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You're going to keep working with the environmental dataset from the previous lessons. However, it now contains 3 additional columns about a river's water-status in the same geographic area.

The additional columns are:

  • flow-rate in m3/s
  • water-level in cm
  • water-temperature in °C

You'll now try to find correlations between the columns.

pandas as pd, seaborn as sns and matplotlib.pyplot as plt have been imported for you.

This exercise is part of the course

Analyzing IoT Data in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate correlation
____

# Print correlation
print(____)
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