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 salaries for data science roles The post The Data...
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 correctly from the first post, The post Importing Data...
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 known for its data visualization The post 15 Questions...
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 apply functions. In the present post we show the use The post R tutorial...
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 the most popular vectorized alternatives (amongst The post A Tutorial...
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 mix up things from time to The post This R...
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. With today’s post, DataCamp wants to show The post 15 Easy...
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 a few clicks, you can show off The post DataCamp R...
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 many good resources that can help you to figure out the The post Choosing R...
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. The post R Tutorial...
Jobs for R users python-bloggers.com (python/data-science news)