Render key

modules/Data_Output/lab/Data_Output_Lab_Key.html

@@ -366,8 +366,18 @@ <h3>1.1</h3>
 <pre><code># General format
 library(readr)
 # OBJECT &lt;- read_csv(FILE)</code></pre>
-<pre class="r"><code>library(tidyverse)
-covid &lt;- read_csv(file = &quot;https://daseh.org/data/SARS-CoV-2_Wastewater_Data.csv&quot;)</code></pre>
+<pre class="r"><code>library(tidyverse)</code></pre>
+<pre><code>## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
+## ✔ dplyr     1.1.4     ✔ readr     2.1.5
+## ✔ forcats   1.0.0     ✔ stringr   1.5.1
+## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
+## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
+## ✔ purrr     1.0.2     
+## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
+## ✖ dplyr::filter() masks stats::filter()
+## ✖ dplyr::lag()    masks stats::lag()
+## ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
+<pre class="r"><code>covid &lt;- read_csv(file = &quot;https://daseh.org/data/SARS-CoV-2_Wastewater_Data.csv&quot;)</code></pre>
 <pre><code>## Warning: One or more parsing issues, call `problems()` on your data frame for details,
 ## e.g.:
 ##   dat &lt;- vroom(...)
@@ -383,7 +393,7 @@ <h3>1.1</h3>
 <div id="section-1" class="section level3">
 <h3>1.2</h3>
 <p>Filter the dataset so that the “reporting_jurisdiction” column is
-equal to “Maryland” (aka the entire USA). Store the modified dataset as
+equal to “Maryland”. Store the modified dataset as
 <code>covid_filtered</code>.</p>
 <pre><code># General format
 NEW_OBJECT &lt;- OBJECT %&gt;% filter(COLUMNNAME == CRITERIA)</code></pre>