Exploratory Data Analysis and Visualization for Business Analytics

Author:

Deming Chunhua,Dekkati Sreekanth,Desamsetti Harshith

Abstract

The advantages of doing exploratory data analysis have been discussed in this article. We have gone through the typical data preprocessing procedures to understand the data and prepare it for modeling. In this research, we intend to become familiar with the most extensively utilized predictive modeling techniques and the fundamental principles underlying these techniques. Developing statistical or machine-learning models to generate predictions based on data is an example of predictive modeling, which is creating these models. We will use one typical example to make our research more tangible and demonstrate how the performance of various models varies when applied to the same data set. Exploratory data analysis will be covered in depth here, so prepare for that! In the following, we will discuss comprehending and validating the data.

Publisher

ABC Journals

Subject

Media Technology

Reference13 articles.

1. Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. Retrieved from https://upright.pub/index.php/tmr/article/view/78

2. Desamsetti, H. (2016). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.

3. Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661

4. Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651

5. Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Transforming Talent Management: The Journey to E-Human Resources Excellence;Asian Business Review;2023-08-31

2. Digitization History and its Impact on the Economy, Employment, and Society;Global Disclosure of Economics and Business;2023-06-30

3. Digitization History and its Impact on the Economy, Employment, and Society;Global Disclosure of Economics and Business;2023-06-30

4. Utilizing Deep Learning to Identify Potentially Dangerous Routing Attacks in the IoT;ABC Journal of Advanced Research;2022-12-31

5. Revolutionizing Commerce: The Dynamics and Future of E-Commerce Web Applications;Asian Journal of Applied Science and Engineering;2022-10-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3