Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

The analysis in this report is based on the combination of work requirements and job skills data from the U.S. Department of Labor’s Occupational Information ...

Imputation methods provide essential statistical tools for addressing missing data, thereby minimising bias and enhancing the reliability of parameter estimates. In statistical estimation, missing ...

This is the data and methodology behind the data essay, “An early look at the 2020 electorate.” Estimates for 2000-2016 are from Census Bureau microdata provided through IPUMS-USA. In 2000, the ...

At this stage it’s important to follow the best practices in your discipline. Whether you are using your desktop, a computing cluster, or a Jupyter notebook on Google, you’ll need to have a plan for ...

Teaching research methods to adult learners requires a shift in mindset: from covering content to building capacity.

The two terms data analysis and data visualization seem to have become synonymous in everyday language in the wider data community. Numerous job adverts focus on data visualization skills while not ...

High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action.

The Center for Data Analysis specializes in quantitative research and simulation modeling of public policies for the Heritage Foundation. The CDA specializes in modeling the effects of federal fiscal ...