Turning raw experimental data into publication-ready figures is one of the most time-consuming steps in scientific research. SciDraw AI's Scientific Visualization tool streamlines this entire process -- from uploading your data file to exporting journal-standard charts -- all powered by AI that writes and executes Python code for you in real time.
In this 2-minute video tutorial, we walk through the complete workflow so you can start creating professional figures from your own data right away.
What You Will Learn in This Video
This tutorial covers the full Scientific Visualization workflow in SciDraw AI, including data upload, chart configuration, AI-driven code generation, multi-format export, and iterative editing. By the end, you will know how to go from a raw CSV file to a polished, journal-ready figure in under two minutes.
Upload Your Data
Getting started is straightforward. Navigate to the Sci-Vis section from the SciDraw AI navbar, then drag and drop your data file into the upload area. SciDraw AI supports CSV, TSV, and Excel formats. In this tutorial, we upload a CSV file containing gene expression data.
Once uploaded, the system automatically parses and previews your data. It also analyzes the structure of your dataset and recommends suitable chart types based on the columns and data distribution it detects. This smart analysis saves you time by suggesting the most appropriate visualizations for your specific data.





