Practice Reading CSV - 5.1 | Python for Data Science | Data Science Basic
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Reading CSV

5.1 - Reading CSV

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What function is used to read a CSV file in Pandas?

💡 Hint: Think about how we load data into a DataFrame.

Question 2 Easy

What does the describe() function do?

💡 Hint: This helps in understanding the collected data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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

💡 Hint: Think about how we get information into Python.

Question 2

True or False: The describe() method provides detailed textual data on categorical columns.

True
False

💡 Hint: Consider what types of data `describe()` is useful for.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a Python function that takes a filename as input, reads the CSV and returns the first 10 rows along with summary statistics.

💡 Hint: Consider how we can structure code to be reusable.

Challenge 2 Hard

Given a CSV file containing temperature records, write code to calculate the average temperature from a specified column.

💡 Hint: Remember how to select columns within a DataFrame and apply aggregation functions.

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