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Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
What does "data granularity" refer to in data visualization and reporting?
In data visualization, what does "geospatial data" refer to?
In data visualization, what does "data compression" refer to?
What does the term "chartjunk" refer to in data visualization?
In data visualization, what does "annotation" refer to?
In a data visualization, what does "axis scaling" refer to?
In a data visualization, what does "color saturation" refer to?
Directions : In each of the following questions a statement is given, followed by two conclusions. Give answer :

Statement : "You must learn to refer to dictionary if you want to become a good writer." - A advises B.

Assumptions :
I. Only writers refer to the dictionary.
II. All writers, good or bad, refer to the dictionary.
Which tool is often used for real-time data visualization and monitoring of data pipelines in data science projects?