• Dashboards and Apps with Shiny (with Mine Çetinkaya-Rundel, Ph.D.)
    For our October meetup, we are delighted to be hosting R-Ladies RTP organizer, Mine Çetinkaya-Rundel, Ph.D.! About the event: Shiny is an R package that makes it easy to build interactive web apps straight from R. With Shiny, you can create standalone apps, embed them in R Markdown documents, build dashboards, and much more. In this workshop we will introduce the basics of building flexdashboards with Shiny components for interactivity, and demo how to transition from building dashboards to standalone apps. Please bring a laptop with you so that you can follow along and work on the exercises sprinkled throughout. About Mine: Mine is an Associate Professor of the Practice at Duke University and a Data Scientist and Professional Educator at RStudio. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.

    Temple University Center City (TUCC)

    1515 Market Street · Philadelphia, PA

    3 comments
  • Learn to make a website with R and blogdown!
    At the September meetup we'll all be making websites with blogdown! First we'll cover some markdown basics and then we’ll build a website live so you can bring your laptops and code along. By the end of the meetup you will have a basic website deployed and customized with your info. Only some basic familiarity with R and RStudio is necessary. Make sure you have RStudio installed with the blogdown package (https://github.com/rstudio/blogdown). Katie Scranton will be leading the meetup. Katie organized the RLadies Los Angeles group before moving back to Philly. www.katiescranton.com (built with blogdown 😉) Make sure to RSVP and bring ID, as access to the building is limited to those on the event list.

    Penn Dental Medicine, Robert Schattner Center

    240 South 40th Street · Philadelphia, PA

  • Data Cleaning in R, Part 2!
    It’s a continuation of the June data cleaning meetup! Data cleaning is such a big topic, we decided to continue with part 2 in August. If you missed part 1, no problem! Check out the recap here: http://rladiesphilly.org/post/june-recap/ What we will do: 6pm: Meet, eat pizza 6:30pm: Examples of how to reshape/transform data in R 7:00pm: Group practice on a real-world messy dataset 7:30pm: Continue discussions, network, talk about YOUR data Important information: • A photo ID is required to enter WeWork at 1601 Market. (Student ID is fine) • Bring your laptop to participate About WeWork: WeWork is a community for creators. We transform buildings into beautiful, collaborative workspaces and provide the infrastructure, services, events and technology so our members can focus on doing what they love. WeWork currently has 111 locations in 29 cities across the world with over 70,000 members. Book a tour at wework.com now!

    1601 market street

    19th floor - wework · Philadelphia, PA

    2 comments
  • Coffee and Coding
    Join R-Ladies Philly for a relaxing Wednesday evening of coffee, conversation, and coding! We will meet at Chapterhouse Cafe from 6:30-8:30PM on July 25, 2018 for an informal opportunity to share current R projects with one another, debug code, and network (and of course indulge in delicious coffee and pastry). Please bring your laptop. The cafe has free WiFi, but attendees are responsible for paying for their own food/drink. Because space is limited, we can only accommodate 20 attendees - please RSVP before space runs out! See you there!

    Chapterhouse Cafe & Gallery

    620 S 9th St · Philadelphia, PA

  • Thirsty Thursday! NWCT Happy Hour at the Chart House (cross-post from NWCT)
    Come join the NWCT for "Thirsty Thursday" at The Chart House NWCT is hosting a few happy hours this summer. Please join us! Take this great opportunity to network and build relationships with recruiters and ladies who are looking to expand their careers. Friends, coworkers, bosses and family are welcome! You don't have to be an NWCT member to attend! Thursday Happy hour specials (4:30 pm - 7:00 pm) include: $2.50 domestic bottles, $3.50 import and specialty bottles, $4 well drinks, $6 select wines and $7 cocktails; $4-7 food menu

    Chart house

    555 S Columbus Blvd · Philadelphia

  • Friday Night Drinks: Philly Women in Data & Tech
    Philly is home to several groups of successful women who do awesome work in data and tech. Let’s get together and meet each other, learn from each other, and have a few laughs over drinks and snacks at Independence Beer Garden! This event is very informal - R-Ladies Philly organizers will be there from 5-8pm, so come by and say hello whenever you can and stay for as long as you like. The event is FREE and open to everyone, but attendees are responsible for paying for their own food and drinks. There is no cap on the number of attendees, but we encourage you to register for the event so we have an idea how many people to expect. See you there! About R-Ladies Philly: We are the local chapter of a worldwide organization that focuses on supporting minority gender R enthusiasts to achieve their programming potential, by building a collaborative global network of R leaders, mentors, learners, and developers to facilitate individual and collective progress worldwide. About Women in Kaggle Philly: A group of women & girls interested in learning data science and participating and exploring Kaggle competitions in an inclusive environment. (https://www.meetup.com/Women-in-Kaggle-Philly/) About the Network of Women in Computer Technology: Founded in the 1980’s as the Network of Women in Computer Technology, the NWCT was forged by the female trailblazers at a time when no professional organizations existed in the city with a central-focus on women in tech. Eventually, as more and more areas of tech opened up to women in Philadelphia, the focus of the organization evolved from “computer” to all aspects of technology, and the name changed to the Network for Women with Careers in Technology. The NWCT provides quality networking and professional development events several times a year. Their Meetup page can be found at https://www.meetup.com/NWCTgetsIT-Network-of-Women-with-Careers-in-Technology/ and their website is at https://www.nwct-phila.org/

    Independence Beer Garden

    100 S. Indepence Mall West · Philadelphia, PA

  • Data Cleaning with R
    Data Cleaning… It’s the hard work you do before you can do the “real” work. If you want to make a beautiful visualization or build a useful model, you need to get the data into R correctly and clean it up! Datasets often have inconsistent values or data types, missing values, and other annoyances that can trip you up. Join us to talk data in a relaxing and friendly environment! What we will do: 6pm: Gather, eat pizza, and get set up 6:30pm: Foundations of data cleaning in R and discussion of common data headaches 7:00pm: Group practice on a real-world messy dataset (Philly Farmer's Markets) 7:30pm: Talk by Irem Celen: “Cleaning up Messy Genetics Data” Important information: • A photo ID is required to enter WeWork at 1601 Market. (Student ID is fine) • Bring your laptop to participate • Pre-read of Chapters 1-2 of “An Introduction to Data Cleaning with R” is highly encouraged (https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf) • Ahead of the meetup, we recommend trying to access the messy data from our GitHub: https://github.com/rladies/meetup-presentations_philadelphia/tree/master/June2018 • If you want help or advice on Git and accessing the resources, ask on the R-Ladies Philly Slack: rladies-philly.slack.com About WeWork: WeWork is a community for creators. We transform buildings into beautiful, collaborative workspaces and provide the infrastructure, services, events and technology so our members can focus on doing what they love. WeWork currently has 111 locations in 29 cities across the world with over 70,000 members. Book a tour at wework.com now!

    1601 market street

    19th floor - wework · Philadelphia, PA

    2 comments
  • Git happieR with GitHub
    Version control with Git is becoming an essential tool in the data scientist’s toolkit. However, Git and GitHub can be confusing and many R users put off learning and using Git, even when it could enhance their work and careers! How does R-Ladies Philly use Git? We use GitHub to share materials for meetups, to collaborate on community projects, and to create and publish our website/blog! We are planning an interactive introduction to Git and GitHub with a focus on how you might use it with R. If you are an expert Git user, we would really encourage you to also attend as an opportunity to help other less experienced users. Agenda: • 6pm – gather and eat pizza. Some time for troubleshooting installation questions. • 6:30 – Announcements and main session • 7:30 – Lightning talk, followed by informal continued discussions and networking What to bring: • Bring a laptop to follow along and participate Before the meetup: • We are asking that attendees register for a GitHub account and install Git ahead of time • Recommended reading: http://happygitwithr.com • To register for a github account: o https://github.com • Install git version appropriate for your OS: o https://git-scm.com/book/en/v2/Getting-Started-Installing-Git • We will talk about using RStudio as a git client, but a separate client can be useful: o https://desktop.github.com • For those that are comfortable with the command line, there is a free Datacamp course: o https://www.datacamp.com/courses/introduction-to-git-for-data-science We can't wait to see you!

    Drexel University's LeBow College of Business

    3220 Market Street · Philadelphia

    4 comments
  • Introduction to Text Mining with R
    • What we'll do Join us for an interactive “book club” based on chapters 1 & 2 of "Text Mining with R: A Tidy Approach" (links: https://www.tidytextmining.com/tidytext.html & https://www.tidytextmining.com/sentiment.html). The focus of this book is using tidy data principles for text mining. As we learn a bit about text mining, we will be using the same methods for data wrangling and visualization that we have used in previous meetups but for text data! • Agenda: 6:00-6:30: Introduction & debugging today's code 6:30-7:15: Overview of chapters and group discussion 7:15-7:30: Lightning talk: "Term frequency–inverse document frequency (TF-IDF)" by Darina Chudnovskaya 7:30-8:00: Scheduling & networking We are being hosted by our friends at Drexel University's LeBow College of Business. Check out their highly-ranked program at http://www.lebow.drexel.edu/ We are supported by DataCamp (https://www.datacamp.com/): Data fluency helps people succeed. This is why DataCamp is democratizing data science education by building the best platform to learn and teach data skills. By creating technology for personalized learning experiences to bring the power of data fluency to millions of people around the world. We are proud to support R-Ladies to help achieve this mission. (Take a look at their course on sentiment analysis featuring Julia Silge, a co-author of "Text Mining with R: A Tidy Approach”! https://www.datacamp.com/courses/sentiment-analysis-in-r-the-tidy-way) We are also supported by RStudio (https://www.rstudio.com): RStudio has a mission to provide the most widely used open source and enterprise-ready professional software for the R statistical computing environment. These tools further the cause of equipping everyone, regardless of means, to participate in a global economy that increasingly rewards data literacy. • What to bring Bring a laptop with R and RStudio installed. We recommend everyone read the chapters ahead of time and work through the code examples if you have time. If you need help installing R or issues relevant to the day's lesson, come early so we can help you troubleshoot! • Important to know If you haven't been to an R-Ladies event, fill out our survey! http://bit.ly/rladies-survey We will then add you to our Slack, where we can answer questions.

    Drexel University's LeBow College of Business

    3220 Market Street · Philadelphia

    3 comments
  • Workflow optimization with RStudio Book Club
    • What we'll do Join us for an interactive “book club” based on R for Data Science Chapters 4, 6, and 8 (links: http://r4ds.had.co.nz/workflow-basics.html, http://r4ds.had.co.nz/workflow-scripts.html, http://r4ds.had.co.nz/workflow-projects.html). Developing a streamlined workflow is essential for good coding practice and general data organization. Whether you are new to R or an expert, your work can benefit from our discussion of workflow basics, scripting, and projects. Agenda: 6:00-6:15: Introduction, survey, debugging today's code 6:15-7:15: Chapter overview and group discussion 7:15-7:30: Apply to “real” data using example data from opendataphilly.org 7:30-7:45: Lightning talk - "R vs. Python for Data Science" by Seda Japp 7:45-8:00: Scheduling, networking We are being hosted by our friends at Drexel University's LeBow College of Business. Check out their highly-ranked program at http://www.lebow.drexel.edu/ We are also supported by RStudio (https://www.rstudio.com). RStudio has a mission to provide the most widely used open source and enterprise-ready professional software for the R statistical computing environment. These tools further the cause of equipping everyone, regardless of means, to participate in a global economy that increasingly rewards data literacy. • What to bring Bring a laptop with R and RStudio installed. We recommend everyone read the chapters ahead of time and work through the exercises. If you need help installing R or issues relevant to the day's lesson, come early so we can help you trouble-shoot. • Important to know If you haven't been to an R-Ladies event, fill out our survey! http://bit.ly/rladies-survey We will then add you to our Slack, where we can answer questions.

    Drexel University's LeBow College of Business

    3220 Market Street · Philadelphia

    12 comments