The downloadable Astro Pi Science Data CSV files contain quite a few columns. The scope includes Astro Pi temperature, ambient temperature, relative humidity, air pressure, 3D orientation, 3D acceleration, 3D magnetic field strength and 3D rotation.
Thankfully they all have meaningful names. Here's the full list:
row_id: Unique row identity number for each rowtemp_cpu: Raspberry Pi CPU temperature degrees in Celsius
temp_h: Ambient temperature in Celsius (Sense HAT humidity sensor)
temp_p: Ambient temperature in Celsius (Sense HAT pressure sensor)
humidity: The percent relative humidity (Sense HAT humidity sensor)
pressure: Air pressure in millibars (Sense HAT pressure sensor)
pitch: Pitch orientation angle from 0 to 360 degrees (Sense HAT accel + gyro + mag data)
roll: Roll orientation angle from 0 to 360 degrees (Sense HAT accel + gyro + mag data)
yaw: Yaw orientation angle from 0 to 360 degrees (Sense HAT accel + gyro + mag data)
mag_x: X axis magnetic field strength in micro-teslas (Sense HAT magnetometer)
mag_y: Y axis magnetic field strength in micro-teslas (Sense HAT magnetometer)
mag_z: Z axis magnetic field strength in micro-teslas (Sense HAT magnetometer)
accel_x: The acceleration intensity of the X axis in Gs (Sense HAT accelerometer)
accel_y: The acceleration intensity of the Y axis in Gs (Sense HAT accelerometer)
accel_zv: The acceleration intensity of the Z axis in Gs (Sense HAT accelerometer)
gyro_x: X axis rotational intensity in radians per second (Sense HAT gyroscope)
gyro_y: Y axis rotational intensity in radians per second (Sense HAT gyroscope)
gyro_z: Z axis rotational intensity in radians per second (Sense HAT gyroscope)
reset: Copy of the Raspberry Pi CPU reset register
time_stamp: Date and time of data readings (Astro Pi real-time clock)
Also see my Astro Pi Data: Python Basics tutorial.
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