This Shiny application allows you to explore patterns in the use of keywords in journal articles about archaeological research. Currently you can explore the titles of about 18,000 articles.
There are three ways to run/install this app.
First, you can run it on the web at https://benmarwick.shinyapps.io/scopusarchaeology/. This is easy, free, and doesn't require you to download and install anything. It's also quite slow and a bit flaky. The second and third options for running the app locally give much better performance, but require a few downloads and a tiny bit more effort.
Second, you can run it on your computer. You'll need to install R and RStudio. At the R prompt, run these lines:
if (!require("shiny")) install.packages("shiny") # checks to see if you have the shiny package, if not, it will be downloaded and installed
shiny::runGitHub("scopusarchaeology", "benmarwick")
Third, you can clone this repo to have the code on your computer, and run the app from there. This assumes you have git, in addition to R and RStudio: you clone the repository from GitHub, open the .Rproj file in RStudio, then run this line at the R prompt:
shiny::runApp() # runs the app
This app depends on several R packages (ggplot2, DT, dplyr, etc.). The app will check to see if you have them installed, and if you don't, it will try to download and install them for you.
Run the app, and wait for it to appear in your webrowser, type in your keyword (one at a time), and wait for the plots to update. It may take a few seconds for the plots to update, please be patient. It will probably be much faster if you run the app locally on your computer. If it's working correctly it should look like this:
Please open an issue if you find something that doesn't work as expected. Note that this project is released with a Guide to Contributing and a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Text: CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/
Code: MIT http://opensource.org/licenses/MIT year: 2017, copyright holder: Ben Marwick
Data: This is a non-commercial, academic use of Elsevier data, as permitted by their policy.