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).