1-Intro a Data wrangling.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Cargamos-librerias\" data-toc-modified-id=\"Cargamos-librerias-1\">Cargamos librerias</a></span><ul class=\"toc-item\"><li><span><a href=\"#EDA:-Exploratory-data-analysis\" data-toc-modified-id=\"EDA:-Exploratory-data-analysis-1.1\">EDA: Exploratory data analysis</a></span></li></ul></li><li><span><a href=\"#especies-unicas\" data-toc-modified-id=\"especies-unicas-2\">especies unicas</a></span><ul class=\"toc-item\"><li><span><a href=\"#remplazar-valores\" data-toc-modified-id=\"remplazar-valores-2.1\">remplazar valores</a></span></li><li><span><a href=\"#visualizacion-de-datos\" data-toc-modified-id=\"visualizacion-de-datos-2.2\">visualizacion de datos</a></span></li></ul></li><li><span><a href=\"#Actividad:\" data-toc-modified-id=\"Actividad:-3\">Actividad:</a></span></li></ul></div>"
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   "source": [
    "# Cargamos librerias"
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   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
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   "source": [
    "import numpy as np\n",
    "import scipy as sc\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "from IPython.display import display\n",
    "import sys"
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   "source": [
    "## EDA: Exploratory data analysis"
   ]
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   "source": [
    "!wget"
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   "source": [
    "df=pd.read_csv('datos/iris.csv')\n",
    "print(df.shape)\n",
    "df.head(1)"
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   "source": [
    "# especies unicas"
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   "source": [
    "df['species'].unique()"
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   "source": [
    "## remplazar valores"
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   "source": [
    "mapping = {'setosa': 0, 'versicolor': 1,'virginica':2}\n",
    "df = df.replace({'species': mapping})\n",
    "df"
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   "source": [
    "## visualizacion de datos"
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    "# Actividad:\n",
    "\n",
    "* Lodear los datos del boson de higgs\n",
    "* Limpiar los datos\n",
    "* Explorar los datos, hay patrones \n",
    "* convertirlos en forma \"X\" y \"Y\""
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