US Hurricane Data: 1851-2019 (Continued)

Learn how to present hurricane data using different Python scripts.

Presenting hurricane data

Now, looking at our data, we’re going to suggest breaking out the three metrics: hurricane category, barometric pressure, and maximum wind speeds. Our thinking is that there’s little to gain from the added complication by lumping them together, and we risk losing sight of essential differences between incidents of lighter and more severe storms.

Of course, we can always isolate individual metrics to see what their distributions would look like. Using value_counts against the Category column, for instance, shows us that the lighter category 1 and 2 hurricanes are far more frequent than the more dangerous events.

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