Archaelogical Site Analysis
A descriptive analysis of a Southeastern Kentucky Archaelogical site.
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Higher Education costs and GDP in Europe.
This data is from data.world, and can be found here. This includes educational and living costs for Europe in 2023. We then begin this analysis by needing to create a single merged dataset. GDP per capita come from the World Bank.
Here Python is used for cleaning and merging the datasets into only relevant data. Countries names are checked using a list comprehension, and values are adjusted by the average exchange rate of US dollars to UK pounds.
The merged dataset is then imported into tableau for data visualization. The main aim is to visualize and statistically analyze the countries total education costs and gdp per capita.
This shows the rankings of Europe by Tuition Fees. To gain a deeper understanding, GDP Per Capita and Living Costs are explored in a Geographic Analysis.
The coefficient is very high, indicating that a high percentage of the variance in total educational costs and living costs are determined by gdp per capita.
When living costs are controlled for, the coefficient decreases substantially, but remains positive and significant.
Below is the entire tableau dashboard for exploration.
Lessons Learned:
A descriptive analysis of a Southeastern Kentucky Archaelogical site.
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Every year, hospitals are faced with staffing challenges due to the influx of influenza patients. This prescriptive analysis uses USA CDC data and seeks to define and direct staff from low-need states to high-need states.
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