D3 Heatmap for R. This is an R package that implements a heatmap htmlwidget.It has the following features: Highlight rows/columns by clicking axis labels; Click and drag over colormap to zoom in (click on colormap to zoom out) and basically all the things d3 offers, then you can use D3, So, I switched to mapbox.gl , so far it feels great on all aspects, which I had difficulties , although, If I had not these requirements, I would choose raw d3 map, The main drawback is the pricing - online maps usually costs money, when you reach monthly views limit. It’s possible to use most of the map-specific tools with other projections, but at this point in time, it’s typically inconvenient. There are a multitude of reasons why people would not want to change up everything they’re doing today. Right: semi-transparent polygons. I think you’ll learn d3 faster using observable, than other online sandbox environments out there. To compare the yearly data per week, either hover your mouse over the chart below, or click and drag your mouse within the chart's area. A sunburst diagram displays a hierarchical structure. But, there’s plenty of praises to sing about the D3 approach. d3 heatmap react, This is an Axes-level function and will draw the heatmap into the currently-active Axes if none is provided to the ax argument. As we’ve been creating more D3 documentation and examples on observable (and more is coming…), I agree we have to be careful about this issue. : I don’t joke when I say I map and graph data, Our code bits here: https://github.com/RandomFractals. As to the broader question of why go to the trouble to introduce a new language, a live editor, and a collaboration platform to accompany it: our goal is to help people help each other. I don`t want to learn Observable. Take a look at this resent post from mapbox that combines both: Also, now I am curious what is the nature of your maps and who are the end users? In general, we’re trying to avoid Observable’s facilities, and prefer e.g. It may really be the case that Observable is the next big thing but, as it stands, I am not given any alternative when I come here from the d3 site, for example, apart from going elsewhere. That would be great : a great step toward the glory useful past. You not only answered my question, but also expressed exactly what i want to say. Keeping only the core code. I hadn’t even heard of DeckGL until now. There’s an incredible community of people on Observable that can help you (through comments and suggestions) and a wealth of techniques to learn from and reuse (through forks and imports). code along with what version of D3 is being used because doing so would have probably made it a little easier to find the necessary information. Is that ok? I certainly learned a lot with d3-geo’s test and bin scripts. I agree it would be cool of we could also see the original bl.ocks.org examples where they now link to Observable (and maybe Mike can figure out a way to do this), but barring that, there’s still an expansive world of examples online… so hopefully you don’t feel forced into a learning approach that doesn’t fit you. An Observable notebook by Carlos Sandoval Olascoaga. I have several world map visualizations which are essentially just a Choropleth with shaded countries and a small amount of markers at specific lat/lng coords. We want to foster collaboration and creativity. An Observable notebook by David Bumbeishvili. Maybe a tool, or a tutorial, could help with the necessary changes — things like replacing require by