news.volyx.in

ggsql: A Grammar of Graphics for SQL (opensource.posit.co)

452 points by thomasp85 · 132 days ago · 85 comments on HN

Article summary

The article introduces ggsql, a grammar of graphics for SQL that allows users to describe visualizations directly inside SQL queries. It provides examples of its use and explains how it works, including its ability to connect directly with database backends. The tool is designed to be a powerful and code-based visualization tool that doesn't require a full programming language. It aims to provide a more structured and composable way of creating visualizations, making it easier to iterate and refine plots.

Main themes

  • ggsql
  • Grammar of Graphics
  • SQL Visualization
  • Data Analysis
  • Database Integration
  • Visualization Tools

What commenters say

  • The creation of ggsql is necessary to provide a more direct and efficient way for SQL users to visualize their data without having to export it to other programming languages.
  • The tool has the potential to become a standard way of plotting, regardless of the backend or data source, by providing a common interface for visualization.
  • Some commentators question the need for a new SQL-like language, suggesting that existing packages like dbplyr could be extended to support ggplot instead.
  • Others see ggsql as a solution to the problem of having to load full data into memory, allowing for more efficient data analysis and visualization.
  • The project's connection to ggplot and its respected grammar for plotting puts it in a good position to achieve a generalized interface for visualization.
  • Some commentators are skeptical about the need for another visualization tool, especially when existing tools like ggplot already solve many of the same problems.
  • The development of ggsql is seen as part of a larger trend towards doing more operations within SQL, rather than in separate scripts or programs.
  • The tool has the potential to standardize and simplify the process of data visualization, reducing the complexity and variability of current approaches.