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Calculating Percentage Change on Time Series Data in Pandas
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Subhadip Mukherjee on Instagram: "Don't let missing data ruin your analysis! 😵‍💫 Swipe through to learn 3 essential Pandas methods for handling NaNs: `dropna()`, `fillna()`, and `interpolate()`. 🐼✨ Each method has its pros and cons, and choosing the right one depends on your specific dataset and goals. 🔸 `dropna()`: The quick fix, but use with caution to avoid losing important information. 🔸 `fillna()`: The flexible workhorse for most situations. Imputing with mean, median, or mode is a com
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