Practice Reading Data From Csv (9.3.1) - Data Analysis using Python - CBSE 12 AI (Artificial Intelligence)

Practice: Reading Data from CSV

Lesson 9.3.1Data Analysis using Python

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does CSV stand for?
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Think about how the data is organized in such files.
Question 2.
What function do you use to read a CSV file in Pandas?
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Remember to include the filename in quotes.
3Question 3.
What command is used to read a CSV file in Pandas?
- pd.load_csv()
- pd.read_csv()
- pd.import_csv()
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Think about the function name that starts with 'read'.
4Question 4.
The df.head() function returns:
- The last five rows of data.
- The first five rows of data.
- The number of rows in DataFrame.
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Consider which part of the data you want to review quickly.
Question 5.
You have a CSV file named grades.csv with 500 student records. Write a sequence of commands to read the file, check for missing values, and summarize data distributions.
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Focus on using commands to read, inspect, and summarize your DataFrame.
Question 6.
Imagine you're analyzing a large CSV dataset. After importing it, illustrate with Python commands how to explore the first 10 rows and determine the dataset’s structure.
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Ensure you adjust the head method to retrieve more rows for inspection.

5 more questions in this section. Enroll free to practise them all.