OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.



OpenRefine - Powerful tool for working with messy data

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions. It supports aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets, High performance merging and joining of data sets, Time series-functionality, Hierarchical axis indexing and lot more. 

Pandas - Powerful Python Data Analysis Toolkit

Dryad is a repository for data underlying scientific literature. Dryad allows investigators to validate published findings, explore new analysis methodologies and repurpose the data for research questions unanticipated by the original authors. The core code of Dryad comes from the DSpace repository software. It is a general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. 

Dryad - Repository for data underlying scientific publications, based on the DSpace platform

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OpenRefine - Powerful tool for working with messy data

Pandas - Powerful Python Data Analysis Toolkit

Dryad - Repository for data underlying scientific publications, based on the DSpace platform

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OpenRefine - Powerful tool for working with messy data

Pandas - Powerful Python Data Analysis Toolkit

Dryad - Repository for data underlying scientific publications, based on the DSpace platform

TechStack

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