UnhcrRverse

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.title[
# UnhcrRverse
]
.subtitle[
## Workshop on UNHCR R Packages
]

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## Intro

This workshop can not replace __fact-sheet-able certifications__ like the self-paced R training offered through [Workday](https://wd3.myworkday.com/unhcr/d/inst/24999$538/rel-task/3001$142.htmld). Rather than learning R _in general terms_, the sessions will provide an overview of how R is being used and customized within UNHCR context.

Each of the 12 sessions (_presentations & exercise_) is organised to last one hour around a __specific learning objective__.

Hands-on Co-Dev sessions between the training facilitator and the operation country team on __practical challenges__ will take place in the afternoon

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The session will focus on presenting dedicated packages created by UNHCR staff in HQ and in the field.

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## Workshop Plan

- Day 1 - Basics of R

- Day 2 - R for Surveys

- Day 3 - R for Reporting

- Day 4 - R for Processes

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## Day 1 Morning - Basics of R

- An introduction to [Analysis Reproducibility](01.Reproducibility)

- Data [Manipulation and Visualization](02.Tidyverse.html) using [{refugees}](https://populationstatistics.github.io/refugees/) & [{unchrthemes}](https://unhcr-dataviz.github.io/unhcrthemes/), access data through API with [{robotoolbox}](https://dickoa.gitlab.io/robotoolbox/), [{rhdx}](http://dickoa.gitlab.io/rhdx/), [{riddle}](https://edouard-legoupil.github.io/riddle/), [{popdata}](https://edouard-legoupil.github.io/popdata/), [{activityinfo-R}](https://www.activityinfo.org/support/docs/R/)
 
 - From [Scripts to Functions](03.Functions.html): An illustration with [{unhcrplot}](https://edouard-legoupil.github.io/unhcrdatapackage/)

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# Afternoon 1 - Hands-on

Using official Statistics to calculate indicators and build charts

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## Day 2  Morning - R for Surveys

[The Survey Toolbox](04.SurveyToolbox.html)

- Kobo [Data Collection Management](https://edouard-legoupil.github.io/HighFrequencyChecks/tutorial/index.html) with [{HighFrequencyChecks}](https://edouard-legoupil.github.io/HighFrequencyChecks/) 
 
 - Kobo [Survey Data Exploration](file:///home/edouard/R-projects/UNHCR_package/kobocruncher/docs/tutorial/00-Intro.html#1) with [{KoboCruncher}](05.KoboCruncher.html)
 
 - Apply [Indicator calculations for RMS](https://edouard-legoupil.github.io/IndicatorCalc/tutorial/index.html) with [{IndicatorCalc}](https://unhcr-americas.github.io/IndicatorCalc/)

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# Afternoon 2 - Hands-on

Working on UNHCR recent household survey dataset 
 
 
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## Day 3 Morning -  R for Reporting
 
 - "Work as a Team": Collaboration through [Version Control](07.VersionControl.html) on Github. 
 
 - Build wth [Report Template](08.Template_Report.html) with [{unhcrdown}](https://unhcr-dataviz.github.io/unhcrdown/) and [Posit Connect](http://rstudio.unhcr.org): An example with [weekly report](https://github.com/unhcr-americas/weekly-report) 
 
 - [Automating Tips](09.Automate_generation.html) https://github.com/vidonne/r-tips#tips to set up reproducible analysis pipeline

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# Afternoon 3 - Hands-on

Developing a presentation from a survey

Facilitating Data Interpretation

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## Day 4 Morning -  R for Processes 
 
 - [Package knowledege](10.Package_Knowledge.html): Development, Documentation & Testing with [{fusen}](https://thinkr-open.github.io/fusen), illustrated with [{unhcrdataportal/}](https://edouard-legoupil.github.io/unhcrdataportal/)
 
 - Create [Shiny Companion App](11.Simplify_with_companionApp.html) with [{Graveler}](https://edouard-legoupil.github.io/graveler/) 
 
 - Building [Severity index](https://rstudio.unhcr.org/SeverityIndex/): an overview of [{A2SIT}](https://rstudio.unhcr.org/SeverityIndex/)

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# Afternoon 4 - Hands-on

Quick Dashboard creation with Shiny

Organizing data for severity index

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# Webinar rules

Leverage this opportunity and make this session __lively__ - there's no stupid questions!

No need to take notes, all the session __content__ will be shared

All practical exercises are designed to get you __testing the commands__:

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> Login on a dedicated cloud-based version of RStudio with base packages pre-installed for this session @ 
    
> Paste the command from the chat to your online Rstudio session and check what is happening
    
> In case it is not working as expected, share screenshot or error messages from the console in the chat