# Table of contents

* [Visual Python Manual](README.md)

## GETTING STARTED

* [Welcome to Visual Python](getting-started/welcome-to-visual-python.md)
* [How to install](getting-started/how-to-install.md)
* [Installing FAQ](getting-started/installing-faq.md)
* [Official homepage](https://visualpython.ai/)
* [Link to Github](https://github.com/visualpython/visualpython)

## Data Analysis

* [1. Import](data-analysis/1.-import.md)
* [2. File](data-analysis/2.-file.md)
* [3. Data Info](data-analysis/3.-data-info.md)
* [4. Frame](data-analysis/4.-frame/README.md)
  * [4-1. Frame - Edit](data-analysis/4.-frame/4-1.-frame-edit.md)
  * [4-2. Frame - Transform](data-analysis/4.-frame/4-2.-frame-transform.md)
  * [4-3. Frame - Sort](data-analysis/4.-frame/4-3.-frame-sort.md)
  * [4-4. Frame - Encoding](data-analysis/4.-frame/4-4.-frame-encoding.md)
  * [4-5. Frame - Data Cleaning](data-analysis/4.-frame/4-5.-frame-data-cleaning.md)
* [5. Subset](data-analysis/5.-subset.md)
* [6. Groupby](data-analysis/6.-groupby.md)
* [7. Bind](data-analysis/7.-bind.md)
* [8. Reshape](data-analysis/8.-reshape.md)

## Visualization

* [1. Chart Style](visualization/1.-chart-style.md)
* [2. Pandas Plot](visualization/2.-pandas-plot.md)
* [3. Matplotlib](visualization/3.-matplotlib.md)
* [4. Seaborn](visualization/4.-seaborn.md)
* [5. Plotly](visualization/5.-plotly.md)
* [6. WordCloud](visualization/6.-wordcloud.md)

## Statistics

* [1. Prob. Distribution](statistics/1.-prob.-distribution.md)
* [2. Descriptive Statistics](statistics/2.-descriptive-statistics.md)
* [3. Normality Test](statistics/3.-normality-test.md)
* [4. Equal Var. Test](statistics/4.-equal-var.-test.md)
* [5. Correlation Analysis](statistics/5.-correlation-analysis.md)
* [6. Reliability Analysis](statistics/6.-reliability-analysis.md)
* [7. Chi-square Test](statistics/7.-chi-square-test.md)
* [8. Student's T-test](statistics/8.-students-t-test.md)
* [9. ANOVA](statistics/9.-anova.md)
* [10. Factor Analysis](statistics/10.-factor-analysis.md)
* [11. Regression](statistics/11.-regression.md)
* [12. Logistic Regression](statistics/12.-logistic-regression.md)

## Machine Learning

* [1. Data Sets](machine-learning/1.-data-sets.md)
* [2. Data Split](machine-learning/2.-data-split.md)
* [3. Data Prep](machine-learning/3.-data-prep.md)
* [4. AutoML](machine-learning/4.-automl.md)
* [5. Regressor](machine-learning/5.-regressor.md)
* [6. Classifier](machine-learning/6.-classifier.md)
* [7. Clustering](machine-learning/7.-clustering.md)
* [8. Dimension](machine-learning/8.-dimension.md)
* [9. GridSearch](machine-learning/9.-gridsearch.md)
* [10. Fit/Predict](machine-learning/10.-fit-predict.md)
* [11. Model Info](machine-learning/11.-model-info.md)
* [12. Evaluation](machine-learning/12.-evaluation.md)
* [13. Pipeline](machine-learning/13.-pipeline.md)
* [14. Save / Load](machine-learning/14.-save-load.md)