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Ilya M. (Russia)
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Full list of words from this list:

words only definitions & notes
  1. datum
    an item of factual information from measurement or research
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  2. point in time
    an instant of time
    At this point in time, the data frame looks something like
    this:
  3. queue
    a line of people or vehicles waiting for something
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  4. cryptic
    having a secret or hidden meaning
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  5. understandable
    capable of being apprehended
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  6. convert
    change the nature, purpose, or function of something
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  7. data
    a collection of facts from which conclusions may be drawn
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  8. frequency
    the number of occurrences within a given time period
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  9. viewing
    the display of a motion picture
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  10. script
    something written by hand
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  11. column
    a line of units following one after another
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  12. focus on
    center upon
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  13. focused
    brought into sharp clarity
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  14. chart
    a visual display of data or information
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  15. frame
    the internal structure that gives an artifact its shape
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  16. create
    bring into existence
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  17. function
    what something is used for
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  18. focus
    the concentration of attention or energy on something
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  19. code
    a set of rules or principles or laws
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  20. size
    the physical magnitude of something (how big it is)
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  21. names
    verbal abuse; a crude substitute for argument
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  22. in time
    within an indefinite time or at an unspecified future time
    At this point in time, the data frame looks something like
    this:
  23. program
    a series of steps to be carried out
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  24. make it
    succeed in a big way; get to the top
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  25. method
    a way of doing something, especially a systematic way
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  26. table
    furniture having a smooth flat top supported by legs
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  27. using
    an act that exploits or victimizes someone
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  28. previous
    just preceding something else in time or order
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  29. name
    a language unit by which a person or thing is known
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  30. count
    determine the number or amount of
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  31. similar
    having the same or nearly the same characteristics
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  32. particular
    unique or specific to a person or thing or category
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  33. appear
    come into sight or view
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  34. to that
    to that
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  35. figure
    alternate name for the body of a human being
    The code is similar to that of the previous script that created the chart in Figure 3-2.
  36. result
    something that follows as a consequence
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  37. instead
    in place of, or as an alternative to
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  38. view
    the visual percept of a region
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  39. office
    place of business where professional duties are performed
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  40. number
    a concept of quantity involving zero and units
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  41. point
    a distinguishing or individuating characteristic
    At this point in time, the data frame looks something like
    this:
  42. times
    a more or less definite period of time now or previously present
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  43. rather
    more readily or willingly
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  44. use
    put into service
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  45. however
    in whatever way or manner
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  46. look
    perceive with attention; direct one's gaze towards
    At this point in time, the data frame looks something like
    this:
  47. time
    the continuum of experience in which events pass to the past
    The table() function
    counts the number of times a particular queue size appears, and the program converts
    the resulting table into a data frame.
  48. make
    perform or carry out
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  49. people
    any group of human beings collectively
    Instead of viewing all the data, however, I focused on using the data with the popu­
    lation of 70 people in the office (that is, the column named X70).
  50. two
    the cardinal number that is the sum of one and one
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
  51. like
    having the same or similar characteristics
    At this point in time, the data frame looks something like
    this:
  52. more
    greater in size or amount or extent or degree
    This method creates rather cryptic column
    names, so to make it more understandable, we convert the two column names into
    queue_size and frequency.
Created on 十月 24, 2012

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