Matplotlib

The same numbers reveal different relationships depending on the graph. Distinguish changes over time from comparisons across categories.

Starting conditions

$t=\begin{bmatrix}0&1&2&3&4\end{bmatrix}$, temperature=[20,21,23,22,24] °C.

Procedure

1. Display the same data as a line plot and a bar chart.
2. Use actual values to explain which representation makes trends or values at specific times easier to read.

Results to retain

• 2 plots and 3 sentences explaining the choice of representation.

Starting conditions

Add the second sensor's data [19,21,22,23,23] and compare on the same axes.

Procedure

1. Associate the second sensor values [19,21,22,23,23] with the same times $0,1,2,3,4$, and plot them on the same axes in the same Figure as the first sensor.
2. Use a legend to distinguish the two sensors. Record time, first sensor value, second sensor value, and first minus second in five rows.
3. Find and explain the times when the two sensors agree and differ most, using the table and plots.

Results to retain

• Time plots of both sensors and a table comparing values at the same times.

Starting conditions

Plot the same two sensors' data as a scatter plot, and compare interpretations when time order is removed.

Procedure

1. Pair the two sensors' values at each time and create a scatter plot with the first sensor on the x-axis and the second on the y-axis. Use the same data as the preceding time plot.
2. Label each point with its time to identify the sample. Explain the relationship between the two sensors visible in the scatter plot separately from the sequence of changes that cannot be inferred without time labels.

Results to retain

• Compare interpretations of a sensor-value scatter plot labeled with times and a time plot.