images

02-data-structures.Rmd

@@ -183,6 +183,25 @@ Perhaps the most important operation you will can do with Dataframes is subsetti
 
 You will use the `iloc` and bracket operations, and you give two slices: one for the row, and one for the column.
 
+Let's start with a small dataframe to see how it works before returning to `metadata`:
+
+```{python}
+df = pd.DataFrame(data={'status': ["treated", "untreated", "untreated", "discharged", "treated"],
+                            'age_case': [25, 43, 21, 65, 7],
+                            'age_control': [49, 20, 32, 25, 32]})
+df
+```
+
+Here is how the dataframe looks like with the row and column index numbers:
+
+![](images/pandas_subset_0.png)
+
+Subset the second to fourth rows, and the first two columns:
+
+![](images/pandas_subset_1.png)
+
+Now, back to `metadata` dataframe.
+
 Subset the first 5 rows, and first two columns:
 
 ```{python}

03-data-wrangling1.Rmd

@@ -0,0 +1,9 @@
+```{r, include = FALSE}
+ottrpal::set_knitr_image_path()
+```
+
+# Data Wrangling
+
+## Exercises
+
+Exercise for week 3 can be found [here](#)

_bookdown.yml

@@ -4,6 +4,7 @@ repo: https://github.com/jhudsl/OTTR_Template/
 rmd_files: ["index.Rmd",
             "01-intro-to-computing.Rmd",
             "02-data-structures.Rmd",
+            "03-data-wrangling1.Rmd",
             "About.Rmd",
             "References.Rmd"]
 new_session: yes