What’s New in DataSpell 2024.3

DataSpell 2024.3: JetBrains Data Wrangler and support for R version 4.4

In DataSpell 2024.3, the new JetBrains Data Wrangler simplifies data cleaning and preparation, automating tasks that take up an average of 30–40% of the total time spent working with data. This release also adds support for R version 4.4, enhancing the coding experience with improved language features. Download the new version of DataSpell from our website, update directly from the IDE or via our free Toolbox App, or use snap packs for Ubuntu.

JetBrains Data Wrangler: No-code tool for data cleaning and data preparation

According to our research, data cleaning and preparation constitute as much as 30–40% of data work. To boost efficiency and enhance productivity, automating these stages is crucial and should consist of two steps: optimizing the API and UI for data manipulation and implementing a guided process using LLM agents.

JetBrains Data Wrangler is the first step of this automation. We’re starting with table data and will expand the tool to support more data formats. JetBrains Data Wrangler helps prepare your data for further processing using a set of user-friendly actions.

Filter

Clean and remove

Find and replace

Additionally, JetBrains Data Wrangler allows you to solve statistical issues using effective functions straight out of the box:

  • Min-max scaling
  • Z-score normalization
  • Outlier detection with IQR (interquartile range)
  • Skewness reduction
  • Outlier detection with MAD (median absolute deviation)
  • Outlier detection with Euclidean distance

Data manipulation is accompanied by code generation, which adds to the basic data export and provides the ability to use the result of the transformation as a new cell.

Transform data using JetBrains Data Wrangler

View history of changes

Export data in convenient format

Use transformation as new cell

Support for R 4.4

We’ve introduced support for R version 4.4. You can now start taking advantage of the language’s latest features in your projects in DataSpell.

We hope you enjoy these updates!

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