To make a line plot for each set of data and identify any clusters, gaps, and outliers, follow these steps:
1. Daily Low Temperatures:
- Start by setting up a line plot with the vertical axis representing the temperature values and the horizontal axis representing the days.
- Plot each temperature value on the line plot according to its corresponding day.
- Identify any clusters (groupings of temperature values that are close together), gaps (missing temperature values between two consecutive days), and outliers (temperature values that are significantly different from the rest).
2. Number of Stories in Town Buildings:
- Set up a new line plot with the vertical axis representing the number of stories and the horizontal axis representing the buildings.
- Plot the number of stories for each building according to its corresponding position on the horizontal axis.
- Look for any clusters (groupings of buildings with a similar number of stories), gaps (missing buildings between two consecutive positions), and outliers (buildings with an unusually high or low number of stories).
Note: Since there are no specific positions mentioned for the town buildings, the line plot for the number of stories may not provide as much meaningful information as the one for daily low temperatures.