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Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
Workshop
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Eric Huang
MongoDB
Data Analyst, People Analytics
New York, NY
Contact Me
on LinkedIn
Tuesday
, July 26
11:00am EDT
Causal Inference in R
National Harbor 3
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
R for People Analytics
Chesapeake E
5:30pm EDT
Welcome Reception
6. Riverview Ballroom
Wednesday
, July 27
7:30am EDT
Breakfast
5. Maryland
Academic / Research - Birds of a Feather
Maryland 1, 2, & 3
Birds of a Feather - Variegated Groups
5. Maryland
9:00am EDT
Good practices for applied machine learning - from model development to model deployment
0. Potomac A+B
11:00am EDT
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
censored - Survival Analysis in tidymodels
2. Potomac D
11:20am EDT
R, Python, and Tableau: A Love Triangle
1. Potomac C
tidyclust - expanding tidymodels to clustering
2. Potomac D
11:40am EDT
Packages and Process
3. Cherry Blossom
Building a client portal app for a mortgage management group with embedded Power BI reports
1. Potomac C
Demystifying MLOps
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
Birds of a Feather Lunch - Variegated Groups
5. Maryland
Business Operations - Birds of a Feather
Maryland 4, 5, & 6
Pharma / Life Sciences - Birds of a Feather
Maryland 1, 2, & 3
1:30pm EDT
How Anchorage Built Alaska’s Vaccine Finder with R
3. Cherry Blossom
Do It For Yourself: Creating a data input platform using R
1. Potomac C
1:50pm EDT
Scaling and automating R workflows with Kubernetes and Airflow
3. Cherry Blossom
Garbage Data, And What To Do About Them
4. National Harbor 10+11
2:10pm EDT
Project Immortality: Using GitHub To Make Your Work Live Forever
4. National Harbor 10+11
Advocating for Automation: Adapting Current Tools in Environmental Science through R
1. Potomac C
2:30pm EDT
Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story
3. Cherry Blossom
Robust R Deployments: Building a Pipeline from RStudio to Production
2. Potomac D
3:20pm EDT
What they forgot to teach you about starting a business with R
3. Cherry Blossom
3:40pm EDT
Sometimes you just need words
1. Potomac C
Introducing workboots: Generate prediction intervals from tidymodel workflows
2. Potomac D
4:00pm EDT
The tidysynthesis R package
2. Potomac D
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
5:30pm EDT
Birds of a Feather Happy Hour - Industry Groups
Chesapeake
6:00pm EDT
Evening Dinner & Activities
7. Orchard Terrace
Thursday
, July 28
7:30am EDT
Breakfast
5. Maryland
Birds of a Feather Breakfast - Variegated Groups
5. Maryland
Education & Teaching - Birds of a Feather
Maryland 1, 2, & 3
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
Developing internal tools for multi-lingual teams
1. Potomac C
Exploratory Spatial Data Analysis in the tidyverse
2. Potomac D
10:40am EDT
It's about time
2. Potomac D
10:50am EDT
Accelerating geospatial computing using Apache Arrow
2. Potomac D
10:55am EDT
Zero-setup R workshops with GitHub Codespaces
2. Potomac D
11:00am EDT
Making awesome automations with GitHub Actions
2. Potomac D
11:05am EDT
{shinyslack}: Connecting Slack Teams to Shiny Apps
2. Potomac D
11:10am EDT
Enterprise-Level Data Science Success
3. Cherry Blossom
leafdown: Interactive multi-layer maps in Shiny apps
2. Potomac D
11:30am EDT
Cross-Industry Anomaly Detection Solutions with R and Shiny
3. Cherry Blossom
Running Shiny without a server
1. Potomac C
11:35am EDT
Visualizing distributions and uncertainty using ggdist
2. Potomac D
11:40am EDT
The Future of missing data
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
Birds of a Feather Lunch - Variegated Groups
5. Maryland
1:30pm EDT
Cultivating Your Own R Ecosystem as a Solo Contributor
4. National Harbor 10+11
Model Migration: from Excel to R
1. Potomac C
A new way to build your Shiny app's UI
2. Potomac D
1:50pm EDT
Demystifying the art of creating custom libraries for your organization
4. National Harbor 10+11
Tidy Transit: Real Life Data Modeling for Public Transportation
1. Potomac C
2:10pm EDT
Creating a Design System for Shiny and RMarkdown
2. Potomac D
2:30pm EDT
Dashboard-Builder: Building Shiny Apps without writing any code
2. Potomac D
3:20pm EDT
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
3:40pm EDT
Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
3. Cherry Blossom
4:30pm EDT
Data science training in communities with limited technology resources and opportunities
0. Potomac A+B
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rstudio::conf(2022)
America/New York
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Gaylord National, Forest Heights, MD, USA
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Chesapeake
Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
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Maryland 1, 2, & 3
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Maryland 4, 5, & 6
Maryland 6
National Harbor 12+13
National Harbor 2
National Harbor 3
National Harbor 4+5
National Harbor 6+7
Filter By Type
Keynote
Meal
Social
Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
Workshop
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