ecdata
is a minimal package for downloading Executive Communications
Dataset. It includes subsets of all the country data, the full dataset,
data dictionaries, and a sample script to help users expand the dataset.
For our full replication archive, see the relevant subdirectories in
our
GitHub.
For a Python implementation see
execcommunications-py.
To install ecdata
run.
pak::pkg_install('Executive-Communications-Dataset/ecdata')
(uv) pip install git+https://github.com/Executive-Communications-Dataset/ecdata-py
To see a list of countries in our dataset and the associated file name in the GitHub release, you can run:
library(ecdata)
ecd_country_dictionary |>
head()
country language
1 Argentina Spanish
2 Australia English
3 Austria English
4 Azerbaijan English
5 Bolivia Spanish
6 Brazil Portugese
import ecdata as ec
import polars as pl
ec.ecd_country_dictionary().head(int = 2)
We offer variety of options to load the ECD. You can specify single countries
load_ecd(country = 'United States of America') |>
head(n = 2)
✔ Successfully downloaded data for United States of America
country
1 United States of America
2 United States of America
url
1 https://www.presidency.ucsb.edu/documents/remarks-luncheon-for-the-us-olympic-medal-winners
2 https://www.presidency.ucsb.edu/documents/remarks-luncheon-for-the-us-olympic-medal-winners
text
1 About Search
2 I hope you are understanding people. I appreciate your patience and ask for your forgiveness. I would like to introduce to you a few of our distinguished guests today.
date title executive type language file isonumber gwc
1 1964-12-01 <NA> Lyndon B. Johnson Speech English <NA> 840 USA
2 1964-12-01 <NA> Lyndon B. Johnson Speech English <NA> 840 USA
cowcodes polity_v polity_iv vdem year_of_statement
1 USA USA USA 20 1964
2 USA USA USA 20 1964
ec.load_ecd(country = 'United States of America').head(int = 2)
You can specify multiple countries to load_ecd
like this
load_ecd(country = c('United States of America', 'Turkey', 'France')) |>
head(n = 3)
✔ Successfully downloaded data for United States of America, Turkey, and France
country
1 France
2 France
3 France
url
1 https://www.elysee.fr/emmanuel-macron/2020/01/06/conseil-des-ministres-du-6-janvier-2020
2 https://www.elysee.fr/emmanuel-macron/2020/01/06/conseil-des-ministres-du-6-janvier-2020
3 https://www.elysee.fr/emmanuel-macron/2020/01/06/conseil-des-ministres-du-6-janvier-2020
text date
1 6 janvier 2020 - Compte-rendu 2020-01-06
2 PROJETS DE LOI 2020-01-06
3 ORDONNANCE 2020-01-06
title executive type
1 Conseil des ministres du 6 janvier 2020 <NA> Council Of Ministers
2 Conseil des ministres du 6 janvier 2020 <NA> Council Of Ministers
3 Conseil des ministres du 6 janvier 2020 <NA> Council Of Ministers
language file isonumber gwc cowcodes polity_v polity_iv vdem
1 French <NA> 250 FRN FRN FRN FRN 76
2 French <NA> 250 FRN FRN FRN FRN 76
3 French <NA> 250 FRN FRN FRN FRN 76
year_of_statement
1 2020
2 2020
3 2020
ec.load_ecd(country = {'United States of America', 'Turkey', 'France'}).head(n = 2)
For the Python version you can feed load_ecd
a list or a dictionary.
We also provide a set of an example scrappers in part to quickly summarize our replication files and for other researchers to either collect more recent data or expand the cases in our dataset. To call these scrappers simply run:
# static website scrapper
example_scrapper(scrapper_type = 'static')
# dynamic website scrapper
example_scrapper(scrapper_type = 'dynamic')
If scrapper_type = 'static'
this will open a R script in your current
editor. If scrapper_type = 'dynamic'
this will open a Python script in
your editor.