Yeah, but it is on the internet.

Quimby

Disgusting.

Two please.

you often need to buy it from other countries. For instance, Russia. Not great.

Yeeeeah, I wouldn’t worry about that. Sure we (Australia) are conservative with our fears of mining and exporting uranium, especially with the Cold War and reactor whoopsies around the world. But historically it doesn’t take much for us to go down on an ally.

Just let us finish unloading all our coal off to the worst polluting nations first, then we’ll crack the top-shelf stuff.

I really loved your comment. I tried to reply to you, but obv couldn’t. Then tried to PM you, but couldn’t figure it out or I just can’t.

It was really insightful for both perspective on myself and on the community.

Go on…

Just curious if you can.

Oh, I’ve never looked into it, I just noticed it sometimes. I don’t say anything harmful or nasty, just unpopular so I expect downvote burial even before I hit the post button haha. I figure that’s how it’s always meant to work. Downvotes handle dipshit remarks, mods handle malicious ones. But seems entire conversations with multiple people get removed because, despite all the positive upvotes and people involved in a good ol’ fashion discussion, a mod has a different personal opinion and it all goes. Even the off-hand comments connected to that thread.

That’s a tough question in analytics lol

You mean mathematical examples? Or like examples of analytical outcomes? Keeping in mind the more analytics-heavy, the more it involves lots of sources, patterns, variables, and scenarios, but I could provide just a single example.

Edit: Oh, wait. If you’re referring to just averages… In forecasting I prefer, as a minimum, to do weighted averaging. This is where I’ll have a certain time period of cumulated historical data that provides a more stable base, however more weight is applied the more recent (relevant) the data is. This shows a more realistic average than a single snapshot of data that could be an outlier.

But speaking of outliers, I’d prefer to also apply weight to outlying data points that may skew the output, especially if sample size is low. Like 1, 2, 2, 76, 3, 2. That 76 obviously skews the “average”.

Above that, depending on what’s required, I’ll use a proper method. Like if someone wants to know on average how many trucks they need a day, I’ll utilise Poisson instead to get the number of trucks they need each day to meet service requirements, including acceptable queuing, during the day. Like how the popular Erlang formulas utilise Poisson distribution and can kind of handle 90% of BAU S&D loading in day to day operations with a couple clicks.

That’s a basic example, but as data cleanliness increases, those better steps can be taken. Could be like 25 average last Wed vs. 20 weighted average over last month vs. 16 actually needed if optimised correctly.

Oh, and if there’s data on each truck’s mileage, capacity, availability, traffic density in areas over the day, etc…obbioisly it can be even more optimised. Though I’d only go that far if things were consistent/routine. Script it, automate it, set and forget and have the day’s forecast appear in the warehouse each morning.

And yet such simple things are often incredibly hard to get done because of poor data governance or systems.

It’s not. But it is.

It’s true. I didn’t realise how much a piece of shit I was until- Waaaait a minute…

Did you just assume binary genders?

pulls out taller soapbox

How dare you!

I miss those days…

If your parents wouldn’t let you see it at 12-years old, it’s too much for Lemmy to handle. Pearls will be clutched; soapboxes mounted.

I did advanced mathematics and chose physics as one of my elective subjects in school. Nowadays, I do a lot of work based around analytics and forecasting.

“We need to find the average of this.”

“That’s easy. I’ll do some more advanced stuff to really dial in the accuracy.”

“Awesome. What’s the timeframe?”

looks at million row dataset “To find the average? Like a month. Some of these numbers are mispelled words… Why are all these blank?”

“Oh, you’ll have to read this 45 page document that outlines the default values.”

And that’s how roffice maths works. Lots and lots of if conditions, query merges, and meetings with other teams trying to understand why they entered in the thing they entered. By the time the data wrangling phase is complete, you give zero fucks about doing more than supplying the average.

I don’t have children.

School nights are when all the kids that fuck my very old mother have to log off early, so I get to engage in venerable spray ‘n’ pray duels with formidable peers. For a couple hours, I am esteemed ‘average’.

“refused”. Okay, headline.

How did Mary lose an entire pool?

Still waiting for Mattel hoverboards.

Actually… Considering how stupid people are on e-scooters, it’s probably for the best.

Maybe they think it’s in Middle-East. I’ve seen people think Portugal—Spain too—is in South America.

It’s bad business to not be honest and trustworthy. If a hacker group is known to always give back the data and not strike twice, they are obviously much more likely to get paid. No one’s paying someone known for ripping off. We see this in company ransomwware all the time. They are friendly, helpful in explaining the breech, and professional. If they were the opposite, they’d be broke.