https://github.com/ljadhav25/django-data-analyzer

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. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.
https://github.com/ljadhav25/django-data-analyzer

data-analysis data-visualization django-application matplotlib numpy pandas python seaborn

Last synced: 28 days ago
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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. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.

• Host: GitHub
• URL: https://github.com/ljadhav25/django-data-analyzer
• Owner: LJadhav25
• Created: 2024-06-14T05:14:49.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-14T05:42:52.000Z (5 months ago)
• Last Synced: 2024-10-11T07:05:27.661Z (28 days ago)
• Topics: data-analysis, data-visualization, django-application, matplotlib, numpy, pandas, python, seaborn
• Homepage:
• Size: 299 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Titanic Data Analysis Project

# Overview

This project aims to analyze the Titanic dataset, identify and handle missing values, and visualize key insights such as age distribution of survivors and survival rates by gender. The analysis includes data cleaning, handling missing values, and generating various plots to understand the data better.

# Features

Load and preview the dataset.

Handle missing values using appropriate techniques.

Generate HTML tables for data preview and summary statistics.

Create heatmaps to visualize missing and handled values.

Generate histograms for age distribution of survivors.

Generate count plots for survival by gender.

# Requirements

Python 3.x

Django

Pandas

Seaborn

Matplotlib

BytesIO

Base64

# Set Up Django Project

django-admin startproject myproject

cd myproject

python manage.py startapp myapp

# Configure settings.py

INSTALLED_APPS = [

'myapp',

]

# Add the Analysis Code

Place the provided analyze function in your views.py in the Django app (e.g., myapp/views.py):

# Create Templates

Create an HTML template (analyze.html) in your app's templates directory (e.g., myapp/templates/analyze.html):

# Run the Server

# Access the Analysis

Open your web browser and go to http://127.0.0.1:8000/analyze// to view the analysis. Replace  with the actual ID of the file you want to analyze.

# GIT

Create the git repository

Initialize the git repository

Add and commit your files 

Connect to your git repository

Push the code to github