filmov
tv
Tableau tutorial: Data source filters in (String & Integers) Tableau Part - 1

Показать описание
#tableau #dataanalytics #dataanalysis #tableaufullcourse #tableaututorial #tableauclasses #tableaudesktop #tableauvisualization
In Tableau, there are different types of data source filters that you can use to control the data that is brought into your workbook. Here are some common types of data source filters in Tableau:
Range of Dates:
This filter allows you to filter data based on a specified date range. You can choose a start date and an end date to include only the data within that range.
Relative Date:
A relative date filter allows you to filter data based on a dynamic time range relative to the current date. For example, you can filter for the last 7 days, next month, etc.
Top N / Bottom N:
You can use these filters to include only the top or bottom N items from a given field. For example, you might want to show the top 10 products by sales.
Wildcard Match:
This filter allows you to filter data based on wildcard patterns. You can include or exclude data based on specific patterns or characters.
List of Values:
This filter lets you include or exclude specific values from a field. You can manually select the values you want to include or exclude.
Conditional Filters:
Conditional filters allow you to create more complex filters using conditions and logical operators. You can combine multiple conditions to filter the data.
Interactive Filters:
Tableau provides interactive filters that allow end-users to filter data dynamically while exploring a visualization. These can include drop-down lists, sliders, and other interactive elements.
Relative Filters:
These filters enable you to set up relationships between different fields, allowing you to create filters that are based on the relative values of other fields.
Top N / Bottom N by Field:
Similar to the basic Top N and Bottom N filters, but you can dynamically select a field to determine the top or bottom items based on the selected field's values.
Exclude All Values:
This filter type allows you to exclude all values of a particular field, effectively filtering them out of your analysis.
In Tableau, there are different types of data source filters that you can use to control the data that is brought into your workbook. Here are some common types of data source filters in Tableau:
Range of Dates:
This filter allows you to filter data based on a specified date range. You can choose a start date and an end date to include only the data within that range.
Relative Date:
A relative date filter allows you to filter data based on a dynamic time range relative to the current date. For example, you can filter for the last 7 days, next month, etc.
Top N / Bottom N:
You can use these filters to include only the top or bottom N items from a given field. For example, you might want to show the top 10 products by sales.
Wildcard Match:
This filter allows you to filter data based on wildcard patterns. You can include or exclude data based on specific patterns or characters.
List of Values:
This filter lets you include or exclude specific values from a field. You can manually select the values you want to include or exclude.
Conditional Filters:
Conditional filters allow you to create more complex filters using conditions and logical operators. You can combine multiple conditions to filter the data.
Interactive Filters:
Tableau provides interactive filters that allow end-users to filter data dynamically while exploring a visualization. These can include drop-down lists, sliders, and other interactive elements.
Relative Filters:
These filters enable you to set up relationships between different fields, allowing you to create filters that are based on the relative values of other fields.
Top N / Bottom N by Field:
Similar to the basic Top N and Bottom N filters, but you can dynamically select a field to determine the top or bottom items based on the selected field's values.
Exclude All Values:
This filter type allows you to exclude all values of a particular field, effectively filtering them out of your analysis.