<｜begin▁of▁sentence｜>### Instruction:
As a data analyst, you're tasked with gathering, analyzing, and interpreting data to support decision-making processes and inform business strategies. Imagine you're working for a retail company that wants to optimize its store layout for better customer flow. One crucial aspect is determining the precise locations for product displays.

Given the data on customer traffic patterns within the store and utilizing networkx, the network analysis Python library, you're asked to determine the Cartesian coordinates corresponding to polar coordinates representing a display stand. Specifically, you need to find the point in Cartesian space that is 5 units away from the store center (the origin) and positioned at an angle of 30 degrees from the X-axis. This information will aid in strategically placing the display stand to maximize customer visibility and accessibility.
### Response:
import math

# Define the polar coordinates
radius = 5
angle_in_degrees = 30
angle_in_radians = math.radians(angle_in_degrees)

# Calculate the Cartesian coordinates
x = radius * math.cos(angle_in_radians)
y = radius * math.sin(angle_in_radians)

# Construct the point from polar coordinates
point = {'x': x, 'y': y}

print(f'Cartesian coordinates: {point}')
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