Create Visualizations for Categorical or Continuous Features MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A data analyst is exploring a dataset of patient ages. The `age` column is continuous. The analyst also has a `gender` column with values 'Male' and 'Female'. The analyst wants to compare the distribution of ages between the two gender groups. Which visualization is the most appropriate?

   • AA bar chart of the mean age for each gender.
   • BA single histogram of `age` for all patients.
   • COverlaid histograms of `age` for each gender.
   • DA pie chart of the `age` column.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A machine learning engineer is working with a dataset of housing prices. The `price` column is a continuous variable with a heavily right-skewed distribution. The `house_type` column is categorical with values 'Apartment', 'House', and 'Townhouse'. The engineer wants to visualize the distribution of `price` for each `house_type` to check for outliers and compare their spreads. Which visualization is the most effective for this task?

   • AA box plot with `house_type` on the x-axis and `price` on the y-axis.
   • BA single histogram of all prices, colored by house type.
   • CA scatter plot of `price` vs. `house_type`.
   • DA grouped bar chart showing the mean price for each house type.
   Reveal Solution Discussion Select an answer first
4. 8application · easy

   A data scientist is building a model to predict customer lifetime value. The dataset includes a categorical feature `subscription_type` with values 'Basic', 'Premium', and 'Enterprise'. The scientist wants to check the class balance of this feature to understand if there is a significant class imbalance. Which visualization is most appropriate?

   • AA line chart showing the count of each subscription type.
   • BA box plot of the `subscription_type` column.
   • CA histogram of the `subscription_type` column.
   • DA bar chart showing the count of each `subscription_type`.
   Reveal Solution Discussion Select an answer first
5. 9application · easy

   A data analyst is preparing a report on website traffic sources. The `source` column contains values like 'Organic Search', 'Paid Ads', 'Social Media', and 'Direct'. The analyst wants to show the proportion of total sessions attributed to each source. Which visualization is the most appropriate?

   • AA box plot of the `source` column.
   • BA line chart showing the number of sessions over time, colored by source.
   • CA pie chart showing the percentage of sessions for each source.
   • DA histogram of the `source` column.
   Reveal Solution Discussion Select an answer first
6. 10expert · hard

   A data scientist is analyzing a dataset with a continuous feature `income` that is heavily right-skewed. The scientist wants to compare the distribution of `income` across two categorical groups, `urban` and `rural`. The scientist is concerned that the skewness will make it difficult to see the differences in the bulk of the data. Which approach is the most appropriate to address this concern?

   • ACreate a bar chart of the mean income for each group.
   • BApply a log transformation to `income` and then create a box plot for each group.
   • CCreate a box plot of `income` for each group without any transformation.
   • DCreate a histogram of `income` for each group without any transformation.
   Reveal Solution Discussion Select an answer first