What Tools are Commonly Used for Creating Interactive Plots?
There are several tools widely used to create interactive plots in nanotechnology research:
Matplotlib and Plotly: These Python libraries are popular for creating a wide range of interactive plots and visualizations. D3.js: A JavaScript library that provides powerful tools for creating complex, data-driven documents and visualizations. Tableau: A commercial tool that offers robust features for data visualization and interactive plotting, often used in research and industry settings. Jupyter Notebooks: An open-source web application that allows the creation and sharing of documents containing live code, equations, and visualizations.
