Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

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 ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Matt Escobar receives funding from the Core Research for Evolutionary Science and Technology (CREST) project 'Development of a knowledge-generating platform driven by big data in drug discovery ...

Through rigorous, data-based analysis, researchers and analysts can add to our understanding of societal shortcomings and point toward evidence-based solutions. But carelessly collecting and ...