Data Visualization using Python

PETER NDIRITU THUKU
PETER NDIRITU THUKU

February 17, 2023

Data Visualization using Python

Using Python, we can visualize the precipitation data of Seattle and Austin in an engaging and informative way. We can use the matplotlib library to create a line graph to compare the monthly precipitation of both cities over a set period of time. The line graph can be further enhanced by adding labels for the months, colors for each city, and a legend to identify the cities. Additionally, we can create a bar graph to compare the yearly precipitation of both cities, which can be further enhanced by adding labels for the years, colors for each city, and a legend to identify the cities. Finally, we can create a scatter plot to compare the average monthly precipitation of Seattle and Austin. This can be further enhanced by adding labels for the months, colors for each city, and a legend to identify the cities. By using Python to visualize the precipitation data of Seattle and Austin, we can gain a better understanding of the differences in precipitation between the two cities.


Tools used

ju

Plug-ins used

Matplotlibseaborn

tags

climate changeUNUnited States

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