3.1 Flashcards
what are the two types of data for data visualization?
numerical and non-numerical data
What are the two types of data visualization?
explantory and exploratory
Name 3 characteristics that make data visualization sucessful?
- clarity and simplicity
- design and function
- creating a narrative
______ is the method used to display data in a graphical format.
data visualization
T or F: data we can observe or data in qualitative form is numerical data.
F, non-numerical
data in quantitive form or in measurable form is _______ data.
numerical
T or F: Time, weight, height, and amount are examples of numerical data.
true
T or F: to tell a story effectively through visual aids, you need to know your audience well.
true
the success of data visualization is based on the combination of four elements which are:
audience, story, visual, and data.
_______ is when we use data visualization to find the story behind it.
exploratory data visualization
______ is when we use data visualization to communicate the story.
explantory data visualization
a person’s gender, address, ethnicity, etc are examples of (numerical/non-numerical) data.
non-numerical
T or F: humans are currently generating an estimated 2.8 quintillion bytes of data every single day.
F, 2.5
_____ is a collection of raw facts, figures, or statistics, which are collected and processed to deduce information, which in turn is used to make decisions.
data
______ can show patterns, trends, or presentations in a pictorial format.
data visualization
T or F: the human brain processes images 60,000 times faster than text.
true
map-making, drawings, and pictures are all old examples of the history of _______
data visualization
(explantory/exploratory) data visualization tends to be complex and contains lots of information.
exploratory
in (explantory/exploratory) data visualization you dont want to include any unnecessary or irrelevant data.
explantory
what kind of buisnesses or fields need data visualization?
it is used in the corporate world, hospitals, banking sectors, govermental organizations, marketing companies, and other industries.