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Excel Data Analysis For Dummies 5th edition [Pehme köide]

  • Formaat: Paperback / softback, 368 pages, kõrgus x laius x paksus: 231x185x25 mm, kaal: 476 g
  • Ilmumisaeg: 17-Feb-2022
  • Kirjastus: For Dummies
  • ISBN-10: 1119844428
  • ISBN-13: 9781119844426
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  • Formaat: Paperback / softback, 368 pages, kõrgus x laius x paksus: 231x185x25 mm, kaal: 476 g
  • Ilmumisaeg: 17-Feb-2022
  • Kirjastus: For Dummies
  • ISBN-10: 1119844428
  • ISBN-13: 9781119844426
Teised raamatud teemal:
Turn jumbles of numbers into graphics, insights, and answers with Excel

With Microsoft Excel, you can, well, excel at data analysis. And Excel Data Analysis For Dummies can help, with clear and easy explanations of the mountain of features for creating, visualizing, and analyzing data. PivotTables, charts, what-if analysis, statistical functions—it's all in here, with examples and ideas for Excel users of all skill levels.

This latest edition covers the most recent updates to Excel and Microsoft 365. You'll beef up your data skills and learn powerful techniques for turning numbers into knowledge. For students, researchers, and business professionals, Excel is the spreadsheet and data application of choice—and Dummies is the best choice for learning how to make those numbers sing.

  • Learn how to use Excel's built-in data analysis features and write your own functions to explore patterns in your data
  • Create striking charts and visualizations, and discover multiple ways to tell the stories hidden in the numbers
  • Clean up large datasets and identify statistical operations that will answer your questions
  • Perform financial calculations, database operations, and more—without leaving Excel

Excel Data Analysis For Dummies is the go-to resource for Excel users who are looking for better ways to crunch the numbers.

Introduction 1(4)
About This Book
1(1)
What You Can Safely Ignore
2(1)
Foolish Assumptions
2(1)
Icons Used in This Book
3(1)
Beyond the Book
3(1)
Where to Go from Here
4(1)
Part 1: Getting Started With Data Analysis 5(108)
Chapter 1 Learning Basic Data-Analysis Techniques
7(24)
What Is Data Analysis, Anyway?
8(1)
Cooking raw data
8(1)
Dealing with data
8(1)
Building data models
9(1)
Performing what-if analysis
9(1)
Analyzing Data with Conditional Formatting
9(13)
Highlighting cells that meet some criteria
10(1)
Showing pesky duplicate values
11(2)
Highlighting the top or bottom values in a range
13(1)
Analyzing cell values with data bars
14(1)
Analyzing cell values with color scales
15(1)
Analyzing cell values with icon sets
16(1)
Creating a custom conditional-formatting rule
17(3)
Editing a conditional-formatting rule
20(1)
Removing conditional-formatting rules
21(1)
Summarizing Data with Subtotals
22(2)
Grouping Related Data
24(2)
Consolidating Data from Multiple Worksheets
26(5)
Consolidating by position
26(2)
Consolidating by category
28(3)
Chapter 2 Working with Data-Analysis Tools
31(24)
Working with Data Tables
32(5)
Creating a basic data table
32(2)
Creating a two-input data table
34(3)
Skipping data tables when calculating workbooks
37(1)
Analyzing Data with Goal Seek
37(2)
Analyzing Data with Scenarios
39(4)
Create a scenario
40(2)
Apply a scenario
42(1)
Edit a scenario
42(1)
Delete a scenario
43(1)
Optimizing Data with Solver
43(12)
Understanding Solver
43(1)
The advantages of Solver
44(1)
When should you use Solver?
44(2)
Loading the Solver add-in
46(1)
Optimizing a result with Solver
47(3)
Adding constraints to Solver
50(2)
Save a Solver solution as a scenario
52(3)
Chapter 3 Introducing Excel Tables
55(22)
What Is a Table and Why Should I Care?
55(2)
Building a Table
57(4)
Getting the data from an external source
58(1)
Converting a range to a table
58(2)
Basic table maintenance
60(1)
Analyzing Table Information
61(16)
Displaying simple statistics
61(2)
Adding a column subtotal
63(1)
Sorting table records
64(3)
Filtering table records
67(1)
Clearing a filter
68(1)
Turning off AutoFilter
68(1)
Applying a predefined AutoFilter
69(2)
Applying multiple filters
71(1)
Applying advanced filters
72(5)
Chapter 4 Grabbing Data from External Sources
77(22)
What's All This about External Data?
77(2)
Exporting Data from Other Programs
79(1)
Importing External Data into Excel
80(10)
Importing data from an Access table
80(1)
Importing data from a Word table
81(1)
Introducing text file importing
82(1)
Importing a delimited text file
83(1)
Importing a fixed-width text file
84(2)
Importing data from a web page
86(2)
Importing an XML file
88(2)
Querying External Databases
90(9)
Defining a data source
91(3)
Querying a data source
94(5)
Chapter 5 Analyzing Table Data with Functions
99(14)
The Database Functions: Some General Remarks
100(1)
Retrieving a Value from a Table
101(1)
Summing a Column's Values
102(2)
Counting a Column's Values
104(1)
Averaging a Column's Values
105(1)
Determining a Column's Maximum and Minimum Values
106(2)
Multiplying a Column's Values
108(1)
Deriving a Column's Standard Deviation
109(1)
Calculating a Column's Variance
110(3)
Part 2: Analyzing Data Using Pivottables And Pivotcharts 113(68)
Chapter 6 Creating and Using PivotTables
115(22)
Understanding PivotTables
116(2)
Exploring PivotTable Features
118(1)
Building a PivotTable from an Excel Range or Table
119(3)
Creating a PivotTable from External Data
122(3)
Building a PivotTable from Microsoft Query
122(1)
Building a PivotTable from a new data connection
123(2)
Refreshing PivotTable Data
125(1)
Refreshing PivotTable data manually
125(1)
Refreshing PivotTable data automatically
125(1)
Adding Multiple Fields to a PivotTable Area
126(1)
Pivoting a Field to a Different Area
127(1)
Grouping PivotTable Values
128(3)
Grouping numeric values
128(1)
Grouping date and time values
129(1)
Grouping text values
130(1)
Filtering PivotTable Values
131(6)
Applying a report filter
131(1)
Filtering row or column items
132(1)
Filtering PivotTable values
133(1)
Filtering a PivotTable with a slicer
134(3)
Chapter 7 Performing PivotTable Calculations
137(24)
Messing around with PivotTable Summary Calculations
138(11)
Changing the PivotTable summary calculation
138(2)
Trying out the difference summary calculation
140(2)
Applying a percentage summary calculation
142(2)
Adding a running total summary calculation
144(3)
Creating an index summary calculation
147(2)
Working with PivotTable Subtotals
149(2)
Turning off subtotals for a field
149(1)
Displaying multiple subtotals for a field
149(2)
Introducing Custom Calculations
151(3)
Formulas for custom calculations
151(1)
Checking out the custom calculation types
152(1)
Understanding custom calculation limitations
152(2)
Inserting a Custom Calculated Field
154(1)
Inserting a Custom Calculated Item
155(2)
Editing a Custom Calculation
157(1)
Deleting a Custom Calculation
158(3)
Chapter 8 Building PivotCharts
161(20)
Introducing the PivotChart
161(4)
Understanding PivotChart pros and cons
162(1)
Taking a PivotChart tour
163(1)
Understanding PivotChart limitations
164(1)
Creating a PivotChart
165(4)
Creating a PivotChart from a PivotTable
165(1)
Embedding a PivotChart on a PivotTable's worksheet
165(1)
Creating a PivotChart from an Excel range or table
166(3)
Working with PivotCharts
169(14)
Moving a PivotChart to another sheet
169(1)
Filtering a PivotChart
170(2)
Changing the PivotChart type
172(1)
Adding data labels to your PivotChart
173(1)
Sorting the PivotChart
174(1)
Adding PivotChart titles
175(2)
Moving the PivotChart legend
177(1)
Displaying a data table with the PivotChart
178(3)
Part 3: Discovering Advanced Data-Analysis Tools 181(98)
Chapter 9 Dealing with Data Models
183(20)
Understanding Excel Data Models
184(8)
Creating a relationship between tables
186(1)
Importing related external data tables
187(2)
Basing a PivotTable on multiple, related tables
189(3)
Managing a Data Model with Power Pivot
192(7)
Enabling the Power Pivot add-in
192(1)
Adding a table to the Data Model
193(1)
Importing related tables from an external data source
193(2)
Viewing table relationships
195(1)
Viewing relationship details
196(1)
Creating a relationship between tables with Power Pivot
197(2)
Transforming Data
199(1)
Creating a PivotTable or PivotChart from Your Data Model
200(3)
Chapter 10 Tracking Trends and Making Forecasts
203(24)
Plotting a Best-Fit Trend Line
204(2)
Calculating Best-Fit Values
206(2)
Plotting Forecasted Values
208(2)
Extending a Linear Trend
210(2)
Extending a linear trend using the fill handle
211(1)
Extending a linear trend using the Series command
211(1)
Calculating Forecasted Linear Values
212(2)
Plotting an Exponential Trend Line
214(2)
Calculating Exponential Trend Values
216(2)
Plotting a Logarithmic Trend Line
218(2)
Plotting a Power Trend Line
220(2)
Plotting a Polynomial Trend Line
222(1)
Creating a Forecast Sheet
223(4)
Chapter 11 Analyzing Data Using Statistics
227(18)
Counting Things
228(5)
Counting numbers
228(1)
Counting nonempty cells
229(1)
Counting empty cells
229(1)
Counting cells that match criteria
229(1)
Counting cells that match multiple criteria
230(1)
Counting permutations
231(1)
Counting combinations
232(1)
Averaging Things
233(3)
Calculating an average
233(1)
Calculating a conditional average
233(1)
Calculating an average based on multiple conditions
234(1)
Calculating the median
235(1)
Calculating the mode
235(1)
Finding the Rank
236(2)
Determining the Nth Largest or Smallest Value
238(2)
Calculating the nth highest value
238(1)
Calculating the nth smallest value
239(1)
Creating a Grouped Frequency Distribution
240(1)
Calculating the Variance
241(1)
Calculating the Standard Deviation
242(1)
Finding the Correlation
243(2)
Chapter 12 Analyzing Data Using Descriptive Statistics
245(16)
Loading the Analysis ToolPak
246(1)
Generating Descriptive Statistics
247(3)
Calculating a Moving Average
250(3)
Determining Rank and Percentile
253(2)
Generating Random Numbers
255(3)
Creating a Frequency Distribution
258(3)
Chapter 13 Analyzing Data Using Inferential Statistics
261(18)
Sampling Data
262(2)
Using the t-Test Tools
264(3)
Performing a z-Test
267(2)
Determining the Regression
269(2)
Calculating the Correlation
271(2)
Calculating the Covariance
273(1)
Using the Anova Tools
274(2)
Performing an f-Test
276(3)
Part 4: The Part Of Tens 279(38)
Chapter 14 Ten Things You Ought to Know about Statistics
281(12)
Descriptive Statistics Are Straightforward
282(1)
Averages Aren't So Simple Sometimes
282(1)
Standard Deviations Describe Dispersion
283(2)
An Observation Is an Observation
285(1)
A Sample Is a Subset of Values
285(1)
Inferential Statistics Are Cool But Complicated
285(2)
Probability Distributions Aren't Always Confusing
287(2)
Uniform distribution
287(1)
Normal distribution
288(1)
Parameters Aren't So Complicated
289(1)
Skewness and Kurtosis Describe a Probability Distribution's Shape
289(2)
Confidence Intervals Seem Complicated at First But Are Useful
291(2)
Chapter 15 Ten Ways to Analyze Financial Data
293(10)
Calculating Future Value
294(1)
Calculating Present Value
295(1)
Determining Loan Payments
296(1)
Calculating a Loan Payment's Principal and Interest
297(1)
Calculating Cumulative Loan Principal and Interest
297(1)
Finding the Required Interest Rate
298(1)
Determining the Internal Rate of Return
299(1)
Calculating Straight-Line Depreciation
300(1)
Returning the Fixed-Declining Balance Depreciation
300(1)
Determining the Double-Declining Balance Depreciation
301(2)
Chapter 16 Ten Ways to Raise Your PivotTable Game
303(14)
Turn the PivotTable Fields Task Pane On and Off
304(1)
Change the PivotTable Fields Task Pane Layout
304(2)
Display the Details Behind PivotTable Data
306(2)
Apply a PivotTable Style
308(1)
Create a Custom PivotTable Style
309(2)
Preserve PivotTable Formatting
311(1)
Rename the PivotTable
312(1)
Turn Off Grand Totals
312(2)
Reduce the Size of PivotTable Workbooks
314(1)
Use a PivotTable Value in a Formula
314(3)
Appendix: Glossary Of Data Analysis And Excel Terms 317(10)
Index 327
Paul McFedries is the owner of Logophilia Limited, a successful technical writing firm. He has 25 years experience writing instructional computer books and is the author of over 100 books that have sold a combined 4 million copies worldwide.