of a numerical variable. suppose we have a dataset called students that contains an age variable…

of a numerical variable. suppose we have a dataset called students that contains an age variable representing the ages of students. in r, the students dataset can be defined as a data frame with the age variable as follows: # r code to define the students dataset students <- data.frame(age = c(20, 21, 19, 22, 20, 23)) in python, using the pandas library, the students dataset can be defined as a dataframe with the age variable as follows: # python code to define the students dataset import pandas as pd students = pd.dataframe({age: 20, 21, 19, 22, 20, 23}) which of the following correctly identifies the code to create a histogram of the age variable from the students dataset in r and python (assuming you have already imported the matplotlib.pyplot library as plt)? a. hist(students$age) (in r); plt.hist(studentsage) (in python) b. hist(age$students) (in r); plt.hist(agestudents) (in python) c. barplot(students$age) (in r); plt.bar(studentsage) (in python) d. histstudentsage (in r); plt.histstudentsage (in python)

of a numerical variable. suppose we have a dataset called students that contains an age variable representing the ages of students. in r, the students dataset can be defined as a data frame with the age variable as follows: # r code to define the students dataset students <- data.frame(age = c(20, 21, 19, 22, 20, 23)) in python, using the pandas library, the students dataset can be defined as a dataframe with the age variable as follows: # python code to define the students dataset import pandas as pd students = pd.dataframe({age: 20, 21, 19, 22, 20, 23}) which of the following correctly identifies the code to create a histogram of the age variable from the students dataset in r and python (assuming you have already imported the matplotlib.pyplot library as plt)? a. hist(students$age) (in r); plt.hist(studentsage) (in python) b. hist(age$students) (in r); plt.hist(agestudents) (in python) c. barplot(students$age) (in r); plt.bar(studentsage) (in python) d. histstudentsage (in r); plt.histstudentsage (in python)

Answer

Brief Explanations:

In R, to access a variable within a data - frame for plotting a histogram, the syntax is hist(dataframe$variable). Here, students is the data - frame and age is the variable, so it's hist(students$age). In Python with matplotlib and pandas, to plot a histogram of a column in a DataFrame, the syntax is plt.hist(dataframe['column_name']), so for the students DataFrame and age column, it's plt.hist(students['age']).

Answer:

A. hist(students$age) (in R); plt.hist(students['age']) (in Python)