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August 20, 2022 18:14
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rstudioconf(2022) video links
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# rstudio::conf 2022 talks | |
# https://www.rstudio.com/conference/2022/2022-conf-talks/ | |
# potomac c | |
# Cracking open ggplot internals with ggtrace | |
https://www.rstudio.com/conference/2022/talks/cracking-open-ggplot-internals-ggtrace/ | |
# Sometimes you just need words | |
https://www.rstudio.com/conference/2022/talks/sometimes-you-just-need-words/ | |
# Digging a pit of success for your organization | |
https://www.rstudio.com/conference/2022/talks/leveraging-r-based-ecosystem/ | |
# Tidy transit | |
https://www.rstudio.com/conference/2022/talks/tidy-transit-real-life-data/ | |
# use python with rstudio team | |
https://www.rstudio.com/conference/2022/talks/develop-deploy-python-rstudio/ | |
# quarto for the curious | |
https://www.rstudio.com/conference/2022/talks/quarto-for-rmarkdown-users/ | |
# save an ocean of time | |
https://www.rstudio.com/conference/2022/talks/save-ocean-of-time-streamline/ | |
# lterate programming with quarto | |
# https://www.rstudio.com/conference/2022/talks/literate-programming-quarto/ | |
# developing internal tools for multilingual teams | |
https://www.rstudio.com/conference/2022/talks/developing-internal-tools-multilingual/ | |
# achieving a seamless workflow btw R Pythong and SAS from within RStudio | |
https://www.rstudio.com/conference/2022/talks/achieving-seamless-workflow-r-python/ | |
# creating rich content with quarto | |
https://www.rstudio.com/conference/2022/talks/sessions/quarto-deep-dive/websites-books-blogs-quarto/ | |
# favorite things about quarto presentations | |
https://www.rstudio.com/conference/2022/talks/my-favorite-things-quarto-presentations/ | |
# model migration | |
https://www.rstudio.com/conference/2022/talks/model-migration-excel-to-r/ | |
# saving 1000 hours with rstudio | |
https://www.rstudio.com/conference/2022/talks/saving-1000-hours-rstudio/ | |
# R python and tableau | |
https://www.rstudio.com/conference/2022/talks/r-python-tableau-love-triangle/ | |
# advocating for automation | |
https://www.rstudio.com/conference/2022/talks/advocating-for-automation/ | |
# tidyverse and power bi | |
https://www.rstudio.com/conference/2022/talks/tidyverse-power-bi-match-made/ | |
# creating data input platform using tidyverse | |
https://www.rstudio.com/conference/2022/talks/creating-data-input-platform-using/ | |
# building a client portal app with embedded power bi reports | |
https://www.rstudio.com/conference/2022/talks/building-client-portal-app/ | |
# running shiny without a server | |
https://www.rstudio.com/conference/2022/talks/running-shiny-without-server/ | |
# find delight in the mundane | |
https://www.rstudio.com/conference/2022/talks/inheritance-upgrading-legacy-project-making/ | |
# highlights of knitr package | |
https://www.rstudio.com/conference/2022/talks/highlights-of-knitr-package-past/ | |
# potomac d | |
# implications of R syntax in intro stats | |
https://www.rstudio.com/conference/2022/talks/implications-of-r-syntax/ | |
# introducing workboots | |
https://www.rstudio.com/conference/2022/talks/pull-bootstraps-generating-bootstrap-prediction/ | |
# censored survival analysis in tidymodels | |
https://www.rstudio.com/conference/2022/talks/censored-survival-analysis-in-tidymodels/ | |
# comparing package versions with diffify | |
https://www.rstudio.com/conference/2022/talks/comparing-package-versions-diffify/ | |
# multilingual shiny apps | |
https://www.rstudio.com/conference/2022/talks/say-hello-to-multilingual-shiny/ | |
# webR running R in a web browser | |
https://www.rstudio.com/conference/2022/talks/webr-r-compiled-for-webassembly/ | |
# build shiny app's UI | |
https://www.rstudio.com/conference/2022/talks/new-way-to-build-shiny/ | |
# geospatial computing with apache arrow | |
https://www.rstudio.com/conference/2022/talks/accelerating-geospatial-computing-using-apache/ | |
# spatial data analysis with tidyverse | |
https://www.rstudio.com/conference/2022/talks/exploratory-spatial-data-analysis/ | |
# bits to character encoding | |
https://www.rstudio.com/conference/2022/talks/lets-start-beginning-bits/ | |
# automations with GH actions | |
https://www.rstudio.com/conference/2022/talks/making-awesome-automations-github-actions/ | |
# shinyslack | |
https://www.rstudio.com/conference/2022/talks/shinyslack-connecting-slack-teams/ | |
# automated shiny app testing | |
https://www.rstudio.com/conference/2022/talks/robust-framework-for-automated-shiny/ | |
# tidyclust | |
https://www.rstudio.com/conference/2022/talks/tidyclust-expanding-tidymodels-to-clustering/ | |
# tidysynthesis r package | |
https://www.rstudio.com/conference/2022/talks/tidysynthesis-r-package/ | |
# shinytest2 | |
https://www.rstudio.com/conference/2022/talks/shinytest2-unit-testing-for-shiny/ | |
# customer facing products with rstudio connect | |
https://www.rstudio.com/conference/2022/talks/rapidly-building-secure-customer-facing/ | |
# future of missing data | |
https://www.rstudio.com/conference/2022/talks/future-of-missing-data/ | |
# making shiny apps mobile responsive | |
https://www.rstudio.com/conference/2022/talks/let-mobile-shine-leveraging-css/ | |
# daashboard builder | |
https://www.rstudio.com/conference/2022/talks/dashboard-builder/ | |
# shiny from conseption to cloud | |
https://www.rstudio.com/conference/2022/talks/r-shiny-conception-to-cloud/ | |
# designing for people is hard | |
https://www.rstudio.com/conference/2022/talks/whats-new-in-shiny-ui/ | |
# it's about time | |
https://www.rstudio.com/conference/2022/talks/its-about-time/ | |
# visualizing with ggdist | |
https://www.rstudio.com/conference/2022/talks/visualizing-distributions-uncertainty-using-ggdist/ | |
# leafdown multi-layer maps in shiny | |
https://www.rstudio.com/conference/2022/talks/leafdown-interactive-multi-layer-maps/ | |
# rhino | |
https://www.rstudio.com/conference/2022/talks/introducing-rhino-shiny-application-framework/ | |
# rstudio connect with kubernetes | |
https://www.rstudio.com/conference/2022/talks/remote-content-execution-rstudio-connect/ | |
# workshops wtih gh codespaces | |
https://www.rstudio.com/conference/2022/talks/zero-setup-r-workshops-github/ | |
# design system for shiny | |
https://www.rstudio.com/conference/2022/talks/creating-design-system-for-shiny/ | |
# robust r deployments | |
https://www.rstudio.com/conference/2022/talks/robust-r-deployments-building-pipeline/ | |
# quick fix | |
https://www.rstudio.com/conference/2022/talks/dissecting-quick-fix-analysing-tech/ | |
# demystifying mlops | |
https://www.rstudio.com/conference/2022/talks/demystifying-mlops/ | |
# cherry blossom | |
# metadata with tplyr | |
https://www.rstudio.com/conference/2022/talks/dive-deep-metadata-tplyr/ | |
# alaska vaccine finder | |
https://www.rstudio.com/conference/2022/talks/anchorage-built-alaskas-vaccine-finder/ | |
# creative quilting with r | |
https://www.rstudio.com/conference/2022/talks/quilting-in-r-becoming-creative/ | |
# packages and process | |
https://www.rstudio.com/conference/2022/talks/packages-and-process/ | |
# community building | |
https://www.rstudio.com/conference/2022/talks/everything-learned-community-building-learned/ | |
# package assessment | |
https://www.rstudio.com/conference/2022/talks/r-package-assessment-lessons-pharma/ | |
# kagglers | |
https://www.rstudio.com/conference/2022/talks/r-kagglers-intersection-of-data/ | |
# pollinator | |
https://www.rstudio.com/conference/2022/talks/how-to-be-pollinator/ | |
# transitions to industry from academia | |
https://www.rstudio.com/conference/2022/talks/wtf-teach-you-industry/ | |
# scaling and automating workflows | |
https://www.rstudio.com/conference/2022/talks/scaling-automating-r-workflows-kubernetes/ | |
# ggplot2 rollercoaster | |
https://www.rstudio.com/conference/2022/talks/building-ggplot2-rollercoaster-creating-amazing/ | |
# integrated workflow | |
https://www.rstudio.com/conference/2022/talks/integrated-workflow-azure-devops-rstudio/ | |
# vaccines africa | |
https://www.rstudio.com/conference/2022/talks/optimal-allocation-of-covid-19/ | |
# journey to data science | |
https://www.rstudio.com/conference/2022/talks/journey-to-data-science-tools/ | |
# anomaly detection | |
https://www.rstudio.com/conference/2022/talks/cross-industry-anomaly-detection-solutions/ | |
# starting a business with R | |
https://www.rstudio.com/conference/2022/talks/wtf-teach-you-starting-business/ | |
# realtime rendering | |
https://www.rstudio.com/conference/2022/talks/polygons-of-another-world-realtime/ | |
# building accessible lessons | |
https://www.rstudio.com/conference/2022/talks/building-accessible-lessons-r-friends/ | |
# open source contributor | |
https://www.rstudio.com/conference/2022/talks/journey-to-becoming-apache-arrow/ | |
# talking to non-datas | |
https://www.rstudio.com/conference/2022/talks/benefit-of-talking-to-non-datas/ | |
# enterprise level data science success | |
https://www.rstudio.com/conference/2022/talks/enterprise-level-data-science-success/ | |
# national harbor | |
# mobile and low-tech | |
https://www.rstudio.com/conference/2022/talks/mobile-low-bandwidth-low-tech/ | |
# tidymodels and scikitlearn | |
https://www.rstudio.com/conference/2022/talks/teaching-bilingual-classes-tidymodels-scikit/ | |
# query optimization | |
https://www.rstudio.com/conference/2022/talks/exploring-query-optimization/ | |
# project immortality github | |
https://www.rstudio.com/conference/2022/talks/project-immortality-github/ | |
# ggtrace | |
https://www.rstudio.com/conference/2022/talks/cracking-open-ggplot-internals-ggtrace/ | |
# R ecosystem solo | |
https://www.rstudio.com/conference/2022/talks/cultivating-r-ecosystem-solo-contributor/ | |
# shiny e-commerce platform | |
https://www.rstudio.com/conference/2022/talks/made-entire-e-commerce-platform/ | |
# rmarkdown rsconnect shiny | |
https://www.rstudio.com/conference/2022/talks/r-markdown-rstudio-connect-r/ | |
# dm | |
https://www.rstudio.com/conference/2022/talks/dm-analyze-build-deploy-relational/ | |
# use renv | |
https://www.rstudio.com/conference/2022/talks/you-should-use-renv/ | |
# robotics | |
https://www.rstudio.com/conference/2022/talks/touch-of-r-in-robotics/ | |
# custom libraries | |
https://www.rstudio.com/conference/2022/talks/demystifying-art-of-creating-custom/ | |
# dashboards nih | |
https://www.rstudio.com/conference/2022/talks/shiny-dashboards-for-biomedical-research/ | |
# data pipelines | |
https://www.rstudio.com/conference/2022/talks/making-data-pipelines-in-r/ | |
# dbcooper | |
https://www.rstudio.com/conference/2022/talks/dbcooper-turn-database-r-python/ | |
# parsing R files | |
https://www.rstudio.com/conference/2022/talks/summarizing-projects-to-setting-tags/ | |
# garbage data | |
https://www.rstudio.com/conference/2022/talks/bad-data-what-to-do/ | |
# socially critical data science course | |
https://www.rstudio.com/conference/2022/talks/designing-socially-critical-data-science/ | |
# apple health export | |
https://www.rstudio.com/conference/2022/talks/introduction-to-apple-health-export/ | |
# r7 | |
https://www.rstudio.com/conference/2022/talks/introduction-to-r7/ | |
# R on raspi | |
https://www.rstudio.com/conference/2022/talks/worlds-smallest-r-environment-running/ | |
# keynotes | |
# Hadley and JJ | |
https://www.rstudio.com/conference/2022/keynotes/rstudio-2022-beyond/ | |
# quarto | |
https://www.rstudio.com/conference/2022/keynotes/collaborate-with-quarto/ | |
# tidymodels | |
https://www.rstudio.com/conference/2022/keynotes/applied-machine-learning/ | |
# data science training | |
https://www.rstudio.com/conference/2022/keynotes/data-science-training/ | |
# joe cheng shiny | |
https://www.rstudio.com/conference/2022/keynotes/past-future-shiny/ | |
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