237 search results for "web scraping"

Target Store Locations with rvest and ggmap

Target Store Locations with rvest and ggmap

I just finished developing a presentation for Target Analytics Network showcasing geospatial and mapping tools in R . I decided to use Target store locations as part of a case study in the presentation. The problem: I didn’t have any store location data, so I needed to get it from somewhere off the web. Since... Continue reading →

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Craft httr calls cleverly with curlconverter

February 10, 2016
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Craft httr calls cleverly with curlconverter

When you visit a site like the LA Times’ NH Primary Live Results site and wish you had the data that they used to make the tables & visualizations on the site: Sometimes it’s as simple as opening up your browsers “Developer Tools” console and looking for XHR (XML HTTP Requests) calls: You can actually

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New Version of “Wrangling F1 Data With R” Just Released…

February 5, 2016
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New Version of “Wrangling F1 Data With R” Just Released…

So I finally got round to pushing a revised (and typo corrected!) version of Wrangling F1 Data With R: A Data Junkie’s Guide, that also includes a handful of new section and chapters, including descriptions of how to detect undercuts, the new style race history chart that shows the on-track position of each driver for

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A Checkpoint Of Spanish Football League

January 20, 2016
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A Checkpoint Of Spanish Football League

I am an absolute beginner, but I am absolutely sane (Absolute Beginners, David Bowie) Some time ago I wrote this post, where I predicted correctly the winner of the Spanish Football League several months before its ending. After thinking intensely about taking the risk of ruining my reputation repeating the analysis, I said “no problem, … Continue reading...

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100 “must read” R-bloggers’ posts for 2015

January 20, 2016
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100 “must read” R-bloggers’ posts for 2015

The site R-bloggers.com is now 6 years young. It strives to be an (unofficial) online news and tutorials website for the R community, written by over 600 bloggers who agreed to contribute their R articles to the website. In 2015, the site served almost 17.7 million pageviews to readers worldwide. In celebration to R-bloggers’ 6th birth-month, here are the top 100 most read R posts written...

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Online R courses at Udemy – for only $10 (“New Year Deal”) until Nov 11th

January 8, 2016
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tl;dr: $10 new year deal at Udemy – until the Jan 11 2016. For the next 9 days (until 2016-01-11), Udemy is offering readers of R-bloggers access to its global online learning marketplace with a (special) $10 (up to 97% off) deal on hundreds of their courses (including many R-Programming, data science, machine learning etc.) Click here to browse ALL (R and non-R) courses...

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String manipulations on full names

This note shows how to use the stringr package to clean a list of full names that need to be turned into unique identifiers, i.e. something that can be assigned as row names to a data frame. Example Let’s start by getting a list of real names by scraping the 183 full names of the people currently sitting in...

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Sentiment Analysis on Donald Trump using R and Tableau

January 2, 2016
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Sentiment Analysis on Donald Trump using R and Tableau

Recently, the presidential candidate Donal Trump has become controversial. Particularly, associated with his provocative call to temporarily bar Muslims from entering the US, he has faced strong criticism. Some of the many uses of social media analytics is sentiment analysis where we evaluate whether posts on a specific issue are positive or negative. We can

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Integrating Python and R Part III: An Extended Example

December 18, 2015
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By Chris Musselle This is the third post in a three part series where I have explored the options available for including both R and Python in a data analysis pipeline. See post one for some reasons on why you … Continue reading →

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R tutorials

December 10, 2015
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There are tons of resources to help you learn the different aspects of R, and as a beginner this can be overwhelming. It’s also a dynamic language and rapidly changing, so it’s important to keep up with the latest tools and technologies. That’s why R-bloggers and DataCamp have worked together to bring you a learning path for R. Each section...

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