Sure do. And I eat way too much fast food so it actually would be nice to pretend it doesn’t exist here.

Right, but that in-process R&D is just that, in process. PFE doesn’t deserve credit for this as it was already in the works prior to the acquisition. The acquired company had already spent/allocated the money.

And while it could be argued otherwise, these acquisitions continue to consolidate IP and influence upwards to a smaller number of massive companies. Which long term will not benefit consumers

Edit: even if in process R&D is included, their 10-K shows only $802m attributed to “restructuring and acsquisition related costs” for 2021. And Im not seeing it anywhere else on the income statement/balance sheet/or statement of cash flows.

For Q3, as you’ll see in OP’s infographic, in-process R&D adds another $502m for a total of $3.2b in R&D. Way below their net income of $8.6b.

I asked what am I polluting.

CO2 is not a pollutant.

It’s not the acquisition itself, it’s the in-process R&D that transfers to Pfizer. It’s not allowed to be expensed, it has to be capitalized. They money they spend on the acquisition for R&D replaces money they would’ve otherwise spent on internal R&D

Co2 is an infrared absorber, that's the problem.

And yes, people measured, the fact that co2 absorbs infrared makes it easy to measure its quantity. People measured how much the USA releases, then they divided it by the population to get an average.

It might be easy to miss since the logo for Jack's can look similar to Jack in the Box's if you're not paying attention.

That some franchises have much more rural reach than others

Wait so Charlotte/piedmont area has the only Jack in Box on the east coast? That's kinda weird.

CO2 isn't a pollutant. Plants need it to grow and thrive.

You've measured the CO2 I put out?

This is basically the Nasdaq during this time period.

Hi everyone,

I am currently plotting, measuring, and visualizing every single high school baseball field in the United States. I currently have all of the data for Alaska, Ohio, Utah, Hawaii, and West Virginia (currently working on Maine). This is my second iteration of this type of graphic. Ohio's version is done but needs to be reformatted. Here are the other works of mine showcasing the weirdest fields of the states I listed previously:

• Ohio part 1
• Ohio part 2
• Ohio part 3
• Utah
• Hawaii
• Alaska will not have a weirdest field version as all of them are relatively normal.

And here is the link to the other overlay graphic I made:

• Hawaii Overlay

​

All of these can also be found on my Twitter. Enjoy everyone :)

Sources: Google Maps, Alaska School Activities Association, asaa365.com

Tools: Google Sheets, Adobe Illustrator, Adobe Photoshop

This kicks ass now, good job!

you think you could adjust for population density somehow?

Thanks! Just seems like a lot of these chains just skip New England entirely

To be fair, I'm not sure a lot of people in the US realize, either. I've lived on both sides of the country, which is why I know, but most folks don't do a full 3,000 mile move to find out. You're good in not knowing before ~

Fair shout. I‘m not from the US so I wasn’t aware of that

That's a fair point

Then again, it looks like they're concentrated in hurricane areas (as if swept there by high winds)

Fun fact with Carl's Jr, that's one of those companies that has a different name depending on coast - On the easy coast they go by the name Hardee's! So that map might need a bit of tweaking!

Also depending on which side of the country you're on, you either have Ceckers or Rally's, but they're also the same company with all the same logos and patterns otherwise.

Done: https://www.reddit.com/r/dataisbeautiful/comments/zl3bta/oc_geospatial_distribution_of_different_fast_food/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

Done: https://www.reddit.com/r/dataisbeautiful/comments/zl3bta/oc_geospatial_distribution_of_different_fast_food/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

Done: https://www.reddit.com/r/dataisbeautiful/comments/zl3bta/oc_geospatial_distribution_of_different_fast_food/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

Agreed. Came here to say same thing - OP should decorrelate it with respect to major indices first. Given the massive drop over the course of this year and based on what I'm seeing here, I'm guessing the result will be either underwhelming or maybe even demonstrate general growth

FEMA uses a metric called The Waffle House Index so inwas sure they were all over the US

Made a new versions including your suggestions: https://www.reddit.com/r/dataisbeautiful/comments/zl3bta/oc_geospatial_distribution_of_different_fast_food/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

Thanks for the inspo :)