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4. Before creating charts, data should first be:
a) Deleted b) Randomly arranged
c) Cleaned and organised d) Converted into videos
5. Which of the following is an example of unstructured data?
a) Student marks in a table b) Attendance record
c) Audio recording d) Sales data in a spreadsheet
B. Fill in the blanks.
1. Data visualization transforms data into a form such as charts or graphs.
2. A database stores data in and columns.
3. Unstructured data includes and videos.
4. Accuracy refers to how close a measurement is to the value.
5. A pattern is something that appears in the data.
C. True or False.
1. Pie charts show how data changes over time.
2. Structured data is easy to search and analyse.
3. Valid data must be both accurate and precise.
4. Observation is a method of data collection.
5. Extra digits added during processing may reduce meaningful precision.
D. Short Answer Questions.
1. What is data? Give two examples.
2. Differentiate between structured and unstructured data.
3. Why is data format important?
4. What steps are involved in preparing data for visualization?
5. Explain the difference between precision and accuracy with an example.
E. Identify the Skill Used.
Situation Skills used
A student counts how many classmates come to school by bus.
The cricket team captain arranges match scores in rows and
columns.
A student studies a line graph and concludes that marks improved
over time.
A pie chart is created to show favourite sports in the class.
Duplicate entries are removed before preparing a chart.
66 Artificial Intelligence (CT & AI)-VII

