Scripting plays a crucial role in the analysis of large datasets generated in nanotechnology research. By writing custom scripts, researchers can automate the processing of experimental data, including filtering, normalization, and statistical analysis. This ensures consistency and reproducibility in data handling. Scripting also enables the visualization of complex data through plots and graphs, aiding in the interpretation of results and the communication of findings. Libraries such as Matplotlib and Plotly in Python provide powerful tools for data visualization.
