seaborn_exercise.ipynb

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    "## Seaborn Assignment"
   ]
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    "# import pandas\n",
    "import pandas as pd\n",
    "\n",
    "# import seaborn\n",
    "import seaborn as sns\n",
    "\n",
    "# import matplotlib\n",
    "import matplotlib.pyplot as plt"
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    "df = pd.read_csv('https://gist.githubusercontent.com/armgilles/194bcff35001e7eb53a2a8b441e8b2c6/raw/92200bc0a673d5ce2110aaad4544ed6c4010f687/pokemon.csv',sep=',')\n",
    "df.drop('#',axis=1,inplace=True)"
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    "df.head()"
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   "source": [
    "### Task 1: Plot a regression line between attack and defense."
   ]
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    "### Task 2: Plot a regression line between attack and defense while displaying a distinction between the different generations. "
   ]
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   "source": [
    "### Task 3: Make a boxplot for each feature of dataframe (without Generation and Legendary features) in one plot."
   ]
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   "source": [
    "### Task 4: Plot a correlation heatmap of the pokemon dataframe (not including the features Generation and Legendary)."
   ]
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