Introduction of the Experimental Data
This dataset is generated from a multi-sensor Arduino/IoT experimental setup designed to simulate a real-world embedded electronics system. In this experiment, an Arduino-based microcontroller is connected to multiple sensors to continuously monitor environmental conditions, motion, electrical power parameters, and wireless communication quality over time. The system records data at regular time intervals, producing 500 observations that represent how the system behaves during operation. Such experiments are commonly used in electronics engineering, IoT system design, sensor fusion, and data analysis training.
The data includes environmental sensors such as temperature, humidity, atmospheric pressure, light intensity, and gas concentration to study surroundings and safety conditions. Motion sensors like accelerometer and gyroscope measure linear acceleration and rotational movement, helping analyze vibration, orientation, or motion events. Electrical parameters such as voltage and current are recorded to evaluate power consumption and energy efficiency of the system. Additionally, Wi-Fi RSSI (signal strength) data is captured to understand wireless connectivity performance, which is crucial for IoT applications. Overall, this dataset represents a complete cyber-physical system experiment, where hardware sensor data is collected and later analyzed using Python to extract insights, detect anomalies, and support intelligent decision-making.
The data analysis task was successfully completed by our team member, Shweta.
