publishing TDM 20100 Project 13

projects-appendix/modules/ROOT/nav.adoc

@@ -31,6 +31,7 @@
 *** xref:fall2024/20100/20100-2024-project10.adoc[Project 10]
 *** xref:fall2024/20100/20100-2024-project11.adoc[Project 11]
 *** xref:fall2024/20100/20100-2024-project12.adoc[Project 12]
+*** xref:fall2024/20100/20100-2024-project13.adoc[Project 13]
 ** xref:fall2024/30100/30100-2024-projects.adoc[TDM 30100]
 *** xref:fall2024/30100/30100-2024-project1.adoc[Project 1]
 *** xref:fall2024/30100/30100-2024-project2.adoc[Project 2]

projects-appendix/modules/ROOT/pages/fall2024/20100/20100-2024-project13-mdw.adoc → projects-appendix/modules/ROOT/pages/fall2024/20100/20100-2024-project13.adoc

@@ -141,7 +141,10 @@ Revisit your work from Project 12, Question 2, using the flights database that y
 
 Join the `flights` and the `airports` table, matching the `Origin` column to the `iata` column. Find the total number of flights in the database for each `Origin` airport that is located in Texas.  Make a dotchart that shows, for each `Origin` airport in Texas, the total number of flights and the 3-letter `Origin` airport code.
 
-
+[NOTE]
+====
+There are 29 airports in Texas that should appear in your `dotchart`.  It is OK to put the `dotchart` in any order that you like, i.e., in numerical order, alphabetical order, or any other order is OK!
+====
 
 .Deliverables
 ====
@@ -151,7 +154,7 @@ Make a dotchart that shows, for each `Origin` airport in Texas, the total number
 
 == Submitting your Work
 
-Now we known how to leverage our knowledge of SQL when working in R!
+Now we know how to leverage our knowledge of SQL when working in R!