Accurately describes the table in 7.1.3. (#178)

chapters/07/1/Visualizing_Categorical_Distributions.ipynb

@@ -205,9 +205,9 @@
     "## Grouping Categorical Data\n",
     "To construct the table `icecream`, someone had to look at all 30 cartons of ice-cream and count the number of each flavor. But if our table does not already include frequencies, we have to compute the frequencies before we can draw a bar chart. Here is an example where this is necessary.\n",
     "\n",
-    "The table `top` consists of U.S.A.'s top grossing movies of all time, as of 2017. The first column contains the title of the movie; *Star Wars: The Force Awakens* has the top rank, with a box office gross amount of more than 900 million dollars in the United States. The second column contains the name of the studio that produced the movie. The third contains the domestic box office gross in dollars, and the fourth contains the  gross amount that would have been earned from ticket sales at 2016 prices. The fifth contains the year in which the movie was released. \n",
+    "The table `top` consists of U.S.A.'s top grossing movies of all time, as of 2017. The first column contains the title of the movie; *Star Wars: The Force Awakens* has the top rank, with a box office gross amount of more than 900 million dollars in the United States. The second column contains the name of the studio that produced the movie. The third contains the domestic box office gross in dollars, and the fourth contains the gross amount that would have been earned from ticket sales at 2016 prices. The fifth contains the year in which the movie was released. \n",
     "\n",
-    "There are 200 movies on the list. Here are the top ten according to adjusted gross receipts."
+    "There are 200 movies on the list. Here are the top ten according to the gross receipts adjusted for 2016 ticket prices."
    ]
   },
   {