Mygift-jpg/Nigeria_Maize_Analysis

Cleaning and analyzing maize production and price data in Nigeria using Python. # Nigeria Maize Data Cleaning and Analysis ## Goal: Clean and analyze maize production and price data in Nigeria using Python. ## Steps 1. Loaded raw datasets from FAOSTAT. 2. Handled missing values and dropped unnecessary columns. 3. Checked for duplicates and standardized text. 4. Merged production and price data into one dataset. 5. Saved the cleaned dataset for further analysis. ## Tools Used - Python - Pandas (data cleaning and manipulation) ## Files - maize_cleaning.py: Python script for cleaning the data. - cleaned_agriculture_datasets.csv: Cleaned dataset ready for analysis. ## How to Run 1. Install dependencies: pip install pandas 2. Run script: python maize_cleaning.py