Скачать или смотреть Same Data, Different Tools: Visualizing with R and Python (Olivia Hebner, Summit)

Olivia Hebner discusses the challenge of recreating a historical visualization from Du Bois' 1900 Paris exposition using both R and Python. The project involved teamwork, with each group focusing on different aspects of the visualization process. They compared workflows in both programming languages, emphasizing the importance of strong data and design principles to achieve high-quality results. The teams utilized various tools and libraries, such as pandas, NumPy, matplotlib, tidyverse, and ggplot2, to replicate the original visual's aesthetic. Ultimately, the speaker highlights that collaboration enhances the quality of the outcomes.

Same Data, Different Tools: Visualizing with R and Python

💬 Speaker(s): Olivia Hebner

📝 Abstract:

In 2024, our team participated in a data challenge to recreate a visualization from W.E.B. Du Bois’s 1900 Paris Exposition using modern tools. We split into two groups—one using R and the other Python—to compare their strengths and limitations. Both teams used census and geographic data to map county-level populations for 1870 and 1880. Team R used ggplot2 and grid for precise layout control, while Team Python used matplotlib’s subplot system for structuring. This challenge pushed us beyond more traditional data science visualizations, requiring creative approaches to mimic Du Bois’s design. Attendees will gain insights into data wrangling, visualization techniques, and layout design to guide their own projects.

📁 Materials - https://github.com/summitllc/Du-Bois-... posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-m...