We pride ourselves on the fact that we work on some of the most difficult business applications of Shiny. These range from sales, manufacturing, management tools, to even satellite data analysis tools. Many of our clients include multinational enterpr...
Inspired by a free online course titled Complier Average Causal Effects (CACE) Analysis and taught by Booil Jo and Elizabeth Stuart (through Johns Hopkins University), I’ve decided to explore the topic a little bit. My goal here isn’t to explain CACE analysis in extensive detail (you should definitely go take the course for that), but to describe the problem...
What happened? A magnitude 8.1 earthquake was measured in the Pacific region offshore Chiapas, Mexico at 04:49:21 UTC on September 8th 2017. Working in the Water Mission Area for the USGS, our Data Science Team was already hard at work polishing up water visualizations for the devastating Hurricane Harvey, as well as creating a new visualization for Hurricane Irma. That is...
Shiny Server 1.5.4.869 and Shiny Server Pro 1.5.4.872 are now available. Both the new Shiny Server and Shiny Server Pro releases include bug fixes and enhancements, and we recommend upgrading at your earliest convenience. Shiny Server 1.5.4.869 Clickjacking protection can now be enabled using the frame_options directive. This directive was already available in Shiny Server Pro, but is now available in Shiny...
Edward tufte keyNoTe Edward Tufte will be kicking off PLOTCON NYC this year with his keynote talk. Edward is a Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization including, “The Visual Display of Quantitative Information.” The New York Times described ET
A new online textbook, Data Visualization for Social Science, will teach you everything you need to know about creating beautiful and elegant data visualizations using the ggplot2 package and the R language. The author Kieran Healy is a professor of Sociology at Duke University who has designed data visualizations featured in outlets like The Washington Post, Vox, The Rachel...
In the last set of exercises , you have seen the basic functionalities of RevoScaleR .In this exercise set we will explore RevoScaleR further. get the Credit card fraud data set from revolutionanalytics and lets get started Answers to the exercises are available here.Please check the documentation before starting these exercise set If you obtained Related exercise sets: Big Data...
Then felt I like some watcher of the skies When a new planet swims into his ken; Or like stout Cortez when with eagle eyes He star’d at the Pacific—and all his men Look’d at each other with a wild surmise— Silent, upon a peak in Darien. On First Looking into Chapman’s Homer by … Continue reading My...
The R package ecosystem now contains more than 10K packages, and several flagship packages belong under the rOpenSci suite. Some of these are: magick for image manipulation, plotly for interactive plots, and git2r for interacting with git. rOpenSci is a community of people making software to facilitate open and reproducible science/research. While the rOpenSci team continues to develop and maintain...
This post explains how to use R to automatically write and send emails based on automatically computed analyses (yep, everything automated). This means that when analysis changes or is updated, the email body text changes...
I’m excited to announce that plotly 4.7.1 is now on CRAN! Along with some important bug fixes and numerous improvements to the underlying plotly.js library, this release includes an exciting new R-specific feature — the ability to modify (i.e., update without a full redraw) an existing plotly graph inside a shiny app via the new
Today I’m excited to announce a new R package, blogdown, to help you create general-purpose (static) websites with R Markdown. The first version of blogdown is available on CRAN now, and you can install it with: install.packages("blogdown") The source package is hosted on Github in the repository rstudio/blogdown. Since blogdown is a new package, you may install and test the development...
In the last post, we focused on the preparation of a tidy dataset describing consumer perceptions of beverages. In this post, I'll describe some analyses I've been doing of these data, in order to better understand how consumers perceive the beverage category. This type of analysis is often used in sensographics- companies who produce food products (chocolate, sauces, etc.)...
This is common case when working with data that your source is a remote database. Usual ways to cope this when using R is either to load all the data into R or to perform the heaviest joins and aggregations with SQL before loading the data. Both of them have cons: the former one is Related exercise sets: Descriptive Analytics-Part...
As with many aspects of the tidyverse, its non-standard evaluation (NSE) implementation is not something entirely new, but built on top of base R. What makes this one so challenging to get your mind around, is that the Honorable Doctor Sir Lord General and friends brought concepts to the realm of the mortals that many of us had no,...
Update to GetHFData (Version 1.4) - GetHFData newest version (1.4) allows the recreation of the LOB (limit order book) based on order data. A limit order book is the standard format that trading occurs in most exchanges. Order are...
In this post, I will analyze the results of the “épreuves classantes nationales (ECN)”, which is a competitive examination at the end of the 6th year of medical school in France. First ones get to choose first where they want to continue their medical training. A very clean dataset The data is in a PDF there. I’m not an expert in...
Overview The basic idea of R/exams is to have a one-for-all exams generator where each exercise is a standalone file, so that the same exercise can be rendered easily into a variety output formats such as e-learning systems or written exams. To reduce the risk of cheating, R/exams offers different mechanisms for drawing random variations of exercises: Randomly selecting one (or more) out of a...
Earlier this year, the GDELT Project released their Television Explorer that enabled API access to closed-caption tedt from television news broadcasts. They’ve done an incredible job expanding and stabilizing the API and just recently released “top trending tables” which summarise what the “top” topics and phrases are across news stations every fifteen minutes. You should... Continue reading →
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access Related exercise sets: Hacking statistics...
1. R The R/exams system is an extension for the R system for statistical computing and hence the first installation step is the base R system. Windows and (Mac) OS X: Go to https://CRAN.R-project.org/, the Comprehensive R Archive Network (CRAN)....
INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a Related exercise sets: How to...
On August 26 Hurricane Harvey became the largest hurricane to make landfall in the United States in over 20 years. (That record may yet be broken by Irma, now bearing down on the Florida peninsula.) Harvey's rains brought major flooding to Houston and other coastal areas in the Gulf of Mexico. You can see the rainfall generated by Harvey...
The long view There’s been noise in the public debate on the forthcoming New Zealand election about the value of voting intention polls. There’s often not enough attention to the long view on these things, so here is a graphic of 15 years of poll...
R Markdown in corporate settings I’ve been busy recently writing a paper at work using R Markdown, the wonderful tool provided by the folks at RStudio “to weave together narrative text and code to produce elegantly formatted output”. I don’t ...
It all started January 26th this year when I signed up to volunteer as a reviewer for R packages submitted to rOpenSci. My main motivation for wanting to volunteer was to learn something new and to contribute to the R open source community. If you are wondering why the people behind rOpenSci are doing this, you can read How rOpenSci uses Code Review...
We have started working on a new rOpenSci package called writexl. This package wraps the very powerful libxlsxwriter library which allows for exporting data to Microsoft Excel format. The major benefit of writexl over other packages is that it is completely written in C and has absolutely zero dependencies. No Java, Perl or Rtools are required. Getting Started The write_xlsx function writes...
Infographics. I’ve seen good examples. I’ve seen more bad examples. In general, I prefer a good chart to an infographic. That said, there’s a “genre” of infographic that I do think is useful, which I’ll call “if X were 100 Y”. A good example: if the world were 100 people. That method of showing proportions … Continue reading Infographic-style...
Edit: A version posted at 7:30pm and removed at 8:30pm (eastern time zone) had last years figures. This one now points to the correct database. Football is Back! But I'm The post Gold-Mining – Week 1 (2017) appeared first on Fantasy Football Analytics.
