Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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Based on our record, Looker should be more popular than Bl.ocks. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
- elijah meeks has some force collision label work that he's done, though I don't know where it lives. I'd google around, it may have lived on bl.ocks.org; there may be more up-to-date stuff too. Source: 11 months ago
D3 is luckily a very popular library with lots of resources available. I'd suggest also checking out bl.ocks and Observable for great examples. The latter one is amazing if you just want to do statistics/visualization work, since it acts like a Jupyter-like notebook environment. Source: about 2 years ago
Yeah, for that use case, https://bl.ocks.org is better than CodePen. Publish a GitHub gist, replace gist.github.com with bl.ocks.org, and sneak in "/raw" between the username and the gist id. You can even point to specific commit hashes. - Source: Hacker News / about 2 years ago
The harder way: Follow an example of someone coding the visualization on their local set up (which may be hard to find depending on what your are looking for as a lot of D3 examples have migrated to Observable). But here is an old glossary of examples it is on an old website called Bl.ocks that showed D3 examples using Github gists. Source: over 2 years ago
That's great, and hey maybe I'll steal some of your recipes from your blog too :) Currently I'm following https://bl.ocks.org/ for inspiration and don't have too many other sources to read through, but your blog seems like it's filled w/ topics on data viz & getting around pain points, I'm all about it! Source: over 2 years ago
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 1 year ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 1 year ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 2 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 2 years ago
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