The bar chart (BarChart) is a statistical graph that allows us to represent the frequency distribution of discrete qualitative and quantitative variables, our goal is to move from pencil and paper to the use of R programming language and Python.
mtcars in a very popular data set that is already preloaded in the R programming language, we will focus on the variable cyl (cylinder) for the creation of the statistical line graph mentioned above.
summary(mtcars)
## mpg cyl disp hp
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## drat wt qsec vs
## Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000
## Median :3.695 Median :3.325 Median :17.71 Median :0.0000
## Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000
## Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000
## am gear carb
## Min. :0.0000 Min. :3.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000
## Median :0.0000 Median :4.000 Median :2.000
## Mean :0.4062 Mean :3.688 Mean :2.812
## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :1.0000 Max. :5.000 Max. :8.000
summary(mtcars$cyl)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.000 4.000 6.000 6.188 8.000 8.000
summary(mtcars$gear)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.000 3.000 4.000 3.688 4.000 5.000
Matplotlib is a Python library that allows us to create high quality statistical plots, we will focus on the variable cyl (cylinders) to create a bar plot.
import matplotlib.pyplot as plt
x_axis=[4,6,8]
y_axis=[11,7,14]
colors=['orange','blue','purple']
plt.bar(x_axis,height=y_axis,width=0.9,color=colors)
plt.title("Number of Cylinders")
plt.xlabel("Cylinders")
plt.ylabel("Frequencies")
plt.show()