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All (18)

causal (2)

data (6)

elt (2)

pkgdev (3)

python (1)

rmarkdown (3)

rstats (10)

shiny (1)

workflow (10)

I enjoy sharing ideas, tools, and methods that excite me. Slides and videos from past conference talks are available and embedded in almost all of the posts below. Additional resources may be available upon request if not included online – please don’t hesitate to reach out!

Python Rgonomics

workflow

python

rstats

A survey of modern python tooling that “feels good” to R users

posit::conf(2024)

Data Downtime Horror Stories Panel

data

Panel discussion with Chad Sanderson and Joe Reis, hosted by Monte Carlo Data, on our thorniest brushes with data downtime, leading data teams to tackle data quality at scale with testing, contracts, observability and monitoring, and more.

Monte Carlo Data Panel

Operationalizing Column-Name Contracts with dbtplyr

workflow

rmarkdown

rstats

An exploration of how data producers and consumers can use column names as interfaces, configuations, and code to improve data quality and discoverability. The second half of the talk demonstrates how to implement these ideas with my dbtplyr dbt package.

dbt Labs Coalesce (2021) | NYR (2023) | posit::conf(2023)

Scaling Personalized Volunteer Emails

data

elt

An overview of the data stack used to automate over 50,000 personalized emails to voter turnout volunteers using BigQuery, dbt, Census, and MailChimp

Data for Progress Data Engineering Open Mic (Jun 2023)

Causal Design Patterns

causal

An overview of basic research design patterns in causal inference, modern extensions, and data management strategies to set up a causal inference initiative for success

Data Science Salon NYC (2023) | Pivigo Data Meet-Up (2021) | Toronto Data Workshop (2021)

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2016-2023 Emily Riederer
Licensed under Creative Commons CC BY 4.0

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