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
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.