Quantitative analysis (QA) seeks to understand behavior by using mathematical and statistical modeling, measurement, and research.

Data integrity is a broad term that describes the overall accuracy, consistency and completeness of a dataset. In the context of research, maintaining data integrity also includes making sure that ...

How Bad Data Practice Is Leading To Bad Research Honest statistical error, misunderstanding of data and methods, failure to normalize, malicious manipulation and copy-paste Google Scholar-ship ...

Calculating the costs and benefits of an IT project is challenging, to say the least. Here's why it's worth doing, plus advice on how to conduct an analysis that can help your project get funded.

Scientific advancement depends on a strong foundation of data credibility. However, scientific findings in biomedical research are not always reproducible. Meet the organizations that are ...

What does it mean to do “big data” in 2019 and just what is "big data?" There are no easy answers, but as we increasingly tout everything and anything as “big data” it is worth stepping ...

A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.

I tested Claude's new free data-crunching AI tool. Unfortunately, it rejects even moderately sized datasets - and the paid version isn't much better.