diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 1d620e7b..70e73836 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 1,
"id": "4a3485d6-ba58-4660-a983-5680821c5719",
"metadata": {},
"outputs": [],
@@ -50,10 +50,128 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " mpg | \n",
+ " cylinders | \n",
+ " displacement | \n",
+ " horsepower | \n",
+ " weight | \n",
+ " acceleration | \n",
+ " model_year | \n",
+ " origin | \n",
+ " name | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 18.0 | \n",
+ " 8 | \n",
+ " 307.0 | \n",
+ " 130.0 | \n",
+ " 3504 | \n",
+ " 12.0 | \n",
+ " 70 | \n",
+ " usa | \n",
+ " chevrolet chevelle malibu | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 15.0 | \n",
+ " 8 | \n",
+ " 350.0 | \n",
+ " 165.0 | \n",
+ " 3693 | \n",
+ " 11.5 | \n",
+ " 70 | \n",
+ " usa | \n",
+ " buick skylark 320 | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 18.0 | \n",
+ " 8 | \n",
+ " 318.0 | \n",
+ " 150.0 | \n",
+ " 3436 | \n",
+ " 11.0 | \n",
+ " 70 | \n",
+ " usa | \n",
+ " plymouth satellite | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 16.0 | \n",
+ " 8 | \n",
+ " 304.0 | \n",
+ " 150.0 | \n",
+ " 3433 | \n",
+ " 12.0 | \n",
+ " 70 | \n",
+ " usa | \n",
+ " amc rebel sst | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 17.0 | \n",
+ " 8 | \n",
+ " 302.0 | \n",
+ " 140.0 | \n",
+ " 3449 | \n",
+ " 10.5 | \n",
+ " 70 | \n",
+ " usa | \n",
+ " ford torino | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " mpg cylinders displacement horsepower weight acceleration \\\n",
+ "0 18.0 8 307.0 130.0 3504 12.0 \n",
+ "1 15.0 8 350.0 165.0 3693 11.5 \n",
+ "2 18.0 8 318.0 150.0 3436 11.0 \n",
+ "3 16.0 8 304.0 150.0 3433 12.0 \n",
+ "4 17.0 8 302.0 140.0 3449 10.5 \n",
+ "\n",
+ " model_year origin name \n",
+ "0 70 usa chevrolet chevelle malibu \n",
+ "1 70 usa buick skylark 320 \n",
+ "2 70 usa plymouth satellite \n",
+ "3 70 usa amc rebel sst \n",
+ "4 70 usa ford torino "
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"import seaborn as sns\n",
"\n",
@@ -82,12 +200,27 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"id": "5d79f1cf",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The mpg dataset has 392 observations (rows).\n",
+ "The mpg dataset has 9 variables (columns).\n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here..."
+ "mpg_data\n",
+ "num_rows = mpg_data.shape[0]\n",
+ "print(f'The mpg dataset has {num_rows} observations (rows).')\n",
+ "\n",
+ "mpg_data\n",
+ "num_rows = mpg_data.shape[1]\n",
+ "print(f'The mpg dataset has {num_rows} variables (columns).')"
]
},
{
@@ -100,12 +233,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"id": "ac306190",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The data type of the 'mpg' column is float64.\n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here..."
+ "mpg_type = mpg_data['mpg'].dtype\n",
+ "print(f\"The data type of the 'mpg' column is {mpg_type}.\")"
]
},
{
@@ -113,7 +255,8 @@
"id": "6d759089",
"metadata": {},
"source": [
- "Your explanation... \n"
+ "# Explanation is based on W3 Schools website \"A number or a string that can be converted into a floating point number\"\n",
+ "# from textbook \"Learn Python by Building Data Science Applications\" Floats represent rational numbers with a decimal part (can be added, subracted, mitliplied, divided etc.) The division of 2 integers will result in a float (even if remainder is zero)"
]
},
{
@@ -126,12 +269,35 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"id": "9f034a5d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " mpg cylinders displacement horsepower weight acceleration \\\n",
+ "116 16.0 8 400.0 230.0 4278 9.5 \n",
+ "8 14.0 8 455.0 225.0 4425 10.0 \n",
+ "13 14.0 8 455.0 225.0 3086 10.0 \n",
+ "95 12.0 8 455.0 225.0 4951 11.0 \n",
+ "6 14.0 8 454.0 220.0 4354 9.0 \n",
+ "\n",
+ " model_year origin name \n",
+ "116 73 usa pontiac grand prix \n",
+ "8 70 usa pontiac catalina \n",
+ "13 70 usa buick estate wagon (sw) \n",
+ "95 73 usa buick electra 225 custom \n",
+ "6 70 usa chevrolet impala \n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here... "
+ "# Get the 5 rows with the greatest horsepower\n",
+ "top_5_horsepower = mpg_data.nlargest(5, 'horsepower')\n",
+ "# Display the result\n",
+ "print(top_5_horsepower)"
]
},
{
@@ -149,7 +315,7 @@
"metadata": {},
"outputs": [],
"source": [
- "# Your answer here..."
+ "# 8 predictor variables (total number of variables is 9, minus the mpg response variable)"
]
},
{
@@ -173,10 +339,71 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"id": "732784d8",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
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+ "