This is a plain theory question that asks for a specific plot. The answer must give the complete, runnable code and explain the key lines.

import matplotlib.pyplot as plt

# Data from Table 4.10
states = ['Arunachal Pradesh', 'Assam', 'Manipur', 'Meghalaya',
          'Mizoram', 'Nagaland', 'Tripura']
forest_cover = [67353, 27692, 17280, 17321, 19240, 13464, 8073]

# Plot the pie chart
plt.pie(forest_cover, labels=states, autopct='%1.1f%%')
plt.title('Forest cover of North Eastern states')
plt.axis('equal')  # ensures the pie is drawn as a circle
plt.legend().remove()  # turns off the legend
plt.show()

Explanation of key lines:

• plt.pie(forest_cover, labels=states, autopct='%1.1f%%') — the first argument is the data to be shown as slices; labels assigns each slice a name; autopct displays the percentage of each slice to one decimal place.
• plt.axis('equal') — this is critical for a pie chart: without it, the chart may appear as an ellipse rather than a circle.
• plt.legend().remove() — the question explicitly says "legend turned off". Calling .remove() on the legend object suppresses it entirely. (Alternatively, you could simply omit the legend() call, but this is the explicit way to ensure it is off.) …

This is a code task — you need to write Python code using matplotlib to produce the specified pie chart from the given data.

Why a pie chart here is problematic

Pie charts work well for 2–5 categories where you want to show proportions of a whole. With 7 states, the slices become too small to distinguish, and comparing areas like Manipur (17280) vs Meghalaya (17321) is nearly impossible by eye. A bar chart would let you compare absolute values easily. But the question explicitly asks for a pie chart, so we follow instructions while noting the limitation.

The data

From Table 4.10:

We only need the State and ForestCover columns for the pie chart.

The code

import matplotlib.pyplot as plt

# Data
states = ['Arunachal Pradesh', 'Assam', 'Manipur', 'Meghalaya', 'Mizoram', 'Nagaland', 'Tripura']
forest_cover = [67353, 27692, 17280, 17321, 19240, 13464, 8073]

# Create pie chart
plt.figure(figsize=(8, 6))
plt.pie(forest_cover, labels=states, autopct='%1.1f%%')
plt.title('Forest cover of North Eastern states')
plt.legend().remove()  # Turn off legend
plt.show()

Key lines explained

• plt.pie(forest_cover, labels=states, autopct='%1.1f%%') — The first argument is the data values. labels gives each slice a name. autopct adds percentage labels on each slice, formatted to one decimal place. …