diff --git a/1_data_cleaning.ipynb b/1_data_cleaning.ipynb index b89c90e..4b60f7f 100644 --- a/1_data_cleaning.ipynb +++ b/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." ] diff --git a/cleaning_utils.py b/utils.py similarity index 100% rename from cleaning_utils.py rename to utils.py