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Session 7 Part 1 quiz

Question 1

What is a pandas DataFrame?

  • A Python package manager.
  • A table-like object with rows and columns.
  • A folder that stores datasets.
  • A command used to activate a virtual environment.

Answer: 2 Type: single Time: 45 Explanation: A DataFrame is a labelled table of data.

Question 2

Which command loads Movies.json into pandas?

  • pd.read_csv("datasets/Movies.json")
  • pd.read_json("datasets/Movies.json")
  • pd.open_json("datasets/Movies.json")
  • pd.load("datasets/Movies.json")

Answer: 2 Type: single Time: 45 Explanation: JSON files can be loaded with pd.read_json.

Question 3

What does movies.shape show?

  • The number of missing values only.
  • The first five rows.
  • The number of rows and columns.
  • The data type of each column.

Answer: 3 Type: single Time: 45 Explanation: shape returns (rows, columns).

Question 4

Which command shows the data type of each column?

  • movies.dtypes
  • movies.columns
  • movies.head()
  • movies.tail()

Answer: 1 Type: single Time: 45 Explanation: dtypes lists the inferred type of each column.

Question 5

What does this code do?

movies[movies["IMDB Rating"] >= 8]
  • It deletes movies with low ratings.
  • It filters rows where IMDB Rating is at least 8.
  • It renames the IMDB Rating column.
  • It sorts all movies by rating.

Answer: 2 Type: single Time: 60 Explanation: The condition keeps only rows where the rating is greater than or equal to 8.

Question 6

Why should you inspect a dataset before cleaning it?

  • To understand columns, types, and possible problems.
  • To make the file smaller.
  • To avoid writing Python code.
  • To remove all missing values automatically.

Answer: 1 Type: single Time: 45 Explanation: Inspection helps you decide what cleaning is appropriate.

Question 7

Which method counts how often each value appears in a column?

  • value_counts()
  • shape()
  • head()
  • read_json()

Answer: 1 Type: single Time: 45 Explanation: value_counts() counts values in a Series.

Question 8

Which command sorts movies by IMDB Rating from highest to lowest?

  • movies.sort_values("IMDB Rating", ascending=False)
  • movies.sort_values("IMDB Rating", ascending=True)
  • movies.value_counts("IMDB Rating")
  • movies.head("IMDB Rating")

Answer: 1 Type: single Time: 60 Explanation: ascending=False sorts the largest values first.