Could you also add in a line for the term "midichlorians"

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I looked this information up while rewatching Bowling for Columbine. I know the AMA has taken a stand on gun violence.

That's a pretty ridiculous statement to make given the demographics of gun violence.

The reason is that so many people are filled with fear, outrage and hate everyday from right wing media. They are scared of everybody.

It’s just possible that social media comments are not fully representative of actual adult non-bot American registered voters.

This is weirdly satisfying data for me for some reason, thank you. If it wasn’t too time consuming, would there be any chance you could add in Rogue One and Solo? Rogue One I’m particularly curious about because of Donnie Yen’s intentionally repetitive “I am one with the force, the force is with me” line

I wonder what happened to all the jedi during episode 3 🤔

What about the grid?

Hey everyone I was bored so I did this.

I already had subtitles for all the Star Wars films in my laptop. So I converted them into text files and parsed through each of them the words "Jedi" and "force".

Then I plotted this graph using Python module matplotlib.

Only way to do that is to make the following year the hottest or coldest by a mile so that it shifts the entire bar so much that it remains well above or well below the rest of the datapoints, evem absolutely 0 won't be enough to shift the bar majorly so we should throw the earth into the sun to free the data points

Was pretty stable until the 2nd Obama term. Open borders, ending of stricter drug laws, and an abandonment of any sort of moral values.

>Hs in the later 1980s. Heroin was unheard of.

Heroin has been a popular drug in the US since the 1800s. The heroin overdose spike in the 2010 is from synthetic opioids. Synthetic opioids like fent weren't being pulled into there own column until 2014 and I don't believe it was in full until later.

The CDC isn't classifying data in a way people are using it. The groups are non exclusive. If you OD while on heroin, fent and vicodin you land in all 3 groups.

https://www.cdc.gov/opioids/data/analysis-resources.html

>Given the surge in availability of IMF starting in 2013, the CDC Injury Center began analyzing synthetic opioids (other than methadone) separately from other prescription opioids for 2014 mortality data. This analysis provides a more detailed understanding of the increase in different categories of opioid deaths.

Yeah, that was a tricky bit. 538 often has longer type polls (e.g. this poll is valid from 10/1- through 10/5). To handle those, I just took the beginning of the date range.

I wonder how much of this you could attribute to herding in daily approval rating polls that are released by polling organizations. I know it's something 538 and other polling aggregators and observers have been talking about on an ongoing basis, so there's probably no full answer, but I am more curious if it is more "real" to have more variability day to day.

hahahah yeah xD

The data is not complete or comprehensive, just a tentative sizing if the issue.

170k plus laid offs in 12 months is significant enough to understand the magnitude of the issue.

The goal is to compile information regarding layoffs, as stated in the title and explanation.

I understand your point, but that was never the intention.

Reddit gave us similar usernames

Data:
Social Media data sourced from Infegy, a consumer intelligence platform that collects, analyzes, and visualizes billions of social media posts.
Polling average from FiveThirtyEight’s summary of Joe Biden’s approval rating, available here: FiveThirtyEight- How Popular/Unpopular is Joe Biden?

Explanation:

This visualization tracks the aggregate average of online sentiment for posts across the internet discussing Joe Biden from January 1, 2021 through the present (n=74,409,409 individual posts). I compared that with the moving average from FiveThirtyEight’s How Popular/Unpopular is Joe Biden?
The original idea for this graph came from a Politico article that said that after the Taliban’s takeover of Afghanistan, Joe Biden’s popularity began to slip (Politico - Biden's Afghanistan Withdrawal Anniversary).
Interestingly, it looks like aggregate sentiment data form social media bears that out to some degree. Biden’s sentiment online drops as the Taliban began their advance. That drop in sentiment is matched with a drop FiveThirtyEight’s polling.
Overall though, it appears that social media data is more reactive, but less durable than traditional polling. Negative/Positive stories break in the news, which causes sentiment to go up or down.

Tools:
Python (Pandas and Matplotlib)

100% agreed with this. The only people panicking are the ones who aren't in the tech industry. Even laid off workers will find another gig, it probably just won't be for a FAANG company.

Also, there is still an error in the underlying data (aside from it just being misleading).

Oh I'm not apathetic about legalization at all. Morally, logically, and economically some kind of radical departure form the status quo is long overdue. The worst side effects of many criminalized drugs is being forced into a cage for days, weeks, or possibly the rest of your life. This has wrought nothing except decades of unconscionable human misery, all for nothing. I don't think most people recognize just how awful current policy is.

The once-great History Channel did a series called 'Illegal Drugs and How They Got That Way'. Its prob on youtube now. Its great. I just wanted to point out that each drug has its own logic for regulation, and cultural differences in drug use need to be accounted for.

They hired a lot more than they laid off, so just doing layoffs is misleading. If the goal is to have people understand tech employment dynamics, this is not an effective visualization.

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What if they separated and straightened the chunks out and then arrayed them on some sort of two dimensional plane? I feel like that would have made this more informative.