Computer Science – PyPlot, Exams of Computer science

Computer Science – PyPlot – 8 Viva Questions with Answers - 2 Pages – Helpful for Students and Teachers

Typology: Exams

2024/2025

Available from 09/09/2024

kbzone1973
kbzone1973 🇮🇳

244 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Pyplot | Vineeta Garg
1
PYPLOT
VIVA QUESTIONS
1. What is a data visualization?
Data visualization is the graphical representation of information and data ie it
presents quantitative information in a graphical form.
2. What is the importance of data visualization?
a. To make data easier to understand, process and remember
b. To discover unknown facts, outliers, and trends
c. To visualize relationships and patterns quickly
d. To make better and meaningful decisions
3. Which library in Python is used for Data Visualization?
Matplotlib
4. What are the basic steps of plotting a graph?
a. Import matplotlib.pyplot
b. Choose the appropriate plot type like line, bar, pie etc.
c. Create a list/array of values according to the type of plot chosen
d. Use the built-in functions to set various parameters and to view the plot
5. What is a line plot?
a. Line plot is the most common, simplest, and classic type of plot.
b. It shows a change in one or more variables over time.
c. The plot() method is used to plot the line plot.
d. It is often used to visualize a trend in data over intervals of time.
6. What is a bar plot?
a. Bar plot presents categorical data in the form of bars with heights or
lengths proportional to the values that they represent.
b. One axis of the chart shows the specific categories being compared, and
the other axis represents a measured value.
c. The bars can be plotted horizontally or vertically.
d. Bar plots can be either single, stacked, or grouped.
7. What is a histogram plot?
a. Histogram is a graphical representation of the distribution of numerical
data.
pf2

Partial preview of the text

Download Computer Science – PyPlot and more Exams Computer science in PDF only on Docsity!

Pyplot | Vineeta Garg 1

PYPLOT

VIVA QUESTIONS

1. What is a data visualization? Data visualization is the graphical representation of information and data ie it presents quantitative information in a graphical form. 2. What is the importance of data visualization? a. To make data easier to understand, process and remember b. To discover unknown facts, outliers, and trends c. To visualize relationships and patterns quickly d. To make better and meaningful decisions 3. Which library in Python is used for Data Visualization? Matplotlib 4. What are the basic steps of plotting a graph? a. Import matplotlib.pyplot b. Choose the appropriate plot type like line, bar, pie etc. c. Create a list/array of values according to the type of plot chosen d. Use the built-in functions to set various parameters and to view the plot 5. What is a line plot? a. Line plot is the most common, simplest, and classic type of plot. b. It shows a change in one or more variables over time. c. The plot() method is used to plot the line plot. d. It is often used to visualize a trend in data over intervals of time. 6. What is a bar plot? a. Bar plot presents categorical data in the form of bars with heights or lengths proportional to the values that they represent. b. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. c. The bars can be plotted horizontally or vertically. d. Bar plots can be either single, stacked, or grouped. 7. What is a histogram plot? a. Histogram is a graphical representation of the distribution of numerical data.

Pyplot | Vineeta Garg 2 b. It takes one numerical variable as input. The variable is cut into several bins. The bins are usually specified as consecutive, non- overlapping intervals of a variable. c. The number of observations per bin is represented by the height of the bar.

8. What is the difference between Histogram and Bar graph? HISTOGRAM BAR GRAPH Graphical representation, that uses bars to show the frequency of numerical data. Pictorial representation of data that uses bars to compare different categories of data. Indicates distribution of continuous variables Indicates comparison of discrete variables Presents quantitative data Presents categorical data Bars touch each other Bars do not touch each other Elements are grouped together, so that they are considered as ranges. Elements are taken as individual entities. Bars need not to be same width All bars are of same width