farhansadeed
Python-COVID-19-Trade-Impact-Data-Analysis
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This repository contains an analysis of the effects of COVID-19 on trade trends up to December 2021. The dataset used provides daily trade values. We identified annual trends, commodity impacts, transport mode influences, and country-specific effects by using Python, Pandas and Matplotlib

Last updated May 19, 2026
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COVID-19 Trade Impact Data Analysis

This repository contains an analysis of the effects of COVID-19 on trade trends up to December 2021. The dataset used provides daily trade values. We identified annual trends, commodity impacts, transport mode influences, and country-specific effects by using Python, Pandas and Matplotlib

:man_student:Dashboard::electron:

Overall Trade Trend Fig 1: Overall Trade Trend

Exports vs. Imports Fig 2: Exports vs. Imports

Top Commodities Affected Fig 3: Top Commodities Affected

Transport Mode Analysis Fig 4: Transport Mode Analysis

Country Analysis Fig 5: Country Analysis

Dataset

The dataset, "Effects of COVID-19 on trade: At 15 December 2021 (provisional)", contains columns indicating trade direction (imports/exports), date, country, commodity type, transport mode, and trade values.

Analyses Performed

  • Overall Trade Trend: Visualized the increasing trade value over the years 2019, 2020, and 2021.
  • Exports vs. Imports: Compared the cumulative exports and imports over the mentioned years.
  • Top Commodities Affected: Identified commodities with the most significant changes in trade value.
  • Transport Mode Analysis: Analyzed the effect on different modes of transport.
  • Country Analysis: Checked the trade impact on specific countries.

Tools Used:

  • Python: The primary language for data processing and analysis.
  • Pandas: Used for data manipulation and analysis.
  • Matplotlib: For data visualization and creating charts.
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