FIFA2014_World_Cup_Heights

Project Domain: Sports

Tools used: Python and Tableau

Type of Algorithms used: LinearRegression and Polynomial Regression

Project details: Dashboards created to show the functionalities of Tableau to my students in my Data Analytics class.

1. Dashboard Number One (2014: Data Analysis) shows various visualizations that (Bar Chart, Histogram, Scatter Plot, TreeMap and a BoxPlot).
2. Dashboard Number Two (2014: Data Analytics) compares the results of using different methods (average Body Mass Index, Linear Regression and Polynomial Regression) to predict height.

Programming Languages: Python

Project learning:

1. Researched about correlation between Height an various factors (Weight, Continent, Position, Age, etc).
2. Created various models to calculate/predict Height:
   • Calculation using average Body Mass Index from the Dataset.
   • LinearRegression.
   • PolynomialRegression.
3. Determined that the Polynomial model has the best performance.

Project Participation: I worked independently on this project

To access the Dashboards, follow this link:

https://public.tableau.com/app/profile/agustin.portilla/viz/FIFABrazil2014/2014DataAnalysis

Preview:

Other comments: Project developed only for studying purposes