Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)

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Understanding the Correlation of Parkinson’s dataset with Multivariate Analysis Packages

Authors
A. Rajha Priya1, 2, *, Preenon Bagchi2, 3
1Padmashree Institute of Management and Sciences, Bengaluru, India
2Vasishth Academy of Advanced Studies and Research (Sarvasumana Association), Bengaluru, India
3Institute of Biosciences and Technology, MGM University, Aurangabad, India
*Corresponding author. Email: rajhapriya24@gmail.com
Corresponding Author
A. Rajha Priya
Available Online 17 November 2023.
DOI
10.2991/978-94-6463-294-1_2How to use a DOI?
Keywords
Parkinson’s disease; multivariate analysis; interpretation; graph; inferential statistics; comparative data analysis
Abstract

Parkinson’s dataset available in open source was used in this work. Inferential statistical analysis is used here to inspect each unit from this dataset and to test a hypothesis depending on the sample data. From the analysis inferences could be extracted by applying probability and make generalizations about the whole data. This method can also be used in experimental and quasi-experimental research design or in program outcome evaluation. During the analysis, the whole population of the sample data was considered while making deductions. Specifically, multivariate analysis was used which involves more than two dependent variables, this method helps in reduction and simplification of data without losing its details. Packages like ggplot2, psych, corrgram, performance analysis, ggcorrplot, ggpubr and RColorBrewer Packages were used for interpreting the data.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
Series
Advances in Health Sciences Research
Publication Date
17 November 2023
ISBN
10.2991/978-94-6463-294-1_2
ISSN
2468-5739
DOI
10.2991/978-94-6463-294-1_2How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Rajha Priya
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/11/17
TI  - Understanding the Correlation of Parkinson’s dataset with Multivariate Analysis Packages
BT  - Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
PB  - Atlantis Press
SP  - 7
EP  - 20
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-294-1_2
DO  - 10.2991/978-94-6463-294-1_2
ID  - Priya2023
ER  -