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Merged
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Feb 27, 2017
Merged

changed solutions to utilize pandas functionality #5

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73 changes: 47 additions & 26 deletions 01_Getting_&_Knowing_Your_Data/Chipotle/Exercise_with_Solutions.ipynb
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -473,7 +473,26 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 13. How much was the revenue for the period in the dataset?"
"### Step 13. Turn the item price into a float"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"dollarizer = lambda x: float(x[1:-1])\n",
"chipo.item_price = chipo.item_price.apply(dollarizer)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How much was the revenue for the period in the dataset?"
]
},
{
Expand All @@ -484,28 +503,25 @@
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The revenue of the period was: $34500.16\n"
]
"data": {
"text/plain": [
"34500.16000000046"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create a list of prices\n",
"prices = [float(value[1:-1]) for value in chipo.item_price] # strip the dollar sign and trailing space\n",
"\n",
"total = sum(prices) #sum the items\n",
"\n",
"\n",
"print(\"The revenue of the period was: \" + \"${0:.2f}\".format(total))"
"chipo.item_price.sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How many orders were made in the period?"
"### Step 15. How many orders were made in the period?"
]
},
{
Expand All @@ -527,15 +543,14 @@
}
],
"source": [
"orders = len((set([order for order in chipo.order_id])))\n",
"orders"
"chipo.order_id.value_counts().count()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 15. What is the average amount per order?"
"### Step 16. What is the average amount per order?"
]
},
{
Expand All @@ -546,24 +561,30 @@
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The average order is: $18.81\n"
]
"data": {
"text/plain": [
"18.811428571428689"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"avg_order = total / orders\n",
"order_grouped = chipo.groupby(by=['order_id']).sum()\n",
"order_grouped.mean()['item_price']\n",
"\n",
"# Or \n",
"\n",
"print \"The average order is: $%s\" % round(avg_order, 2)"
"#chipo.groupby(by=['order_id']).sum().mean()['item_price']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 16 How many different items are sold?"
"### Step 17. How many different items are sold?"
]
},
{
Expand All @@ -585,7 +606,7 @@
}
],
"source": [
"len(chipo.item_name.unique())"
"chipo.item_name.value_counts().count()"
]
}
],
Expand Down
24 changes: 20 additions & 4 deletions 01_Getting_&_Knowing_Your_Data/Chipotle/Exercises.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,23 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 13. How much was the revenue for the period in the dataset?"
"### Step 13. Turn the item price into a float"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How much was the revenue for the period in the dataset?"
]
},
{
Expand All @@ -213,7 +229,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How many orders were made in the period?"
"### Step 15. How many orders were made in the period?"
]
},
{
Expand All @@ -229,7 +245,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 15. What is the average amount per order?"
"### Step 16. What is the average amount per order?"
]
},
{
Expand All @@ -245,7 +261,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 16. How many different items are sold?"
"### Step 17. How many different items are sold?"
]
},
{
Expand Down
50 changes: 36 additions & 14 deletions 01_Getting_&_Knowing_Your_Data/Chipotle/Solutions.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -441,7 +441,23 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 13. How much was the revenue for the period in the dataset?"
"### Step 13. Turn the item price into a float"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How much was the revenue for the period in the dataset?"
]
},
{
Expand All @@ -452,11 +468,14 @@
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The revenue of the period was: $34500.16\n"
]
"data": {
"text/plain": [
"34500.16000000046"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
Expand All @@ -465,7 +484,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 14. How many orders were made in the period?"
"### Step 15. How many orders were made in the period?"
]
},
{
Expand All @@ -492,7 +511,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 15. What is the average amount per order?"
"### Step 16. What is the average amount per order?"
]
},
{
Expand All @@ -503,11 +522,14 @@
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The average order is: $18.81\n"
]
"data": {
"text/plain": [
"18.811428571428689"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
Expand All @@ -516,7 +538,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 16 How many different items are sold?"
"### Step 17. How many different items are sold?"
]
},
{
Expand Down