1900 search results for "EXCEL"

Detect Lines in Digital Images

January 23, 2017
By
Detect Lines in Digital Images

As part of our data science training initiative, bnosac is also providing a course on computer vision with R & Python which is held in March 9-10 in Leuven, Belgium (subscribe here or have a look at our full training offer here). Part of the course is covering finding blobs, corners, gradients, edges & lines in images. For...

Read more »

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant, version 0.3.0, is a pretty sizable release that includes a little bit for everyone, including new financial charting and moving average geoms for use with ggplot2, a new tq_get get option called "key.stats" for retrieving real-time stock inf...

Read more »

Generate text using Markov Chains (sort of)

January 20, 2017
By

Inspired by the hilarious podcast The Greatest Generation, I have worked again with all the lines from all the episode scripts of TNG. Today I will make a clunky bot (although it does nothing and is absolutely not useful) that talks like Captain ...

Read more »

Introducing sparklyr to the Madrid R User Group

January 20, 2017
By
Introducing sparklyr to the Madrid R User Group

by Carlos Ortega In the last meeting of 2016, the 40th in Madrid’s R Users Group five-year history, we had the opportunity to listen (via Skype) to a very interesting talk by Javier Luraschi, the main author of the package sparklyr. In our previous meeting, a colleague of the Community (José Luis Cañadas) made a

Read more »

A Recipe for Automatically Going From Data to Text to Reveal.js Slides

January 20, 2017
By
A Recipe for Automatically Going From Data to Text to Reveal.js Slides

Over the last few years, I’ve experimented on and off with various recipes for creating text reports from tabular data sets, (spreadsheet plugins are also starting to appear with a similar aim in mind). There are several issues associated with this, including: identifying what data or insight you want to report from your dataset; (automatically

Read more »

Easily explore a table with shinycsv

January 19, 2017
By
Easily explore a table with shinycsv

Have you ever had to explore a table with data? I believe the answer is yes for most people that work at a computer or even just use it for communicating with their friends and family. Tables of data pop up everywhere, for example in personal finance. Websites like Mint.com allow you to download your transactions in...

Read more »

A basic reproducible data analysis workflow – principles

The goal of reproducible data analysis is, according to the CRAN task view, to tie specific instructions to data analysis and experimental data so that scholarship can be recreated, better understood and verified. In order to prepare a small talk on t...

Read more »

Workout Wednesday Redux (2017 Week 3)

January 18, 2017
By
Workout Wednesday Redux (2017 Week 3)

I had started a “52 Vis” initiative back in 2016 to encourage folks to get practice making visualizations since that’s the only way to get better at virtually anything. Life got crazy, 52 Vis fell to the wayside and now there are more visible alternatives such as Makeover Monday and Workout Wednesday. They’re geared towards... Continue reading...

Read more »

Git Gud with Git and R

January 17, 2017
By
Git Gud with Git and R

If you're doing any kind of in-depth programming in the R language (say, creating a report in Rmarkdown, or developing a package) you might want to consider using a version-control system. And if you collaborate with another person (or a team) on the work, it makes things infinitely easier when it comes to coordinating changes. Amongst other benefits, a...

Read more »

How to really do an analysis in R (part 1, data manipulation)

January 16, 2017
By
How to really do an analysis in R (part 1, data manipulation)

For a couple of years, I’ve been writing about the importance of data analysis, saying that data analysis is essentially the foundation of data science itself. While I admit that there’s room for argument (and I admit that the reality is a little more nuanced) I still firmly believe that data analysis is the true The post

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)