Having a table of data is a good way to display (tabular) data, but it does not display any insight.
the idea I'm proposing is to use the data as an opportunity to build a Mini Project / Tutorial:
how to "scrape" data from a public web page.
parse and filter that data using Test Driven Development.
2.b publish the data as CSV so others can use without having to do Scraping/Parsing themselves.
analyse the data to spot any trends, clusters or insights e.g:
average age when started presidency
average total life span
number of years lived after presidency (does being in power shorten lifespan?)
number of Democrats vs. Republicans
Visualise the data using Charts making an interactive infographic
Publish as both a tutorial and PWA that tens of millions of American kids can learn with/from.
"Win the Internet" as tens of thousands of "middle-schoolers" link/share the content. 🔗
From reading the table I now know the fact that during both World Wars,
there was a Democrat in office: Woodrow Wilson and Franklin D. Rooseveltrespectively.
Can we infer that having a Democrat as President is the "best way" to win a War...? 🤔
(probably not ...)
I think it would be instructive to visualise the data
and see what Questions/Hypothesis we can derive from it.
Wikipedia has a great table of data/facts on the US Presidents: https://en.wikipedia.org/wiki/List_of_Presidents_of_the_United_States
Having a table of data is a good way to display (tabular) data, but it does not display any insight. the idea I'm proposing is to use the data as an opportunity to build a Mini Project / Tutorial:
From reading the table I now know the fact that during both World Wars, there was a Democrat in office: Woodrow Wilson and Franklin D. Roosevelt respectively. Can we infer that having a Democrat as President is the "best way" to win a War...? 🤔 (probably not ...) I think it would be instructive to visualise the data and see what Questions/Hypothesis we can derive from it.
Thinking we could do this project in
Pythongiven that it's "Data Science" using one of the many brilliant libraries available: https://blog.modeanalytics.com/python-data-visualization-libraries/Thoughts? (please comment below)