Fixing duplicate infomation on downloading data in literate analysis …

…example

materials/sections/r-intro-quarto.qmd

@@ -223,24 +223,22 @@ Hitting return does not execute this command; remember, it's just a text file. T
 
 Now that we have gone over the basics, let's go a little deeper by building a simple, Quarto document that represents a literate analysis using real data. We are going to work with the seawater chemistry data. We are going to download a file named `BGchem2008data.csv` from the Arctic Data Center repository. Please follow the steps below to download the data and then upload to your RStudio Server `data` folder.
 
-::: callout-tip
-## Setup
-
--   Navigate to the following dataset: <https://doi.org/10.18739/A25T3FZ8X>
--   Download the file `BGchem2008data.csv`
--   Click the "Upload" button in your RStudio server file browser.
--   In the dialog box, make sure the destination directory is the `data` directory in your R project, click "Choose File," and locate the `BGchem2008data.csv` file. Press "OK" to upload the file.
--   Check your file was successfully uploaded by navigating into your `data` folder in the **Files** pane.
-:::
 
 ### Getting Started
 
 ::: callout-tip
-#### Download a file from the Arctic Data Center
+#### Set up
 
 1.  Navigate to this dataset by Craig Tweedie that is published on the Arctic Data Center. [Craig Tweedie. 2009. North Pole Environmental Observatory Bottle Chemistry. Arctic Data Center. doi:10.18739/A25T3FZ8X.](http://doi.org/10.18739/A25T3FZ8X)
+
 2.  Download the first csv file called `BGchem2008data.csv` by clicking the "download" button next to the file.
-3.  Move this file from your `Downloads` folder into the `data` directory we created in our R Project `training_{USERNAME}`.
+
+3. Click the "Upload" button in your RStudio server file browser.
+
+3. In the dialog box, make sure the destination directory is the `data` directory in your R project, click "Choose File," and locate the `BGchem2008data.csv` file. Press "OK" to upload the file.
+
+4. Check your file was successfully uploaded by navigating into your `data` folder in the **Files** pane.
+:::
 :::
 
 Experienced R users who have never used Quarto (or RMarkdown) often struggle a bit in the transition to developing analysis in Prose+Code format --- which makes sense! It is switching the code paradigm to a new way of thinking.

materials/session_02.qmd

@@ -1,5 +1,5 @@
 ---
-title: "RStudio & git Setup"
+title: "RStudio & Git Setup"
 title-block-banner: true
 
 ---

materials/session_03.qmd

@@ -3,6 +3,5 @@ title: "Literate Analysis with Quarto"
 title-block-banner: true
 ---
 
-
 {{< include /sections/r-intro-quarto.qmd >}}