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  1. Preface
  2. Getting Started Overview
  3. Part 1: Getting Started with Informatica Analyst
  4. Part 2: Getting Started with Informatica Developer
  5. Appendix A: Frequently Asked Questions

Data Quality Getting Started Guide

Data Quality Getting Started Guide

Task 4. View Column Profiling Results

Task 4. View Column Profiling Results

In this task, you view the column profiling results for the All_Customers data object and examine the values and patterns contained in the data.
  1. Click
    Window
    Show View
    Progress
    to view the progress of the All_Customers profile.
    The Progress view opens.
  2. When the Progress view reports that the All_Customers profile finishes running, click the
    Results
    view in the editor.
  3. In the
    Column Profiling
    section, click the
    CustomerTier
    column.
    The
    Details
    section displays all values contained in the CustomerTier column and displays information about how frequently the values occur in the data set.
  4. In the
    Details
    section, double-click
    Ruby
    .
    The Data Viewer runs and displays the records where the CustomerTier column contains the value
    Ruby
    .
  5. In the
    Column Profiling
    section, click the
    OrderAmount
    column.
  6. In the
    Details
    section, click the
    Show
    list and select
    Patterns
    .
    The
    Details
    section shows the patterns found in the OrderAmount column. The string
    9(5)
    in the Pattern column refers to records that contain five-figure order amounts. The string
    9(4)
    refers to records containing four-figure order amounts.
  7. In the
    Pattern
    column, double-click the string
    9(4)
    .
    The Data Viewer runs and displays the records where the OrderAmount column contains a four-figure order amount.
  8. In the
    Details
    section, click the
    Show
    list and select
    Statistics
    .
    The
    Details
    section shows statistics for the OrderAmount column including the average value, standard deviation, maximum and minimum lengths, the five most common values, and the five least common values.

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