Blog Post: Next Steps - AlexSanford13/Planes_vs_Animals GitHub Wiki

The Pandas Library

Or how I learned more complex data analysis

While Python itself is a powerful tool, I have learned that others have taken this tool and built upon it. To these ends, in class we began learning the joys of the Pandas library. This takes something that is already fairly complex, and makes it simultaneously more and less complex at the same time. However that is possible.

Using Pandas though I am able to finally create what is effectively a csv file within the python scripts that I can extract information from to get an even better picture of the data, otherwise known as Dataframes. Using the Dataframes tools I was able to then extract out subsets of the data, such as the amount of damage caused at each airport to start to get a better image of which airports have more strikes that are more commonly damaging to the aircraft. As with the previous weeks, I did include my Jupyter Notebook for this stage as well to better grasp just how I analyzed the data. Again, I did comment and use markdown cells to explain step by step what my code is doing.

This is where I will draw my data and results from for the project for the first iteration of my project. While this is by no means the final results of what I would like to see from the data set, with my current skills it is as close as I can come. I hope to better grasp my data analysis tools over the next few weeks to then reapply these skills, and some more robust tools to better display the information as I hope to actually display it.