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code (1)

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corpora (1)

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cross-references (1)

csv (1)

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custom-functions (1)

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data science (1)

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data-structures (1)

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datasets (2)

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Slides

The slide decks used in class are available here and are updated as the course progresses.

Contribute

“The reproducibility of studies and the ability to follow up on the work of others is key for innovation in science and engineering.”
—- Leland Wilkinson

communication

contribute

reporting

reproducible research

Infer

“People generally see what they look for, and hear what they listen for.”
— Harper Lee, To Kill a Mockingbird

analysis

inference

simulation

infer

Predict

“All models are wrong, but some are useful.”
— George E.P. Box

analysis

prediction

supervised-learning

machine-learning

text-analysis

tidymodels

Explore

“The data speaks for itself, but only if you are willing to listen.”
— Nate Silver”

analysis

frequency analysis

co-occurrence analysis

clustering

dimensionality reduction

word embeddings

Transformation

Prepare and enrich datasets

data

information

tidy-data

data-transformation

regular-expressions

datasets

stringr

purrr

tidyr

readr

fs

Taming data

The process of curating data

data

curate

process

data-dictionary

readr

dplyr

tidyr

readtext

qtalrkit

Curate

Data to information

data

information

tidy-data

data-curation

regular-expressions

datasets

stringr

purrr

tidyr

readr

fs

Harvesting research data

Acquiring research-aligned data

data

control-statements

custom-functions

downloads

api

Acquire

Source, acquisition, and documentation of data

acquire

download

api

data

web

functions

r

control-statements

csv

compressed-files

readr

fs

dplyr

tidyr

guenbergr

Project orientation

A guide to setup and provide an overview of the project prospectus

research

reproducible-research

quarto

git

github

project

prospectus

Scaffolding reproducible research

A template for reproducible research

research

reproducible-research

git

github

fork

clone

push

Research

Framing and scaffolding the research process

research

research-question

research-aim

research-statement

reproducible-research

Trace the datascape

Descriptive assessment of datasets

ggplot2

skimr

janitor

knitr

summarize()

group_by()

count()

tabyl()

kable()

geom_*()

Analysis

Approaching statistical thinking for text analysis.

central-tendency

dispersion

distribution

association

analysis

documentation

r

skimr

dplyr

ggplot2

Reading, inspecting, and writing datasets

First approach at combining Quarto and R

quarto

r

readr

dplyr

Data

Understanding data and information

sampling

corpora

tidy-data

data-structures

data-types

Academic writing with Quarto

Enabling more productive scholarly communication

quarto

front-matter

figures

tables

citations

tables-of-contents

cross-references

code

code-blocks

Text analysis in context

Where science, data, and linguistics meet.

data science

research

computer science

statistics

linguistics

Writing with code

An introduction to Literate Programming with R and Quarto

quarto

r

recipes

github

rstudio

Introductions

Course goals, the approach, and the resources

syllabus

resources

guides