CUET-UG SERIES Computer-science
Data Handling
5 previous year questions.
Volume: 5 Ques
Yield: Medium
High-Yield Trend
5
2023 Chapter Questions 5 MCQs
01
PYQ 2023
medium
computer-science ID: cuet-ug-
Which of the following is not a Descriptive Statistical method that can be applied to a DataFrame?
1
sum()
2
count()
3
avg()
4
mean()
02
PYQ 2023
medium
computer-science ID: cuet-ug-
Match List I with List II
Choose the correct answer from the options given below :
| List I | List II | ||
| A. | Dataframe.min() | I. | Display the total number of values for each columns or a row of a dataframe |
| B. | Dataframe.sum() | II. | Display the sum of the values from the dataframe |
| C. | Dataframe.count() | III. | Display the middle values of the data |
| D. | Dataframe.median() | IV. | Display the minimum values from the dataframe |
1
A-II, B-I, C-IV, D-III
2
A-I, B-II, C-IV, D-III
3
A-III, B-IV, C-I, D-II
4
A-IV, B-II, C-I, D-III
03
PYQ 2023
medium
computer-science ID: cuet-ug-
The file pointer is at beginning of the file in :
Choose the correct answer from the options given below :
Choose the correct answer from the options given below :
1
(A), (B) and (E) only
2
(A), (B) and (D) only
3
(B), (C) and (D) only
4
(B), (D) and (E) only
04
PYQ 2023
medium
computer-science ID: cuet-ug-
Which is the source of a recorded data in a well defined format ?
1
Audio/Video files
2
Social media messages
3
News paper
4
Depositing fee in a school
05
PYQ 2023
medium
computer-science ID: cuet-ug-
Which is the source of a recorded data in a well defined format?
1
Audio/Video files
2
Social media messages
3
News paper
4
Depositing fee in a school
About Data Handling - CUET-UG
Data Handling is a vital chapter for CUET-UG aspirants. Mastering the concepts covered in this chapter is essential for securing a top rank.
By rigorously practicing the previous year questions associated with this chapter, you can identify high-yield topics, understand the examiner's perspective, and boost your confidence during the actual exam.
Frequently Asked Questions
Why focus on Data Handling PYQs?
Analyzing PYQs for this specific chapter reveals the most frequently tested concepts and the typical complexity of questions, allowing you to tailor your study plan efficiently.
How to best use this analysis?
Review the topic breakdown to see which sub-topics within Data Handling carry the most weight. Then, tackle the questions iteratively to solidify your understanding.