Abstract
Data visualization is the graphical display of the selected data or abstract information for several purposes: effective data exploration, called data analysis and communication. A two dimensional data table expresses numerical values precisely and it provides an efficient means to look up values for a particular dimension. When these numbers are presented as text in a table, our brains interpret them through the use of verbal processing and may fail looking for patterns, trends, or exceptions among these values. The paper tries to emphasize: advantages, lacks, limits, actualities, and potential trends in this field. Most of the figures are the result of practical tests, except the last one which is a theoretical abstraction. The information contained in numerical values becomes visible and understandable when communicated visually. The strengths of data visualization come from our ability to process visual information much more rapidly than verbal information. Good data visualization techniques and technologies translate abstract information into visual representations that can be easily, efficiently, accurately, and meaningfully decoded. Data visualization and discovery can help reduce the time users lose when they have difficulty accessing, reporting, and analyzing data. Data visualization and discovery can help reduce the time users lose when they have difficulty accessing, reporting, and analyzing data. Visualization affects how data is provisioned for users and the value they gain from it. Because users examine snapshots to identify changes in data over time, they must be n provisioned and presented consistently.
Keywords
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