{"id":24835686,"url":"https://github.com/aninditaws/questionnaire-exploratory-data-analysis","last_synced_at":"2025-03-26T03:26:43.749Z","repository":{"id":273985348,"uuid":"921537031","full_name":"aninditaws/Questionnaire-Exploratory-Data-Analysis","owner":"aninditaws","description":"A comprehensive EDA project for analyzing questionnaire results. 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The primary objective is to perform an **Exploratory Data Analysis (EDA)** on questionnaire results. The analysis includes data preprocessing, descriptive statistics, and visualization to extract meaningful insights and identify trends within the data. The findings aim to support data-driven decision-making processes.\n\n---\n\n## Files in the Repository\n\n1. **18222128_Anindita_Widya_Santoso_TugasBesarProbStat.ipynb**\n   - A Jupyter Notebook containing Python code for the analysis. It covers all steps from data cleaning to result visualization, with detailed comments and structured code cells for replicable analysis.\n\n2. **18222128_Anindita_Widya_Santoso_TugasBesarProbStat.html**\n   - An HTML version of the notebook, designed for easy sharing and viewing without requiring a Jupyter environment.\n\n---\n\n## Features\n- **Data Preprocessing**: Handling missing values, correcting formatting issues, and preparing raw data for analysis.\n- **Descriptive Statistics**: Summarizing the data with metrics such as mean, median, mode, and frequency distributions.\n- **Visualization**: Creating clear and informative visualizations, including bar charts, histograms, and scatter plots, to identify patterns and trends.\n- **Insights**: Extracting and interpreting key findings to provide actionable insights.\n\n---\n\n## Requirements\nTo run the Jupyter Notebook, ensure you have the following installed:\n- Python 3.x\n- Jupyter Notebook\n- Required Libraries: `pandas`, `numpy`, `matplotlib`, `seaborn`\n\nInstall the required libraries using the following command:\n```bash\npip install pandas numpy matplotlib seaborn\n```\n---\n\n## Usage\n1. Clone the repository to your local machine.\n2. Open the Jupyter Notebook:\n```bash\njupyter notebook 18222128_Anindita_Widya_Santoso_TugasBesarProbStat.ipynb\n```\n3. Run each code cell sequentially to replicate the analysis and view the outputs.\n4. For a quick review, open the HTML file in any web browser.\n\n---\n\n## Author\nAnindita Widya Santoso (18222128)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faninditaws%2Fquestionnaire-exploratory-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faninditaws%2Fquestionnaire-exploratory-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faninditaws%2Fquestionnaire-exploratory-data-analysis/lists"}