**¡Llega el Club de Libro: Mastering Shiny!**

**Organizado por R-Ladies Buenos Aires & R en Buenos Aires 🚀**
**📅 Encuentro 4: Miércoles 30 de abril, 18:30-20:00 (UTC-3)**

* **Capítulos a abordar:** Capítulo 6: Layout, themes, HTML
Presentan: [Luis Verde Arregoitia](https://github.com/luisdva/) & [Virginia García Alonso](https://github.com/virginiagarciaalonso)

**¿Querés aprender Shiny en un espacio colaborativo?**
Sumate a este club donde resolveremos ejercicios y debatiremos dudas sobre el libro Mastering Shiny de Hadley Wickham y Garrett Grolemund.
**Link al libro [Mastering Shiny - Hadley Wickham](https://mastering-shiny.org/)**

**¿Cómo funciona?**

* 10 encuentros virtuales de 1:30 hs entre marzo y julio
* Presentaciones sencillas de los capítulos por integrantes de la comunidad
* Resolución grupal de ejercicios
* Grabaciones de las sesiones
* Canal de Slack para dudas y recursos

**No importa si recién estás empezando con Shiny: ¡este club es para aprender juntas!**
**Si te animás a presentar un capítulo, podés hacerlo en este link: [http://tiny.cc/club_de_lectura_shiny](http://tiny.cc/club_de_lectura_shiny)**

**IMPORTANTE**
Para participar seleccioná "Asistiré" en este evento y asegurate de tener instalado Zoom en tu computadora.

**Por razones de seguridad no compartiremos el link para ingresar a Zoom de manera pública.** El mismo día del evento, horas antes enviaremos un mail a través de Meetup a todas las personas que confirmaron asistencia con el link para que puedas unirte a la videollamada.
**SI no lo llegas a recibir el link de zoom por favor comunicate por nuestro canal de slack #mastering-shiny o por mail [renbaires@gmail.com](http://renbaires@gmail.com/) para solucionarlo pronto.**

**¡Te esperamos! 💜💻**

R en Buenos Aires

Andrea Gomez Vargas

Ariana Bardauil

Emanuel Ciardullo

santiago bucciarelli

GRACIELA 

Malena Mendez Isla

Jesica Formoso

daniela zacharias

Monica

Alberti Alejandro Mora

Virginia García Alonso

Nuria Lewczuk

HAROLD FENCO

Hédia Tnani

Driselda Sánchez Aguirre

Gisela Villanueva

Eulios

Laura Misiani

Mauro Crosignani

dparuz

Club de Libro Mastering Shiny: Encuentro 4

Online event

You might have already explored analyzing social media data using professional tools like **SproutSocial, Brand24, or Numerous.AI** (see the reference section of my tutorial). These platforms offer powerful features for monitoring Reddit sentiment, identifying trending topics, and tracking audience engagement.

However, what if I told you that you can achieve similar results completely on your own — **for free**? Yes, it’s true! With just a bit of coding in R and RStudio, you can collect Reddit posts, clean the data, and perform your own sentiment analysis without relying on expensive third-party services.

In this tutorial, I’ll show you how to DIY your own Reddit analysis workflow, helping you build valuable skills while saving money.
Have you watched the new Star Wars series, **Andor** recently? I am planning to watch it in May 2025. Before heading to the theater, I wanted to see what people are saying about it. I show you how Reddit discussions can be used to gauge people’s opinions about Star Wars, particularly focusing on the new episode **Andor**, based on real-time conversations and fan reactions. By cleaning and analyzing this data, we can uncover key themes, sentiment trends, and recurring topics across the Star Wars community.

## For beginner-level R Users

If you have never used R or R Studio before, you might want to visit the first few chapters of the R for Data Science book here for a quick refresher: [https://r4ds.had.co.nz/](https://r4ds.had.co.nz/). Do not worry. R is easy to learn. Once you learn it, you will find it to be useful, as many big or small companies, including Morgan Stanley, Google, and Twitter all use R on a daily basis (naukri 2024).

Central Valley Data Analytics and R Users Meetup Group

zhenning xu

Jonathan Prine

Exploring the New Star Wars Series – Andor Using Reddit Posts

Failing upward with R: Challenges faced and hard truths learned by a small but scrappy data team on their journey to have an impact

With the constant evolution of data science tools and the rapid rise in AI, it's sometimes beneficial--and at times refreshing--to step back and explore how the tools we use, and the ways we work, can have an impact.
So let's step back, revisit some basics, and talk about the fun stuff: workflows, data pipelines, project management, and--most importantly--people.
This talk's aim is to provide an overview of how we--a small but scrappy data team at a public media organization--leverage R and other open source tools to elevate our work and amplify our impact.
Besides hearing about some hard-earned wisdom from utilizing R in industry, you'll get the following by attending this presentation:

* Be introduced to workflows our team uses to stay RAD: Reproducible, Automated, and Documented.
* Observe how our team utilizes R and other open-source tools to find efficiencies and have a bigger impact.
* Commiserate as a community over the hard truths a small data team faces when trying to leverage these tools.
* Be convinced of the impact internal R packages can have on your team's work.
* Discover how tools like Quarto can make your team more human and your communication more effective.

And hey--you might even have a little fun, too! Stay tuned, and whatever you do ... don't touch that dial.

This meeting will be held in the [Center for Brain, Biology & Behavior](https://cb3.unl.edu) (CB3)
on the University of Nebraska-Lincoln city campus. The entrance to CB3 is in the southeast corner of Memorial Stadium between gates 22 and 23. Enter the doors with the NCB3 sign above it, and proceed to the reception where signs will guide you to the meeting room. Public parking is available in the [Stadium Drive Parking Garage](https://maps.unl.edu/SDPG).

In person guests can join us at 3:15pm for snacks. The talk will start at 3:30pm.

Nebraska R User Group

Jeff Stevens

Rachel Urban

dheeraj

Chris Chizinski

Matthew Waite

Daniel Wheaton

Brandi Pessman

Failing Upward with R (Collin Berke)

Center for Brain, Biology & Behavior; University of Nebraska-Lincoln

Join the online Office Hour to

\- discuss how to get started contributing to R
\- get help/feedback on contributions you are working on
\- look at open bugs/work on translations together

R Contributors

Ella Kaye

Heather Turner

R Contributor Office Hour (EMEA/APAC)

Gabriel Becker

R Contributor Office Hour (AMER)

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