visualpython · minjk-bl · May 7, 2024 · Feb 14, 2024 · Feb 14, 2024 · Feb 14, 2024
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diff --git a/docs/README.md b/docs/README.md
@@ -0,0 +1,62 @@
+---
+description: This manual introduces the basic usages and tips for using Visual Python.
+---
+
+# Visual Python Manual
+
+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)
+
+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/)
+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)
diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
@@ -0,0 +1,68 @@
+# 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)
diff --git a/docs/data-analysis/1.-import.md b/docs/data-analysis/1.-import.md
@@ -0,0 +1,27 @@
+---
+description: Import Packages and Modules
+---
+
+# 1. Import
+
+
+
+<figure><img src="../.gitbook/assets/image (31).png" alt="" width="229"><figcaption></figcaption></figure>
+
+1. Click on _**Import**_ in the Data Analysis category.
+
+
+
+<figure><img src="../.gitbook/assets/image (30).png" alt="" width="563"><figcaption></figcaption></figure>
+
+2. Choose _**Data Analysis**_ or _**Machine Learning**_ according to the purpose of the feature you want to import.
+3. Select the packages or modules you want to import.
+4. If the desired feature is not in the list, you can add it directly using _**+Module**_ or _**+Function**_. (The added feature is automatically saved for easy future imports.)
+
+&#x20;       4-1. Use _**+Module**_ to add packages or modules.
+
+&#x20;       4-2. Use _**+Function**_ to add functions.
+
+5. You can review the code that will be generated through _**Code View**_.
+6. Press _**Run**_ to execute the code.
+
diff --git a/docs/data-analysis/2.-file.md b/docs/data-analysis/2.-file.md
@@ -0,0 +1,86 @@
+---
+description: Read or Write a File
+---
+
+# 2. File
+
+
+
+<figure><img src="../.gitbook/assets/image (32).png" alt="" width="310"><figcaption></figcaption></figure>
+
+1. Click on the _**File**_ in the Data Analysis category.
+
+
+
+<figure><img src="../.gitbook/assets/image (34).png" alt="" width="563"><figcaption></figcaption></figure>
+
+2. Choose whether to read or save a file from the top bar
+
+&#x20;       2-1. You can use sample data prepared by Visual Python through _**Sample Data**_.
+
+
+
+### Read File
+
+
+
+<figure><img src="../.gitbook/assets/image (35).png" alt="" width="563"><figcaption></figcaption></figure>
+
+1. Select the type of file to load.
+2. Choose the file path.
+3. Enter the variable name (Callable name, Identifier) for the file.
+
+
+
+<figure><img src="../.gitbook/assets/image (36).png" alt="" width="563"><figcaption></figcaption></figure>
+
+4. _**Additional Options**_ allow various settings.
+
+&#x20;       4-1. If not set separately, the default values set by Visual Python will be applied.
+
+&#x20;       4-2. Any settings not found here can be entered in the _**User Option**_ for configuration.
+
+5. _**Encoding**_: Specify the encoding of the file.
+6. _**Header**_: Select _**None**_ if you do not want to use column names.
+
+&#x20;       6-1. By default, the values entered in the first row are set as column names.
+
+7. _**Separator**_: Choose the delimiter that separates the data fields in the file.
+8. _**Columns**_: You can set column names by entering a pre-made list or specific values.
+9. _**Column List to Use**_: Specify specific columns to load from multiple columns in the file.
+10. _**Column to Use as Index**_: Specify the column from the file's columns to use as an index.
+11. _**Na Values**_: Represent missing values with the specified input.
+12. _**Rows to Skip**_: Specify the number of rows to ignore at the beginning of the file.
+13. _**Number of Rows**_: Read only the specified number of rows from the beginning.
+14. _**Chunksize**_: Divide the file into separate parts and read them to create separate DataFrames. Helpful in handling large files.
+
+
+
+### Write File
+
+
+
+<figure><img src="../.gitbook/assets/image (37).png" alt="" width="563"><figcaption></figcaption></figure>
+
+1. Select the type to save.
+2. Choose the DataFrame to save.
+3. Select the location to save.
+4. _**Additional Options**_ allow various settings.
+
+&#x20;       4-1. If not set separately, the default values set by Visual Python will be applied.
+
+&#x20;       4-2. Any settings not found here can be entered in the _**User Options**_ for configuration.
+
+5. _**Encoding**_: Specify the encoding of the file.
+6. _**Header**_: Choose _**False**_ to exclude column names when saving.
+
+&#x20;       6-1. By default, column names are saved as the first row.
+
+7. _**Index**_: Choose _**False**_ to exclude the index when saving.
+
+&#x20;       7-1. By default, the index is saved as the first column.
+
+8. _**Separator**_: Choose the delimiter that separates the data fields in the file.
+9. _**Na Replacing Value**_: Replace missing values with the specified input when saving.
+10. _**Columns**_: You can save only specific columns.
+
diff --git a/docs/data-analysis/3.-data-info.md b/docs/data-analysis/3.-data-info.md
@@ -0,0 +1,93 @@
+---
+description: Check the Basic Information of the Data
+---
+
+# 3. Data Info
+
+
+
+<figure><img src="../.gitbook/assets/image (8) (1).png" alt="" width="312"><figcaption></figcaption></figure>
+
+1. Click on _**Data Info**_ in the Data Analysis category.
+
+
+
+<figure><img src="../.gitbook/assets/image (9) (1).png" alt=""><figcaption></figcaption></figure>
+
+2. Click on the _**Data tab**_ at the top left to select the DataFrame for which you want to view information.
+
+&#x20;       2-1. Click on the _**funnel icon**_ on the tab's right side allows you to extract specific columns.
+
+3. In the _**Info Preview**_ on the right, information is displayed briefly.
+4. Clicking _**Run**_ will execute the code without closing the window.&#x20;
+5. Use _**Code View**_ at the bottom left to check the generated code.
+
+
+
+### General
+
+
+
+<figure><img src="../.gitbook/assets/image (10) (1).png" alt=""><figcaption></figcaption></figure>
+
+1. _**Info**_ provides basic information such as Column, Non-Null Count, Dtype, etc.
+2. _**Describe**_ displays basic statistics for each column.
+3. _**Head**_ shows the top five rows of the DataFrame.
+4. _**Tail**_ displays the bottom five rows of the DataFrame.
+
+
+
+### Status
+
+
+
+<figure><img src="../.gitbook/assets/image (11) (1).png" alt=""><figcaption></figcaption></figure>
+
+1. _**Null Count**_ shows the count of Null and Non-Null values for each column.
+2. _**Duplicated**_ reveals the count of duplicated values.
+3. _**Unique**_ works on a single column. Shows the unique values in a column.
+4. _**Value Counts**_ displays the count of each value in each column. For continuous variables, it shows the count within arbitrarily defined intervals.
+
+
+
+### Statistics
+
+
+
+<figure><img src="../.gitbook/assets/image (12) (1).png" alt=""><figcaption></figcaption></figure>
+
+1. Check and confirm desired statistical values.
+
+&#x20;       1-1. Multiple selections are possible for square values.
+
+&#x20;       1-2. Multiple selections are not possible for circular values.&#x20;
+
+
+
+### Correlation
+
+
+
+<figure><img src="../.gitbook/assets/image (13) (1).png" alt=""><figcaption></figcaption></figure>
+
+1. _**Correlation Table**_ shows a table indicating the correlation between each column.
+2. _**Correlation Matrix**_ represents the correlation table as a Heat Map.
+
+
+
+### Distribution
+
+
+
+<figure><img src="../.gitbook/assets/image (14).png" alt=""><figcaption></figcaption></figure>
+
+1. Represents data in various forms.
+
+&#x20;       1-1. Histogram
+
+&#x20;       1-2. Scatter Matrix
+
+&#x20;       1-3. Box Plot
+
+&#x20;       1-4. Counter Plot
+