lawalstyle/FoodProdForecast-NigeriaUK

FoodProdForecast-NigeriaUK is a data analysis project aimed at forecasting and comparing food production trends in Nigeria and the United Kingdom. Leveraging historical food production data, the project employs linear regression models to predict future trends and visualizes comparative forecasts. FoodProdForecast-NigeriaUK Project Overview "FoodProdForecast-NigeriaUK" is a data analysis and forecasting project focused on agricultural production trends in Nigeria and the United Kingdom. The project analyzes historical production data of key agricultural products and provides a forecast for the next 10 years. Key Features Analysis of historical agricultural production trends for Nigeria and the United Kingdom. Forecasting future production trends for the next 10 years. Focus on key products: Maize, Rice, Wheat, and Tomatoes. Data Source The project utilizes the world food production.csv dataset, which contains detailed records of agricultural production across various countries. Repository Contents FoodProdForecast-NigeriaUK.ipynb: Jupyter Notebook containing the analysis and forecasting code. world food production.csv: Dataset used for the analysis. README.md: This file, providing an overview of the project. Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. Prerequisites Python 3 Jupyter Notebook Required Python libraries: pandas, matplotlib, statsmodels Installation Clone the repository to your local machine: bash Copy code git clone github.com Install the required Python libraries: Copy code pip install pandas matplotlib statsmodels Running the Analysis Open the Jupyter Notebook: Copy code jupyter notebook FoodProdForecast-NigeriaUK.ipynb Run the cells in the notebook to perform the analysis and view the forecasts. Built With Python - The programming language used. Jupyter Notebook - The interactive computing framework. Pandas - Data manipulation and analysis library. Matplotlib - Plotting library. Statsmodels - Statistical modeling and econometrics in Python. Authors Mustapha Lawal