adding remaining datasets used in text

Author: andrewcstewart

fundamentals_of_data_science/datasets/__init__.py

@@ -2,15 +2,71 @@
 import pandas as pd
 
 
-def example():
+def imports_85():
     """
-    Returns the example dataset.
+    Returns the imports-85 dataset.
 
     Usage
     -----
         >>> import fundamentals_of_data_science as fun
-        >>> df = fun.datasets.example()
+        >>> df = fun.datasets.imports_85()
         >>> df.head()
     """
     filename = os.path.abspath(os.path.join(os.path.dirname(__file__), 'imports-85.data.csv'))
-    return(pd.read_csv(filename))
+    return(pd.read_csv(filename))
+
+
+def kc_house_data():
+    """
+    Returns the kc_house_data dataset.
+
+    Usage
+    -----
+        >>> import fundamentals_of_data_science as fun
+        >>> df = fun.datasets.kc_house_data()
+        >>> df.head()
+    """
+    filename = os.path.abspath(os.path.join(os.path.dirname(__file__), 'kc_house_data.csv'))
+    return(pd.read_csv(filename))
+
+
+def arsenic():
+    """
+    Returns the arsenic dataset.
+
+    Usage
+    -----
+        >>> import fundamentals_of_data_science as fun
+        >>> df = fun.datasets.arsenic()
+        >>> df.head()
+    """
+    filename = os.path.abspath(os.path.join(os.path.dirname(__file__), 'arsenic.wells.tsv'))
+    return(pd.read_csv(filename, delimeter="\t"))
+
+
+def child_iq():
+    """
+    Returns the child_iq dataset.
+
+    Usage
+    -----
+        >>> import fundamentals_of_data_science as fun
+        >>> df = fun.datasets.child_iq()
+        >>> df.head()
+    """
+    filename = os.path.abspath(os.path.join(os.path.dirname(__file__), 'child_iq.tsv'))
+    return(pd.read_csv(filename, delimeter="\t"))        
+
+
+def mesquite():
+    """
+    Returns the mesquite dataset.
+
+    Usage
+    -----
+        >>> import fundamentals_of_data_science as fun
+        >>> df = fun.datasets.mesquite()
+        >>> df.head()
+    """
+    filename = os.path.abspath(os.path.join(os.path.dirname(__file__), 'mesquite.tsv'))
+    return(pd.read_csv(filename, delimeter="\t"))