Publications by Sebastien Parker
Tutorial 3 Exercise Solutions
European Social Survey (ESS) Data Visualization Practice Exercises Initial set-up library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 ...
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Tutorial 2 Exercise Solutions
# Load required packages packages <- c("tidyverse", "srvyr", "srvyrexploR", "broom", "gt") # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packages lapply(packages, library, character.only = TRUE) ## [...
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Third Tutorial
Part 1: Foundations of Data Visualization Setting Up Our Environment # List of packages packages <- c("tidyverse", "datasauRus", "fst", "ggridges", "patchwork") # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # ...
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Week 2. Session 2.
Setting up environment # List of packages packages <- c("tidyverse", "srvyr", "srvyrexploR", "broom","gt", "modelsummary", "gapminder") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Lo...
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2.1. Practice Exercise Solutions
Practice Exercises (to leverage for weekly diary!) Here are 5 exercises to help you practice what we covered today. These build on each other and follow the same order as our tutorial. Exercise 1: Basic Objects Practice creating and printing objects: Create an object called ‘x’ and store the number 42 in it Create an object called ‘y’ and...
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Week 2. Session 2.
Setting up environment # List of packages packages <- c("tidyverse", "srvyr", "srvyrexploR", "broom","gt", "modelsummary") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packag...
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Week 2. Session 1.
Setting Up Our Environment Installing and Loading R Packages In R, we distinguish between installing and loading packages: Installing is like downloading an app (which only needs to be done once) For today’s session, we’ll focus on two essential packages: # Only run these once to install the packages install.packages("tidyverse") # Core data ...
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Replication Example 3
In this third example, we will replicate: “Intergenerational Social Mobility Among the Children of Immigrants in Western Europe: Between Socioeconomic Assimilation and Disadvantage” by Mauricio Bucca & Lucas Drouhot. Full replication files here: https://osf.io/4tjfq/?view_only=2894f243dc524ba8b129153e150715e3 Note: their files implement the pac...
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Replication Example 1
Introduction This tutorial walks through replicating key parts of Barum Park’s paper “Was There a Culture War? Partisan Polarization and Secular Trends in U.S. Public Opinion” using GSS data from 1972-2022. Note 1: We are using the full current GSS dataset until 2022. The paper is based on data until 2012. So we are replicating as well as upd...
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Replication Example 2
This is a direct replication of the files provided by: Lea Elsässer, Svenja Hense, Armin Schäfer on their GitHub page. In this file, we reproduce the analyses for the article Not just money: Unequal responsiveness in egalitarian democracies published with the Journal or European Public Policy. The article is based on an original dataset—“Resp...
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