IGNOU MCS 67 SOLVED ASSIGNMENT

Included:

MCS 067 (July 2026 - January 2027) - ENGLISH

Course Code : MCS-067
Course Title : Data Wrangling and Visualization
Assignment Number : MSCDSA(II)/067/Assign/2026-27
Maximum Marks : 100
Weightage : 30%
Last Dates for Submission : 31st October, 2026 (for July session)
30th April, 2027 (for January session)
There are four questions in this assignment, which carry 80 marks. Each question carries 20
marks. Rest 20 marks are for viva voce. Algorithms, if asked, should be written in pseudocode
that is closer to Python. You may use illustrations and diagrams to enhance the explanations,
if necessary

Q1:
(a) Explain data wrangling. Discuss the importance of data semantics, set-based profiling, summary
statistics, and data profiling in preparing raw data for data analysis. Illustrate your answer with a suitable
example. (3 Marks)
(b) A retail company has collected customer transaction data containing the following attributes: (3 Marks)
 Customer ID
 Age
 Gender
 City
 Purchase Amount
 Payment Mode
Describe how you would perform data profiling on this dataset. What are the summary statistics that you
would perform on this data?
(c) Make a CSV file that contains employee information. The file should have a few missing salary values, a
few duplicate employee records, a few inconsistent department names, and some incorrect city names.
 (3 Marks)
Write a Python program with suitable comments using pandas that performs the following tasks after
reading the file.
 identify missing values,
 remove duplicate records,
 replace inconsistent values,
 fill missing salary values using an appropriate method, and
 rename the column headings.
(d) Explain different techniques used for handling missing data. Discuss situations where each technique is
appropriate. (3 Marks)
8
(e) A dataset contains the ages of 500 customers ranging from 18 to 80 years. Explain different ways to
classify these customers into age groups using discretisation (binning). (4 Marks)
(f) Write Python code to detect outliers using the interquartile range method. Also, explain the strategies for
handling outliers in data with the help of suitable examples. (4 Marks)
Q2:
(a) Two data files contain customer details and purchase details having the same format. These files may
contain overlapped data. Write and explain the Python program to merge the two files. Make and state
assumptions, if any (3 Marks)
(b) Explain hierarchical indexing. Illustrate how hierarchical indexing can be used for reshaping datasets
with suitable examples. (3 Marks)
(c) A supermarket dataset contains the following fields: (3 Marks)
 Region
 Product Category
 Sales
 Profit
Write a Python program to perform the following tasks:
 group data by Region,
 calculate total sales,
 calculate average profit.
(d) Why is the need to create groups during data analysis? Explain with the help of an example. Explain the
working of the groupby() function in pandas. Discuss grouping using dictionaries, functions and Series
in Python with suitable examples. 
(e) Make a synthetic dataset containing monthly sales of three different products for one year. Write a
Python program using Matplotlib and/or Seaborn to generate a line plot and a scatter plot. Make suitable
assumptions. 
(f) Write a Python code to demonstrate the purpose of figures, axes, labels, legends, annotations and subplot
arrangements with suitable examples.
Q3:
(a) What is a scatter plot matrix? Why is it needed? Write a Python program to make a scatter plot matrix.
 (3 Marks)
(b) A weather department has recorded daily rainfall and temperature data for five years. Suggest suitable
graphical techniques for visualising this dataset. Justify your choices with reference to time series,
scatterplot matrices, and geographical maps. 
9
(c) Using Python, create a dashboard consisting of multiple plots arranged in a single figure. Demonstrate
how titles, legends, annotations and customised plot parameters improve the readability of the
visualisation.
(d) Explain any four applications of graphs in data science with suitable examples. (4 Marks)
(e) A social networking website wants to analyse the relationships among users. Describe how graph
representations such as bipartite graphs, hierarchical trees and graph drawing techniques can be used for
analysing the network. Illustrate your answer with suitable diagrams. 
Q4:
(a) Explain different methods of visualising random forests. 
(b) Explain the use of the bivariate histogram and kernel density estimation with the help of a suitable
example.
(c) Explain the Trellis Paradigm. Why is it needed?
(d) Explain various regression visualisations with the help of an example

Q: How will I receive the PDF?
A: Immediately after payment, the download link will appear.

Q: Is this hand-written or typed?
A: This is a professional typed computer PDF. You can use it as a reference for your handwritten submission.

Details

• Latest IGNOU Solved Assignment
• IGNOU MCS 67 2026 2027 Solved Assignment
• IGNOU 2026 2027 Solved Assignment
• IGNOU MSCDSA Master of Science (M.Sc.) (Data Science and Analytics) (ODL) 2026 2027 Solved Assignment
• IGNOU MCS 67 Data Wrangling and Visualization 2026 2027 Solved Assignment

Looking for IGNOU MCS 67 Solved Assignment 2026 2027. You are on the Right Website. We provide Help book of Solved Assignment of MSCDSA MCS 67 - Data Wrangling and Visualizationof year 2026 2027 of very low price.
If you want this Help Book of IGNOU MCS 67 2026 2027 Simply Call Us @ 9199852182 / 9852900088 or you can whatsApp Us @ 9199852182
 

IGNOU MSCDSA Assignments Jan - July 2027 - IGNOU University has uploaded its current session Assignment of the MSCDSA Programme for the session year 2026 2027. Students of the MSCDSA Programme can now download Assignment questions from this page. Candidates have to compulsory download those assignments to get a permit of attending the Term End Exam of the IGNOU MSCDSA Programme.

Download a PDF soft copy of IGNOU MCS 67 Data Wrangling and Visualization MSCDSA Latest Solved Assignment for Session January 2027 - December 2027 in English Language.

If you are searching out Ignou MSCDSA  MCS 67 solved assignment? So this platform is the high-quality platform for Ignou MSCDSA  MCS 67 solved assignment. Solved Assignment Soft Copy & Hard Copy. We will try to solve all the problems related to your Assignment. All the questions were answered as per the guidelines. The goal of IGNOU Solution is democratizing higher education by taking education to the doorsteps of the learners and providing access to high quality material. Get the solved assignment for MCS 67 Data Wrangling and Visualization course offered by IGNOU for the year 2026 2027.Are you a student of high IGNOU looking for high quality and accurate IGNOU MCS 67 Solved Assignment 2026 2027 English Medium? 

Students who are searching for IGNOU Master of Science (M.Sc.) (Data Science and Analytics) (ODL) (MSCDSA) Solved Assignments 2026 2027 at low cost. We provide all Solved Assignments, Project reports for Masters & Bachelor students for IGNOU. Get better grades with our assignments! ensuring that our IGNOU Master of Science (M.Sc.) (Data Science and Analytics) (ODL) Solved Assignment meet the highest standards of quality and accuracy.Here you will find some assignment solutions for IGNOU MSCDSA Courses that you can download and look at. All assignments provided here have been solved.IGNOU MCS 67 SOLVED ASSIGNMENT 2026 2027. Title Name MCS 67 English Solved Assignment 2026 2027. Service Type Solved Assignment (Soft copy/PDF).

Are you an IGNOU student who wants to download IGNOU Solved Assignment 2024? IGNOU  Solved Assignment 2023-24 Session. IGNOU Solved Assignment and In this post, we will provide you with all solved assignments.

If you’ve arrived at this page, you’re looking for a free PDF download of the IGNOU MSCDSA Solved Assignment 2026 2027. MSCDSA is for Master of Science (M.Sc.) (Data Science and Analytics) (ODL).

IGNOU solved assignments are a set of questions or tasks that students must complete and submit to their respective study centers. The solved assignments are provided by IGNOU Academy and must be completed by the students themselves.

Course Name	Master of Science (M.Sc.) (Data Science and Analytics) (ODL)
Course Code	MSCDSA
Programm	Courses
Language	English

 

 

 

IGNOU MCS 67 Solved Assignment	ignou assignment 2026 2027,   2026 2027 MCS 67
IGNOU MCS 67 Assignment	ignou solved assignment MCS 67
MCS 67 Assignment 2026 2027	solved assignment MCS 67
MCS 67 Assignment 2026 2027	assignment of ignou MCS 67
Download IGNOU MCS 67 Solved Assignment 2026 2027	ignou assignments MCS 67
Ignou result MCS 67	Ignou Assignment Solution MCS 67