Bar Graphs

Which Python library is commonly used to create bar graphs?

• A) Pandas

• B) Seaborn

• C) Matplotlib

• D) NumPy

What function in Matplotlib is used to create bar graphs?

• A) plot()

• B) scatter()

• C) bar()

• D) line()

What does each bar in a bar graph represent?

• A) A numerical value

• B) A categorical value

• C) An outlier

• D) A trend

How are the values represented in a bar graph?

• A) By points

• B) By lines

• C) By rectangular bars

• D) By curves

What is the main purpose of a bar graph?

• A) To show trends over time

• B) To display correlations between variables

• C) To compare different categories of data

• D) To visualize distribution of numerical data

How can you customize the appearance of bars in a Matplotlib bar graph?

• A) By changing the color and width of bars

• B) By changing the shape of bars

• C) By changing the length of bars

• D) By changing the orientation of bars

What is a bar graph?

• A) A graph showing the relationship between two numerical variables

• B) A graph showing the distribution of numerical data

• C) A graph showing the distribution of categorical data using rectangular bars

• D) A graph showing the trend of numerical data over time

What type of data is best represented using a bar graph?

• A) Continuous numerical data

• B) Discrete numerical data

• C) Categorical data

• D) Time series data

What makes bar graphs effective tools for conveying information?

• A) Their ability to represent numerical data

• B) Their simplicity and ease of interpretation

• C) Their suitability for visualizing trends over time

• D) Their capability to handle large datasets

What aspect of the data do the lengths of the bars represent in a bar graph?

• A) The standard deviation

• B) The mean

• C) The median

• D) The mode