• Tanvi Koyande

In the modern world, the ability to interpret and understand data is becoming ever more essential. Datasets with many variables or features included in each observation or sample point are referred to as multivariate data. Multivariate data visualization's primary goal is to show the relationship between two or more variables. The scatterplot, boxplot violin plot, bubble chart, heat map, and correlation matrix are the most basic methods for multivariate data visualization. Several different visualization methods for multivariate data are covered in this article.

Scatterplot, Boxplot, Violin plot, Bubble chart, Heat Map, Correlation matrix

"Multivariate Data Visualization Techniques using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.g10-g13, June-2024, Available :http://www.jetir.org/papers/JETIR2406602.pdf

"Multivariate Data Visualization Techniques using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppg10-g13, June-2024, Available at : http://www.jetir.org/papers/JETIR2406602.pdf