Election Statistics Program Plan: Import the required java package. Define the class “ElectionStatistics”. Define the main method. Declare the required variables. Create a scanner class object to get user input. Prompt the user to enter three party names and the votes received by them. Compute total votes received by all three parties. Compute the percentage of vote received by each party. Display the percentage of vote received by each party.

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Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.

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Chapter 2, Problem 16PE

Program Plan Intro

Election Statistics

Program Plan:

Import the required java package.

Define the class “ElectionStatistics”.

Define the main method.

Declare the required variables.

Create a scanner class object to get user input.

Prompt the user to enter three party names and the votes received by them.

Compute total votes received by all three parties.

Compute the percentage of vote received by each party.

Display the percentage of vote received by each party.

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Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.

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