Databricks Machine Learning Associate Question 510
Select 3You are working in Databricks with a dataset containing both categorical and continuous features. You want to create visualizations to better understand the distribution of these features. Which of the following visualizations are most appropriate for this scenario?
- A
Box plot to visualize the distribution of a continuous feature
- B
Bar chart to display the count of each category for a categorical feature
- C
Scatter plot to compare the relationship between two categorical features
- D
Histogram to analyze the frequency distribution of a continuous feature
- E
Line plot to showcase the trend of a continuous feature over time
Show answer and explanation
Correct answers: A, B, D
Explanation
To create visualizations for categorical and continuous features, it is important to choose plots that effectively represent the data type and provide insights. Box plots and histograms are ideal for continuous features, while bar charts are perfect for categorical features. Scatter plots and line plots are not suitable for this specific scenario as they are meant for other use cases, such as analyzing relationships or trends over time.
- A. Correct.
Correct: A box plot is an excellent choice for visualizing the distribution, spread, and potential outliers of a continuous feature.
- B. Correct.
Correct: A bar chart is widely used to show the counts or proportions of each category in a categorical feature.
- C. Incorrect.
Incorrect: A scatter plot is not typically used for categorical features. It is used to analyze relationships between two continuous features or a continuous and a categorical feature.
- D. Correct.
Correct: A histogram is a standard method for understanding the frequency distribution of a continuous feature by dividing it into bins.
- E. Incorrect.
Incorrect: While a line plot is suitable for time series data, the question does not specify any temporal aspect in the dataset.