Welcome! This repository allows you to explore the world of data visualization using R and Quarto. It contains a collection of example charts, dashboards, and custom themes to help you elevate your data insights.
Here is an overview of the directories available in this project:
A comprehensive collection of plotting examples. This folder includes:
- Standard Charts: Bar, pie, boxplots, scatter plots.
- Advanced Visualizations: Alluvial plots, radar charts, waffle charts, spinograms.
- Interactive Plots: Highcharts, Leaflet maps.
- Specialized Plots: Graph coloring, dendrograms, timeline visualizations.
Examples of interactive dashboards created with Quarto:
- Gapminder & Penguins: Classic dataset visualizations.
- Simple & Custom Dashboards: Templates and layouts for data presentation.
Resources for styling and theming:
- Custom Themes: Tools for ensuring a consistent look and feel.
- Color Palettes:
custom_colors.qmdfor defining specific color schemes. - Custom Charts: Reusable chart components.
Geospatial analysis and mapping projects:
- R_maps: Focuses on route visualization (GPX files), AI integration, and calendar maps.
- GIS: Geographic Information Systems analysis, including zoning districts and elevation models (DEM).
- Google: Scripts for processing Google data (e.g., converting Timeline to maps).
- medium: Code related to articles and tutorials (e.g.,
colorify.qmd).
Standalone analysis projects:
- Lex Friedman: Analysis of podcast data.
- Oscars Table: Visualization of Academy Awards data.
I use R and Python for data visualization.
- Having fun with Data visualization
- Improving coding skills
- Improving data visualization techniques
- Getting started with dashboards
- Publishing work
- Add delight to the experience when all tasks are complete 🎉
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
- GitHub Repository: UlrikeDetective/sources
