About DP Wizard

DP Wizard guides you through the application of differential privacy. After selecting a local CSV, you'll be prompted to describe the analysis you need. Output options include:

  • A Jupyter notebook which demonstrates how to use the OpenDP Library.
  • A plain Python script.
  • Text and CSV reports.
File issue
Unit of privacy

How many rows of the CSV can one individual contribute to? This is the "unit of privacy" which will be protected.

Code sample: Unit of Privacy 

            

          

          
        

        

      

      

        

        

        
          

            

              
Columns

              

                
Select columns to calculate statistics on.


                

                  
                  

                    
                    
                  

                

              

              
            

          

          

            

              
Grouping

              

                
Select columns to group by, or leave empty
to calculate statistics across the entire dataset.


Groups aren't applied to the previews on this page
but will be used in the final release.


                

                  
                  

                    
                    
                  

                

              

              
            

          

          

            

              
Privacy Budget

              

                
What is your privacy budget for this release?
Many factors including the sensitivity of your data,
the frequency of DP releases,
and the regulatory landscape can be considered.
Consider how your budget compares to that of
other projects.




                

                  
                

                

                

                  
                    Code sample: Privacy Loss
                  
                  

                

              

              
            

          

          

            

              
Simulation