Harpreet Singh’s Post

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Data Science & Analytics @ Kore.ai Inc. | Ex - Uber | NIT Jalandhar'20

How I Started Making 💸 a Million a Year 😎! Recently, at a gathering, I reconnected with an old friend—an almost 80-year-old NRI millionaire 🌍💼 who had returned to India 🇮🇳 from Canada 🇨🇦. We were sitting at a table 🍽️ with eight other folks, all farmers 🚜 earning decently in India. Curiosity got the best of me, and I started wondering what the average income 💰 of each person at the table would be. After a quick calculation, the result came out to be just over a million a year. So, technically, I'm a millionaire too, right? 🤑 But wait… am I really a millionaire? 🤔 Of course not! ❌ What just happened? 🤷♂️ As I pondered this, my elderly friend left the table to refill his glass 🥂. I recalculated the average income with just the remaining people at the table, and guess what? It was much closer to my actual earnings. The problem with my first calculation? An outlier 📊. In data analytics, dealing with outliers is essential 🧠. You can’t just send them off to refill their glasses, so techniques like the IQR method or Boxplot in Python 🐍 come to the rescue. Also, using the median instead of the mean often gives a more accurate picture when outliers are involved. Properly handling outliers in your data can eliminate skewness and significantly improve the accuracy of your analysis. So next time you're working with data, make sure to treat those outliers well! ✨ #DataAnalysis #Data #Analytics #Outliers #DataCleaning

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