fixed visualising chipo exercise

07_Visualization/Chipotle/Solutions.ipynb

@@ -50,11 +50,7 @@
    "execution_count": 2,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "url = 'https://raw.githubusercontent.com/justmarkham/DAT8/master/data/chipotle.tsv'\n",
-    "    \n",
-    "chipo = pd.read_csv(url, sep = '\\t')"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -214,9 +210,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "chipo.head(10)"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -243,30 +237,7 @@
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "# get the Series of the names\n",
-    "x = chipo.item_name\n",
-    "\n",
-    "# use the Counter class from collections to create a dictionary with keys(text) and frequency\n",
-    "letter_counts = Counter(x)\n",
-    "\n",
-    "# convert the dictionary to a DataFrame\n",
-    "df = pd.DataFrame.from_dict(letter_counts, orient='index')\n",
-    "\n",
-    "# sort the values from the top to the least value and slice the first 5 items\n",
-    "df = df[0].sort_values(ascending = True)[45:50]\n",
-    "\n",
-    "# create the plot\n",
-    "df.plot(kind='bar')\n",
-    "\n",
-    "# Set the title and labels\n",
-    "plt.xlabel('Items')\n",
-    "plt.ylabel('Number of Times Ordered')\n",
-    "plt.title('Most ordered Chipotle\\'s Items')\n",
-    "\n",
-    "# show the plot\n",
-    "plt.show()"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -304,23 +275,7 @@
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "# create a list of prices\n",
-    "chipo.item_price = [float(value[1:-1]) for value in chipo.item_price] # strip the dollar sign and trailing space\n",
-    "\n",
-    "# then groupby the orders and sum\n",
-    "orders = chipo.groupby('order_id').sum()\n",
-    "\n",
-    "# creates the scatterplot\n",
-    "# plt.scatter(orders.quantity, orders.item_price, s = 50, c = 'green')\n",
-    "plt.scatter(x = orders.item_price, y = orders.quantity, s = 50, c = 'green')\n",
-    "\n",
-    "# Set the title and labels\n",
-    "plt.xlabel('Order Price')\n",
-    "plt.ylabel('Items ordered')\n",
-    "plt.title('Number of items ordered per order price')\n",
-    "plt.ylim(0)"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -353,9 +308,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}