中国宏观经济看板
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Updated
Jun 21, 2024 - Python
中国宏观经济看板
Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.
Além de explorar boas práticas em python, o propósito é de aplicar conceitos de Arquitetura Medallion, programação orientada a objetos e ETL, utilizando dados públicos sociais dos municípios brasileiros. Este repositório conta ainda com duas versões de código que executam o mesmo processo, com incremento de sofisticação na versão final.
A Beginner’s Guide to Assembly ARM language
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.
This repository analyses the flactuation of the Currency rates in developing countries mainly focusing on Afghanistan and Somalia.
IRIOdashboard — An analytical dashboard for IRIO (Inter-Regional Input Output) table
Economic data from various countries
Data Science Foundations II | Portfolio Project. Data Visualization
Reconciliation of quarterly Australian GDP forecasts from Income and Expenditure sides
This dataset includes important indicators of economic performance and development from 1960-2018, including fields like electricity consumption, GDP per capita, life expectancy, and more.
This project contributes to the existing knowledge base by providing a data-driven analysis of historical trends and future trends with a special focus on per capita GDP because Per capita GDP is an indication of the economic health of people of countries.
EDA project for GDP, Inflation, Income Per Capita, Income Inequality in Egypt (1961-2020)
UK Office for National Statistics (ONS) API Python interface
BSc Economics Dissertation Project
Projekt dotyczy praktycznego zastosowania równań różniczkowych zwyczajnych w prognozowaniu wzrostu PKB. Przy wykorzystaniu danych z data.worldbank.org obliczamy prognozowane PKB dla dowolnego kraju. Zakładamy przy tym, że zarówno za podstawowe PKB, jak i za współczynnik wzrostu przyjęto te z 2021 roku.
A plotly dashboard to visualize China's demographic challenges.
A website guiding the use of a volatility-adjusted US growth, inflation guided portfolio. Also contextualizes the CFTC COT releases and foreign exchange returns.
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