Declarative Syntax
Vega uses a high-level JSON syntax that allows users to create complex visualizations without detailed procedural coding. This makes the creation process intuitive and accessible to non-programmers.
Interactivity and Animation
Vega supports interactive visualizations and animations out of the box, enabling users to create dynamic data presentations that are more engaging for viewers.
Consistent Output
The visualization grammar ensures that graphics are rendered consistently across different platforms and devices, maintaining a high standard of visual quality.
Compatibility and Integration
Vega is built on top of the D3.js library, providing robust integration capabilities with other web technologies and data visualization tools, expanding its functionality.
Extensibility
Users can extend the existing functionalities to define custom visualizations, offering flexibility to tailor the tool to specific needs.
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Document address: Vega Official Document. - Source: dev.to / 5 months ago
This looks interesting but I’m pretty sure it’s not the first declarative charting tool. (Eg Vega https://vega.github.io/vega/). - Source: Hacker News / 12 months ago
Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!). Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now) For those curious, the stack is a simple Django app with... - Source: Hacker News / about 1 year ago
I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost). Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer. - Source: Hacker News / over 1 year ago
The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega. Source: almost 2 years ago
It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python. Source: about 2 years ago
Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool. Source: over 2 years ago
This chart is make with Vega (and also all the charts from the article). Data source is from devjobsscanner and contains about 10 Million dev jobs offers, which only a small subset contain salary information thought. Source: over 2 years ago
Not that I'm working on it, but I'd love to see a vega stack in rust. Source: about 3 years ago
As such, I've been obsessed with the Vega and Vega-Lite languages for a long time. These use JSON rather than full-blown code, and allow you to build a visual from the ground-up using a grammar of graphics, much like ggplot2 in R or Altair in Python (which is actually an implementation of Vega/Vega-Lite). Source: over 3 years ago
Heads up for people looking for a good abstraction layer for d3.js Check out Vega: https://vega.github.io/vega/. Source: over 3 years ago
D3.js and Vega are extremely useful to know from a visualisation perspective. Source: over 3 years ago
I wonder, have you considered Vega output? (https://vega.github.io/vega). - Source: Hacker News / over 3 years ago
If you're up for something slightly different, I'm currently working on a visual called Deneb, that provides the Vega and Vega-Lite languages for visual development inside Power BI Desktop. I appreciate this isn't either R or Python but the runtimes are packaged in, so you just need the visual loaded in your report and no further setup is required (apart from learning the syntax). Source: almost 4 years ago
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