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2 cards from this section. Quick, good the night before a test.
What is a CSV file used for?
Think about how data is organized in a table.
What command is used to read a CSV file in Pandas?
Remember the library we are using.
What library do we use to read CSV files in Python?
Consider which library we've focused on today.
The head() method displays how many rows by default?
Think about the default settings of common functions.
You have a CSV file with hundreds of entries. Write a code snippet to find the average of a certain column in the data.
Remember to replace 'column_name' with the actual name of the column you're interested in.
Consider a scenario where you need to display the top 10 rows of a large dataset while also handling any potential missing values. Write a Python script to achieve this.
How do we manage missing values while reading?
5 more questions in this section. Enroll free to practise them all.
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