probably typos in fig-alt (#1667)

numbers.qmd

@@ -247,7 +247,7 @@ The results are shown in @fig-prop-cancelled.
 #| fig-alt: |
 #|   A line plot showing how proportion of cancelled flights changes over
 #|   the course of the day. The proportion starts low at around 0.5% at
-#|   6am, then steadily increases over the course of the day until peaking
+#|   5am, then steadily increases over the course of the day until peaking
 #|   at 4% at 7pm. The proportion of cancelled flights then drops rapidly
 #|   getting down to around 1% by midnight.
 flights |> 
@@ -588,9 +588,9 @@ The median delay is always smaller than the mean delay because flights sometimes
 #| fig-alt: |
 #|   All points fall below a 45° line, meaning that the median delay is
 #|   always less than the mean delay. Most points are clustered in a 
-#|   dense region of mean [0, 20] and median [0, 5]. As the mean delay
+#|   dense region of mean [0, 20] and median [-5, 5]. As the mean delay
 #|   increases, the spread of the median also increases. There are two
-#|   outlying points with mean ~60, median ~50, and mean ~85, median ~55.
+#|   outlying points with mean ~60, median ~30, and mean ~85, median ~55.
 flights |>
   group_by(year, month, day) |>
   summarize(
@@ -701,7 +701,7 @@ The distributions seem to follow a common pattern, suggesting it's fine to use t
 #| fig-alt: |
 #|   The distribution of `dep_delay` is highly right skewed with a strong
 #|   peak slightly less than 0. The 365 frequency polygons are mostly 
-#|   overlapping forming a thick black bland.
+#|   overlapping forming a thick black band.
 
 flights |>
   filter(dep_delay < 120) |>