This project examines the sales performance, cost analysis, geographic distribution, and performance comparison of Nigeria's agricultural exports
# Nigeria-Agricultural-Export-Analysis
## Table of Content
* Problem statement
* Data Source
* Tools
* Data Cleaning and Preparation
* Exploratory Data Analysis
* Modelling
* Data Analysis
* Visualization
* Analysis Report and insight
## Problem Statement
This project examines the sales performance, cost analysis, geographic distribution, and performance comparison of Nigeria's agricultural exports
## Data Source
the dataset was shared to me by Favour Ewoh as a test data
dataset
## Tools
* Execel
* PowerBi
## Data Cleaning and Preparation
Completed the Data cleaning and transformation in excel by removing duplicates and inconsistent
## Exploratory Data Analysis
* What are the top-selling products?
* Which company has the highest sales revenue?
* How do sales vary across different export countries? You should look at
* Which destination ports receive the highest volume of exports?
* What are the transportation modes commonly used for export?
## Modelling
After the dataset was cleaned and transformed, it was loaded into Microsoft Power BI Desktop for modeling.
## Data Analysis
Measures created for analysis
``` DAX
2023 COGS = CALCULATE(
'_measures'[Sum of COGS], 'Import Country'[start of year] = 2023)
2023 profit = CALCULATE(
'_measures'[sum of profit],'Import Country'[start of year] = 2023)
Revenue by year 2023 = CALCULATE([Total revenue],
'Import Country'[start of year] = 2023)
Sum of COGS = SUM('Product'[COGS])
sum of profit = SUM('Product'[Profit per unit] )
Sum of unit = SUM('Product'[Units Sold] )
Total revenue = SUM('Product'[Export Value])
unit sold 2023 = CALCULATE(
'_measures'[Sum of unit], 'Import Country'[start of year] = 2023)
```
## Visualization
visualization of data potraying cost analysis, different export company and state performance and timeline analysis
Dashboard Report
## Analysis Report and insight
Port Analysis
* Top Port: Lagos leads in sales volume (of 28,474 units), revenue (with 54.29 % of total revenue), and …