Histogram

Histogram

• In a histogram, the data are grouped into ranges (e.g. 10 - 19, 20 - 29) and then plotted as connected bars. Each bar represents a range of data. The width of each bar is proportional to the width of each category, and the height is proportional to the frequency or percentage of that category.

• It provides a visual interpretation of numerical data by showing the number of data points that fall within a specified range of values called "bins".

• Fig. 5.5.1 shows histogram.

• Histograms can display a large amount of data and the frequency of the data values. The median and distribution of the data can be determined by a histogram. In addition, it can show any outliers or gaps in the data.

• Matplotlib provides a dedicated function to compute and display histograms:  plt.hist()

• Code for creating histogram with randomized data :

import numpy as np

import matplotlib.pyplot as plt

x = 40* np.random.randn(50000)

plt.hist(x, 20, range=(-50, 50), histtype='stepfilled',

align='mid', color='r', label="Test Data')

plt.legend()

plt.title(' Histogram')

plt.show()