How can I use NumPy for advanced statistical analysis?

How can I use NumPy for advanced statistical analysis?

You can use NumPy for various advanced statistical analyses, such as calculating means, medians, standard deviations, and performing linear regression. Would you like to see some code examples?

Yes, please provide an example of calculating the mean and standard deviation.

Sure! Here's a simple example:

import numpy as np

data = np.array([1, 2, 3, 4, 5])
mean = np.mean(data)
std_dev = np.std(data)
print('Mean:', mean)
print('Standard Deviation:', std_dev)

This will calculate the mean and standard deviation of the data array.

What about performing a linear regression using NumPy?

You can perform linear regression using NumPy's polyfit function. Here's an example:

import numpy as np

# Sample data
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 3, 5, 7, 11])

# Perform linear regression
slope, intercept = np.polyfit(x, y, 1)
print('Slope:', slope)
print('Intercept:', intercept)

This will give you the slope and intercept of the best-fit line.