Coding Exercise: Clean Sensor Data Logs
Explore techniques to clean and standardize IoT sensor data logs using Python and pandas. You'll convert inconsistent date formats, replace invalid readings, handle missing data, and tidy your dataset for analysis or loading into data warehouses. This lesson prepares you to ensure real-world sensor data is accurate and ready for downstream processing.
We'll cover the following...
We'll cover the following...
Scenario
You’re on the data engineering team responsible for ingesting and prepping IoT sensor data. A batch of logs came in from temperature sensors, but the dates are messy and inconsistent. Before you can load it into the data warehouse or use it for anomaly detection, your job is to clean and standardize the dataset.