feat: convert hyphens to en dashes.

index.qmd

@@ -32,7 +32,7 @@ df_day |>
         geom_line(color="cornflowerblue") + 
         scale_x_date(date_labels = "%b %Y", date_breaks = "1 year") +
         scale_y_continuous(labels = comma) +
-        labs(title="Average daily taxi trips per week, January 2019 - June 2024",
+        labs(title="Average daily taxi trips per week, January 2019 – June 2024",
              x = "Date", 
              y = "Average number of trips in a day") +
         theme_classic()
@@ -59,12 +59,12 @@ df_day |>
         geom_line(color="cornflowerblue") + 
         geom_hline(yintercept=0)+
         scale_x_date(date_labels = "%b %Y", date_breaks = "1 year") +
-        labs(title="Average weekly temp, January 2019 - June 2024",
+        labs(title="Average weekly temp, January 2019 – June 2024",
              x = "Date", 
              y = "Tempurature (Celsius)") +
         theme_classic()
 ```
 
 Average weekly temperature looks fairly consistent over time, with expected seasonal peaks and valleys across the year. There may be a subtle trend of slightly higher average temperatures in more recent years, but nothing too definitive. 
 
-As just one data point, temperature provides a limited slice into what may distinguish a "nice day." In the next chapter, we will see that it will be necessary to calculate additional numeric and categorical weather measurements to help establish this definition. Ideas include change in temperature and a simple categorical variable for cloud cover derived from the multiple columns currently devoted to cloud cover. 
+As just one data point, temperature provides a limited slice into what may distinguish a "nice day." In the next chapter, we will see that it will be necessary to calculate additional numeric and categorical weather measurements to help establish this definition. Ideas include change in temperature and a simple categorical variable for cloud cover derived from the multiple columns currently devoted to cloud cover.