Publishing Section

StatCan · Oct 13, 2023 · afc97dc · afc97dc
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diff --git a/docs/en/2-Publishing/Accessing-Published-Content.md b/docs/en/2-Publishing/Accessing-Published-Content.md
diff --git a/docs/en/2-Publishing/Custom.md b/docs/en/2-Publishing/Custom.md
@@ -9,9 +9,7 @@ container. For instance, Node.js apps, Flask or Dash apps. Etc.
 
 <!-- prettier-ignore -->
 !!! info "See the source code for this app"
-    We just push these kinds of applications through GitHub into the server. The
-    source for the above app is
-    [`StatCan/covid19`](https://github.com/StatCan/covid19)
+    We just push these kinds of applications through GitHub into the server.
 
 # Setup
 

diff --git a/docs/en/2-Publishing/Dash.md b/docs/en/2-Publishing/Dash.md
@@ -31,7 +31,7 @@ This is an example of a Layout With Figure and Slider from
 
 _Publish with Canadian-made software._
 
-**[Plotly Dash](/2-Publishing/Dash/)** is a popular Python library that allows you to create interactive web-based visualizations and dashboards with ease. Developed by the Montreal-based company Plotly, Dash has gained a reputation for being a powerful and flexible tool for building custom data science graphics. With Dash, you can create everything from simple line charts to complex, multi-page dashboards with interactive widgets and controls. Because it's built on open source technologies like Flask, React, and Plotly.js, Dash is highly customizable and can be easily integrated with other data science tools and workflows. Whether you're a data scientist, analyst, or developer, Dash can help you create engaging and informative visualizations that bring your data to life.
+**[Plotly Dash](../Dash/)** is a popular Python library that allows you to create interactive web-based visualizations and dashboards with ease. Developed by the Montreal-based company Plotly, Dash has gained a reputation for being a powerful and flexible tool for building custom data science graphics. With Dash, you can create everything from simple line charts to complex, multi-page dashboards with interactive widgets and controls. Because it's built on open source technologies like Flask, React, and Plotly.js, Dash is highly customizable and can be easily integrated with other data science tools and workflows. Whether you're a data scientist, analyst, or developer, Dash can help you create engaging and informative visualizations that bring your data to life.
 
 # Getting Started
 

diff --git a/docs/en/2-Publishing/Datasette.md b/docs/en/2-Publishing/Datasette.md
@@ -26,9 +26,10 @@ You can even explore maps within the tool!
 
 ![Run SQL Queries](../images/datasette-sql.png)
 
+<!-- Removing until video is approved
 # Video Tutorial
 
-[![Click here for the video](../images/KubeflowVideo.PNG)](https://youtu.be/OPVfBKouBT8?t=214 "Advanced Analytics Workspace Kubeflow collaboration demo + tips and tricks")
+[![Click here for the video](../images/KubeflowVideo.PNG)](https://youtu.be/OPVfBKouBT8?t=214 "Advanced Analytics Workspace Kubeflow collaboration demo + tips and tricks") -->
 
 # Getting Started
 

diff --git a/docs/en/2-Publishing/PowerBI.md b/docs/en/2-Publishing/PowerBI.md
@@ -13,7 +13,7 @@ our Storage system, and use the data as a `pandas` data frame.
 
 1. A computer with Power BI, and Python 3.6
 2. Your MinIO `ACCESS_KEY` and `SECRET_KEY` on hand. (See
-   [Storage](../index.md#storage))
+   [Storage](../../5-Storage/Overview))
 
 ## Set up Power BI
 

diff --git a/docs/en/2-Publishing/R-Shiny.md b/docs/en/2-Publishing/R-Shiny.md
@@ -12,7 +12,7 @@ R-Shiny is an R package that makes it easy to build interactive web apps in R.
 
 _Publish Professional Quality Graphics_
 
-[![InteractiveDashboard](../images/InteractiveDashboard.PNG)](/2-Publishing/R-Shiny/)
+[![InteractiveDashboard](../images/InteractiveDashboard.PNG)](../R-Shiny/)
 
 R Shiny is an open source web application framework that allows data scientists and analysts to create interactive, web-based dashboards and data visualizations using the R programming language. One of the main advantages of R Shiny is that it offers a straightforward way to create high-quality, interactive dashboards without the need for extensive web development expertise. With R Shiny, data scientists can leverage their R coding skills to create dynamic, data-driven web applications that can be shared easily with stakeholders.
 
@@ -109,7 +109,7 @@ If you need extra R libraries to be installed, send your list to [the R-Shiny re
 
 <!-- prettier-ignore -->
 !!! example "See the above dashboard here"
-    The above dashboard is in GitHub. Take a look at [the source](https://github.com/StatCan/R-dashboards/tree/master/bus-dashboard), and [see the dashboard live](https://shiny.covid.cloud.statcan.ca/bus-dashboard).
+    The above dashboard is in GitHub. Take a look at [the source](https://github.com/StatCan/R-dashboards/tree/master/bus-dashboard)).
 
 ## Once you've got the basics ...
 

diff --git a/docs/en/3-Pipelines/Argo.md b/docs/en/3-Pipelines/Argo.md
@@ -374,14 +374,6 @@ Couler provides a simple, unified application programming interface for defining
     # Run the workflow
     w.create()
     ```
-=== "YAML"
-    ``` py title="workflow.yaml" linenums="1"
-
-    ```
-=== "Seldon?"
-    ``` py
-
-    ```
 
 ### Additional Resources for Argo Workflows