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You should remember that this type of chart also works on discontinuous data and is made at uniform intervals.

Let us plot a bar chart in Jupyter notebook through Python.
import matplotlib.pyplot as plt
marks = [10,20,70,60,50,80]

plt.bar([“Eng”, “Computers”, “Maths”, “Hindi”, “Social Science”, “Science”],marks)
plt.title(‘Bar Chart’)
plt.xlabel(‘Subjects’)
plt.ylabel(‘Marks’)

plt.show()

u Histogram: A histogram is a way of organising data in graphical form which is most commonly used for
continuous data . It looks very much like a bar chart, but there are important differences between them.
In simple terms, histogram is a way of providing visual interpretation of numerical data by showing the
number of data points that fall within a specified range of values. It looks similar to a vertical bar graph.You
should remember that, likewise, a bar graph, histogram doesn’t show any gap between the bars.

Let us draw a histogram to represent marks out of 100 of 40 students in class.

import matplotlib.pyplot as plt
import numpy as np

fig,ax = plt.subplots(1,1)
marks = np.array([10,20,49, 57,89, 70,60,50,80])
ax.hist(marks, bins = [10,20,30,40,50])
ax.set_title(“Histogram of result”)

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