A Practical Tip When Working With Random Samples On Spark

Author(s): ___

Originally published on Towards AI.

In this article, I will share a crucial tip when using Spark to analyze a random sample of a data frame. The code to reproduce the results can be found here. It’s an HTML version of a Databricks notebook, so all you have to do is download it in its raw form and then display the downloaded file in a web browser.

Let’s suppose we are working on a large dataset. For the purpose of this article, we will assume that the dataset in question is the flight departure delays dataset, which looks like this:

Figure 1: An excerpt from the flights'… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI