csv-processing

What problem does it solve?

Reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, and handling missing values in datasets are common engineering tasks. This skill provides a clear, repeatable approach to load, clean, transform, and export CSV data for analysis and modeling.

Core Features & Use Cases

• Read CSV data with proper NA handling and flexible type inference.
• Handle missing values, filter data, and apply simple transformations.
• Write results back to CSV and incrementally build analysis outputs.
• Perform basic time-series operations and subset data for dashboards or simulations.

Quick Start

Load a sensor CSV, clean missing values, compute a simple statistic, and save the results to output.csv.