Tableau Data Quality Problems: Diagnosing and Fixing Your Data Issues

Data quality problems can occur in Tableau when the data used for analysis is incorrect, incomplete, or inconsistent. These problems can lead to incorrect or misleading insights, and can be difficult to identify and fix. Here are some common data quality problems that you may encounter in Tableau:

1. Missing or null values: Missing or null values in your data can lead to incomplete or inaccurate analysis. You may need to fill in missing values with appropriate estimates or remove rows with null values to ensure that your analysis is accurate.
2. Inconsistent data formats: If your data has inconsistent formats, it can be difficult to perform analysis or create visualizations. You may need to clean and transform your data to ensure that it is consistent.
3. Duplicate data: Duplicate data can lead to incorrect or inflated results in your analysis. You may need to deduplicate your data to ensure that it is accurate.
4. Incorrect data: Incorrect data can lead to incorrect insights and conclusions. You may need to validate and correct your data to ensure that it is accurate.

To address data quality problems in Tableau, you can use a number of tools and techniques, such as data cleansing, data transformation, and data validation. It is important to carefully assess the quality of your data and take steps to ensure that it is accurate and reliable before performing analysis or creating visualizations.

Finding erroneous data values that represent real-world entities, such as nation or airport names, is a common task while cleaning data. The process of manually validating data values or importing expected values from other data sources can be time-consuming and error-prone. 

The eight geographic roles that Tableau Desktop is aware of, as well as email addresses and URLs, are now recognised by Tableau PrepIn Tableau, the Data pane, we can rename fields to better suit our business needs. For instance, in Tableau, we can change the name of a data field from “Product Segment” in the data source to “Business Segment”. Additionally, user-created data fields are renameable.

The name of a field in the original data source will not change if it is renamed. It merely assigns it a unique name that will only display in Tableau workbooks. Any sort of data field, including dimensions, measurements, sets, and parameters, can be given a new name.