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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 9, Issue 2, Part E (2023)

Some studies on principal component analysis, factor analysis and cluster analysis on a clubbed data

Some studies on principal component analysis, factor analysis and cluster analysis on a clubbed data

Author(s)
Joseph Justin Rebello, Shafna Noushad and Surya K S
Abstract
The objective of the study is to apply data reduction techniques PCA and FA on the Healthy Lifestyle Cities Report 2021 and also to cluster the same data using cluster Analysis. The data analysed 44 cities across the globe to uncover where it is easier to lead a well-rounded, healthy lifestyle. From obesity levels to pollution rates, each city has been scored across 6 healthy living metrics. Each of these metrics were awarded a weighted score and these were combined to give each city a total sore out of 100. This score was then used to rank the 33 cities to determine which were best for healthy living. For the analysis of the data, statistical packages “SPSS” and “R” are being applied.
Pages: 323-334  |  471 Views  66 Downloads
How to cite this article:
Joseph Justin Rebello, Shafna Noushad, Surya K S. Some studies on principal component analysis, factor analysis and cluster analysis on a clubbed data. Int J Appl Res 2023;9(2):323-334. DOI: 10.22271/allresearch.2023.v9.i2e.10635
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