Practice Reading Csv (5.1) - Python for Data Science

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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 function is used to read a CSV file in Pandas?
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Think about how we load data into a DataFrame.
Question 2.
What does the describe() function do?
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This helps in understanding the collected data.
3Question 3.
What is the purpose of the pd.read_csv() function?
- To write data to a CSV file
- To read data from a CSV file
- To create a new DataFrame
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Think about how we get information into Python.
4Question 4.
True or False: The describe() method provides detailed textual data on categorical columns.
- True
- False
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Consider what types of data `describe()` is useful for.
Question 5.
Create a Python function that takes a filename as input, reads the CSV and returns the first 10 rows along with summary statistics.
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Consider how we can structure code to be reusable.
Question 6.
Given a CSV file containing temperature records, write code to calculate the average temperature from a specified column.
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Remember how to select columns within a DataFrame and apply aggregation functions.

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