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+<div class="quarto-post image-right" data-index="1" data-categories="Data Projects,Exploratory Data Analysis,Spotify,University Assignment" data-listing-date-sort="1697720400000" data-listing-file-modified-sort="1704372298742" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="13">
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@@ -219,7 +219,7 @@ <h1 class="title">Invasive Animal Species Dashboard</h1>
 
 </header><section id="brief-context" class="level1"><h1>Brief Context</h1>
 <p>This is a university assignment for the course <a href="https://programsandcourses.anu.edu.au/2022/course/BIOL3207">Data Science for Biology</a> at the Australian National University (ANU). The purpose of the assignment was to formulate a research question, use R and a relevant dataset to address the question and communicate the analysis into a report and a poster.</p>
-<p>I developed an <a href="https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/">RShiny Dashboard</a> visualising seven different invasive species by state/territory using ALA data through the <code>galah</code> package with a focus on spatial and temporal visualisations. The dashboard also allows users to download the cleaned dataset for the selected invasive animal species for a particular state/territory.</p>
+<p>I developed an <a href="https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/">RShiny Dashboard</a> visualising seven different invasive species by state/territory using ALA data through the <a href="https://github.com/AtlasOfLivingAustralia/galah-R"><code>galah</code> package</a> with a focus on spatial and temporal visualisations. The dashboard also allows users to download the cleaned dataset for the selected invasive animal species for a particular state/territory.</p>
 <p>The Dashboard is available <a href="https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/">here</a>.</p>
 <p>The GitHub repository is available <a href="https://github.com/johann-wagner/DS4B-final-project/tree/main">here</a>.</p>
 <p>Enjoy! :)</p>
diff --git a/posts_sub_page/posts/invasive_species_dashboard_report/index.qmd b/posts_sub_page/posts/invasive_species_dashboard_report/index.qmd
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 This is a university assignment for the course [Data Science for Biology](https://programsandcourses.anu.edu.au/2022/course/BIOL3207) at the Australian National University (ANU). The purpose of the assignment was to formulate a research question, use R and a relevant dataset to address the question and communicate the analysis into a report and a poster.
 
-I developed an [RShiny Dashboard](https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/) visualising seven different invasive species by state/territory using ALA data through the `galah` package with a focus on spatial and temporal visualisations. The dashboard also allows users to download the cleaned dataset for the selected invasive animal species for a particular state/territory.
+I developed an [RShiny Dashboard](https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/) visualising seven different invasive species by state/territory using ALA data through the [`galah` package](https://github.com/AtlasOfLivingAustralia/galah-R) with a focus on spatial and temporal visualisations. The dashboard also allows users to download the cleaned dataset for the selected invasive animal species for a particular state/territory.
 
 The Dashboard is available [here](https://0uexv8-johann-wagner.shinyapps.io/invasive_species_dashboard/).