This is the repository for the WAPOR 2023 Training Workshop 5 Assessment of Survey Data Quality.
The slidedeck is available at Zenodo (https://doi.org/10.5281/zenodo.10017882)
All participants are encouraged to clone the git repository (need help with git?) before the workshop starts and make sure they can run Jupyter Notebooks with R code on their laptops. The repository contains all slides and code in Jupyter Notebooks used during the workshop.
Important
The required data needs to be downloaded manually as you need to confirm the terms of use individually. Please go through the DataDownload Notebook before the worksop starts to get the data.
We use the following software stack:
Please consult the requirements for some guidelines on installing the required software stack. You can skip it, if you can run R in Jupyter Notebooks locally.
- DataDownload.ipynb - Preparing the data for the workshop (R Code in Jupyter Notebook)
- Weighting.ipynb - Design effect and weighting (R Code in Jupyter Notebook)
- ResponseStyle.ipynb - Response styles (R Code in Jupyter Notebook)
The first step is to clone this repository.
git clone https://github.com/alexseymer/WAPOR2023_W5_ASDQ.gitIf you don't want to use git, you can download the zipped git-repository.
Go to the directory and depending on your installation you can now run the Jupyter Lab from the console.
jupyter labA web browser window should pop-up and you can start working with Jupyter Lab.
We recommend to install the jupyterlab-mathjax2 right away as the notebooks contain math expressions, which might not render properly.
Note
In Windows you might be required to use the so called "Anaconda Prompt", if you decided to skip adding conda to your path environment.