sync viz with python book; remove old style syntax fig

source/viz.Rmd

@@ -282,33 +282,14 @@ There are a few basic aspects of a plot that we need to specify:
     - To create a geometric object, we use a `geom_*` function (see the [ggplot reference](https://ggplot2.tidyverse.org/reference/) for a list of geometric objects).
     - Here, we use the `geom_point` function to visualize our data as a scatter plot.
 
-Figure \@ref(fig:03-ggplot-function-scatter)
-shows how each of these aspects map to code
-for creating a basic scatter plot of the `co2_df` data.
-Note that we could pass many other possible arguments to the aesthetic mapping
-and geometric object to change how the plot looks. For the purposes of quickly
-testing things out to see what they look like, though, we can just start with the
-default settings.
-\index{ggplot!aes}
-\index{ggplot!geom\_point}
-
-(ref:03-ggplot-function-scatter) Creating a scatter plot with the `ggplot` function.
-
-```{r 03-ggplot-function-scatter, echo = FALSE, fig.align = "center", fig.cap = "(ref:03-ggplot-function-scatter)", message = FALSE, out.width = "100%"}
-image_read("img/viz/ggplot_function_scatter.jpeg") |>
-  image_crop("1625x1900")
-```
-
-\newpage
-
 ```{r 03-data-co2-scatter, warning=FALSE, message=FALSE, fig.height = 3.1, fig.width = 4.5, fig.align = "center", fig.cap = "Scatter plot of atmospheric concentration of CO$_{2}$ over time."}
 co2_scatter <- ggplot(co2_df, aes(x = date_measured, y = ppm)) +
   geom_point()
 
 co2_scatter
 ```
 
-Certainly, the visualization in Figure \@ref(fig:03-data-co2-scatter)
+The visualization in Figure \@ref(fig:03-data-co2-scatter)
 shows a clear upward trend
 in the atmospheric concentration of CO$_{\text{2}}$ over time.
 This plot answers the first part of our question in the affirmative,