ECharts for Python
A guide to using the Python wrapper for Apache ECharts to create and render interactive charts as static images.
A guide to using the Python wrapper for Apache ECharts to create and render interactive charts as static images.
A guide to using Python's Altair library for data visualization, comparing it to tools like Tableau, and showing setup and examples.
A tutorial on generating stylized maps in Python using the prettymaps library, OpenStreetMap data, and vsketch for rendering.
A tutorial on solving overlapping x-axis label issues in ggplot2 using techniques like plot resizing, axis swapping, and label rotation.
A tutorial on using the R magick package to programmatically add semi-transparent color overlays to images for better text readability.
Introducing gtExtras, an R package for creating beautiful, functional tables with opinionated themes and inline graphics.
A tutorial on building responsive bar charts using CSS Grid, with no external libraries required.
A data visualization analysis of daylight hours across global cities, examining the impact of Daylight Saving Time on work-life balance.
A web developer critiques the performance and loading speed of Germany's official RKI COVID-19 dashboard, proposing technical improvements.
Introducing OmicNavigator, an open-source R package and web app for interactive exploration and visualization of omics data analysis results.
A developer shares personal recommendations for three high-quality web development courses covering Three.js, D3 data visualization, and CSS for JS developers.
A guide to calculating the break-even point for a project, including how to build a web app to visualize the results with a chart library.
A data visualization project mapping the world's countries by the first letter of their names using R and ggplot2, presented as small multiples.
A tutorial using Euler/Venn diagrams to visualize and explain the R² statistic and variance in regression models.
A developer explains how using a minimal reproducible example (reprex) in R helps debug code and isolate issues, turning frustration into effective problem-solving.
A tutorial on creating and customizing bar charts in ggplot2, focusing on adding percentage labels, custom colors, and improving accessibility.
A technical analysis comparing traditional maps to hexmap visualizations for New Zealand housing affordability data using R and ggplot2.
Explores how color choices in data visualizations evoke emotions and influence interpretation, using temperature charts as an example.
A tutorial on creating Raincloud Plots, a hybrid data visualization combining box plots, violin plots, and raw data points, using ggplot2 in R.
A retrospective on the TidyTuesday data visualization project's three-year anniversary, highlighting community growth and the importance of accessibility in data viz.