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Research on interactive analysis report in data analysis and visualization platform

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Abstract

In order to solve the problem that the traditional data analysis visualization tools cannot fully express the potential information behind the quality data. Firstly, the text generation technology based on template is proposed to add text description to visual chart, which combines text and visual chart to help users enrich visual representation and discover data rules; Secondly, a new method of combining text and visualization is proposed to generate interactive data analysis report, which helps users to explore data visualization through the interaction between text and visualization chart, and embeds sparkline into text to reduce frequent switching between them; Finally, taking the manufacturing quality inspection of an enterprise as an example, the application of the above technology is verified. The results show that the text and visualization enrich each other, enhance the visualization effect, and the interactive analysis report realizes the user’s visual exploration of data.

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References

  1. Ayres P, Sweller J (2005) The split-attention principle in multimedia learning. The Cambridge handbook of multimedia learning, pp. 135–146

  2. Bansal M, Kumar M, Kumar M (2021) 2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors. Multimed Tools Appl 80:18839–18857

    Article  Google Scholar 

  3. Beck F, Weiskopf D (2017) Word-sized graphics for scientific texts. IEEE Trans Vis Comput Graph 23(6):1576–1587

    Article  Google Scholar 

  4. Beck F, Siddiqui HA, Bergel A et al (2017) Method execution reports: generating text and visualization to describe program behavior[C]. In: 2017 IEEE Working Conference on Software Visualization (VISSOFT). IEEE

  5. Chen L, Zhou H (2017) Research and application of dynamic and interactive data visualization based on D3[C]. In: 2016 International Conference on Audio, Language and Image Processing (ICALIP). IEEE

  6. Gatt A, Krahmer E (2018) Survey of the state of the art in natural language generation: Core tasks applications and evaluation [J]. J Artif Intell Res 61:65–170

    Article  MathSciNet  MATH  Google Scholar 

  7. Goffin P, Willett W, Fekete J et al (2014) Exploring the placement and design of word-scale visualizations. IEEE Trans Vis Comput Graph 20(12):2291–2300

    Article  Google Scholar 

  8. Goffin P, Willett W, Fekete JD  et al (2015) Design considerations for enhancing word-scale visualizations with interaction[C]. In: Conference on Information Visualization. IEEE

  9. Gong J, Wen R, Zhang P (2017) An automatic generation method of sports news based on knowledge rules[C]. In: IEEE/ACIS International Conference on Computer & Information Science. IEEE

  10. Gupta S, Mohan N, Kumar M  (2020) A study on source device attribution using still images[J]. Arch Comput Methods Eng:1–15

  11. Kalamaras I et al (2018) An interactive visual analytics platform for smart intelligent transportation systems management. IEEE Trans Intell Transp Syst 19(2):487–496

    Article  Google Scholar 

  12. Kong N, Hearst MA, Agrawala M (2014) Extracting references between text and charts via crowdsourcing[M]. ACM

  13. Koytek P, Perin C, Vermeulen J, Andre E, Carpendale S (2017) MyBrush: brushing and linking with personal agency. IEEE Trans Vis Comput Graph 24:605–615

    Article  Google Scholar 

  14. Kwon B, Stoffel F, Jäckle D et al (2014) Visjockey: Enriching data stories through orchestrated interactive visualization. Poster Compend Comput J Symp 3:3

    Google Scholar 

  15. Latif S, Beck F (2018) Visually augmenting documents with data. Comput Sci Eng 20(6):96–103

    Article  Google Scholar 

  16. Latif S, Beck F (2019) VIS author profiles: interactive descriptions of publication records combining text and visualization. IEEE Trans Vis Comput Graph 25(1):152–161

    Article  Google Scholar 

  17. Li X, Guo S, Du B (2016) Design and implementation of digital intelligent manufacturing and management platform for textile machinery manufacturing enterprises. Comput Integr Manuf Syst 22(3):672–685

    Google Scholar 

  18. Narang S, Jindal MK, Sharma P (2018) Devanagari ancient character recognition using HOG and DCT features[C]. In: 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)

  19. Schultheiss LA, Heiliger E (1963) Techniques of flow-charting

  20. Srinivasan A, Drucker SM, Endert A, Stasko J (2019) Augmenting visualizations with interactive data facts to facilitate interpretation and communication. IEEE Trans Vis Comput Graph 25(1):672–681

    Article  Google Scholar 

  21. Tufte ER (2006) Beautiful evidence[J]. Beautiful Evidence

  22. Wei L, Huang Y, Zhao Q et al (2019) Big data analysisservice platform building for complex product manufacturing[C]. In: 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE

  23. Zhang J, Gao L, Qin W et al (2016) Big data driven intelligent workshop operation analysis and decision method system. Comput Integr Manuf Syst 22(5):1221–1229

    Google Scholar 

Download references

Acknowledgements

This work was supported by Key Scientific Research Plan project of Shaanxi Provincial Department of Education (No. 22JS021).

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  1. Department of computer application, School of computer science, Xi’an Polytechnic University, Xi’an, People’s Republic of China

    Liang Chen & Mengting Wu

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  1. Liang Chen
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  2. Mengting Wu
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Correspondence to Mengting Wu.

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Chen, L., Wu, M. Research on interactive analysis report in data analysis and visualization platform. Multimed Tools Appl 82, 13765–13778 (2023). https://doi.org/10.1007/s11042-022-13652-y

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