Draft: Restructure slightly

introduction.qmd → 01-introduction.qmd

@@ -1,82 +1,43 @@
 ---
-title: "Introduction to Shiny"
-subtitle: "Session - Introduction"
+title: "Introduction"
 ---
 
-## Agenda - session one (about 2 hours)
+## Welcome
 
-Chapter overview
+- We'll have regular breaks
+- Material available at [github.com/nhs-r-community/shiny-beginners](https://github.com/nhs-r-community/shiny-beginners)
+- Ask questions
 
-::: {.fragment .fade-in}
-Introduction and getting started
-:::
-
-::: {.fragment .fade-in}
-What is Shiny?
-:::
-
-::: {.fragment .fade-in}
---------- Break -----------
-:::
-
-::: {.fragment .fade-in}
-What does it do?
-:::
-
-::: {.fragment .fade-in}
-Intro to reactivity
-:::
-
-::: {.fragment .fade-in}
-Application 1 - minimal (Your first application)\
-Application 2 - Sitrep (Situation Report)
-:::
-
-::: {.fragment .fade-in}
-Reactive expressions
-:::
+## What is Shiny?
 
-::: {.fragment .fade-in}
-(Optional)\
-NSE in Shiny applications\
-Bookmarks
-:::
+-   Shiny is a web application programming framework
+-   The language of the web (HTML, JavaScript, and CSS) all called from R
+-   It requires no knowledge of HTML, JavaScript, or CSS, but if you have that knowledge you can add more of these languages
 
-::: {.fragment .fade-in}
---------- Course end -----------
-:::
+## Examples of Shiny
 
-## Agenda - session two (about 2 hours)
+The [Shiny Gallery](https://shiny.posit.co/r/gallery/) which includes dashboards as well as parts (widgets) that can be added.
 
-Chapter overview
+And from healthcare:
 
-::: {.fragment .fade-in}
---------- Course end -----------
-:::
+[![](https://github.com/traffordDataLab/imd19/raw/master/screenshot.png){fig-alt="Screenshot of the Indices of Deprivation 2019 dashboard from Trafford Data lab"}](https://trafforddatalab.shinyapps.io/imd19)
 
-## Agenda - session three (about 2 hours)
+## Mental Health Surge Model app
 
-Chapter overview
+[![](img/mental_health_modelling.PNG){fig-alt="Screenshot of Mental Health Modelling app from The Strategy Unit used to estimate the impacts of COVID-19 on mental health services in England"}](https://strategyunit.shinyapps.io/MH_Surge_Modelling/)
 
-::: {.fragment .fade-in}
---------- Course end -----------
-:::
+## Patient Feedback text mining app
 
-## What is Shiny?
+[![](img/screenshot-pxtextmining.PNG){fig-alt="Screenshot of Patient Text Mining app from Nottinghamshire Healthcare NHS Foundation Trust (via funding from NHS England)"}](https://cdu-data-science-team.github.io/pxtextmining/)
 
-::: incremental
--   Shiny is a web application programming framework
--   The language of the web (HTML, JavaScript, and CSS) all called from R
--   It requires no knowledge of HTML, JavaScript, or CSS, but if you have that knowledge you can add more of these languages
-:::
 
-## Let's create a shiny app - on a computer
+## Create an example shiny app
 
 ::: incremental
 -   Go to `File > New Project... > New Directory`
 -   Select `Shiny Application`
 -   Browse to the location you want the new folder to go to
--   Name your new project!
+-   Name your new project
 :::
 
 . . .
@@ -142,41 +103,19 @@ Before closing the app look at the R Console:
 
 The workflow is:
 
-::: {.incremental}
 - Write code
 - Start app
 - Play with app
-- Write more code
 - Repeat
-- And in RStudio you don't need to stop and start just `Reload app`
-:::
 
+In RStudio you don't need to stop and start just `Reload app`
 
-## Examples of Shiny
-
-The [Shiny Gallery](https://shiny.posit.co/r/gallery/) which includes dashboards as well as parts (widgets) that can be added.
-
-And from healthcare:
+## Your turn 
 
-[![](https://github.com/traffordDataLab/imd19/raw/master/screenshot.png){fig-alt="Screenshot of the Indices of Deprivation 2019 dashboard from Trafford Data lab"}](https://trafforddatalab.shinyapps.io/imd19)
-
-## Mental Health Surge Model app
-
-[![](img/mental_health_modelling.PNG){fig-alt="Screenshot of Mental Health Modelling app from The Strategy Unit used to estimate the impacts of COVID-19 on mental health services in England"}](https://strategyunit.shinyapps.io/MH_Surge_Modelling/)
-
-## Patient Feedback text mining app
-
-[![](img/screenshot-pxtextmining.PNG){fig-alt="Screenshot of Patient Text Mining app from Nottinghamshire Healthcare NHS Foundation Trust (via funding from NHS England)"}](https://cdu-data-science-team.github.io/pxtextmining/)
-
-## The future of Shiny - is here!
-
-As RStudio renamed to Posit in 2022 to extend their language association beyond R, so they are also working on extending Shiny apps
-
-::: {.incremental}
-- To be compatible with the power of [Python](https://shiny.posit.co/py/)
-- To publish without a server using [Shinylive](https://jcheng5.github.io/posit-conf-2023-shinylive/#/title-slide)
-- An example is this [app](https://matt-dray.github.io/govspeakify-tables/) that converts a table to Govspeak Markdown, the format required for publishing reports by the UK's government from Matt Dray's [blog](https://www.rostrum.blog/posts/2023-10-08-govspeakify-tables/)
-:::
+- Use `File > New File > Shiny Web App...`
+- Drag the slider and see the histogram change
+- Change the colour of the histogram fill to "blue"
+- Change the title of the application
 
 ## End session
 
@@ -186,4 +125,4 @@ As RStudio renamed to Posit in 2022 to extend their language association beyond
 [Beginners course by Chris Beeley](https://github.com/ChrisBeeley/shiny_beginners/tree/main) aimed at relatively novice R users  
 [Shiny workshop for NHS-R Community](https://www.youtube.com/watch?v=wEYaeltxlys&list=PLXCrMzQaI6c1Na7BE18OsWtE1WKqrclNn&index=27)  
 [Shiny workshop materials](https://github.com/nhs-r-community/shiny-training) on the NHS-R Community GitHub.
-[Building Web Apps with R Shiny](https://debruine.github.io/shinyintro/first-app.html) from [PsyTeachR](https://psyteachr.github.io/)
+[Building Web Apps with R Shiny](https://debruine.github.io/shinyintro/first-app.html) from [PsyTeachR](https://psyteachr.github.io/)