Using the ax.scatter method add a scatter plot of the "co2" column (x-axis) against the "relative_temp" column.fig, ax =

Here's the updated code: ```python fig, ax = plt.subplots() # Add data: "co2", "relative_temp" as x-y, index as color ax.scatter(data["co2"], data["relative_temp"], c=data.index) # Set the x-axis label to "CO2 (ppm)" ax.set_xlabel("CO2 (ppm)") # Set the y-axis label to "Relative temperature (C)" ax.set_ylabel("Relative temperature (C)") plt.show() ``` We use the `c` keyword argument to pass in the index of the DataFrame as input to color each point according to its date. We then set the x-axis label to "CO2 (ppm)" and the y-axis label to "Relative temperature (C)".