An Exploratory Data Analysis for Loan Prediction Based on Nature of the Clients
X. Francis Jency1, V.P. Sumathi2, Janani Shiva Sri3
1Ms. X. Francis Jency, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Ms. V.P. Sumathi, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3Janani Shiva Sri, Department of CS, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 12 December 2018 | Revised Manuscript received on 23 December 2018 | Manuscript Published on 09 January 2019 | PP: 176-179 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2026017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In India, the number of people applying for the loans gets increased for various reasons in recent years. The bank employees are not able to analyse or predict whether the customer can payback the amount or not (good customer or bad customer) for the given interest rate. The aim of this paper is to find the nature of the client applying for the personal loan. An exploratory data analysis technique is used to deal with this problem. The result of the analysis shows that short term loans are preferred by majority of the clients and the clients majorly apply loans for debt consolidation. The results are shown in graphs that helps the bankers to understand the client’s behaviour.
Keywords: Loan Analysis, Exploratory Data Analysis Technique, Client’s Analysis, Financial Categories Analysis.
Scope of the Article: Data Analytics