talk-data.com

Join R-Ladies Ottawa for a casual evening of programming on Tuesday, January 27th. We'll be participating in TidyTuesday, a weekly data visualization challenge organized by the R for Data Science community.

What is TidyTuesday?

Every week, a new dataset is posted online on the TidyTuesday GitHub repo, and folks from around the world create data visualizations using the dataset. It's an opportunity to put your programming skills into practice using real-world data in a way that's fun! It's also a great way for everyone to learn from each other, by sharing their visualizations and code.

What will the dataset be?

Even we don't know that (yet)! We'll have to wait until the day before the event to know what data we'll be working with. If you're interested in seeing some past datasets, take a look at the examples below, or visit the TidyTuesday GitHub repo to see all of the datasets dating back to 2018.

Examples from past TidyTuesdays:

• Donuts, Data, and D'oh - A Deep Dive into The Simpsons
• Pokemon
• What have we been watching on Netflix?

Do I have to use R?

No! You can use any programming language or visualization software that you want. In fact, Python users from around the globe participate in "TyDyTuesday" on a weekly basis.

Who is this event for?

No previous programming experience is required to participate, and we'll have experienced programmers in the room who can help you get started (or unstuck), if needed.

...But if you want to get the most out of the event, a good way to prepare is to watch the recording of the introduction to data visualization workshop we hosted back in 2024. :)

What should I bring?

• Please bring a laptop so you can code along. We recommend that you have RStudio or another IDE (such as VS Code or Positron) installed ahead of time, but we can help you get one installed if needed!
• Come ready to learn, share, and contribute to a safe and welcoming community!

How will this event work?

• First few minutes of the event: Introductions, and taking a look at the dataset together as a group.
• Time to create a data visualization using the language or software of your choice, either on your own or with a (new) friend! Grab a free snack while you're at it :)
• Last \~30 minutes of the event: Show and tell session for anyone who would like to share their creation with the group.

What else do I need to know?

This event (like all R-Ladies events) is totally FREE to attend.

The event will take place at Bayview Yards, which is located just a few steps away from the Bayview O-Train station. There is also a free parking lot available for those who are driving. You can find us in the "Training Room", which is on the second floor of the Bayview Yards building.

This is an in-person event with limited space! Please only RSVP if you are able to attend in-person!

***Please note that the mission of R-Ladies is to increase gender diversity in the R community. This event is intended to provide a safe space for women and gender minorities. We ask for male allies to be invited by and accompanied by a woman or gender minority.***

We’re grateful to be part of the Bayview Meetups initiative and extend our thanks to Bayview Yards for generously providing the venue space.

Simplify stats and learn how to graph, analyze, and interpret data the easy way Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by learning the basics of statistics and R, calculate descriptive statistics, and use inferential statistics to test hypotheses. Then, visualize it all with graphs and charts. This Dummies guide is your well-marked path to sailing through statistics. Get clear explanations of the basics of statistics and data analysis Learn how to analyze and visualize data with R, step by step Create charts, graphs, and summaries to interpret results Explore hypothesis testing, and prediction techniques This is the perfect introduction to R for students, professionals, and the stat-curious.

Join us for "Setting up R/RStudio Environment", the second session in our "From Zero to Hero in R" series, featuring presenters Arnisa Sokoli and moderator Ledja Kasmollari. After kicking off our "From Zero to Hero in R" series with an introduction to R and its role in Data Science, it's time to get hands-on! In this second session, we’ll guide you step by step through setting up your R and RStudio environment so you can start coding with confidence.

💡 What You’ll Learn:

✅ Installing R and RStudio ✅ Navigating the RStudio interface ✅ Installing, updating, and managing libraries ✅ Writing your first R scripts ✅ Hands-on exercises to solidify your learning

Whether you’re completely new to R or need a refresher, this session is designed to help you set up your workspace efficiently and get comfortable with the basics. Bring your laptop, follow along, and let’s start coding! 💻✨

👉 Save your spot now on Meetup and get the registration link! ______ Bashkohu me ne për "Konfigurimin e R/RStudio", sesionin e dytë të serisë "Nga Zero në Hero në R", me prezantuese Arnisa Sokoli dhe Ledja Kasmollari. Pas nisjes së serisë "Nga Zero në Hero në R" me një hyrje në R dhe rolin e tij në Shkencën e të Dhënave, tani është koha për praktikë! Në këtë sesion të dytë, do t’ju udhëzojmë hap pas hapi për të konfiguruar mjedisin tuaj R dhe RStudio, në mënyrë që të filloni të programoni në R.

💡 Çfarë do të mësoni:

✅ Instalimi i R dhe RStudio ✅ Navigimi në ndërfaqen e RStudio ✅ Instalimi, përditësimi dhe menaxhimi i librarive ✅ Shkrimi i skriptit tuaj të parë në R ✅ Ushtrime praktike për të forcuar njohuritë tuaja

Pavarësisht nëse jeni fillestar ose keni nevojë për një përmbledhje, ky sesion është krijuar për t’ju ndihmuar të konfiguroni ambientin tuaj në mënyrë efikase dhe të njiheni me bazat. Merrni laptopin tuaj, ndiqni hap pas hapi dhe le të fillojmë me programimin! 💻✨ 👉 Rezervo vendin tënd tani në Meetup dhe merr linkun e regjistrimit!

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.

Never save report_fertig_fertig_letzte-version.Rmd file again. In this tutorial you will learn how to use Git to track your work and collaborate with others and your future self.

Materials: https://paocorrales.github.io/git-developing-software-together/ Preparation: https://paocorrales.github.io/git-developing-software-together/preparation.html

About the Speaker: Elio Campitelli has a Ph.D. from Universidad de Buenos Aires in atmospheric sciences, where they studied the large-scale circulation of the Southern Hemisphere and now studies tropical influences on Antarctic sea ice at Monash University. They also taught Introduction to Programming, and Visualization of Information at Universidad Nacional Guillermo Brown and is a The Carpentries certified instructor. They are an active member of the R community, and maintains several open-source R packages (e.g., ggnewscale; metR).

Do you want to work with R but have no idea where to start? Are you intimidated by the idea of learning a programming language? Have you always been interested in R but found the amount of online resources overwhelming?

R-ladies Amsterdam is hosting a beginner's event to give you a gentle introduction to the R programming language. This event will be an in-person workshop at the University of Amsterdam. We will explain some basic concepts of R and run code together. You get the opportunity to ask questions and work together with other people who are learning R. We will also provide some snacks :)

Itinerary: 18.30 - 18.45 Welcome 18.45 - 20.30 Workshop 20.30 - 21.00 Networking

We kindly ask you to bring your own laptop and install R and RStudio before you arrive! You can find instructions on how to do so here: https://posit.co/download/rstudio-desktop/

Data Science Fundamentals with R, Python, and Open Data Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers’ active learning. Each chapter presents one or more case studies. Written by a highly qualified academic, Data Science Fundamentals with R, Python, and Open Data discuss sample topics such as: Data organization and operations on data frames, covering reading CSV dataset and common errors, and slicing, creating, and deleting columns in R Logical conditions and row selection, covering selection of rows with logical condition and operations on dates, strings, and missing values Pivoting operations and wide form-long form transformations, indexing by groups with multiple variables, and indexing by group and aggregations Conditional statements and iterations, multicolumn functions and operations, data frame joins, and handling data in list/dictionary format Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to computer science, and medical fields using stochastic and quantitative models.

As R users, we often read in data directly from files, such as .csv files. However, developing an understanding of SQL gives us an edge when working with big data, as we can connect to databases directly from R, pulling in only the bits that we need for analysis and saving memory. SQL can also be used to efficiently perform simple data manipulation tasks like sorting, filtering, and aggregation on large datasets, which would take significant computational resources in R.

In this RLadies workshop we will run through some basic SQL queries that can be used to retrieve and filter tables from databases, and learn a little bit about how relational databases work. We will then look at how to write and run SQL queries directly from R, and some use cases for this.

In order to fully participate in this workshop, please make sure you have R and RStudio installed on your laptop, and make sure you have the package ‘DBI’ installed by running `install.packages("DBI")` before the workshop. We will use this package to connect to a SQL database via R.

After the workshop, we will have ample time for networking and chatting over some snacks and drinks (courtesy of the Software Sustainability Institute).

Chloe Brook is a Data Science Applications Consultant at EPCC, University of Edinburgh. Having studied Biochemistry at university, she is keen to enthuse others who haven’t come directly from computer science backgrounds about the joys of coding and data. She is also an online tutor alongside her day job, and enjoys encouraging people to believe in their ability to learn and grow!

To complete topics that we did not manage to fit into the first workshop, we will host the second part of the Introduction to R Workshop in our next Meetup. This time we will cover:

• Reading in data
• Basic data visualization
• R packages
• R Markdown for writing reports

The workshop is open to everyone, in particular also if you did not make it to the first part! To catch up you can look at the first few sections of the workshop material prepared by Pia: Intro to R (up to Data Structures) or you could read through the Getting Started section of https://moderndive.netlify.app/1-getting-started.html

As before, we recommend you bring your own laptop where you have R and RStudio installed (https://cran.r-project.org/ and https://www.rstudio.com/products/rstudio/download/). In case you want to install Rmarkdown you can follow the instructions at https://bookdown.org/yihui/rmarkdown/installation.html

Join us on Tuesday, February 27th for an intro to R night! Please note our location for this meetup has changed to:

Room 189 550 Rue Sherbrooke O Montréal, QC H3A 1B9

Agenda:

• Settling in and and request for talks
• Speaker
• Networking / practical coding time

Topic: In this session, we will first discuss how to get started in R language for new users and paths to careers in coding. We will then learn about the basics of R language and how to use RStudio integrated development environment (IDE). We will learn how to import and do basic manipulations of data sets, and how to then visualize these datasets in graphs using ggplot2 package. Feel free to bring your own datasets to test out! Toy datasets will also be provided through our Github page.

There will be pizza!!

What to bring: Bring your laptop if you'd like to follow along with the examples. We recommend installing the latest version of R and RStudio before you arrive.

Other: R-Ladies events always have been and will always be free to attend! RSVPs are not required, but do help us plan space requirements. We would like to thank the Quantitative Life Sciences department at McGill University for hosting this session!

Questions? Please comment or message the organizers with any questions.

Join us for a 3-part workshop series meant to introduce you to R and RStudio. We will walk through the basics of how to handle data in R and how you can create data visualizations!

Please note: There is one meetup link per workshop, please register for each workshop separately.

1. Introduction to R and RStudio Date: January 25th, 2024 at 12:00-1:00pm

In this session, Reiko will go through R vocabulary; creating clear, organized scripts; using GitHub repositories for sharing scripts; creating a project; importing data; and troubleshooting.

2. Data visualization (Part I) Date: February 1st, 2024 at 12:00-1:00pm

In this session, Reiko will introduce R Markdown and the package ggplot2. You will see how to create the following data visualizations:

• histogram
• scatter plot
• line plot
• bar plot

3. Data visualization (Part II) Date: February 22nd, 2024 at 12:00-1:00pm

In this session, Reiko will continue the topic of data visualizations. Using bar plots, you will see how to change colors and overall look and feel of a plot as well as exploring more plot types and how to save our masterpieces!

Dear all,

The goal of our next meetup is for our attendees to become acquainted with R and R Studio in order to start their data analytics journey.

We'll cover:

• Brief intro to R as a programming language
• Functions, data structures, data types
• Reading data into R
• Basic data visualization in R
• R packages
• Examples and use cases

If time allows we will briefly introduce to you Rmarkdown and give a glimpse into how to make your analysis more reproducible.

We recommend you bring your own laptop where you have R and RStudio installed (https://cran.r-project.org/ and https://www.rstudio.com/products/rstudio/download/). In case you want to install Rmarkdown you can follow the instructions at https://bookdown.org/yihui/rmarkdown/installation.html

See you soon!

Join us for a 3-part workshop series meant to introduce you to R and RStudio. We will walk through the basics of how to handle data in R and how you can create data visualizations!

Please note: There is one meetup link per workshop, please register for each workshop separately.

1. Introduction to R and RStudio Date: January 25th, 2024 at 12:00-1:00pm

In this session, Reiko will go through R vocabulary; creating clear, organized scripts; using GitHub repositories for sharing scripts; creating a project; importing data; and troubleshooting.

2. Data visualization (Part I) Date: February 1st, 2024 at 12:00-1:00pm

In this session, Reiko will introduce R Markdown and the package ggplot2. You will see how to create the following data visualizations:

• histogram
• scatter plot
• line plot
• bar plot

3. Data visualization (Part II) Date: February 22nd, 2024 at 12:00-1:00pm

In this session, Reiko will continue the topic of data visualizations. Using bar plots, you will see how to change colors and overall look and feel of a plot as well as exploring more plot types and how to save our masterpieces!

Join us on Tuesday, January 30th for our first meetup of 2024! Please note our location for this meetup has changed to:

Room 189 550 Rue Sherbrooke O Montréal, QC H3A 1B9

Agenda:

• Settling in and and request for talks
• Speaker
• Networking / practical coding time

Topic: In this session, we will first go over the basics of the Python Programming Language. Next, we will learn to use Python modules for efficient data wrangling and visualization. And finally, we will cover the different methods to implement Python code into RStudio.

What to bring: Bring your laptop if you'd like to follow along with the examples. We recommend installing the latest version of R and RStudio before you arrive. Installation of Python is highly recommended for practicing Python code during this session's tutorial.

Other: R-Ladies events always have been and will always be free to attend! RSVPs are not required, but do help us plan space requirements. We would like to thank the Quantitative Life Sciences department at McGill University for hosting this session!

Questions? Please comment or message the organizers with any questions.

Join us for a 3-part workshop series meant to introduce you to R and RStudio. We will walk through the basics of how to handle data in R and how you can create data visualizations!

Please note: There is one meetup link per workshop, please register for each workshop separately.

1. Introduction to R and RStudio Date: January 25th, 2024 at 12:00-1:00pm

In this session, Reiko will go through R vocabulary; creating clear, organized scripts; using GitHub repositories for sharing scripts; creating a project; importing data; and troubleshooting.

1. Data visualization (Part I) Date: February 1st, 2024 at 12:00-1:00pm

In this session, Reiko will introduce R Markdown and the package ggplot2. You will see how to create the following data visualizations:

• histogram
• scatter plot
• line plot

• bar plot

• Data visualization (Part II) Date: February 22nd, 2024 at 12:00-1:00pm

In this session, Reiko will continue the topic of data visualizations. Using bar plots, you will see how to change colors and overall look and feel of a plot as well as exploring more plot types and how to save our masterpieces!

Quarto is a new open-source scientific and technical publishing system that Posit developed, extending the capabilities of its predecessor R Markdown. It is a powerful tool that may be used in both RStudio and Jupyter Notebooks for combining narrative text with code for reports, academic articles, books, web pages, and more.

To participate follow the link that will appear when you RSVP, click on the link and register to receive the event zoom link by email.

This workshop is a short version of the carpentry-style “Introduction to Reproducible Publications with RStudio” including lecture and demos alternating with hands-on exercises, so by the end of the workshop, attendees will have “authored” a reproducible paper of their own with the data and narrative provided.

Specifically, we will cover an introduction to Quarto documents, writing and styling narrative text, and integrating R code in one seamless, publication-ready document.

For the best experience, it is suggested that attendees have a basic understanding of the RStudio environment before attending the workshop.

To participate follow the link that will appear when you RSVP, click on the link and register to receive the event zoom link by email.

We are so excited to announce our next virtual meetup, which will serve as an introduction to reproducible publications with Quarto (https://quarto.org/). We are happy to collaborate with R-Ladies Rome (https://www.meetup.com/rladies-rome/) to organize this meetup. 🥳

Join us for an exciting workshop with Torin White on January 16 at 6 pm CET.

In 2024, many exciting opportunities await you, featuring a diverse array of meetups dedicated to enhancing your skills within our community. ✨

Description:

Quarto is a new open-source scientific and technical publishing system that Posit developed, extending the capabilities of its predecessor R Markdown. It is a powerful tool that may be used in both RStudio and Jupyter Notebooks for combining narrative text with code for reports, academic articles, books, web pages, and more. This workshop is a short version of the carpentry-style “Introduction to Reproducible Publications with RStudio” including lecture and demos alternating with hands-on exercises, so by the end of the workshop, attendees will have “authored” a reproducible paper of their own with the data and narrative provided. Specifically, we will cover an introduction to Quarto documents, writing and styling narrative text, and integrating R code in one seamless, publication-ready document. For the best experience, it is suggested that attendees have a basic understanding of the RStudio environment before attending the workshop.

If you are up for joining us, please register for the workshop here 🔗 https://us06web.zoom.us/meeting/register/tZYucOmhqzguH9b5MAW51nKgx-9mAvmMKVLn

We are very much looking forward to seeing many of you!

Join us for a fun workshop that will introduce you to Quarto - an exciting tool for creating reports and websites

Quarto is an open-source scientific and technical publishing system, developed by Posit (formerly RStudio). By combining narrative text, code, images, and tables, Quarto allows you to produce elegantly formatted output that is fully reproducible. Quarto is capable of embedding code written in R, Python, Julia, and Observable JS (for this talk we’ll focus on R). It supports dozens of static and dynamic output formats including HTML, PDF, MS Word, slides, dashboards, scientific articles and more. In this talk, we’ll discuss what Quarto is and how it differs from R Markdown, demonstrate how to make simple documents, and showcase a few features of Quarto that make it incredibly useful. In this session, you will learn how to:

• create documents in Quarto that combine R code with text, images, and plots.
• make use of Quarto options to easily switch between output formats such as PDF, MS Word, and HTML
• parameterise reports to quickly create multiple copies of a report

**Please bring a laptop so you can fully participate in the workshop.**

After the workshop, we will have ample time for networking and chat over some snacks and drinks (courtesy of the Software Sustainability Institute).

Nicola is a Lecturer in Health Data Science, based at Lancaster University.

***********************IMPORTANT***********************

DATE: TUESDAY, NOVEMBER 28th

LOCATION: ROOM 189, 550 RUE SHERBROOKE OUEST (H3A 1B9), IN DOWNTOWN MONTRÉAL

***********************IMPORTANT***********************

Details

Join us on TUESDAY November 28th for our final meetup of the year!

Agenda:

• Settling in and and request for talks
• Speaker
• Networking / practical coding time

Topic: This month we'll be discussing commonly used base R commands and an introduction to the R package ggplot2 for visualizing data.

This session, we will work through exercises related to:

• essential commands in base R (getting started, handling data, etc.)
• visualizing data in graphs using ggplot2
• exploring resources outside of Rstudio/Posit to support your R learning

While this is a more introductory R meetup, all levels are welcome! Experienced R-users are encouraged to help new R users!

What to bring: Bring your laptop if you'd like to follow along with the examples. We recommend installing the latest version of R and RStudio before you arrive.

Other: R-Ladies events always have been and will always be free to attend! RSVPs are not required, but do help us plan space requirements. Please note have changed our location to McGill campus at 550 rue Sherbrooke for this meetup, with space generously provided by the Quantitative Life Sciences department. See above for location details.

Questions? Please comment or message the organizers with any questions.

R-Ladies Baltimore (Bmore) is kicking off an exciting series of meetups starting in Fall 2023! For those new to R-Ladies, R-Ladies Baltimore (Bmore) is the local Baltimore chapter for the larger R-Ladies global organization (rladies.org) to promote gender diversity in the R community.

Our first meetup this fall will be an in person event on Tuesday September 26, 2023 from 3-4:30pm (615 N. Wolfe Street, Room W2008). Coffee, tea and cookies will be provided. Stephanie Hicks will kick us off with an introduction to data wrangling using packages from the tidyverse with a fun dataset of penguins!

The plan is to be entirely in person (no zoom option) for this event, but we plan to have both types of events (either in person or entirely on zoom) throughout the year (just check the schedule).

WHO is this for?

• If you are new to R and want to learn about packages to wrangle messy data?
• If you know R, but want to expand your knowledge about tidyverse?
• If you think penguins are awesome, and need more penguins in your life!

If any/all of this is true, this event might be for you!

AGENDA

• 3:00–3:15 Meet & Greet \| 🍪 \| Set-up
• 3:15–3:25 Who we are \| Announcements \| What's next
• 3:25–4:10 Workshop: Intro to data wrangling in R with penguins
• 4:10–4:30 Networking \| Any more Qs? \| How to reach us to continue this conversation!

To benefit most from this workshop

1. please bring your laptop with
2. pre-installed R & RStudio (https://www.rstudio.com/products/rstudio/)
3. tidyverse package (https://www.tidyverse.org/)
4. palmerpenguins dataset package (installation: https://cran.r-project.org/web/packages/palmerpenguins/

Having trouble with installation & set-up? Ping us on Slack!

LOCATION: Johns Hopkins School of Public Health 615 N. Wolfe Street Baltimore, MD 21205

Room W2008 (2nd floor)

Instructions upon arrival: When you arrive at the front desk, inform them you are headed to an R-Ladies event in W2008 and they will give you a temporary badge.

FAQ:

Q: Are men welcome to attend R-Ladies events?

A: Yes, men are welcome at this event. Our mission is to encourage more women and non-binary individuals to get involved in the R community. However, we ask that cis men come as guests of women and gender minorities to our events to promote a sense support and encouragement for women and gender minorities in the R community. Please help us by spreading the word about R-Ladies. Please also take the time to review our code of conduct before you attend: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

The term "women and gender minorities" is inclusive of individuals who identify as female (trans and cis), trans-men, non-binary, genderqueer, genderfluid, agender, intersex, and all minority genders).

Important to know:

• If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

Finally, for more information:

• email: [email protected]
• twitter: @RLadiesBmore
• facebook: https://www.facebook.com/RLadiesBmore/
• meetup: https://www.meetup.com/rladies-baltimore/