Monthly Archives: December 2016

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

December 31, 2016
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tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

My new package, tidyquant, is now available on CRAN. tidyquant integrates the best quantitative resources for collecting and analyzing quantitative data, xts, quantmod and TTR, with the tidy data infrastructure of the tidyverse allowing for seamless in...

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Our R package roundup (2016)

December 31, 2016
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Our R package roundup (2016)

A year in review And yet again, it’s that time of the year when one eats too much and gets in a reflective mood! 2016 is nearly over, and us bloggers here at opiateforthemass.es thought it would be nice to argue endlessly which R package was th...

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Turning KML into tidy data frames

Turning KML into tidy data frames

This note briefly introduces the tidykml package, which turns basic KML geometries into tidy data frames that can be visualized with ggplot2. Summary The tidykml package provides a quick way to import data from Google My Maps into R, in a format that makes it easy to manipulate the data and visualize it with ggplot2. Below is...

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Power BI custom visuals, based on R

December 30, 2016
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Power BI custom visuals, based on R

You've been able to include user-defined charts using R in Power BI dashboards for a while now, but a recent update to Power BI includes seven new custom charts based on R in the customs visuals gallery. You can see the new chart types by visiting the Power BI Custom Visuals Gallery and clicking on the "R-powered visuals" tab....

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Fireworks (in R)

December 30, 2016
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Fireworks (in R)

New Year – a new chapter, new verse, or just the same old story ? Ultimately we write it. The choice is ours. ― Alex Morritt The Analytics Lab and Cmotions wish everybody a happy year. A year full of challenges, new experiences and new knowledge. Github library(ggplot2) rm(list = ls()) # First rocket t1

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Outlier App: An Interactive Visualization of Outlier Algorithms

December 30, 2016
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Outlier App: An Interactive Visualization of Outlier Algorithms

I was recently trying various outlier detection algorithms. For me, the best way to understand an algorithm is to tinker with it. I built a shiny app that allows you to play around with various outlier algorithms and wanted to share it with everyone. The shiny app is available on my site, but even better, Related Post

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Sparse matrices, k-means clustering, topic modelling with posts on the 2004 US Presidential election

December 30, 2016
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Sparse matrices, k-means clustering, topic modelling with posts on the 2004 US Presidential election

Daily Kos bags of words from the time of the 2004 Presidential election This is a bit of a rambly blog entry today. My original motivation was to just explore moving data around from R into the H2O machine learning software. While successful on this,...

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dotplot for GSEA result

December 29, 2016
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dotplot for GSEA result

For GSEA analysis, we are familar with the above figure which shows the running enrichment score. But for most of the software, it lack of visualization method to summarize the whole enrichment result. In DOSE (and related tools including clusterP...

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How to map your Google location history with R

December 29, 2016
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How to map your Google location history with R

It’s no secret that Google Big Brothers most of us. But at least they allow us to access quite a lot of the data they have collected on us. Among this is the Google location history. If you want to see a few ways how to quickly and easily visualize ...

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Pokemon and TrelliscopeJS!

December 29, 2016
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I’m always looking for ways to spark my kid’s interest in computers, data, etc. This has proven to be more difficult than I thought it would be (kids these days…). I suspect this may have something to do with the ubiquity of electronic devices that “just work”, making them less novel and less interesting to tinker with, but speculation...

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