dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges. dplyr focuses on working with data frames, providing functions for filtering rows, selecting columns, arranging data, mutating (adding new) columns, and summarizing data. It's part of the tidyverse ecosystem in R, known for its clear syntax and efficiency, often used for data cleaning, transformation, and analysis.
This tech insight summary was produced by Sumble. We provide rich account intelligence data.
On our web app, we make a lot of our data available for browsing at no cost.
We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.