This is the story of how a Stata user learned to love R.
Give a short, 1-2 paragraph description of your project. Focus on the code, not the theoretical / substantive side of things.
List what software your code depends on, as well as version numbers, like so:.
- R, 3.6.1
In your scripts, includes commands that require() packages.
List all files (other than README.md and Final-Project.RProj) contained in the repo, along with a brief description of each one, like so:
- Narrative.Rmd: Provides a 3-5 page narrative of the project, main challenges, solutions, and results.
- Narrative.pdf: A knitted pdf of 00_Narrative.Rmd.
- Slides.XXX: Your lightning talk slides, in whatever format you prefer.
- 01_collect-nyt.R: Collects data from New York Times API and exports data to the file nyt.csv
- 02_merge-data.R: Loads, cleans, and merges the raw Polity and NYT datasets into the Analysis Dataset.
- 03_analysis.R: Conducts descriptive analysis of the data, producing the tables and visualizations found in the Results directory.
- polity.csv: The PolityVI dataset, available here: http://www.systemicpeace.org/inscrdata.html
- nyt.csv: Contains data from the New York Times API collected via collect-nyt.ipynb . Includes information on all articles containing the term "Programmer Cat", 1980-2010.
- analysis-dataset.csv: The final Analysis Dataset derived from the raw data above. It includes country-year values for all UN countries 1980-2010, with observations for the following variables:
- ccode: Correlates of War numeric code for country observation
- year: Year of observation
- polity: PolityVI score
- nyt: Number of New York Times articles about "Programmer Cat"
- coverage-over-time.jpeg: Graphs the number of articles about each region over time.
- regression-table.txt: Summarizes the results of OLS regression, modelling nyt on a number of covariates.
Include any other details you think your user might need to reproduce your results. You may also include other information such as your contact information, credits, etc.