Python Data Analysis Tool

Overview

A comprehensive data analysis tool built with Python, designed to simplify the process of analyzing and visualizing large datasets. This tool combines the power of Pandas for data manipulation, Matplotlib for visualization, and Jupyter notebooks for interactive analysis.

Key Features

• Automated data cleaning and preprocessing
• Statistical analysis with descriptive statistics
• Interactive data visualization
• Export capabilities to various formats
• Jupyter notebook integration

Example Usage

import data_analysis_tool as dat

# Load and clean data
df = dat.load_data("dataset.csv")
cleaned_df = dat.clean_data(df)

# Generate basic statistics
stats = dat.analyze(cleaned_df)

# Create visualizations
dat.plot_distribution(cleaned_df, column="age")
dat.plot_correlation(cleaned_df, x="income", y="spending")

Installation

pip install data-analysis-tool

For development setup:

git clone https://github.com/spideynolove/data-analysis-tool.git
cd data-analysis-tool
pip install -r requirements.txt