main(config) functionĪ script must define a main() function that takes a single config argument. Use the Python script generator to define the generated data using an IronPython script. If you have a very long list of values, you may want to consider creating a CSV file with the list of values and then importing the values using the CSV generator to import the values. You can then browse to this file when you select the File List generator. The values will be imported from the list in a random order. You must first create a text file containing the list of values, with each value on a new line. Use the File List generator to import values from a text file. If you specify large files, or if you specify a large number of files, performance will be reduced. You can specify a search string to identify the files within the specified folder you want to use. Use the File Import generator to import the contents of files in a specified folder.įor example, if you specify a folder containing a number of images, each image is imported into a new row. (If you want to import data from a CSV file into an entire table or multiple columns in a table, you can use the Use existing data source table generation setting instead for details, see Mapping CSV files.)Ĭlick Browse to select the CSV file you want to use you then specify the delimiters to be used when importing the data, and select the column in the CSV file that you want to import. Use the CSV generator when you want to import data from a CSV file into a single column. ![]() Information about each of these generators is provided below.įor information about how to customize the generators, see Customizing existing generators. We are pleased to announce that Synthetic Data Showcase has been adopted by the UN International Organization for Migration ( IOM).SQL Data Generator provides the following generators in the Generic category for you to customize: Synthetic Data Showcase started as a project within our Tech Against Trafficking initiative, and we believe that its ability to improve the representation of at-risk groups can help us solve pressing societal problems and build a more resilient world. Capable of being easily customized to meet specific visualization goals, these dashboards enable rich and code-free analysis independent of data science expertise. The synthetic and aggregate data are automatically loaded into a Power BI interface for interactive, privacy-preserving data exploration. We enable the selection of a privacy resolution k that provides both a minimum reporting threshold and rounding precision to prevent disclosing small counts that can pose privacy risks. The synthetic data is complemented with precomputed aggregate data for reportable, short attribute combinations that appear in the sensitive dataset. ![]() Attribute combinations that do not meet this privacy resolution aren’t disclosed to prevent singling out individual data subjects or linking small groups of subjects to known individuals in the real world. ![]() ![]() The algorithm constructs synthetic records whose attribute combination values appear at least a pre-determined number of times, k, in the original, sensitive dataset. Synthetic datasets are produced using our concept of, and algorithm for, k -synthetic anonymity. Technical details for Synthetic Data Generator
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