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README.Rmd
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README.Rmd
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---
bibliography: [./bib/ref.bib, ./bib/refpkg+.bib]
biblio-style: apalike
csl: ./csl/apa.csl
link-citations: yes
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit the .Rmd file. -->
```{r preamble, include = FALSE}
## 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 = "#>"
)
```
```{r define-URLs-i2ds-220408, echo = FALSE, eval = TRUE}
# 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: +++ here now +++
# 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
# (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("2024-02-28")
frm_ds_deadline <- "%A, %B %e, %Y"
# format(ds_project_due, frm_ds_deadline)
```
<!-- badges: start: -->
<!-- badges: end. -->
<!-- i2ds logo: -->
<!--  -->
<a href="https://www.spds.uni-konstanz.de/">
<img src = "./inst/images/i2ds_logo_1.png" alt = "i2ds" align = "right" width = "150" style = "width: 150px; float: right; border:15;"/>
</a>
# Introduction to Data Science (i2ds)
The R package **i2ds** supports the course **Introduction to Data Science (using R, ADILT)** at the [University of Konstanz](https://www.uni-konstanz.de/en/).
<!-- From package description: -->
The **i2ds** package provides datasets and functions used in the examples and exercises of the book [Introduction to Data Science](`r url_i2ds_book`) (by Hansjoerg Neth, University of Konstanz, 2023), available at <`r url_i2ds_book`>.
The book and course provide a gentle introduction into the principles and methods of data science to students of psychology and other natural or social sciences.
The R package **i2ds** primarily provides datasets, but also functions for data generation and manipulation that are used in the book's examples and exercises.
All functions included in **i2ds** are designed to be explicit and instructive, rather than efficient or elegant.
The textbook [Introduction to Data Science](`r url_i2ds_book`) is available at <`r url_i2ds_book`>.
## Description
<!-- Abstract: [2020-09-17] -->
<!-- Contents: -->
This course 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. 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.
<!-- Tools/technology: -->
The course uses the technologies provided by [R](https://www.r-project.org/) [@R-base], [RStudio](https://rstudio.com/), [RMarkdown](https://rmarkdown.rstudio.com/), including key packages of the [tidyverse](https://www.tidyverse.org/) [@tidyverse] (e.g., **dplyr**, **ggplot2**, **tibble**, and **tidyr**).
## Coordinates
<!-- uni.kn logo and link: -->
<!--  -->
<a href = "https://www.uni-konstanz.de/en/">
<img src = "./inst/images/uniKn_logo.png" alt = "uni.kn" align = "right" width = "300px" style = "width: 300px; float: right; border: 20px;"/>
<!-- <img src = "./inst/images/uniKn_logo_s.png" alt = "uni.kn" style = "float: right; border:20;"/> -->
</a>
<!-- Autumn/winter 2023: -->
* **Introduction to data science: Basics (using R, ADILT)** (PSY-16620)
at the [University of Konstanz](https://www.uni-konstanz.de/en/)
by [Hansjörg Neth](https://neth.de/) (<h.neth@uni.kn>, [SPDS](https://www.spds.uni-konstanz.de/), office D507).
* Autumn/Winter 2023: Mondays, 13:30--15:00, D435.
* Course materials:
- Ebook [Introduction to Data Science](`r url_i2ds_book`) (at <`r url_i2ds_book`>)
- Ebook [Data Science for Psychologists](`r url_ds4psy_book`) (at <`r url_ds4psy_book`>)
- R package [ds4psy](`r url_ds4psy_cran`) (at <`r url_ds4psy_cran`>)
* Online platforms (at [uni.kn](https://www.uni-konstanz.de/en/)):
- [ZEuS](`r url_i2ds_zeus`) registration system
- [Ilias](`r url_i2ds_ilias`) course management system
<!-- Add blank line. -->
## Contents
The syllabus for the course **Introduction to Data Science (using R, ADILT)** at the [University of Konstanz](https://www.uni-konstanz.de/en/) in **Spring/Summer\ 2023** is currently under development.
- An initial syllabus for [Introduction to Data Science](`r url_i2ds_book`) is available at <`r url_i2ds_book`>.
- The organizational details for this course are available on the [ZEuS](`r url_i2ds_zeus`) and [Ilias](`r url_i2ds_ilias`) web platforms.
- The textbook [Data Science for Psychologists](`r url_ds4psy_book`) is available at <`r url_ds4psy_book`>.
- Information on the [Advanced Data and Information Literacy Track (ADILT)](`r url_ADILT`) ([en](`r url_ADILT_en`)).
<!-- Add blank line. -->
## Readings
The main sript for this course is yet to be written.
A textbook fragment [Introduction to Data Science](`r url_i2ds_book`) is:
- Neth, H. (forthcoming). i2ds: Introduction to Data Science.
Social Psychology and Decision Sciences, University of Konstanz, Germany.
Textbook (version 0.0.1, planned for\ 2023).
Available at <`r url_i2ds_book`>.
In the meantime, 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`>.
<!-- Other books and chapters: -->
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>.
<!-- Add blank line. -->
Additional details or readings may be announced if they are needed for individual sessions.
## License
<!-- (a) Use online image: -->
<a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a>
<!-- (b) Use local image: -->
<!-- <a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src = "./images/CC_BY_NC_SA.png" /></a> -->
<!-- License text: -->
<span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">**Introduction to Data Science** (**i2ds**)</span> by <a xmlns:cc="http://creativecommons.org/ns#" href="https://neth.de" property="cc:attributionName" rel="cc:attributionURL">Hansjörg Neth</a> is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
<!-- i2ds logo: -->
<!--  -->
<a href="https://www.spds.uni-konstanz.de/">
<img src = "./inst/images/i2ds_logo_2.png" alt = "i2ds (square)" align = "right" width = "150" style = "width: 150px; float: right; border:15;"/>
</a>
## Contact
Please ask any question that may also be of interest to other course members in the **Discussion Forum** on [Ilias](`r url_i2ds_ilias`).
For all other questions, contact Hansjörg Neth (h dot neth at uni dot kn).
<!-- Footer: -->
-----
<!-- Update: -->
[File `README.md` updated `r format(Sys.time(), "%Y-%m-%d")` by [hn](https://neth.de).]
<!-- Automatic references: -->
# References
<!-- eof. -->