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Hot data science related posts every hour. Chat: https://telegram.me/r_channels Contacts: @lgyanf
[OC] 45 days of Intermittent Fasting
/r/dataisbeautiful
https://redd.it/za9dwm
The World’s Billionaire Population, by Country
/r/Infographics
https://redd.it/z9mp24
Am I a real reader if I listen to so many audiobooks? /s [OC]
/r/dataisbeautiful
https://redd.it/z9xln8
Q How hard is it to learn R for medical statistics?
I am a 3rd year medical student really interested in pursuing a career in research and I am trying to learn R since I heard is the best tool for medical research when doing statistical analysis. I have never used any programming language before so I am really lost. How hard is it to learn R?
/r/statistics
https://redd.it/z9ej9i
[OC] Made my first visualization. Like 3000 lines in Google Sheets, which I had to sort by hand due to different sources having different county lists
https://redd.it/z9wwra
@datascientology
[OC] How media divides us: CNN vs Fox News - What stories or topics are they pushing over the last week (Nov 24rd to Dec 1st)? How do they compare to Reuters?
https://redd.it/z9tcgf
@datascientology
Race Vs Homicide rate Vs Poverty Rate
/r/MapPorn
https://redd.it/z9j370
Have you ever worked on a team where another engineer/scientist isn’t productive and seems to be knowledgeable, but when implementing they have no idea.
Hi, I was wondering if anyone has experience with co workers who kind of just pretend they know what they’re doing, and skate by. I currently work with someone who hasn’t written a single line of code and keeps doing “research work” for future work. When we do team coding sessions they seem clueless. Go on mute and don’t contribute. It’s kind of impressive how long they’ve been skating by. Just wondering if this is common in the industry.
/r/datascience
https://redd.it/z9bug6
Looking for face experiession - video - dataset
Hi, I am looking for faces dataset, more specifically non speaking faces with expressions in video format.
I found hume.ai but they are not responding. Is there any website that offers/sells dataset of this kind that you could recommend?
Thanks!
/r/datasets
https://redd.it/z8nh6l
The municipalities of Qatar
/r/MapPorn
https://redd.it/z97gsy
[OC] HDI vs Fertility Rate of countries over the years 1990 to 2020.
/r/dataisbeautiful
https://redd.it/z9edgc
Q Using Bayesian Statistics to find best campaign offer at individual customer level...is Bayes Factor the best way to go?
Hello, I'm new to Bayesian Statistics and I wanted to see if any of you had suggestions for how to proceed here.
Let's say each month we offer customers one of two campaigns they can enroll in (they have to click Join using our app)....one is 20% off one purchase, the other is Rewards Points based total purchase. The campaign are randomized, meaning a customer may receive the 20% campaign 3-4 straight months.
I'm trying to determine which campaign is best to offer each customer. Since they have to enroll, I was going to use enroll percentage to determine the Bayes Factor.
For example, for customer 1 the results look as follows
20% off Campaign Enroll Percentage: 66%
Reward Points Campaign Enroll Percentage: 50%
For Prior Odds, I'm using 44% (which is the average enroll % for the 20% off campaign for all customers). The result is 59, which my understanding means that their is strong evidence in favor of the hypothesis that customer 1 responds to the 20% off campaign more than the Reward points campaign.
So here's my questions
1. First off, am I understanding Bayes Factor correctly and am I doing it right?
2. Is their a way to add a weight based on total number of campaign offers? For example, say for 20% off campaign the customer had a 100% enrollment, but only 2 campaign offers, while Rewards the customer enrolled in 4 out of 8 offers, it's seems reasonable to assume that as the customer gets more 20% offers, the enrollment % will drop from down from 100%. Does adding the prior odds do this already? Sorry if this isn't making sense.
3. Would it be better to calculate the probability density function for each campaign and compare or perhaps another Bayesian method?
Thank you for your help. I'm open to any/all suggestions and am not looking for you to do it for me. Just need some guidance.
/r/statistics
https://redd.it/z8v31u
People 15 and over spent 0 hours alone in 2013
/r/dataisugly
https://redd.it/z92c19
Number Of Counties That You’d have to Go Through To Go To An Ocean
/r/MapPorn
https://redd.it/z8ucft
Most visited destinations by international tourist arrivals
/r/dataisugly
https://redd.it/z7b83w
Mafia index in italy
/r/MapPorn
https://redd.it/za0jwe
Participate in a study about LGBTQ+ romantic relationship disclosure at work (18+ years old, work 30+ hours per week, have a romantic partner for 6+ months, not self-employed, work in person at least 1 day per week on average, work in the United States)
[https://usf.az1.qualtrics.com/jfe/form/SV\_bBZrWNcr7zeg2fY?TID=59](https://usf.az1.qualtrics.com/jfe/form/SV_bBZrWNcr7zeg2fY?TID=59)
Hello,
My name is Joseph Regina and I am a doctoral student in the Industrial-Organizational Psychology program at the University of South Florida conducting doctoral research under the supervision of Dr. Tammy Allen. I am inviting you to participate in a study that focuses on the unique work challenges of same-sex presenting romantic couples related to making your relationship status known and is intended to inform organizations of LGBTQ+ family-friendly policies.
Notably, the study is three timepoints and will take you under 30 minutes (\~15 minutes for Time 1, \~10 minutes for Time 2, and \~5 minutes for Time 3) to complete. Additionally, as a token of our appreciation, you will have the chance to opt in to receive $10 in Amazon gift cards.
You are eligible for this study if you meet the following criteria:
* You are over 18 years old
* You work at least 30 hours per week for pay
* You are currently romantically involved in a same-sex presenting romantic relationship for at least 6 months
* You are not self-employed
* You work at an in-person work-related site for at least 20% of your workweek (i.e., not remotely)
* You work for a company with more than 5 employees
* Your workplace is geographically located within the United States
You may access the survey by clicking here [here](https://usf.az1.qualtrics.com/jfe/form/SV_bBZrWNcr7zeg2fY?TID=59). Participation is voluntary and you can withdraw from the survey at any time.
If you have any questions about this study, please feel free to contact me at [usfworkrelationships@gmail.com](mailto:usfworkrelationships@gmail.com) or [jregina@usf.edu](mailto:jregina@usf.edu).
Thank you,
Joseph Regina
Study 003511
/r/SampleSize
https://redd.it/z9tsck
The Mississippi River and all of its tributaries. So much bigger than I ever knew.
/r/MapPorn
https://redd.it/z9zvxo
[OC] Monetization of Social Media users vary widely
/r/dataisbeautiful
https://redd.it/z9x4o9
A map visualizing the Armenian genocide - started 106 years ago
/r/MapPorn
https://redd.it/z9uvfy
A shaded relief map of South America rendered from 3d data and satellite imagery [OC]
/r/dataisbeautiful
https://redd.it/z9onek
Share your Spotify Wrapped 2022 stats (For Everyone)
https://docs.google.com/forms/d/e/1FAIpQLScsQAJbq2xAy2zidG4YH2dejL6i7cp5khdGRojxP848tvLpNg/viewform?usp=sf_link
/r/SampleSize
https://redd.it/z916o6
Types of butter and how they’re used
/r/Infographics
https://redd.it/z8y047
[R] Overinterpretation reveals image classification model pathologies - e.g. prominent models classify a black image w/ 4-5 gray pixels as "airplane" with >99% confidence
https://arxiv.org/abs/2003.08907
/r/MachineLearning
https://redd.it/z9ec6q
Sunrise and sunset times over London for the next 6 weeks (earliest sunset and latest sunrise are about 3 weeks apart) [OC]
/r/dataisbeautiful
https://redd.it/z8nypy
What's the deal with the Data Scientist job market? (and software development in general)
I work as a software engineer, and my brother works as a data scientist, and neither of us can land a single interview. We were talking about the job market during Thanksgiving last week and we both can't seem to get any interviews after hundreds of applications. Always auto rejected by the ATS systems/HR. Every job we apply for, same story. Within 1-2 weeks, we always receive an auto rejection email. We both looked at each other's resume's and our resume's clearly list our extensive experience and it's not a resume issue. I have a Master's Degree in CS and my brother has a PhD in CS. I work as a Staff Software Engineer and my brother works as a Principal Data Scientist and we can't get interviews. It makes no sense. I have worked in software development for nearly 10 years, and my brother a data scientist for over 6 years. We are both still employed but looking for a change. And the kicker: My brother has published research on Convolutional Neural Networks for medical device applications and went to CalTech (a very top tier school on the scale of MIT/Harvard if you don't live in the US) for his Master's/PhD and he can't even get an interview. Is there a mass hiring freeze going on across the industry? What's the deal? We both feel like we are sending our resumes into the abyss and they aren't even getting seen.
/r/datascience
https://redd.it/z8sxzi
Despite the total size , the green areas of North Africa are near the size of Norway
/r/MapPorn
https://redd.it/z8v2r5
Largest Ancestry by U.S. State
/r/MapPorn
https://redd.it/z8zten
[OC] Ryanair is known for its absurdly cheap fares, and charging extra for everything else. Here is their revenue breakdown
/r/dataisbeautiful
https://redd.it/z8mt96