Highlights
What is the aim?
The aim of this assignment is to have practical experience with data analytics process.
What to be done?
Data Selection:
You and your team members choose a project topic.
There are three datasets:
Air pollution Seoul
E-Motor Temperature
UK Car Accidents 2005-2015
Air Pollution Seoul
This dataset deals with air pollution measurement information in Seoul, South Korea.Seoul Metropolitan Government provides many public data, including air pollution information, through the 'Open Data Plaza'
This data provides average values for six pollutants (SO2, NO2, CO, O3, PM10, PM2.5).
Data were measured every hour between 2017 and 2019.
Data were measured for 25 districts in Seoul.
This dataset is divided into four files:
Measurement info: Air pollution measurement information
1 hour average measurement is provided after calibration
Instrument status:
0: Normal, 1: Need for calibration, 2: Abnormal
4: Power cut off, 8: Under repair, 9: abnormal data
Measurement item info: Information on air pollution measurement items
Measurement station info: Information on air pollution instrument stations
Measurement summary: A condensed dataset based on the above three data
Electric Motor Temperature
140 hrs recordings from a permanent magnet synchronous motor (PMSM)
The data set comprises several sensor data collected from a permanent magnet synchronous motor (PMSM) deployed on a test bench. The PMSM represents a German OEM's prototype model. Test bench measurements were collected by Paderborn University.
All recordings are sampled at 2 Hz. The data set consists of multiple measurement sessions, which can be distinguished from each other by column "profile_id". A measurement session can be between one and six hours long.
The motor is excited by hand-designed driving cycles denoting a reference motor speed and a reference torque.Currents in d/q-coordinates (columns "id" and iq") and voltages in d/q-coordinates (columns "ud" and "uq") are a result of a standard control strategy trying to follow the reference speed and torque.Columns "motor_speed" and "torque" are the resulting quantities achieved by that strategy, derived from set currents and voltages.
Most driving cycles denote random walks in the speed-torque-plane in order to imitate real world driving cycles to a more accurate degree than constant excitations and ramp-ups and -downs would.
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