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เข้าร่วมเมื่อ 4 ม.ค. 2019
R-Ladies Dallas July 28, 2021: "Journey through the tidyverse" with Dr. Che Smith
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Session title: Journey through the tidyverse
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Abstract: In a (recent) former life, I taught Data Science and Statistics at Davidson College with R and RStudio as my primary tools. Join me as I reflect on the wins and challenges of using RStudio to teach R applied to data science and statistics, framed in topics related to social justice, inequity, and community.
Bio: Che Smith is a data enthusiast whose career has spanned several industries and specialties. She is currently a Senior Analytics Engineer at Netflix, helping to continuously improve content performance metrics for titles launching on the streaming service. Prior to Netflix, Che taught data science and statistics at Davidson College and also directed a consulting and tutoring lab for the college. By training, Che is a biostatistician, and spent several years working with state and local health departments on using data in innovative ways. A long time R user, Che’s favorite super-package is tidyverse, and she loves to find datasets to wrangle, visualize, and draw insights from.
Twitter: @DrCheSmith
LinkedIn: www.linkedin.com/in/chesmith1/
R-Ladies Dallas chapter: www.meetup.com/rladies-dallas
Session title: Journey through the tidyverse
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Abstract: In a (recent) former life, I taught Data Science and Statistics at Davidson College with R and RStudio as my primary tools. Join me as I reflect on the wins and challenges of using RStudio to teach R applied to data science and statistics, framed in topics related to social justice, inequity, and community.
Bio: Che Smith is a data enthusiast whose career has spanned several industries and specialties. She is currently a Senior Analytics Engineer at Netflix, helping to continuously improve content performance metrics for titles launching on the streaming service. Prior to Netflix, Che taught data science and statistics at Davidson College and also directed a consulting and tutoring lab for the college. By training, Che is a biostatistician, and spent several years working with state and local health departments on using data in innovative ways. A long time R user, Che’s favorite super-package is tidyverse, and she loves to find datasets to wrangle, visualize, and draw insights from.
Twitter: @DrCheSmith
LinkedIn: www.linkedin.com/in/chesmith1/
R-Ladies Dallas chapter: www.meetup.com/rladies-dallas
มุมมอง: 99
วีดีโอ
June 3, 2021 - R-Ladies Dallas: "Latent Profile Analyses using tidyLPA" with Danica Slavish
มุมมอง 3.4K3 ปีที่แล้ว
Session title: Latent Profile Analyses using tidyLPA Abstract: Do adolescents who try alcohol before age 15 have worse health in adulthood than those who try alcohol later in life? Are there different subtypes of COVID-19 symptoms? How do these subtypes predict hospitalization risk? What types of advertisements most strongly predict if someone buys a product? All these questions can be answered...
R-Ladies Dallas 2021-05-11 - "Flexible reproducibility in data workflows" w Brooke Watson Madubuonwu
มุมมอง 543 ปีที่แล้ว
R-Ladies Dallas Meetup: www.meetup.com/rladies-dallas R-Ladies Dallas Twitter: @DallasRLadies Brooke Watson Madubuonwu's Twitter: @brookLYNevery1 Session title: Flexible reproducibility in data workflows Abstract: Sometimes, when data collected for an analysis doesn’t change, the process of tidying is a one-time investment. Other times, raw data changes by the hour or minute, requiring automate...
R-Ladies Dallas April 20, 2021 - "Network Analysis of Political Data" with Dr. Jennifer Victor
มุมมอง 1753 ปีที่แล้ว
Abstract: This brief presentation focuses on workflow priorities and analytical strategies for applying social network tools to political data. Using the example of a working project on political party networks, I show how one can gather campaign finance data and reshape it to construct relational networks between political actors. Using tidyverse packages for management, and network analysis p...
2021-03-16 R-Ladies Dallas: Data Storytelling with Amber Thomas
มุมมอง 973 ปีที่แล้ว
Abstract: At The Pudding, we create data-driven, visual essays. But how do we go from a basic idea all the way to a finished, interactive experience? In this talk, I'll cover where our ideas come from, how we choose which ones to pursue, and our entire process from idea to completion. Bio: Amber is a Senior Journalist Engineer at The Pudding, where her work focuses primarily on communicating co...
R-Ladies Dallas February 15, 2021 - "How to get Rich and Famous with R" with Larry D'Agostino
มุมมอง 313 ปีที่แล้ว
Session title: How to get Rich and Famous with R Abstract: In this talk, Larry will introduce the popular h2o.ai modeling framework and show how you can use it for building and evaluating prediction models. He will also discuss the Numerai Data Challenge and discuss how you can submit your own predictions to Numerai. Bio: Larry is an R enthusiast who founded Dallas R Users over 10 years ago. He...
R-Ladies Dallas March 1, 2021 - Pavitra Chakravarty + Praveena Mathews
มุมมอง 953 ปีที่แล้ว
For the March 1st edition of our R-Ladies Dallas webinar series, we are excited to welcome our very own Pavitra Chakravarty as our guest speaker. Pavitra will introduce the gt package and show how you can easily create beautiful, presentation-ready tables with a few simple lines of code. As a bonus. we will kick off the event with an informative lightning talk about classification and regressio...
R-Ladies Dallas Jan 25, 2021: Reproducible workflows with Dr. Seo-young Silvia Kim
มุมมอง 2724 ปีที่แล้ว
Abstract: College and Ph.D. students who do empirical work often underestimate the problems associated with reproducibility. Certain lessons should be shared for those entering the research phase, which will help not to struggle or waste time later. From setting up an R project to using renv, I discuss some of the most important things that new researchers should be mindful of when starting a n...
R-Ladies Dallas Jan 18, 2021: Data Science Portfolios 101 with Dr. Rachael Tatman
มุมมอง 4914 ปีที่แล้ว
Abstract: In this talk, Dr. Tatman will share tips and tricks for putting together a data science portfolio to help you get hired. She will also share general information about data careers in tech. Bio: Dr. Rachael Tatman is a senior developer advocate at Rasa, where she helps developers use open source software to build great conversational AI projects. Before that she was at Kaggle (part of ...
Great video. Imputation handles the missing values. So for all the missing data it will calculate scores. LPA uses a couple of algorithms but you could also handle missing values with a common package like ‘mice’ before running the model. I like this approach, it’s not so much black box like the kmeans and other clustering…
this is useful. but i don't really understand what CPROB1mean
Really wonderful to see this instructional video!
Great presentation, however the link to the data shown at 26:39 might be broken. It does not link to the dataset.
Nevermind! Just figured out the last digit isn't a "1", it's a lowercase L
Thank you for this! This saved my butt, thanks for posting this!!!!@@teakrose5296
wow! this is useful. do u think R is easier to use than Mplus in LPA? I find it interesting that the tutorial on doing LPA thru MPlus is scarce (in contrast to LCA in MPlus or LPA in R)
dunno, but R is cheaper.
Thanks for sharing this kind of material. It is very useful🤗🙌👍