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Kotlin for data analysis
data analysis Exploring and analyzing data is something you may not do every day, but it's a crucial skill you need as a software developer. Let's think about software development duties where data analysis is key: analyzing what's actually inside collections when debugging, digging into memory dumps or databases, or receiving JSON files with large amounts of data when working with REST APIs, to mention some.
Our tools can seamlessly read data right in the IDE from different file formats, including CSV, JSON, and TXT. Jupyter Notebook is an open-source web application that allows you to create and share documents containing code, visualizations, and Markdown text. With the Kotlin DataFrame library, you can work with different file formats, including CSV, JSON, XLS, and XLSX.
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