add bcs70 and ncds sweep_folders.md

Author: ljwright

docs/bcs70-sweep_folders.md

@@ -0,0 +1,18 @@
+---
+layout: default
+title: "Creating a Simple Folder Structure"
+nav_order: 1
+parent: BCS70
+---
+
+This page introduces code for taking [BCS70 UKDS End User Licence](https://doi.org/10.5255/UKDA-Series-200001) zipped Stata (`.dta`) files, unzipping them and placing into per-sweep folders. The code is available on GitHub: [https://github.com/CLS-Data/make-directories-bcs70](https://github.com/CLS-Data/make-directories-bcs70).
+
+To use the code, first download or clone the GitHub directory. To download the directory, on the GitHub website, click `Code -> Download ZIP` (see screenshot below) then unzip the downloaded file and place in a suitable location on your computer. To clone the directory, open your computer's command line or terminal, navigate to an appropriate location (`cd ...`) and type `git clone https://github.com/CLS-Data/make-directories-bcs70`. You may want to rename the folder from `make-directories-bcs70` to `BCS70` or something similar.
+
+![Downloading the GitHub directory](../images/bcs70-sweep_folders_1.png)
+
+When the folder is downloaded, open the `README.md` file and follow the instructions. You will need to download `R` and `RStudio`, as well as the appropriate BCS70 Stata files off the UK Data Service. The `README.md` file lists the asset numbers of the files the code will work for.
+
+Once completed, the folder should look like the below. You will see the code also creates a data dictionary (in `.csv` and `R` [`.Rdata`] formats) which you can use to search for variables. 
+
+![Directory after code completed](../images/bcs70-sweep_folders_2.png)

docs/mcs-sweep_folders.md

@@ -3,14 +3,11 @@ layout: default
 title: "Creating a Simple Folder Structure"
 nav_order: 1
 parent: MCS
-format: docusaurus-md
 ---
 
-# Introduction {#introduction}
-
 This page introduces code for taking [MCS UKDS End User Licence](https://doi.org/10.5255/UKDA-Series-2000031) zipped Stata (`.dta`) files, unzipping them and placing into per-sweep folders. The code is available on GitHub: [https://github.com/CLS-Data/make-directories-mcs](https://github.com/CLS-Data/make-directories-mcs).
 
-To use the code, first download or clone the GitHub directory. To download the directory, on the GitHub website, click `Code -> Download Zip` (see screenshot below) then unzip the downloaded file and place in a suitable location on your computer. To clone the directory, open your computer's command line or terminal, navigate to an appropriate location (`cd ...`) and type `git clone https://github.com/CLS-Data/make-directories-mcs`. You may want to rename the folder from `make-directories-mcs` to `MCS` or something similar.
+To use the code, first download or clone the GitHub directory. To download the directory, on the GitHub website, click `Code -> Download ZIP` (see screenshot below) then unzip the downloaded file and place in a suitable location on your computer. To clone the directory, open your computer's command line or terminal, navigate to an appropriate location (`cd ...`) and type `git clone https://github.com/CLS-Data/make-directories-mcs`. You may want to rename the folder from `make-directories-mcs` to `MCS` or something similar.
 
 ![Downloading the GitHub directory](../images/mcs-sweep_folders_1.png)
 

docs/ncds-sweep_folders.md

@@ -0,0 +1,18 @@
+---
+layout: default
+title: "Creating a Simple Folder Structure"
+nav_order: 1
+parent: NCDS
+---
+
+This page introduces code for taking [NCDS UKDS End User Licence](https://doi.org/10.5255/UKDA-Series-2000032) zipped Stata (`.dta`) files, unzipping them and placing into per-sweep folders. The code is available on GitHub: [https://github.com/CLS-Data/make-directories-ncds](https://github.com/CLS-Data/make-directories-ncds).
+
+To use the code, first download or clone the GitHub directory. To download the directory, on the GitHub website, click `Code -> Download ZIP` (see screenshot below) then unzip the downloaded file and place in a suitable location on your computer. To clone the directory, open your computer's command line or terminal, navigate to an appropriate location (`cd ...`) and type `git clone https://github.com/CLS-Data/make-directories-ncds`. You may want to rename the folder from `make-directories-ncds` to `NCDS` or something similar.
+
+![Downloading the GitHub directory](../images/ncds-sweep_folders_1.png)
+
+When the folder is downloaded, open the `README.md` file and follow the instructions. You will need to download `R` and `RStudio`, as well as the appropriate NCDS Stata files off the UK Data Service. The `README.md` file lists the asset numbers of the files the code will work for.
+
+Once completed, the folder should look like the below. You will see the code also creates a data dictionary (in `.csv` and `R` [`.Rdata`] formats) which you can use to search for variables. 
+
+![Directory after code completed](../images/ncds-sweep_folders_2.png)