GitHub - xxd14n4xx/Data-Analytics-Intro: I start with temperature conversion. Then I look into student exam scores looking at min/max/avg. Then I end it with analyzing athlete info using pandas. I find missing values, identify the highest paid athletes, and I examine correlations. Through these exercises, I was able to understand Python's data handling capabilities.

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I start with temperature conversion. Then I look into student exam scores looking at min/max/avg. Then I end it with analyzing athlete info using pandas. I find missing values, identify the highest paid athletes, and I examine correlations. Through these exercises, I was able to understand Python's data handling capabilities.