lxor677

7 ms·

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by lxor677 6y ago
I like that! It bugs me endlessly that you can't schedule/get nudged by imessages
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by lxor677 6y ago
Haha, that XKCD is great. Yeah, this was definitely a recognized constraint for the where section. What I will say is that I recently graduated from college, so my data was actually fairly descriptive - friends' hometowns (where a numb
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by lxor677 6y ago
Thank you! Appreciate the feedback and glad you enjoyed. Spelling errors are my bane - I'll make sure to fix those. And yep, I think fixing some of those time errors is where I'll start. I feel that pandas is better optimized for
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by lxor677 6y ago
Totally fair. I'll look into that for a v2. Since the operations are RO, I don't think there's much risk of messing up the data, but I think it makes sense from a context standpoint. The application certainly doesn't nee
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by lxor677 6y ago
Huh ok. I had a pretty hacky way of calculating average time, so I'll take a look. Thanks for flagging this.
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by lxor677 6y ago
Thanks vimy - I'll look into that error and change the README
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by lxor677 6y ago
Thanks! There's a lot more I would want to include in a V2 - statistics like average contact response time, top phrases, and conversation analysis (did you like to double text? did you have conversations in bursts or consistently?). Th
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by lxor677 6y ago
I got inspired by Spotify Wrapped to put together this - an iMessage Wrapped with data and visualizations on who/where/what/how/when people texted in 2020. Stack is Flask, Jinja, chart.js, leaflet.js and bootstrap. The a
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Show HN: iMessage Wrapped – your year in texts(michael-danello.github.io)
62 points by lxor677 6y ago|37 comments