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
Project details
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