Project:
We analyzed our census data of adults from multiple countries from around the world in order to predict an adults income of over or under $50,000 USD a year. We concluded that this prediction wasn't really useful as over and under $50,000 doesn't really tell us a lot as the differences between someone making $50,000 and $100,000 a year is massive, it would have been better to have tiers of income that way we can make much more meaningful predictions about a persons income. Secondly and most problematic: the prediction is in USD which renders some predictions entirely useless as people from poorer countries won't have any chance at making above $50,000 USD in a given year. In order to fix that each countries prediction should have different income predictions based on that given countries currency and average income otherwise everyone from a country like Mozambique would have the lowest income level or under $50,000 a year, even if for Mozambique's standards of living they were well off.
How we got our conclusion:
We were able to reach these conclusion based off of Poirer's Connotative reading and Koopman's Macrostructure reading. We recognized the cultural factors that affected the data set like all the income being in USD rather than the respective countries currency and setting it as the standard for all other countries while not adjusting the currency for that countries standard of living and also blatantly disregarding each countries standard of education level.
Our data is census data of adults in a multitude of countries around the world that collected different social categories that they fall into to predict whether they make more or less than $50,000 USD per year. We read through the data set with Poirer's Connotative Reading and Koopman's Microstructure Reading.