Publications by Kees Schipper
Vizathon 2021 Data Visualizations in R
Preamble: Setting up our data and libraries knitr::opts_chunk$set(warning = FALSE) ## Vizathon2021_Rvisualizations.R ## ## Written by: Kees Schipper ## ## Created: 2021-01-03 ## ## Last Edited: 2021-01-03 ## ## Data visualizations in R ## ## Table of contents # 1) Preamble: setting up our data and libraries...plus some useful functions ...
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TNDS2021_Comparison_Across_Languages
1 Libraries and Working Directories knitr::opts_chunk$set( echo = TRUE, message = FALSE, warnings = FALSE, tidy.opts=list(width.cutoff=80), tidy=TRUE ) setwd("C:/Users/keess/Box/TNDS Workshop/R") library(tidyverse) library(readxl) library(haven) library(plotrix) library(expss) library(moments) 2 Read in data # ...
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Intro to ggplot for EDA--Data Visualization and Communication
Notes: The purpose of this script is to introduce the ggplot package. This introduction will go through creating the base ggplot, attaching data to your plot, setting aesthetics, working with basic color schemes and palettes, facetting, facet grids, plotting multiple variables, and the geometries for line plots, smoothers, scatterplots, boxplots,...
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Model Building and Management with R
Getting our data df <- gapminder %>% mutate(gdp1000 = gdpPercap/1000, pop100k = pop/100000) head(df) ## # A tibble: 6 x 8 ## country continent year lifeExp pop gdpPercap gdp1000 pop100k ## <fct> <fct> <int> <dbl> <int> <dbl> <dbl> <dbl> ## 1 Afghanistan Asia 1952 28.8 8425333 77...
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Data Days Model Building, Visualization, and Management
Getting our data df <- gapminder %>% mutate(gdp1000 = gdpPercap/1000, pop100k = pop/100000) head(df) ## # A tibble: 6 x 8 ## country continent year lifeExp pop gdpPercap gdp1000 pop100k ## <fct> <fct> <int> <dbl> <int> <dbl> <dbl> <dbl> ## 1 Afghanistan Asia 1952 28.8 8425333 77...
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Data Days Rmarkdown Session
What is Rmarkdown? Rmarkdown is an way to integrate R data cleaning, modelling, analysis, and data visualizations into a well-formatted, easy to read output. Rmarkdown can handle multiple output formats such as pdf, word, and html documents, slideshows, or even web apps with Shiny. We’ll go over some of the simple syntax first, and then we’ll...
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Basic R for data science
1 Introduction: This markdown is meant to be a quick introduction to get students up to speed with basic R concepts. Many of the concepts covered here were pulled from some of the operations I use in everyday programming. My hope is that this script will be a quick (but not necessarily comprehensive) introduction to get students up to speed with ...
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