## 9 Results and Experiments
### Comparison with Other Works  
Several options, such as open-source software, provide data anonymization. SdcMicro, Anonymizer, and ARX are among the most popular ones, so far as we are concerned. SdcMicro attempts to protect data from illegal access by focusing on data anonymization, which can then be utilized to create anonymized (micro) data or documents for general and research usage. It provides several risk evaluation methods and uses interconnected statistics to analyze the loss of data and its impact on constant variables. The SdcMicro package presents anonymization algorithms and expansive risk and productivity evaluations. It additionally provides tools for calculating, evaluating, and displaying risk and utility at different stages of the anonymization process. Still, SdcMicro lacks user-friendly interfaces, making it challenging for non-experts to use well. Its poor flexibility and scalability could become restrictive barriers for applications on a large scale [32].  
Anonymizer is an additional anonymization tool which enables users to rapidly anonymize data, especially personally identifiable information (PII), using \"convenience functions\" or a combination of salting and hashing. While it presents an easy method for anonymization, it fails to offer complex encryption or risk evaluation methods. It was created for fast and simple anonymization tasks but fell down poorly when handling more data or being required to offer thorough analyses and reporting [27].  
ARX aims for both versatility and accessibility in data anonymization. It enables several anonymization methods, quality of data analysis methods, and re-identification methods for reducing risks. Also, ARX utilizes standard anonymization methods like differential privacy, l-diversity, t-closeness, and k-anonymity. ARX offers reasonable speed and flexibility, so it fits various tasks. Still, its complex interface is an issue for people with no technical expertise, and it can demand considerable effort to install and use it effectively [26]. Table 7 mentions the comparison of those characteristics concerning the given aspect with while indicates the characteristic with its absence. As an example, ShinyAnonymizer-enhanced version and Anonymizer support \"Data Encryption\" and \"Hashing\", but SdcMicro and ARX do not. Similarly, in terms of \"User Interface\" being user-friendly or complex other features such as flexibility, scalability, performance is rated accordingly.  
Figure 8: Descriptive statistics of patients.  
The enhanced ShinyAnonymizer shines thanks to its complex functions, such as data anonymization, encryption, and hashing, in addition to its user-friendly interface and conformity to privacy laws. With SdcMicro, ShinyAnonymizer is very scalable and adaptable, making it suitable for an extensive range of uses, from a smaller-scale examination to massive healthcare analytics. Its simple User Interface enables those without technical expertise to discover and utilize its features, an enormous advantage over ARX's complex setup. ShinyAnonymizer's powerful encryption methods guarantee that data remain protected during the anonymization procedure, a critical need that Anonymizer fails to meet. This tool additionally exceeds their speed, successfully managing big datasets while preserving a high precision. ShinyAnonymizer helps individuals understand and analyze data via extensive data analysis charts and visualization options, resulting in more reliable choices and discoveries. The ShinyAnonymizer Enhanced Version generally distinguishes itself from its rivals by integrating powerful anonymization algorithms, encryption, user-friendly interfaces, and speed and flexibility. This makes it an excellent choice for businesses that seek a comprehensive and productive solution for dealing with sensitive data while conforming to privacy requirements.