This practice is deeply ingrained in every culture and serves various purposes, including entertainment, education, preserving cultural heritage, and imparting moral values. Each culture has unique stories that have been passed down from generation to generation. The origins of storytelling can be traced back to the Cro-Magnon era when humans utilized it to document their daily experiences. Despite originating during the age of cave paintings, the psychological impact of storytelling remains relevant to this day, after thousands of years.
Data is an indispensable collection of discrete values that provide vital information on quantity, quality, facts, statistics, and other fundamental units of meaning. It is represented as numbers or characters and is commonly gathered through measurement, observation, query, or analysis. It is the smallest unit of information that must be used for calculation, reasoning, or discussion, ranging from abstract ideas to concrete measurements. When thematically connected, data presented in context must be considered information, while contextually related pieces of information must be described as data insights or intelligence.
With the advancement of computing technologies, Big Data has emerged, typically involving vast amounts of data at the petabyte scale. Analysing and working with such large datasets using traditional methods can be challenging. In theory, infinite data generates infinite information, making it difficult to extract insights or intelligence. Nevertheless, Data Science has emerged, utilizing Machine Learning and other Artificial Intelligence methods to apply analytic techniques to Big Data efficiently.
What is data storytelling, different from traditional and how is it storytelling?
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