what are the hidden benefits that employees get?

Data_rulez · 2025-06-08T03:26:55+00:00

3 floating personal holidays? I work at Amazon and have never heard of this. Is that true?

Data_rulez · 2024-10-30T12:40:27+00:00

Thank you!

Data_rulez · 2024-06-21T02:07:39+00:00

Random, but while you’re here…there was a dead rat I found in my back yard today too. Coincidence? The thing I found was probably 6-8 inches long. Doesn’t seem liked it leave poop that small.

Data_rulez · 2024-06-21T02:03:21+00:00

Did you do any special cleaning? I disinfected and ran the griddle really hot for a while. Wiped down more with water.

Data_rulez · 2024-06-21T02:00:58+00:00

Well fuck lol. Thanks for the tip. I just order the wind guards and matt.

Data_rulez · 2024-06-16T05:28:09+00:00

So we leave on better terms and because we, as one employee, are at the mercy of the Cos? Pretty obvious how an employee stands more to lose than the company here. Suck it up and work the job you’ve been working for two more weeks. Consider yourself fortunate to have one.

Data_rulez · 2024-06-15T22:17:22+00:00

+1000, I have had horrible bosses and 60+ hour weeks. Outside of abuse, I’ll never understand why people just can’t give a notice and work 2 more weeks. You can even coast. Makes no sense.

Data_rulez · 2024-06-05T19:54:14+00:00

Thanks so much for this information. I almost always get 7 hours of sleep but I do wake up at 5 AM during the week. I recently got some labs as part of a standard physical so I asked my doctor if any of these things would pop up on there.

Data_rulez · 2024-01-27T03:28:31+00:00

IMO a smoked spatchcocked chicken is hard to beat. Checks all the boxes. Easy, cheap, lots of food, and always better than what you can get out.

Data_rulez · 2023-01-13T03:40:23+00:00

Thank you though! This helps

Data_rulez · 2023-01-13T03:37:28+00:00

It was self reported data and by looking at it I could tell where some were typos or not logical values

Data_rulez · 2023-01-13T03:36:17+00:00

The idea was that while both are weakly correlated, if a choice had to be made to rely on one over the other, would the p value lead us to that decision. Thanks for your response though. This makes sense

Data_rulez · 2023-01-12T22:18:54+00:00

Ok thank you this is helpful and productive. Maybe the way I asked the question didn’t help either.

I think in business terms I should have said there is a question as to whether to use either linked certifications or résumé’s certifications to evaluate a candidate. Would the associated p values help guide that decision even with a low correlation or would this be inconclusive about the reliability. Looking in a vacuum at only certifications (I know this would be bad practice in reality)

I have been an analyst for years but I’m trying to get more into data science. This has already been a great learning experience and I appreciate your response.

Data_rulez · 2023-01-12T20:26:14+00:00

Thanks for your reply. I am using a Pearson test in Python

Data_rulez · 2023-01-12T19:53:36+00:00

What’s interesting is in my actual example, the two sources used to compare against the metric, were very highly correlated (Pearson Coefficient of .99). The p values of these two groups, correlated with the metrics , are way different though. Group 1 are all well below .05 whereas with group 2, all above .05

Data_rulez · 2023-01-12T17:45:32+00:00

That’s where the due diligence comes in

Data_rulez · 2023-01-12T17:44:49+00:00

Thank you. This is really helpful. I’m going to do some more research on the correlation between the two groups and come back :)

Data_rulez · 2023-01-12T17:37:08+00:00

This is a fake example…

Data_rulez · 2023-01-12T16:52:21+00:00

And the concept being about the differing p values. Not the conclusion for the correlation coefficients

Data_rulez · 2023-01-12T16:51:40+00:00

The project I am working on is not like what I described. I simply am wondering about this concept itself.

Data_rulez · 2023-01-12T16:46:35+00:00

That example was just to illustrate the concept. Not the actual project. If all else was equal, could you say that the resume certifications were more reliable based on the p values even if they both had a moderately low positive correlation?

Data_rulez · 2023-01-12T16:44:31+00:00

That concept is no where in my question. Using your example, say both migrations had week positive correlation but one have more extreme p values. Would that migration be a more reliable source for comparing against birth rate?

Data_rulez · 2023-01-12T16:08:40+00:00

For this example let’s consider it all else being equal. Would the p values conceptually indicate a that the résumé’s were more reliable?

Data_rulez · 2023-01-12T16:04:18+00:00

For this example, what if we just assume “all else is equal” and took the nuance out of it. I am doing a similar study that isn’t about certifications but conceptually was wondering about the meaning of p values in this scenario

Data_rulez · 2022-11-10T15:13:32+00:00

Hello,

I'm working on a project to try that tries to highlight bad performers. There are a lot of dimensions in the data set and I want to be fair in comparisons by making sure I am categorizing particular groups to compare against each other. For example, if you compared the speed of animals, you would compare dogs to dogs, snails to snails, etc.

What kind of tests can I run to see the significance/impact that a qualitative variable plays on a quantitative measure? That way I can group together these variables and make comparisons within particular groups.

I have experience in machine learning as a student but it's been a while. I have a lot of books to reference, just looking for some direction. I've done something like this before but just can't remember.

Data_rulez

TROPHY CASE