https://github.com/yalai92/alfalfa_imp_exp_analysis

This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.
https://github.com/yalai92/alfalfa_imp_exp_analysis

data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau

Last synced: 8 days ago
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This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.

• Host: GitHub
• URL: https://github.com/yalai92/alfalfa_imp_exp_analysis
• Owner: Yalai92
• Created: 2024-09-16T16:07:00.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-16T17:33:16.000Z (about 2 months ago)
• Last Synced: 2024-10-31T13:04:23.493Z (8 days ago)
• Topics: data-analysis, data-cleaning, data-visualization, matplotlib, numpy, pandas, python, sckiit-learn, tableau
• Language: Jupyter Notebook
• Homepage:
• Size: 3.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analysis & Predictive Modeling of Spanish & Global Alfalfa International Trade (2003-2029)

This repository focuses on both the analysis and forecasting of the global alfalfa and pellet trade. The first part involves data cleaning, analysis, and visualization of global alfalfa and pellet imports, along with the evolution and trends of Spanish and the four main alfalfa and pellet exporters during the 2003-2023 period. The second part applies data science algorithms to perform a predictive analysis of global alfalfa demand for the 2024-2029 period, identifying key trends and factors influencing the market, with the goal of providing valuable insights for stakeholders in the alfalfa industry.

## Projects

* 📊 | 01. **Data Analysis**

  - Title: **Evolution and Trends of Spanish and the Four Leading Alfalfa and Pellet Exporters (2003-2023)**

  - Description: Data cleaning, analysis, & visualization of global alfalfa and pellet imports, as well as the evolution and trends of Spanish and the four main alfalfa and pellet exporters during the period 2003-2023.

  - Folder: **DA**

  - URL: [Portfolio article](https://aleixsanchez.super.site/featured-projects/the-spanish-alfalfa-sector-export-analysis)

* 🛠️ | 02. **Preprocessing**  - *(currently under development)*

* 🔬 | 03. **Data Science** - *(currently under development)*

  - Title: **Predictive Analysis and Trends in Global Alfalfa Demand (2024-2029)**

  - Description: Predictive analysis of the global alfalfa demand for the 2024-2029 period, using data science algorithms techniques,. It analyzes main trends and key factors influencing the market, willing to provide valuable insights for stakeholders in the alfalfa industry.

  - Folder: **DS**

  - URL: [Portfolio article](https://aleixsanchez.super.site/featured-projects/predictive-analysis-and-trends-in-global-alfalfa-demand-2024-2029)

## Tools

* 📓 | Notebooks:     **Google Collab**

* 📊 | Visualization: **PowerBI & Tableau Public**

* 🐍 | Python:        **Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn**