LwM2M:

{'Canada': 1, 'Russia': 1, 'Japan': 1, 'India': 1, 'Italy': 1, 'Serbia': 1, 'N/A': 1, 'Israel': 1, 'Lithuania': 1, 'Argentina': 1, 'Brazil': 1, 'Norway': 1, 'Taiwan': 1, 'Ukraine': 1, 'Belgium': 2, 'Poland': 2, 'China': 3, 'South Korea': 3, 'Spain': 4, 'Switzerland': 4, 'UK': 5, 'Germany': 5, 'France': 5, 'Sweden': 6, 'USA': 22}

defaultdict(<class 'int'>, {'No': 30, 'Yes': 21, 'Univ': 11, 'Other': 13})
{'Yes': defaultdict(<class 'int'>, {'Big': 5, 'Very big': 16}), 'No': defaultdict(<class 'int'>, {'Very big': 1, 'Big': 9, 'Small': 11, 'Medium': 8, 'N/A': 5})}
defaultdict(<class 'int'>, {'No': 249, 'Yes': 121, 'Univ': 39, 'Other': 35})
{'Yes': defaultdict(<class 'int'>, {'Big': 55, 'Very big': 66}), 'No': defaultdict(<class 'int'>, {'Very big': 77, 'Big': 67, 'Small': 60, 'Medium': 51, 'Medium big': 2})}


NB-IoT:

{'France/China': 1, 'Taiwan': 1, 'Japan': 1, 'South Korea': 1, 'Spain': 1, 'Denmark': 1, 'Australia': 1, 'Canada': 1, 'Czech Republic': 1, 'Poland': 1, 'Thailand': 1, 'Brazil': 1, 'Finland': 2, 'Norway': 2, 'Malaysia': 2, 'N/A': 2, 'Netherlands': 2, 'UK': 2, 'France': 3, 'China': 4, 'Germany': 4, 'USA': 10}

defaultdict(<class 'int'>, {'Univ': 14, 'Yes': 13, 'No': 18})
{'Yes': defaultdict(<class 'int'>, {'Very big': 11, 'Big': 1, 'Medium': 1}), 'No': defaultdict(<class 'int'>, {'Medium': 3, 'N/A': 25, 'Small': 7, 'Big': 2, 'Very big': 1})}
defaultdict(<class 'int'>, {'Univ': 79, 'Yes': 40, 'No': 71})
{'Yes': defaultdict(<class 'int'>, {'Very big': 35, 'Big': 3, 'Medium': 2}), 'No': defaultdict(<class 'int'>, {'Medium': 48, 'Small': 45, 'Medium big': 28, 'Big': 32, 'Very big': 30})}


CoAP:

{'Brazil': 1, 'Canada': 1, 'Romania': 1, 'Serbia': 1, 'Mexico': 1, 'New Zealand': 1, 'Norway': 1, 'Belgium': 1, 'Russia': 1, 'Denmark': 1, 'Ukraine': 1, 'Ireland': 1, 'Netherlands': 2, 'Finland': 2, 'Italy': 2, 'Spain': 3, 'South Korea': 3, 'Poland': 4, 'Switzerland': 4, 'UK': 5, 'France': 5, 'China': 6, 'Sweden': 6, 'Germany': 12, 'USA': 30}

defaultdict(<class 'int'>, {'Yes': 25, 'No': 46, 'Univ': 21, 'Other': 4})
{'Yes': defaultdict(<class 'int'>, {'Very big': 13, 'Medium big': 2, 'Big': 5, 'Medium': 4, 'N/A': 5}), 'No': defaultdict(<class 'int'>, {'Small': 27, 'Big': 8, 'Medium': 4, 'Very big': 5, 'Medium big': 2})}
defaultdict(<class 'int'>, {'Yes': 329, 'No': 323, 'Univ': 197, 'Other': 14})
{'Yes': defaultdict(<class 'int'>, {'Very big': 210, 'Medium big': 42, 'Big': 64, 'Medium': 34, 'Small': 7}), 'No': defaultdict(<class 'int'>, {'Small': 178, 'Big': 71, 'Medium': 36, 'Very big': 25, 'Medium big': 13})}


Zigbee:

{'New Zealand': 1, 'Sweden': 1, 'Russia': 1, 'Taiwan': 1, 'Brazil': 1, 'Norway': 1, 'Other': 1, 'Japan': 2, 'Switzerland': 2, 'South Korea': 2, 'Finland': 2, 'Netherlands': 2, 'China': 2, 'Poland': 2, 'Israel': 2, 'France': 4, 'Global': 6, 'UK': 7, 'Germany': 8, 'USA': 49}

defaultdict(<class 'int'>, {'Yes': 41, 'No': 44, 'Other': 10, 'Univ': 2})
{'Yes': defaultdict(<class 'int'>, {'Very big': 31, 'Big': 9, 'Medium': 1}), 'No': defaultdict(<class 'int'>, {'Very big': 11, 'Big': 11, 'Medium': 11, 'Small': 8, 'N/A': 10, 'Medium big': 1})}
defaultdict(<class 'int'>, {'Yes': 2129, 'No': 1027, 'Other': 228, 'Univ': 20})
{'Yes': defaultdict(<class 'int'>, {'Very big': 1761, 'Big': 338, 'Medium': 30}), 'No': defaultdict(<class 'int'>, {'Very big': 314, 'Big': 351, 'Medium': 308, 'Small': 129, 'Medium big': 45})}