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  • Discuss the historical chart of New York City weather, see Figure 3.1
  • Discuss the five data graphics principles related to “ink,” see Figure 3.2.
  • Discuss the following chart elements: chart title, y-axis, y-axis labels, x-axis, x-axis labels, data series, data points, and legend.
  • Use Table 3.1 to identify and describe the chart types available in Excel.
  • Use Figure 3.5 to illustrate the use of line charts.
  • Use Figure 3.6 to discuss line charts and scatter charts.
  • Use Figure 3.7 to illustrate the use of the Select Data Source dialog box.
  • Use Figure 3.8 to illustrate a display of the data series by row and column.
  • Use Figure 3.10 to discuss the Chart Tools Layout tab
  • Use Figure 3.9 to discuss the result of selecting too many options.Excessive “ink”
  • Introduce the terms area chart and pie chart.
  • See Figure 3.11 for a comparison of a column chart with an area chart.
  • Use Figures 3.12 and 3.13 to illustrate the use of pie charts.
  • Use Figures 3.12 and 3.13 to illustrate the use of pie charts.
  • Use Figure 3.15 to illustrate the use of the Format Data Labels dialog box.
  • Use Figure 3.16 to compare 3-D charts with regular charts.
  • Use Figure 3.18 to compare the original area chart of consumer purchase data with 100% stacked versions of the same data.
  • Use Figure 3.22 to illustrate the use of the Format Series dialog box.
  • Use Figure 3.23 to illustrate the Pie of Pie chart with formatting changes.
  • Use Figure 3.24 to discuss how the percentages of consumer purchases have changed from year to year.
  • Use Figure 3.25 to discuss the creation of a chart with the High-Low-Close chart sub-type.
  • Use Figure 3.26 to discuss the creation of a chart with the Open-High-Low-Close sub-type.
  • Use Figures 3.27 through 3.29 to illustrate the use of the Volume-High-Low-Close sub-type.
  • Introduce the terms trendlines and moving average.
  • Use Figure 3.31 to illustrate the worksheet with summary table.Use Figure 3.32 to show the resulting Volume-Open-High-Low-Close stock chart.
  • Charting on three axes.

Chapter.03 Presentation Transcript

  • 1. Determining Effective Data Display with Charts
    Chapter 3
    “Information is a source of learning. But unless it is organized, processed, and available to the right people in a format for decision making, it is a burden, not a benefit.”- William Pollard
  • 2. Chapter Introduction
    Creating effective charts that show quantitative information clearly, precisely, and efficiently
    Basics of creating and modifying line and column charts
    Influence of chart type on viewer’s perception
    How charts can be used in specific situations
    Building a management dashboard by combining different chart types within the same chart
  • 3. Chart Types Covered in this Chapter
    XY (Scatter)
  • 4. Level 1 Objectives:Analyzing Basic Chart Types
    Visualizing Data
    Effective Charting in Excel
    Determine appropriate uses for different chart types
    Modify the chart type and the chart source data
    Specify chart options, including chart and axes titles, legends, and data labels
  • 5. Visualizing Data
  • 6. Data Graphics Principles (Tufte)
    Above all else, show the data
    Maximize the data-ink ratio, within reason
    Erase non-data-ink, within reason
    Erase redundant data-ink, within reason
    Revise and edit
  • 7. Data Graphics Principles
  • 8. Data Graphics Principles
    “Above all else show the data”
    Reminder not to clutter a chart by adding unneeded illustration or decoration.
    “Maximize the data-ink ratio”
    Refers to the portion of ink that is devoted to displaying the data vs. the portion of graphic that can be removed without losing the data.
  • 9. Data Graphics Principles
    “Erase non-data-ink”
    Non-data-ink is a part of the chart that decorates more than informs.
    “Erase redundant data ink”
    Redundant data ink is ink that repeats information.
    “Revise and edit”
    Revise and edit charts like you would a piece of writing.
  • 10. Data Graphics Principles
  • 11. Effective Charting in Excel
    Creating Chart in Excel
    Select data to display
    Click Insert tab on Ribbon
    Click a button in Charts group or dialog box launcher
  • 12. Chart Types
  • 13. Understanding Line and Column Charts
    • Line chart- displays trends over time or by category.
    • 14. Column chart- compares values across categories in a vertical orientation.
  • Understanding Line and Column Charts
  • 15. Comparing Line andXY (Scatter) Charts
    • XY (Scatter) charts plot numeric values on both the X- and Y- axes based on the value of the data.
    • 16. Whereas a line chart plots numeric values on one axis and category labels equidistantly on the other axis.
  • Comparing Line andXY (Scatter) Charts
  • 17. Changing the Chart Source Data
  • 18. Results of Changing Source Data
  • 19. Specifying Chart Layout Options
    • Click chart to display Chart Tools contextual tabs
    • 20. Chart Tools Layout Tab
    • 21. Options grouped by Labels, Axes, and Background
  • Specifying Chart Options
  • 22. Specifying Chart Options
  • 23. Understanding Area and Pie Charts
    • Area chart - combines the features of a line chart with a bar or column chart by filling in the area below the line, and displaying the trend values over time or categories.
    • 24. Pie chart - displays the percentage contribution that each category makes to a whole or 100%.
  • Column Charts and Area Charts
  • 25. Selecting Pie Chart Source Data
  • 26. Pie Charts
  • 27. Formatting Data Labels
  • 28. Working with 3-D Charts
    2-D Line chart
    3-D Line chart
    2-D Column chart
    3-D Column chart
  • 29. Chapter 3
    Succeeding in Business with Microsoft Office Excel 2007: A Problem-Solving Approach
    Level 1 Summary
    Using charts to illustrate quantitative information adds visual analysis to problem solving
    Tufte’s guiding principles on creation of graphics
    How choice of chart type can influence viewer’s perception of information presented
    Differences between main chart types
    Different interpretation of data can result from use of different chart type
  • 30. Level 2 Objectives:Evaluating Chart Sub-Types
    Examining Sub-Types For Various Chart Types
    Evaluate the stacked and 100% stacked sub-types
    Explore the Pie of Pie and Bar of Pie sub-types
    Create various stock charts to display financial data
    Clarify data with trendlines and moving averages
  • 31. Examining Sub-typesfor Various Chart Types
  • 32. Adding Things Up:Stacked Chart Options
    Original area chart
    Stacked area chart
    Stacked column chart
    Stacked line chart
  • 33. Summing to 100%:Alternatives to Pie Charts
    Original area chart
    100% stacked area chart
    100% stacked column chart
    100% stacked line chart
  • 34. Summing to 100%:Alternatives to Pie Charts
    Showing the cumulative contribution for each category as a percentage can reduce confusion over whether the line on the chart represents the individual or cumulative contribution to the whole.
  • 35. Slicing the Pie Too Thin: Summarizing Too Much Detail in Pie Charts
    An excessive number of pie slices makes the chart cluttered and confusing.
  • 36. Pie of Pie and Bar of Pie Chart Sub-Types
    Decrease number of pie segments to improve visual display of data
    Use Format Data Series dialog box to select options for splitting data series
    Percent Value
  • 37. Pie of Pie Sub-Type
  • 38. Using Format Data Series to Change the Format
  • 39. Using Format Data Series to Change the Format
  • 40. Applied Formatting Changes
  • 41. Doughnut Charts
    Show individual percentages contained in a pie chart for more than one series
  • 42. Doughnut Charts
  • 43. Monitoring a Businesswith Stock Charts
    Excel stock reporting charts are somewhat based on the candlestick plot format
    Stock chart sub-types
  • 44. Sample High-Low-Close Chart
  • 45. Sample Open-High-Low-Close Chart
  • 46. Sample Volume-High-Low-Close Chart
  • 47. Sample Volume-Open-High-Low-Close Chart
  • 48. Adding Trendlinesand Moving Averages
    Graphically illustrate trends in data using a statistical technique known as regression
    Moving average line
    Used to smooth out the data, making it easier to spot trends
  • 49. Adding Trendlinesand Moving Averages
  • 50. V-O-H-L-C Summary Chart
  • 51. Level 2 Summary
    Chart sub-types for line, column, and area charts (stacked and 100% stacked)
    Pie of Pie and Bar of Pie chart sub-types
    Sub-types of stock charts
    Clarifying data in stock charts using trendlines and moving averages
  • 52. Level 3 Objectives:Exploring More AdvancedChart Types
    Understand and evaluate radar charts
    Understand and evaluate bubble charts
    Compare a bubble chart with a 3-D column chart
    Create and customize a doughnut chart
    Explore and customize a dashboard chart
  • 53. Evaluating the Effectiveness of Radar, Bubble, and Dashboard Charts
  • 54. Understanding Radar Charts
    The straight lines that radiate out from the center represent categories.
  • 55. Plotting 3-D Data in Two Axes: Bubble Charts Versus3-D Column Charts
  • 56. Sample Bubble Chart
    The market share of each shoe style is represented by the size of the bubbles.
  • 57. Solving Bubble Chart Problems
  • 58. Solving Bubble Chart Problems
  • 59. Creating a Management Dashboard
    Build a dashboard chart
    Define the normal operating range
    Create the value indicator
    Create the doughnut chart
    Add digital values to the chart
  • 60. Build a Dashboard Chart
  • 61. Define the Normal Operating Range
  • 62. Level 3 Summary
    More advanced chart types
    Radar charts
    Bubble charts
    How to combine chart types within the same chart to build a management dashboard
  • 63. Chapter Summary
    Charts offer the opportunity to add visual analysis to problem solving
    Chart types and their differences including
    XY (Scatter)
  • 64. Chapter Summary
    Chart sub-types further summarize the data being presented
    Advanced chart types such as radar and bubble charts
  • 65. Chapter Summary