Abstract
Data analysis is a multi-disciplinary approach for developing mathematical models for analyzing data and doing predictions from it. The aim of this work is to study the past election results from the available data and develop a model that can be used to find the results of upcoming elections. The ups and downs in a particular region or constituency has been analyzed using the proposed algorithm, and the results have been represented by using bar graphs. The steps carried out include data scrapping of the voter list and preprocessing it. The model makes it easy and simple to read every person’s data, which includes the caste of the person (caste analysis) and the economic value of the constituency that can be used in support of favorable candidate that can be chosen for a particular constituency.
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Ejaz, H.Q., Naaz, S. (2021). Vote Projection Model Based on Past Election Results. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_7
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DOI: https://doi.org/10.1007/978-981-33-4501-0_7
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