diff --git a/datascience/tables.py b/datascience/tables.py
index 4516a5827..2f934a5db 100644
--- a/datascience/tables.py
+++ b/datascience/tables.py
@@ -582,10 +582,82 @@ def annotate(axis, ticks):
         self._visualize(labels, xticks, overlay, draw, annotate)
 
     def barh(self, column_for_categories, overlay=False, **vargs):
-        """Plot contents as a horizontal bar chart."""
+        """Plots horizontal bar charts for the table.
+
+        Each chart is categorized using the values in `column_for_categories`
+        and one chart is produced for every other column in the table.
+        A total of n - 1 charts are created where n is the number of columns
+        in the table.
+
+        Note that the order of the categories in the table is not guaranteed to
+        be preserved in the bar graph. Ex. `barh` on a table with "a", "b", "c"
+        as the rows in the `column_for_categories` may not output a bar graph
+        with the labels in that order.
+
+        Requires every column except for `column_for_categories` to be
+        numberical. If the columns contain other types, a `ValueError` is
+        raised.
+
+        Args:
+            column_for_categories (str): The name to use for the bar chart
+                categories
+
+        Kwargs:
+            overlay (bool): If True, creates one chart with n - 1 bars for each
+                category, one for each column other than `column_for_categories`
+                (instead of the default behavior of creating n - 1 charts).
+                Also adds a legend that matches each bar color to its column.
+
+            vargs: Additional arguments that get passed into :func:plt.barh.
+                See http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.barh
+                for additional arguments that can be passed into vargs. These
+                include: `linewidth`, `xerr`, `yerr`, and `log`, to name a few.
+
+        Returns:
+            None
+
+        Raises:
+            ValueError: The Table contains non-numerical values in columns
+            other than `column_for_categories`
+
+        >>> furniture_table
+        Type of furniture | Count
+        chairs            | 6
+        tables            | 1
+        desks             | 2
+
+        >>> furniture_table.barh('Type of furniture')
+        <bar graph with chairs, tables, desks as the categories and bars of
+        length 6, 1, 2, respectively>
+
+        >>> furniture_table.barh('Count')
+        ValueError: The column 'Type of furniture' contains non-numerical
+        values. A bar graph cannot be drawn for this table.
+
+        >>> foo_table
+        Type of furniture | Count | Other col
+        chairs            | 6     | 10
+        tables            | 1     | 20
+        desks             | 2     | 30
+
+        >>> foo_table.barh('Type of furniture')
+        <bar graph with Type of furniture as categories and Count values>
+        <bar graph with Type of furniture as categories and Other col values>
+
+        >>> foo_table.barh('Type of furniture', overlay=True)
+        <bar graph with Type of furniture as categories and Count + Other col as
+        the two bars for each category>
+        """
         options = self.default_options.copy()
         options.update(vargs)
+
         yticks, labels = self._split(column_for_categories)
+        for label in labels:
+            if any(isinstance(cell, np.flexible) for cell in self[label]):
+                raise ValueError("The column '{0}' contains non-numerical "
+                    "values. A bar graph cannot be drawn for this table."
+                    .format(label))
+
         index = np.arange(self.num_rows)
         margin = 0.1
         width = 1 - 2 * margin
@@ -667,7 +739,48 @@ def pivot_hist(self, pivot_column_label, value_column_label, overlay=False, **va
         return t
 
     def hist(self, overlay=False, **vargs):
-        """Draw histograms of all columns."""
+        """Plots one histogram for each column in the table.
+
+        Requires all columns in the table to contain numerical values only.
+        If the columns contain other types, a ValueError is raised.
+
+        Kwargs:
+            overlay (bool): If True, plots 1 chart with all the histograms
+                overlaid on top of each other (instead of the default behavior of
+                one histogram for each column in the table). Also adds a legend
+                that matches each bar color to its column.
+
+            vargs: Additional arguments that get passed into :func:plt.hist.
+                See http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist
+                for additional arguments that can be passed into vargs. These
+                include: `bins`, `range`, `normed`, `cumulative`, and
+                `orientation`, to name a few.
+
+        Returns:
+            None
+
+        Raises:
+            ValueError: The Table contains non-numerical values
+
+        >>> table
+        count | points
+        9     | 1
+        3     | 2
+        3     | 2
+        1     | 10
+
+        >>> table.hist()
+        <histogram of values in count>
+        <histogram of values in points>
+        """
+        # Check for non-numerical values and raise a ValueError if any found
+        # TODO(sam): Is a ValueError the right thing to raise?
+        for col in self:
+            if any(isinstance(cell, np.flexible) for cell in self[col]):
+                raise ValueError("The column '{0}' contains non-numerical "
+                    "values. A histogram cannot be drawn for this table."
+                    .format(col))
+
         n = len(self)
         colors = list(itertools.islice(itertools.cycle(('b', 'g', 'r')), n))
         if overlay: