diff --git a/packages/python/plotly/plotly/data/__init__.py b/packages/python/plotly/plotly/data/__init__.py
index 9102677c9d6..7669c4588c3 100644
--- a/packages/python/plotly/plotly/data/__init__.py
+++ b/packages/python/plotly/plotly/data/__init__.py
@@ -3,7 +3,7 @@
 """
 
 
-def gapminder(datetimes=False, centroids=False, year=None):
+def gapminder(datetimes=False, centroids=False, year=None, pretty_names=False):
     """
     Each row represents a country on a given year.
 
@@ -24,10 +24,27 @@ def gapminder(datetimes=False, centroids=False, year=None):
         df["year"] = (df["year"].astype(str) + "-01-01").astype("datetime64[ns]")
     if not centroids:
         df = df.drop(["centroid_lat", "centroid_lon"], axis=1)
+    if pretty_names:
+        df.rename(
+            mapper=dict(
+                country="Country",
+                continent="Continent",
+                year="Year",
+                lifeExp="Life Expectancy",
+                gdpPercap="GDP per Capita",
+                pop="Population",
+                iso_alpha="ISO Alpha Country Code",
+                iso_num="ISO Numeric Country Code",
+                centroid_lat="Centroid Latitude",
+                centroid_lon="Centroid Longitude",
+            ),
+            axis="columns",
+            inplace=True,
+        )
     return df
 
 
-def tips():
+def tips(pretty_names=False):
     """
     Each row represents a restaurant bill.
 
@@ -36,7 +53,23 @@ def tips():
     Returns:
         A `pandas.DataFrame` with 244 rows and the following columns:
         `['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size']`."""
-    return _get_dataset("tips")
+
+    df = _get_dataset("tips")
+    if pretty_names:
+        df.rename(
+            mapper=dict(
+                total_bill="Total Bill",
+                tip="Tip",
+                sex="Payer Gender",
+                smoker="Smokers at Table",
+                day="Day of Week",
+                time="Meal",
+                size="Party Size",
+            ),
+            axis="columns",
+            inplace=True,
+        )
+    return df
 
 
 def iris():