Past Meetup

"Official" August 2018 BARUG Meetup

This Meetup is past

168 people went

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50 Beale Street #600 · San Francisco, CA

How to find us

Look for the Blue Shield Building. The meeting will be on the 11th floor, suite 1100.

Location image of event venue

Details

Lightning Talk Evening!

Agenda:

6:30 - Pizza and networking
6:55 - Announcements
7:00 - Eric Rynerson - Bar mekko charts in R
7:15 - Andrew Mangano - Using R and Leaflet for Maps
7:30 - Avantika Lal - Using Sparse Matrix Factorization to Identify Cancer
7:45 - Neal Richardson - Wrapping Web APIs in R
8:00 - Lynna Jirpongopas - Programming in R on AWS SageMaker
8:15 - Jonathan Spring - Analyzing Visitation Patterns with the Tidyverse
8:30 - Earl Hubbell - #TidyTuesday: Fun with the Tidyverse

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Eric Rynerson

Bar mekko charts in R

If you’ve ever added variable width to your bar chart you were likely underwhelmed with the results. The bar mekko is a better alternative for drawing the audience’s attention to what matters, and there is now a simple package for producing them in R. I’ll explain when and why you should consider using the bar mekko chart and briefly demonstrate how to create them with the mekko package.

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Andrew Mangano

Using R and Leaflet for Maps

I use Leaflet map functions quite a bit in my role as a director of analytics and data science for Safeway eCommerce and I’ve found the basics of leaflet to be both easy and engaging. I will show examples from my work along with additional general examples.

Avantika Lal

Using Sparse Matrix Factorization to Identify Cancer

The SparseSignatures package uses sparse matrix factorization to identify mutational signatures in cancer. Given a dataset of mutations in tumors, our method identifies signatures of individual mutational processes like smoking, UV light exposure, genetic defects - so it can be used to identify the underlying causes of a patient's cancer.

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Neal Richardson

Wrapping Web APIs in R

There's lots of interesting and useful data available online, whether from open data sources or from subscription services, such as Twitter and Google Analytics. Getting the data into R for exploration is the first challenge. While popular APIs have R packages that let you access them conveniently, sometimes you need to write your own API connections. In this talk, I'll show how to quickly write an API wrapper in R, working through a real example. The goal is to set up a minimal, robust, and extensible foundation for working with the API in R so that we can spend less time thinking about how to get the data in and more time doing fun things with it.

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Lynna Jirpongopas

Programming in R on AWS SageMaker

The talk is intended for R programmers of all levels that are interested in leveraging AWS infrastructure. I'm a novice at using AWS SageMaker but have been using R in RStudio environment for many years. Recently, I have been working with data hosted in AWS S3, and therefore AWS SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html) became a smarter choice of tool for data analysis with R. Sagemaker provides hosted Jupyter Notebook, but what makes it more powerful than a regular notebook, is the capability for data scientists to build, train, and deploy your machine learning model all in one platform.

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Jonathan Spring

Analyzing Visitation Patterns with the Tidyverse

I manage the budget at SFMOMA and handle much of our data analysis. I will present some neat examples of analyzing our visitation patterns (when they visit, where from, repeat visits, etc.) using R and the tidyverse.

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Earl Hubbell

#TidyTuesday: Fun with the Tidyverse

TidyTuesday is a project of @rfordatascience in which datasets are published every week, and explored using the tidyverse tools for summarizing, arranging, and making meaningful graphs.