What do you think is the most commonly used word in @theofficenbc? What about by character?
Check out some word clouds I made of our fav characters from #TheOffice using the new #shRute package 👩🏻💻
Bonus: How many times do you think Michael actually said "That's what she said"?
@theofficenbc Michael Scott's most commonly used words (the larger the word the more it was used) for all seasons of The Office:
Jim's most used words:
Pam's most used words:
The Nard Dog's most used words:
This one may be my favorite bc you know it's a whole bunch of "ohmygod ryan?!!"
Darryl's most used words (so happy "na" is like his #1 😂💀):
Dwight's most used words:
Creed's most used words:
Ryan's most used words (sooo sad wuphf didn't make it 😪):
I could have filtered "pum" but I feel it is pivotal to her character so 🥁
"That's what she said" broken down by #TheOffice characters
We'll end it with words stats from the entire show/all characters 🥳
Used #RSentiment package (Bose & Goswami, 2018) to analyze sentiment in all seasons of #TheOffice by character - sarcasm shown by percentage (%) of all lines
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✨🧵✨ After that insane response to my job news - here’s a thread about how I ended up at my dream job w/Disney & an illustration of why an untraditional path to tech should never stop you (& is maybe better?):
When I was little I loved computers/math/science/the brain/language. My mom was a school psychologist so she always called me her little speech therapist (which makes sense bc to her that was a job that she knew of that involved language).
From the time I was 7yo I was that kid that stomped around saying ‘I’m going to be a speech pathologist!’ I still liked math/science/computers, but figured I could worry about that later.
I went to the 50th Anniversary of The Walt Disney Archives exhibit @BowersMuseum today! Here is a thread of some of the cool Disney history straight from @TWDCArchives (including the first ticket ever purchased at Disneyland!😱) :
I can't believe I used to avoid using code from tutorials. Please do NOT think this is plagiarizing if you're first starting out in data science. Once I started pulling bits+pieces from different tutorials for my personal projects, it was unbelievable how quickly I started 1/4
understanding concepts. By pulling a few lines here and there from different tutorials doing 'the same thing' I start to see what is actually happening in the code and adjust it accordingly for my use. 2/4
Oftentimes this results in something that doesn't even look like where the tutorial started.
Please also always be sure to give credit where credit is due + comment on tutorial pages. 3/4
Literally getting my phd at the only university designed for deaf and hard of hearing students in the world, all of my classes, lectures, comps, defenses, and proposals are in sign language and, even with almost four years’ experience with this...
I learn something new about this culture and language every. single. day. The depth and complexity is equivalent to that of any spoken language culture and, in my humble opinion, tends to be vastly more interesting.
I think bc it INSTANTLY challenges any person’s preconceived (unconscious) notion of what language is.
I’m super interested in the arithmetic skills of cast members assigned to the queue line. Their speed/accuracy for simple math when assigning seats/positions in rides is so impressive and theres no way the processing is taking place the same way as someone who isn’t as practiced.
I would also like to add in the variability of FP+, large groups, single rider, and guests who use wheelchairs. All while needing to keep the line constantly moving and communicating with fellow cast members and the mob of guests in standby.
I see a lot of use of gesture/ representation being used (i.e. finger representation). Assuming that’s insurance for when a guest doesn’t hear within the chaos of the ride and for guests that don’t speak English. But I don’t see it consistently so I wonder if...