Abstract
This chapter provides an overview of the relevant content of data visualization, comprehensively introduces its basic knowledge, and common tools to use, and gives a related case for a complete visualization process; this chapter elaborates on the applications of (i) data visualization, (ii) introduction to Python visualization tools, (iii) data distribution chart, and (iv) financial data case analysis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cao, S., Zeng, Y., Yang, S., and Cao, S. (2021). “Research on Python Data Visualization Technology.” Journal of Physics: Conference Series, 1757(1), 012122). IOP Publishing.
Marghescu, D. (2007). “Multidimensional Data Visualization Techniques for Financial Performance Data: A Review.” TUCS Technical Report, 810.
Zhang, Y., Hou, S. H. U., Liu, H., Wang, S., and Zhang, X. (2020). “Research on Application of Data Visualization in Finance.” DEStech Transactions on Engineering and Technology Research (acaai).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Zhang, Q.T., Li, B., Xie, D. (2022). Data Visualization. In: Alternative Data and Artificial Intelligence Techniques. Palgrave Studies in Risk and Insurance. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-11612-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-11612-4_14
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-031-11611-7
Online ISBN: 978-3-031-11612-4
eBook Packages: Economics and FinanceEconomics and Finance (R0)