Analyzing Data in Access

Now that you know how to organize the data into tables and how to use queries to interact with that data, Part IV highlights the tools and functionalities in Access 2016 that can drive more meaningful data analysis. Indeed, using Access for your data analysis needs can help you streamline your analytical processes, increase your productivity, and analyze the larger datasets.

Chapter 11 covers data transformation, providing examples of how to clean and shape raw data into staging areas. Chapter 12 provides in-depth instruction on how to create and utilize custom calculations in analysis; this chapter also shows you how to work with dates, using them in simple date calculations. Chapter 13 introduces you to some conditional analysis techniques that allow for the addition of business logic into analytical processes. Chapter 14 explores SQL syntax and some of the SQL-specific queries that can be leveraged to improve analytics. Chapter 15 introduces you to powerful subquery and domain aggregate functionality. Chapter 16 demonstrates many of the advanced statistical analyses that can be performed using subqueries and domain aggregate functions.

In This Part

1. Chapter 11
   Transforming Data in Access
2. Chapter 12
   Working with Calculations and Dates
3. Chapter 13
   Performing Conditional Analyses
4. Chapter 14
   Fundamentals of Using SQL
5. Chapter 15
   Subqueries and Domain Aggregate Functions
6. Chapter 16
   Running Descriptive Statistics in Access