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.
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 />
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 />
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 />
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 />
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 />
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 />
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 />
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.
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 />
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 />
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 />
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 />
Examining Sub-typesfor Various Chart Types<br />
Adding Things Up:Stacked Chart Options<br />Original area chart<br />Stacked area chart<br />Stacked column chart<br />Stacked line chart<br />
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 />
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 />
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 />
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 />
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 />
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 />
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 />
Evaluating the Effectiveness of Radar, Bubble, and Dashboard Charts<br />
Understanding Radar Charts<br />The straight lines that radiate out from the center represent categories.<br />
Plotting 3-D Data in Two Axes: Bubble Charts Versus3-D Column Charts<br />
Sample Bubble Chart<br />The market share of each shoe style is represented by the size of the bubbles.<br />
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 />
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 />
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 />
Chapter Summary<br />Chart sub-types further summarize the data being presented<br />Advanced chart types such as radar and bubble charts<br />