Data wrangling is the process of transforming and cleaning data to make it usable for analysis and modeling. Here are some popular data wrangling tools:
- OpenRefine: A free and open-source data cleaning and transformation tool that allows users to clean, transform, and visualize data.
- Trifacta: A data wrangling tool that uses a visual interface to help users clean and transform data.
- Alteryx: A data wrangling and analytics platform that provides a variety of tools for data cleaning, transformation, and visualization.
- Talend: An open-source data integration and data management platform that provides tools for data wrangling, including data cleansing, data normalization, and data enrichment.
- KNIME: An open-source data analytics platform that provides a visual interface for data wrangling, as well as a range of tools for data cleaning, transformation, and visualization.
- Google Cloud Dataflow: A cloud-based data processing tool that provides a range of data wrangling tools, including data cleaning, data transformation, and data aggregation.
These tools provide a variety of features for data wrangling, including support for various data formats, visual interfaces for data cleaning and transformation, and built-in algorithms for common data wrangling tasks.