Accessing and Analyzing Data With Microsoft Excel - download pdf or read online
By Paul Cornell
Become aware of tips on how to use Microsoft Excel and different Microsoft place of work instruments to entry and study the knowledge in spreadsheets, databases, and transaction processing platforms for higher company selection making.
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Extra resources for Accessing and Analyzing Data With Microsoft Excel
25. Returns a number rounded up to the nearest multiple that you specify. 25, 1) returns 16. This function, along with the FLOOR function described later, are ideal for rounding to specific financial increments, like eighths or quarters of points or dollars. From a group of cells, returns the number of cells that contain numbers. This function is helpful for ignoring cells that contain text values such as N/A or None. Contrast this function to the ISBLANK function described later. From a group of cells, returns the number of cells that match specific conditions.
10). 8. Add descriptions for each of these results in column E. For example, in cell E2 type Sum of All Room Service Charges. Compare your results to Figure 3-9. 42 Chapter 3: Analyzing Data with Microsoft Excel Chapter 3: Analyzing Data with Microsoft Excel 43 Figure 3-9: Summary of room service charges. What anomalies or trends do you notice based on this exercise? For example: • Some preferred customers had no room service charges in some months. • The average monthly room service charge was about 23 percent higher than midpoint.
34 Chapter 2: Basic Data Analysis Techniques Chapter 3: Analyzing Data with Microsoft Excel 35 Summary In this chapter, you learned • Sorting helps you find the highest or lowest values in a list of data records. • Summarizations help you find sums and averages of a list of data values. • Trending helps you understand how data changes, typically over time. • Filtering helps you find one or more data values or data records that match specified criteria. • Formatting data can help draw your eye to potential business anomalies.
Accessing and Analyzing Data With Microsoft Excel by Paul Cornell