Package for creating various plots of US employment and unemployment

An analysis of the impact of recessions on automobile sales examines trends, distributions, and regional variations in sales during recession and non-recession periods. It provides insights into how different vehicle types are affected by economic downturns.

A recession is an economic situation that arrives when the circulation of money in the economy is low for two consecutive quarters. When the circulation of money is low, it means people are not spending money in the market.

RecessionAnalysis with Prediction uses data-driven approaches to understand and forecast economic downturns. Through statistical models and machine learning, it analyzes historical trends and equips stakeholders with valuable insights for informed decision-making in uncertain times.

Python Script for Calculating and Visualization Follow Through Rallies during Bear Markets

Package for creating normalized peak plot of U.S. nonfarm employment (PAYEMS) in last 15 recessions

Power BI Dashboard Tracking Recession Indicators: Macro-Economic Data and Google Trends using Web-Scraping and PyTrends API

Is the party over? An analysis of recessionary indicators written in Rust & TypeScript

Hello Everyone In this repository you will get all the Projects which I completed in my content writer internship under the Guidance of Code Clause .

Package for creating normalized peak plot of U.S. real GDP (GDPC1) in last 15 recessions

In this project, I show how different combinations and components of term spread have varying shapes, which can be analyzed in order to understand movements in the economy. Calculating term spread dispersion can help us better price risk in the bond market. Term spread combinations have varying power in explaining future movements in macro varia…

Data Science Project for Predicting the next Recession in the United States from Scratch

The COVID-19 pandemic has left many working professionals unemployed. As countries get pushed further towards the edge of the cliff and into an economic recession, analysis of the attrition of employees becomes vital to the HR department of an organisation, and to the future of a company. The dataset for this project was provided by IBM.

Predicting the next recession. As we know the great depression and how mortage prices went unmonitored and prices were floating above the marked rates. This project shows trends of the great depression for the coming fiscal year and helps you estimate the price of any property which you are willing to invest and help you decide about its worthin…

This python project makes use of matplotlib and numpy to visualize the spread between short and long term US treasury bond rates (yield rates). The resulting spread can indicate upcoming economical recessions. Predictions made based on that so called yield curve inversion has proven its accuracy for 6 out of 7 recessions in the past and is renow…

Código em Python para prever uma recessão nos Estados Unidos da América

[June 5, 2020] How could the stock market recover in 76 days?

Bear Market of 2020

A Tableau data story that consists of multiple visualizations analyzing the relationship between marriage and education trends in the United States between 1995 and 2015, determining how each trend was impacted by economic recessions over the years, and investigating the relationship's overall impact on each state's median household income.