During this semester, we examined several areas of governance and ways in which governance models are applied and regulated by governments and industry Getting closer to your dissertation, you will need to choose a topic in your first dissertation class, DSRT-736, so it is essential to start preparing. This week, let us take a look at some topics to consider, and by the end of the week, we could have several ideas for dissertation topics Since you have already examined several research articles, another way would be to examine previous dissertations in these areas. Visit the University of Cumberland’s library, go to the Dissertation Database, and locate an interesting topic on governance models, frameworks, regulations, etc. Here are some pointers that will help critically evaluate some viable topics. Is the topic attainable for a first-time dissertation student? • Is the problem rooted in the literature? • Is the research empirical, i.e., is there a survey, is there an interview guide, has the data been analyzed via some statistical tool? • Is there a theoretical model or framework discussed? Discuss the topic, the problem the model has been used in the research, and any present findings. Do not read the entire dissertation, as the abstract and chapter one introduction should give a clear understanding of the research.                  

Answer the below question with 300 words and two replies with 150 words each on each topic. You should have a total of 3 posts. When thinking about data visualization, it is important to understand regular expressions in data analytics.  Therefore, note the importance of data visualizations and choose two types of expressions (* - wildcards for example) and discuss the difference between the two types of expressions. 1st post: Data visualization involves the representation of data in graphics. It ensures that data is perceived in graphs, charts, and maps, enabling proper comprehension of outliers, trends, and data patterns. Data visualization enables large amounts of data to be analyzed, ensuring good decisions are made. Human beings are attracted to visual representations; they differentiate shapes and colors appropriately and quickly identify outliers and various trends in charts. Data visualization aims at making data more comprehendible, benefiting various sectors of the economy like sports, healthcare, finance, manufacturing industries, and businesses (Kirk, 2016). Data visualization enables professionals to make accurate decisions and use visual representations to tell stories about any given data. Data visualization enables us to gain insights from that data and understand the meanings. It is crucial to data analysis, ensuring that not even a single insight or message is lost and detects any data changes with time. It determines the correlation between independent variables, determines the frequency of events, and enables marketing experts to examine networks to locate their customers appropriately. Creating schedules in the Gantt chart, especially when the timelines of events are fixed and determining possible metrics and risks using a color-coding formula, is made possible by data visualization (Kirk, 2016). Expressions are used in data analytics to process data into visual forms, which are better understood than plain texts or speech. Various expressions exist and are used differently in data analysis to ensure data is visualized. Examples of these expressions include regular expressions and wildcards (Healy, 2018). These two expressions serve the same purpose in data analytics but are used distinctly because of their differences. Both expressions use metacharacters but differ because wildcards are intuitive and straightforward, while regular expressions are more complex and more powerful. * is a metacharacter representing multiple characters in wildcards, including space, while in regular expressions, * represents a quantifier occurring zero or more times. 2nd post: Information visualization will be the procedure of transforming info collectively directly into visual representation, for example, coming from a graph or maybe chart, within means to create information which happens to be less difficult to understand as well as draw out insights coming from. Information visualization's huge objective is usually to very easily area fashion, patterns, and also anomalies to come down with substantial details sets. By putting information inside a visual atmosphere, information visualization will help us recognize just what it captures. This implies the information far better instinctive to be aware of for your man mind, which makes it a lot easier to discover fashion to come down with huge details sets (Chowdhury et al., 2017). We are able to depict huge quantities of information of a cohesive and comprehensible fashion utilizing graphic representations, that helps us inside grasping the information as well as design conclusions as well as insights. This enables us in order to save some time as well as manage problems. An arithmetic phrase along with a character phrase are actually the 2 types of words and phrases. Just one arithmetic quantity is actually returned when an arithmetic phrase is actually evaluated. A certain example of sort character is actually returned by way of a character depiction. An arithmetic phrase is actually a formulation which produces a numerical consequence. Integers or perhaps floating point and whole numbers are actually the kinds of numeric values. A phrase with character inputs is actually described as being a character depiction. It returns a particular character consequence using a measurement of just one or maybe much more figures