Hughes

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  Co2 Vs. thermal efficiency

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  code

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  code

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  company vs. thermal efficiency

Inspiration

The inspiration for this project was not knowing what to do with data. Data analysis is a tool that can guide decisions in the right direction, and for our case, what can we meaningfully conclude with 1866305 rows of data?

What it does

This code essentially merges datasets and computes large sums of data for us to analyze meaningful trends etc.

How we built it

We built it using python - using glob, pandas, and the NumPy modules.

Challenges we ran into

We ran into a big challenge with merging datasets, due to deficits in modules installed or available. However, this was resolved through a computer terminal, which had easy shortcuts to merging. CSV files, by just rewriting paths.

Accomplishments that we're proud of

We are proud of our integration of datasets, considering we have never extensively worked with these libraries before.

What we learned

We learned the application of NumPy, with the use of pandas.

What's next for Hughes

Built With

• numpy
• panda
• python
• terminal