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12th Standard Computer Science English Medium - Data Visualization Using Pyplot: Line Chart, Pie Chart and Bar Chart 3 Mark Book Back Question Paper and Answer Key 2022 - 2023

Published on: 13/09/2022

QB365 provides a detailed and simple solution for every Possible Book Back Questions in Class 12 Computer Science Subject - Data Visualization Using Pyplot: Line Chart, Pie Chart and Bar Chart , English Medium. It will help Students to get more practice questions, Students can Practice these question papers in addition to score best marks.

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Std: 12th Standard - Computer Science

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Questions:

Generic 3

4 x 3 = 12

Write the plot for the following pie chart output.

Write the coding for the following:
a. To check if PIP is Installed in your PC.
b. To Check the version of PIP installed in your PC.
c. To list the packages in matplotlib.

Write any three uses of data visualization.

Draw the output for the following data visualization plot.
import matplotlib.pyplot as plt
plt.bar([1,3,5,7,9],[5,2,7,8,2], label="Example one")
plt.bar([2,4,6,8,10],[8,6,2,5,6], label="Example two", color='g')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic Graph in Another Line! Whoa')
plt.show()

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Answers Key:

Generic 3

4 x 3 = 12

Plot:
import matplotlib.pyplot as plt
sizes = [105, 30, 30, 195]
label= ["sleeping", "eating", "working", "playing"]
plt.pie (sizes, labels = labels, autopct = "%.2f")
plt, axes ( ). set_aspect ("equal")
plt.show ( )

(a) Check if PIP is Installed:
To check if PIP is already installed in our system, navigate our command line to the location of Python's script directory.
Command:
Python m pip install - U pip.
(b) To check PIP version:
To check the version of PIP in our system, type the command as:
C: \Users\Your Name\App Data\Local\Programs\Python\Python 36-32\Scripts> Pip--version.
(c) List packages:
To view the list of installed packages on our system, use the list command:
C:\Users\Your Name\App Data\Local\Programs\Python\Python 36-32\scripts> Pip list

(i) Data Visualization help users to analyze and interpret the data easily.
(ii) It makes complex data understandable and usable.
(iii) Various Charts in Data Visualization helps to show relationship in the data for one or more variables.