The solution is to visualize that data. One of the simplest ways to do just that is with graphs. Graphs have a way of letting you see the big picture that is hidden within the mass of numbers.

Types Of Graphs

There are several types of graphs. Each has its strengths and weaknesses. The following list shows the more common graphs with their pros and cons:

Pros Cons

Line Graphs Great for seeing trends and seasonality in data. Not good with small amounts of data.

Pie Graphs Good for showing the percentage of the whole. One trick pony! No other uses.

Bar Graphs Better with small amounts of data. Not good with large amounts of data.

Uses For Graphs

Graphs have an amazingly wide number of uses. Some of these are listed below:

1. Show trend over time.
2. Illustrates data seasonality.
3. A visual indicator of volatility.
4. A predictor of future results.
5. What portion each part is of the whole.
6. A means of making comparisons between multiple sets of data.
7. Shows when a preset standard is being met.
8. Provides a starting point for regression analysis.
9. Initial analysis for curve fitting.
10. Helps visualize the relationship between two or more variables.
11. Sim
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    f numbers.

    Types Of Graphs

    There are several types of graphs. Each has its strengths and weaknesses. The following list shows the more common graphs with their pros and cons:

    Pros Cons

    Line Graphs Great for seeing trends and seasonality in data. Not good with small amounts of data.

    Pie Graphs Good for showing the percentage of the whole. One trick pony! No other uses.

    Bar Graphs Better with small amounts of data. Not good with large amounts of data.

    Uses For Graphs

    Graphs have an amazingly wide number of uses. Some of these are listed below:

    1. Show trend over time.
    2. Illustrates data seasonality.
    3. A visual indicator of volatility.
    4. A predictor of future results.
    5. What portion each part is of the whole.
    6. A means of making comparisons between multiple sets of data.
    7. Shows when a preset standard is being met.
    8. Provides a starting point for regression analysis.
    9. Initial analysis for curve fitting.
    10. Helps visualize the relationship between two or more variables.
    11. Si
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        People think of summer as a time to leave work early, take vacations, visit the beach and read a good book. Summer is good for all those things. But it is also the perfect time of the year for evaluating your professional life and addressing areas in need of personal development.EvaluateThe first and most important step is to evaluate where you are versus your career and professional goals. A
        onality in data. Not good with small amounts of data.

        Pie Graphs Good for showing the percentage of the whole. One trick pony! No other uses.

        Bar Graphs Better with small amounts of data. Not good with large amounts of data.

        Uses For Graphs

        Graphs have an amazingly wide number of uses. Some of these are listed below:

        1. Show trend over time.
        2. Illustrates data seasonality.
        3. A visual indicator of volatility.
        4. A predictor of future results.
        5. What portion each part is of the whole.
        6. A means of making comparisons between multiple sets of data.
        7. Shows when a preset standard is being met.
        8. Provides a starting point for regression analysis.
        9. Initial analysis for curve fitting.
        10. Helps visualize the relationship between two or more variables.
        11. Si
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            raphs have an amazingly wide number of uses. Some of these are listed below:
            1. Show trend over time.
            2. Illustrates data seasonality.
            3. A visual indicator of volatility.
            4. A predictor of future results.
            5. What portion each part is of the whole.
            6. A means of making comparisons between multiple sets of data.
            7. Shows when a preset standard is being met.
            8. Provides a starting point for regression analysis.
            9. Initial analysis for curve fitting.
            10. Helps visualize the relationship between two or more variables.
            11. Si
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                s of making comparisons between multiple sets of data.
            12. Shows when a preset standard is being met.
            13. Provides a starting point for regression analysis.
            14. Initial analysis for curve fitting.
            15. Helps visualize the relationship between two or more variables.
            16. Simplifies reporting.
            17. Identifies opportunities.

            The Language Of Graphs

            Graphs have a set of vocabulary that is necessary to know to fully understand their meaning. Most of the terms used come right out of your algebra textbook. If you know algebra, then you probably already know theses terms. If you don't know algebra then you need to learn these terms and their definitions.

            X - It is common practice to call the horizontal values x.
            Y - The vertical values are referred to as the y values.
            X-axis - This is the horizontal line which separates the y positive values from the y negative values.
            Y-axis - This is the vertical line which separates the x positive values from the x negative values. Slope - This is simply the slant of the graph. A positive value says the graph is rising. A negative value says the graph is falling.
            Variables - These are the two part values consisting of a dependent variable and an independent variable. An example might be a graph of monthly expenses. The x variable is the month and the y variable is the expense. A data point might be February for $3000. When March comes along, the value migh