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The DataCamp Blog

DataCamp is an online data science school teaching data science by using fun video lessons and interactive coding challenges.


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Now you can start every R tutorial for free @DataCamp

Posted on April 16th, 2015.

Want to learn more on topics such as R programming, dplyr, data.table, ggvis, and R Markdown? You can now start every DataCamp course for free, and discover how fun it is to learn R in the comfort of your own browser. Try some of our own favourite courses to start with: Data Manipulation with dplyr An […]

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A new interactive interface for learning R online, for free

Posted on April 13th, 2015.

Using the open-source swirl project and RStudio server, DataCamp has created an exciting new online learning interface. Discover a fun collection of free interactive R tutorials covering basic R functions, the apply-family, base graphics, data structures and much more. www.datacamp.com/swirl-r-tutorial Together with the team behind swirl, we want to make it fun and easy to learn R programming […]

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R Tutorial on Reading and Importing Excel Files into R

Posted on April 3rd, 2015.

Why an R Tutorial on Reading and Importing Excel Files into R is necessary As most of you know, Excel is a spreadsheet application developed by Microsoft. It is an easy accessible tool for organizing, analyzing and storing data in tables and has a widespread use in many different application fields all over the world. […]

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Fundamentals of R: Free course by General Assembly & DataCamp

Posted on March 31st, 2015.

Together with General Assembly, DataCamp created a free set of videos on the fundamentals of R. Discover it now! In a series of short videos, the team behind DataCamp teaches you about the fundamentals of R, an open-source statistical programming language. Use this course to understand the advantages and disadvantages of R, and discover at the same […]

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Machine Learning in R for beginners

Posted on March 25th, 2015.

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. […]

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Short R tutorial: Scraping Javascript Generated Data with R

Posted on March 16th, 2015.

When you need to do web scraping, you would normally make use of Hadley Wickham’s rvest package. This package provides an easy to use, out of the box solution to fetch the html code that generates a webpage. However, when the website or webpage makes use of JavaScript to display the data you’re interested in, […]

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How to Make a Histogram with ggvis in R

Posted on March 14th, 2015.

The two previous posts described how you can make histograms with basic R and the ggplot2 package. This third and last part of our histograms tutorial will look at how to make a histogram with ggvis. This package is similar to ggplot2, as it is also based on “the grammar of graphics”. However, ggvis has […]

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How to Make a Histogram with ggplot2

Posted on March 12th, 2015.

In our previous post you learned how to make histograms with the hist() function. You can also make a histogram with ggplot2, “a plotting system for R, based on the grammar of graphics”. This post will focus on making a Histogram With ggplot2. Want to learn more? Discover the DataCamp tutorials. Step One. Check That […]

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R

How to Make a Histogram with Basic R

Posted on March 10th, 2015.

Over the next week we will cover the basics of how to create your own histograms in R. Three options will be explored: basic R commands, ggplot2 and ggvis. These posts are aimed at beginning and intermediate R users who need an accessible and easy-to-understand resource. Want to learn more? Discover the R tutorials at DataCamp. What Is […]

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DataCamp Student & Academic Plan ($9/month)

Posted on March 10th, 2015.

To promote the usage of R within data analysis, DataCamp just launched a special plan for students and academics. Every student, and every individual active in academics, can now access the DataCamp R Training path for just $9/month (normally $25/month). So for just $9 you can start learning all about data manipulation, r programming, data […]