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Not only for penny items academic.oup.com/jeea/article/1

GitHub

@github

23h

See a project you love? You can now make a copy of it! 🥳 We'd love your feedback, so drop us a line in our discussion: github.co/copy-github-pr

0:35

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@miguelgrinberg@mstdn.social

@miguelgrinberg

Feb 4

Did you know this trick that enables "await" in the Python REPL?

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Replying to

I was working with some

@worldbankdata

and found pandas-datareader. It gives me up to date remote access to their data. This is better than downloading a CSV and structuring the data.

Replying to

and

In most cultures throughout history teenage girls were married off to older men in marriages arranged by kin, so this claim seems quite obviously absurd.

Jimmy Koppel

@jimmykoppel

Hyrum’s Law applies, even when you take into account Hyrum’s Law. Go's map iteration order is random to prevent dependence on its order. Then someone made a load balancer depend on its randomness. But it wasn't random enough. news.ycombinator.com/item?id=346365

Matt Dancho (Business Science)

Ph.Demetri

@PhDemetri

Feb 4

Eeh, I see where this is coming from. If the dots are data, and the data are discrete, why not just use a … quantile dot plot? KDE plots are never a good idea in my opinion.

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@mdancho84

Feb 4

Stop using boxplots... Use this plot instead. bit.ly/3GdJRRz #rstats #DataScience

Davis Vaughan

@dvaughan32

dplyr 1.1.0: The power of vctrs - Tidyverse

Post 3/4 for dplyr 1.1.0 is out! #rstats 🎉 Today, we'll look at how the vctrs 📦 has upgraded dplyr's vector functions, like `case_when()` and `between()`. We'll also look at two powerful new helpers: `case_match()` and `consecutive_id()`!

tidyverse.org

All of the dplyr vector functions, like `between()` and `case_when()`, are now powered by vctrs. We've also added two powerful new helpers: `case_match()` and `consecutive_id()`.

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A note on industry concentration measurement

1/N New note with

on measuring industry concentration in Compustat data (i.e., just publicly traded firms). We find Compustat isn't well suited for this particular task, consistent w/ prior literature for on earlier years/fewer industries.

federalreserve.gov

The Federal Reserve Board of Governors in Washington DC.

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@hrbrmstr@mastodon.social

boB Rudis

@hrbrmstr

This is a delightful notebook that showcases almost all the crunchy goodness in

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How many times could the Lord of the Rings trilogy have been replayed in your lifetime? Want to magically reveal a disco dino?

Check out and tinker in our Taste of Observable notebook for this & other examples highlighting how Observable speeds up collaborative data work!

twitter.com/observablehq/s…

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Matthew Rocklin

@mrocklin

Cython is the reinforced concrete of #PyData . I encourage library authors and users to engage in this survey. Making Cython better improves all of our lives.

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Areg Melik-Adamyan

@aregm

Hi there! Here is a small survey that I would like you to participate in about Cython. Retweets are welcomed! forms.gle/FEuiGkdrFJxWf3 @mrocklin @teoliphant @ralfgommers

Lucy D’Agostino McGowan

@LucyStats

🗣 Interested in conducting a sensitivity analysis for unmeasured confounding? It's easy! Here's a quick paper with several methods depending on your goals & what information you have available with real-data examples and {tipr} #rstats code link.springer.com/content/pdf/10

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Stephen P. Jenkins

@StephenPJenkin1

Measurement error matters: new paper w/

@friosavila

. We model survey measurement error, admin measurement error, linkage error, and reference period error (earnings ref period in survey not same as in admin data). Error distribution parameters vary with covariates. Open Access

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NBER

@nberpubs

Using market power to address negative externalities is much less effective than simple tax instruments, which could reduce drinking by 9% and increase consumer surplus, from

@conlon_chris

and

@nirupama_rao

nber.org/papers/w30896

Econometrica

@ecmaEditors

econometricsociety.org/publications/e

A dynamic spatial general equilibrium model with forward-looking investment and migration decisions, which provides a theoretical rationalization for empirical findings of persistent impacts of local shocks from

@BennyKleinman

@ErnestLiuEcon

@ReddingEcon

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Sam Firke

@samfirke

#rstats janitor version 2.2.0 is now on CRAN! Lots of updates in the two years since 2.1.0 came out, see more at sfirke.github.io/janitor/news/i

Steve Haroz

@sharoz

Literally every data analysis and visualization web tool would be infinitely better if they just had a "download as CSV" button.

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Tobias Rüttenauer

@ruettenauer

Now with issue number in SMR🥳 Fixed Effects Individual Slopes (#FEIS) - How heterogenous effects of controls can change your results in #TWFE Applications: - #marriage wage premium - return to #preschool programs #OpenAccess: doi.org/10.1177/004912 #soctwitter #EconTwitter

Arthur Spirling

@arthur_spirling

It’s a tough message, I guess, but the viz is just not the key value added. Esp not in an era of much broader data/software literacy where folks can write their own plot routines or whatever. People just want the data. Let them get it.

Kevin Rinz

@kevinrinz

Okay, now for what we’re giving you: lots of detailed data on state income distributions for 1998-2019! kevinrinz.github.io/data.html The paper has examples of how one might use measures like those we develop for convergence analysis, but the data we’re publishing are flexible

kevinrinz.github.io

Data

Anna Stansbury

@annastansbury

Fascinating new paper - the stylized fact of regional divergence in incomes across states in the US is driven almost entirely by the top portion of the income distribution. At lower percentiles, there's actually been some weak convergence.

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Kevin Rinz

@kevinrinz

Prior studies often consider the relationship between mean state income in some base year and income growth over some subsequent period. Extending this approach across the distribution shows top percentiles actually *diverging* while the rest of the distribution converges slowly

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Richard McElreath

@rlmcelreath

Polya explains the problem solving technique

Doing some research for next lecture, there is actually a recorded lecture from George Pólya walking a class through problem solving and conjecture. For the 1% of my followers at my nerd level...

youtube.com

I dont have any copyright over this video. Just found this on web and surprised this was not on youtube. Hope this helps.

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Justin Sandefur

@JustinSandefur

1pp aid/GNI = 0.35pp growth? was just citing this -- still think it's is one of the simplest and most compelling papers in the aid-growth literature, but also very frustrating as a reader since it's basically an RDD paper without the standard RDD graphs nber.org/system/files/w

Titus Brown

@ctitusbrown

gosling-lang.github.io/gos/ - gos, declarative genomics visualization in Python - looks awesome. Like, really awesome.

Andrew Gelman et al.

@StatModeling

On the ethics of pollsters or journalists or political scientists betting on prediction markets statmodeling.stat.columbia.edu/2023/02/02/on-

Sebastian Durandeu

@sebadurandeu

Great exercise for any programmer computers-are-fast.github.io, thanks

@b0rk

and

@kamalmarhubi

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Ryan Burge

@ryanburge

I don't think people fully grasp how much of Protestant Christianity is going to die off in the next 3 decades. 68% of Missouri Synod Lutherans have seen their 55th birthday. It's 57% of Southern Baptists. There's no major denomination where a majority are under 45 yrs old!

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Jim Kitchens

@revjimk

@ryanburge I'm looking for a graph you previously posted showing age distribution profiles for a number of mainline protestant denominations. Could you pop it up again. I just remember that the PCUSA didn't have hardly anyone under the age of 65!

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Lee Edwards

@terronk

StackOverflow traffic dips as developers turn to ChatGPT for solutions | TechCabal

Exhibit A of inherent challenge in self-serve analytics. The data may be right, but inexperience in data leads to the wrong conclusion. People are sharing this and it’s absurdly wrong. “Traffic down 11% since ChatGPT launch.” Can you spot the problem?

techcabal.com

Naspers-owned developer knowledge-sharing platform Stack Overflow has seen its traffic plummet since the launch of OpenAI’s conversation AI tool ChatGPT.

Kevin Rinz

@kevinrinz

Still miss American FactFinder? Want to help data.census.gov, uh, work better? Want $40? Check this out: research.rm.census.gov/jfe/form/SV_3v

posit::glimpse()

@posit_glimpse

Next post in the journey on features in the new {dplyr} release! Learn about .by in this post.

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Davis Vaughan

@dvaughan32

Post 2/4 for dplyr 1.1.0 is out! #rstats

Today, we'll look at `.by` - dplyr's new per-operation grouping syntax (inspired by data.table's own `by` argument)! With `.by`, you never need to remember that pesky `ungroup()`

tidyverse.org/blog/2023/02/d

NBER

@nberpubs

Returns to experience in teaching estimated using supervisor ratings from classroom observations, from Courtney A. Bell, Jessalynn K. James, Eric S. Taylor, and James Wyckoff nber.org/papers/w30888

Laura K Gee

@LauraKGee

Economic Science Association

Thanks @EcSciAssoc for making replication materials available in one place! Likely great materials in here for students doing replications, those who are building off existing experiments etc. Extra thanks to data editor Eva Ranhill

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@EcScienceAssoc

The @EcScienceAssoc wants everyone to know about our new database of replication materials economicscience.org/replication Got questions? Contact our data editor Eva Ranehill data-editor@economicscience.org #ExperimentalEcon #EconTwitter

Lee Crawfurd

@leecrawfurd

Cool new subnational-aggregate gender dataset

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Camille Belmin

@BelminCamille

Nov 30, 2022

1/ Are you interested in gender data from low- and middle-income countries?

Search no more! We created LivWell, a new longitudinal dataset about the living conditions and well-being of women in 52 countries. We wrote a paper about it in @ScientificData

nature.com/articles/s4159

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Avra

@Avra_b

🚀 Updated my very first

@streamlit

app - "PubLit" - Now, uses

@OpenAI

#gpt3 to look for relevant scientific background based on the publication's title - Summarise the abstract - Visualization with newly added Streamlit supported #plotly theme 📌App- publitai.streamlit.app

1:08

5.9K views

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Vincent Arel-Bundock

@VincentAB

𝚖𝚊𝚛𝚐𝚒𝚗𝚊𝚕𝚎𝚏𝚏𝚎𝚌𝚝𝚜 0.9.0 is a BIG📦release! Simple yet powerful tools to help you interpret the results of over 70 classes of models in #RStats (LM, GLM, GAM, discrete choice, mixed-effects, bayesian, etc.) 🧵 on some cool new stuff. vincentarelbundock.github.io/marginaleffect

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James Surowiecki

@JamesSurowiecki

Complete trash move to tweet this lie. What Biden said in March was that if we sent Abrams tanks staffed with American crews, that would be WWIII, since it would be the US going to war with Russia. But we are not sending American tank crews to Ukraine.

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TaraBull

@TaraBull808

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Arthur Spirling

@arthur_spirling

“How Differential Steering Works” (1937) is truly one of the most informative vids I’ve ever seen. Not doing a bit here btw youtu.be/yYAw79386WI

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Nathalie Jacoby

@nathaliejacoby1

Jan 30

What black and white movie is still definitely worth watching today?

@teej_m

SQL databases don't like to reshape, pivoting out is poorly supported. We still have options. One option is the PIVOT function. PIVOT needs an aggregation function to work. The trick is to use COUNT(column), which gives us one-hot encoded integers.

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Doris Lee

@dorisjlee

Day 4 of #pandas-in-DB v.s. #SQL week For #machinelearning, one-hot encoding is a common operation for transforming a categorical feature into a set of binary attributes. Now, how would you do this in your #datawarehouse?

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Tiago Peixoto

@tiagopeixoto

I'm torn about this. I'm not sure what I hate the most: Overfitting or copyright law.

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Eric Wallace

@Eric_Wallace_