Dergiler / Konuralp Journal of Mathematics / 2024 / Volume: 12 Issue: 2

Displaying Bivariate Data with Developed Cloud Based Data Visualization Tool

Gokcen Altun(ANKARA HACI BAYRAM VELI UNIVERSITY)
Emrah Altun(BARTIN UNIVERSITY)
Sayfa
—
Yayın Tarihi
2024-10-28
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The developed web-tool is available at https://beststat.shinyapps.io/datavis2/.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Data visualization is one of the hot topics of statistics.
📊
Temel Bulgular & Veri:In this study, a cloud-based web application, named DATAVIS2, is developed to draw bivariate graphs.
💡
Sonuç & Katkı:The developed web-tool is available at https://beststat.shinyapps.io/datavis2/.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:bivariate graphs · data visualization · R Shiny

Abstract

Data visualization is one of the hot topics of statistics. Programming languages such as R and Python are needed to create high-quality graphs. However, these programs are quite complex to use and difficult for researchers with no programming background. In this study, a cloud-based web application, named DATAVIS2, is developed to draw bivariate graphs. The developed application works independently of the operating system and the web browser. The DATAVIS2 web-tool includes fourteen different graphs for quantitative and categorical variables. The developed web-tool is available at https://beststat.shinyapps.io/datavis2/.

🔖

Bu Makaleye Atıf Yap

Altun, G., Altun, E., İslamoğlu, S. (2024). Displaying Bivariate Data with Developed Cloud Based Data Visualization Tool. Konuralp Journal of Mathematics, Volume: 12 Issue: 2. https://ajindex.com/articles/1521494

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (26)

  1. Chang, W. (2021). shinythemes: Themes for Shiny. R package version 1.2.0. https://CRAN.R-project.org/package=shinythemes
  2. Chang, W. and Ribeiro, B.B. (2018). shinydashboard: Create Dashboards with ’Shiny’. R package version 0.7.1. https://CRAN.Rproject. org/package=shinydashboard
  3. Anouncia, S. M., Gohel, H. A. and Vairamuthu, S. (Eds.). (2020). Data Visualization: Trends and Challenges Toward Multidisciplinary Perception. Springer Nature.
  4. Barker, T. and Canning, M. (2013). Pro Data Visualization using R and JavaScript (No. s 207). New York, NY: Apress.
  5. Chang, W., Cheng, J., Allaire, J.J., Sievert, C. Schloerke, B., Xie, Y., Allen, J., McPherson, J., Dipert, A. and Borges, B. (2021). shiny: Web Application Framework for R. R package version 1.6.0. https://CRAN.R-project.org/package=shiny
  6. Chen, D., Fu, L. Y., Hu, D., Klukas, C., Chen, M. and Kaufmann, K. (2018). The HTPmod Shiny application enables modeling and visualization of large-scale biological data. Communications Biology, 1(1), 1-8.
  7. Do, A. L., Boccaletti, S., Epperlein, J., Siegmund, S. and Gross, T. (2016). Topological stability criteria for networking dynamical systems with Hermitian Jacobian. European Journal of Applied Mathematics, 27(6), 888-903.
  8. Clarke, E. and Sherrill-Mix, S. (2017). ggbeeswarm: Categorical Scatter (Violin Point) Plots. R package version 0.6.0. https://CRAN.Rproject. org/package=ggbeeswarm
  9. Dowle, M. and Srinivasan, A. (2021). data.table: Extension of ’data.frame’. R package version 1.14.0. https://CRAN.R-project.org/package=data.table
  10. G¨ursoy, A. (2022). Construction of networks by associating with submanifolds of almost Hermitian manifolds. Fundamental Journal of Mathematics and Applications, 5(1), 21-31.
  11. Hoser, B. and Geyer-Schulz, A. (2005). Eigenspectral analysis of hermitian adjacency matrices for the analysis of group substructures. Journal of Mathematical Sociology, 29(4), 265-294.
  12. Kayaturan, G. C. (2022). Error Elimination From Bloom Filters in Computer Networks Represented by Graphs. Fundamental Journal of Mathematics and Applications, 5(4), 240-244.
  13. Mullan, K. A., Bramberger, L. M., Munday, P. R., Goncalves, G., Revote, J., Mifsud, N. A.,. and Li, C. (2021). ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets. Computational and Structural Biotechnology Journal, 19, 5735-5740.
  14. Post, F. H., Nielson, G. and Bonneau, G. P. (Eds.). (2002). Data visualization: The state of the art.
  15. Postma, M. and Goedhart, J. (2019). PlotsOfData-A web app for visualizing data together with their summaries. PLoS Biology, 17(3), e3000202.
  16. Reyes, A. L. P., Silva, T. C., Coetzee, S. G., Plummer, J. T., Davis, B. D., Chen, S.,. and Jones, M. R. (2019). GENAVi: a shiny web application for gene expression normalization, analysis and visualization. BMC genomics, 20(1), 1-9.
  17. Tebe, C., Valls, J., Satorra, P. and Tobias, A. (2020). COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic. BMC Medical Research Methodology, 20(1), 1-7.
  18. Verity, R., Collins, C., Card, D. C., Schaal, S. M., Wang, L. and Lotterhos, K. E. (2017). minotaur: A platform for the analysis and visualization of multivariate results from genome scans with R Shiny. Molecular ecology resources, 17(1), 33-43.
  19. Wickham, H. and Seidel, D. (2020). scales: Scale Functions for Visualization. R package version 1.1.1. https://CRAN.R-project.org/package=scales
  20. Wickham, H. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016
  21. Wickham, H., Francois, R., Henry, L. and Muller, K. (2021). dplyr: A Grammar of Data Manipulation. R package version 1.0.7. https://CRAN.Rproject. org/package=dplyr
  22. Wilke, C.O. (2021). ggridges: Ridgeline Plots in ’ggplot2’. R package version 0.5.3. https://CRAN.R-project.org/package=ggridges
  23. Wilkins, D. (2021). treemapify: Draw Treemaps in ’ggplot2’. R package version 2.5.5. https://CRAN.R-project.org/package=treemapify
  24. Yu, Y., Ouyang, Y. and Yao, W. (2018). shinyCircos: an R/Shiny application for interactive creation of Circos plot. Bioinformatics, 34(7), 1229-1231.
  25. Mullan, K. A., Bramberger, L. M., Munday, P. R., Goncalves, G., Revote, J., Mifsud, N. A.,. and Li, C. (2021). ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets. Computational and Structural Biotechnology Journal, 19, 5735-5740.
  26. Reyes, A. L. P., Silva, T. C., Coetzee, S. G., Plummer, J. T., Davis, B. D., Chen, S.,. and Jones, M. R. (2019). GENAVi: a shiny web application for gene expression normalization, analysis and visualization. BMC genomics, 20(1), 1-9.