> For the complete documentation index, see [llms.txt](https://visual-python.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://visual-python.gitbook.io/docs/visual-python-manual.md).

# Visual Python Manual

Getting Started

* [Welcome to Visual Python](/docs/getting-started/welcome-to-visual-python.md)
* [How to install](/docs/getting-started/how-to-install.md)
* [Installing FAQ](/docs/getting-started/installing-faq.md)

Data Analysis

1. [Import](/docs/data-analysis/1.-import.md)
2. [File](/docs/data-analysis/2.-file.md)
3. [Data Info](/docs/data-analysis/3.-data-info.md)
4. [Frame](/docs/data-analysis/4.-frame.md)
5. [Subset](/docs/data-analysis/5.-subset.md)
6. [Groupby](/docs/data-analysis/6.-groupby.md)
7. [Bind](/docs/data-analysis/7.-bind.md)
8. [Reshape](/docs/data-analysis/8.-reshape.md)

Visualization

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

Statistics

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

Machine Learning

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


---

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