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 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
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
Chart Types Covered in this Chapter Area Bubble Column Doughnut Line Pie Radar Stock XY (Scatter)
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
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.
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.
Working with 3-D Charts 2-D Line chart 3-D Line chart 2-D Column chart 3-D Column chart
Chapter 3 Succeeding in Business with Microsoft Office Excel 2007: A Problem-Solving Approach 28 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
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
Adding Things Up:Stacked Chart Options Original area chart Stacked area chart Stacked column chart Stacked line chart
Summing to 100%:Alternatives to Pie Charts Original area chart 100% stacked area chart 100% stacked column chart 100% stacked line chart
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.
Slicing the Pie Too Thin: Summarizing Too Much Detail in Pie Charts An excessive number of pie slices makes the chart cluttered and confusing.
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 Position Value Percent Value Custom
Monitoring a Businesswith Stock Charts Excel stock reporting charts are somewhat based on the candlestick plot format Stock chart sub-types High-Low-Close Open-High-Low-Close Volume-High-Low-Close Volume-Open-High-Low-Close
Adding Trendlinesand Moving Averages Trendlines 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
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
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
Evaluating the Effectiveness of Radar, Bubble, and Dashboard Charts
Understanding Radar Charts The straight lines that radiate out from the center represent categories.
Plotting 3-D Data in Two Axes: Bubble Charts Versus3-D Column Charts
Sample Bubble Chart The market share of each shoe style is represented by the size of the bubbles.