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6 files changed

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‎05_Merge/Auto_MPG/Exercises.ipynb

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@@ -31,7 +31,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars2.csv). "
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars2.csv). "
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]
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},
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{
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.11"
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"version": "2.7.12"
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}
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},
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"nbformat": 4,

‎05_Merge/Auto_MPG/Exercises_with_solutions.ipynb

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@@ -34,7 +34,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars2.csv). "
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars2.csv). "
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]
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},
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{
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}
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],
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"source": [
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"cars1 = pd.read_csv(\"https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars1.csv\")\n",
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"cars2 = pd.read_csv(\"https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars2.csv\")\n",
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"cars1 = pd.read_csv(\"https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv\")\n",
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"cars2 = pd.read_csv(\"https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars2.csv\")\n",
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"\n",
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"print cars1.head()\n",
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"print cars2.head()"
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.11"
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"version": "2.7.12"
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}
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},
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"nbformat": 4,

‎05_Merge/Auto_MPG/Solutions.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars2.csv). "
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"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars2.csv). "
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]
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},
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{
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.11"
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"version": "2.7.12"
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}
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},
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"nbformat": 4,

‎06_Stats/US_Baby_Names/Exercises.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/06_Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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]
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},

‎06_Stats/US_Baby_Names/Exercises_with_solutions.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/06_Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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]
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{
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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}
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},
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"nbformat": 4,

‎06_Stats/US_Baby_Names/Solutions.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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"### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/06_Stats/US_Baby_Names/US_Baby_Names_right.csv). "
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]
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{
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 2",
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.11"
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"version": "2.7.12"
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}
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},
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"nbformat": 4,

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