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Generic data handling utilities including data splitting and analysis.

Project description

dsr-data-tools

Data analysis and exploration tools for exploratory data analysis (EDA).

Features

  • Dataset Analysis: Comprehensive statistical summaries and data quality assessment
  • Data Exploration: Tools for understanding data distributions, correlations, and patterns
  • Quality Metrics: Missing value detection, data type analysis, and anomaly identification

Installation

pip install dsr-data-tools

Usage

import pandas as pd
from dsr_data_tools import analyze_dataset

# Load your data
df = pd.read_csv('data.csv')

# Perform comprehensive analysis
analyze_dataset(df)

Requirements

  • Python >= 3.9
  • pandas
  • numpy
  • dsr-utils

License

MIT License - see LICENSE file for details

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