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CCT Data Science
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Добавлен 8 дек 2020
This channel hosts videos produced by the University Of Arizona Data Science Team for the Division of Agriculture, Life and Veterinary Sciences, and Cooperative Extension. Mostly our workshops, tutorials, and talks.
Workshop Wednesdays August 2024 - Creating a Lab Group Handbook with Quarto
Date: 2024-08-29
Instructor: Eric Scott
Description: A lab handbook is a living document that outlines the group's philosophy, policies, expectations and "institutional knowledge". Having a handbook for your lab group can help get new members onboarded quicker, empower lab members navigating difficult situations, and improve equity in your lab (Tendler et al. 2023). In this workshop, you'll create your own searchable lab group handbook/wiki with Quarto. You'll learn the basics of GitHub, markdown, and Quarto, and be guided through customizing a template book to make it your own. This workshop is open to anyone, but will be especially useful for current PIs or graduate students or postdocs p...
Instructor: Eric Scott
Description: A lab handbook is a living document that outlines the group's philosophy, policies, expectations and "institutional knowledge". Having a handbook for your lab group can help get new members onboarded quicker, empower lab members navigating difficult situations, and improve equity in your lab (Tendler et al. 2023). In this workshop, you'll create your own searchable lab group handbook/wiki with Quarto. You'll learn the basics of GitHub, markdown, and Quarto, and be guided through customizing a template book to make it your own. This workshop is open to anyone, but will be especially useful for current PIs or graduate students or postdocs p...
Просмотров: 147
Видео
Intermediate ggplot2 series 2024 Part 2 - Effective Data Communication With ggplot2
Просмотров 1942 месяца назад
Date: June 13, 2024 Instructors: Devin Bayly and Renata Diaz Description:In this session, we will introduce major principles of effective data visualization and then cover how to implement these principles in your plots with ggplot2.
Intermediate ggplot2 series 2024 Part 3 - Exploring The Wide World of ggplot2 Extensions
Просмотров 4712 месяца назад
Date: June 20, 2024 Instructors: Eric Scott, Renata Diaz, Kristina Riemer Description: There are over 100 packages that extend the functionality of ggplot2 to allow you to make just about any data visualization you can think of! In this workshop we’ll cover a few of our favorite extensions, such as for multi-panel figures and animating visualizations, and show you how to find the ggplot2 extens...
Intermediate ggplot2 series 2024: Part 1-Foundations of ggplot2
Просмотров 3813 месяца назад
Date: June 6, 2024 Instructor: Eric Scott Description: In this workshop you’ll gain a better understanding of the “grammar of graphics”-the theory underlying many data visualization tools, including ggplot2. Using practical examples, you’ll learn how understanding the grammar of graphics can help you build more creative, complex, information-rich visualizations.
Workshop Wednesdays April 2024: Wrangling larger than memory data in R
Просмотров 5884 месяца назад
Date: April 24, 2024 11-1 AZ time Instructor: Renata Diaz Presented to: University of Arizona ALVSCE researchers Description: R is a powerful tool for data wrangling, but can slow down or outright crash if your dataset exhausts your available computer memory. This workshop will cover new tools that will let you continue to use familiar data wrangling tools in R with larger-than-memory data, inc...
Create a Survey123 Survey Online
Просмотров 255 месяцев назад
Describes how to create a new Survey using the online editor. Covers different options and things to look out for
Workshop Wednesdays February 2024: Customizable Resumes with R Tools
Просмотров 2565 месяцев назад
Date: February 28, 2024 11am - 1pm Instructors/helpers: Kristina Riemer, Eric Scott Presented to: University of Arizona ALVSCE researchers Description: Learn how to create and customize your CV / resume using R Markdown templates. From this workshop, you will become familiar with the options in R for making resumes and come away with one with your own information. While previous experience with...
Workshop Wednesdays January 2024 - Demystifying APIs for Researchers
Просмотров 1807 месяцев назад
A wide variety of data shared on the web (including spatial data, census data, 'omics data, bibliometric data, and more!) are available through some web API ("Application Programming Interface"). In this workshop you'll learn what an API is, how to access data using APIs, and how to write R code to automate downloading data from APIs using the httr2 package. Slides: cct-datascience.quarto.pub/d...
Workshop Wednesdays December 2023 - Sharing your research with Quarto reports
Просмотров 5079 месяцев назад
Date: December 6, 2023, 11am-1pm AZ time Instructor: Renata Diaz Description: Quarto documents allow you to interweave code, text, figures, and more within a single beautifully-formatted document. This workshop will teach you how to use Quarto to document your research and share it publicly or privately. If you already use RMarkdown, we will cover the key updates in moving from RMarkdown to Qua...
Workshop Wednesdays August 2023: Making professional websites with Quarto & RStudio
Просмотров 1,3 тыс.Год назад
Date: August 23, 2023 11am - 1pm AZ Instructor: Kristina Riemer Description: Professional websites are a useful way to connect and share your work with others. While there are a lot of tools available to create websites, we will show you how to create yours with Quarto. Quarto is a free scientific and technical publishing system for creating documents, presentations, and websites. This platform...
Summer Workshop Series: Exploring the Wide World of ggplot2 Extensions
Просмотров 587Год назад
Date: June 26, 2023 Instructors: Eric Scott & Kristina Riemer There are over 100 packages that extend the functionality of `ggplot2` to allow you to make just about any data visualization you can think of! In this workshop we’ll cover a few of our favorite extensions and show you how to find the `ggplot`2 extension that meets your data visualization needs. Slides: cct-datascience.quarto.pub/exp...
Summer Workshop Series: Crafting Publication Quality Data Visualizations With ggplot2
Просмотров 1,7 тыс.Год назад
Date: June 12, 2023 Instructor: Eric Scott If you know how to make basic plots with ggplot2, but struggle to add on finishing touches like specifying colors, customizing axes, adding text to plots, and creating multi-panel figures, then this workshop is for you! Slides: cct-datascience.quarto.pub/ggplot2-part2-slides/
Summer workshop series: Understanding the foundations of 'ggplot2'
Просмотров 855Год назад
Date: June 5, 2023 Instructor: Jessica Guo Helpers: Eric Scott and Kristina Riemer Presented to: ALVESCE researchers Description: In this workshop you'll gain a better understanding of the "grammar of graphics"-the theory underlying the `ggplot2` package. Using practical examples, you'll learn how understanding the grammar of graphics can help you build more creative, complex, information-rich ...
Workshop Wednesdays March 2023: Combining datasets using 'dplyr'
Просмотров 95Год назад
Date: March 29, 2023 Instructor: Jessica Guo Helpers: Eric Scott and Kristina Riemer Presented to: ALVESCE researchers Description: Ever need to combine related tables or collate data from multiple sources? Attend our hands-on introduction to using the 'dplyr' join functions and demonstration of a new type of join. Familiarity with R and tidyverse is recommended. Slides: viz.datascience.arizona...
Workshop Wednesdays February 2023: Multivariate Statistics: Using the Right Tool for the Job
Просмотров 188Год назад
Eric discusses the difference between unsupervised and supervised (AKA "unconstrained" and "constrained") multivariate analyses and when to use them. He then walks us through a worked example in R with the {ropls} package.
Using the {pins} package to share datasets at University of Arizona
Просмотров 187Год назад
Using the {pins} package to share datasets at University of Arizona
Workshop Wednesdays "January" 2023: Basics of regex: how to extract information from text with regex
Просмотров 53Год назад
Workshop Wednesdays "January" 2023: Basics of regex: how to extract information from text with regex
Workshop Wednesday December 2022: Managing complicated research workflows in R with {targets}
Просмотров 543Год назад
Workshop Wednesday December 2022: Managing complicated research workflows in R with {targets}
Workshop Wednesdays October 2022: Creating personal websites with Quarto
Просмотров 986Год назад
Workshop Wednesdays October 2022: Creating personal websites with Quarto
Demo: How to quickly set up a new R package with {usethis}
Просмотров 1 тыс.Год назад
Demo: How to quickly set up a new R package with {usethis}
Workshop Wednesdays September 2022: Demystifying APIs For Scientists
Просмотров 70Год назад
Workshop Wednesdays September 2022: Demystifying APIs For Scientists
Workshop Wednesdays August 2022: Data Validation in Excel and R
Просмотров 572 года назад
Workshop Wednesdays August 2022: Data Validation in Excel and R
Workshop Wednesdays June 2022: Principles of Tidy Data & Data Management
Просмотров 552 года назад
Workshop Wednesdays June 2022: Principles of Tidy Data & Data Management
Workshop Wednesdays April 2022: Dates and times in R
Просмотров 642 года назад
Workshop Wednesdays April 2022: Dates and times in R
Workshop Wednesdays March 2022: Publishing Research as Reports with R Markdown
Просмотров 512 года назад
Workshop Wednesdays March 2022: Publishing Research as Reports with R Markdown
Workshop Wednesdays December 2021: Time series analysis with R
Просмотров 1312 года назад
Workshop Wednesdays December 2021: Time series analysis with R
Creating a geojson file of geospatial polygons
Просмотров 4462 года назад
Creating a geojson file of geospatial polygons
Workshop Wednesdays October 2021: Publishing Reports Using R and R Markdown
Просмотров 1162 года назад
Workshop Wednesdays October 2021: Publishing Reports Using R and R Markdown
Fantastic presentation Dr Scott - thank you for sharing your expertise and template
Glad it was helpful!
Excellent
Really handy..thanks
thank you for the great study materials, I want to remind you that we don't see the 2nd part of this series, didn't uploaded to RUclips thank you for everything
Glad that these videos are useful for you! We should be putting the second part up soon.
@@cctdatascience2556 thank you.🙏
@@mjacfardk the video is now up and public here! ruclips.net/video/wxDKpNW9SN0/видео.htmlsi=13htUXAYFpr0ftXQ
@@cctdatascience2556 thank you
Thank you for sharing this video, as well as the others. Even though I am far away, I am here in the interior of Brazil, the videos have excellent quality and clarity and are very helpful for those who seek to delve deeper into R-related topics!
38:00 It is not better to change anything in the data. Make your data great and then do not touch it ever again. If you want to change anything in a plot, do it in the plotting function. That way, when you need to switch between your first language and English, you always know where to to that and you know, that you do not have to adjust any other code to your plot adaptation.
Great!!
Glad you found it useful!
Latex can generate these documents readily. The code is a different matter. Quarto is basically an extension of RMarkdown to include LaTeX type document formatting. This is something that the author of TeX - Donald Knuth - attempted to do years ago but the conditions were not right.
Quarto is built on pandoc (which uses LaTeX to render PDFs) like RMarkdown, and is heavily inspired by RMarkdown, but it's different in that it is a command-line utility, not an R package
"scientific" seems a bit limiting. Quarto can be used by anyone. Unless of course everything is now "science".
Good point! There was a great talk at posit::conf about this from a journalist who learned Quarto to create an online publication! Quarto is for everyone
Really helpful tutorial. I really liked the emphasis on the process for figuring out how to change a particular element rather then a long list of how to change each element. One tip that people might find helpful. There is a Rstudio addin called datapasta which easily converts the list of colour hex codes captured in the wild into an R vector with quotation marks, commas etc. Saves so much tedious editing.
Glad it was helpful! The datapasta package is indeed magical and would have been helpful here. Thanks for the tip!
Thank you!
No problem! Glad it was helpful
Love this! Thank you for sharing!
Glad you liked it. Just trying to spread the Posit Connect love!
Very intuitive tutorial. Thanks for sharing!
Glad it was helpful!
Very clear, thanks a lot.
Awesome, glad you liked it!
You need to add narration to your videos. I always click away from tutorials that have no narration. Sorry.
Will do, thank you for the feedback!