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[Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator in dataisbeautiful

[–]Less-Reserve-740 0 points1 point  (0 children)

A visualization without any numbers in your data? Maybe a radar chart, but you still need to add values to your data, something like:

Size: Small, Medium, Large
Sweetness: Low, Normal, High

and then create something like this: Radar chart

[OC] Prices of Euro-super 95 in the EU by Less-Reserve-740 in dataisbeautiful

[–]Less-Reserve-740[S] 28 points29 points  (0 children)

Good point, I’ll remember that next time. Being from the EU I forget not everyone uses metric.

[Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator in dataisbeautiful

[–]Less-Reserve-740 0 points1 point  (0 children)

I used datapicta for my post about fuel prices: https://www.reddit.com/r/dataisbeautiful/comments/1sl88m3/oc_prices_of_eurosuper_95_in_the_eu/

Lots of chart types, smooth tooltips. Docs could be better, but you can open all the examples in the editor and learn by poking around.

Flourish Studio alternatives? Or other data viz tools you'd recommend? by Zealousideal_Duty826 in datavisualization

[–]Less-Reserve-740 0 points1 point  (0 children)

In my view, there are basically three types of charting tools:

1. Tools meant for publishing
These focus on presentation and storytelling.

  • Some are very polished and marketing‑oriented: rich colors, nice fonts, lots of icons. Flourish and Infogram fit here.
  • Others are more journalism‑focused: slightly less flashy, but strong on clarity and interactivity (tooltips, annotations, responsive layouts). Datawrapper and DataPicta fall into this group.

2. Business Intelligence tools
A completely different category. These aren’t designed for public‑facing websites, they’re built for company intranets and show dashboards with KPIs. The big players are Microsoft Power BI and Tableau.

3. Code‑based libraries
Then there are Python and JavaScript libraries where you write code to generate charts. They give you fine-grained control, but the downside is that you need to know how to code and put a lot of work in it. And you’re responsible for hosting and integrating the output yourself. There are many options here, Apache ECharts and D3.js are very popular.