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  1. 1. Determining Effective Data Display with Charts<br />Chapter 3<br />“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<br />
  2. 2. Chapter Introduction<br />Creating effective charts that show quantitative information clearly, precisely, and efficiently<br />Basics of creating and modifying line and column charts<br />Influence of chart type on viewer’s perception<br />How charts can be used in specific situations<br />Building a management dashboard by combining different chart types within the same chart<br />
  3. 3. Chart Types Covered in this Chapter<br />Area<br />Bubble<br />Column<br />Doughnut<br />Line<br />Pie<br />Radar<br />Stock<br />XY (Scatter)<br />
  4. 4. Level 1 Objectives:Analyzing Basic Chart Types<br />Visualizing Data<br />Effective Charting in Excel<br />Determine appropriate uses for different chart types<br />Modify the chart type and the chart source data<br />Specify chart options, including chart and axes titles, legends, and data labels<br />
  5. 5. Visualizing Data<br />
  6. 6. Data Graphics Principles (Tufte)<br />Above all else, show the data<br />Maximize the data-ink ratio, within reason<br />Erase non-data-ink, within reason<br />Erase redundant data-ink, within reason<br />Revise and edit<br />
  7. 7. Data Graphics Principles<br />
  8. 8. Data Graphics Principles<br />“Above all else show the data”<br />Reminder not to clutter a chart by adding unneeded illustration or decoration.<br />“Maximize the data-ink ratio”<br />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.<br />
  9. 9. Data Graphics Principles<br />“Erase non-data-ink”<br />Non-data-ink is a part of the chart that decorates more than informs.<br />“Erase redundant data ink”<br />Redundant data ink is ink that repeats information.<br />“Revise and edit”<br />Revise and edit charts like you would a piece of writing.<br />
  10. 10. Data Graphics Principles<br />
  11. 11. Effective Charting in Excel<br />Creating Chart in Excel<br />Select data to display<br />Click Insert tab on Ribbon<br />Click a button in Charts group or dialog box launcher<br />
  12. 12. Chart Types<br />
  13. 13. Understanding Line and Column Charts<br /><ul><li>Line chart- displays trends over time or by category.
  14. 14. Column chart- compares values across categories in a vertical orientation.</li></li></ul><li>Understanding Line and Column Charts<br />
  15. 15. Comparing Line andXY (Scatter) Charts<br /><ul><li>XY (Scatter) charts plot numeric values on both the X- and Y- axes based on the value of the data.
  16. 16. Whereas a line chart plots numeric values on one axis and category labels equidistantly on the other axis.</li></li></ul><li>Comparing Line andXY (Scatter) Charts<br />
  17. 17. Changing the Chart Source Data<br />
  18. 18. Results of Changing Source Data<br />
  19. 19. Specifying Chart Layout Options<br /><ul><li>Click chart to display Chart Tools contextual tabs
  20. 20. Chart Tools Layout Tab
  21. 21. Options grouped by Labels, Axes, and Background</li></li></ul><li>Specifying Chart Options<br />
  22. 22. Specifying Chart Options<br />
  23. 23. Understanding Area and Pie Charts<br /><ul><li>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. 24. Pie chart - displays the percentage contribution that each category makes to a whole or 100%.</li></li></ul><li>Column Charts and Area Charts<br />
  25. 25. Selecting Pie Chart Source Data<br />
  26. 26. Pie Charts<br />
  27. 27. Formatting Data Labels<br />
  28. 28. Working with 3-D Charts<br />2-D Line chart<br />3-D Line chart<br />2-D Column chart<br />3-D Column chart<br />
  29. 29. Chapter 3<br />Succeeding in Business with Microsoft Office Excel 2007: A Problem-Solving Approach <br />28<br />Level 1 Summary<br />Using charts to illustrate quantitative information adds visual analysis to problem solving<br />Tufte’s guiding principles on creation of graphics<br />How choice of chart type can influence viewer’s perception of information presented<br />Differences between main chart types<br />Different interpretation of data can result from use of different chart type<br />
  30. 30. Level 2 Objectives:Evaluating Chart Sub-Types<br />Examining Sub-Types For Various Chart Types<br />Evaluate the stacked and 100% stacked sub-types<br />Explore the Pie of Pie and Bar of Pie sub-types<br />Create various stock charts to display financial data<br />Clarify data with trendlines and moving averages<br />
  31. 31. Examining Sub-typesfor Various Chart Types<br />
  32. 32. Adding Things Up:Stacked Chart Options<br />Original area chart<br />Stacked area chart<br />Stacked column chart<br />Stacked line chart<br />
  33. 33. Summing to 100%:Alternatives to Pie Charts<br />Original area chart<br />100% stacked area chart<br />100% stacked column chart<br />100% stacked line chart<br />
  34. 34. Summing to 100%:Alternatives to Pie Charts<br />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.<br />
  35. 35. Slicing the Pie Too Thin: Summarizing Too Much Detail in Pie Charts<br />An excessive number of pie slices makes the chart cluttered and confusing.<br />
  36. 36. Pie of Pie and Bar of Pie Chart Sub-Types<br />Decrease number of pie segments to improve visual display of data<br />Use Format Data Series dialog box to select options for splitting data series<br />Position<br />Value<br />Percent Value<br />Custom<br />
  37. 37. Pie of Pie Sub-Type<br />
  38. 38. Using Format Data Series to Change the Format<br />
  39. 39. Using Format Data Series to Change the Format<br />
  40. 40. Applied Formatting Changes<br />
  41. 41. Doughnut Charts<br />Show individual percentages contained in a pie chart for more than one series<br />
  42. 42. Doughnut Charts<br />
  43. 43. Monitoring a Businesswith Stock Charts<br />Excel stock reporting charts are somewhat based on the candlestick plot format<br />Stock chart sub-types<br />High-Low-Close<br />Open-High-Low-Close<br />Volume-High-Low-Close<br />Volume-Open-High-Low-Close<br />
  44. 44. Sample High-Low-Close Chart<br />
  45. 45. Sample Open-High-Low-Close Chart<br />
  46. 46. Sample Volume-High-Low-Close Chart<br />
  47. 47. Sample Volume-Open-High-Low-Close Chart<br />
  48. 48. Adding Trendlinesand Moving Averages<br />Trendlines<br />Graphically illustrate trends in data using a statistical technique known as regression<br />Moving average line<br />Used to smooth out the data, making it easier to spot trends<br />
  49. 49. Adding Trendlinesand Moving Averages<br />
  50. 50. V-O-H-L-C Summary Chart<br />
  51. 51. Level 2 Summary<br />Chart sub-types for line, column, and area charts (stacked and 100% stacked)<br />Pie of Pie and Bar of Pie chart sub-types<br />Sub-types of stock charts<br />Clarifying data in stock charts using trendlines and moving averages<br />
  52. 52. Level 3 Objectives:Exploring More AdvancedChart Types<br />Understand and evaluate radar charts<br />Understand and evaluate bubble charts<br />Compare a bubble chart with a 3-D column chart<br />Create and customize a doughnut chart<br />Explore and customize a dashboard chart<br />
  53. 53. Evaluating the Effectiveness of Radar, Bubble, and Dashboard Charts<br />
  54. 54. Understanding Radar Charts<br />The straight lines that radiate out from the center represent categories.<br />
  55. 55. Plotting 3-D Data in Two Axes: Bubble Charts Versus3-D Column Charts<br />
  56. 56. Sample Bubble Chart<br />The market share of each shoe style is represented by the size of the bubbles.<br />
  57. 57. Solving Bubble Chart Problems<br />
  58. 58. Solving Bubble Chart Problems<br />
  59. 59. Creating a Management Dashboard<br />Build a dashboard chart<br />Define the normal operating range<br />Create the value indicator<br />Create the doughnut chart<br />Add digital values to the chart<br />
  60. 60. Build a Dashboard Chart<br />
  61. 61. Define the Normal Operating Range<br />
  62. 62. Level 3 Summary<br />More advanced chart types<br />Radar charts<br />Bubble charts<br />How to combine chart types within the same chart to build a management dashboard<br />
  63. 63. Chapter Summary<br />Charts offer the opportunity to add visual analysis to problem solving<br />Chart types and their differences including<br />Line<br />Column<br />Bar<br />Area<br />Pie<br />XY (Scatter)<br />
  64. 64. Chapter Summary<br />Chart sub-types further summarize the data being presented<br />Advanced chart types such as radar and bubble charts<br />
  65. 65. Chapter Summary<br />