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Advertisement Spend Promotion Spend Administration Spend State Profit Advertisement Spend 136897.8 471784.1 New York 192261.8 Advertisement Spend 151377.6 443898.5 California 191792.1 Advertisement Spend 101145.6 407934.5

Advertisement Spend Promotion Spend Administration Spend State Profit
Advertisement Spend 136897.8 471784.1 New York 192261.8
Advertisement Spend 151377.6 443898.5 California 191792.1
Advertisement Spend 101145.6 407934.5 Florida 191050.4
Advertisement Spend 118671.9 383199.6 New York 182902
Advertisement Spend 91391.77 366168.4 Florida 166187.9
Advertisement Spend 99814.71 362861.4 New York 156991.1
Advertisement Spend 147198.9 127716.8 California 156122.5
Advertisement Spend 145530.1 323876.7 Florida 155752.6
Advertisement Spend 148719 311613.3 New York 152211.8
Advertisement Spend 108679.2 304981.6 California 149760
Advertisement Spend 110594.1 229161 Florida 146122
Advertisement Spend 91790.61 249744.6 California 144259.4
Advertisement Spend 127320.4 249839.4 Florida 141585.5
Advertisement Spend 135495.1 252664.9 California 134307.4
Advertisement Spend 156547.4 256512.9 Florida 132602.7
Advertisement Spend 122616.8 261776.2 New York 129917
Advertisement Spend 121597.6 264346.1 California 126992.9
Advertisement Spend 145077.6 282574.3 New York 125370.4
Advertisement Spend 114175.8 294919.6 Florida 124266.9

phase 1: perform data cleansing step if required

phase 2: Select specific technique (e.g. Clustering, Association Rule, etc.) that you will apply on the dataset

User appropriate techniques and Analyze results of evaluation

phase 3: Submit your results in the form of a report (word format only).

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For this dataset I would recommend using a clustering technique Clustering is a type of unsupervised machine learning technique that can be used to gr... blur-text-image

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