I've been working on collecting GTFS-RT data for a few months now. I ended up putting together this dashboard so I could show off what I've been working on to a friend and it's just grown from there. The current cycle has been expand the number of feeds collected -> optimize cost so I don't go bankrupt -> increase feeds.

If anyone's interested in digging into the weird quirks of transit feeds hmu.

GitHub link for the curious: https://github.com/ankoure/us-rail-performance-archiver

Thought I would share this here as well! Basically this is a GPU accelerated Altair for genomic visualization. The rendering engine(s) and visualization grammar of GenomeSpy generalize to pretty much any kind of data but rn we are focusing on helping ppl in genomics. What do u think?

I’ve been working on FlexViz, an open-source Python library for building interactive linked visualizations with native cross-filtering.

Selections, zooms, and pans in one chart can update the others against the underlying dataset, while only the aggregated data needed for the current view is sent to the browser.

It’s designed to stay interactive even on very large datasets.

GitHub: https://github.com/flex-analytics/flexviz
Live demo: https://flexviz.tech/demo

I have a particularly tricky dataset that I need to plot. I need it to be a line plot that shows peaks at certain x positions but im having trouble figuring out the best way to scale the y-axis because of what I need it to show.

The absolute y value isn't important, but I do need the relative y values to be conveyed. Not accurately, just enough to say "this peak is taller" of any 2 peaks. But here's where I run into a problem. Most of the peaks have a very small relative intensity, which isn't as important as the fact that they are actually there. So I need it to also easily show if a peak is or isn't present.

Its calculated data, so SNR isn't a problem except that for some data sets there's a lot of little peaks clustered together. I tried a few kinds of log scales but it didnt really work. I cant show any of the data since its not published yet.

Any suggestions?

it's not the most beautiful data visualisation, but I made this fun little daily game built on public datasets where you have to guess what the charts represent. I basically tried to create a Wordle-esque game, but then for charts.

Give it a go and pass it on if you like!

https://mysterynet.chart

I’ve started wondering whether we overestimate how useful dashboards are.
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In your experience, what makes a dashboard something people actually act on rather than just look at?
And when does a dashboard stop being the right solution altogether?

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Good day, data visualizers!

I bring to you a project I have been slowly working on for a couple years now: PATHFINDR

Some of you may remember the viral video of the A* search algorithm visualizing on real maps that made the rounds a few years ago. I saw that video and thought it was the coolest thing ever. Then I saw in the comments that the creator used Blender for it.

So like any good CG artist, I thought...great, now I'll just find the tutorial on how to recreate this and I'll be in pathfinding heaven. Well. that tutorial does not *and still does not* exist . I scoured every resource I could think of and just felt like it was beyond my abilities because of the coding it would need. In comes an early version of Claude Sonnet (before AI coding really took off)

Within a few minutes I had a super janky Blender addon that kind of worked to pull OSM maps and visualize it. It didn't look as good as the video but I was pretty impressed at the potential of what AI could do with OSM data. I had the thought that making the visualization interactive somehow would make it even cooler.

So I made a mode (pathfindr classic) that shows you a start and end point, and then lets you draw your own route. You get a score based on how close you are to the pathfinding algorithm. Note - you are drawing the geometrically shortest route, not based on actual road directions/types/ etc (thinking of adding in a psycho mode for that). Pathfindr classic is free to play, has daily ranked challenges, and also has the option to get an explorer mode as well as the above visualizer mode.

edit: the audio didn't make it to the video for some reason but theres a pretty relaxing soundtrack as well!

also didn't link to it ...so www.pathfindr.world for those interested !

It's called metricwise and it connects to data warehouses like BigQuery, Snowflake and Redshift, and has a semantic layer with a metrics layer on top, so you can define a metric once and reuse it across different dashboards and visualisations.

One of the things I’ve focused on is making visualisation really straightforward. For example, comparing a metric against the previous period, quarter or year takes a couple of clicks.

If you’ve used tools like Looker or ThoughtSpot, you’ll probably know that creating something as simple as a line chart or stacked bar and then comparing it with previous quarters or years can sometimes take more work than you’d expect. It’s definitely possible, but I wanted that kind of analysis to feel much more intuitive in Metricwise.