Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

GENIVI Development Platform

NOTE: This repository is deprecated -- meta-genivi-dev can now be found inside of the genivi-dev-platform.git repository

Brazilian PIB (GDP) time series analysis.

a javaFX inventory manager app

GDP launcher application and old (now unused) HMI - for new HMI, go to: https://github.com/GENIVI/hmi-layout-gdp

Yield Spread Curve as Recession Indicator in the framework of Machine Learning "On the trails of Dragon Kings"

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

This is Europe's Political data which consists of information about life expectancy, pollution, population, unemployment, work hours, weather, trust in police, trust in legal authorities, Income, GDP, leisure satisfaction, trust in politics, environment satisfaction, low savings and crime for all the countries in Europe. I am going to compare these political situations or sentiments of people living in different parts of Europe using Data Analytics and Data Visualization.

A Machine Learning regression model to predict the GDP and Employment Rates of countries using Random Forest Regression in Python.

Detailed analysis of the paper by Dr. Arvind Subramanian , and experiments to analyse India's GDP misestimation

Time series modelling using Structural Vector Auto-Regression

Exploration of Factors Influencing GDP

A Challenge To Test My SQL Skills For A Braintree Data Analyst Interview Process

Detecting structural breaks in time series with statistical analysis in R with strucchange and regression models.

Simulate democracy across the globe using Polity IV, GDPpc and neighborhood data

Web based application to analyse the live cases of COVID-19 and its impact on economy

Coronavirus analysis showing relations between GDP of european countries and effects of SARS-CoV-2

GDP Forcasting

My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.

This depository is Case Study 1 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-Case-Study-1" for short. Author: Yao Yao. This project was submitted through GitHub on RStudio version 1.0.136.

Exploratory Data Analysis - R, Statistical methods, Time Series

Can you lose your job because of Climate Change?

The field of economics is a good use case for data analysis. The code in this repository is showing basic data analysis done in Python related to economic/economics.

simple yocto implementation