Art of visualization is very crucial for critical thinking.
It plays an important role in statistical analysis. Right statistics can be applied to right data, if scenario generating that data can be visualized correctly. For example while analyzing air pollution data, a discussion with the subject expert helps visualize the scenario. Exploratory data analysis helps to explore this data further and identify underlying trends and patterns. There are various software having graphical functions like rotation and grid, that also help further understand this scenario. Probability of a complex real phenomenon requires visualization of a multidimensional (n) probability space. Probability theory is based on this visualization of n dimensional probability space. Probability is defined as a ratio of total number of elements of two sets, set of favorable cases and set of total cases. In such complex real life random phenomenon, we should visualize the probability of an event as n dimensional volume in n dimensional probability space.
It plays an important role in statistical analysis. Right statistics can be applied to right data, if scenario generating that data can be visualized correctly. For example while analyzing air pollution data, a discussion with the subject expert helps visualize the scenario. Exploratory data analysis helps to explore this data further and identify underlying trends and patterns. There are various software having graphical functions like rotation and grid, that also help further understand this scenario. Probability of a complex real phenomenon requires visualization of a multidimensional (n) probability space. Probability theory is based on this visualization of n dimensional probability space. Probability is defined as a ratio of total number of elements of two sets, set of favorable cases and set of total cases. In such complex real life random phenomenon, we should visualize the probability of an event as n dimensional volume in n dimensional probability space.
Mental visualization of data collection process backed by a
good theory helps in the generation of good quality data. Thus development of
computer aided visualization skills build strong intra-disciplinary and
interdisciplinary bridges.
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