In Konnectify, a filter tool is an essential feature used to manage, sort, and refine large sets of data by specifying certain conditions or criteria. 

Essentially, the filter tool helps you narrow down the information displayed, making it easier to analyze and work with relevant subsets of your data, rather than being overwhelmed by an entire dataset.

Purpose of the Filter Tool:

• Data Segmentation

• Efficiency in Decision-Making

• Customization
  
  

Common Uses:

1. Time-Based Filters: For example, if you have data with timestamps or dates, you can filter by specific time periods (e.g., data from the last week, or from a specific month or year).
   
   

2. Numeric Ranges: If your data involves numerical values (e.g., sales figures, stock levels, or ratings), you can filter by setting a range (e.g., sales greater than $1000 or less than $500).
   
   

3. Categorical Filters: When dealing with categories, such as types of products, customer segments, or service types, the filter tool can display only those entries that belong to a specific category (e.g., filtering by “electronics” or “premium customers”).
   
   

4. Text-Based Filters: If your data includes textual information (e.g., names, descriptions, or locations), filters can be applied to show records containing certain keywords or phrases (e.g., filtering for all records that mention “New York”).

Step 1:Click the "+" Menu Between the Nodes:

• In Konnectify, look for the "+" icon located between the nodes where you want to add a filter.
  
  

• Click on this "+" icon to create a connection or to begin setting a filter.

Step 2: Click the Funnel-Like Menu:

• After clicking the "+" menu, you’ll see a funnel-like icon that represents the filter options.
  
  

• Click on this funnel icon to open the filter settings.
  
  

In Konnectify, the filter tool offers two powerful options to control how conditions are applied to your data: "Match All" and "Match Any". These options are crucial when you're filtering data based on multiple conditions, as they determine how the filter evaluates and displays the results. Here’s a breakdown of both options:

1. Match All

• The "Match All" option applies an AND logic to the filter conditions. This means that for the filter to apply, all of the conditions you set must be true simultaneously.
  
  

• Use case: If you have multiple criteria to apply, and you want to see data that satisfies every condition, use Match All.

2. Match Any

The "Match Any" option applies an OR logic to the filter conditions. This means that for the filter to apply, any of the conditions you set needs to be true.

Use case: If you have multiple criteria and you want to see data that meets at least one of those conditions, use Match Any. 

Filter By Group

In Konnectify, the "Filter by Group" option is a powerful feature designed to enhance the way users manage and organize their data. This option allows users to apply filters to groups of data based on certain conditions, giving them greater flexibility and precision when querying or viewing data.

AND/OR Conditions: When setting up a filter, Konnectify gives users the flexibility to choose how conditions within the filter should be applied. You can use AND or OR operators to control the logic behind how filters are applied across groups.

• AND Condition: When you select the AND condition, all of the criteria you set must be true for the filter to be applied. For instance, if you group by region and status, and then apply a filter with an AND condition that specifies "Region = East" AND "Status = Active," only data that meets both criteria will be included.
  
  

• OR Condition: If you choose the OR condition, the filter will be applied if any of the criteria are true. For example, if you set a filter with the condition "Region = East" OR "Region = West," data from either region will be included, regardless of the other filter's result.

Step 3: Access the Filter Options:

• Once the funnel icon is clicked, the filter options will appear. Here, you can define the filter conditions for the data you're working with.
  
  

• Choose the attribute you want to filter by (e.g., status, region, type) and define the filtering conditions (e.g., equals, greater than, contains).
  
  

• Additionally, you can choose between the AND or OR operators to combine multiple filter conditions, depending on how you want the filter to work.