{"id":5207,"date":"2023-02-13T07:10:23","date_gmt":"2023-02-13T15:10:23","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=5207"},"modified":"2025-04-24T17:16:10","modified_gmt":"2025-04-24T17:16:10","slug":"constructing-and-visualizing-datagrids-in-kangas","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/constructing-and-visualizing-datagrids-in-kangas\/","title":{"rendered":"Constructing and Visualizing DataGrids in\u00a0Kangas"},"content":{"rendered":"\n
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Introduction<\/strong><\/h4>\n

Kangas is a tool developed by Comet<\/a> that is still in the beta phase but is open-source and free to use for everyone. It\u2019s defined as a tool for exploring, analyzing, and visualizing large-scale multimedia data. According to its GitHub page<\/a>:<\/p>\n

The key features of Kangas include:<\/p>\n<\/div>\n

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– Scalability<\/strong>. Kangas DataGrid, the fundamental class for representing datasets, can easily store millions of rows of data.<\/em><\/div>\n
– Performance.<\/strong> Group, sort, and filter across millions of data points in seconds with a simple, fast UI.<\/em><\/div>\n
– Interoperability.<\/strong> Any data, any environment. Kangas can run in a notebook or as a standalone app, both locally and remotely.<\/em><\/div>\n
– Integrated computer vision support.<\/strong> Visualize and filter bounding boxes, labels, and metadata without any extra setup.<\/em><\/div>\n
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In this tutorial, I will show you how to get started with this new open-source Computer Vision tool<\/a> by experimenting with how to generate our own DataGrids, and analyze previously created ones. We will also compare DataGrids with Dataframes.<\/p>\n

What is a DataGrid?<\/strong><\/h4>\n

First, let\u2019s see what information brings to us what we consider the main source of truth aka the world wide web<\/em>. When we Google the term, DataGrid <\/a>is not so accurate and the most concise is the one defined in the Kangas documentation<\/a>:<\/p>\n

\u201cThe DataGrid instance can be imagined as a two-dimensional list of lists. The first dimension is the row, and the second dimension is the column.\u201d<\/p>\n

As we will see later in the article, a DataGrid could be comprised besides data itself (strings and integers), also by images.<\/p>\n

The DataGrid instance has the following attributes:<\/p>\n