# 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,
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.”

Contents

## 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.

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