Datawrapper: Create charts, maps, and tables
datawrapper.de
datawrapper.de
We’re also always looking for developers to join our team (Berlin-based, remote welcome, 4d week possible) - email me david@datawrapper for details.
I'd think this would be useful in media for a story they want to keep the numbers live in.
The ‚narrative‘ concept looks super interesting!
Available on the free plan as well!
Are all your maps static?
Do you generate and host your OSM vector tiles yourself?
Yes, the tiles for our locator maps [0] are self-generated and hosted based on OSM source data and the OpenMapTiles project.
The boundaries used for choropleths [1] are maintained by us based on various public sources (NaturalEarthData, OSM, government data, …)
[0] https://www.datawrapper.de/maps/locator-map [1] https://www.datawrapper.de/maps/choropleth-map
Do you support waterfall charts?
Might become one at some point!
The variety of built-in shapefiles (international, US counties) — with the ability to upload your own custom shapefiles to quickly create interactive maps — is a killer feature on its own
Datawrapper covered all of that, I really like that.
[1] If you are interested: The argument was that older populations are the main factor of slow internet. No data was provided during the discussion. As I found that unconvincing I investigated based on easily accessible but skewed data. The result:
OECD countries only (english): https://datawrapper.dwcdn.net/YTBQ2/1/
World (german, as it was the german subreddit): https://datawrapper.dwcdn.net/Ps2UG/1/
The best result of that discussion was finding the tool and presentation.
This diagram says literally nothing since many of the important causal pathways involved are not sufficiently controlled for. Before and after seeing this diagram, you ought to have effectively no change in your belief.
The various data sources on "internet speeds" are not good, age is better docummented and probably less questionable (I never worked with humans to really establish any of that). I was under the impression that good data on internet speeds is hard to get, so I went for worse data to get a first impression.
If the skew is not created by bad data (e.g., variable selection bias in different populations) but by other causal relationships, I believe it discredits the factor of population age as the main contributor.
I was and am willing to discuss those weaknesses of the data in a discussion. I think I stated with those graphs that I stayed unconvinced of the claim, not that they are conclusive proof. I think of them as a form of exploration to see if a claim is worth further investigation (especially considering the amount of work needed for that).
Hats off to you.
Edit: I realize there’s a very generous free plan, but for real client projects white label is unfortunately often a must.
For most projects, our free plan might suffice: https://blog.datawrapper.de/create-data-visualization-for-fr...
It’s fully usable for commercial use as well.
In terms of in-between projects, if comfortable with a bit of programming I would probably look at Vega Lite [0] or Observable Plot [1]. For GUI tools, there’s also the excellent RAW Graphs [2] to consider!
[0] https://vega.github.io/vega-lite/ [1] https://observablehq.com/@observablehq/plot [2] https://rawgraphs.io/
There are thousands of open source apps that do this things free and better (D3, Datavis etc.). Just needed a little effort.
Every service can be replicated by just doing it yourself - the proposition here is that it might be - or might not, depending on your needs - more cost-effective than hiring a designer yourself do apply your branding to your data visualizations.