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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Seeing Beyond Numbers: Mastering Data Visualization Interpretation

Authors: T. Aditya Sai Srinivas; M. Bharathi;

Seeing Beyond Numbers: Mastering Data Visualization Interpretation

Abstract

ABSTRACT The proficiency in analyzing and interpreting data visualization graphs constitutes a pivotal competency for an adept Data Scientist/Analyst. To effectively dissect and comprehend any data visualization graph, it is imperative to dedicate sufficient time towards comprehending the constituent elements of each graph. These components serve as conduits for plotting the data and elucidating the narrative latent within the numerical data. Thus, this paper aims to provide a comprehensive exposition elucidating the fundamental components of frequently employed data visualization graphs, alongside delineating strategies for their interpretation predicated on a nuanced understanding of said components. Through systematic exploration of these components, readers will be equipped with the requisite acumen to navigate and derive meaningful insights from a myriad of data visualization graphs encountered in diverse analytical contexts.

Keywords

Data Scientist, Analyst, analyze, interpret, data visualization graphs, components, plot.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average