How to Use
==========

PreppyData allows you to preprocess your data easily and efficiently. Follow the detailed instructions below to get started.

Step 1: Upload Your Data
-------------------------

Prepare your dataset in CSV or XLSX format.

1. Access PreppyData
   - Note: The official domain address is not yet available. Please use the application directly.
   - Open the PreppyData application on your computer.
   - Click on the "Upload" button.
   - Select your CSV or XLSX file to upload.

Step 2: Select Preprocessing Options
-------------------------------------

Customize your data preprocessing by choosing from our list of options:

2.1 Data Encoding
~~~~~~~~~~~~~~~~~

Transform categorical variables into numerical format.

**Options:**
- **One-Hot Encoding**: Creates binary columns for each category.
- **Label Encoding**: Assigns a unique integer to each category.

**How to Select:**
- Navigate to the "Data Encoding" section.
- Choose One-Hot Encoding or Label Encoding by checking the corresponding box.

2.2 Outlier Detection
~~~~~~~~~~~~~~~~~~~~~~

Identify and handle outliers in your data.

**Options:**
- **Z-Score**: Detects outliers based on standard deviations from the mean.
- **Interquartile Range (IQR)**: Uses quartiles to identify outliers.
- **Local Outlier Factor (LOF)**: Detects anomalies based on local density.

**How to Select:**
- Go to the "Outlier Detection" section.
- Select the desired method(s) by checking the appropriate boxes.

2.3 Missing Value Handling
~~~~~~~~~~~~~~~~~~~~~~~~~~~

Address missing data in your dataset.

**Options:**
- **Mean Imputation**: Replaces missing values with the mean.
- **Median Imputation**: Uses the median to fill missing values.
- **Deletion**: Removes rows or columns with missing values.

**How to Select:**
- Access the "Missing Value Handling" section.
- Choose your preferred method.

**Note:** If you do not select any options, default methods will be applied automatically.

Step 3: Apply Preprocessing
----------------------------

After selecting your options, click on the "Apply" button.

- The application will process your data based on your selections.
- A progress indicator will show the processing status.

Step 4: Download Processed Data
--------------------------------

Once preprocessing is complete, you can review a summary of the changes.

1. Click on the "Download" button.
2. Save your processed data in your preferred format (CSV or XLSX).