") |
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