This code uses the pandas library to load a weather dataset and print some initial data like column names and sample rows. It integrates with Google's Generative AI to analyze the dataset by sending small summaries of the data to the AI model. Several analyses are performed, like summarizing the dataset, identifying common weather conditions, and calculating the correlation between temperature and humidity. To avoid overwhelming the AI, large datasets are truncated, and exceptions are handled to ensure smooth execution if something goes wrong. Finally, results for each analysis are printed.
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