Blogs

Cancelled: From Data to Dashboards in a Day

Details Sign up on Eventbrite not Meetup https://www.eventbrite.com/e/95552487061/ Overview From data to dashboards in a day. Learn the art and science of developing interesting, informative, and interactive dashboard in today’s most popular analytics and visualization tool Tableau. This workshop will discuss the workflow, tools, and design concepts you need to create engaging dashboard reports. The design of a dashboard can be the difference between a dashboard that is hardly used versus one that becomes a popular tool of decision-makers.

Continue reading

Power BI and March Madness

Details Introduction Power BI is a business analytics solution that lets you visualize data, share insights, or embed them in an app or website. It allows easy access to connect to hundreds of data sources, create dashboards and reports. Power BI, can run R scripts and create data models and visualizations. Suresh will give a demo on how you can use your R stills to interact with Power BI.

Continue reading

Book Club: Feature Engineering and Selection

Details After the success of our first book club, we are looking to start a new one. Again this will be headed up by Xi Chen. The idea is to motivate us to read books and discussing them together. This will help all of us to develop our skills. The format will be that the leader will prepare a short summary of the material and present it to the group. We will then discuss the material and do some exercises.

Continue reading

reticulate: R Interface to Python

Details Bring your laptop Introduction This month this we are going to try something new and break from our traditional two talks. Michael Espero is going to introduce the ‘reticulate’ package. Reticulate provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session.

Continue reading

Book Club: R for Data Science

Details We are looking to start a book club to improve our R skills. It will be headed up by Xi Chen. The idea is to motivate us to read books and discussing them together. This will help all of us to develop our skills. The format will be that the leader will prepare a short summary of the material and present it to the group. We will then discuss the material and do some exercises.

Continue reading

Using YAML and Python in your R Workflow

Details Introduction Malcolm has been interning with RStudio and working on a package, ymlthis, which will allow you too write YAML code using R. The goal is to make it easier to create the metadata needed by markdown, bookdown, blogdown and other frameworks used in R. R and Python are both popular languages in Data Science. There is no need to limit yourself to just one. Michael will show us how to incorporate python into your R workflow.

Continue reading

Interview with Carey Huh

Carey is a UC Irvine researcher in neuroscience. More specifically she studies the visual parts of the brain in mice. She also has a side project where she has been learning about university students, their learning styles and career motivations. As part of her work, she uses R a lot for data exploration, statistical analysis, data visualization and some simple modeling. 1) What does data science mean to you? Data science means to explore, analyze and think critically about data and to be able to to glean meaningful insights from data.

Continue reading

Interview with Greg Falleto

Greg Faletto is a research assistant and PhD student in the Statistics group of the Department of Data Sciences and Operations at the University of Southern California Marshall School of Business. Greg’s research broadly focuses on feature selection, machine learning, and applied statistical methods for business and social science. Over the past decade Greg has developed original data science models for companies like Live Nation and ZipRecruiter, and his team won “Best Model” at the Orange County R Users Group Hackathon 2019 for their predictive model that correlated regional health outcomes with the presence of water pollutants in California.

Continue reading

Integrating React.js and Shiny and, Building Packages in an Ecosystem

Details Note, this month our meetup will be a week earlier to accommodate the Thanksgiving week Introduction This month we are lucky to have two of our seasoned speakers presenting. Alan, from RStudio, will give his much-anticipated talk on integrating React.js with Shiny. The reactR package has been updated to allow you to integrate with htmlwidgets and access all the React components. Emil will talk about his experience integrating the textrecipes into an ecosystem of packages and the lessons that he has learnt.

Continue reading

Interview with Alan Dipert

Alan is a software engineer on the Shiny team at RStudio. In his 10+ years of experience in software development, he has helped build web applications, reporting pipelines, and many things between, including stints as a Staff Sergeant in the US Army and presidents of non-profit hacker and maker organizations. When his is not working, he likes to spend his time reading or being with his family. He holds a B.

Continue reading