Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary


Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

A Comprehensive Review of Data Visualization Tools: Features, Strengths, and Weaknesses

Addepalli Lavanya, Sakinam Sindhuja, Lokhande Gaurav, Waqas Ali ,
Affiliations
Universidad Politécnica De Valencia, Valencia, Spain
:10.22362/ijcert/2023/v10/i01/v10i0102


Abstract
Data visualization tools have revolutionized processing, analysing, and communicating data. With the increasing amount of data available, it has become increasingly important to present data in an easily understandable and visually appealing way. As such, data visualization tools have become essential to data analysis and decisionmaking processes in various fields, including business, healthcare, social sciences, and engineering. This review paper aims to provide an overview of the various data visualization tools available and their features, strengths, and weaknesses. We begin by introducing the concept of data visualization and its importance in the data analysis process. We then provide a brief history of data visualization, highlighting its evolution over time from static charts to interactive and dynamic visualizations. We then discuss the available data visualization tools, including bar charts, line graphs, scatter plots, heat maps, tree maps, and network diagrams. For each type of visualization, we provide examples of when and how they can be used to present and analyse data effectively. Next, we examine the features and functionalities of popular data visualization tools, such as Tableau, Power BI, Google Data Studio, D3.js, and Python libraries like Matplotlib, Seaborn, and Plotly. We discuss the strengths and weaknesses of each tool and provide examples of realworld applications. In addition, we highlight the importance of choosing the right visualization tool based on the data type, audience, and purpose. We also discuss best practices for creating effective data visualizations, such as choosing the right colour scheme, designing for accessibility, and avoiding common pitfalls. Finally, we discuss future trends and developments in data visualization, such as using augmented and virtual reality for data visualization and incorporating machine learning and artificial intelligence in data visualization tools. In conclusion, data visualization tools have become an essential part of the data analysis process. This review paper overviews the available data visualization tools and their features, strengths, and weaknesses. By understanding the strengths and limitations of different visualization tools, researchers and analysts can effectively present and analyse data, leading to better decision-making and insights.


Citation
Addepalli Lavanya ,Sakinam Sindhuja,Lokhande Gaurav,Waqas Ali."A Comprehensive Review of Data Visualization Tools: Features, Strengths, and Weaknesses". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.10, Issue 01,pp.10-20, January- 2023, URL :https://ijcert.org/ems/ijcert_papers/V10I0102.pdf,


Keywords : Data Analysis; Data Visualization; Information design; Visualization tools; Types of visualizations

References
[1] 	K. Kalluri, 2022. [Online]. Available: https://splashbi.com/importance-purpose-benefit-of-data-visualization-tools/. [Accessed 1 Dec 2023].
[2] 	GeeksforGeeks, 2021. [Online]. Available: https://www.geeksforgeeks.org/what-is-data-visualization-and-why-is-it-important/. [Accessed 15 Dec 2022].
[3] 	Tableau, 2021. [Online]. Available: https://www.tableau.com/learn/articles/data-visualization. [Accessed 1 Dec 2022].
[4] 	E. Amadebai, 2021. [Online]. Available: https://www.analyticsfordecisions.com/data-visualization-is-important/. [Accessed 12 Dec 2022].
[5] 	Microsoft Power BI, 2021. [Online]. Available: https://powerbi.microsoft.com/en-us/data-visualization/. [Accessed 11 Dec 2022].
[6] 	Chartio, "The evolution of data visualization," 19 Oct 2020. [Online]. Available: https://chartio.com/blog/the-evolution-of-data-visualization/. [Accessed 3 Dec 2022].
[7] 	R. Farnworth, "A short history of data visualisation," Medium, 24 Aug 2020. [Online]. Available: https://towardsdatascience.com/a-short-history-of-data-visualisation-de2f81ed0b23. [Accessed 3 Dec 2022].
[8] 	Tableau-1, "The history of data visualizations - From cave drawings to tableau," 1 April 2020. [Online]. Available: https://www.tableau.com/whitepapers/designing-great-visualizations. [Accessed 4 Dec 2022].
[9] 	Data.org, "Introduction to data visualization," data.org, 22 Dec 2022. [Online]. Available: https://data.org/resources/introduction-to-data-visualization/. [Accessed 22 Dec 2022].
[10] 	M. Sharapa, "Data visualization: Principles, tools, and useful tricks," Medium, 10 July 2020. [Online]. Available: https://towardsdatascience.com/data-visualization-principles-tools-and-useful-tricks-b68d9c138a86. [Accessed 20 Dec 2022].
[11] 	K. Haan, "The best data visualization tools of 2023," Forbes Advisor, 10 Jan 2023. [Online]. Available: https://www.forbes.com/advisor/business/software/best-data-visualization-tools/. [Accessed 20 Jan 2023].
[12] 	S. Batt, O. R. Harmon and P. Tomolonis, "Learning tableau: A data visualization tool," SSRN Electronic Journal, 2019. 
[13] 	P. M. Joshi and P. N. Mahalle, "Visualization with tableau," Data Storytelling and Visualization with Tableau, pp. 49-74, 2022. 
[14] 	S. Batt, T. Grealis, O. Harmon and P. Tomolonis, "Learning tableau: A data visualization tool," The Journal of Economic Education, Vols. 51(3-4), pp. 317-328, 2020. 
[15] 	M. Y. Khalid, P. H. Then and V. Raman, "Exploratory study for data visualization in Internet of things," IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018. 
[16] 	Y. Hasija and R. Chakraborty, "Python for data visualization," Hands-On Data Science for Biologists Using Python, pp. 91-122, 2021. 
[17] 	AbsentData, "Advantages and disadvantages of tableau," AbsentData, 6 Oct 2022. [Online]. Available: https://absentdata.com/advantages-and-disadvantages-of-tableau/. [Accessed 23 Dec 2023].
[18] 	KnowledgeHut, "What are the 8 amazing benefits of using tableau for your projects?," KnowledgeHut: Professional Bootcamps and Certification Courses Provider for your Future, 1 Oct 2020. [Online]. Available: https://www.knowledgehut.com/blog/business-intelligence-and-visualization/tableau-advantages. [Accessed 23 Dec 2023].
[19] 	H2kinfosys Blog, "What are the advantages and disadvantages of using tableau?," H2kinfosys Blog, 12 April 2021. [Online]. Available: https://www.h2kinfosys.com/blog/what-are-the-advantages-and-disadvantages-of-using-tableau/. [Accessed 20 Dec 2023].
[20] 	SaM Solutions, "Pros and cons of tableau software for data visualization," SaM Solutions, 16 Sept 2021. [Online]. Available: https://www.sam-solutions.com/blog/tableau-software-review-pros-and-cons-of-a-bi-solution-for-data-visualization/. [Accessed 23 Dec 2022].
[21] 	Mihart, "What is power BI? Microsoft Learn: Build skills that open doors in your career," microsoft.com, 3 Oct 2020. [Online]. Available: https://learn.microsoft.com/en-us/power-bi/fundamentals/power-bi-overview. [Accessed 20 Dec 2022].
[22] 	Davidiseminger, "Tips and tricks for creating reports in power BI - Power BI," Microsoft Learn: Build skills that open doors in your career, 3 Sept 2020. [Online]. Available: https://learn.microsoft.com/en-us/power-bi/create-reports/desktop-tips-and-tricks-for-creating-reports. [Accessed 30 Dec 2022].
[23] 	Microsoft Power BI Community, "Writing notes in power BI," Microsoft Power BI Community, 4 Sept 2020. [Online]. Available: https://community.powerbi.com/t5/Desktop/Writing-Notes-in-Power-BI/m-p/683432. [Accessed 22 Dec 2022].
[24] 	Anushkakhatri , "An end-to-end introduction guide on power BI," Analytics Vidhya, 4 May 2022. [Online]. Available: https://www.analyticsvidhya.com/blog/2022/04/an-end-to-end-introduction-guide-on-power-bi/. [Accessed 23 Dec 2022].
[25] 	R. Rad, "Document a power BI file and report in a few clicks: All DAX code, visualization, power query scripts," RADACAD, 30 May 2021. [Online]. Available: https://radacad.com/document-a-power-bi-file-and-report-in-a-few-clicks-all-dax-code-visualization-power-query-scripts. [Accessed 3 Dec 2022].
[26] 	47billion , "A step by step guide to data visualization with power BI," 47billion.com, 23 Dec 2021. [Online]. Available: https://47billion.com/blog/a-step-by-step-guide-to-data-visualization-with-power-bi/. [Accessed 23 Dec 2022].
[27] 	TrustRadius, "Microsoft power BI reviews & ratings," TrustRadius, 2023. [Online]. Available: https://www.trustradius.com/products/microsoft-power-bi/reviews.
[28] 	Google® Data Studio, "Cooking with Google data studio," Hands On With Google® Data Studio, pp. 15-56, 2020. 
[29] 	G. Kemp and G. White, "Starting your data studio journey," Google Data Studio for Beginners, pp. 1-13, 2020. 
[30] 	Google Data Studio, "Viewing local organization data from Google my business," Hands On With Google® Data Studio, pp. 173-219, 2020. 
[31] 	N. Q. Zhu, Data visualization with D3. js cookbook, Packt Publishing Ltd, 2013. 
[32] 	E. Meeks, D3. js in Action: Data visualization with JavaScript, Simon and Schuster, 2017. 
[33] 	M. Iglesias and M. Iglesias, "Introduction to Data Visualizations with D3. js. Pro D3. js: Use D3. js to Create Maintainable, Modular, and Testable Charts," pp. 1-12, 2019. 
[34] 	Y. R. Zeng, Y. S. Chang and Y. H. Fang, "Data visualization for air quality analysis on bigdata platform," IEEE 2019 International Conference on System Science and Engineering (ICSSE), pp. 313-317, 2019. 
[35] 	E. Bisong, "Matplotlib and seaborn. Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners," pp. 151-165, 2019. 
[36] 	A. Pajankar, "Data visualization with NumPy and Matplotlib," Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python, pp. 57-79, 2021. 
[37] 	P. Lemenkova, "Python libraries matplotlib, seaborn and pandas for visualization geo-spatial datasets generated by QGIS," Analele stiintifice ale Universitatii" Alexandru Ioan Cuza" din Iasi-seria Geografie, vol. 64, no. 1, pp. 13-32, 2020. 
[38] 	N. P. Rougier, "Scientific Visualization: Python+ Matplotlib," 2021. 
[39] 	A. H. Sial, S. Y. Rashdi and A. H. Khan, "Comparative analysis of data visualization libraries Matplotlib and Seaborn in Python," International Journal, vol. 10, no. 1, 2021. 
[40] 	M. L. Waskom, "Seaborn: statistical data visualization," Journal of Open Source Software, vol. 6, no. 60, p. 3021, 2021. 
[41] 	M. Waskom, "seaborn: statistical data visualization. Python 2.7 and 3.5," Open Source Software, 2020. 
[42] 	I. Stan?in and A. Jovi?, "An overview and comparison of free Python libraries for data mining and big data analysis," 2019 42nd International convention on information and communication technology, electronics and microelectronics (MIPRO), 2019. 
[43] 	Nik , "Seaborn in Python for data visualization," datagy, 20 Feb 2022. [Online]. Available: https://datagy.io/python-seaborn/. [Accessed 20 Dec 2022].
[44] 	M. Sharma, "Data visualization using Seaborn," Medium, 3 Nov 2018. [Online]. Available: https://towardsdatascience.com/data-visualization-using-seaborn-fc24db95a850. [Accessed 30 Dec 2022].
[45] 	C. Sievert, Interactive web-based data visualization with R, plotly, and shiny, CRC Press, 2020. 
[46] 	J. Van Der Donckt and E. Deprost, "Plotly-resampler: Effective visual analytics for large time series," 2022 IEEE Visualization and Visual Analytics (VIS), pp. 21-25, 2022. 
[47] 	L. Afremov, Advanced Plotly, 2022. 
[48] 	L. Podo and P. Velardi, "Plotly. plus, an Improved Dataset for Visualization Recommendation," 31st ACM International Conference on Information & Knowledge Management, pp. 4384-4388, 2022. 
[49] 	O. Troyansky, T. Gibson and C. Leichtweis, QlikView your business: an expert guide to business discovery with QlikView and Qlik Sense, John Wiley & Sons, 2015. 
[50] 	A. Shukla and S. Dhir, "Tools for data visualization in business intelligence: case study using the tool Qlikview," Information Systems Design and Intelligent Applications: Proceedings of Third International Conference INDIA 2016, vol. 2, p. 3, 2016. 
[51] 	M. García and B. Harmsen, Qlikview 11 for developers, Packt Publishing Ltd., 2012. 
[52] 	S. Redmond, Mastering QlikView, Packt Publishing Ltd., 2014. 
[53] 	P. Chate, M. A. Karad and U. Patkar, "Big Data Visualization: Challenges and SAS Visual Analytics," International Journal of Computer Science and Mobile Computing, vol. 4, no. 12, pp. 44-48, 2015. 
[54] 	W. Majaliwa, "Discovering Patterns in Textual Data Using SAS Visual Analytic," International Journal of Information Technology and Computer Science Applications, vol. 1, no. 1, pp. 44-50, 2023. 
[55] 	M. Anandarajan, C. Hill and T. Nolan, "SAS Visual Text Analytics.," Practical Text Analytics: Maximizing the Value of Text Data, pp. 263-282, 2019. 
[56] 	I. K. Fu, M. Chaves, A. Fagan and J. Hazen, "Bringing Google Analytics, Facebook, and Twitter Data to SAS® Visual Analytics," Proceedings of SAS Conference: SAS Global Forum, pp. 1-12, 2016. 
[57] 	R. Styll, "Fast dashboards anywhere with SAS® visual analytics," Proceedings of SAS Global Forum, 2013. 
[58] 	A. S. Bluck, "IBM Cognos Analytics Custom Development," IBM Software Systems Integration: With IBM MQ Series for JMS, IBM FileNet Case Manager, and IBM Business Automation Workflow, Berkeley, CA: Apress, pp. 903-990, 2023. 
[59] 	M. Babiak, Introduction to IBM Cognos Business Intelligence (BI), 2014. 
[60] 	D. Adkison, IBM Cognos business intelligence, Packt Publishing Ltd., 2013. 
[61] 	J. Richardson, R. Sallam, K. Schlegel and A. Kronz, "Magic quadrant for analytics and business intelligence platforms," Gartner ID G00386610, 2020. 
[62] 	K. Haan, "The best data visualization tools of 2023," Forbes Advisor, 10 Jan 2023. [Online]. Available: https://www.forbes.com/advisor/business/software/best-data-visualization-tools/. [Accessed 20 Jan 2023].
[63] 	M. Luenendonk, "23 best data visualization tools of 2022 (with examples).," FounderJar, 3 Aug 2022. [Online]. Available: https://www.founderjar.com/best-data-visualization-tools/. [Accessed 3 Dec 2022].
[64] 	TechRadar, "Best data visualization tools of 2023," TechRadar, 7 Dec 2022. [Online]. Available: https://www.techradar.com/best/best-data-visualization-tools. [Accessed 20 Dec 2022].


DOI Link : https://doi.org/10.22362/ijcert/2023/v10/i01/v10i0102

Download :
  V10I0102.pdf


Refbacks : Currently there are no Refbacks

Announcements


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events


Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.


Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.


IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert


IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)


Emerging Sources Citation Index (in process)


IJCERT title is under evaluation by Scopus.


Key Dates


☞   INVITING SUBMISSIONS FOR THE NEXT ISSUE :
☞   LAST DATE OF SUBMISSION : 31st March 2023
☞  SUBMISSION TO FIRST DECISION :
In 7 Days
☞  FINAL DECISION :
IN 3 WEEKS FROM THE DAY OF SUBMISSION

Important Announcements


All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index


Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)


Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links



Conference Proposal




DOI:10.22362/ijcert