Have you ever completed the development of a data product with the feeling that you may have done a mistake or not have used the optimal way to clean or process your data?
As an analyst, if using “point & click” interface, “rewinding” all the steps at an advanced stage of the development of your product can be extremely painful and lengthy. Errare humanum est sed perseverare... If you want to learn from your mistake rather than to suffer from them, then analysis reproducibility is what you need...
In this session, we will introduce you to the basics of analysis reproducibility and explain you what elements you need to watch for when you kick start your analysis so that you can always rewind and improve any products you have already spent time on. We will also show you how you can learn from analysis done in a reproducible way done by other colleagues.
We will also show you through practical examples how to implement a fully reproducible data analysis workflow applied to a Household Survey dataset using R statistical Language: from initial data exploration to joint interpretation till the creation of data stories.
Last, we hope that this session will motivate you to join the vibrant R users community in UNHCR and soon become an R champion. In order to make the most of the session, we would advise you to install the following open source environment:
R - https://cran.r-project.org/bin/windows/base/ Rstudio Free version: https://www.rstudio.com/products/rstudio/download/ Create an account on Github - https://github.com/join? and install Github desktop https://desktop.github.com/
You may also start installing UNHCR Packages – following the instruction in their respective documentation published on Github:
Use UNHCR Open data - https://unhcr.github.io/unhcrdatapackage/docs/ API to connect to internal data source - https://unhcr-web.github.io/hcrdata/docs/ Perform High Frequency Check https://unhcr.github.io/HighFrequencyChecks/docs/ Process data crunching for survey dataset - https://unhcr.github.io/koboloadeR/docs/ Use UNHCR graphical template- https://unhcr-web.github.io/unhcRstyle/docs/
Last, you may also take advantage of going through one or more of the R learning content on Learn & Connect: Achieve your potential: UNHCR (csod.com) and see some practical tutorial on https://humanitarian-user-group.github.io/
The best way to start and learn is to have a concrete project! If you have one and need mentoring, we can liaise after the session.
Keyboard shortcuts
↑, ←, Pg Up, k | Go to previous slide |
↓, →, Pg Dn, Space, j | Go to next slide |
Home | Go to first slide |
End | Go to last slide |
Number + Return | Go to specific slide |
b / m / f | Toggle blackout / mirrored / fullscreen mode |
c | Clone slideshow |
p | Toggle presenter mode |
t | Restart the presentation timer |
?, h | Toggle this help |
Esc | Back to slideshow |