June 17: Data Visualization and AI Overview

 How to be a Saleswoman and Titanic Predictor 101

Abstract: In this blog I will be covering how to make an excel visualization dashboard as well as how to predict who died and survived the Titanic sinkage using AI

Yesterday in STEM Skills we covered the topic of data visualization and were given the option of doing different forms of visualization. Of these choices I decided to do a excel data visualization. In this datasheet we first had learned how to link icons to certain pages within the sheet which was then followed by how to format the sheet's background which in the picture below is showcased by the blue line with the icons leading to different pages and the shadow-y backdrop of each category. Then to put the data into visualization form, still following the YouTube tutorial, I converted the data into map, line graph, doughnut charts, and shape charts as well to represent different areas of the data. At the end this is what it looked like...


So now that I have learned how to make such a spreadsheet and visualization, I will be able to put what I learned into practice with upcoming lab reports and posters as I will be able to convert the data into easy-to-understand charts that are appealing to the eye. 
Titanic Predictions
Today we talked about AI. More specifically, what it can do. AI also known as artificial intelligence is "the capability of computer systems or algorithms to imitate intelligent human behavior" according to Marriam-Webster dictionary. And today we computed and tested AI to predict who survived the titanic and who didn't and compared it to human answers, to see which performed better and the capabilities that AI holds to imitate and even be better than human intelligence. 
Prior to coding the AI me and my teammates: Katie Lam, Sanvi Guruprasad, and I all guessed and made predictions of who survives the titanic and who did not. We based our answers on gender, age, and class and if they were a woman or infant in first class, we assumed they survived as well as some of the younger first-class males. When the results were released, we had found that we were only about 50% correct. So, using this we then moved onto the AI testing.
After finishing the coding and imputing it, I found that it did better than we did in predictions but also not as great as I thought it would as it still go a few wrong. So, in conclusion although AI is advanced and can greatly help us in predictions it is not entirely reliable as it depended on what information we give them and that if it is based on human intelligence the guild lines, we put in the code might limit AI capabilities to guess when not under self-training tactics. But overall, it was very interesting to see how AI faired compared to me and my friends whose 3 minds did worse than the code. So, while AI is not right all the time it is defiantly a useful device when guessing who survived on the titanic. Thanks for reading my dear genteel audience and until the next blog bye!

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