grandeabobora + r   307

LatinR 2018
Latinamerican Conference About the Use of R in R&D
r  event  argentina 
february 2018 by grandeabobora
Sentiment Analysis of 5 popular romantic comedies
Short tutorial on analyzing a sentiment in romantic comedies and creating interesting data visualizations to present how mood changes over time in the movies plot.
r  sentiment  text  datascience 
february 2018 by grandeabobora
Ggplot2 is 10 years old: The program that brought data visualization to the masses — Quartz
On June 10, 2007, the statistician and developer Hadley Wickham officially released ggplot2, a chart-making system for the statistical programming language R. It would alter the course of his life and the future of data visualization. "When I created it, I was hoping that maybe a thousand people use it," Wickham told Quartz. "At the...
r  ggplot2  interview 
january 2018 by grandeabobora
R or Python? Python or R? The ongoing debate. | TomazTsql
On every SQL community event, where there could be a cluster of sessions dedicated to BI or analytics, I would have people asking me, "which one would you recommend?" or "which one I  prefer?" So, questions about recommendation and preferences are in my opinion the hardest one. And not that I would know my preferences…
r  python  discussao 
january 2018 by grandeabobora
Machine Learning with R Caret – Part 1 | DataScience
This blog post series is on machine learning with R. We will use the Caret package in R. In this part, we will first perform exploratory Data Analysis (EDA) on
r  caret  machineLearning 
january 2018 by grandeabobora
Data Science at the Command Line
This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
datasets  datascience  r 
january 2018 by grandeabobora
Six Reasons To Learn R For Business
Data science for business (DS4B) is the future of business analytics yet it is really difficult to figure out where to start. The last thing you want to do is waste time with the wrong tool. Making effective use of your time involves two pieces: (1) selecting the right tool for the job, and (2) efficiently learning how to use the tool to return business value. This article focuses on the first part, explaining why R is the right choice in six points. Our next article will focus on the second part, learning R in 12 weeks.
r  business 
december 2017 by grandeabobora
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