In hneth/i2ds: Introduction to Data Science

## Packages: ----- 

library(rmarkdown)
library(knitr)
# library(rmdformats)
# library(tidyverse)
# library(here)

# Own packages: 
library(unikn)
library(ds4psy)

## Housekeeping: -----

# here()
fileName <- "README.Rmd"

## Global options: ----- 

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

# URLs:

# (1) ds4psy: ------ 
url_ds4psy_book <- "https://bookdown.org/hneth/ds4psy/"
url_ds4psy_cran <- "https://CRAN.R-project.org/package=ds4psy"

# ds4psy course in Fall 2020:
# Data Science for Psychologists | PSY-15150 
# 02.11.2020 - 08.02.2021
# weekly on Mon 15:15 - 16:45
# Room R 513/online
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077327.html"  # ds4psy
url_ds4psy_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=181" 

# ds4psy course in Summer 2021:
# Data Science for Psychologists | PSY-15150 
# 12.04.2021 - 19.07.2021
# weekly on Mon 15:15 - 16:45 | online
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1173220.html"  # ds4psy
url_ds4psy_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=555"

# i2ds course in Fall 2020: 
# Introduction to Data Science 1: Foundations (using R, ADILT) | PSY-16620 
# 05.11.2020 - 11.02.2021
# weekly on Thu 13:30 - 15:00 | Room C 336/online 
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077339.html"
# url_i2ds_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=181" 

# ds4psy course in Summer 2022:
# Data Science for Psychologists | PSY-15150 
# 11.04.2022 - 18.07.2022 
# weekly on Mon 13:30 - 15:00 | D430 
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1391467"  # ds4psy ilias 
url_ds4psy_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=557&navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn"  # ds4psy ZEuS


# (2) i2ds: ------ 
url_i2ds_book  <- "https://bookdown.org/hneth/i2ds/"

# i2ds_2 course in Summer 2021: 
# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710 
# 15.04.2021 - 22.07.2024 
# weekly on Thu 15:15 - 16:45 | online 
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1179622.html"
# url_i2ds_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=555" 

# i2ds_2 course in Summer 2022: 
# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710 
# 11.04.2022 - 18.07.2022
# weekly on Mon 15:15 - 16:45 | D430  
url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1392107.html" # i2ds_2 ilias 
url_i2ds_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=557&navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn" # i2ds_2 ZEuS 

# i2ds_1 course in Fall 2023/2024:
# Introduction to Data Science 1: Basics (using R, ADILT) | PSY-16620  
# 23.10.2023 - 05.02.2024 
# weekly on Mon 13:30 - 15:00 (14 sessions) | D435
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1633875" # i2ds_1 ilias
# url_i2ds_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=791" # i2ds_1 ZEuS 

# i2ds_1 in Fall 2024/2025    | PSY-16620
# Di    13:30 - 15:00           | Room D430
url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1788982" # i2ds_1 ilias
url_i2ds_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=793" # i2ds_1 ZEuS 

# i2ds_2 in Fall 2024/2025   | PSY-16710
# Blockveranstaltung                  13:30-18:30    01.11.2024       | Room D247
# Blockveranstaltung + Sa und So    09:00-18:00  02.+03.11.2024 | Room F423

url_i2ds_2_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1788994"
url_i2ds_2_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=793"

# +++ here now +++: 2024 08 30


# (3) OTHER/OLDER URLs: ------ 

# ossd: ------ 

# SoSe 2023:
# Open Source Software Development in R (ADILT Applications) 
# PSY-18040 
# Tue:  13:30 - 15:00 | C426

url_ossd_ilias <- "https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1559797.html"
url_ossd_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=102164&periodId=790"

# SoSe 2020:
# url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_979923.html"
# url_ds4psy_zeus  <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=173"
# # Other:
url_ds4psy_rpository <- "http://rpository.com/ds4psy/"  # Syllabus

# ADILT: 
url_ADILT    <- "https://www.uni-konstanz.de/adilt/"
url_ADILT_en <- "https://www.uni-konstanz.de/en/adilt/"

# Other course-related variables:
ds_project_due  <- lubridate::ymd("2025-02-28")
frm_ds_deadline <- "%A, %B %e, %Y"
# format(ds_project_due, frm_ds_deadline)

Introduction to Data Science (i2ds)

The R package i2ds supports the course Introduction to Data Science (using R, ADILT) at the University of Konstanz.

Description

The i2ds package provides datasets and functions used in the examples and exercises of the book Introduction to Data Science (by Hansjoerg Neth, University of Konstanz, 2025), available at <r url_i2ds_book>. This book provides a gentle introduction to data science for students of any discipline with little or no background in data analysis or computer programming. Based on notions of representation, measurement, and modeling, we examine key data types (e.g., logicals, numbers, text) and learn to clean, summarize, transform, and visualize (rectangular) data.

Rather than promoting the latest technologies, we focus on the general goals and principles of data analysis. Reflecting on issues of design and asking why some tool is suited to tackle some task prevents us from getting stuck in niches and prepares us for a world in which many software frameworks can continue to evolve.

By reflecting on the relations between representations, tasks, and tools, the course promotes data literacy and cultivates reproducible research practices that precede and enable practical uses of programming or statistics.

Please note

This book is still being written and revised. It currently serves as a scaffold for a curriculum that is filled with content as we go along.

Current course

The latest course Introduction to Data Science (using R, ADILT) takes place at the University of Konstanz in\ 2024/2025. However, as all course materials are freely available online, anyone interested in this topic is welcome to read and learn from these materials.

Coordinates

Introduction to data science (ADILT, i2ds) (PSY-16620) at the University of Konstanz by Hansjörg Neth (h.neth@uni.kn, SPDS, office D507).

Fall/Winter 2024/2025: Mondays, 13:30--15:00, D430.
Course management systems:
Ilias
ZEuS

Course materials:
- Scripts at Introduction to Data Science (i2ds) (at <r url_i2ds_book>)
- Ebook Data Science for Psychologists (at <r url_ds4psy_book>)
- R package ds4psy (at <r url_ds4psy_cran>)

Readings

The current version of the textbook Introduction to Data Science is:

Neth, H. (forthcoming). i2ds: Introduction to Data Science.
Social Psychology and Decision Sciences, University of Konstanz, Germany.
Textbook (version 0.0.5, 2025).
Available at <r url_i2ds_book>.

Additionally, we will be using several chapters from the textbook [-@ds4psyBook]:

Neth, H. (2023). ds4psy: Data Science for Psychologists.
Social Psychology and Decision Sciences, University of Konstanz, Germany.
Textbook and R package (version 1.0.0, September 15, 2023).
Available at <r url_ds4psy_book>.

The URL of the supporting R package ds4psy [-@R-ds4psy] is <r url_ds4psy_cran>.

Chapters from the following textbooks [@mdsr; @JamesEtAl2021] are used for individual topics:

Baumer, B. S., Kaplan, D. T., & Horton, N. J. (2021).
Modern Data Science with R (2nd ed.).
CRC Press, Taylor & Francis Group, Boca Raton/London/New York.
Available at https://mdsr-book.github.io/mdsr2e/.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021).
An introduction to statistical learning (2nd edition). Springer, New York, NY.
Available at https://www.statlearning.com.