The main problem with histograms relative frequency is that they can be misleading. Histograms can be skewed in a number of ways, which can lead to inaccurate conclusions about the distribution of data.
import matplotlib.pyplot as plt
# frequencies
ages = [2,5,70,40,30,45,50,45,43,40,44,
60,7]
# setting the ranges and no. of intervals
range = (0, 10)
bins = 5
# plotting a histogram
plt.hist(ages, bins=bins)
plt.xlabel('age')
plt.ylabel('No. of people')
plt.title('Histogram of Age')
# function to show the plot
plt.show()
This code is plotting a histogram of ages. The x-axis is age, the y-axis is the number of people, and the title is “Histogram of Age.”
Histograms
Histograms are a way to visualize data in Python. They allow you to see how many occurrences of a particular value occur in a given dataset.
Frequency
In Python, frequency refers to the number of times a particular value occurs in a data set. For example, the frequency of the letter “A” in a text file is 1.
