diff --git a/test_copy.qmd b/test_copy.qmd
index cf51a4e..d078371 100644
--- a/test_copy.qmd
+++ b/test_copy.qmd
@@ -15,10 +15,35 @@ library(tidyverse)
 
 This script creates a `count.csv` file that has a column "count" with the first variable being the number of counties in the s3 bucket and the second bing the number of places. 
 ```{bash}
+echo "count" > count.csv
+aws s3 ls s3://mobility-metrics-data-pages-dev/999_county-pages/ | wc -l >> count.csv
+aws s3 ls s3://mobility-metrics-data-pages-dev/998_place-pages/ | wc -l >> count.csv
+```
+
+```{r}
+library(tidyverse)
+count <- read_csv("count.csv")
+counties_count <- count[1, 1] %>% 
+  pull(count)
+
+places_count <- count[2, 1] %>%
+  pull(count)
+
+stopifnot(counties_count == 3143)
+stopifnot(places_count == 486)
 
+```
+
+##Test 2:
+```{bash}
+aws s3 ls s3://mobility-metrics-data-pages-dev/999_county-pages/ --recursive | sort | tail -n 1 
+```
 
+```{bash}
+aws s3 ls s3://mobility-metrics-data-pages-dev/998_place-pages/ --recursive | sort | tail -n 1 
 ```
 
+```
 ## Test 3: 
 To ensure that all of the files are created, we can count the number of files called `index.html` on the EC2 instance in each of the sub-directories. Specifically, you can run:
 `find factsheets/999_county-pages/ -type f -name 'index.html' | wc -l`