That's fair, I generally make charts for publication, so I spend much more time and effort on the details. But I can understand this being useful for quick exploration for some people.
Generally speaking, I suggest anyone interested in learning to make charts get familiar with grammar of graphics [0] libraries like Vega-Lite, Observable Plot, ggplot2, Altair. There is a bit of a learning curve if you're used to selecting chart types like in Excel, but once it clicks, it gives you virtually unlimited choices in the kinds of charts you can make. And with ggplot or Observable Plot [1], it's about the same number of lines as something like Flint.
Generally speaking, I suggest anyone interested in learning to make charts get familiar with grammar of graphics [0] libraries like Vega-Lite, Observable Plot, ggplot2, Altair. There is a bit of a learning curve if you're used to selecting chart types like in Excel, but once it clicks, it gives you virtually unlimited choices in the kinds of charts you can make. And with ggplot or Observable Plot [1], it's about the same number of lines as something like Flint.
0: https://data.europa.eu/apps/data-visualisation-guide/why-you...
1: https://observablehq.com/@observablehq/plot-gallery