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Parker Rogers

@parkerrog

Spirit Animal: Mountain Goat

Joined July 2011
  • Tweets338
  • Following444
  • Followers453
49Media
Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)Photo by Parker Rogers (@parkerrog)
Remotion is addicting. Also it’s absurd that I can create a video like this with ai when I have almost zero graphic design experience.
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Meet the MistleBros, my once a year Christmas cover band. Vol. 6 - “Coming Home This Christmas” (Jonas Brothers) Happy holidays!
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I argued with myself for four hours putting this together. The goal wasn't to pick my favorites, even though most of them are. It was to find the one album that instantly takes me back to that specific year.
Image from Parker Rogers (@parkerrog)
Image from Parker Rogers (@parkerrog)
Image from Parker Rogers (@parkerrog)
Image from Parker Rogers (@parkerrog)
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My little Leia Bean suddenly passed away last weekend. Dogs are irreplaceable and precious. Give yours a big hug for Ms. Leia Bean ❤️
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When the world says you can’t do something, keep moving forward 👊🏻
Image from Parker Rogers (@parkerrog)
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Be careful when dealing with father + son duos with the same name. I just realized I’ve been sending heinous Instagram posts to my best friend’s dad for over 3 years.
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Just wrapped up @paradimelabs's Movie Data Modeling Challenge! 300+ participants used SQL & dbt to dig into movie industry insights and compete for a $1500 prize! Check out my blog for the best insights. bit.ly/3KDQfnL Here's the sneak peek 🧵
Blockbuster Analytics: Paradime's Movie Data Modeling Challenge Highlights | Paradime

Blockbuster Analytics: Paradime's Movie Data Modeling Challenge Highlights | Paradime

Learn about our dbt™ Data Modeling Challenge - the movie edition, the winners, and the insights uncovered.

paradime.io
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🎬 What are the all-time top ten movies by "combined success" (revenue, awards, Rotten Tomatoes rating, IMDb votes, etc.)? 📊 What is the age and gender distribution of leading actors and actresses? (This one is thought-provoking!)
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🎥 Who are the top directors, writers, and actors from the top 200 highest-grossing movies of all time? 💰 Which are the top money-making production companies? 🏆 Which films are the top "Razzies" winners (worst movies of all time)?
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Overheard at coffee shop: “You been following this Kendrick and Drake beef?” “No, I talk to girls.”
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The dbt™ Data Modeling Challenge - Movie Edition is LIVE! And the submission deadline is May 26th. This cringey video explains all the details… see video description to sign up! bit.ly/3UimJIU
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The NBA Data modeling challenge was San absolute blast, and it’s time to run in back with a new data sets - Movies 🎬 bit.ly/3JvSlpq
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From now - May 26th, data professional will utilize real, historical Movie and TV series data to craft SQL queries, develop dbt™ models, and derive insights, all for a chance to win a $1,500 Amazon gift card! If you’re interested in participating or learning more, see link 👆🏼👆🏼
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I just built a dataset containing historical data about movies and TV shows. Seconds before publishing this dataset to the public, I discovered it had 100k+ rows of porn films. Lesson: always doublecheck your work. ✅✅
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I recently wrapped the "NBA Data Modeling Challenge" where 100+ participants used SQL + dbt to generate insights from... you guessed it... historical NBA Data. In this blog, I highlighting some of my favorite, participant-generated insights! bit.ly/nba-challenge-insight…
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Insights include: - How the 3-pointer has dramatically changed the NBA - All-time most consistent playoff performers - Top "shoulda won" MVP candidates - Most clutch NBA players ever - Highest paid NBA players (infl. adjusted) - Most over/undervalued players in NBA history
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This wordy sentence makes me wanna headbutt my phone:
Image from Parker Rogers (@parkerrog)
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A glory hole, but for food. That’s my next restaurant venture.
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The competition is simple: Utilize real, historical NBA data to craft SQL queries, develop dbt™ models, and derive insights that would be interesting to NBA fans and/or general managers.
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Wait why didn’t anybody tell me that Yellowstone was a subpar drama? I’ve only heard good things, but I’m 4 episodes in and I feel like I’m watching the pilot season of a TV show that never got picked up.
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