Welcome! If you are studying Class 9 Computer Science and want easy notes for Unit 9 – Data Science and Data Gathering, you are in the right place.
This unit teaches how data is collected, organized, and used to make decisions. You will learn about different types of data, how to organize and analyze it, data visualization, and the basics of data pre-processing.
These notes are written in simple language to make it easy for students to understand. You can also download the PDF for quick revision anytime. These notes are perfect for exam preparation and strengthening your concepts.
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❓ FAQs – Class 9 Computer Science Unit 9: Data Science and Data Gathering
Q1: What is Data and why is it important?
A: Data is raw information like numbers, text, or facts collected for analysis. It is important because it helps us make decisions, solve problems, and understand real-life situations.
Q2: What are the main types of data?
A: The main types are:
- Numerical Data: Numbers like marks or age
- Textual Data: Words like names or addresses
- Categorical Data: Groups or categories like colors, grades, or gender
Q3: What is Data Visualization and why is it used?
A: Data Visualization means showing data using charts, graphs, or diagrams. It is used to understand data quickly and identify patterns easily.
Q4: What is Data Pre-Processing?
A: Data Pre-Processing is cleaning and organizing data before analysis. This includes removing errors, filling missing values, and formatting data so it can be analyzed correctly.
Q5: How can I use these notes for exams?
A: These notes cover all important topics in simple language. You can read them for understanding, revise quickly before exams, and use them to prepare effectively.
📝 MCQs – Data Science and Data Gathering (Class 9)
Q1: Which of the following is an example of numerical data?
a) Name of a student
b) Age of a student
c) Gender of a student
d) City of residence
Answer: b) Age of a student
Q2: Data that is divided into categories like colors or grades is called:
a) Textual Data
b) Numerical Data
c) Categorical Data
d) Structured Data
Answer: c) Categorical Data
Q3: Which of the following is NOT a type of data visualization?
a) Pie Chart
b) Bar Graph
c) Scatter Plot
d) SQL Query
Answer: d) SQL Query
Q4: The process of cleaning and organizing data before analysis is called:
a) Data Mining
b) Data Pre-Processing
c) Data Visualization
d) Data Collection
Answer: b) Data Pre-Processing
Q5: Which of the following is a use of Data Science?
a) Finding patterns in data
b) Making decisions based on data
c) Predicting future trends
d) All of the above
Answer: d) All of the above
Q6: Why is Data Visualization important in Data Science?
a) To make data harder to read
b) To show data in graphical form for easy understanding
c) To delete data
d) To convert data into text only
Answer: b) To show data in graphical form for easy understanding
Q7: Which of the following is an example of a data pre-processing step?
a) Creating charts
b) Cleaning missing values
c) Writing a report
d) Reading data from a book
Answer: b) Cleaning missing values