A data scientist is working with a data set that covers a two-year period for a large number of machines. The data set contains:Machine system ID…

The objective is to visualize the trend of total measurements over a continuous two-year period. A line plot is the most suitable choice for this task as it is specifically designed to display a quantitative value changing over a continuous interval, such as time. The x-axis would represent the daily timestamps, and the y-axis would represent the aggregated total measurements for each day. This effectively illustrates patterns, trends, and fluctuations in the data over the specified period.

A. Scatter plot: This shows the relationship between two numerical variables as a collection of points, but it does not connect them to effectively visualize a trend over time.
C. Histogram: This visualizes the frequency distribution of a single variable. It would show how often certain measurement totals occurred but would lose the time-series component entirely.
D. Box-and-whisker plot: This summarizes the statistical distribution of data (e.g., median, quartiles) and is best for comparing distributions across categories, not for showing a continuous trend.

1. University of Virginia Library, Research Data Services + Sciences. (n.d.). Choosing a Good Chart. In the section "Line," it states, "Line graphs are used to track changes over short and long periods of time. When smaller changes exist, line graphs are better to use than bar graphs." This directly supports using a line plot for time-series data. Retrieved from https://data.library.virginia.edu/data-visualization/choosing-a-good-chart/

2. Carnegie Mellon University, Open Learning Initiative. (n.d.). Statistical Reasoning, Unit 2: Examining Relationships. In the section "Time Series Plots," the courseware explains, "When one of the two variables in the relationship is time, the data is referred to as time series data... In a time series plot, time is the explanatory variable and is always placed on the horizontal axis." This defines the standard method for plotting data over time, which is a line plot.

3. Duke University Libraries, Data and Visualization Services. (n.d.). Data Visualization: Chart Chooser. This guide recommends a "Line Chart" for visualizing "Data over time," describing its purpose as showing "trends in data, typically over a period of time (time-series)." This aligns perfectly with the scenario's requirements. Retrieved from https://guides.library.duke.edu/datavis/chartchooser