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Day 9: Visualization and AI Overview

 

Data Visualization: McDonalds Dashboard

I learned how to create a simple dashboard that consisted of sales, charts, and customer satisfactions. With this visualization, users could easily navigate between pages, see raw data compared to visualized data, and have easy access to contact information. With this dashboard data can be more easily understood and more easily analyzed whether it's for company improvement or company stats. 


What is AI?

    AI works based on data that it is taught whether it is text from a news outlet or a collection of art pieces. With this data, it can use its taught information to provide responses to prompts or stitch together words or images that correlate with the prompt. This technology can be used to generate all sorts of media whether it's a story, a summary, an image, or art.

How Humans Determined Who Would Survive vs Code:

Similarly to AI, we were given a set of videos to be our clues/our human "data." Based on these videos, we gathered that children and women were typically prioritized over men, so based on the people's names and ages, we guessed that all women and children survived, with one or two randomly selected men. My code assigned woman survivors as well and tested it along real survivors. While it could be better, this process had ~70% accuracy, which was not bad for testing only one condition.

What I Learned:

Besides the AI Titanic code, I also learned about some AI ethics in STEM in Society today as well. Specifically whether or not AI developers should have free reign to certain data, or if data should be heavily restricted. I found this discussion interesting along with the way it connected to our data collection process in STEM Skills. 


    

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