Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...

Programming C without variables is like, well, programming C without variables. They are so essential to the language that it doesn’t even require an analogy here. We can declare and use them as ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Explore how covariance reveals relationships between variables, its role in financial planning, and its application in the stock market for better investment strategies.

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 ...

Microsoft Excel can perform numerous statistical functions, as well as create charts from statistical data. Statistical data includes numeric variables or word variables, also called categorical ...

Historically, public opinion surveys have relied on the ability to adjust their datasets using a core set of demographics – sex, age, race and ethnicity, educational attainment, and geographic region ...

The ADB’s Brief No. 361 emphasizes that adopting the SDMX standard can transform fragmented national data systems into ...

Effective data visualizations display complex information in a way that's easy to understand. Here's what goes into creating a good one. Data visualization has grown more complex as the number of data ...