Practice Loading And Exploring Datasets (9.3)

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9 questions

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2 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 function do you use to load a dataset from a CSV file?
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Think about loading a file into a DataFrame.
Question 2.
How do you find out the first few rows of a DataFrame?
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This method helps you see the 'head' of the data.
3Question 3.
What function is used to read a CSV file into a DataFrame?
- pd.load_csv()
- pd.read_csv()
- pd.open_csv()
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Remember the specific method for reading files.
4Question 4.
True or False: The method df.describe() gives a summary of all columns including non-numeric ones.
- True
- False
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What data types does `describe()` focus on?
Question 5.
You have a dataset of student scores stored in 'scores.csv'. Write the code to load this data and check its first five rows.
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Remember to use the right function to read the CSV.
Question 6.
After loading a dataset, how can you quickly check how many entries you have and the types of data in each column?
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Think about what each of these methods provides.

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