Efnisyfirlit

• Cover
• Introduction
  • About This Book
  • What You Can Safely Ignore
  • Foolish Assumptions
  • Icons Used in This Book
  • Beyond the Book
  • Where to Go from Here
• Part 1: Getting Started with Data Analysis
  • Chapter 1: Learning Basic Data-Analysis Techniques
    • What Is Data Analysis, Anyway?
    • Analyzing Data with Conditional Formatting
    • Summarizing Data with Subtotals
    • Grouping Related Data
    • Consolidating Data from Multiple Worksheets
  • Chapter 2: Working with Data-Analysis Tools
    • Working with Data Tables
    • Analyzing Data with Goal Seek
    • Analyzing Data with Scenarios
    • Optimizing Data with Solver
  • Chapter 3: Introducing Excel Tables
    • What Is a Table and Why Should I Care?
    • Building a Table
    • Analyzing Table Information
  • Chapter 4: Grabbing Data from External Sources
    • What’s All This About External Data?
    • Exporting Data from Other Programs
    • Importing External Data into Excel
    • Querying External Databases
    • It's Sometimes a Raw Deal
  • Chapter 5: Scrub-a-Dub-Dub: Cleaning Data
    • Editing Your Imported Workbook
    • Cleaning Data with Text Functions
    • Using Validation to Keep Data Clean
  • Chapter 6: Analyzing Table Data with Functions
    • The Database Functions: Some General Remarks
    • Retrieving a Value from a Table
    • Summing a Column's Values
    • Counting a Column’s Values
    • Averaging a Column's Values
    • Determining a Column’s Maximum and Minimum Values
    • Multiplying a Column’s Values
    • Deriving a Column’s Standard Deviation
    • Calculating a Column’s Variance
• Part 2: Analyzing Data with PivotTables and PivotCharts
  • Chapter 7: Creating and Using PivotTables
    • Understanding PivotTables
    • Exploring PivotTable Features
    • Building a PivotTable from an Excel Table
    • Creating a PivotTable from External Data
    • Refreshing PivotTable Data
    • Adding Multiple Fields to a PivotTable Area
    • Pivoting a Field to a Different Area
    • Grouping PivotTable Values
    • Filtering PivotTable Values
  • Chapter 8: Performing PivotTable Calculations
    • Messing around with PivotTable Summary Calculations
    • Working with PivotTable Subtotals
    • Introducing Custom Calculations
    • Inserting a Custom Calculated Field
    • Inserting a Custom Calculated Item
    • Editing a Custom Calculation
    • Deleting a Custom Calculation
  • Chapter 9: Building PivotCharts
    • Introducing the PivotChart
    • Creating a PivotChart
    • Working with PivotCharts
• Part 3: Discovering Advanced Data Analysis Tools
  • Chapter 10: Tracking Trends and Making Forecasts
    • Plotting a Best-Fit Trend line
    • Calculating Best-Fit Values
    • Plotting Forecasted Values
    • Extending a Linear Trend
    • Calculating Forecasted Linear Values
    • Plotting an Exponential Trend Line
    • Calculating Exponential Trend Values
    • Plotting a Logarithmic Trend Line
    • Plotting a Power Trend Line
    • Plotting a Polynomial Trend Line
  • Chapter 11: Analyzing Data with Statistics
    • Counting Things
    • Averaging Things
    • Finding the Rank
    • Determining the Nth Largest or Smallest Value
    • Creating a Grouped Frequency Distribution
    • Calculating the Variance
    • Calculating the Standard Deviation
    • Finding the Correlation
  • Chapter 12: Analyzing Data with Descriptive Statistics
    • Loading the Analysis ToolPak
    • Generating Descriptive Statistics
    • Calculating a Moving Average
    • Determining Rank and Percentile
    • Generating Random Numbers
    • Creating a Frequency Distribution
  • Chapter 13: Analyzing Data with Inferential Statistics
    • Sampling Data
    • Using the t-Test Tools
    • Performing a z-Test
    • Determining the Regression
    • Calculating the Correlation
    • Calculating the Covariance
    • Using the Anova Tools
    • Performing an f-test
• Part 4: The Part of Tens
  • Chapter 14: Ten Things You Ought to Know about Statistics
    • Descriptive Statistics Are Straightforward
    • Averages Aren’t So Simple Sometimes
    • Standard Deviations Describe Dispersion
    • An Observation Is an Observation
    • A Sample Is a Subset of Values
    • Inferential Statistics Are Cool but Complicated
    • Probability Distributions Aren't Always Confusing
    • Parameters Aren't So Complicated
    • Skewness and Kurtosis Describe a Probability Distribution’s Shape
    • Confidence Intervals Seem Complicated at First, but Are Useful
  • Chapter 15: Ten Ways to Analyze Financial Data
    • Calculating Future Value
    • Calculating Present Value
    • Determining Loan Payments
    • Calculating a Loan Payment's Principal and Interest
    • Calculating Cumulative Loan Principal and Interest
    • Finding the Required Interest Rate
    • Determining the Internal Rate of Return
    • Calculating Straight-Line Depreciation
    • Returning the Fixed-Declining Balance Depreciation
    • Determining the Double-Declining Balance Depreciation
  • Chapter 16: Ten Ways to Raise Your PivotTable Game
    • Turn the PivotTable Fields Task Pane On and Off
    • Change the PivotTable Fields Task Pane Layout
    • Display the Details Behind PivotTable Data
    • Apply a PivotTable Style
    • Create a Custom PivotTable Style
    • Preserve PivotTable Formatting
    • Rename the PivotTable
    • Turn Off Grand Totals
    • Reduce the Size of PivotTable Workbooks
    • Use a PivotTable Value in a Formula
• Appendix: Glossary of Data Analysis and Excel Terms
• Index
• Author Bio
• Connect with Dummies
• End User License Agreement

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