Analysis updated 2026-08-08 · repo last pushed 2026-07-25
Learn to author data analysis documents mixing text, code, and charts in a single file.
Create reports with tabs and multi-column layouts for organizing data findings.
Build parameterized reports that automatically adjust based on values you set.
Turn your data analysis into a polished slideshow for presenting to a team.
| rstudio/academy-python-ide-tutorials | 000madz000/rfid-attendance | 00kaku/gallery-slider-block | |
|---|---|---|---|
| Language | — | TypeScript | JavaScript |
| Last pushed | 2026-07-25 | 2024-07-22 | 2021-05-19 |
| Maintenance | Active | Dormant | Dormant |
| Setup difficulty | moderate | easy | easy |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | data | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Requires installing Python data packages and the Quarto document format tool on your computer.
This repository provides starter files for a Posit Academy course called "Foundations of Python for Data Science." The course teaches you how to build data analysis reports and presentations using a coding environment on your computer while you follow guided lessons in your web browser. Instead of starting from a blank page, you get partially built files so you can jump right into learning by doing. The project is organized into four folders, each covering a different skill. You learn how to author a data analysis document, create reports with tabs and multi-column layouts, build reports that automatically adjust based on parameters you set, and turn your analysis into a slideshow. Each folder contains a starter file and any data needed for that lesson. As you watch the browser tutorial, you edit the provided file alongside it, so you are practicing the concepts in real time rather than just reading about them. This is designed for people learning Python for data science, particularly those using Positron or RStudio as their coding software. A beginner data analyst who wants to move beyond basic spreadsheets and start creating polished, reproducible reports would get a lot out of these exercises. Someone preparing to present data findings to a team could also use these tutorials to learn how to turn raw analysis into a clean slideshow. To use the materials, you download the project to your computer and install a few standard data tools, specifically packages for working with data tables and creating charts. The tutorials rely on a document format called Quarto, which lets you mix written text, code, and visual output into a single file that can be rendered as a report or presentation.
Starter files for a Posit Academy course that teaches you to build data analysis reports and presentations using Python, Quarto, and your coding environment.
Active — commit in last 30 days (last push 2026-07-25).
No license information is provided in the repository materials.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly data.
This repo across BitVibe Labs
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