Hands-On Data Science with Anaconda

Various bar charts, pie charts, and histograms

For the next R program, we show a pie chart based on the percentage of each input value:

results <- c(10,8,7,4,6) 
names<-c("1st","2nd","3rd","4th","5th") 
pct<-round(results/sum(results)*100) 
pct2<-rev(sort(pct)) 
name<-"Pie Chart of results" 
colors<-seq(0.4, 1.0, length = length(results)) 
pie(results, labels = names, col = gray(colors),main=name) 

The related graph is shown here:

The next Python program shows the histogram for a standard normal distribution:

import numpy as np import matplotlib.pyplot as plt data = np.random.RandomState(10) n=5000 n2=1000 x=data.normal(size=n) y=data.normal(loc=5, ...