code: def add_dirty_data(df):
      # change strings
      df.loc[
          df[df["type"] == "organic"].sample(frac=0.18).index, "type"
      ] = "Organic"
      df.loc[
          df[df["type"] == "organic"].sample(frac=0.01).index, "type"
      ] = "ORGANIC"
      # add duplicates
      df = pd.concat(
          [df, df.sample(frac=0.156)], axis=0, ignore_index=True
      )
      # add column with single value
      df["Is Ripe"] = True
      return df
  
imports: from deepchecks.tabular import datasets
  import pandas
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.suites import data_integrity
  from deepchecks.tabular.checks import IsSingleValue, DataDuplicates
label_desc: Use image node_id 1 for calling a global function with example usage: add_dirty_data(df) and returns: df