Mid-Bootcamp-Project 2023

• In this project i did some comparison analysis from 2000 to 2022 of countries like:

• Portugal

• Spain

• Ireland

• Greece

With some data figures:

• Debt-to-GDP
• Inflation Rate
• Unemployment Rate
• Interest Rate

Hint:

"I could be doing the PIGS Countries (Portugal, Italy, Greece, Spain), but i choose Ireland due to his amazing performance through the years in terms of debt-to-gdp and other reductions compare to Italy!"

Process #1 - Data Visualization, Selection & Modelling in Python.

• Gathering some data from "World Bank open data" to a excel file
• Format the excel file for a .csv file to start working on the dataset
• Data Cleaning and preprocessing
• Attribute Selection
• Save Clean Data into a .csv file for Tableau Visualizations
• Prediction Modelling using some of the methods we've learn so far

Process #2 - Tableau Visualizations.

• Export the "Clean Data" .csv file into tableau to start the visualizations
• Creating Several Dashboard's to present and explain some Comparing Analysis
• After further Visualization, setup how do you gonna present your Dashboards

Process #3 - Tableau Presentation Link.

• Here the link of the Presentation:
• https://public.tableau.com/app/profile/shouldbeclaudio/viz/Midbootcampproject_16829745545990/unemploymentrate