How Morph works

Morph is a comprehensive data tool that includes data import, analysis, visualization, and sharing. This section explains how Morph works step-by-step, enabling users to handle data easily and quickly gain insights.

1. Import Data into the Workspace

Morph allows users to import data from various data sources into the workspace easily. Users can leverage import features that support various file formats such as CSV, JSON, and Excel files. Also, data can be imported directly from cloud storage or databases.

2. Build Data Pipelines on the Canvas

Once data is imported into the workspace, it’s time to build data pipelines on the canvas. Morph AI automates building data cleaning, transformation, and integration. Users can build pipelines with drag-and-drop operations, and the AI suggests optimal processing methods.

3. Edit Code

Morph provides a powerful editor for querying and analyzing data using SQL or Python. Users can edit code using a built-in code editor to extract necessary data or perform complex analyses. Real-time execution results allow users to obtain feedback quickly.

4. Generate Visualizations and Reports

After analysis, Morph’s rich visualization tools are used to visualize data. Various graphs and charts can be created easily, and interactive dashboards can also be built. Generated visualizations can be exported as reports or shared in real-time, effectively conveying data insights.

5. Share with the Team

Morph allows users to easily share their created data, pipelines, code, and visualizations with team members. This promotes collaboration across the team, enabling efficient data-driven decision-making.