Project where we take a tsv provided by the EU an we create a map for each year from 2007 to 2018 with the unemployment rates in each country and build a gif file with it. We use folium especially choropleth for maps, pandas to manage data, selenium to open each html file and save it as png and imageio to turn those images into a gif file. #Pyth…

Econometric Research: The Effect of Unemployment on Crime Rate in the U.S.

Simple task to practice my data visualization skills

The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of t…

We use data from EuroStat from the 2000s and 2010s for a ls-regression of unemployment using the homeownership rate. We do this to test the Oswald Hypothesis.

Springboard Capstone Project 1

Studies of the changes in the U.S. labor market in 2000-2021 using the monthly Current Population Survey.

Small data visualisation project showing unemployment rate on interactive map

The aim of this project is to create automated report which shows current coronavirus information scraped from Wikipedia and unemployment analysis based on downloaded dataset from OECD website.

A repository with our team's final Python project in MGMT 586 Python course at Krannert School of Management, Purdue University.

Tableau analyses published from my Tableau public profile

An analysis of Chicago Socioeconomic data

This program seeks to explore the relationship between the Effective Fed Funds Rate (target variable) and the most common parameters the Fed uses to justify their rate hikes/drop decisions when communicating to public, namely personal consumption expenditures inflation, real gross domestic production growth, and unemployment rate (predictor vari…

This project shows step by step how to clean & prepare a data set(data wrangling) for analysis using different tools like Pandas etc. and further do a Exploratory data analysis to give an idea and make the data usable for further reaserches and models.

Unemployment Analysis with machine learning .Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19.

A set of Google colab notebooks with my work on data analysis

Oaisis internship