Suspicions of dementia in the Oval Office

What it does

The Flesch-Kincaid Verbal Analysis Tool aggregates text data from multiple sources to produce grade-level scores of readability on a per-sentence basis. The data is then visualized through the use of R scripts. Trends in the data can then be easily compared to make arguments regarding the sanity of the Commander-in-Chief.

How we built it

We primarily made use of Python to quickly develop the core of the analysis tools we used. We also used R to assemble the output data into a format that was simple to visualize.

Challenges we ran into

The biggest challenge was the integration of our separate portions of the project into a complete presentation of our findings. Through careful collaboration we were able to present our data in a meaningful format for the audience.

Accomplishments that we're proud of

We were absolutely stunned by the trends our data models exposed in Trump's word usage. We weren't expecting nearly the level of detail we received and were fascinated by the results.

What we learned

We expanded our skills in Python, JSON parsing and algorithmic data analysis.

What's next for Flesch-Kincaid Verbal Analysis Tool

Ideally, we would like to expand the tool such that we could perform the data analysis on any and gather similarly meaningful statistics.

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