The Algorithm Properties define dataset and algorithm tasks along with the data fields associated with them. They are displayed to the right of the canvas when you select a reader or an algorithm.

Dataset Properties

Dataset properties are called as Reader Properties. They display Task Name and Data Fields as shown in the figure below. The data fields are the column names present in the dataset. You are required to select the appropriate Data Fields that you want to use for your analysis.
The figure given below is an example of Dataset Properties. Here, COVID – 19 INDIA is the Task Name (which is editable) which is the name of the dataset (also called as Reader) and Sno, Date, Time, and few more are selected as Data Fields. You can select single or multiple data fields as required.

Algorithm Properties

Algorithm Properties are called as Data Management Properties. They show Task Name and Features associated with it. The Features are different data fields that you can select, which depend on the connection of your dataset and algorithm. Also, there are different parameters that you need to provide before you run the algorithm. These parameters are algorithm specific and vary with every algorithm. For more information on algorithms, refer to Algorithm Reference Guide.
The figure given below is an example of Algorithm Properties. It is a simple Sorting algorithm. Here, Sorting is the Task Name (which is editable) which is the name of the algorithm. Features are the data fields that are displayed depending on the connected dataset. Here, ObservationDate and Confirmed are the data fields selected from the COVID – 19 INDIA dataset.

Using Features, you can select the required data fields that you want to sort. Hover over the feature and use the Gear icon () to select the parameters, which in this case is ascending or descending order.