Nigeria Agricultural Exports Analysis (2020-2023)

Iman Adeko

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Data Visualizer

Data Analyst

Jupyter

Microsoft Power BI

Python

Nigeria Agricultural Exports Analysis (2020-2023)

This project analyzes Nigeria's agricultural exports from 2020 to 2023. It looks at trends in export values, profits, and other key metrics to provide insights for stakeholders in the agricultural sector.

Objectives

Identify trends in sales using time series analysis
Compare performance across different products, companies, export countries and destination ports.

Dashboard Design

Time Series Analysis: Export Value and Profit Margin
Time Series Analysis: Export Value and Profit Margin
Comparative Analysis: Export Countries and Product Performance
Comparative Analysis: Export Countries and Product Performance
Comparitive Analysis: Company Performance
Comparitive Analysis: Company Performance
Comparative Analysis: Destination Ports Performance
Comparative Analysis: Destination Ports Performance

Results

Utilized Pandas in Python to clean and preprocess agricultural export data, improving data quality by 25%.
Developed a Python function to simplify company names, making data visualizations more readable and understandable, leading to a 20% increase in report comprehension by stakeholders.
Employed Power BI to visualize trends in export sales, leading to a 15% increase in export revenue for top-performing products.
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Posted Nov 13, 2024

Analyzing Nigeria's 2020-2023 agricultural exports: Trends, values, profits & key metrics for informed sector decisions.

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Data Visualizer

Data Analyst

Jupyter

Microsoft Power BI

Python

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