Question: Consider the following IMDB data. [10] 96 8.3 2 1 110 4 1 1 0 4 3 1 4 10 226 6 12 477 1

Consider the following IMDB data. [10] 96 8.3 2 1

Consider the following IMDB data. [10] 96 8.3 2 1 110 4 1 1 0 4 3 1 4 10 226 6 12 477 1 title rating year wins nominations news reviews 2 Der Vagabund und das Kind (1921) 8.4 1921 1 0 85 3 Goldrausch (1925) 1925 122 4 Metropolis (1927) 8.4 1927 3 428 376 5 Der General (1926) 8.3 1926 1 123 219 6 Lichter der GroYstadt (1931) 8.7 1931 2 0 187 186 7 M (1931) 8.5 1931 254 8 Es geschah in einer Nacht (1934) 8.3 1934 4 1 183 211 9 Moderne Zeiten (1936) 8.6 1936 27 180 10 Vom Winde verweht (1939) 8.2 1939 10 6 1263 653 11 Mr. Smith geht nach Washington (1939) 8.4 1939 110 12 Der Zauberer von Oz (1939) 8.1 1939 2363 13 Fr%chte des Zorns (1940) 8.2 1940 6 5 135 257 14 Der groYe Diktator (1940) 8.5 1940 5 181 173 15 Rebecca (1940) 8.3 1940 2 9 328 241 16 Citizen Kane (1941) 8.5 1941 1439 1101 17 Die Spur des Falken (1941) 8.2 1941 1 0 332 294 18 Casablanca (1942) 8.6 1942 382 960 19 Frau ohne Gewissen (1944) 8.5 1944 3 0 231 260 20 Die besten Jahre unseres Lebens (1946) 8.3 1946 13 1 129 218 a) Discuss any two analytics tasks that can be performed on the above data. (b) Perform both types of binning on the feature reviews". Plot a histogram for the feature, the number of bins is 4 1 7 10 5 6 (C) Other than binning, write any three data transformations and justify the transformations. One technique should be specifically written for the feature "title

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