# 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) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information, you can query the documentation dynamically by asking a question. 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