{"pkModReturnID":1,"fkModuleName":"add_noise","functionReturnName":"y_perturbed","functionReturnClass":"numeric","description":"The y-values, with noise added"}
{"pkModReturnID":2,"fkModuleName":"iris_cluster","functionReturnName":"returndf","functionReturnClass":"data.frame","description":"selected attributes and their assigned clusters"}
{"pkModReturnID":3,"fkModuleName":"make_linear_eq","functionReturnName":"x","functionReturnClass":"numeric","description":"Vector of x-values for dataset"}
{"pkModReturnID":4,"fkModuleName":"make_linear_eq","functionReturnName":"y","functionReturnClass":"numeric","description":"Vector of y-values for dataset"}
{"pkModReturnID":5,"fkModuleName":"poly_fit","functionReturnName":"degree","functionReturnClass":"numeric","description":"Degree of the fitted polynomial"}
{"pkModReturnID":6,"fkModuleName":"poly_fit","functionReturnName":"coeff","functionReturnClass":"numeric","description":"The coefficients of the fitted polynomial"}
{"pkModReturnID":7,"fkModuleName":"single_column_plot","functionReturnName":"selectedCol","functionReturnClass":"string","description":"name of column selected"}
{"pkModReturnID":8,"fkModuleName":"single_column_plot","functionReturnName":"g","functionReturnClass":"ggproto","description":"plot of column distribution"}
{"pkModReturnID":9,"fkModuleName":"subset_rows","functionReturnName":"subset_data","functionReturnClass":"data.frame","description":"subset of original data"}
{"pkModReturnID":10,"fkModuleName":"upload_csv","functionReturnName":"my_df","functionReturnClass":"data.frame","description":"Dataframe of the uploaded csv"}
{"pkModReturnID":11,"fkModuleName":"upload_csv","functionReturnName":"filename","functionReturnClass":"character","description":"File name of the uploaded csv"}