03_Data_Generation
This directory contains 11 workflows.
01_Generating_clusters_with_Gaussian_distribution
Generating Gaussian Clusters In this workflow, each cluster is based on three Gaussian distributed values, which form the final cluster. The workflow […]
02_Parallel_Generation_of_a_Data_Set_containing_Clusters
Generating gaussian clusters in parallel Similar to the workflow "Generating Gaussian Clusters", this workflow generates three clusters with three […]
03_Data_generation_model_example
Data Generation Example: Supermodels This workflow generates a sample model database. Each model is assigned a birthdate, hair color, and height. […]
04_Generating_random_missing_values_in_an_existing_data_set
Generating Missing Values in Existing Dataset This workflow shows how missing values can be very randomly added to the cells of a column. First […]
05_Generation_of_data_set_with_more_complex_cluster_structure
Generating Artificial-shaped Clusters This workflow generates three types of cluster with more complex structures (boomerang, T-shape, cup). […]
06_Random_combination_of_two_sets_of_data
Random combination of data tables This workflow combines two tables randomly. Here, the rows of table 1 are randomly filled with rows from table […]
07_Splitting_data_and_rejoining_for_manipulating_only_subpart
Splitting and Rejoining When manipulating data there are always things that are done per nominal value. This can be applied as demonstrated here: The […]
08_Generating_data_sets_containing_association_rules
Generating artificial association rules into existing shopping baskets This workflows takes an existing set of shopping baskets. These baskets are […]
09_Generating_a_Shopping_Market_Data_Set
Shopping Basket Generation This workflow shows an example on how to generate a whole shopping basket, how to use existing information for it, and how […]
10_Advantages_of_Quasi_Random_Sequence_Generation
This workflow shows the advantage of using quasi random generation for the use of multidimensional numerical data generation. As seen in the final output, […]