About Storms

library(dplyr)
data("storms")

We load the dplyr package in order to retrieve the dataset called “Storms” that we will be analyzing.

The data in the Storms dataset shows the locations and characteristics of Atlantic storms that occurred between 1975 and 2022.

Tropical storms and Hurricanes by far have the highest wind speeds among all the other storm types.

Explanation: relationship between storm air pressure and max wind speeds

There seems to be a negative correlation between a storm’s wind speeds and the air pressure at its center. As each storm moves in latitude and longitude, its classification changes. For example, a storm is only classified as a hurricane if its max wind speeds exceed 64 knots. Based on what the plot shows, an interesting test to conduct would be to figure out why hurricanes always have the least air pressure among the different storms. Correlation doesn’t always equal causation so perhaps it isn’t because of the effects of the wind speeds. Does it possibly have something to do with the latitude and longitude?

Explanation: variations in latitude and longitude for storm status

These boxplots show the variation in latitude and longitude for each storm classification. There seems to be more variation in latitude than in longitude. Moreover, the median values show where these types of storms occur the most.

3D plot: Relationship between storm status, location and wind speed.

Statistics

Explanation of the Statistics

The manipulated Storms table shows the mean values for latitude and longitude for each storm designation. Although there is of course overlap and nothing is black and white in nature rather more gradient more gradual, I still think it is safe to assume that these values represent the most likely areas for these types of storms to occur due to the frequency of occurrences in the past.