Nowadays, the data science field is hot, and it is unlikely that this will change in the near future. While a data driven approach is finding its way into all facets of business, companies are fiercely fighting for the best data analytic skills that are available in the market, and ... [Read more...]

In this follow-up tutorial of This R Data Import Tutorial Is Everything You Need-Part One, DataCamp continues with its comprehensive, yet easy tutorial to quickly import data into R, going from simple, flat text files to the more advanced SPSS and SAS files. As a lot of our readers noticed ... [Read more...]

R allows you to create different plot types, ranging from the basic graph types like density plots, dot plots, bar charts, line charts, pie charts, boxplots and scatter plots, to the more statistically complex types of graphs such as probability plots, mosaic plots and correlograms. In addition, R is pretty ... [Read more...]

Introduction In our previous tutorial Loops in R: Usage and Alternatives , we discussed one of the most important constructs in programming: the loop.  Eventually we deprecated the usage of loops in R in favor of vectorized functions. In this post we highlight some of the most used vectorized functions: the ... [Read more...]

Introduction In this easy-to-follow R tutorial on loops we will examine the constructs available in R for looping, and how to make use of R’s vectorization feature to perform your looping tasks more efficiently. We will present a few looping examples; then criticize and deprecate these in favor of ... [Read more...]

You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to ... [Read more...]

R’s data frames regularly create somewhat of a furor on public forums like Stack Overflow and Reddit. Starting R users often experience problems with the data frame in R and it doesn’t always seem to be straightforward. But does it really need to be so? Well, not necessarily. ... [Read more...]

You can now quickly and easily integrate your DataCamp.com course completion certificates with your LinkedIn profile. Showcase any completed DataCamp course on your profile, including our free Introduction to R course. Share with managers, recruiters and potential clients the skills and knowledge you’ve acquired at DataCamp. In just ... [Read more...]

I think you’ll agree with me if I say: It’s HARD to know whether to use Python or R for data analysis. And this is especially true if you’re a newbie data analyst looking for the right language to start with. It turns out that there are ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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? ... [Read more...]

Data Science has its own language. So, if you want to have at least a slight chance of surviving in the enterprise world of tomorrow -with its obsessive focus on collecting and analyzing data- you better have started yesterday with learning this terminology. Luckily, and inspired by the “How To ... [Read more...]

This data.table R tutorial explains the basics of the DT[i, j, by] command which is core to the data.table package. If you want to learn more on the data.table package, DataCamp provides an interactive R course on the data.table package. The course has more than 35 ... [Read more...]

The data.table package provides an enhanced version of data.frame that allows you to do blazing fast data manipulations. data.table is being used in different fields such as finance and genomics, and is especially useful for those of you that are working with large data sets (e.g. 1... [Read more...]

This post was written by the team behind DataCamp, the online interactive learning platform for data science.   After being dubbed “sexiest job of the 21st Century” by Harvard Business Review, data scientists have stirred the interest of the general public. Many people are intrigued by this job, namely because the ... [Read more...]

DataCamp just launched its latest interactive course: dplyr. This new course was developed in close collaboration with Garrett Grolemund, RStudio’s master instructor. By taking this course, you will be challenged one step at a time to master the essentials about transforming data sets fast and intuitively with the dplyr ... [Read more...]

Together with the key people behind the data.table package, Matt Dowle and Arun Srinivasan,  DataCamp developed a brand new interactive course to bring your data analysis skillset up to date with the essentials of the powerful data.table package. Learn more…  The popularity of the data.table package is ... [Read more...]