RUN TCP/IP | Morgan Lucas is Tech Blogging

  Letterboxd is a personal database to keep track of what movies you've watched, want to watch, and their ratings 🎥 Now, we're looking at my own data. Everything goes from 2016 - 2020, even though some movies are dated for the years they were released. I am keeping the date watched and the year released in the data. I've hidden the Letterboxd URLs to the specific movie pages - It's not necessary - and my own username is not shown. Spoiler alert: There are movies that are highly acclaimed that...I do not like! Feel free to link to this post and go "How does she like ' Valerian and The City of A Thousand Planets ' more than ' Up '?" Check out the public charts here on Tableau Public, and follow along!

 None of this is promotional. I am not paid by Target to do this. Boy, I wish I were. Someone let them know!    I really love to cook. It's fun to find unrelated ingredients and make something out of them that's mostly palatable. This idea came to me while driving home from Target. I had bought stuff from Good and Gather, their in-house grocery brand that replaced Market Pantry. With its sleek and minimalist design packaging, it's easy to spot on a busy shelf. While not the first time I've bought G&G items, it was the first time I thought "What makes me go to this brand?" The G&G item is usually less expensive by a few cents. Target's food brands have built enough goodwill with me to take the chance. Not every item is a winner - some I still prefer a different, more established brand. Some  are so ordinary, there's no point in reviewing it. A baby carrot is a baby carrot, G&G ones come from the same field as Green Giant.    I'm guessin...

All data science is asking a question.  I've been playing in Tableau for the past month, and needed to stick something on my blog to point to on my resume. So, this webinar, hosted by Mark B at Thinkful Webinars, arrived at the right time. He gave people ample time to follow the instructions. Data Analytics - "We have all these numbers and words, what patterns in the data can we find to make money?"   There was also a case study with Chipotle - A lot of their data was scattered, and communication was poor. (Also, people were getting sick. Remember that?) With Tableau, insights were easily shared with more accessible dashboards., saving them 10,000 hours a month.  Here are some of the visual options I learned about; Because That's what Tableau is about - How to display information.