{"id":15180621,"url":"https://github.com/ljadhav25/django-data-analyzer","last_synced_at":"2026-03-01T12:34:21.304Z","repository":{"id":244346200,"uuid":"814978315","full_name":"LJadhav25/Django-Data-Analyzer","owner":"LJadhav25","description":"Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. 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The analysis includes data cleaning, handling missing values, and generating various plots to understand the data better.\n\n# Features\nLoad and preview the dataset.\nHandle missing values using appropriate techniques.\nGenerate HTML tables for data preview and summary statistics.\nCreate heatmaps to visualize missing and handled values.\nGenerate histograms for age distribution of survivors.\nGenerate count plots for survival by gender.\n\n# Requirements\nPython 3.x\nDjango\nPandas\nSeaborn\nMatplotlib\nBytesIO\nBase64\n\n# Set Up Django Project\ndjango-admin startproject myproject\ncd myproject\npython manage.py startapp myapp\n\n# Configure settings.py\nINSTALLED_APPS = [\n'myapp',\n]\n\n# Add the Analysis Code\nPlace the provided analyze function in your views.py in the Django app (e.g., myapp/views.py):\n\n# Create Templates\nCreate an HTML template (analyze.html) in your app's templates directory (e.g., myapp/templates/analyze.html):\n\n# Run the Server\n# Access the Analysis\nOpen your web browser and go to http://127.0.0.1:8000/analyze/\u003cfile_id\u003e/ to view the analysis. Replace \u003cfile_id\u003e with the actual ID of the file you want to analyze.\n\n# GIT\nCreate the git repository\nInitialize the git repository\nAdd and commit your files \nConnect to your git repository\nPush the code to github\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fljadhav25%2Fdjango-data-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fljadhav25%2Fdjango-data-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fljadhav25%2Fdjango-data-analyzer/lists"}