We'd need more of a context. In life, my name, hair color, weight, hometown, favorite band, food I ate, friends, etc., are all data, and probably don't contain too many numbers.
In computers everything is stored as a binary number. So, non-negative integers are pretty easy to store. Negative integers take just a little bit more thinking (read up on 2's complement).
Float-type numbers have 2 parts, the exponent and the mantissa, where each part has a sign bit.
Strings are sequences of characters. A character is stored as an integer, and looked up in a table, when it actually needs to be displayed. E.g., 'A' is 6510 in the ASCII table.
Other, more complex data, is made up of collections of numbers and strings. Homogeneous collections are lists or vectors of, for example, integers, or strings, or other lists. Heterogeneous data is a collection of different types. E.g.:
A person might have these attributes, on a driver's license:
name
address
age
hair color
weight
license #
Name and address would be strings. A simple age would be an integer. A birthday is a little more complex, but can be represented using an integer, or maybe a couple integers.
Weight is an integer, or possibly a float type.
Since there are usually only a few pre-defined choices for hair and eye color, we might enumerate (assign integers to) them, to save storage space.
ID "numbers", zip codes, phone numbers should be stored as strings. We might call them numbers, but, it doesn't make sense to do arithmetic on these things, so...
The mode.
data pictures are graphs.
Data that can't be expressed in numbers is called qualitative data, which includes descriptions and observations. Color, texture, emotions, and shape are examples of qualitative data.
transferring data such as music or pictures from your computer to your flash drive
I believe it is something that you are changing during the experiment and there could be millions of examples
The mode.
Two examples of primary data are survey responses collected directly from individuals and experiments conducted to gather specific data. Two examples of secondary data are data obtained from government reports and data collected from previous research studies.
data pictures are graphs.
Counter-examples, possibly.
Data that can't be expressed in numbers is called qualitative data, which includes descriptions and observations. Color, texture, emotions, and shape are examples of qualitative data.
a data base is a collection of organized data used mostly in computers examples are:google
Analogue Data is a Tape or Amplifier. Etc...
distributed data services examples
quantitative and qualitative
something
Hey! Examples of data sets can be found at infochimps.com Enjoy!
transferring data such as music or pictures from your computer to your flash drive