Metadata-Version: 2.4
Name: bizlens
Version: 2.3.3
Summary: Integrated Analytics Platform - Descriptive, Diagnostic & Predictive Analytics with Sample vs Population Distinction
Home-page: https://github.com/solutiongate-learn/bizlens
Author: Sudhanshu Singh
Author-email: Sudhanshu Singh <sudhanshu@solutiongate.in>
Maintainer-email: Sudhanshu Singh <sudhanshu@solutiongate.in>
License: MIT
Project-URL: Homepage, https://github.com/solutiongate-learn/bizlens
Project-URL: Documentation, https://github.com/solutiongate-learn/bizlens#readme
Project-URL: Repository, https://github.com/solutiongate-learn/bizlens
Project-URL: Issues, https://github.com/solutiongate-learn/bizlens/issues
Project-URL: Changelog, https://github.com/solutiongate-learn/bizlens/blob/main/CHANGELOG.md
Keywords: business analytics,statistics,process mining,machine learning,data analysis,descriptive analytics,predictive analytics,rich tables
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.0.0
Requires-Dist: numpy>=1.24.0
Requires-Dist: scipy>=1.10.0
Requires-Dist: statsmodels>=0.14.0
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: seaborn>=0.12.0
Requires-Dist: plotly>=5.15.0
Requires-Dist: scikit-learn>=1.3.0
Requires-Dist: rich>=13.0.0
Requires-Dist: polars>=0.20.0
Requires-Dist: networkx>=2.8.0
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# BizLens 📊

**Business analytics, statistical inference, process mining, and machine learning — all in one package**

BizLens is a comprehensive Python library designed for business analysts, data scientists, educators, and students. It combines professional statistical analysis, beautiful Rich tables, interactive visualizations, and built-in business process mining capabilities — all accessible with a simple \`pip install\`.

---

## 🚀 Open in Google Colab — No Installation Needed

Click any badge below to launch the notebook instantly:

### Core Analytics

| Notebook                  | Colab Link                                                                 | What You'll Learn                              |
|---------------------------|----------------------------------------------------------------------------|------------------------------------------------|
| **Quick Start**           | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Quick_Start_bizlens.ipynb) | Overview, frequency tables, outlier detection |
| **Descriptive Analytics** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Descriptive_Analytics.ipynb) | Frequency, percentile, contingency, data profile |
| **Statistical Inference** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Statistical_Inference.ipynb) | Confidence intervals, t-tests, ANOVA, correlation |
| **Chi-Square & Association** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_ChiSquareTest.ipynb) | Chi-square, contingency tables, Cramér's V |
| **Probability & Distributions** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Probability_Distribution_Simulation.ipynb) | Distribution fitting, simulation, sampling |

### Machine Learning

| Notebook                        | Colab Link                                                                 | What You'll Learn                              |
|---------------------------------|----------------------------------------------------------------------------|------------------------------------------------|
| **Linear & Multiple Regression** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Linear_Multiple_Linear_Regression.ipynb) | OLS regression, diagnostics, predictions |
| **Logistic Regression**         | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Logistic_Regression.ipynb) | Binary classification, ROC, confusion matrix |
| **Decision Trees & Random Forests** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Decision_Trees_Random_Forests.ipynb) | Tree models, feature importance, ensembles |
| **PCA & Clustering**            | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_PCA_Clustering.ipynb) | Dimensionality reduction, K-Means, DBSCAN |
| **Conjoint Analysis**           | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Conjoint_Analysis.ipynb) | Preference modeling, attribute utilities |
| **Q-Learning**                  | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Q_Learning.ipynb) | Reinforcement learning basics, Q-table |

### Advanced Analytics & Process Mining

| Notebook                     | Colab Link                                                                 | What You'll Learn                                      |
|------------------------------|----------------------------------------------------------------------------|--------------------------------------------------------|
| **Master Process Mining**    | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Master_Process_Mining.ipynb) | Case metrics, bottlenecks, variants, resources, workflow |
| **Time Series & Anomaly Detection** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/solutiongate-learn/bizlens/blob/main/notebooks/New_Time_Series_Anomaly.ipynb) | Temporal patterns, trend analysis, anomaly detection |

> **All notebooks** automatically install the latest \`bizlens\` on first run. Just click the badge and run the first cell.

---

## 💾 Installation

\`\`\`bash
pip install bizlens
\`\`\`

---

## ✨ Features

- **Descriptive Analytics**: Frequency tables, percentiles, contingency tables, data profiling
- **Statistical Inference**: Confidence intervals, t-tests, ANOVA, correlation, chi-square
- **Machine Learning**: Linear/Logistic regression, Decision Trees, Random Forests, PCA, Clustering, Conjoint Analysis, Q-Learning
- **Process Mining**: Case metrics, bottleneck analysis, variant discovery, resource analysis
- **Time Series & Quality**: Anomaly detection, completeness reports, dual pandas + polars support
- Beautiful **Rich** tables and interactive visualizations out of the box

---

**Made with ❤️ for analysts, educators, and students**
