Nowadays, data is generated and multiplied constantly and at an accelerated pace. For this reason, there are platforms such as Tableau that highlight the value of information through multiple tools and data management systems.
Special data in Tableau is part of its information automation system and, thanks to it, you can save time and work in data classification and analysis. Therefore, in this post we will explain what the special data types are in Tableau.
What is special data?
Special data in Tableau refers to the types of data that the platform, through its artificial intelligence, automatically identifies and visualizes.
Once the data is in your database, the platform will automatically read and classify it according to the role it performs. There are different types of special data.
Special data types in Tableau
In this data exploration fantuan phone number and visualization platform, you will be able to find two special types of data depending on the role that the information serves:
Geographical fields
These are used to create maps based on the geographic role that characterizes them . Tableau will help you by automatically assigning a geographic role to fields with names of common locations found in your database, such as names of a country, state, territory, etc.
However, if due to careful observation or platform location errors, automatic reading cannot be carried out, you can also assign geographic roles manually.
To do this, you will have to select the “Geographic role” option in the “Dimensions” menu ; from here, a list will be display with the possible categories to classify the data such as: Country, Province, State or Postal Code, among others.
Dates
In the case of date splitting , you can power up your advanced reporting: how to integrate data for actionable insights count on Tableau to automatically recognize a date field in your data source for you if there is one. In addition, Tableau will create a hierarchy of dates that you can navigate by Year, Quarter, Month, Week, or Day to categorize your data . Furthermore, dates can treat as discrete or continuous fields.
- Continuous dates: These refer to a chronological progression of time. They start from a specific date and end with another specific date, stipulating a specific chronological measure. Continuous date charts are usually larger due to the proximity of the data.
- Discrete dates: Date data organized as discrete parts , independent of linear time. This type of data is also call cumulative dates.
Below, we share a comparative ar numbers chart that shows how each of the divisions are display by date:
The charts show how the specificity of discrete date data creates a more readable and spread-out chart than that of continuous dates. Therefore, we recommend that if you are looking for an analysis of continuous dates, the time frame you set should not be too long.
Learn more about the world of Big Data
In this post we have explained what special data is in Tableau and each of its divisions. Now you can start applying the exploration and visualization tools with each of these data to test your skills.
