# Visual Python Manual

## Visual Python Manual

- [Visual Python Manual](https://visual-python.gitbook.io/docs/visual-python-manual.md): This manual introduces the basic usages and tips for using Visual Python.
- [Welcome to Visual Python](https://visual-python.gitbook.io/docs/getting-started/welcome-to-visual-python.md)
- [How to install](https://visual-python.gitbook.io/docs/getting-started/how-to-install.md): This document will show how to install Visual Python.
- [Installing FAQ](https://visual-python.gitbook.io/docs/getting-started/installing-faq.md): Frequently Asked Questions.
- [1. Import](https://visual-python.gitbook.io/docs/data-analysis/1.-import.md): Import Packages and Modules
- [2. File](https://visual-python.gitbook.io/docs/data-analysis/2.-file.md): Read or Write a File
- [3. Data Info](https://visual-python.gitbook.io/docs/data-analysis/3.-data-info.md): Check the Basic Information of the Data
- [4. Frame](https://visual-python.gitbook.io/docs/data-analysis/4.-frame.md): Edit the Data Frame Easily Using Various Functions
- [4-1. Frame - Edit](https://visual-python.gitbook.io/docs/data-analysis/4.-frame/4-1.-frame-edit.md)
- [4-2. Frame - Transform](https://visual-python.gitbook.io/docs/data-analysis/4.-frame/4-2.-frame-transform.md)
- [4-3. Frame - Sort](https://visual-python.gitbook.io/docs/data-analysis/4.-frame/4-3.-frame-sort.md)
- [4-4. Frame - Encoding](https://visual-python.gitbook.io/docs/data-analysis/4.-frame/4-4.-frame-encoding.md)
- [4-5. Frame - Data Cleaning](https://visual-python.gitbook.io/docs/data-analysis/4.-frame/4-5.-frame-data-cleaning.md)
- [5. Subset](https://visual-python.gitbook.io/docs/data-analysis/5.-subset.md): Extract the data that meet specific conditions from Data Frame.
- [6. Groupby](https://visual-python.gitbook.io/docs/data-analysis/6.-groupby.md): Group the Data in the DataFrame
- [7. Bind](https://visual-python.gitbook.io/docs/data-analysis/7.-bind.md): Concatenate or Merge DataFrames
- [8. Reshape](https://visual-python.gitbook.io/docs/data-analysis/8.-reshape.md): Reshape the Data into Long or Wide Format
- [1. Chart Style](https://visual-python.gitbook.io/docs/visualization/1.-chart-style.md): Configuring the Basic Style of the Chart from Font to Graph Size
- [2. Pandas Plot](https://visual-python.gitbook.io/docs/visualization/2.-pandas-plot.md)
- [3. Matplotlib](https://visual-python.gitbook.io/docs/visualization/3.-matplotlib.md)
- [4. Seaborn](https://visual-python.gitbook.io/docs/visualization/4.-seaborn.md)
- [5. Plotly](https://visual-python.gitbook.io/docs/visualization/5.-plotly.md)
- [6. WordCloud](https://visual-python.gitbook.io/docs/visualization/6.-wordcloud.md)
- [1. Prob. Distribution](https://visual-python.gitbook.io/docs/statistics/1.-prob.-distribution.md): Generate a Specific Distribution or View Information
- [2. Descriptive Statistics](https://visual-python.gitbook.io/docs/statistics/2.-descriptive-statistics.md): View the Statistics of Your Data
- [3. Normality Test](https://visual-python.gitbook.io/docs/statistics/3.-normality-test.md)
- [4. Equal Var. Test](https://visual-python.gitbook.io/docs/statistics/4.-equal-var.-test.md)
- [5. Correlation Analysis](https://visual-python.gitbook.io/docs/statistics/5.-correlation-analysis.md)
- [6. Reliability Analysis](https://visual-python.gitbook.io/docs/statistics/6.-reliability-analysis.md)
- [7. Chi-square Test](https://visual-python.gitbook.io/docs/statistics/7.-chi-square-test.md)
- [8. Student's T-test](https://visual-python.gitbook.io/docs/statistics/8.-students-t-test.md)
- [9. ANOVA](https://visual-python.gitbook.io/docs/statistics/9.-anova.md)
- [10. Factor Analysis](https://visual-python.gitbook.io/docs/statistics/10.-factor-analysis.md)
- [11. Regression](https://visual-python.gitbook.io/docs/statistics/11.-regression.md)
- [12. Logistic Regression](https://visual-python.gitbook.io/docs/statistics/12.-logistic-regression.md)
- [1. Data Sets](https://visual-python.gitbook.io/docs/machine-learning/1.-data-sets.md): Import or Create Sample Data
- [2. Data Split](https://visual-python.gitbook.io/docs/machine-learning/2.-data-split.md): Divide Your Data into Training and Testing Data
- [3. Data Prep](https://visual-python.gitbook.io/docs/machine-learning/3.-data-prep.md): Tools for Preprocessing(Encoding/Scaling)
- [4. AutoML](https://visual-python.gitbook.io/docs/machine-learning/4.-automl.md)
- [5. Regressor](https://visual-python.gitbook.io/docs/machine-learning/5.-regressor.md)
- [6. Classifier](https://visual-python.gitbook.io/docs/machine-learning/6.-classifier.md)
- [7. Clustering](https://visual-python.gitbook.io/docs/machine-learning/7.-clustering.md)
- [8. Dimension](https://visual-python.gitbook.io/docs/machine-learning/8.-dimension.md)
- [9. GridSearch](https://visual-python.gitbook.io/docs/machine-learning/9.-gridsearch.md)
- [10. Fit/Predict](https://visual-python.gitbook.io/docs/machine-learning/10.-fit-predict.md)
- [11. Model Info](https://visual-python.gitbook.io/docs/machine-learning/11.-model-info.md)
- [12. Evaluation](https://visual-python.gitbook.io/docs/machine-learning/12.-evaluation.md)
- [13. Pipeline](https://visual-python.gitbook.io/docs/machine-learning/13.-pipeline.md)
- [14. Save / Load](https://visual-python.gitbook.io/docs/machine-learning/14.-save-load.md)