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    Diagrammatic Representation of

    Statistical Data&Classification of Graphs

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    Diagrammatic Representation of

    Statistical Data

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    Diagrammatic Representation 1

    Must be neat and workmanlike

    i.e. pleasing to look at;

    able to emphasize the important feature

    i.e. choose a method which is possible todraw readers attention very quickly

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    Diagrammatic Representation 2

    There are often 2 or more methods of

    presenting the same statistics;

    so choose the most informative, incisive and

    effective one;

    Do NOT put too much information on a

    single map;

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    Diagrammatic Representation 3

    Must include the KEY, TITLE, SCALE

    or else:

    MEANINGLESS !!!

    Useful to do overlay i.e. based on the same base map

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    Diagrammatic Representation 4

    The appreciation of a quantity represented

    by a linear symbol is easier than represented

    by an areal symbol

    and it holds also to volume symbol;

    Graphs for comparison ?

    use the same scale !!!

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    Diagrammatic Representation 5

    Basic equipment:

    ruler (for refine marking);

    pencil (HB, H/ 2H);

    colour pencils;

    compasses; dividers;

    protractor & set rule (circle / square)

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    Diagrammatic Representation 6

    Draw straight line by using a ruler,

    i.e. no FREEHAND !!!

    Using contrasting colour, esp. pie chart;

    Avoid patches of tone grade;

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    Diagrammatic Representation 7

    Sharp point of the pen should always be

    maintained; SHARP !!!

    Either printing or block capitals !

    Horizontal !!!

    CHECK your work !

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    Diagrammatic Representation 8

    If you want to enlarge the scale ?

    the graph must be clearly indicated of the

    rate of exaggeration with note / explanation;

    Cultivate the habit of examining statistical

    maps whenever they appear;

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    Diagrammatic Representation 9

    Make preliminary drawing;

    Exercise your own creativity on making the

    maps;

    PRACTICE !PRACTICE! & PRACTICE !

    because READING alone is not sufficient !

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    Classificationof

    Statistical Graphs

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    Classification of Graphs:

    1. Statistical Graphs;

    2. Statistical Chart & Diagrams;

    3. Statistical Maps.

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    What are Statistical Graphs ?

    They are graphs basically concerned with

    the relationship between quantities and does

    not stress the idea of location;

    Drawn on the background of squared graph

    paper;

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    Statistical Graphs

    1. Line & curve graphs

    2. Bar graphs

    3. Age and sex pyramids

    4. Dispersion graphs

    5. Semi-logarithmic graphs 6.Circular graphs

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    Statistical Graphs- Line & Curve

    Types of Line & Curve Graphs

    a. simple

    b. group or comparative

    c. compound

    d. divergence

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    1a.Simple Line & Curve Graphs:I

    CONSTRUCTION:

    horizontal axis is normally used for

    independentvariable; vertical axis fordependent variable;

    the base of the vertical scale should be at

    zero; the top should be slightly higher than the

    maximum value to be recorded;

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    1a.Simple Line & Curve Graphs:II

    two different sets of values may be marked

    on the two axes

    e.g. oF and oC; hectares & acres

    values marked on the vertical scale must not

    stand on the horizontal lines but written so

    that they would be bisected by thehorizontal line

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    1a.Simple Line & Curve Graphs:III

    Do not indicate large numbers with long

    strings of noughts;

    e.g. 100, 000 & 200, 000

    but write, either at the top (preferably) or

    along the side of the axis;

    When plotting, do not use crosses or dots

    surrounded by a circle to mark values.

    Use just a dot - visible, not too prominent.

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    1a.Simple Line & Curve Graphs: IV

    GENERAL:

    Very great care must be taken in choosing

    both the vertical and horizontal scales;

    Graphs used for the purpose of comparison

    must be drawn on the same scale;

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    1b. Group or Comparative Line I CONSTRUCTION:

    Lines and curves should be clearly & easily

    distinguishable from each other;

    Different colours can be used or

    different methods of drawing a line can be

    employed. e.g.

    --------, .., -.-.-.-. , ---.---.

    The maximum number of lines or curves

    on 1 statistical graph: 4 - 5 only.

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    1b. Group or Comparative Line II

    GENERAL:

    sometimes advantageous to write essential

    information on each line or curve ,

    but dont exceed one or at the most two

    words per line;

    Crossing of lines or curves should beavoided as much as possible to reduce

    confusion and the difficulty in interpretation.

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    1c. Compound Line Graph: I

    CONSTRUCTION:

    Draw the largest item or the one that shows

    the least fluctuation first;

    Lines cannot cross each other;

    Colouring or shading is of considerable help

    in interpretation.

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    1c. Compound Line Graph: II GENERAL:

    As the base of any individual line graph is

    not zero (except the bottom one); it must be

    remembered that

    only readings between the individual line

    graphs can be considered;

    Do not confuse the compound line graph

    with the comparative (or group)line graph.

    Difficult to find the value of individual item

    though the total value is shown.

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    1d. Divergence Line Graphs: I

    CONSTRUCTION:

    The Zero line is usually thickened;

    Great care must be taken in choosing the

    vertical scale;

    The vertical scale can be in terms of values,

    quantities or percentages.

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    1d. Divergence Line Graphs: II

    Values above average are calculated by

    subtracting average from actual production

    totals and plotted accordingly. The vertical axis must be scaled, both above

    and below the zero line;

    the upper part for positive, the lower fornegative values.

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    1d. Divergence Line Graphs: II

    GENERAL:

    The graph does not normally show

    production, exports, population and so on asabsolute totals;

    It shows divergence, positive or negative,

    from some particular or average;

    It should not be used as a compound or

    comparative line graph. (1 commodity only)

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    2. Bar Graphs

    a. Simple

    b. Group (or Comparative)

    c. Compound (or Divided)

    d. Divergence

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    2a. Simple Bar Graphs: I CONSTRUCTION: The horizontal scale: independent variable;

    All bar must start at zero;

    Bars may be drawn horizontally when the

    time element is of minor significance;

    e.g. production of 1 commodity by different

    countries for a particular year

    In such case, bars are usually arranged in

    order of magnitude, the largest at the top.

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    2a. Simple Bar Graphs: II

    When vertical bars are drawn, the time

    sequence is from left to right;

    If there is missing item, space should be leftto indicate this.

    The width of the bar is a matter of choice

    but avoid bars that are too thick or too thin.

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    2a. Simple Bar Graphs: III

    GENERAL:

    Bar graphs are often used in conjunction

    with line or curve graphs;

    e.g. climatic graph

    e.g. hydrograph

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    Group/Comparative Bar Graphs

    Bars are grouped together for the purposes

    of comparison;

    The grouping of bars gives a betterimpression of totality and of the individual

    contribution made by each of the

    component parts; But does not give an accurate impression of

    the total; Solution: bars drawn as % of the

    total.

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    2b. Group/Comparative Bar Graphs: I

    CONSTRUCTION:

    Basically the same as drawing simple bar

    graphs;

    Bars are usually drawn touching each other

    to give an impression of totality;

    Groups of bars must be separated from each

    other;

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    2b.Group/Comparative Bar Graphs: II

    Use vertical group bars if the time element

    is of considerable importance;

    Draw the longest bar of the group on the left,proceeding in descending order to the right;

    All bars must be of the same width and

    drawn at right angles to the axis.

    No writing need appear on the bars but a

    key must be added.

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    2b.Group/Comparative Bar Graphs: III

    GENERAL:

    Groups should be composed of not more

    than 3 or 4 bars;

    Bars may be drawn inside each other but

    it is not recommended.

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    2c.Compound/ Divided Bar Graphs ?

    It is drawn by sub-dividing one bar into its

    component parts.

    The total length of the bar represents thetotal value of the component parts which are

    shown as sub-division;

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    2c.Compound/ Divided Bar Graphs I

    CONSTRUCTION:

    When draw vertically, the bars may be sub-

    divided in descending order of size (thesmallest at the top);

    Alternatively the component that shows the

    least variation may be placed nearest thezero line;

    Shading must indicate the same component.

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    2c.Compound/ Divided Bar Graphs II

    GENERAL:

    Although the length of bars is easily and

    quickly compared,

    it is difficult to assess the value of any one

    component or to trace its fluctuation over a

    period of time.

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    2d. Divergence Bar Graphs I

    CONSTRUCTION:

    The zero line must be clearly indicated;

    usually by thickening;

    The vertical axis must be scaled, both above

    and below the zero line;

    the upper part for positive, the lower for

    negative values.

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    2d. Divergence Bar Graphs II

    Compound or group bars should not be used

    to show divergence;

    divergence bar graphs usually employ

    simple bars only.

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    3. OTHERS

    Age & Sex Graphs / Pyramids

    Dispersion Graphs

    e.g. inter-quartile

    Semi-Logarithmic Graphs

    Circular Graphs

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    Statistical Chart and Diagrams ?

    Do not depend on squared graph paper nor

    map;

    Used in conjunction with a map for

    defining or emphasizing location;

    or drawn independently.

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    Statistical Charts & Diagrams

    1. Divided Circle (Pie Charts)

    2. Divided Rectangle

    3. Repeated Symbols

    e.g. Proportional Circles

    Proportional Squares

    Proportional Cubes

    Proportional Spheres

    Wind Roses

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    1. Divided Circle (Pie Charts) II

    The largest component is usually placed to

    the right of 12 oclock.

    Small segments often present a problem andare best grouped together around 9

    oclock;

    To reduce errors to a minimum, anglesshould be measured on a cumulative basis;

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    1. Divided Circle (Pie Charts) III

    All printing on the pie chart should be in

    block capitals and horizontal.

    It is often advantageous to mark eitherabsolute or percentage values on the

    relevant segment and to colour the segments

    distinctively; Segments that are similar in character must

    be grouped together;

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    1. Divided Circle (Pie Charts) IV

    Small segments should be coloured with a

    bright colour or shaded by some distinctive

    means; The number of segments will be dictated by

    the nature of the statistics;

    the greater the number of segments themore difficult the pie chart becomes to read;

    7 - 8 segments would seem to be the max.

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    1. Divided Circle (Pie Charts) V

    GENERAL:

    A striking and effective visual impression

    can be given by a simple divided circle,especially if colours are used;

    For comparison of the components ratherthan on comparison of totals -- 2 or moresimple divided circles of the samesize may be used.

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    Statistical Maps ?

    They stress the idea of

    location and / or

    spatial distribution;

    based on a map as construction.

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    Statistical Map ?

    1. Dot Maps

    2. Isoline Maps

    3. Shading (Choropleth) Maps

    4. Flow Maps

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    THE END

    Can you identify the different types of

    graphs from our textbook?

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    Other Graphic Techniques:

    Scattered Graph: P.423, Fig. 16.5

    Lorenz Curve: P.325, Fig. 13.8

    Rank-size Rule: P.373, Fig. 14.23

    P.374, Fig. 14.24

    Nearest Neighbour Analysis P.371

    Spearmans Rank Correlation Coefficient:

    P.573

    Location Quotient: P.518