{"id":18106839,"url":"https://github.com/arthurdsant/dataanalysis-agricultural_raw_material","last_synced_at":"2026-01-26T03:02:19.502Z","repository":{"id":258866511,"uuid":"875441946","full_name":"ArthurDSant/DataAnalysis-Agricultural_Raw_Material","owner":"ArthurDSant","description":"This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. 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Percent values, commas, and other symbols are removed to ensure data consistency. Missing values (NaN) are handled by removing the rows with incomplete data.\r\n\r\n2 - **Type Conversion:** The columns related to prices and percentage changes are converted to the float type to allow for precise numerical analysis.\r\n\r\n3 - **Date Indexing:** The dates are formatted to the yyyy-mm-dd standard and set as the index, facilitating analysis over time.\r\n\r\n4 - **Correlation Analysis:** Correlation matrices are generated to analyze the relationship between different raw material prices, with visualization through heatmaps.\r\n\r\n5 - **Visualizations:** The project includes various graphs to explore the data:\r\n- **Heatmap** of raw material price correlations.\r\n- **Percentage Change Graphs** of prices over time.\r\n- **Histograms** of the distribution of percentage changes.\r\n- **Evolutionary Graphs** of prices over time.\r\n\r\n6 - **Libraries Used:**\r\n- **NumPy** for array manipulation and data handling..\r\n- **Pandas** for dataframe manipulation.\r\n- **Seaborn** and **Matplotlib** for graphical visualization.\r\n\r\n## Installation\r\n```bash\r\n    pip install numpy\r\n    pip install pandas\r\n    pip install seaborn\r\n    pip install matplotlib\r\n    or\r\n    pip install numpy pandas seaborn matplotlib\r\n```\r\n\r\n## Screenshots\r\n![DA - Agricultural Raw Material](https://github.com/user-attachments/assets/6cf223fc-ee0f-419c-812f-1865c27a2bb6)\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farthurdsant%2Fdataanalysis-agricultural_raw_material","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farthurdsant%2Fdataanalysis-agricultural_raw_material","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farthurdsant%2Fdataanalysis-agricultural_raw_material/lists"}