Skip to main content Skip to complementary content
Qlik Resources
Announcements
Loading SearchUnify's search If you need assistance with your product, please contact Qlik Support.
Qlik Customer Portal
Loading SearchUnify's search If you need assistance with your product, please contact Qlik Support.
Qlik Customer Portal

Creating a column analysis

This procedure describes the first steps for creating a column analysis.

You can find more details on the next steps in:

Procedure

  1. In the DQ Repository tree view, expand Data Profiling.
  2. Right-click the Analysis folder and select New Analysis.
  3. From the Column Analysis folder, select an option:
    Option Results
    Basic Column Analysis generate an empty column analysis where you can select the columns to analyze and manually assign the indicators on each column.

    For more information, see Creating a basic analysis on a database column.
    Discrete Data Analysis create a column analysis on numerical data preconfigured with the Bin Frequency and simple statistics indicators. You can then configure further the analysis or modify it in order to convert continuous data into discrete bins (ranges) according to your needs.

    For more information, see Analyzing discrete data.
    Nominal Values Analysis create a column analysis on nominal data preconfigured with indicators appropriate for nominal data, namely Value Frequency, Simple Statistics and Text Statistics indicators.

    For example results about these statistics, see Finalizing and executing the column analysis.
    Pattern Frequency Analysis create a column analysis preconfigured with the Pattern Frequency, Pattern Low Frequency and the row and null count indicators.

    This analysis can learn about patterns in your data. It shows frequent patterns and rare patterns so that you can identify quality issues more easily.

    For example results about these statistics, see Finalizing and executing the column analysis.
    Summary Statistics Analysis create a column analysis on numerical data preconfigured with the Summary Statistics and the row and null count indicators.

    This helps you to get a good idea of the shape of your numeric data by computing the range, the inter quartile range and the mean and median values.

    For an example of the use of Summary Statistics, see Setting system or user-defined indicators and Finalizing and executing the column analysis.
    Availability-noteDeprecated
    Semantic Discovery Analysis    		 create a column analysis preconfigured with indicators and patterns that best suite data after exploring the semantic categories of data columns and using related concepts from the semantic repository.

    For more information, see Semantic-aware analysis.
  4. Usually, the sequence of profiling data in one or multiple columns involves the following steps:
    1. Connecting to the data source. For more information, see Creating connections to data sources.
    2. Defining one or more columns on which to carry out data profiling processes.
      It will define the content, structure, and quality of the data included in the columns.
    3. Setting predefined system indicators or indicators defined by the user on the columns that need to be analyzed or monitored.
      These indicators will represent the results achieved through the implementation of different patterns.
    4. Adding to the column analyses the patterns against which you can define the content, structure, and quality of the data.

      For more information, see Adding a regular expression or an SQL pattern to a column analysis.

    5. Generating reports from these analyses and sharing the results among team members.
      These reports let you compare current and historical statistics to determine the improvement or degradation of data. For more information, see Reports.

What to do next

The Creating a basic analysis on a database column section explains the procedures to analyze the content of one or multiple columns in a database.

The Creating a basic column analysis on a file section explains the procedures to analyze columns in delimited files.

Talend Studio provides you with lock modes that allow you, if you are the first user to open an item, to lock that item and thus have the "read and write" rights. All other users who try to open the same item simultaneously will have a read-only access. For more information, see Lock principle.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – please let us know!

Leave your feedback here