Rename the utilities module

1_data_cleaning.ipynb

@@ -30,7 +30,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2018-08-29 11:19:59 CEST\n",
+      "2018-08-29 13:46:44 CEST\n",
       "\n",
       "CPython 3.6.5\n",
       "IPython 6.5.0\n",
@@ -68,7 +68,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The *cleaning_utils.py* module defines helper dictionaries and lists that help with parsing the data types correctly, look up column descriptions, and refer to groups of data columns.\n",
+    "The *utils.py* module defines helper dictionaries and lists that help with parsing the data types correctly, look up column descriptions, and refer to groups of data columns.\n",
     "\n",
     "**Note:** the suffix \\_*COLUMNS* indicates a dictionary with all meta information on the provided data file and \\_*VARIABLES* a list with only the column names (i.e., the keys of the respective \\_*COLUMNS* dictionary)."
    ]
@@ -79,7 +79,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from cleaning_utils import (\n",
+    "from utils import (\n",
     "    ALL_COLUMNS,\n",
     "    ALL_VARIABLES,\n",
     "    LABEL_COLUMNS,  # groups nominal and ordinal\n",
@@ -139,7 +139,7 @@
     "\n",
     "**Note 1:** the data come with a lot of \"NA\" text strings that do **not** indicate missing data but, for example, the absence of a basement or a parking lot (see the linked data description).\n",
     "\n",
-    "**Note 2:** the mappings from column names to data types are encoded in the \"cleaning_utils.py\" module that defines the aforementioned helper dictionaries / lists.\n",
+    "**Note 2:** the mappings from column names to data types are encoded in the \"utils.py\" module that defines the aforementioned helper dictionaries / lists.\n",
     "\n",
     "**Note 3:** the Excel file with all the data is either loaded from the local dictionary (= \"cache\") or obtained fresh from the source."
    ]