280 search results for "web scraping"

Speed Up Your Code: Parallel Processing with multidplyr

December 17, 2016
By
Speed Up Your Code: Parallel Processing with multidplyr

There’s nothing more frustrating than waiting for long-running R scripts to iteratively run. I’ve recently come across a new-ish package for parallel processing that plays nicely with the tidyverse: multidplyr. The package has saved me countless ho...

Read more »

Basic Shiny Application

November 27, 2016
By
Basic Shiny Application

In this article I will describe how I built a basic web application with R and Shiny. Shiny is a web application framework for R and can be used to build and deploy interactive...

Read more »

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

October 22, 2016
By
Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Quantitative trading strategies are easy to develop in R if you can manage the data workflow. In this post, I analyze every stock in the S&P500 to screen in terms of risk versus reward. I’ll show you how to use quantmod to collect daily stock pri...

Read more »

Text Mining in R and Python: 8 Tips To Get Started

October 6, 2016
By

You want to get started on text mining, but most of the tutorials you start, get pretty complex very quickly? Or you can’t find a proper data set to work on? DataCamp’s latest post will walk you through 8 tips and tricks that will help you to star...

Read more »

Analyzing the first Presidential Debate

October 3, 2016
By
Analyzing the first Presidential Debate

A significant chunk of the data that we encounter on a daily basis is available in an unstructured, free text format. Hence, the ability to glean useful bits of information from this unstructured pile can be quite valuable. In this post, we will attempt a basic analysis of the text from the first Presidential debate Related Post

Read more »

Accessing your Fitbit data

September 18, 2016
By
Accessing your Fitbit data

Since I am a data junkie and bought my Fitbit Charge HR mainly because I wanted to collect and analyse data about myself, I was looking for ways to download the data to your computer. For most people the great stats overview in the app and in the online dashboard will be sufficient but some … Continue...

Read more »

tidyverse 1.0.0

September 15, 2016
By
tidyverse 1.0.0

The tidyverse is a set of packages that work in harmony because they share common data representations and API design. The tidyverse package is designed to make it easy to install and load core packages from the tidyverse in a single command. The best place to learn about all the packages in the tidyverse and how

Read more »

Swedish Real Estate Prices | rvest, RSelenium, ggplot2

March 30, 2016
By
Swedish Real Estate Prices | rvest, RSelenium, ggplot2

Finally got myself an internet connection at home, so i can start with another scraping project. This time i thought it would be nice to try a non-English site that also has coordinate data in each post. Settled on a … Continue reading →

Read more »

R User Groups on GitHub

January 28, 2016
By
R User Groups on GitHub

by Joseph Rickert Quite a few times over the past few years I have highlighted presentations posted by R user groups on their websites and recommended these sites as a source for interesting material, but I have never thought to see what the user groups were doing on GitHub. As you might expect, many people who make presentations at...

Read more »

Exploring New and Used Car Data in Malaysia

December 17, 2015
By
Exploring New and Used Car Data in Malaysia

I came across a local website where individuals/dealers in Malaysia can post information on used and new cars that they are selling. Why i, in particular, would browse such a site might dumbfound some people (those who personally know me would … Continue reading →

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)