Subject archive for "r," page 5
Providing Digital Provenance: from Modeling through Production
At last week's useR! R User conference, I spoke on digital provenance, the importance of reproducible research, and how Domino has solved many of the challenges faced by data scientists when attempting this best practice. More on the topic, and a recording of the talk, below.
By Eduardo Ariño de la Rubia1 min read
Announcing Enhanced Apache Spark Support
Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark.
By Eduardo Ariño de la Rubia4 min read
Ugly Little Bits of the Data Science Process
This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of the data science process.
By Eduardo Ariño de la Rubia11 min read
The R Data I/O Shootout
We pit newcomer R data I/O package, feather
, against popular packages data.table
, readr
, and the venerable saveRDS
/writeRDS
functions from base R. While feather
fared well, it did face stiff competition.
By Eduardo Ariño de la Rubia11 min read
Visualizing Machine Learning with Plotly and Domino
I recently had the chance to team up with Domino Data Lab to produce a webinar that demonstrated how to use Plotly to create data visualizations inside of Domino notebooks. In this post, I'll share a few of the benefits that I discovered while using Plotly and Domino together.
By Chelsea Douglas5 min read
Genomic Ranges: An Introduction to Working with Genomic Data
Advancements in genome sequencing have outpaced even the high expectations that have placed upon them. We now have the capability to sequence a person’s entire genome for under $1000 - courtesy of Illumina’s HiSeq X Ten sequencer. In this post, I will introduce the workhorse package GenomicRanges that provides a convenient structure for representing genomic data and many built in functions for manipulating them.
By Jack Fu7 min read
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