Kernel-Dichte, Boxplots & Radarcharts interpretieren

Sentimentanalyse in R

Ted Kwartler

Data Dude

Weitere Visualisierungen

dist <- rnorm(100, 
              mean = 0, 
              sd = 1)

hist(dist, breaks = 1)

hist 1

hist(dist, breaks = 10)

hist10

hist(dist, breaks = 100)

hist100

dist <- rnorm(100, 
              mean = 0, 
              sd = 1)
hist(dist, breaks = 10)

hist10

d_curve <- density(dist) 
plot(d_curve)

Dichtekurve

Boxplot-Grundlagen

Plutchiks Wheel of Emotion

Radarchart

Baum

Sentimentanalyse in R