Practice Pandas (panel Data) (9.2.2) - Data Analysis using Python

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10 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What command do you use to import the Pandas library?
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Think about how you usually import libraries in Python.
Question 2.
How would you create a Series with numbers 1 to 5?
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Remember, a Series is an array-like structure.
3Question 3.
What does Pandas primarily focus on?
- Data Storage
- Data Manipulation
- Data Visualization
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Think about what you would do with a dataset.
4Question 4.
True or False: A DataFrame can only contain one data type.
- True
- False
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Consider how a spreadsheet looks.
Question 5.
You have a CSV file named 'sales_data.csv'. Write code to load this file into a DataFrame and display the first five rows.
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Use read_csv function to load the file, just ensure the file path is correct.
Question 6.
After creating a DataFrame, write a code snippet to filter and display rows where the 'Revenue' column is greater than 5000.
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Use conditionals within brackets to filter DataFrame rows.

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