Answer To: 1: Data VisualizationData visualization provides excellent ways to illustrate the data analytics...
Karthi answered on Dec 13 2022
Data Visualization
Data visualization is a powerful tool for illustrating the outcomes of data analytics. It involves
the use of graphical representations, such as charts, graphs, and maps, to visually represent
data and make it easier to understand and analyze. By using data visualization, analysts and
business managers can quickly and easily identify trends, patterns, and relationships in data
that would otherwise be difficult to detect.
One of the key advantages of data visualization is that it allows analysts to present complex
data sets in a way that is easy to understand and interpret. For example, rather than presenting
a large table of numbers, a data visualization can show the same information in the form of a
bar chart, which is much easier to interpret briefly. This can help analysts to quickly identify
important trends and patterns in the data, and to communicate their findings to others in a
clear and concise manner.
Another advantage of data visualization is that it allows analysts to explore and analyze data in
ways that would not be possible with other methods. For example, by using interactive
visualizations, analysts can drill down into the data to explore specific trends and patterns in
more detail, or to compare different data sets side-by-side. This can help analysts to gain a
deeper understanding of the data and to identify insights that might not be apparent from
looking at the raw data alone.
Overall, data visualization is an essential tool for illustrating the outcomes of data analytics and
for helping analysts and business managers to better understand and make decisions based on
the data. By using data visualization, analysts can present complex data sets in a way that is
easy to understand, explore and analyze the data in greater detail, and communicate their
findings to others in a clear and concise manner.
Two of the most applied data visualization concepts in business analysis are data mapping and
data overlaying.
Data mapping is a visualization technique that involves the use of geographic information to
represent data. This technique is particularly useful in business analysis because it allows
analysts to see how certain factors, such as market demand or consumer behavior, vary across
different geographic regions. For example, a business analyst may use data mapping to visualize
how sales of a particular product vary by state or country. This information can then be used to
identify areas where the product is particularly popular, as well as areas where there may be
opportunities for growth.
Data overlaying is another commonly used data visualization concept that involves combining
multiple data sets into a single visualization. This technique is particularly useful in business
analysis because it allows analysts to see how different factors may be related or influence one
another. For example, a business analyst may use data overlaying to visualize the relationship
between sales of a particular product...