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    "## Indentification of all the members of the group.\n",
    "Name:\n",
    "\n",
    "Name:\n",
    "\n",
    "Name: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Name of the dataset\n",
    "Dataset:"
   ]
  },
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   "metadata": {},
   "source": [
    "## Abstract\n",
    "Abstract of the dataset (describe the dataset with your own words):"
   ]
  },
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   "source": [
    "## Questions to the dataset\n",
    "Question 1:\n",
    "\n",
    "Question 2:\n",
    "\n",
    "...\n",
    "\n",
    "Question P:"
   ]
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    "## EDA\n",
    "Present your EDA strategy:"
   ]
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   "source": [
    "## Some examples of analysis/visualizations:"
   ]
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   "source": [
    "1) Present the mean, variance, min, median and max values for each attribute. If the dataset has too many attibutes, choose the more significant ones. Present your code and some remarks to help the understanding."
   ]
  },
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    "2) How well distributed are the dataset in relation the each attribute. How can you visually check that? Hint: plot a histogram"
   ]
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    "3) Is there any attribute that can be used to better interpret the dataset? Show this in a graphic where you used this attribute to group (groupby) the data."
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    "4) Is there any outlier's pattern? "
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    "5) Make your own remarks about the dataset. Try to use one or more graphics to justify your remarks."
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   "source": [
    "6) Is there any symmetry that can be stressed?"
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    "7) How important was EDA to help you understand the dataset?"
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