Voyant Tools VS Vega-Lite

My suggestion would be to start with Voyant (https://voyant-tools.org/) and use tools like Document Terms, Contexts, Correlations, and Collocates (and maybe Topics) to see if you can get useful results that way. NVivo definitely has some powerful tools, but it isn't particularly easy to use so unless you need it for something like sentiment analysis, you may be better off using something simpler like Voyant. Source: about 1 year ago

I am aware of NetBase Quid and Primer.Ai, but their prices start at tens thousands $$$ a year. Then I know some tools like https://textrazor.com/ but it's too technical and works through an API. https://voyant-tools.org/ is free but not suited to work with survey responses and multiple snippets of data... Source: over 1 year ago

Check out voyant tools: https://voyant-tools.org/. Source: over 1 year ago

I have all 300+ speeches saved in documents and I've plugged them into a text analysis tool. I am absolutely no expert in linguistics or related fields but it produced some interesting results re: what words he uses most, unique words by months, etc. Source: over 1 year ago

Hello, I write many essays for classes and like to do research in my spare time. A professor once mentioned this tool: https://voyant-tools.org/, and I loved it since it allows me to gain better insight into my writing or texts I'm reading. I was wondering if there were more tools (preferably free) that I should also try. Source: over 1 year ago

I like Vega-Lite: https://vega.github.io/vega-lite/ It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/] My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if... - Source: Hacker News / 6 days ago

I also have difficulties with Gnuplot and Matplotlib. I like Vega that allows me to create visualisations in a declarative way. If I really need something special I go with d3.js, which had a really steep learning curve but with ChatGPT it should have become easier for beginners. [1] https://vega.github.io/vega-lite/. - Source: Hacker News / 3 months ago

To ensure you do not miss this: LiveBook comes with a Vega Lite integration (https://livebook.dev/integrations -> https://livebook.dev/integrations/vega-lite/), which means you get access to a lot of visualisations out of the box, should you need that (https://vega.github.io/vega-lite/). In the same "standing on giant's shoulders" stance, you can use Explorer (see example LiveBook at... - Source: Hacker News / 9 months ago

Nice, would be nice to have it integrated in GitHub markdown. Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations. - Source: Hacker News / about 1 year ago

The underlying data is from an online betting site. Data analysis was done in Python and I used Vega/Altair for the visualisation. Source: over 1 year ago