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2024 Posit Conference Watch Party with R-Ladies Ottawa

Posit, the company that makes many of the tools you know and love (RStudio, Shiny, the tidyverse, and many more!) hosts an annual conference. This year, the conference took place in Seattle from August 12th-14th. Did you miss the conference, but still want to know what’s new in the world of data science? Look no further – R-Ladies Ottawa is hosting a posit::conf(2024) Watch Party!

This event will take place on October 23rd, from 5:30-7:30pm, at the Ottawa Public Library (Sunnyside branch - Program room 1B). Attendance is FREE and there will be door prizes available to win (see details below)! We’ll watch a few of the most popular talks from this year’s conference and have opportunities to discuss and network. Afterwards, we’ll be heading to a restaurant in the Glebe for anyone who would like to join!

Please note that the mission of R-Ladies is to increase gender diversity in the R community. While our Meetup Group is open to anyone to join, our events are intended to provide a safe space for women and gender minorities. Male allies may attend our in-person events if they are invited by and accompanied by a woman or gender minority.

Door prize giveaway

By attending this event, you’ll have a chance to win a copy of David Keyes’ new book, R for the Rest of Us: A Statistics-Free Introduction, courtesy of NoStarch Press.

Description of the book: “Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more.

Written by the founder of a very popular online training platform for the R programming language!

The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you.”

Free stickers!

Posit has generously donated hex stickers for this event! Everyone who attends will be able to take some home.

Event schedule

5:30pm - 7:00pm - Watch party and discussion (see talk descriptions below!) 7:00pm - Networking and announcement of door prize winner 7:30pm - We’ll be heading to a restaurant in the Glebe, for anyone who would like to join!

The talks we’ll watch:

1. Introducing Positron (Julia Silge) and Exploratory Data Analysis in Python with Positron (Isabelle Zimmerman)

Positron is a next generation data science IDE that is newly available to the community for early beta testing. This new IDE is an extensible tool built to facilitate exploratory data analysis, reproducible authoring, and publishing data artifacts. Positron currently supports these data workflows in either or both Python and/or R, and is designed with a forward-looking architecture that can support other data science languages in the future. In this session, learn from the team building Positron about how and why it is designed the way it is, what will feel familiar or new coming from other IDEs, and whether it might be a good fit for your own work.

2. Closeread: bringing Scrollytelling to Quarto - Andrew Bray

Scrollytelling is a style of web design that transitions graphics and text as a user scrolls, allowing stories to progress naturally. Despite its power, scrollytelling typically requires specialist web dev skills beyond the reach of many data scientists. Closeread is a Quarto extension that makes a wide range of scrollytelling techniques available to authors without traditional web dev experience, with support for cross-fading plots, graphics and other chunk output alongside narrative content. You can zoom in on poems, prose and images, as well as highlighting important phrases of text. Finally, Closeread allows authors with experience in Observable JS to write their own animated graphics that update smoothly as scrolling progresses.

3. GitHub: How To Tell Your Professional Story - Abigail Haddad

GitHub is more than just a version control tool, it's a way of explaining your professional identity to prospective employers and collaborators – and you can build your profile now, before you're looking for new opportunities. This talk is about how to think of GitHub as an opportunity, not a chore, and how to represent yourself well without making developing your GitHub profile into a part-time job. I'll talk about why GitHub adds value beyond a personal website, what kinds of projects are helpful to share, and some good development practices to get in the habit of, regardless of your project specifics.

Nous sommes ravis d’organiser une #Watch #Party virtuelle pour la conférence organisée par Posit qui a eu lieu du 12 au 24 août 2024 à #Seattle 🔗 ​​https://posit.co/conference/.

🎉 Durant cette Watch Party, nous allons regarder les #replays de ces deux présentations sélectionnées de la conférence, le lundi 21 octobre 2024 à partir de 19h00 CEST :

1. Introducing Positron, a new data science IDE, présenté par Julia Silge, Engineering Manager et Tom Mock, Product Manager, Posit, PBC. “Positron is a next generation data science IDE that is newly available to the community for early beta testing. This new IDE is an extensible tool built to facilitate exploratory data analysis, reproducible authoring, and publishing data artifacts. Positron currently supports these data workflows in either or both Python and/or R, and is designed with a forward-looking architecture that can support other data science languages in the future. In this session, learn from the team building Positron about how and why it is designed the way it is, what will feel familiar or new coming from other IDEs, and whether it might be a good fit for your own work.”
2. Quarto, AI, and the Art of Getting Your Life Back, présenté par Tyler Morgan-Wall, Research Staff Member, Institute for Defense Analyses. “Tired of endless server issues and maintenance headaches? Want to reclaim your time for coding, writing, and creating? Join me as I share my journey of switching from the server-based headaches of Wordpress to Quarto, with a little help from AI. In this talk, I’ll describe the simple trick I used to convert an existing Wordpress blog—complete with custom scripts, styles, and beautiful 3D dataviz content—into a slick Quarto site. I'll then demonstrate some lesser-known features of Quarto to automate deploying a website entirely from a Quarto project file. Finally, I’ll show you how I used AI to customize and style my new Quarto site, and provide several useful strategies to employ if you decide to get some help from AI on your own Quarto journey.”

Chaima Boughanmi partagera également son expérience personnelle de la conférence ainsi que ses impressions. Après chaque présentation, une discussion ouverte sera organisée.

​​L'inscription est désormais ouverte via ce lien 🔗 https://us06web.zoom.us/meeting/register/tZIoduqqrjovHN2Y2jSZoS2uDxLGKMziwWUw.

N'hésitez pas à partager ce meetup avec toute personne qui pourrait être intéressée.

Ne manquez pas l'opportunité d'être parmi les premiers à accéder à des replays de très haute qualité.

On vous attend nombreux pour cette nouvelle Watch Party francophone ! ✨

Please join us July 13th for a virtual seminar on '3 Reasons to use Tidymodels' by Julia Silge!

Modeling and machine learning in R involves a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems. In this talk, we’ll focus on three specific reasons to consider using tidymodels. We will start with model characteristics themselves, move to the wise management of your data budget, and finish with feature engineering.

All members who RSVP and attend the event will be entered into a raffle and 3 winners will be chosen to receive a free eBook or hard copy of Tidy Modeling with R by Julia Silge and Max Kuuhn (2022)

Please join us July 13th for a virtual seminar on '3 Reasons to use Tidymodels' by Julia Silge! Modeling and machine learning in R involves a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems. In this talk, we’ll focus on three specific reasons to consider using tidymodels. We will start with model characteristics themselves, move to the wise management of your data budget, and finish with feature engineering.

All members who RSVP and attend the event will be entered into a raffle and 3 winners will be chosen to receive a free eBook or hard copy of Tidy Modeling with R by Julia Silge and Max Kuuhn (2022)

Zoom link TBA.

External registration required at nyhackr.org.

Following up his previous improv data analysis, David Robinson is at it again with a fresh dataset.

Thank you to Microsoft for hosting us.

Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free.

After the talk we will randomly select two attendees (both in-person and virtual) to receive free tickets to The New York R Conference taking place July 11-14.

About the Talk: The best approach to a technical presentation is careful planning and preparation. But where's the fun in that? In this talk, I'll demonstrate an exploratory data analysis in R on a dataset I've never seen in advance, and which was chosen by a friend for its novelty value. I'll demonstrate the use of tools such as dplyr and ggplot2 for data transformation and visualization, as well as other packages from the tidyverse as they're needed. I'll narrate my thought process to show how a data scientist thinks through a problem, and take suggestions from the audience at key points. This talk is a sequel to my 2019 nyhackr meetup talk.

About David: David Robinson is Director of Data Science at Heap Analytics, where he's helping to build the next generation of product analytics technology. He's the co-author with Julia Silge of the tidytext package and the O'Reilly book Text Mining with R. He also created the broom, fuzzyjoin, and widyr packages, and authored the e-book Introduction to Empirical Bayes. David is passionate about R, statistics, education, live-coding, probability, and his two children.

The venue doors open at 5:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:00 PM America/New_York.

Remember, register at nyhackr.org.

Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people. With this book, you will: Learn the steps necessary to build a model from beginning to end Understand how to use different modeling and feature engineering approaches fluently Examine the options for avoiding common pitfalls of modeling, such as overfitting Learn practical methods to prepare your data for modeling Tune models for optimal performance Use good statistical practices to compare, evaluate, and choose among models

Kyle interviews Julia Silge about her path into data science, her book Text Mining with R, and some of the ways in which she's used natural language processing in projects both personal and professional. Related Links https://stack-survey-2018.glitch.me/ https://stackoverflow.blog/2017/03/28/realistic-developer-fiction/

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document’s most important terms with frequency measurements Explore relationships and connections between words with the ggraph and widyr packages Convert back and forth between R’s tidy and non-tidy text formats Use topic modeling to classify document collections into natural groups Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages