Solved: histogram relative frequency

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,  
# setting the ranges and no. of intervals 
range = (0, 10) 
bins = 5  
# plotting a histogram 
plt.hist(ages, bins=bins) 


 plt.ylabel('No. of people') 

 plt.title('Histogram of Age')

# function to show the plot
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 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.


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.

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