interviewed at – Hadley Wickham

on YouTube ↗08m

" summary

ggvis turns ggplot2 into interactive web graphics by generating standard HTML/CSS/JavaScript pages so charts work in the browser and on iPads, aiming for polished exploratory plots that require only 5–10 lines of R code. contrasts D3 and Tableau as more production communication tools. notes widespread R use outside statistics, common practice of mixing languages (SQL as a near-universal second language), and a clear wish to make R much faster.

AI-written summary · about

" related talks

• 01h 01m50 ways to show your dataThomas Hütter · NDC London 2023
• 13mState of the a-R-t - Advances in mapping in RDavid Cooley · FOSS4G SotM Oceania 2018
• 01h 26mEasily build interactive plots and apps with hvPlotPhilipp Rudiger, Maxime Liquet · PyCon DE & PyData Berlin 2022
• 28mEscher: democratizing beautiful visualizationsShashi Gowda · The Fifth Elephant 2015
• 31mbqplot Interactive Data Visualization in JupyterDhruv Madeka · PyData Seattle 2017
• 41mInteractive Visualization in Jupyter with Bqplot and Interactive WidgetsSylvain Corlay · PyData London 2016
• 01h 26mTurning DataFrames into Pretty Pictures with PlotnineJanssens, Chow, Nieuwdorp · PyData NYC 2024
• 59mEmbracing multi-lingual data scienceHadley Wickham · PyData Global 2022