Interagency Hotshot Crew Retention

Shayne, Erin, Jude

To Do

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Project and directory structure

This section describes the directory structure of the project. The project is divided into two primary parts. Part 1 builds the dataset(s) to be used in the analysis phase. Part 2 contains scripts to run the analysis and generate output (tables and figures). Note that the dataset produced in Part 1 is written to the inputs directory in Part 2.

Part 1: Build

• inputs directory contains the raw data that should not be modified and overwritten
• cache directory stores copies of data during intermediate steps in the preprocessing\
• code directory contains all scripts to read in and preprocess the data

The code folder includes a make file (00-build.R) for the dataset build phase of the project.

Part 2: Analysis

• cache directory stores copies of data during intermediate analysis steps\
• code directory contains all scripts to read in and preprocess the data\
• output directory contains figures and tables generated from analysis scripts

The functions folder contains all functions specific to this analysis.
The report directory contains the write up of the project and may contain a link to a collaborative writing site.
The references folder contains bib files for the project.

Building the Project

The project root directory contains a file called project_init.R that initializes the project (installs/loads packages etc.). You should run this file each time you open R to begin working on the project.

Note that all file references within project are relative to the root directory of the project.

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Data

This section describes the data sources and provides information about data processing. I find it useful to describe these details during project development and refine them for the final write up.

Sources

This section contains a bulleted list of data sources from the project. If you pull intermediate data from another project, reference the project repo.

Data Processing

BLS Competing Wages

We use the May Occupational Employment and Wage Statistics from each year from the Bureau of Labor Statistics. Specifically, we download the all data XLS files from https://www.bls.gov/oes/tables.htm.