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R Conference Talk Recordings

10 years of recordings from our past conferences.
Check out the Lander Analytics YouTube Channel for 450+ videos.

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2024 Government & Public Sector R Conference
October 29th & 30th, 2024

William E. J. Doane - Text Explorer

20:30

William E. J. Doane - Text Explorer

Selen Stromgren & Evgeny Kiselev - Harnessing NLP in R to Create the Concept of Ops for a Large Orgs

22:11

Selen Stromgren & Evgeny Kiselev - Harnessing NLP in R to Create the Concept of Ops for a Large Orgs

Abigail Haddad - Finding Your Next Federal Data Job

19:20

Abigail Haddad - Finding Your Next Federal Data Job

Mikaela Meyer - Slowly Scaling Per-Record Differential Privacy

16:42

Mikaela Meyer - Slowly Scaling Per-Record Differential Privacy

Will Angel - Wrangling Data with DuckDB

19:01

Will Angel - Wrangling Data with DuckDB

Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl

21:07

Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl

Benjy Braun - Falling for the Exception: Understanding and Avoiding the Base Rate Fallacy

14:24

Benjy Braun - Falling for the Exception: Understanding and Avoiding the Base Rate Fallacy

Marck Vaisman - R and Python - A Love Story

23:17

Marck Vaisman - R and Python - A Love Story

2024 New York R Conference
May 16th & 17th, 2024

Megan Robertson - Not Your College Stats Course: Engaging Stakeholders Through Data Science

20:55

Megan Robertson - Not Your College Stats Course: Engaging Stakeholders Through Data Science

Chang She - Building Data Tooling in Rust for Multimodal AI

20:56

Chang She - Building Data Tooling in Rust for Multimodal AI

Mike Band - Open-Source Football: A Brief History of the NFL's Big Data Bowl Competition

17:42

Mike Band - Open-Source Football: A Brief History of the NFL's Big Data Bowl Competition

Emily Zabor - Reporting Survival Analysis Results with the gtsummary and ggsurvfit Packages

18:19

Emily Zabor - Reporting Survival Analysis Results with the gtsummary and ggsurvfit Packages

Jared Lander - 15 Years of Data Science in NYC

18:54

Jared Lander - 15 Years of Data Science in NYC

Ipek Ensari -Smooths, Splines, and the Chamber of Secrets - Demystifying Female Reproductive Health

21:02

Ipek Ensari -Smooths, Splines, and the Chamber of Secrets - Demystifying Female Reproductive Health

Sean Taylor - Analyzing and Visualizing Event Sequence Data

20:35

Sean Taylor - Analyzing and Visualizing Event Sequence Data

Andrew Gelman - It’s About Time

40:59

Andrew Gelman - It’s About Time

2023 Government & Public Sector R Conference
October 19th & 20th, 2023

Irena Papst - From Scripts to Pipelines with Targets

21:53

Irena Papst - From Scripts to Pipelines with Targets

Gary Harki - Using Open Records Laws to get Data from the Government (and When to Sue)

19:38

Gary Harki - Using Open Records Laws to get Data from the Government (and When to Sue)

Jon Schwabish -What Not to do in Data Visualization: A Walk through the Bad DataViz Hall of Shame

20:57

Jon Schwabish -What Not to do in Data Visualization: A Walk through the Bad DataViz Hall of Shame

Abigail Haddad - What Job Is This, Anyway?: Using LLMs to Classify USAJobs Data Scientist Listings

17:23

Abigail Haddad - What Job Is This, Anyway?: Using LLMs to Classify USAJobs Data Scientist Listings

Jared P. Lander - Mapping Big Data

21:07

Jared P. Lander - Mapping Big Data

Soubhik Barari - LocalView: Scaling up the Analytics of Local Politics with R

18:15

Soubhik Barari - LocalView: Scaling up the Analytics of Local Politics with R

David Shor - Data, Surveys, and US Politics

18:23

David Shor - Data, Surveys, and US Politics

Alex Gold - Learn to Love Logging

19:35

Alex Gold - Learn to Love Logging

2023 New York R Conference
July 13th & 14th, 2023

Emil Hvitfeldt - Slidecraft: The Art of Creating Pretty Presentations

20:38

Emil Hvitfeldt - Slidecraft: The Art of Creating Pretty Presentations

Matt Dupree - OpenAI's Embeddings are Cooler than ChatGPT: An Intro to using OpenAI's Embeddings API

20:15

Matt Dupree - OpenAI's Embeddings are Cooler than ChatGPT: An Intro to using OpenAI's Embeddings API

Jessica Duncan - Give Credit Where Credit Is Due: Data-Driven Apch. to Marketing Channel Attribution

17:31

Jessica Duncan - Give Credit Where Credit Is Due: Data-Driven Apch. to Marketing Channel Attribution

Mitchell O'Hara-Wild - From Forecast to Fable, Design Decisions for Statistical Software

20:22

Mitchell O'Hara-Wild - From Forecast to Fable, Design Decisions for Statistical Software

Jared P. Lander - Building an R Package with LLMs

20:32

Jared P. Lander - Building an R Package with LLMs

Daniel Chen - Moving to Quarto from RMarkdown and Python Jupyter Notebooks

20:28

Daniel Chen - Moving to Quarto from RMarkdown and Python Jupyter Notebooks

Mike Band - The Many Models in Production at NFL Next Gen Stats

21:05

Mike Band - The Many Models in Production at NFL Next Gen Stats

Bob Rudis - Into the WebR-Verse

21:02

Bob Rudis - Into the WebR-Verse

2022 Government & Public Sector R Conference
December 1st & 2nd, 2022

Shirley Han - Using Quarto to Write and Update Reports

18:53

Shirley Han - Using Quarto to Write and Update Reports

David Meza - The RStudio Ecosystem as a Critical Part of NASA Analytics Capabilities

20:31

David Meza - The RStudio Ecosystem as a Critical Part of NASA Analytics Capabilities

Refael Lav - Global Workforce Modeling at USAID

20:14

Refael Lav - Global Workforce Modeling at USAID

Asmae Toumi - Using Data and R to Deliver Evidence-Based Care for the Opioid Crisis

18:44

Asmae Toumi - Using Data and R to Deliver Evidence-Based Care for the Opioid Crisis

Jared Lander - Deploying R in a Secure Environment

20:01

Jared Lander - Deploying R in a Secure Environment

Danielle Larese & Selen Stromgren - Finding Waldo- Transformation of Unwieldy Data into Infor with R

15:37

Danielle Larese & Selen Stromgren - Finding Waldo- Transformation of Unwieldy Data into Infor with R

Marck Vaisman - Leaping from Your Workstation to Production

21:59

Marck Vaisman - Leaping from Your Workstation to Production

David Shor - Data and American Politics

19:20

David Shor - Data and American Politics

2022 New York R Conference
June 9th & 10th, 2022

Jeroen Janssens - R and Raylib: All Fun and Games‽

12:39

Jeroen Janssens - R and Raylib: All Fun and Games‽

Malorie Hughes - The Anatomy of a Plot: From gg to highcharter

20:34

Malorie Hughes - The Anatomy of a Plot: From gg to highcharter

Mike Band - The Many Ways to Create a Composite Score in Sports & Beyond

20:54

Mike Band - The Many Ways to Create a Composite Score in Sports & Beyond

Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues

16:41

Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues

Jared Lander - Using R for GIS and Mapping

20:09

Jared Lander - Using R for GIS and Mapping

Daniel Chen- Combining Analysis Work w/ Reports & Presentations What I Would Change About My Dissert

21:19

Daniel Chen- Combining Analysis Work w/ Reports & Presentations What I Would Change About My Dissert

Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn

19:42

Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn

Andrew Gelman- When You do Applied Statistics, You're Acting Like a Scientist. Why Does this matter?

41:00

Andrew Gelman- When You do Applied Statistics, You're Acting Like a Scientist. Why Does this matter?

2021 Government & Public Sector R Conference
December 9th & 10th, 2021

Aaron Mannes - Big Data @DHS: Vast and Varied

17:16

Aaron Mannes - Big Data @DHS: Vast and Varied

Jordan Jasuta Fischer - Ensemble NLP to classify medical conditions

16:32

Jordan Jasuta Fischer - Ensemble NLP to classify medical conditions

Cezary Podkul - “Data or it didn’t happen": How to make data-driven news stories happen

25:30

Cezary Podkul - “Data or it didn’t happen": How to make data-driven news stories happen

Coline Zeballos - Ensuring the quality of your R packages for regulatory submissions

19:36

Coline Zeballos - Ensuring the quality of your R packages for regulatory submissions

Jared P. Lander - Using {targets}, {arrow}, Docker, Postgres and the Command Line for Medium Data

23:02

Jared P. Lander - Using {targets}, {arrow}, Docker, Postgres and the Command Line for Medium Data

Asmae Toumi - Using data and R to improve substance use disorder care: the startup experience

20:17

Asmae Toumi - Using data and R to improve substance use disorder care: the startup experience

Brook Frye & Ben Witte - Data and Decision Making in the Legislative Process

21:22

Brook Frye & Ben Witte - Data and Decision Making in the Legislative Process

David Shor - Bayesian statistics, government, and the 2020 election

19:32

David Shor - Bayesian statistics, government, and the 2020 election

2021 New York R Conference
September 9th & 10th, 2021

Megan Robertson - Creating Production Level Data Science Code

22:09

Megan Robertson - Creating Production Level Data Science Code

Jeroen Janssens - Set your R code free; turn it into a command-line tool

15:17

Jeroen Janssens - Set your R code free; turn it into a command-line tool

Danielle Oberdier - How to Write Engaging R Tutorials

17:01

Danielle Oberdier - How to Write Engaging R Tutorials

Alexa Fredston - R for the Planet

18:15

Alexa Fredston - R for the Planet

Jared Lander - GPU Computing in R

23:32

Jared Lander - GPU Computing in R

Daniel Chen - Learner Personas for Domain-Specific Data Science Educational Materials

24:56

Daniel Chen - Learner Personas for Domain-Specific Data Science Educational Materials

Caitlin Hudon - Impacting Churn with Data

21:19

Caitlin Hudon - Impacting Churn with Data

Mike Band - Go or Kick? Enhancing the NFL Fan Experience with Real-Time 4th Down Decision Analytics

17:40

Mike Band - Go or Kick? Enhancing the NFL Fan Experience with Real-Time 4th Down Decision Analytics

2020 Government & Public Sector R Conference
December 3rd & 4th, 2020

Gwynn Sturdevant - FasteR Code: Vectorizing Computations in R

21:19

Gwynn Sturdevant - FasteR Code: Vectorizing Computations in R

Mike Jadoo - Creating Tornqvist Index in R for Production

22:30

Mike Jadoo - Creating Tornqvist Index in R for Production

David Meza - Developing a Knowledge Graph of your Knowledge, Skills, Abilities, Tasks and Training

23:41

David Meza - Developing a Knowledge Graph of your Knowledge, Skills, Abilities, Tasks and Training

Maxine Drake - Modeling COVID-19 on a DoD Network

19:43

Maxine Drake - Modeling COVID-19 on a DoD Network

Jared P. Lander - Taking R From Hours to Seconds

23:08

Jared P. Lander - Taking R From Hours to Seconds

Daniel Chen - Learning Tidy Evaluation by Reimplementing dplyr

21:57

Daniel Chen - Learning Tidy Evaluation by Reimplementing dplyr

Col Alfredo Corbett - Air Combat Command Enterprise Data Improvements

20:50

Col Alfredo Corbett - Air Combat Command Enterprise Data Improvements

Andrew Gelman - Election Forecasting

24:38

Andrew Gelman - Election Forecasting

2020 New York R Conference
August 14th & 15th, 2020

Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}

22:28

Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}

Dr. Adam Obeng - Adaptive Experimentation

18:16

Dr. Adam Obeng - Adaptive Experimentation

Ludmila Janda - Using R to Better Understand R-Ladies NYC

18:52

Ludmila Janda - Using R to Better Understand R-Ladies NYC

Emily Robinson - {funneljoin}: Defining a Tidy Grammar on Funnels in R

16:42

Emily Robinson - {funneljoin}: Defining a Tidy Grammar on Funnels in R

Jared P. Lander - Finding the Tallest Tree: Comparing Decision Tree, Random Forest & Boosted Tree

21:28

Jared P. Lander - Finding the Tallest Tree: Comparing Decision Tree, Random Forest & Boosted Tree

Daniel Chen - Grading Code with gradethis

21:52

Daniel Chen - Grading Code with gradethis

Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch

26:02

Dr. Jon Krohn - Deep Learning Battle: TensorFlow 2 vs PyTorch

Andrew Gelman - Truly Open Science: From Design and Data Collection to Analysis and Decision Making

44:59

Andrew Gelman - Truly Open Science: From Design and Data Collection to Analysis and Decision Making

2019 Government & Public Sector R Conference
November 8th & 9th, 2019

Refael Lav - R Cloud and Google – Practical Tools for Data Science, NLP, API, and Maps

19:51

Refael Lav - R Cloud and Google – Practical Tools for Data Science, NLP, API, and Maps

Samantha Tyner - Pagedown: in HTML We Trust

16:42

Samantha Tyner - Pagedown: in HTML We Trust

Tommy Jones - Optimizing Topic Models for Classification Tasks

20:09

Tommy Jones - Optimizing Topic Models for Classification Tasks

Emily Robinson - funneljoin: Defining a Tidy Grammar of Funnels in R

17:07

Emily Robinson - funneljoin: Defining a Tidy Grammar of Funnels in R

Jared Lander - Raising Baby with R

17:45

Jared Lander - Raising Baby with R

Daniel Chen - R and Python Coexisting in the Same Development Environment

19:49

Daniel Chen - R and Python Coexisting in the Same Development Environment

Marck Vaisman - Managing Your Cloud: Working with APIs

20:49

Marck Vaisman - Managing Your Cloud: Working with APIs

Marlorie Hughes - Dashboarding Like a Boss

21:04

Marlorie Hughes - Dashboarding Like a Boss

2019 New York R Conference
May 10th & 11th, 2019

Ludmila Janda - Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks

16:26

Ludmila Janda - Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks

Mike Band - The Football Analytics Tipping Point: How Player Tracking Technology is Changing the NFL

20:03

Mike Band - The Football Analytics Tipping Point: How Player Tracking Technology is Changing the NFL

Emily Dodwell - From Tangled Lassos to Boosted Trees: Iterative Research in Practice

17:49

Emily Dodwell - From Tangled Lassos to Boosted Trees: Iterative Research in Practice

Emily Robinson - Everything You Wanted to Know About Making R Packages but Were Afraid to Ask

20:14

Emily Robinson - Everything You Wanted to Know About Making R Packages but Were Afraid to Ask

Jared P. Lander - R: Then and Now

19:46

Jared P. Lander - R: Then and Now

Daniel Chen - Building Reproducible and Replicable Projects

20:39

Daniel Chen - Building Reproducible and Replicable Projects

Krista Watts - Using Statistical Methods to Estimate Coefficients in Allometric Models

19:37

Krista Watts - Using Statistical Methods to Estimate Coefficients in Allometric Models

Andrew Gelman - Solve All Your Statistics Problems Using P-Values

45:56

Andrew Gelman - Solve All Your Statistics Problems Using P-Values

2018 Government & Public Sector R Conference
November 8th & 9th, 2018

Refael Lav - Practical R - R as LEGO to Solve Real Problems

16:39

Refael Lav - Practical R - R as LEGO to Solve Real Problems

Soumya Kalra - My Open Source Journey in R\Finance

13:56

Soumya Kalra - My Open Source Journey in R\Finance

Michael Powell - Democratizing Data Science: Using R for End-to-End Intelligence Production

20:42

Michael Powell - Democratizing Data Science: Using R for End-to-End Intelligence Production

Emily Robinson - Building an A/B Testing Analytics System with R and Shiny

21:17

Emily Robinson - Building an A/B Testing Analytics System with R and Shiny

Jared P. Lander - Many Ways to Lasso

21:26

Jared P. Lander - Many Ways to Lasso

Daniel Chen - Structuring Your Data Science Projects

20:41

Daniel Chen - Structuring Your Data Science Projects

Marck Vaisman - gg-what?: A Look at the ggplot Ecosystem

21:10

Marck Vaisman - gg-what?: A Look at the ggplot Ecosystem

Catherine Zhou - Anomaly Detection With Time Series Data: How to Know if Something is Terribly Wrong

14:18

Catherine Zhou - Anomaly Detection With Time Series Data: How to Know if Something is Terribly Wrong

2018 New York R Conference
April 19th & 20th, 2018

Sandy Griffith - Accelerating Cancer Research with R

22:23

Sandy Griffith - Accelerating Cancer Research with R

Eurry Kim - Skin First, Makeup Second: A Metaphor for Data Science

19:04

Eurry Kim - Skin First, Makeup Second: A Metaphor for Data Science

Marck Vaisman - R for Big Data in the Cloud

20:28

Marck Vaisman - R for Big Data in the Cloud

Emily Robinson - The Lesser Known Stars of the Tidyverse

18:04

Emily Robinson - The Lesser Known Stars of the Tidyverse

Jared Lander - Deep Learning vs Machine Learning in R

19:54

Jared Lander - Deep Learning vs Machine Learning in R

Daniel Chen - Doing Data Science

20:58

Daniel Chen - Doing Data Science

Sean Taylor - Forecasting at Scale: How and Why We Developed Prophet for Forecasting at Facebook

20:28

Sean Taylor - Forecasting at Scale: How and Why We Developed Prophet for Forecasting at Facebook

Noam Ross - The Modern R Data Package

21:45

Noam Ross - The Modern R Data Package

2017 New York R Conference
April 21st & 22nd, 2017

How R Helps Airbnb Make the Most of Its Data

15:25

How R Helps Airbnb Make the Most of Its Data

Fine Grained Visual Category Recognition and Perceptual Embedding

20:00

Fine Grained Visual Category Recognition and Perceptual Embedding

An R Cloud Computing Lifeline: The Missing Manual for Running R on Amazon Cloud

16:09

An R Cloud Computing Lifeline: The Missing Manual for Running R on Amazon Cloud

R Makes the World Go ‘Round: Data Driven Decision Making at JetBlue

20:33

R Makes the World Go ‘Round: Data Driven Decision Making at JetBlue

Fun with R

19:08

Fun with R

So You Want to be a Data Scientist?

20:21

So You Want to be a Data Scientist?

We R What We Ask: The Landscape of R Users on Stack Overflow

19:51

We R What We Ask: The Landscape of R Users on Stack Overflow

Theoretical Statistics is the Theory of Applied Statistics: How to Think About What We Do

39:06

Theoretical Statistics is the Theory of Applied Statistics: How to Think About What We Do

2016 New York R Conference
April 8th & 9th, 2016

Scaling Data Science at Airbnb

22:26

Scaling Data Science at Airbnb

Improving Data Interoperability for Python and R

20:03

Improving Data Interoperability for Python and R

RCloud - Collaborative Environment for Visualization and Big Data Analytics

40:39

RCloud - Collaborative Environment for Visualization and Big Data Analytics

Gadgets, Addins, and HTML Templates

21:08

Gadgets, Addins, and HTML Templates

Using R at NYT Graphics

12:59

Using R at NYT Graphics

An Economic Research Platform using R, Semantic Technologies, and Lambda Architecture

21:57

An Economic Research Platform using R, Semantic Technologies, and Lambda Architecture

Testing Your Data and Code in R

19:20

Testing Your Data and Code in R

High-Performance Python

20:44

High-Performance Python

2015 New York R Conference
April 24th & 25th, 2015

But When You Call Me Bayesian, I Know I’m Not the Only One

43:42

But When You Call Me Bayesian, I Know I’m Not the Only One

The Data Perspective

19:51

The Data Perspective

Engagement & Reality

19:56

Engagement & Reality

Reproducible Analysis in Production: Lessons from Etsy

20:12

Reproducible Analysis in Production: Lessons from Etsy

htmlwidgets

28:37

htmlwidgets

Making R Go Faster and Bigger

20:09

Making R Go Faster and Bigger

Storytelling with Data Visualizations

22:18

Storytelling with Data Visualizations

Visual NYC

21:26

Visual NYC

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