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ENGR 1188 College of Engineering Engineering Education Innovation Center Microsoft Excel: Data Analysis & Graphing
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ENGR 1188 Objectives Use relative, absolute, and mixed cell referencing Identify the types of graphs and their proper formatting Create and format charts in Excel Create and interpret trend lines Rev: 20141009, EPCExcel Data Analysis2
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ENGR 1188 Review - Cell Reference: Relative Addressing Relative Cell Address – refer to the cell in the same relative position Ex: B12 – relative reference to value in cell B12, use fill handle to drag to cell C17 Rev: 20141009, EPCExcel Data Analysis3 Step 1Step 2Step 3
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ENGR 1188 Review - Cell Reference: Absolute Addressing Absolute Cell Address – always refer to the same cell Ex: $B$12 – absolute reference to value in cell B12, use fill handle to drag to cell C17 Rev: 20141009, EPCExcel Data Analysis4 Step 1 Step 2Step 3
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ENGR 1188 Graphing A graph is often the best way to present data so that it is easily understood. There are several types of graphs available to present data. These graphs serve different purposes. Rev: 20141009, EPCExcel Data Analysis5
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ENGR 1188 Graph Types: Categorical Data Rev: 20141009, EPCExcel Data Analysis6 Column Chart Pie ChartBar Range Chart
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ENGR 1188 Another Graph Type: Scatter Plot Rev: 20141009, EPCExcel Data Analysis7
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ENGR 1188 Categorical Charts vs. Scatter Plots Categorical charts have labels on the x- axis Scatter plots have values on the x-axis Rev: 20141009, EPCExcel Data Analysis8
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ENGR 1188 Example: Empirical Data Rev: 20141009, EPCExcel Data Analysis9 Line Chart (Categorical) Scatter Plot What happened?Missing Data! BCM 6/20/12
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ENGR 1188 Interpolating & Predicting Data Excel graphing allows you to graph data and then create an equation that best fits that data. You can choose the type of equation for Excel to use, such as linear, exponential, logarithmic, etc. With a best-fit equation you may be able to interpolate or predict data not included in the worksheet. This must be done with caution. Note: You must use X-Y Scatter Plots Rev: 20141009, EPCExcel Data Analysis10
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ENGR 1188 Example – Predicting Values YearBirthsDeaths 20023,167,7881,909,440 20033,612,2581,989,841 20043,680,5371,974,797 20053,669,1412,039,369 20063,756,5472,105,361 20073,909,5102,167,999 20084,158,2122,148,463 20094,110,9072,169,518 20104,065,0142,175,613 20114,000,2402,268,553 20123,952,7672,278,994 Rev: 20141009, EPCExcel Data Analysis11 Question: How many births and deaths would we expect in 2016?
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ENGR 1188 On your own, plot the data Rev: 20141009, EPCExcel Data Analysis12
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ENGR 1188 Note Rev: 20141009, EPCExcel Data Analysis13 Title Legend Even Increments Different Markers
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ENGR 1188 What is missing? Rev: 20141009, EPCExcel Data Analysis14 Axis Labels (with units!) Author, Date
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ENGR 1188 That’s a lot of zeroes Rev: 20141009, EPCExcel Data Analysis15
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ENGR 1188 Display Ordinate in Thousands Rev: 20141009, EPCExcel Data Analysis16
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ENGR 1188 Properly Formatted Graph Rev: 20141009, EPCExcel Data Analysis17 BCM 5/11/12
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ENGR 1188 Adding a Linear Trendline Rev: 20141009, EPCExcel Data Analysis18 1.Right click on any data point and select the ‘Add Trendline’ option. 2.Select ‘Linear’ as the regression type (note that there are other options available). 3.Select this option to show the equation of the line on the chart
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ENGR 1188 Trendline for Births Rev: 20141009, EPCExcel Data Analysis19 Note: You may need to re-format the trendline equation to improve resolution. You may also need to move the equation.
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ENGR 1188 Formatting Trendline Label Rev: 20141009, EPCExcel Data Analysis20 1.Select trendline label (left-click) 2.Right-click on edge of label box 3.Select ‘Format Trendline Label’
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ENGR 1188 Formatting Trendline Label Rev: 20141009, EPCExcel Data Analysis21 Select Number with 0 decimal places
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ENGR 1188 Results Using these equations, we predict for 2016: Births = 4,474,063 Deaths = 2,428,399 Do you see any problem with these predictions? What can we do to improve our estimate? Rev: 20141009, EPCExcel Data Analysis22 BCM 5/11/12
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ENGR 1188 Interpreting Charts Were traffic fatalities stable?Or were they cyclical? Rev: 20141009, EPCExcel Data Analysis23
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ENGR 1188 Interpreting Charts Maybe we should plot the number of fatalities per 100 million miles driven. Which of the three is correct? Rev: 20141009, EPCExcel Data Analysis24
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ENGR 1188 Formatting a Plot: One Data Set Title Axis Labels –Units! Even increments Author/Date Rev: 20141009, EPCExcel Data Analysis25 BCM 6/20/12
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ENGR 1188 Add Another Data Set Data markers different from each other Legend Rev: 20141009, EPCExcel Data Analysis26 BCM 6/20/12
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ENGR 1188 Questions? Rev: 20141009, EPCExcel Data Analysis27
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