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import matplotlib.pyplot as plt
# Define the data for the positioning map
brands = ['Madura Life Wellness Shots', 'Remedy Drinks', 'Nexba Beverages', 'Soulfresh Global']
lifestyle_compatibility = [8, 5, 3, 6] # Assumed scores for how well they fit the lifestyle
accessibility = [5, 7, 8, 7] # Assumed scores for how accessible these products are
# Create the positioning map
plt.figure(figsize=(10, 8))
for i, brand in enumerate(brands):
plt.scatter(lifestyle_compatibility[i], accessibility[i], label=brand, s=100) # s is the size of the point
# Label the axes and the plot
plt.title('Positioning Map for Madura Life Wellness Shots and Competitors')
plt.xlabel('Lifestyle Compatibility')
plt.ylabel('Accessibility')
plt.grid(True)
# Add annotations for each brand
for i, brand in enumerate(brands):
plt.annotate(brand, (lifestyle_compatibility[i], accessibility[i]), textcoords="offset points", xytext=(0,10), ha='center')
# Show the legend and plot
plt.legend()
plt.show()
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