Summary
Creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
After assembling the dataset, we used Matplotlib to plot various aspects of the weather vs. latitude. Factors we looked at included:temperature, cloudiness, windspeed, 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 and correlations witnessed.
Visualizations: Max Temperature
Max Temperature(F) vs. Latitude
As expected, the weather becomes significantly warmer as one approaches the equator (0 Deg. Latitude).
More interestingly, however, is the fact that the southern hemisphere tends to be warmer this time of the year than the northern hemisphere. This may be due to the tilt of the earth at the time of the year this data was gathered.
Visualizations: Humidity
Humidity (%) vs. Latitude
Humidity does not show a strong correlation to latitude.
The visualization shows a great variety of humidity percentages at different latitudes. Therefore, we cannot conclude that there is a conclusive pattern between humidity and latitude.
Visualizations: Cloudiness
Cloudiness (%) vs. Latitude
Cloudiness does not show a strong correlation to latitude.
The visualization shows a great variety of cloudiness percentages at different latitudes. Therefore, we cannot conclude that there is a conclusive pattern between cloudiness and latitude.
Visualizations: Wind Speed
Wind Speed (mph) vs. Latitude
Wind speed appears to slightly increase as we move away from the equator.
However, to conclusively describe a pattern, we would need to go beyond the range in data to reach cities at closer to the poles. Only then can we have a sample large to confirm the pattern.
Comparison
"What's the weather like as we approach the equator?"
Now, we know what you may be thinking: "Duh. It gets hotter..."
But, if pressed, how would you prove it?
Comparison: Latitude vs X
Click any plot to get an in-depth analysis.
Contact
I am a loyal hardworking team member with experience in category management and sales analysis. I love telling stories with data sets.
Location:
South Eastern Suburbs,Melbourne, VIC
Email:
renzoonly@outlook.com
Call:
(61) 0490 934 658