dplyr pipe vendors

RStudio on R Views

Roland Stevenson is a data scientist and consultant who may be reached on Linkedin.. When setting up R and RStudio Server on a cloud Linux instance, some thought should be given to implementing a workflow that facilitates collaboration and ensures R project reproducibility.

SQL: One of the most valuable skills | Hacker News

Reseles R dplyr pipelines using magrittr, although i find the dplyr version easier to read. Otherwise there are various vendors and tools that parse SQL and show the logical diffs in queries and R''s functional way of chaining operations with pipe operator feels so alien to me. I find myself having the opposite problem I probably

Introduction to Fama French | R-bloggers

In two previous posts, we calculated and then visualized the CAPM beta of a portfolio by fitting a simple linear model. Today, we move beyond CAPM’s simple linear regression and explore the Fama French (FF) multi-factor model of equity risk/return. For more background, have a look at the original article published in The Journal Financial Economics, Common risk factors in the returns on

On the lada - another blog from a data analyst – by tony

In an effort to help solve this common problem–and inspired by the elegance of dplyr/magrittr pipelines–I created a R package called assertr. PIPE from apscheduler.schedulers.blocking import BlockingScheduler def run_daily_surveys Part of that solution involves vendors shipping Python 3 by …

Vishal Anand - Process/Planning Engineer - Chapman

View Vishal Anand’s profile on LinkedIn, • Worked with pipe material specifiions & pipe components to effectively work through technology at reduced costs. dplyr, tidyverse

r - grep records on multiple criteria - Stack Overflow

grep records on multiple criteria. Ask Question Asked 5 years, 10 months ago. I have a series of vendors and billing amounts, with billing amounts grouped into buckets. I want to subset the dataset to only providers who have amounts in both ‘< 100’ buckets, (dplyr) chain(df, group_by(VenName), filter(any (AmtGrp

Software - Marine Data Science

‘dplyr’ and ‘tidyr’ verbs have been defined for the sf objects, functions are pipe-friendly, AND ‘ggplot2’ is able to plot sf objects directly → for more information check out the sf website. sp: ‘sp’ has been the standard for storing spatial data in R and many other packages …

Considering putting my efforts into Python

On the other hand, I think Python is a better environment for productionizing your pipeline. It has way more robust tools for string processing, ETL, pre-processing, etc. and there is a lot more infrastructure and knowledge out there on scaling Python to production systems. Most industrial analytics vendors have APIs for Python but not R.

Bioconductor - Bioconductor 3.10 Released

The user has the abilty to activate one of these three tibbles to perform common functions from the dplyr package. Mapping functionality and accessing web references for elements/sets are also available in BiocSet. BioTIP Adopting tipping-point theory to transcriptome profiles to …

New series: R and big data (concentrating on Spark and

A/B testing Big Data bizarro pipe cdata cross-validation data.table data science data wrangling dot pipe dplyr ggplot2 impact coding linear regression Logistic Regression New series: R and big data (concentrating on Spark and sparklyr) so we strongly suggest clients strongly insist on Spark 2.x clusters from their infrastructure vendors

tidyverse on R Views

RStudio and other platform vendors are making significant investments in building architectures The tidyverse is a coherent system of packages for data manipulation, terse syntax of dplyr and the pipe operator are possible because of how malleable a language R is,

(PDF) Modern Data Science with R - Data Wrangling (mdsr

recommend the use of the %>% (pipe) operator. dplyr can work as an interface to many systems that use SQL in ternally. 4.2 Extended example: Ben’s ti me with the Mets.

What are the best data science courses in R online? - Quora

Data Science has been a buzzword for a while now with more people aiming to look ahead for the career opportunities it provides. If you are looking for a career change to data science or you want to build a career in it or you are really passionat

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A blog about technical stuff

There exist a few implementation of dplyr like pipeline verbs for python (e.g. pandas itself, pandas-ply (uses method chaining instead of a pipe operator), dplython, and dfply), but they all focus on implementing dplyr style pipelines for pandas.DataFrames and I wanted to try out a simpler but more general approach to pipelines. The code

The Complete R Programming Certifiion Bundle | Citizen

The Complete R Programming Certifiion Bundle Take a Deep Dive Into One of Today''s Most Important Data Wrangling & Visualization Concepts in 35 Hours of Training

software – On the lada

It also underscored, to me, that creating specialized functions for every need is a pipe dream. There is, however, two good pieces of news. We can find out with the following elegant dplyr construct. While we''re at it, Part of that solution involves vendors shipping Python 3 by default.

The Essentials of Data Science: Knowledge Discovery Using

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software.

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R bloggers | GEOSTAT course

(This article was first published on Stories by Sebastian Wolf on Medium, and kindly contributed to R-bloggers). Travis CI for R — Advanced guide Continuous integration for building an R project in Travis CI including code coverage, pkgdown documentation, osx and multiple R-Versions Photo by Guilherme Cunha on Unsplash Travis CI is a common tool to build R packages.

Deceer | 2016 | Cardinal Path Blog

We sat down with some of our analytics experts and leaders here at Cardinal Path to ask them about their favorite moments of 2016 as we wrap up the year and prepare for 2017.

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The Ultimate Python Programmer & Data Certifiion Bundle

This course is designed to equip you to use some of the most important R data wrangling and visualization packages such as dplyr and ggplot2. You''ll discover data visualization concepts in a practical manner that will help you apply them for practical data analysis and interpretation.

The Complete R Programming Certifiion Bundle | Citizen

The Complete R Programming Certifiion Bundle Take a Deep Dive Into One of Today''s Most Important Data Wrangling & Visualization Concepts in 35 Hours of Training

THE ESP-r COOKBOOK (한국어번역판 - Strath

THE ESP-r COOKBOOK Most vendors went through a phase where they believed that web based tutorials would supplant mentoring and workshops. From the author’s perspective, web pages work less well than the mentor/workshop paths. The Cookbook is an attempt to bridge this gap.

Data Analysis « Phillip Burger

Smartly, the role of vendors and vendor products was secondary. The variety of topics spanned many different fields, and it was only a one-day event. Three tests check that the calculation using dplyr was accurate. The code incorporate the pipe operator %>% that was introduced into R in 2014 via the magrittr package.

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