[USER (data scientist)]: What is the relationship between property prices, distance to the CBD, and access to public transportation in Flemington, Australia? Show me a table of correlation coefficients (Price vs. Distance, Price vs. Public Transportation Access). Please generate a DataFrame to analyze the correlation between 'Price' and 'Distance' in the 'melbourne_housing' dataset.

My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import pickle

melbourne_housing = pd.read_csv("melb_data.csv")

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END:

print(correlation_price_distance)

# save data
pickle.dump(correlation_price_distance,open("./pred_result/correlation_price_distance.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you with that.
