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Hot data science related posts every hour. Chat: https://telegram.me/r_channels
Books to read after "The Visual Display of Quantitative Information"?
Just finished. Was a decent introduction, but am interested in a more rigorous treatment of data vis. Idk exactly what that looks like, but something in this direction
- More cited research. I know there's research on human color perception for instance.
- More taxonomy of graphs (these are different ways to represent bivariate real data, this is how to represent a real dependent variable and a categorical independent variable). Almost to the point of a prescriptive flowchart thing.
/r/datascience
https://redd.it/zve9pd
[OC] Beer as a percentage of total calories
/r/dataisbeautiful
https://redd.it/zvddm2
EV Production in the U.S. by Brand
/r/visualization
https://redd.it/zv528r
[OC] State by State Housing Price Growth since 1975
/r/dataisbeautiful
https://redd.it/zvaijm
Where do I get the location of Elon Musk's private jet?
Given that he has banned the Twitter account that tracked his private jet, I wondered if anyone knew where the account got its data from.
/r/opendata
https://redd.it/zmloap
Map: These are the world’s least religious countries/Gallup research
/r/MapPorn
https://redd.it/zuygf5
[OC] Life Expectancy at Birth (1960-2019)
/r/dataisbeautiful
https://redd.it/zuxugl
What is this chart called and how can I plot one myself?
Can anyone help me name this type of scientific chart with lines overlaid indicating a second independent variable? Also would be helpful to know a program/library that is good at working with these.
Called a pressure density chart or volume-pressure-temp diagram. (related charts are flight envelope by weight). Thank you
https://preview.redd.it/8id3rqcuvr7a1.png?width=1288&format=png&auto=webp&s=eb4cc89bf34e01e310f72481201677883e85592a
https://preview.redd.it/20r7b340vr7a1.png?width=640&format=png&auto=webp&s=b086368511f1d3b3fe2278b53e4859ece013bf5a
/r/visualization
https://redd.it/zu1kar
[R][P] I made an app for Instant Image/Text to 3D using PointE from OpenAI
/r/MachineLearning
https://redd.it/zubg2u
[OC] "Back in my day...": Boomers had up to 75% more purchasing power than Millenials and Gen Z in their early careers
/r/dataisbeautiful
https://redd.it/zu9zqq
Percent of GDP Spent By NATO Members on the Military (2% Obligation)
/r/MapPorn
https://redd.it/zuipo4
European Countries with a higher Social Progress Index than the US
/r/MapPorn
https://redd.it/zu8oh6
Just because I know everyone here loves this kind of charts: American press publication showing the differences in troop strengths among the waring countries, 1914.
/r/dataisugly
https://redd.it/ztiwmb
ISO: Data for the exact numbers that people imagine corresponding to words like "a few," "several," "lots," etc.
My ask is mostly in the title. I'm looking for data on what people infer from quantifier words in English, such as "a few," "many", "several".
Conceptually, I'm looking for how people think about these kinds of questions:
* For 10 of something, would you say "several", "many", or "something else"...?
* If someone said they had "several" of something, what's the most and least they might reasonably mean?
* Could 3 of something be "a couple"?
I think I saw an infographic with this a while back...?
/r/datasets
https://redd.it/zth26y
D Are reviewer blacklists actually implemented at ML conferences?
Are blacklists actually implemented in these conferences (ICML / ICLR / NeurIPS) given that the number of reviewers required grows every year?
Edit: Should've been clearer, sorry. By blacklist I mean a list of reviewers who are barred from reviewing because of their bad review quality in previous iterations of the conference.
/r/MachineLearning
https://redd.it/zuyy3j
Jupyter Server 2.0 is released
https://blog.jupyter.org/jupyter-server-2-0-is-released-121ac99e909a
/r/IPython
https://redd.it/zem28q
How Snowflakes are Formed
/r/Infographics
https://redd.it/zu9qp6
Trippy Inkpunk Style animation using Stable Diffusion [P]
/r/MachineLearning
https://redd.it/zvbjot
FIFA World Cup 2022 saw a surprising number of unlikely match outcomes. Here's a way to estimate how exceptional it was. I simulate an experiment when I bet on the least likely outcomes. Surprisingly this dead-simple strategy is beneficial [OC]
/r/dataisbeautiful
https://redd.it/zv556w
Here’s a playlist I use to keep inspired when I’m coding/developing/studying. Post yours as well if you also have one!
https://open.spotify.com/playlist/0SbaIICccsV3XXZVaY4o9a?si=85b1f5df776e469d
/r/bigdata
https://redd.it/zlwz17
what would you consider to be the most important practices for a newly assembled DS team?
I have started as the first data scientist in an e-commerce start-up some months ago. Although my tasks are currently more on the data engineering side, it’s a very exciting time. Now there will be another data scientist joining soon and I’m trying to figure out what some of the most important practices are that could leverage our teamwork. Whether it’s about communication or about specific code practices (unit testing, etc.), what would you consider the most important points for newly assembled DS-teams?
Thanks already!
/r/datascience
https://redd.it/zuvov7
Trinidad and Tobago’s Rig days show some correlation with the WTI Spot Oil Price.
/r/visualization
https://redd.it/zugmpn
Map of the 7,000 rivers that feed into the Mississippi River
/r/MapPorn
https://redd.it/zump06
[OC] visualizing how distorted Mercator projection is by showing what it looks like if the poles where elsewhere. Any frame in the movie is as valid as what school still teach.
/r/dataisbeautiful
https://redd.it/zu9rfu
The colour scheme
/r/dataisugly
https://redd.it/zrz54h
% of people who think one of their main goals in life is to make their parents proud
/r/dataisugly
https://redd.it/zsypae
Seen in my local paper. So many questions…
/r/dataisugly
https://redd.it/zub9mt
[P] Annotated History of Modern AI and Deep Learning (Schmidhuber)
https://people.idsia.ch/~juergen/deep-learning-history.html
/r/MachineLearning
https://redd.it/ztxyui
