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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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