Data Visualization: Detailed Study Of Tools And Its Applications

Background and Research Problem – Presentation is one of the best ways to influence other parties. For example, company is presenting the progress of performance in the form of a table or verbal data presentation; it is significant to show data by using a graphical method or other creative dashboard to have a positive impact on stockholders. Data Visualization (DV) changes crude information into numerical and pictorial dimensions that recount a story. In today’s era, several software packages are available in the market for data presentation and visualization. Every company should try to incorporate these software’s into their operation to increase efficiency but on the other hand, It is also necessary to know about these softwares’ pros and cons and use their benefits according to the company’s requirements.   Objective – To explore the Concept of DV. To know how DV is useful in the different areas of working. Identify and discuss various DV tools for the organisation.   Data Collection and Research Method – Secondary Data and fundamental research were used for the research purpose. Finding and Conclusion – Having a set of data is not sufficient for decision-making purposes. It is necessary to know the story behind data and what it says. The powerful DV platform enables business firms to present their data with actionable insights drive, valuable decision-making and improve all working performance. It becomes necessary for business firms or managers to be familiar with this software to be effective in current market trends.

Authors

Publication Details

Journal
Revista Electronica de Veterinaria
Published
2024-09-13
DOI
https://doi.org/10.69980/redvet.v25i1.875
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Visualization: Detailed Study Of Tools And Its Applications

Himanshu Mathur
Revista Electronica de Veterinaria
Data Visualization and Analytics
article

Data Visualization: Detailed Study Of Tools And Its Applications

Himanshu Mathur
article en

Abstract

Background and Research Problem – Presentation is one of the best ways to influence other parties. For example, company is presenting the progress of performance in the form of a table or verbal data presentation; it is significant to show data by using a graphical method or other creative dashboard to have a positive impact on stockholders. Data Visualization (DV) changes crude information into numerical and pictorial dimensions that recount a story. In today’s era, several software packages are available in the market for data presentation and visualization. Every company should try to incorporate these software’s into their operation to increase efficiency but on the other hand, It is also necessary to know about these softwares’ pros and cons and use their benefits according to the company’s requirements.   Objective – To explore the Concept of DV. To know how DV is useful in the different areas of working. Identify and discuss various DV tools for the organisation.   Data Collection and Research Method – Secondary Data and fundamental research were used for the research purpose. Finding and Conclusion – Having a set of data is not sufficient for decision-making purposes. It is necessary to know the story behind data and what it says. The powerful DV platform enables business firms to present their data with actionable insights drive, valuable decision-making and improve all working performance. It becomes necessary for business firms or managers to be familiar with this software to be effective in current market trends.

Revista Electronica de Veterinaria
Openalex Percentile: Top 85%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.