Create and Update PowerPoint Reports using R

August 30, 2017
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Create and Update PowerPoint Reports using R

In my sordid past, I was a data science consultant. One thing about data science that they don’t teach you at school is that senior managers in most large companies require reports to be in PowerPoint....

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Pacific Island Hopping using R and iGraph

August 30, 2017
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Pacific Island Hopping using R and iGraph

Use R as your travel guide and plan your next Pacific island hopping holiday with the igraph package. This code analyses flight routes and finds routes. Continue reading → The post Pacific Island Hopping using R and iGraph appeared first on The Devil is in the Data.

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Probably more likely than probable

August 30, 2017
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Probably more likely than probable

What kind of probability are people talking about when they say something is "highly likely" or has "almost no chance"? The chart below, created by Reddit user zonination, visualizes the responses of 46 other Reddit users to "What probability would you assign to the phase: " for various statements of probability. Each set of responses has been converted to...

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IMDB Genre Classification using Deep Learning

August 30, 2017
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IMDB Genre Classification using Deep Learning

The Internet Movie Database (Imdb) is a great source to get information about movies. Keras provides access to some part of the cleaned dataset (e.g. for sentiment classification). While sentiment classification is an interesting topic, I wanted to see...

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3-D animations with R

August 30, 2017
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3-D animations with R

R is often used to visualize and animate 2-dimensional data. (Here are just a few examples.) But did you know you can create 3-dimensional animations as well? As Thomas Lins Pedersen explains in a recent blog post, the trick is in using the persp function to translate points in 3-D space into a 2-D projection. This function is normally...

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Finding distinct rows of a tibble

August 30, 2017
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I’ve been using R or its predecessors for about 30 years, which means I know a lot about R, and also that I don’t necessarily know how to use modern R tools. Lately, I’ve been trying to unlearn some old approaches, and to re-learn them using the ...

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R in the Data Science Stack at ODSC

August 30, 2017
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R in the Data Science Stack at ODSC

Register now for ODSC West in San Francisco, November 2-4 and save 60% with code RB60 until September 1st. R continues to hold its own in the data science landscape thanks in no small part to its flexibility.  That flexibility allows R to integrate with some of the most popular data science tools available. Given … Continue reading R...

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RStudio 1.1 Preview – I Only Work in Black

August 30, 2017
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RStudio 1.1 Preview – I Only Work in Black

Today, we’re continuing our blog series on new features in RStudio 1.1. If you’d like to try these features out for yourself, you can download a preview release of RStudio 1.1. I Only Work in Black For those of us that like to work in black or very very dark grey, the dark theme can be enabled from the ‘Global Options’...

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Layered Data Visualizations Using R, Plotly, and Displayr

August 30, 2017
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Layered Data Visualizations Using R, Plotly, and Displayr

If you have tried to communicate research results and data visualizations using R, there is a good chance you will have come across one of its great limitations. R is painful when you need to...

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Web Scraping Influenster: Find a Popular Hair Care Product for You

August 30, 2017
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Web Scraping Influenster: Find a Popular Hair Care Product for You

Are you a person who likes to try new products? Are you curious about which hair products are popular and trendy? If you're excited about getting The post Web Scraping Influenster: Find a Popular Hair Care Product for You appeared first on NYC Data Science Academy Blog.

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Data wrangling : Cleansing – Regular expressions (2/3)

August 30, 2017
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Data wrangling : Cleansing – Regular expressions (2/3)

Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It is a time-consuming process which is estimated to take about 60-80% of analyst’s time. In this series we will go through this process. It will be a brief series with goal to craft the reader’s skills on Related exercise sets: Regular Expressions...

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The one function call you need to know as a data scientist: h2o.automl

August 30, 2017
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The one function call you need to know as a data scientist: h2o.automl

Introduction Two things that recently came to my attention were AutoML (Automatic Machine Learning) by h2o.ai and the fashion MNIST by Zalando Research. So as a test, I ran AutoML on the fashion mnist data set. H2o AutoML As you all … Continue reading →

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RcppArmadillo 0.7.960.1.2

August 29, 2017
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RcppArmadillo 0.7.960.1.2

A second fix-up release is needed following on the recent bi-monthly RcppArmadillo release as well as the initial follow-up as it turns out that OS X / macOS is so darn special that it needs an entire separate treatment for OpenMP. Namely to turn it...

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Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

In the fourth part in a series on Tidy Time Series Analysis, we’ll investigate lags and autocorrelation, which are useful in understanding seasonality and form the basis for autoregressive forecast models such as AR, ARMA, ARIMA, SARIMA (basically any forecast model with “AR” in the acronym). We’ll use the tidyquant package along with our tidyverse downloads data obtained from...

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New CRAN Package Announcement: splashr

August 29, 2017
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New CRAN Package Announcement: splashr

I’m pleased to announce that splashr is now on CRAN. (That image was generated with splashr::render_png(url = "https://cran.r-project.org/web/packages/splashr/")). The package is an R interface to the Splash javascript rendering service. It works in a similar fashion to Selenium but is fear more geared to web scraping and has quite a bit of power under the... Continue reading →

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Clean or shorten Column names while importing the data itself

August 29, 2017
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Clean or shorten Column names while importing the data itself

When it comes to clumsy column headers namely., wide ones with spaces and special characters, I see many get panic and change the headers in the source file, which is an awkward option given variety of alternatives that exist in R for handling them. One easy handling of such scenarios is using library(janitor), as name suggested can...

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Online courses (in R, python, and data science) at Udemy for only $10 – until September 1st – last day!

August 29, 2017
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udemy-november-coupon-2015

In order to get the discount, simply click choose a link below and when paying use the promo code: JULY20310 Udemy is offering readers of R-bloggers access to its global online learning marketplace for only $10 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL...

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Working with air quality and meteorological data Exercises (Part-2)

August 29, 2017
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Working with air quality and meteorological data Exercises (Part-2)

Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly import data from air quality Related exercise sets: Working with...

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The Cycling Accident Map of Madrid City

August 29, 2017
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Far away, this ship has taken me far away (Starlight, Muse) Madrid City has an Open Data platform where can be found around 300 data sets about a number of topics. One of these sets is the one I used for this experiment. It contains information about cycling accidents  happened in the city from January … Continue reading The...

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Rpad Domain Repurposed To Deliver Creepy (and potentially malicious) Content

August 29, 2017
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Rpad Domain Repurposed To Deliver Creepy (and potentially malicious) Content

I was about to embark on setting up a background task to sift through R package PDFs for traces of functions that “omit NA values” as a surprise present for Colin Fay and Sir Tierney: #RStats folks, @nj_tierney & I need your help for {naniar}!When does R silently drop/omit NA? https://t.co/V5elyGcG8Z pic.twitter.com/VScLXFCl2n— Colin Fay... Continue reading →

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Tidyverse practice: mapping large European cities

August 29, 2017
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Tidyverse practice: mapping large European cities

"... once you have mastered the essential functions as isolated units, you need to learn how to put them together." The post Tidyverse practice: mapping large European cities appeared first on SHARP SIGHT LABS.

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rtimicropem: Using an R package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

August 29, 2017
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rtimicropem: Using an R package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the air that have...

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rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

August 29, 2017
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rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the air that have...

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RcppSMC 0.2.0

August 28, 2017
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A new version 0.2.0 of the RcppSMC package arrived on CRAN earlier today (as a very quick pretest-publish within minutes of submission). RcppSMC provides Rcpp-based bindings to R for the Sequential Monte Carlo Template Classes (SMCTC) by Adam Johanse...

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Shiny Dev Center gets a shiny new update

August 28, 2017
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Shiny Dev Center gets a shiny new update

I am excited to announce the redesign and reorganization of shiny.rstudio.com, also known as the Shiny Dev Center. The Shiny Dev Center is the place to go to learn about all things Shiny and to keep up to date with it as it evolves. The goa...

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RStudio::Conf 2018

August 28, 2017
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RStudio::Conf 2018

It’s not even Labor Day, so it seems to be a bit early to start planning for next year’s R conferences. But, early-bird pricing for RStudio::Conf 2018 ends this Thursday. The conference which will be held in San Diego between January 31st and February 3rd promises to match and even surpass this year’s event. In addition to keynotes from Di...

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6 R Jobs for R users (2017-08-28) – from all over the world

August 28, 2017
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6 R Jobs for R users (2017-08-28) – from all over the world

To post your R job on the next post Just visit this link and post a new R job to the R community. You can post a job for free (and there are also “featured job” options available for extra exposure). Current R jobs Job seekers: please follow the links below to learn more and apply for your R job of interest: Featured Jobs Full-Time Technical Project...

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Le Monde puzzle [#1018]

August 28, 2017
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Le Monde puzzle [#1018]

An arithmetic Le Monde mathematical puzzle (that first did not seem to involve R programming because of the large number of digits in the quantity involved): An integer x with less than 100 digits is such that adding the digit 1 on both sides of x produces the integer 99x.  What are the last nine

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Packages to simplify mapping in R

August 28, 2017
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Packages to simplify mapping in R

Computerworld's Sharon Machlis has published a very useful tutorial on creating geographic data maps with R. (The tutorial was actually published back in March, but I only came across it recently.) While it's been possible to create maps in R for a long time, some recent packages and data APIs have made the process much simpler. The tutorial is...

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