data-analysis-with-r
Material for seminar: Data literacy
Science Score: 44.0%
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Low similarity (7.2%) to scientific vocabulary
Repository
Material for seminar: Data literacy
Basic Info
- Host: GitHub
- Owner: nika-akin
- License: mit
- Language: HTML
- Default Branch: main
- Size: 87.1 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 3
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
"Data Literacy: Introduction to R"
Veronika Batzdorfer veronika.batzdorfer@kit.edu
Course description
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.
Learning objectives
By the end of the course participants should be:
- Comfortable with using
Rand RStudio - Able to import, wrangle, and explore their data with
R - Able to conduct basic visualizations and analyses of their data with
R - Able to generate reproducible research reports using
R Markdown - Able to run LLMs locally in
R Studioand evaluate model inference
Course Schedule
Day 1: [23-05]
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Friday | 12:00 - 13:00 | Onboarding & Getting Started with R | | Friday | 13:00 - 13:15 | Break | | Friday | 13:15 - 14:00 | Data Types & Loading | |Friday | 14:00 - 15:00 | Lunch Break | | Friday | 15:00 - 16:00 | Data Wrangling | | Friday | 16:00 - 16:15 | Break | | Friday | 16:15 - 17:00 | Data Workflows & Github |
Day 2: [24-05]
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Saturday | 12:00 - 13:00 | Data Wrangling 2.0 | | Saturday | 13:00 - 13:15 | Break | | Saturday | 13:15 - 14:00 | Exploratory Analyses | |Saturday | 14:00 - 15:00 | Lunch Break | | Saturday | 15:00 - 16:00 | Data Visualization | | Saturday | 16:00 - 16:15 | Break | | Saturday | 16:15 - 17:00 | Relational Data |
Day 3: [23-06]
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Monday | 12:00 - 13:30 | Recap & Confirmatory Analyses | | Monday | 13:30 - 14:30 | Break | | Monday | 14:30 - 15:00 | Reproducible Reporting with R Markdown | |Monday | 15:00 - 15:15 | Break | | Monday | 15:15 - 16:00 | Hands-on R Markdown |
Day 4: [24-06]
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Tuesday | 12:00 - 13:30 | Excursion Shiny APP | | Tuesday | 13:30 - 14:30 | Lunch Break | | Tuesday | 14:00 - 14:20 | Excursion Applications in R (LLMs) | |Tuesday |14:20 - 14:35 | Break | | Tuesday | 14:35 - 16:00 | Group data challenge |
Day 5: [25-06]
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Wednesday | 12:00 - 13:00 | Group data challenge | | Wednesday | 13:00 - 13:15 | Break | | Wednesday | 13:15 - 14:00 | Group data challenge | |Wednesday | 14:00 - 15:00 | Lunch Break | | Wednesday | 15:00 - 16:00 | Group presentations and Wrap-up |
Owner
- Name: Veronika Batzdorfer
- Login: nika-akin
- Kind: user
- Location: Cologne
- Company: GESIS - Leibniz Institute for the Social Sciences
- Repositories: 1
- Profile: https://github.com/nika-akin
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use these materials, please cite them as follows." authors: - family-names: "Jünger" given-names: "Stefan" orcid: "https://orcid.org/0000-0001-8100-7957" - family-names: "Batzdorfer" given-names: "Veronika" orcid: " https://orcid.org/0000-0002-2678-2579 " - family-names: "Breuer" given-names: "Johannes" orcid: "https://orcid.org/0000-0001-5906-7873" title: "Workshop Introduction to R for Data Analysis" date-released: 2022-08-15 url: "https://github.com/StefanJuenger/r-intro-gesis-2022"
GitHub Events
Total
- Issues event: 2
- Watch event: 1
- Member event: 3
- Push event: 46
- Pull request event: 5
- Fork event: 3
- Create event: 2
Last Year
- Issues event: 2
- Watch event: 1
- Member event: 3
- Push event: 46
- Pull request event: 5
- Fork event: 3
- Create event: 2