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Implemented MapReduce in Hadoop, The input were 6 books written in 3 different language - English, French and Spanish. Clear illustration and inferred the functionality of MapReduce as the output was received in 3 different files, each showing the average count of letter occurrence in the books. Used the D3.js tool for visualization and made 3 d…

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anigitedu/BDA-Alphabet-Counting

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BDA-Alphabet-Counting

Implemented MapReduce in Hadoop, The input were 6 books written in 3 different language - English, French and Spanish. Clear illustration and inferred the functionality of MapReduce as the output was received in 3 different files, each showing the average count of letter occurrence in the books. Used the D3.js tool for visualization and made 3 different charts - bar chart, pie chart, and circular parking. The 3 visualizations are constructed on the basis of the output received from MapReduce. The charts are self-evident and the meaning can be effortlessly inferred.

Input Files / Dataset:- miniproj_english.csv miniproj_french.csv miniproj_spanish.csv

Code files of D3.JS :- miniproj_barchart(spanish).html miniproj_cp(french).html miniproj_piechart(english).html

Code files for Mapreduce:- alphacount.java Keymap.java Alphareduce.java Alphamap.java

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Implemented MapReduce in Hadoop, The input were 6 books written in 3 different language - English, French and Spanish. Clear illustration and inferred the functionality of MapReduce as the output was received in 3 different files, each showing the average count of letter occurrence in the books. Used the D3.js tool for visualization and made 3 d…

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