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Correct mistake on Step11 of exercise World Food Facts
1 parent 496cdb6 commit 5867f6f

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-47
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3 files changed

+66
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‎01_Getting_&_Knowing_Your_Data/World Food Facts/Exercises.ipynb‎

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@@ -153,7 +153,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 11. Give me the product name of the 19th observation."
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"### Step 11. What is the product name of the 19th observation?"
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]
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},
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{

‎01_Getting_&_Knowing_Your_Data/World Food Facts/Exercises_with_solutions.ipynb‎

Lines changed: 33 additions & 24 deletions
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@@ -23,7 +23,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
@@ -42,11 +42,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"//anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2723: DtypeWarning: Columns (0,3,5,27,36) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" interactivity=interactivity, compiler=compiler, result=result)\n"
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]
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}
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],
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"source": [
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"food = pd.read_csv('/Users/guilhermeoliveira/Desktop/world-food-facts/FoodFacts.csv')"
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]
@@ -60,7 +69,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {
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"collapsed": false
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},
@@ -275,7 +284,7 @@
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"[5 rows x 159 columns]"
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]
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},
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -293,7 +302,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 49,
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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},
@@ -304,14 +313,14 @@
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"65503"
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]
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},
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"execution_count": 49,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"food.shape #will give you both (observations / rows, columns)\n",
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"food.shape[0] #will give you only the observations number"
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"food.shape #will give you both (observations/rows, columns)\n",
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"food.shape[0] #will give you only the observations/rows number"
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]
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},
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{
@@ -323,7 +332,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": 12,
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"metadata": {
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"collapsed": false
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},
@@ -343,8 +352,8 @@
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}
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],
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"source": [
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"print food.shape #will give you both (observations / rows, columns)\n",
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"print food.shape[1] #will give you only the observations number\n",
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"print food.shape #will give you both (observations/rows, columns)\n",
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"print food.shape[1] #will give you only the columns number\n",
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"\n",
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"#OR\n",
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"\n",
@@ -360,7 +369,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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},
@@ -379,7 +388,7 @@
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" dtype='object', length=159)"
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]
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},
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"execution_count": 42,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -397,7 +406,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"execution_count": 14,
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"metadata": {
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"collapsed": false
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},
@@ -408,7 +417,7 @@
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"'glucose_100g'"
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]
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},
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"execution_count": 41,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -426,7 +435,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 15,
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"metadata": {
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"collapsed": false
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},
@@ -437,7 +446,7 @@
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"dtype('float64')"
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]
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},
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"execution_count": 31,
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -455,7 +464,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"execution_count": 16,
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"metadata": {
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"collapsed": false
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},
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"RangeIndex(start=0, stop=65503, step=1)"
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]
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},
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"execution_count": 32,
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -479,23 +488,23 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 11. Give me the product name of the 19th observation."
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"### Step 11. What is the product name of the 19th observation?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 18,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Sea Salt Potato Chips'"
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"'Flat Leaf Parsley'"
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]
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},
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"execution_count": 40,
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}

‎01_Getting_&_Knowing_Your_Data/World Food Facts/Solutions.ipynb‎

Lines changed: 32 additions & 22 deletions
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Getting and knowing your Data"
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"# Ex1 - Getting and knowing your Data"
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]
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},
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{
@@ -23,7 +23,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
@@ -39,11 +39,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"//anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2723: DtypeWarning: Columns (0,3,5,27,36) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" interactivity=interactivity, compiler=compiler, result=result)\n"
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]
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}
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],
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"source": []
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},
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{
@@ -55,9 +64,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"scrolled": true
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},
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"outputs": [
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{
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"[5 rows x 159 columns]"
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]
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},
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -286,7 +296,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 49,
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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},
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"65503"
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]
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},
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"execution_count": 49,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -313,7 +323,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": 12,
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"metadata": {
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"collapsed": false
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@@ -343,7 +353,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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},
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" dtype='object', length=159)"
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]
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},
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"execution_count": 42,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"collapsed": false
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},
@@ -389,7 +399,7 @@
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"'glucose_100g'"
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]
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},
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"execution_count": 41,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 15,
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"metadata": {
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"collapsed": false
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"dtype('float64')"
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]
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},
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"execution_count": 31,
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {
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"collapsed": false
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"RangeIndex(start=0, stop=65503, step=1)"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 11. Give me the product name of the 19th observation."
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"### Step 11. What is the product name of the 19th observation?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 18,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Sea Salt Potato Chips'"
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"'Flat Leaf Parsley'"
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]
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},
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"execution_count": 40,
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}

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