Summary: Latitude vs X
The purpose of this project was to analyze how weather changes as you get closer to the equator. To accomplish this analysis, I pulled data from the OpenWeatherMap API to assemble a dataset of over 500 cities.
After assembling the dataset, I used Matplotlib to plot various aspects of the weather vs. latitude. Factors I looked at included: temperature, cloudiness, wind speed, and humidity. This site provides the source data and visualizations created as part of the analysis, as well as explanations and descriptions of any trends or correlations found in the data.
Maximum Temperature
Cities closer to the equador have higher temperatures but, interestingly, latitudes further from the equador in the north have lower temperatures than those further from the equador in the south. This is most likely because there are simply more cities in the northern end of the hemisphere, while the southern hemisphere is Antarctica, where there are no cities.
Humidity, Cloudiness, Wind Speed
There are no clear patterns or relationships between latitude and humidity, cloudiness, or wind speed. Nor are there any clear relationships between longitude and any of the four measures of weather. Interestingly, cloudiness seems to cluster around 0% and 100%.