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The Art of Data Refinement: Severance Analyses
By: Lucy D. >
The Art of Data Refinement: Severance Analyses
By: Lucy D. >
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Data curation sources
I compiled datasets from transcripts, audio, and visuals from the show.
Data curation sources
I compiled datasets from transcripts, audio, and visuals from the show.
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Transcripts
After each episode, I scraped the transcripts and added them to the mdr R package
Transcripts
After each episode, I scraped the transcripts and added them to the mdr R package
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Transcripts
This allowed me to do things like:
Analyze who is talking >
Sentiment analysis >
Milchick analysis >
Transcripts
This allowed me to do things like:
Analyze who is talking >
Sentiment analysis >
Milchick analysis >
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Audio
The pitch of the elevator tells a story, so I curated a dataset of each time we hear the pitch.
Audio
The pitch of the elevator tells a story, so I curated a dataset of each time we hear the pitch.
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Audio
I also had a theory about the pitch of an actor’s voice differing depending on whether she was playing an innie or an outie
Audio
I also had a theory about the pitch of an actor’s voice differing depending on whether she was playing an innie or an outie
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Visual artifacts
There were lots of opportunities to painstakingly extract information from the screen
Visual artifacts
There were lots of opportunities to painstakingly extract information from the screen
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Visual artifacts
Or like this analysis which estimates when the employees joined Lumon based on their employee codes printed on their badges.
Visual artifacts
Or like this analysis which estimates when the employees joined Lumon based on their employee codes printed on their badges.
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mdr R package
You can find all of the data in the mdr R package
mdr R package
You can find all of the data in the mdr R package
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quarto
The website and these slides were all made in Quarto!
quarto
The website and these slides were all made in Quarto!