03-talk-conclusions.ipynb

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    "  ![PyData_logo](./static/pydata-logo-madrid-2016.png)"
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   "source": [
    "# Remove Before Flight\n",
    "## Analyzing Flight Safety Data with Python"
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   "source": [
    "###### Jesús Martos Carrizo\n",
    "###### Alejandro Sáez Mollejo"
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   "source": [
    "### Other Conclusions "
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   "source": [
    "##### Air safety data gathering seems to be improving a lot in Europe: European Central Repository (**ECR**)"
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    "- EASA annual safety reviews contain information about ECR.\n",
    "> \"The value of augmenting accident and serious incident data with incident data from the ECR will bring enormous benefits to the identification of safety issues.\""
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    "- **European regultions** on ECR constantly evolving:\n",
    "    > *\"The implementation of Regulation (EU) 376/2014 in November 2015 will introduce the requirement for reporting organisations and individuals to provide mandatory data.\"*"
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    "- **Commitment to improve data quality**: data quality section included in annual safety reviews.\n",
    "\n",
    "> \"It is vital that occurrence information is collected in a **centralised manner**, from a variety of sources, in a **standardised and compatible** format.\"\n",
    "    "
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  {
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   "source": [
    "##### Data analysis process is not a bed of roses"
   ]
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   "source": [
    "   \n",
    "- **Getting the data** is hard! thank you NTSB!\n",
    "- **Cleaning** data is time consumming: missing and wrong values, parsing process...\n",
    "- **But pandas helps a lot!**"
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   "source": [
    "![pandas](static/pandas_help.jpeg)"
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   },
   "source": [
    "# Thanks for yor attention! "
   ]
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   "source": [
    "## Any Questions?"
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    "![PyData_logo](./static/pydata-logo-madrid-2016.png)"
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