# Statsmodels Statistical Modeling Project

<!--
Author: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
-->

## Project Details

- **ID**: 12
- **Title**: Statsmodels Statistical Modeling
- **Category**: Scientific Computing
- **Difficulty**: Advanced
- **Source Link**: https://github.com/rskworld/statsmodels-statistical/archive/refs/heads/main.zip
- **Demo Link**: ./statsmodels-statistical/

## Description

Statistical modeling with Statsmodels including regression analysis, time series models, hypothesis testing, and statistical tests.

## Full Description

This project demonstrates Statsmodels, a library for statistical modeling and econometrics in Python. It covers linear and generalized linear models, time series analysis, hypothesis testing, statistical tests, and diagnostic tools. Perfect for statistical analysis and econometric modeling.

## Technologies

- Python
- Statsmodels
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook

## Features

- Linear and GLM regression
- Time series analysis
- Hypothesis testing
- Statistical diagnostics
- Econometric modeling

## Icon

- **Icon**: fas fa-microscope
- **Icon Color**: text-secondary
- **Project Image**: ./statsmodels-statistical/statsmodels-statistical.png
- **Project Image Alt**: Statsmodels Statistical Modeling - rskworld.in

## Author Information

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277

## Project Structure

```
statsmodels-statistical/
├── README.md
├── requirements.txt
├── LICENSE
├── index.html
├── regression_analysis.py
├── time_series_analysis.py
├── hypothesis_testing.py
├── statistical_diagnostics.py
├── econometric_modeling.py
├── notebooks/
│ ├── 01_linear_regression.ipynb
│ ├── 02_time_series.ipynb
│ ├── 03_hypothesis_testing.ipynb
│ └── 04_econometric_modeling.ipynb
├── examples/
│ ├── regression_example.py
│ ├── time_series_example.py
│ └── hypothesis_testing_example.py
└── data/
└── sample_data.csv
```

# Data Files

<!--
Author: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
-->

This directory contains sample datasets for various statistical analyses.

## Available Datasets

### 1. sample_data.csv
**Purpose**: Linear regression analysis
**Columns**:
- `X1`, `X2`, `X3`: Independent variables
- `y`: Dependent variable

**Usage**:
```python
import pandas as pd
df = pd.read_csv('data/sample_data.csv')
X = df[['X1', 'X2', 'X3']].values
y = df['y'].values
```

### 2. time_series_data.csv
**Purpose**: Time series analysis and forecasting
**Columns**:
- `date`: Date index
- `value`: Time series values

**Usage**:
```python
import pandas as pd
df = pd.read_csv('data/time_series_data.csv', parse_dates=['date'], index_col='date')
ts_data = df['value']
```

### 3. panel_data.csv
**Purpose**: Panel data analysis (fixed/random effects)
**Columns**:
- `entity`: Entity identifier
- `time`: Time period
- `X1`, `X2`: Independent variables
- `y`: Dependent variable

**Usage**:
```python
import pandas as pd
from panel_data_analysis import PanelDataAnalysis

df = pd.read_csv('data/panel_data.csv')
panel = PanelDataAnalysis()
panel.prepare_panel_data(df, 'entity', 'time', ['X1', 'X2', 'y'])
```

### 4. hypothesis_test_data.csv
**Purpose**: Hypothesis testing (t-tests, ANOVA)
**Columns**:
- `group`: Group identifier (A, B, C, D)
- `value`: Measurement values

**Usage**:
```python
import pandas as pd
df = pd.read_csv('data/hypothesis_test_data.csv')
groups = df['group'].unique()
samples = {group: df[df['group'] == group]['value'].values for group in groups}
```

### 5. econometric_data.csv
**Purpose**: Econometric modeling (VAR, cointegration)
**Columns**:
- `date`: Date index
- `GDP`: Gross Domestic Product
- `Consumption`: Consumption
- `Investment`: Investment
- `Unemployment`: Unemployment rate

**Usage**:
```python
import pandas as pd
df = pd.read_csv('data/econometric_data.csv', parse_dates=['date'], index_col='date')
data = df[['GDP', 'Consumption', 'Investment']]
```

## Data Characteristics

| Dataset | Rows | Columns | Type |
|---------|------|---------|------|
| sample_data.csv | 30 | 4 | Cross-sectional |
| time_series_data.csv | 90 | 2 | Time series |
| panel_data.csv | 50 | 5 | Panel |
| hypothesis_test_data.csv | 40 | 2 | Cross-sectional |
| econometric_data.csv | 36 | 5 | Time series |

## Notes

- All datasets are synthetic and created for demonstration purposes
- Data files are compatible with pandas DataFrame operations
- Date columns are formatted for easy parsing
- All datasets include author information in comments

## Author

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277