Economic-Impacts-of-COVID-19

Impacts of Covid-19 on World Economy

Datasets used for analysis:
GDP:https://data.oecd.org/gdp/quarterly-gdp.htm
Unemployment:https://data.oecd.org/unemp/unemployment-rate.htm
Labour cost:https://stats.oecd.org/Index.aspx?QueryId=55089#
Trade :https://data.oecd.org/trade/trade-in-goods-and-services.htm
Project-Tree The code for analysis are contained in the following mentioned .ipnyb files

Project tree

• Project
• DA
  • Analysis_GDP.ipynb
  • Anlaysis_Unemployment.ipynb
  • Cleaning_GDP.ipynb
• Analysis Models
  • GDP_Models.ipynb
  • Unemp_Analysis_arima.ipynb
  • labour_models.ipynb
  • trade_models.ipynb
  • visualisations.ipynb
• Datasets
  • clean_unemployment.csv - Annual Unemployment Rate for every country.
  • final_data.csv - Cleaned datasets for annual GDP rates for every country.
  • labour_cost.csv - Cleaned dataset for annual Labour Costs for every country.
  • trade.csv - Cleaned dataset for annual International Trade for every country.
  • unemp_yearly.csv
  • unemploy_clean.csv

Installation

The requirements.txt contains all Python libraries that our notebooks use

pip install -r requirements.txt

You can find the installation documentation for the Jupyter platform, on ReadTheDocs.

For only a local installation of Jupyter Notebook, make sure you have pip installed and run:

$ pip install notebook

Usage - Running Jupyter notebook

Running in a local installation

Launch with:

$ jupyter notebook