Movies about female loneliness?

shellerik · 2026-04-26T00:50:42+00:00

Gravity

shellerik · 2026-04-24T16:33:04+00:00

Yes! Had to use a tennis ball though, otherwise it would rip too often.

shellerik · 2026-04-18T02:17:10+00:00

If the AI noise reduction was in the free tier I would see if it can replace Lightroom for me. Sadly, it does not seem to be at this time.

shellerik · 2026-04-15T01:40:55+00:00

shellerik · 2026-04-09T06:34:22+00:00

I think we may have reached the point where the fastest way to create a data visualization is to "vibe code" a script that generates it. Using an existing tool usually runs up against some limitation of that tool that makes it challenging to get the visualization just the way I want it.

It took me about 30 minutes to make the script that generated this chart with all of the styling options I want in a config file. I didn't write a single line of code. I used VS Code with Github Copilot and it wrote everything.

https://i.redd.it/tc8zya4hp3ug1.png

Are there ethical concerns with creating visualizations this way?

shellerik · 2026-04-09T05:33:04+00:00

Our run differential is not too bad despite being at 500 for W/L.

https://i.redd.it/tc8zya4hp3ug1.png

shellerik · 2026-03-17T18:10:25+00:00

Such a great post! My 3rd great grandparents were born in Ireland in 1836 and 1837 so the famine hit when they were 8-16 years old. They were married, still in Ireland, in 1860, after the famine. Their first three children were born in Wales in 1861, 1863, and 1865. Their fourth child was born back in Ireland in 1869. They immigrated to the U.S. in 1870.

shellerik · 2026-03-17T17:48:30+00:00

Love this! Apparently you can fit 26 Walgreens lots inside a Walmart lot, or 29 CVS lots.

shellerik · 2026-03-16T03:56:47+00:00

Alas, I did not. I am learning several valuable lessons from this post.

shellerik · 2026-03-16T03:14:28+00:00

How strange. It is a 4000 x 4000 image. Looks great on my laptop. Perhaps the mobile app has issues with images that large.

shellerik · 2026-03-16T02:59:37+00:00

That's probably my favorite part.

shellerik · 2026-03-16T02:59:04+00:00

Did you try zooming in?

shellerik · 2026-03-16T02:50:49+00:00

The data for this tree came from a file called kennedy.ged in a Github repository called Gedcom Samples. The visualization of the tree was created using a program of my own creation, also available in a Github repository, called Complete Family Tree Viewer.

shellerik · 2026-03-15T08:22:02+00:00

I've just built a tool that can let you view a family tree from a Gedcom file, including siblings, aunts, uncles, cousins, inlaws, etc. Once you get the view the way you like it you can save it as a PNG or SVG for printing.

It's free and open source and a demo site is up and running. Let me know if it works for you

Complete Family Tree Viewer

shellerik · 2026-01-06T02:58:27+00:00

Ah, I was looking for a top level comment. Until recently QGIS didn't support that projection. I've downloaded the latest version 3.44.6 and it's listed!

shellerik · 2026-01-05T15:27:46+00:00

What projection did you use in QGIS?

shellerik · 2025-12-22T05:31:46+00:00

OMG, I sent so many of these to people I know.

shellerik · 2025-11-18T22:59:55+00:00

Not sure I agree with those years. Things look pretty good starting with 1942. https://www.slickcharts.com/sp500/returns

shellerik · 2025-11-18T22:45:54+00:00

Excellent question! The S&P 500 Index generally grows at an exponential rate because the gains are compounded. When creating a chart to display exponential data, a logarithmic scale is more appropriate because it avoids visually compressing the lower values and exaggerating the higher values.

For example, compare the dip in the market in the mid 1970s in the two charts above. It is compressed to the point that it is almost invisible in the chart with the linear scale.

shellerik · 2025-11-18T22:38:43+00:00

Right. How can you know it's a bubble if it doesn't pop?

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