At many organizations, I've observed, research and development (R&D) is often viewed as the driver of discovery and competitiveness. Many organizations do heavily invest in scientific talent and ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

R has some excellent mapping options. There is the leaflet R package, which I use when I want to do a lot of customization. There is tmap, which I like for its nice balance between power and ease of ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...