Revert changes in Data Anonymization article (#122)

* set default top_n to 20 for heatmap

* Hide Advanced: Hash fuctions in Data Anonymization notebook

- Hide the last 2 cells for now because they don't work as expected (maps all predictors as symbolic)
- Changed the way we get the path of SampleHDS.json. I think this way it is more understandable.

* revert changes in Data_Anon article

* Update Example_Data_Anonymization.ipynb

examples/hds/Example_Data_Anonymization.ipynb

@@ -27,10 +27,11 @@
                 "\n",
                 "import os  \n",
                 "import sys\n",
+                "import plotly.io as pio\n",
+                "pio.renderers.default = \"notebook_connected\"\n",
                 "\n",
-                "current_dir = os.getcwd()  \n",
-                "base_dir = os.path.dirname(os.path.dirname(current_dir))  \n",
-                "sys.path.append(base_dir)  "
+                "sys.path.append(\"../../../\")\n",
+                "sys.path.append('../../python')"
             ]
         },
         {
@@ -60,8 +61,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "json_file_path = os.path.join(base_dir, 'data', 'SampleHDS.json')  \n",
-                "pl.read_ndjson(json_file_path)"
+                "pl.read_ndjson('../../../../data/SampleHDS.json')"
             ]
         },
         {
@@ -78,8 +78,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "hds_path = os.path.join(base_dir, 'data')  \n",
-                "anon = DataAnonymization(hds_folder=hds_path, sample_percentage_schema_inferencing=0.99)"
+                "anon = DataAnonymization(hds_folder='../../../../data/')"
             ]
         },
         {
@@ -160,7 +159,7 @@
             "outputs": [],
             "source": [
                 "anon = DataAnonymization(\n",
-                "    hds_folder=hds_path,\n",
+                "    hds_folder=\"../../../../data/\",\n",
                 "    mask_ih_names=False,\n",
                 "    mask_outcome_values=False,\n",
                 "    mask_context_key_values=False,\n",