{"id":20065933,"url":"https://github.com/hneth/i2ds","last_synced_at":"2025-05-05T18:32:06.924Z","repository":{"id":38829178,"uuid":"300568800","full_name":"hneth/i2ds","owner":"hneth","description":"Introduction to data science (i2ds)","archived":false,"fork":false,"pushed_at":"2024-08-13T15:57:18.000Z","size":415,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-08-13T19:08:07.863Z","etag":null,"topics":["data-science","education","r","r-package"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hneth.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-10-02T09:43:19.000Z","updated_at":"2024-08-13T15:57:22.000Z","dependencies_parsed_at":"2023-12-29T09:29:29.054Z","dependency_job_id":"d3846dcc-e1ca-4741-b53a-acd36d5c0bbc","html_url":"https://github.com/hneth/i2ds","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hneth%2Fi2ds","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hneth%2Fi2ds/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hneth%2Fi2ds/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hneth%2Fi2ds/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hneth","download_url":"https://codeload.github.com/hneth/i2ds/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224461535,"owners_count":17315116,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","education","r","r-package"],"created_at":"2024-11-13T13:53:31.865Z","updated_at":"2025-05-05T18:32:06.914Z","avatar_url":"https://github.com/hneth.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\nbibliography: [./bib/ref.bib, ./bib/refpkg+.bib]\nbiblio-style: apalike\ncsl: ./csl/apa.csl\nlink-citations: yes\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit the .Rmd file. --\u003e\n\n```{r preamble, include = FALSE}\n## Packages: ----- \n\nlibrary(rmarkdown)\nlibrary(knitr)\n# library(rmdformats)\n# library(tidyverse)\n# library(here)\n\n# Own packages: \nlibrary(unikn)\nlibrary(ds4psy)\n\n## Housekeeping: -----\n\n# here()\nfileName \u003c- \"README.Rmd\"\n\n## Global options: ----- \n\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\"\n)\n```\n\n```{r define-URLs-i2ds-220408, echo = FALSE, eval = TRUE}\n# URLs:\n\n# (1) ds4psy: ------ \nurl_ds4psy_book \u003c- \"https://bookdown.org/hneth/ds4psy/\"\nurl_ds4psy_cran \u003c- \"https://CRAN.R-project.org/package=ds4psy\"\n\n# ds4psy course in Fall 2020:\n# Data Science for Psychologists | PSY-15150 \n# 02.11.2020 - 08.02.2021\n# weekly on Mon\t15:15 - 16:45\n# Room R 513/online\nurl_ds4psy_ilias \u003c- \"https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077327.html\"  # ds4psy\nurl_ds4psy_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=5101\u0026periodId=181\" \n\n# ds4psy course in Summer 2021:\n# Data Science for Psychologists | PSY-15150 \n# 12.04.2021 - 19.07.2021\n# weekly on Mon\t15:15 - 16:45 | online\nurl_ds4psy_ilias \u003c- \"https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1173220.html\"  # ds4psy\nurl_ds4psy_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=5101\u0026periodId=555\"\n\n# i2ds course in Fall 2020: \n# Introduction to Data Science 1: Foundations (using R, ADILT) | PSY-16620 \n# 05.11.2020 - 11.02.2021\n# weekly on Thu\t13:30 - 15:00 | Room C 336/online \n# url_i2ds_ilias \u003c- \"https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077339.html\"\n# url_i2ds_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=86706\u0026periodId=181\" \n\n# ds4psy course in Summer 2022:\n# Data Science for Psychologists | PSY-15150 \n# 11.04.2022 - 18.07.2022 \n# weekly on Mon\t13:30 - 15:00 | D430 \nurl_ds4psy_ilias \u003c- \"https://ilias.uni-konstanz.de/goto.php?target=crs_1391467\"  # ds4psy ilias \nurl_ds4psy_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=5101\u0026periodId=557\u0026navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn\"  # ds4psy ZEuS\n\n\n# (2) i2ds: ------ \nurl_i2ds_book  \u003c- \"https://bookdown.org/hneth/i2ds/\"\n\n# i2ds_2 course in Summer 2021: \n# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710 \n# 15.04.2021 - 22.07.2024 \n# weekly on Thu\t15:15 - 16:45 | online \n# url_i2ds_ilias \u003c- \"https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1179622.html\"\n# url_i2ds_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=93121\u0026periodId=555\" \n\n# i2ds_2 course in Summer 2022: \n# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710 \n# 11.04.2022 - 18.07.2022\n# weekly on Mon\t15:15 - 16:45 | D430  \nurl_i2ds_ilias \u003c- \"https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1392107.html\" # i2ds_2 ilias \nurl_i2ds_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=93121\u0026periodId=557\u0026navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn\" # i2ds_2 ZEuS \n\n# i2ds_1 course in Fall 2023/2024:\n# Introduction to Data Science 1: Basics (using R, ADILT) | PSY-16620  \n# 23.10.2023 - 05.02.2024 \n# weekly on Mon\t13:30 - 15:00 (14 sessions) | D435\n# url_i2ds_ilias \u003c- \"https://ilias.uni-konstanz.de/goto.php?target=crs_1633875\" # i2ds_1 ilias\n# url_i2ds_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=86706\u0026periodId=791\" # i2ds_1 ZEuS \n\n# i2ds_1 in Fall 2024/2025    | PSY-16620\n# Di\t13:30 - 15:00           | Room D430\nurl_i2ds_ilias \u003c- \"https://ilias.uni-konstanz.de/goto.php?target=crs_1788982\" # i2ds_1 ilias\nurl_i2ds_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=86706\u0026periodId=793\" # i2ds_1 ZEuS \n\n# i2ds_2 in Fall 2024/2025   | PSY-16710\n# Blockveranstaltung\t\t          13:30-18:30\t 01.11.2024\t\t  | Room D247\n# Blockveranstaltung + Sa und So\t09:00-18:00\t 02.+03.11.2024\t| Room F423\n\nurl_i2ds_2_ilias \u003c- \"https://ilias.uni-konstanz.de/goto.php?target=crs_1788994\"\nurl_i2ds_2_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=93121\u0026periodId=793\"\n\n# +++ here now +++: 2024 08 30\n\n\n# (3) OTHER/OLDER URLs: ------ \n\n# ossd: ------ \n\n# SoSe 2023:\n# Open Source Software Development in R (ADILT Applications) \n# PSY-18040 \n# Tue:\t13:30 - 15:00 | C426\n\nurl_ossd_ilias \u003c- \"https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1559797.html\"\nurl_ossd_zeus \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=102164\u0026periodId=790\"\n\n# SoSe 2020:\n# url_ds4psy_ilias \u003c- \"https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_979923.html\"\n# url_ds4psy_zeus  \u003c- \"https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow\u0026unitId=5101\u0026periodId=173\"\n# # Other:\nurl_ds4psy_rpository \u003c- \"http://rpository.com/ds4psy/\"  # Syllabus\n\n# ADILT: \nurl_ADILT    \u003c- \"https://www.uni-konstanz.de/adilt/\"\nurl_ADILT_en \u003c- \"https://www.uni-konstanz.de/en/adilt/\"\n\n# Other course-related variables:\nds_project_due  \u003c- lubridate::ymd(\"2025-02-28\")\nfrm_ds_deadline \u003c- \"%A, %B %e, %Y\"\n# format(ds_project_due, frm_ds_deadline)\n```\n\n\u003c!-- badges: start: --\u003e\n\u003c!-- badges: end. --\u003e\n\n\u003c!-- i2ds logo: --\u003e  \n\u003c!-- ![](i2ds_logo_1.png) --\u003e \n\u003ca href=\"https://www.spds.uni-konstanz.de/\"\u003e\n\u003cimg src = \"./inst/images/i2ds_logo_1.png\" alt = \"i2ds\" align = \"right\" width = \"150\" style = \"width: 150px; float: right; border:15;\"/\u003e\n\u003c/a\u003e\n\n# Introduction to Data Science (i2ds) \n\nThe R package **i2ds** supports the course **Introduction to Data Science (using R, ADILT)** at the [University of Konstanz](https://www.uni-konstanz.de/en/). \n\n## Description \n\nThe **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, 2025), available at \u003c`r url_i2ds_book`\u003e. \n\u003c!-- Contents: --\u003e\nThis 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. \n\nRather than promoting the latest technologies, we focus on the general goals and principles of data analysis. \nReflecting 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. \n\nBy 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. \n\n\n\u003c!-- Under construction note:  --\u003e\n\n### Please note \n\nThis book is still being written and revised. \nIt currently serves as a scaffold for a curriculum that is filled with content as we go along. \n\n\n## Current course\n\nThe latest course **Introduction to Data Science (using R, ADILT)** takes place at the [University of Konstanz](https://www.uni-konstanz.de/en/) in\\ 2024/2025. \nHowever, as all course materials are freely available online, anyone interested in this topic is welcome to read and learn from these materials. \n\n\n### Coordinates\n\n\u003c!-- uni.kn logo and link: --\u003e  \n\u003c!-- ![](./images/uniKn_logo.png) --\u003e \n\u003ca href = \"https://www.uni-konstanz.de/en/\"\u003e\n\u003cimg src = \"./inst/images/uniKn_logo.png\" alt = \"uni.kn\" align = \"right\" width = \"300px\" style = \"width: 300px; float: right; border: 20px;\"/\u003e\n\u003c!-- \u003cimg src = \"./images/uniKn_logo_s.png\" alt = \"uni.kn\" style = \"float: right; border:20;\"/\u003e --\u003e \n\u003c/a\u003e\n\n\u003c!-- Latest course: Fall/Winter 2024/2025: --\u003e\n\n**Introduction to data science (ADILT, i2ds)** (PSY-16620) \nat the [University of Konstanz](https://www.uni-konstanz.de/en/) \nby [Hansjörg Neth](https://neth.de) (\u003ch.neth@uni.kn\u003e, [SPDS](https://spds.uni-konstanz.de/), office D507). \n\n* Fall/Winter 2024/2025: Mondays, 13:30--15:00, D430.\n\n* Course management systems: \n\n   - [Ilias](`r url_i2ds_ilias`)\n   - [ZEuS](`r url_i2ds_zeus`)\n\n\u003c!-- Materials: --\u003e \n\n* Course materials:  \n\n    - Scripts at [Introduction to Data Science (i2ds)](https://bookdown.org/hneth/i2ds/) (at \u003c`r url_i2ds_book`\u003e) \n    - Ebook [Data Science for Psychologists](https://bookdown.org/hneth/ds4psy/) (at \u003c`r url_ds4psy_book`\u003e) \n    - R package [ds4psy](https://CRAN.R-project.org/package=ds4psy) (at \u003c`r url_ds4psy_cran`\u003e) \n\n\n\u003c!-- References / Readings: --\u003e \n\n## Readings \n\nThe current version of the textbook [Introduction to Data Science](`r url_i2ds_book`) is:\n\n- Neth, H. (forthcoming). i2ds: _Introduction to Data Science_.  \nSocial Psychology and Decision Sciences, University of Konstanz, Germany.  \nTextbook (version 0.0.5, 2025).  \nAvailable at \u003c`r url_i2ds_book`\u003e. \n\nAdditionally, we will be using several chapters from the textbook [-@ds4psyBook]: \n\n- Neth, H. (2023). ds4psy: _Data Science for Psychologists_.  \nSocial Psychology and Decision Sciences, University of Konstanz, Germany.  \nTextbook and R package (version 1.0.0, September 15, 2023).  \nAvailable at \u003c`r url_ds4psy_book`\u003e.  \n\nThe URL of the supporting R package **ds4psy** [-@R-ds4psy] is \u003c`r url_ds4psy_cran`\u003e. \n\n\u003c!-- Other books and chapters: --\u003e \n\nChapters from the following textbooks [@mdsr; @JamesEtAl2021] are used for individual topics:  \n\n- Baumer, B. S., Kaplan, D. T., \u0026 Horton, N. J. (2021).  \n_Modern Data Science with R_ (2nd ed.).  \nCRC Press, Taylor \u0026 Francis Group, Boca Raton/London/New York.   \nAvailable at \u003chttps://mdsr-book.github.io/mdsr2e/\u003e.  \n\n- James, G., Witten, D., Hastie, T., \u0026 Tibshirani, R. (2021).  \n_An introduction to statistical learning_ (2nd edition). \nSpringer, New York, NY.   \nAvailable at \u003chttps://www.statlearning.com\u003e.  \n\n\u003c!-- Add blank line. --\u003e \n\n\nAdditional details or readings may be announced if they are needed for individual sessions.\n \n\n\n## License\n\n\u003c!-- (a) Use online image: --\u003e\n\n\u003ca rel=\"license\" href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png\" /\u003e\u003c/a\u003e\n\n\u003c!-- (b) Use local image: --\u003e\n\n\u003c!-- \u003ca rel=\"license\" href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src = \"./images/CC_BY_NC_SA.png\" /\u003e\u003c/a\u003e --\u003e\n\n\n\n\u003c!-- License text:  --\u003e\n\n\u003cspan xmlns:dct=\"http://purl.org/dc/terms/\" property=\"dct:title\"\u003e**Introduction to Data Science** (**i2ds**)\u003c/span\u003e by \u003ca xmlns:cc=\"http://creativecommons.org/ns#\" href=\"https://neth.de\" property=\"cc:attributionName\" rel=\"cc:attributionURL\"\u003eHansjörg Neth\u003c/a\u003e is licensed under a \u003ca rel=\"license\" href=\"https://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003eCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International License\u003c/a\u003e. \n\n\n\u003c!-- i2ds logo: --\u003e  \n\u003c!-- ![](i2ds_logo_2.png) --\u003e \n\u003ca href=\"https://www.spds.uni-konstanz.de/\"\u003e\n\u003cimg src = \"./inst/images/i2ds_logo_2.png\" alt = \"i2ds (square)\" align = \"right\" width = \"150\" style = \"width: 150px; float: right; border:15;\"/\u003e\n\u003c/a\u003e\n\n\n## Contact\n\nPlease ask any question that may also be of interest to other course members in the **Discussion Forum** on [Ilias](`r url_i2ds_ilias`).  \n\nFor all other questions, contact Hansjörg Neth (h dot neth at uni dot kn). \n\n\n\u003c!-- Footer: --\u003e\n\n----- \n\n\u003c!-- Update: --\u003e\n\n[File `README.md` updated `r format(Sys.time(), \"%Y-%m-%d\")` by [hn](https://neth.de).]  \n\n\n\u003c!-- Automatic references: --\u003e\n\n# References\n\n\u003c!-- eof. --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhneth%2Fi2ds","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhneth%2Fi2ds","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhneth%2Fi2ds/lists"}