Our consulting company, Melinae, frequently assists clients with large datasets consisting of many variables of varying quality. Before we can develop sophisticated statistical models to provide our client with insight and a competitive advantage, we first learn the characteristics of their existing datasets. This package provides tools that assist our initial exploration of real-world datasets. Although these tools are not a substitute of thoughtful inspection in our later analyses, these make the exploration more time efficient. These tools allow us to more quickly start developing innovative solutions and delivering results.

The idea behind this R package is that configuring metadata is quicker and more robust than coding the same repetitive code.

Our company has benefited from many tools developed by the community, and we'd like to contribute back. Suggestions, criticisms, and code contributions are welcome. If any developer is interested in trying a direction that suits them better, we'll be happy to explain the package's internals and help you fork your own version. We have some starting material described in the documentation-for-developers/ directory.

Thanks, the Melinae Analytics Team

Jim Quallen and Will Beasley

If your organization is interested in the consulting services of Melinae, please contact Jim Quallen at [email protected]. If you have a question about the package, please consider starting a new issue.

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