This section provides an overview of the Data Processing API, which allows developers to process and manipulate data efficiently. Below is a list of key features and instructions on how to use the API.

Key Features

  • Real-time Data Processing: Process large volumes of data in real-time.
  • Data Transformation: Convert data from one format to another.
  • Data Analysis: Perform various statistical and analytical operations on data.
  • Data Visualization: Generate visual representations of data trends.

Getting Started

Before using the Data Processing API, ensure that you have:

Usage Instructions

1. Real-time Data Processing

To process data in real-time, use the following endpoint:

POST /data-processing/realtime

Example payload:

{
  "data": "Your data here"
}

2. Data Transformation

Transform data between different formats using the following endpoint:

POST /data-processing/transform

Example payload:

{
  "source_format": "CSV",
  "target_format": "JSON",
  "data": "Your data here"
}

3. Data Analysis

Analyze your data with various statistical and analytical operations using:

POST /data-processing/analyze

Example payload:

{
  "data": "Your data here",
  "operation": "mean"
}

4. Data Visualization

Visualize data trends using:

POST /data-processing/visualize

Example payload:

{
  "data": "Your data here",
  "chart_type": "line"
}

Frequently Asked Questions (FAQ)

  • What is the maximum data size I can process? The maximum data size varies depending on the API plan you are using. For more information, contact support.

  • How do I handle API errors? API errors are returned with a status code and a message. For details, refer to the API Error Codes section.

  • Can I use the API for commercial purposes? Yes, you can use the Data Processing API for commercial purposes. For more information, review our terms of service.

Additional Resources

For further reading, check out the following resources:

Data Processing