Data Wrangling
Showing 9 of 9 projects
A practical guide for researchers on how to properly structure and share data with statisticians to ensure efficient analysis.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A blazing-fast command-line toolkit for querying, slicing, analyzing, transforming, and validating tabular data (CSV, Excel, JSONL, etc.).
A Go library providing DataFrames, Series, and data wrangling operations for structured data manipulation.
A Go library providing DataFrames, Series, and data wrangling operations for tabular data manipulation.
A command-line tool that provides jq-style access to structured data sources like SQL databases, CSV, and Excel files.
A flexible and fast package for in-memory tabular data manipulation and analysis in the Julia programming language.
A Python library for agile data preparation workflows that works with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark.
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