Visualisation Of Cancer Data Using Exploratory Data Analysis

Authors

  • 1Uma G1, Ashwini K 2, Joyce Sharline3

Abstract

     Cancer is a disease in which abnormal body’s cells grow uncontrollably and spread to other parts of the body. Human beings and other animals had cancer throughout recorded history. So, it’s no surprise that from the dawn of history people have written about cancer. Some of the earliest evidence of cancer is found among fossilized bone tumors, human mummies in ancient Egypt, and ancient manuscripts. The purpose of the study is to assess the cancer affected cases region wise among the Indian States. Objectives: (a) To Study Cancer cases in India by Year wise. (b) To identify highly affected Cancer cases globally and to identify the Highest Number of Cancer cases in India and Region wise (c) Forecasting the cancer data for the year 2022-2025. Materials & Methods: The type of data is Secondary in Nature through Net Source www.indiastat.com and the data relates to State wise Number of Cancer Cases in India (2009-2020). To explore the data through visualization (EDA) and analyze the Cancer data, Statistical Package for Social Science (SPSS -20) is used. Results: The data of Indian states are segregated region wise such Northern, Southern and so on.  In that, the cancer affected are increasing year by year and in the year 2020 the highest number of cases were found and TamilNadu is the highly affected state with 92.99% whereas in Northern region, Uttar Pradesh with 52.51% . Conclusion: The results of this study suggest that the cancer cases are increasing day by day and hence more awareness programs and campaigns to be initiated especially at the early years of school education as well as higher education institutions, organizations and other sectors.

Keywords: Cancer, EDA,  Correlation, Forecasting, SPSS

Additional Files

Published

01-01-2024

How to Cite

1Uma G1, Ashwini K 2, Joyce Sharline3. (2024). Visualisation Of Cancer Data Using Exploratory Data Analysis. Ldealistic Journal of Advanced Research in Progressive Spectrums (IJARPS) eISSN– 2583-6986, 3(01), 13–22. Retrieved from https://journal.ijarps.org/index.php/IJARPS/article/view/309

Issue

Section

Research Paper