Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these methods ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt is often ...

The t-SNE ("t-distributed Stochastic Neighbor Embedding") technique is a method for visualizing high-dimensional data. The basic t-SNE technique is very specific: It converts data with three or more ...

Data analysis isn’t just about assembling, ordering and interpreting data; it’s also about educating, simplifying, clarifying, and persuading. In the hands of skilled analysts, data can make a ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and how ...