GTECH 201 - PowerPoint PPT Presentation

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GTECH 201

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Measurement of the time component. Measurement of the space component ... Variable (= attribute) a characteristic of the element in which we are interested ... – PowerPoint PPT presentation

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Title: GTECH 201


1
GTECH 201
  • Lecture 03Data measurementsData errors

2
Measurement
  • The process of obtaining scores for each element
    for each variable
  • This can take on a variety of forms
  • Producing scores (and distributions) of a widely
    varying nature
  • The measurement of raw variables
  • Derived variables and measurement
  • Measurement of the time component
  • Measurement of the space component

3
Measurement of Raw Variables
  • Primary and secondary data control over the
    measurement process
  • Operational definitions of the measurement
    process
  • Highly varied terminology for the different
    levels of measurement

4
Derived Variables and Measurement
  • Why not use raw variables?
  • Derived variables can be considered as a ratio
    (or percent or index) of two numbers the
    numerator and the denominator (in the ratio a/b,
    a is the numerator, b is the denominator)

5
Measurement of the Time and Space Components
  • Time is a continuous variable
  • Date, time and datetime
  • Space is a continuous variable
  • (x,y) and (x,y,z) location measurement
  • Distance and bearing alternative

6
Measurement Scales
Most statistical texts follow the original 4-fold
measurement structure attributed to a chap
called Stevens, written up in 1946
  • Nominal
  • Ordinal
  • Interval
  • Ratio

7
Geographical Data
  • Dayta or darta
  • Data sets used by geographers
  • Geographic vs. spatial data
  • 3 Quick Questions
  • What would a piece of data look like?
  • Must data consist of numbers?
  • What would a data set look like?

8
3 Approaches to Data Definitions
The terminology used in handling data sets (in
geography) stems from three different sources.
It is now somewhat of a mix of the three.
  • Statistical analysis
  • Spatial analysis
  • Data base structures (IT)

9
Some Basic Definitions
  • Element ( observation entity) the smallest
    (measurable) unit
  • Population (of elements) (approximately equal to
    universe) the totality of all elements. May be
    finite or infinite, with size known or unknown
  • Sample a subset of the population
  • Variable ( attribute) a characteristic of the
    element in which we are interested
  • Data score (or simply datum/data) an individual
    value for an element for a variable
  • Data distribution a set of scores for a
    variable
  • Data set an assemblage of related data
    distributions for a set of elements

10
Things We Can Do With Data
  • Data display a display of a data distribution
    in the form of a table, graph or map
  • Data analysis the analysis of data
    distributions (including statistical analysis)
  • Data storage and retrieval just as the name
    implies (anything from sheets of paper in a
    folder to a computer file)

11
Data Structure
  • Measurement is the process of obtaining scores
    for an element
  • Each element will have an infinite number of
    characteristics, the relevant ones of which will
    be measured (the variables or attributes)
  • The element will also occupy a locational
    position in time and space sometimes this
    position is important, sometimes it is not

12
Geographic Data Structure
  • A generalized data structure for each element is
  • The data structure that results can be presented
    (stored) in a data matrix, where the columns are
    the variables (with or without the temporal and
    spatial location), and the rows are the elements

(var1, var2, .., vark), (temporal location),
(spatial location)
13
Introduction to MS Excel
  • Opening screen
  • Typical look of an Excel spreadsheet

14
User Interface Elements
  • Title bar
  • Menu bar
  • Toolbars
  • Standard toolbar
  • Formatting toolbar
  • Formula bar
  • Status bar

15
Worksheets
16
Name Box
17
Selecting Cells
18
Entering and Editing Data
  • Entering Data
  • Editing Data
  • F2
  • Double-click
  • Formula

19
Formatting Text
  • Just as in MS Word
  • Alignment
  • Bold, italics, underline
  • Font color

20
Column Width
  • Choose Format gt Column gt Width  
  • Drag cursor on separation line
  • Double click on separation line
  • Holding left mouse pressed

21
Moving to a New Worksheet
22
Mathematical Calculations
  • Cell arithmetic
  • AutoSum
  • Function button

23
Functions
  • Function categories
  • Function wizard

24
Formatting Numbers
  • Choose Format gt Cells  
  • Before
  • Toolbar
  • After

25
Deleting Rows and Columns
26
Creating Borders
  • Choose Format gt Cells 
  • Border icon on toolbar

27
Merge and Center
  • Icon on Formatting toolbar
  • Autofill

28
Printing
  • Page setup or Print preview

29
Creating Charts
  • Step 1 - select the data that you want charted
  • Step 2 pull-up chart the wizard

30
Modifying Charts
  • Change size and position
  • Modify other characteristics
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