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June 17: Visualization and AI

 Visualization

    We worked on data visualization over the last 2 class days. Below was the visualization I made to make McDonalds sales make more sense at a glance. Below are the total sales, profit, and number of customers along with sales by country, costumer satisfaction and sales trends. I have found that just looking at the numbers directly usually makes more sense to me then a bunch of fancy pie charts and maps but I can see how they would be useful. It is definitely really helpful for showing off numbers to those who need to get it at a glance or did not work closely with the data.


AI

    AI or Artificial intelligence is a really bad name for what is essentially a bunch of statistics. For example we used it to guess who would have survived and who would have died on the Titanic. To do this we got a list of training data which is a bunch of details about people on the ship and whether or not they survived. The code takes that data and uses it to construct trees which it follows to decide who it thinks lives and who it thinks will die. We later ran the model made with the training data on a test set of data which we guess right with a little less then 80 percent accuracy. AI is really interesting in how it works and I really wish this side of it was talked about more.

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