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Analyst exercise 1
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‎example_report/practice_exercise1_Julia.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 62,
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"execution_count": 253,
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"id": "656a2fa1-35e5-47e2-98fa-a6e1c9770f8f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>mpg</th>\n",
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" <th>cyl</th>\n",
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" <th>disp</th>\n",
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" <th>hp</th>\n",
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" <th>drat</th>\n",
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" <th>wt</th>\n",
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" <th>qsec</th>\n",
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" <th>vs</th>\n",
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" <th>am</th>\n",
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" <th>gear</th>\n",
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" <th>carb</th>\n",
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" <th>cylinder_flag1</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>21.0</td>\n",
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" <td>6</td>\n",
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" <td>160.0</td>\n",
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" <td>110</td>\n",
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" <td>3.90</td>\n",
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" <td>2.620</td>\n",
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" <td>16.46</td>\n",
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" <td>0</td>\n",
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" <td>1</td>\n",
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" <td>4</td>\n",
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" <td>4</td>\n",
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" <td>six</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>21.0</td>\n",
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" <td>6</td>\n",
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" <td>160.0</td>\n",
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" <td>110</td>\n",
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" <td>3.90</td>\n",
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" <td>2.875</td>\n",
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" <td>17.02</td>\n",
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" <td>0</td>\n",
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" <td>1</td>\n",
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" <td>4</td>\n",
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" <td>4</td>\n",
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" <td>six</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>22.8</td>\n",
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" <td>4</td>\n",
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" <td>108.0</td>\n",
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" <td>93</td>\n",
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" <td>3.85</td>\n",
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" <td>2.320</td>\n",
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" <td>18.61</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>4</td>\n",
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" <td>1</td>\n",
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" <td>other</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>21.4</td>\n",
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" <td>6</td>\n",
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" <td>258.0</td>\n",
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" <td>110</td>\n",
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" <td>3.08</td>\n",
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" <td>3.215</td>\n",
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" <td>19.44</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" <td>3</td>\n",
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" <td>1</td>\n",
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" <td>six</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>18.7</td>\n",
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" <td>8</td>\n",
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" <td>360.0</td>\n",
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" <td>175</td>\n",
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" <td>3.15</td>\n",
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" <td>3.440</td>\n",
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" <td>17.02</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>3</td>\n",
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" <td>2</td>\n",
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" <td>other</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" mpg cyl disp hp drat wt qsec vs am gear carb \\\n",
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"0 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 \n",
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"1 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 \n",
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"2 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 \n",
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"3 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 \n",
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"4 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 \n",
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"\n",
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" cylinder_flag1 \n",
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"0 six \n",
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"1 six \n",
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"2 other \n",
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"3 six \n",
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"4 other "
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]
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},
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"execution_count": 253,
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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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"mtcars.head()"
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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": 260,
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"id": "1ffb5075-655e-4180-ba7b-d61c138bd6cf",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The average mpg is 20.090624999999996.\n",
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"The difference between max and min weight is 3.9110000000000005.\n"
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]
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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"\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>cyl</th>\n",
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" <th>avg_mpg</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>4</td>\n",
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" <td>26.663636</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>6</td>\n",
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" <td>19.742857</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>8</td>\n",
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" <td>15.100000</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" cyl avg_mpg\n",
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"0 4 26.663636\n",
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"1 6 19.742857\n",
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"2 8 15.100000"
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]
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},
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"execution_count": 260,
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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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"#Average mpg\n",
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"\n",
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"print(f\"The average mpg is {mtcars.mpg.mean()}.\")\n",
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"print(f\"The difference between max and min weight is {mtcars.wt.max() - mtcars.wt.min()}.\")"
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"# For all cyl -print(f\"The average mpg is {mtcars.mpg.mean()}.\")\n",
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"\n",
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"mtcars >> group_by(_.cyl) >> summarize(avg_mpg = _.mpg.mean()) >> ungroup()\n",
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"\n"
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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": 262,
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"id": "bdd08b36-f0da-4fe5-a54c-055349de4c20",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" }\n",
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"\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>cyl</th>\n",
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" <th>diff_wt</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>4</td>\n",
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" <td>1.677</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>6</td>\n",
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" <td>0.840</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>8</td>\n",
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" <td>2.254</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" cyl diff_wt\n",
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"0 4 1.677\n",
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"1 6 0.840\n",
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"2 8 2.254"
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]
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},
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"execution_count": 262,
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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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"#Difference\n",
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"# For all cyl - print(f\"The difference between max and min weight is {mtcars.wt.max() - mtcars.wt.min()}.\")\n",
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"\n",
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"mtcars >> group_by(_.cyl) >> summarize(diff_wt = _.wt.max() - _.wt.min()) >> ungroup()"
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]
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},
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{

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