Tablesaw is Java for data science. It includes a dataframe and a visualization library, as well as utilities for loading, transforming, filtering, and summarizing data. It's fast and careful with memory. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and integrates well with the Smile machine learning library.
Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action.
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Add tablesaw-core to your project. You can find the version number for the latest release in the release notes:
<dependency>
<groupId>tech.tablesaw</groupId>
<artifactId>tablesaw-core</artifactId>
<version>VERSION_NUMBER_GOES_HERE</version>
</dependency>
You may also add supporting projects:
tablesaw-beakerx
- for using Tablesaw inside BeakerX
tablesaw-excel
- for using Excel workbookstablesaw-html
- for using HTMLtablesaw-json
- for using JSONtablesaw-jsplot
- for creating chartsAnd always feel free to ask questions or make suggestions here on the issues tab.