sfrias_social2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "sfrias_social2.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNC/pKsV3L5H4YmJUkhEc/v",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sfrias/hackOpendataLabTGN/blob/main/sfrias_social2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8FqqaqMk-Ef1"
      },
      "source": [
        "#! /usr/bin/env python\n",
        "# -*- coding: utf-8 -*-"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sRb_4EqkB-As"
      },
      "source": [
        "# Code License"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Sl15Sy9B9rw"
      },
      "source": [
        "Source URL: https://github.com/sfrias/hackOpendataLabTGN/blob/main/sfrias_social2.ipynb\n",
        "\n",
        "Authors(incremental for changes):\n",
        "- S.Frias (2021, May)\n",
        "\n",
        "Stakeholders:\n",
        "- Pasqual Olivas (2021, May)\n",
        "- JVanessa Ruana (2021, May)\n",
        "\n",
        "Repo: https://github.com/sfrias/hackOpendataLabTGN/\n",
        "\n",
        "This code content is licensed under GPL 3.0 or any later version\n",
        "\n",
        "https://www.gnu.org/licenses/gpl-3.0.html\n",
        "\n",
        "Only way to make software development safe is to abolish software patents\n",
        "\n",
        "https://www.gnu.org/licenses/quick-guide-gplv3.html\n",
        "\n",
        "Data sources: Open Data, Creative Commons by attribution.\n",
        "\n",
        "Rules: Article 8, Law 37/2007, of 16 November, reuse of public sector information.\n",
        "- Do not distort the meaning of the information or alter its content.\n",
        "- The source of the data must be cited.\n",
        "- Mention must be made of the date of the last update of the information.\n",
        "\n",
        "Whiteboard: https://r8.whiteboardfox.com/8917302-4602-9950"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L0pFyUSwwqro"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k4ycWn20CsF2"
      },
      "source": [
        "### Synthesis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NhfDa9vKCVKg"
      },
      "source": [
        "#  OpendataLab Tarragona Reus stages.\n",
        "#  Goal: knowledge about social impact related to COVID-19 issue.\n",
        "#  Rules: use opendata sources, extract knowledge, and render results\n",
        "#  First hack: Economic and social reactivation related of Covid-19 at Camp de Tarragona.\n",
        "#  Location: Virtual Datalab Reus and Tarragona, Catalonia (ES)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S73IrTgtJXt3"
      },
      "source": [
        "# Development of first Session.\n",
        "#\n",
        "#  Stakeholders are concerned about the use of resources granted to alleviate\n",
        "# the social, economic and labor consequences of confinement situations\n",
        "# derived from the pandemics associated with SARS-CoV2\n",
        "#\n",
        "#  In their thinking appears the concept of creating a reactivation system,\n",
        "# more focused on policies that generate the greatest possible impact,\n",
        "# on one hand, with special consideration of sustainable activities,\n",
        "# and on the other hand with the concept of resource transfer,\n",
        "# and accountability objective way.\n",
        "#\n",
        "#  For this last aspect, the incidence of these policies should be quantified and evaluated,\n",
        "# all of this setting up a scenario that builds a temporal model (past, present, future),\n",
        "# on which to correlate the actions of each chosen policy, with the change or maintenance\n",
        "# of certain indicators, magnitudes or evolution parameters, and detect in an anticipated way,\n",
        "# or at an early moment a behavior that is not expected, using updates of related opendata datasets."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GB3E5kSzb3-J"
      },
      "source": [
        "# Development of second session:\n",
        "#\n",
        "# Goal is create a visualization to lead some knowledge about employment/contracts\n",
        "#\n",
        "# Segmentation: municipalities by citizens/sex/Age (>100K,100K-15K,>15K) / (Total,Women,Men) / <25,25-44,>44)\n",
        "#\n",
        "# Autosegmentation graphics would be nice."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LDFkKeSxJnXC"
      },
      "source": [
        "#### Tematiques:\n",
        "\n",
        "1 - Evolució atur i contractes davant la pandemia\n",
        "\n",
        "2 - Target: obtenir coneixement de detall de afectació i evolució.\n",
        "\n",
        "3 - Afectació per ámbit geogràfic, població del nucli, sexe, edat\n",
        "\n",
        "4 - Plantejar afectació per sectors, i la seva agrupació (CNAE, ZONES)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4OnGd_dOKMOV"
      },
      "source": [
        "#### Dades a cercar:\n",
        "\n",
        "1 - Atur/Contractes municipis TGN. amb detall com el tipus de contracte, sectors, durant la pandemia.\n",
        "\n",
        "2 - Població municipis, sexe, piràmide de edat, poblacio activa (%) \n",
        "\n",
        "3 - Establir escenari/model (passat, present, futur per accions, la seva implementació i seguiment.\n",
        "\n",
        "4 - Agrupació dades global activitats econòmiques per CNAE. Pendent.\n",
        "\n",
        "5 - Mesures institucionals a diversos nivells, con a events temporals per estudiar possibles correlacions.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WCgNsBiEEo5G"
      },
      "source": [
        "### Utilities"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wdFJFeFLH0a4"
      },
      "source": [
        "# Use pandas to append/convert dataset formats and info\n",
        "import pandas"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xajZGME5Icnv"
      },
      "source": [
        "#Use to import io, which opens the file from the colab drive\n",
        "import io"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nJb9stncBiN9"
      },
      "source": [
        "# Import and package configuration in google colab drive\n",
        "from google.colab import files"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rOxT3b6uOmW4"
      },
      "source": [
        "# Mount storage unit on  en Google Colab cloud\n",
        "# from google.colab import drive\n",
        "# drive.mount('/gdrive')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qXguwabuOrvP"
      },
      "source": [
        "# List Google Drive associated path\n",
        "# !ls -lah /gdrive/'My Drive'/"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hbETQ8ZiPDdi"
      },
      "source": [
        "# Upload from Google Drive to Colab some data files stored at folder to colab drive interaction after\n",
        "# !cp /gdrive/MyDrive/OpendataLabTGN/hack1/*.* ."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xlPuau1RBiCH"
      },
      "source": [
        "# Open a widget, that will enable you to browse the files on your local storage drive.\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BdxR-j36IknG"
      },
      "source": [
        "# Load to colab drive data from url named as <file>\n",
        "!wget --no-check-certificate -O <file> \"<url>\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PEbi72EyP64T"
      },
      "source": [
        "# deal with various input/ouput\n",
        "df = pandas.read_csv(io.BytesIO(uploaded['<file>.csv']))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ceXAo_OVIkay"
      },
      "source": [
        "# Read the uploaded .csv with pandas and decoding it so it readable\n",
        "dataframe1 = pandas.read_csv(io.StringIO(uploaded['<file>.csv'].decode('utf-8')), sheetname= '<sheet>')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VJ6aIl94IkNF"
      },
      "source": [
        "# Read the uploaded .xls with pandas and decoding it so it readable\n",
        "dataframe2 = pandas.read_excel(io.StringIO(uploaded['<file>.xls'].decode('utf-8')))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "__4mz4QKO-1L"
      },
      "source": [
        "# import a dataset from a url source (example for JSON)\n",
        "dataframe = pandas.read_json('<url>')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sj1AZLBDMfGm"
      },
      "source": [
        "#to view the first 10 rows of the dataframe1\n",
        "dataframe1.head(10)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3a-0-rpvMe73"
      },
      "source": [
        "#to view the last 10 rows of the dataframe1\n",
        "dataframe1.tail(10)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tJ2sjt03MetW"
      },
      "source": [
        "# exporting to a .csv file\n",
        "dataframe2.to_csv('dataframe2.csv', index = False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SQj96szHNS6n"
      },
      "source": [
        "# exporting to a .xls file\n",
        "dataframe1.to_excel('dataframe2.xls', sheet_name = '<newsheet>')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yFIhDTsxR9Cd"
      },
      "source": [
        "# download file to a local filesystem\n",
        "files.download('sample.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j5Lb3vwszkn4"
      },
      "source": [
        "### Budget"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LB-q0tc7YHBo"
      },
      "source": [
        "# Tarragona: Cens i despeses per habitant"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z2ji1uRuT-5p"
      },
      "source": [
        "!wget -O gesEcEns.csv \"https://seu-e.cat/ca/web/tarragona/dades-obertes?p_p_id=aoctransparenciadadesobertes_WAR_aoctransparenciaportlet&p_p_lifecycle=2&p_p_state=normal&p_p_mode=view&p_p_cacheability=cacheLevelPage&p_p_col_id=column-1&p_p_col_count=1&_aoctransparenciadadesobertes_WAR_aoctransparenciaportlet_filterEns=CODI_ENS%253A4314820002&_aoctransparenciadadesobertes_WAR_aoctransparenciaportlet_resourceId=16416882-d418-4be6-9b82-ceb398bd60f8&_aoctransparenciadadesobertes_WAR_aoctransparenciaportlet_cmd=downloadEnsCSV&_aoctransparenciadadesobertes_WAR_aoctransparenciaportlet_resourceName=Resum+indicadors+gesti%C3%B3+econ%C3%B2mica+per+ens&_aoctransparenciadadesobertes_WAR_aoctransparenciaportlet_mvcPath=%2Fhtml%2Ftransparenciadadesobertes%2FdatasetResource.jsp\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F_qtGs0WT-5q"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DHTGFxe7T-5r"
      },
      "source": [
        "! head gesEcEns.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oMMdHig7T-5r"
      },
      "source": [
        "! tail gesEcEns.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ajIRab2DfswL"
      },
      "source": [
        "# Pressupostos dels ens municipals de Catalunya per any tipus partida i classificació"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "du6iQ0zqT_H5"
      },
      "source": [
        "!wget -O prptEnsCat.csv \"https://analisi.transparenciacatalunya.cat/api/views/4g9s-gzp6/rows.csv?accessType=DOWNLOAD&sorting=true\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qWZbPOM_T_H6"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Un0i-jBHT_H8"
      },
      "source": [
        "! head prptEnsCat.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lTkQvAteT_IB"
      },
      "source": [
        "! tail prptEnsCat.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KadNELgVBdam"
      },
      "source": [
        "### Commercial business"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gb3z3ZGrgQKB"
      },
      "source": [
        "# Cens d'establiments comercials de Catalunya\n",
        "# https://analisi.transparenciacatalunya.cat/Economia/Servei-de-consulta-del-Cens-d-establiments-comerci/2dhj-q3r8"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "inX4P_tYT_Xi"
      },
      "source": [
        "!wget -O CECC_Cat.csv \"https://analisi.transparenciacatalunya.cat/api/views/2dhj-q3r8/rows.csv?accessType=DOWNLOAD&sorting=true\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Im0Tzf5qT_Xj"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VZBnLE57T_Xj"
      },
      "source": [
        "! head CECC_Cat.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UmrDoWGOT_Xl"
      },
      "source": [
        "! tail CECC_Cat.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aYmXXNnEiIGQ"
      },
      "source": [
        "# Oferta comercial per activitats\n",
        "# https://analisi.transparenciacatalunya.cat/Economia/Servei-de-consulta-de-l-oferta-comercial-per-activ/8my5-y3qb"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "piYmkinYiI8R"
      },
      "source": [
        "!wget -O ofComAct.csv \"https://analisi.transparenciacatalunya.cat/api/views/8my5-y3qb/rows.csv?accessType=DOWNLOAD&sorting=true\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vsKZALTCiI8T"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9DGRonqIiI8U"
      },
      "source": [
        "! head ofComAct.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HaL2vwsEiI8W"
      },
      "source": [
        "! tail ofComAct.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MHgNyPdFiO8I"
      },
      "source": [
        "# Empreses i establiments, per sector i assalariats\n",
        "# https://idescat.cat/pub/?id=ee"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r11NjUS0iO8K"
      },
      "source": [
        "# Any 2020\n",
        "!wget -O estblSecTreb20.csv \"https://idescat.cat/pub/?id=ee&n=10919&t=202000&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SxjDVVLXm8YR"
      },
      "source": [
        "! head gestblSecTreb20.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z_oWt9Ssm8YU"
      },
      "source": [
        "! tail gestblSecTreb20.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jZVQcEBllwR2"
      },
      "source": [
        "# Any 2019\n",
        "!wget -O estblSecTreb19.csv \"https://idescat.cat/pub/?id=ee&n=10919&t=201900&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5iV18nzm-E6"
      },
      "source": [
        "! head estblSecTreb19.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ywkptPCm-E8"
      },
      "source": [
        "! tail estblSecTreb19.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H4QpJJjgl1MG"
      },
      "source": [
        "# Any 2018\n",
        "!wget -O estblSecTreb18.csv \"https://idescat.cat/pub/?id=ee&n=10919&t=201800&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CLrVpEaunB1v"
      },
      "source": [
        "! head estblSecTreb18.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E7EeKKYlnB1x"
      },
      "source": [
        "! tail estblSecTreb18.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XBxJv-iqiO8L"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ts7w0Iq6Siw1"
      },
      "source": [
        "# Reus: Cens d'activitats econòmiques i de negocis\n",
        "# https://opendata.reus.cat/dataset/cens-dactivitats-de-la-ciutat-de-reus"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qiljJ-P3Siw5",
        "outputId": "7148c4d0-7e14-466d-fa6d-e8de6f6c91bc"
      },
      "source": [
        "# Llistat actual\n",
        "!wget --no-check-certificate -O actEcnReus.csv \"https://opendata.reus.cat/datastore/dump/dcaf22c4-d1ac-4c64-955f-422071a54e54?format=csv&bom=true\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-03-25 21:35:59--  https://opendata.reus.cat/datastore/dump/dcaf22c4-d1ac-4c64-955f-422071a54e54?format=csv&bom=true\n",
            "Resolving opendata.reus.cat (opendata.reus.cat)... 213.0.28.29\n",
            "Connecting to opendata.reus.cat (opendata.reus.cat)|213.0.28.29|:443... connected.\n",
            "WARNING: cannot verify opendata.reus.cat's certificate, issued by ‘CN=Sectigo RSA Organization Validation Secure Server CA,O=Sectigo Limited,L=Salford,ST=Greater Manchester,C=GB’:\n",
            "  Unable to locally verify the issuer's authority.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [text/csv]\n",
            "Saving to: ‘actEcnReus.csv’\n",
            "\n",
            "actEcnReus.csv          [             <=>    ]   1.33M   286KB/s    in 4.8s    \n",
            "\n",
            "2021-03-25 21:36:05 (286 KB/s) - ‘actEcnReus.csv’ saved [1395291]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vyjSL5dSThfa",
        "outputId": "d39d5068-06a5-487e-b7cf-3fde69a39d93"
      },
      "source": [
        "# Historic d'activitats\n",
        "!wget --no-check-certificate -O actEcnReusHist.csv \"https://opendata.reus.cat/datastore/dump/bb592690-77fb-41ff-b2d1-142972125b7c?format=csv&bom=true\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-03-25 21:36:16--  https://opendata.reus.cat/datastore/dump/bb592690-77fb-41ff-b2d1-142972125b7c?format=csv&bom=true\n",
            "Resolving opendata.reus.cat (opendata.reus.cat)... 213.0.28.29\n",
            "Connecting to opendata.reus.cat (opendata.reus.cat)|213.0.28.29|:443... connected.\n",
            "WARNING: cannot verify opendata.reus.cat's certificate, issued by ‘CN=Sectigo RSA Organization Validation Secure Server CA,O=Sectigo Limited,L=Salford,ST=Greater Manchester,C=GB’:\n",
            "  Unable to locally verify the issuer's authority.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [text/csv]\n",
            "Saving to: ‘actEcnReusHist.csv’\n",
            "\n",
            "actEcnReusHist.csv      [  <=>               ]   3.57M   229KB/s    in 19s     \n",
            "\n",
            "2021-03-25 21:36:37 (188 KB/s) - ‘actEcnReusHist.csv’ saved [3746960]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dLt4zXHGSiw7",
        "outputId": "9654f616-d020-42d7-8e23-ef7e40846c42"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 5.0M\n",
            "drwxr-xr-x 1 root root 4.0K Mar 25 21:36 .\n",
            "drwxr-xr-x 1 root root 4.0K Mar 25 21:33 ..\n",
            "-rw-r--r-- 1 root root 1.4M Mar 25 21:36 actEcnReus.csv\n",
            "-rw-r--r-- 1 root root 3.6M Mar 25 21:36 actEcnReusHist.csv\n",
            "drwxr-xr-x 4 root root 4.0K Mar 18 13:36 .config\n",
            "drwxr-xr-x 1 root root 4.0K Mar 18 13:36 sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "khHLfuYASiw9",
        "outputId": "78ad92b6-022e-46ca-cc1c-645a792397de"
      },
      "source": [
        "! head actEcnReus.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "﻿_id,CODI LLICÈNCIA,CODI ACTIVITAT,NOM ACTIVITAT,DESCRIPCIÓ,CODI CCAE 2009,DESCRIPCIÓ CCAE 2009,DATA DE LEGALITZACIÓ,BARRI,DIRECCIÓ,CODI POSTAL,MUNICIPI,SUPERFÍCIE COBERTA,ANNEX 2009,ANNEX 2010,ANNEX 14,ANNEX,ANNEX 16\r\n",
            "1,18626,19847,\"\",magatzem maquinària frigorífica,5210,dipòsit i emmagatzematge,,AGRO-REUS,CR VICTOR CATALA  71,43206,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "2,18625,19845,\"\",taller i magatzem maquinària pala pàdel,5210,dipòsit i emmagatzematge,,MAS DE LES ÀNIMES,CR JOAQUIM RUYRA  5,43206,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "3,18624,19844,\"\",transformació de vidre pla a vidre manufacturat,2312,manipulació i transformació del vidre pla,,GRANJA VILA,\"CR IGUALTAT, DE LA  17\",43204,REUS,0.0,III,No aplicable,\"\",No aplicable,\"\"\n",
            "4,18622,19842,\"\",magatzem de complements per automoció,5210,dipòsit i emmagatzematge,,DINA,\"CR BALAGUER, DE  16\",43204,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "5,18621,19841,\"\",perruqueria / barberia,9602,perruqueria i altres tractaments de bellesa,,HORTS MIRÓ,PL PURISSIMA SANG  37,43201,REUS,0.0,0,No aplicable,\"\",No aplicable,Innòqües\n",
            "6,18619,19839,\"\",\"taller, magatzem de instal.lador xarxes de telecomunicació\",4222,construcció de xarxes elèctriques i de telecomunicacions,,PI DE BOFARULL,\"CR GRASSA, DE LA  26-28\",43204,REUS,0.0,0,No aplicable,\"\",No aplicable,Baix Risc\n",
            "7,18617,19837,\"\",reparació de vidres per vaixells,2312,manipulació i transformació del vidre pla,,MAS DE LES ÀNIMES,\"CR VICENT ANDRES ESTELLES, DE  11\",43206,REUS,0.0,III,No aplicable,\"\",No aplicable,\"\"\n",
            "8,18616,19836,\"\",magatzem equips climatització,5210,dipòsit i emmagatzematge,,DINA,CR SABADELL  38,43204,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "9,18615,7757,Cargill,\"industria d'extraccio, refinacio i envasat d'olis vegetals\",3700,recollida i tractament d'aigües residuals,2014-01-27T00:00:00,MAS DE LES ÀNIMES,\"AV FALSET, DE  127\",43206,REUS,0.0,0,No aplicable,\"\",Autorització Ambiental,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KgKMRkynSiw_",
        "outputId": "13aeb7f4-4139-42e7-8bad-84a6098e0d74"
      },
      "source": [
        "! tail actEcnReus.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "6229,47,13,\"\",planta de recollida i tractament d'olis procedents d'usos alimentaris,1091,fabricació de productes per a l'alimentació d'animals de granja,1982-09-10T00:00:00,\"\",\"\",,\"\",1.0,\"\",No aplicable,\"\",Llicència Ambiental,\"\"\n",
            "6230,44,9804,\"\",magatzem lecitines,1091,fabricació de productes per a l'alimentació d'animals de granja,1997-04-04T00:00:00,MAS DE LES ÀNIMES,CR ADRIA GUAL  4,43206,REUS,0.0,\"\",No aplicable,\"\",Llicència Ambiental,\"\"\n",
            "6231,43,10661,Sece Sa,taller electromecanic i magatzem de material electric,4321,instal·lacions elèctriques,1999-07-14T00:00:00,MAS DE LES ÀNIMES,CR ADRIA GUAL  16,43206,REUS,530.0,\"\",No aplicable,\"\",Llicència Ambiental,\"\"\n",
            "6232,36,15,Vermuts Miro,criança i elaboracio de vins diversos,1102,elaboració de vins,2003-03-10T00:00:00,\"\",\"\",,\"\",0.0,\"\",\"\",\"\",Llicència Ambiental,\"\"\n",
            "6233,23,13731,El Marfull,llar infants,8891,activitats d'atenció diürna d'infants,2005-09-09T00:00:00,HORTS MIRÓ,\"PL ABAT OLIBA, DE L'  35\",43204,REUS,0.0,\"\",\"\",\"\",Llicència Ambiental,\"\"\n",
            "6234,21,13495,\"\",condicionador aire,0,sense grup definit,,HORTS MIRÓ,\"PL ABAT OLIBA, DE L'  29\",43204,REUS,0.0,\"\",No aplicable,\"\",\"\",\"\"\n",
            "6235,20,11218,\"\",oficina assegurances,6511,assegurances de vida,2000-03-29T00:00:00,HORTS MIRÓ,\"PL ABAT OLIBA, DE L'  29\",43204,REUS,67.0,\"\",No aplicable,\"\",No inclosa amb documentació tècnica,\"\"\n",
            "6236,14,13092,\"\",reportatges audiovisuals i plato de tv amb parquing,0,sense grup definit,2003-11-19T00:00:00,\"\",\"\",,\"\",236.86,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n",
            "6237,7,8245,\"\",oficina per empresa constructora,4121,construcció d'edificis residencials,1995-08-09T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  18\",43204,REUS,83.26,\"\",No aplicable,\"\",No inclosa amb documentació tècnica,\"\"\n",
            "6238,4,13405,Santander Central Hispano,oficina bancària,6419,altres tipus de mediació monetària,2004-09-29T00:00:00,\"\",\"\",,\"\",266.54,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dO3Q3OPKT727",
        "outputId": "055d7eb5-5b44-4acb-8834-f012a12f0b99"
      },
      "source": [
        "! head actEcnReusHist.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "﻿_id,CODI LLICÈNCIA,CODI ACTIVITAT,NOM ACTIVITAT,DESCRIPCIÓ,CODI CCAE 2009,DESCRIPCIÓ CCAE 2009,DATA DE LEGALITZACIÓ,DATA DE BAIXA,BARRI,DIRECCIÓ,CODI POSTAL,MUNICIPI,SUPERFÍCIE COBERTA,ANNEX 2009,ANNEX 2010,ANNEX 14,ANNEX,ANNEX 16\r\n",
            "1,18626,19847,\"\",magatzem maquinària frigorífica,5210,dipòsit i emmagatzematge,,,AGRO-REUS,CR VICTOR CATALA  71,43206,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "2,18625,19845,\"\",taller i magatzem maquinària pala pàdel,5210,dipòsit i emmagatzematge,,,MAS DE LES ÀNIMES,CR JOAQUIM RUYRA  5,43206,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "3,18624,19844,\"\",transformació de vidre pla a vidre manufacturat,2312,manipulació i transformació del vidre pla,,,GRANJA VILA,\"CR IGUALTAT, DE LA  17\",43204,REUS,0.0,III,No aplicable,\"\",No aplicable,\"\"\n",
            "4,18622,19842,\"\",magatzem de complements per automoció,5210,dipòsit i emmagatzematge,,,DINA,\"CR BALAGUER, DE  16\",43204,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "5,18621,19841,\"\",perruqueria / barberia,9602,perruqueria i altres tractaments de bellesa,,,HORTS MIRÓ,PL PURISSIMA SANG  37,43201,REUS,0.0,0,No aplicable,\"\",No aplicable,Innòqües\n",
            "6,18619,19839,\"\",\"taller, magatzem de instal.lador xarxes de telecomunicació\",4222,construcció de xarxes elèctriques i de telecomunicacions,,,PI DE BOFARULL,\"CR GRASSA, DE LA  26-28\",43204,REUS,0.0,0,No aplicable,\"\",No aplicable,Baix Risc\n",
            "7,18617,19837,\"\",reparació de vidres per vaixells,2312,manipulació i transformació del vidre pla,,,MAS DE LES ÀNIMES,\"CR VICENT ANDRES ESTELLES, DE  11\",43206,REUS,0.0,III,No aplicable,\"\",No aplicable,\"\"\n",
            "8,18616,19836,\"\",magatzem equips climatització,5210,dipòsit i emmagatzematge,,,DINA,CR SABADELL  38,43204,REUS,0.0,0,No aplicable,\"\",No aplicable,\"\"\n",
            "9,18615,7757,Cargill,\"industria d'extraccio, refinacio i envasat d'olis vegetals\",3700,recollida i tractament d'aigües residuals,2014-01-27T00:00:00,,MAS DE LES ÀNIMES,\"AV FALSET, DE  127\",43206,REUS,0.0,0,No aplicable,\"\",Autorització Ambiental,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FBzgZT01T728",
        "outputId": "ab61f967-98b9-4f97-fddb-1cbbc9dbac51"
      },
      "source": [
        "! tail actEcnReusHist.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "16232,17,12775,\"\",taller mecànic,2562,enginyeria mecànica general per compte d'altri,0004-01-29T00:00:00,2008-05-02T00:00:00,HORTS MIRÓ,\"PL ABAT OLIBA, DE L'  25\",43204,REUS,237.82,\"\",No aplicable,\"\",Règim de comunicació,\"\"\n",
            "16233,14,13092,\"\",reportatges audiovisuals i plato de tv amb parquing,0,sense grup definit,2003-11-19T00:00:00,,\"\",\"\",,\"\",236.86,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n",
            "16234,12,14514,Tigeres,perruqueria,9602,perruqueria i altres tractaments de bellesa,2006-11-23T00:00:00,2020-05-19T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  22\",43204,REUS,42.28,\"\",\"\",\"\",No inclosa amb documentació tècnica,\"\"\n",
            "16235,11,8323,\"\",quiosc,4762,comerç al detall de periòdics i articles de papereria en establiments especialitzats,0095-12-09T00:00:00,2008-05-02T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  22\",43204,REUS,42.5,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n",
            "16236,10,8677,\"\",oficina i magatzem d'instal·lacions d'electricitat,4322,\"lampisteria, instal·lacions de calefacció i aire condicionat\",1996-11-26T00:00:00,2012-07-18T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  20\",43204,REUS,260.0,\"\",\"\",\"\",Règim de comunicació,\"\"\n",
            "16237,9,13560,\"\",oficines de servei de prevenció aliè,0,sense grup definit,2004-12-20T00:00:00,2007-06-08T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  17\",43204,REUS,264.94,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n",
            "16238,7,8245,\"\",oficina per empresa constructora,4121,construcció d'edificis residencials,1995-08-09T00:00:00,,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  18\",43204,REUS,83.26,\"\",No aplicable,\"\",No inclosa amb documentació tècnica,\"\"\n",
            "16239,5,13560,\"\",oficines de servei de prevenció aliè,6621,avaluació de riscos i danys,2007-06-08T00:00:00,2013-05-14T00:00:00,HORTS MIRÓ,\"CR ABAT ESCARRE, DE L'  17\",43204,REUS,264.94,\"\",\"\",\"\",No inclosa amb projecte tècnic,\"\"\n",
            "16240,4,13405,Santander Central Hispano,oficina bancària,6419,altres tipus de mediació monetària,2004-09-29T00:00:00,,\"\",\"\",,\"\",266.54,\"\",No aplicable,\"\",No inclosa amb projecte tècnic,\"\"\n",
            "16241,1,13387,\"\",exposicio comerç motocicletes  amb  magatzem,4540,\"venda, manteniment i reparació de motocicletes, i dels seus recanvis i accessoris\",2004-08-19T00:00:00,2020-01-12T00:00:00,CASC ANTIC,\"CR ABADIA, DE L'  23\",43201,REUS,197.89,\"\",\"\",\"\",No inclosa amb projecte tècnic,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NMdoYTDFByle"
      },
      "source": [
        "### Confidence and Activity Indicators"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1hCzH2PoiPp8"
      },
      "source": [
        "# Index de confiança empresarial armonitzat\n",
        "# https://idescat.cat/pub/?id=iceh"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xupSds1-iPp9"
      },
      "source": [
        "!wget -O IdxConfEmpH.csv \"https://idescat.cat/indicadors/?id=conj&n=10234&col=1&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SElGOGTmiPp-"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zKLGiySiiPp_"
      },
      "source": [
        "! head IdxConfEmpH.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e3z9qZ3ZiPqC"
      },
      "source": [
        "! tail IdxConfEmpH.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RxTR-_OviP6k"
      },
      "source": [
        "#  Indicadors d'activitat del sector serveis\n",
        "# https://idescat.cat/pub/?id=iass"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wedYMIQ9iP6m"
      },
      "source": [
        "!wget -O IdxActSSPrdVneg.csv \"https://idescat.cat/indicadors/?id=conj&n=10267&col=1&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DWKLQPsLiP6n"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H7TLkU6fiP6o"
      },
      "source": [
        "! head IdxActSSPrdVneg.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FZXTsMV9iP6p"
      },
      "source": [
        "! tail IdxActSSPrdVneg.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UA0EzzAFB9q0"
      },
      "source": [
        "### Local entities"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wTLiwyqBdK1Y"
      },
      "source": [
        "# Reus Govern Obert i Transparència\n",
        "# https://www.seu-e.cat/ca/web/reus"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i1VVxDRRiQKU"
      },
      "source": [
        "# Reus en Xifres.\n",
        "# https://www.idescat.cat/emex/?id=431233"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8rbdLAXviQKV"
      },
      "source": [
        "!wget -O muniReus.csv \"https://www.idescat.cat/emex/?id=431233&f=csv\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ko_fVSiZiQKW"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QPidsaeTiQKX"
      },
      "source": [
        "! head muniReus.csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "skyhfkbCiQKX"
      },
      "source": [
        "! tail muniReus.csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-wJYH9olwG76"
      },
      "source": [
        "### Subvencions i ajudes públiques"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pff-0f-tQI2p"
      },
      "source": [
        "# Sistema Nacional de Publicidad de Subvenciones y Ayudas Públicas\n",
        "# https://www.infosubvenciones.es/bdnstrans/GE/es/convocatorias"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W2151DaWQI2w"
      },
      "source": [
        "!wget -O AjPublicas.csv \"h\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1eLHLkfbQI2z"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sPjYwdEfQI23"
      },
      "source": [
        "! head AjPublicas.csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QiE6bG8XQI24"
      },
      "source": [
        "! tail AjPublicas.csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X7I9hfuRQYLa"
      },
      "source": [
        "# Reus: subvencions ajuntament\n",
        "# https://opendata.reus.cat/dataset/subv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rQ_wP4b1QYLf",
        "outputId": "720240af-69b5-4341-c4f3-188deae69698"
      },
      "source": [
        "!wget --no-check-certificate -O ajPublicasReus.csv \"https://opendata.reus.cat/datastore/dump/da6c4730-b8c8-4a0e-b027-d98a6654baaa?format=csv&bom=true\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-03-25 22:19:03--  https://opendata.reus.cat/datastore/dump/da6c4730-b8c8-4a0e-b027-d98a6654baaa?format=csv&bom=true\n",
            "Resolving opendata.reus.cat (opendata.reus.cat)... 213.0.28.29\n",
            "Connecting to opendata.reus.cat (opendata.reus.cat)|213.0.28.29|:443... connected.\n",
            "WARNING: cannot verify opendata.reus.cat's certificate, issued by ‘CN=Sectigo RSA Organization Validation Secure Server CA,O=Sectigo Limited,L=Salford,ST=Greater Manchester,C=GB’:\n",
            "  Unable to locally verify the issuer's authority.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [text/csv]\n",
            "Saving to: ‘ajPublicasReus.csv’\n",
            "\n",
            "ajPublicasReus.csv      [      <=>           ] 362.04K   262KB/s    in 1.4s    \n",
            "\n",
            "2021-03-25 22:19:06 (262 KB/s) - ‘ajPublicasReus.csv’ saved [370728]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0VZ6zRkqQYLh",
        "outputId": "130fac94-6fa8-4f8e-9f5a-36d1e98cff4a"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 8.4M\n",
            "drwxr-xr-x 1 root root 4.0K Mar 25 22:19 .\n",
            "drwxr-xr-x 1 root root 4.0K Mar 25 21:33 ..\n",
            "-rw-r--r-- 1 root root 3.1M Mar 25 21:50 actCultReus.csv\n",
            "-rw-r--r-- 1 root root 1.4M Mar 25 21:36 actEcnReus.csv\n",
            "-rw-r--r-- 1 root root 3.6M Mar 25 21:36 actEcnReusHist.csv\n",
            "-rw-r--r-- 1 root root 363K Mar 25 22:19 ajPublicasReus.csv\n",
            "drwxr-xr-x 4 root root 4.0K Mar 18 13:36 .config\n",
            "drwxr-xr-x 1 root root 4.0K Mar 18 13:36 sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j_O62ampQYLi",
        "outputId": "82461f49-a054-426a-cbe1-b48893063abf"
      },
      "source": [
        "! head ajPublicasReus.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "﻿_id,EXERCICI,ANY PUBLICACIÓ,TIPUS CONVOCATÒRIA,CODI BDNS,MARGINAL,ORDINAL,TIPUS NORMATIVA,CONVOCATÒRIA,IMPORT CONVOCATÒRIA,BENEFICIARI,DATA CONCESSIÓ,IMPORT DEMANAT,IMPORT CONCEDIT,IMPORT JUSTIFICAT,PARTIDA PRESSUPOSTÀRIA,CENTRE GESTOR,SEXE\r\n",
            "1,2018,2018,Altres concessions directes,507879,688199,28,Normativa de Cataluña,\"PROJECTE T'AJUDEM A CRÉIXER, LLAR D'INFANTS BARRUFET CURS 2018-2019\",9535.00,19 BENEFICIARIS,          ,10614.00,9535.00,9535.00,30422-23105-489       ,SERVEIS SOCIALS,\"\"\n",
            "2,2018,2018,Convocatòria per conveni,508076,688199,21,Normativa local,SUBV. LLAR INFANTS EL BARRUFET GENER-JUNY 2018,3790.00,6 BENEFICIARIS,          ,3790.00,3790.00,3790.00,30422-23105-489       ,SERVEIS SOCIALS,\"\"\n",
            "3,2020,2020,Concurrència competitiva,518054,688050,0,Normativa local,FOMENT AL MANTENIMENT D'UN HABITATGE EN PROPIETAT,33839.48,252 BENEFICIARIS,          ,19836.48,19836.48,19547.59,21108-23101-489       ,SERVEIS GENERALS,\"\"\n",
            "4,2020,2020,Concurrència competitiva,518053,688049,0,Normativa local,AJUT ALS USUARIS DEL SERVEI DE RECEPCIÓ OBLIGATÒRIA DE RECOLLIDA D'ESCOMBRARIES 2020,73184.50,331 BENEFICIARIS,          ,38180.50,38180.50,32295.26,21108-23101-489       ,SERVEIS GENERALS,\"\"\n",
            "5,2018,2018,Altres concessions directes,398229,688037,0,Normativa de Cataluña,SUBVENCIÓN DIRECTA A LA LLAR D'INFANTS EL BARRUFET CURSO 2017-18,2604.00,8 BENEFICIARIS,          ,2604.00,2604.00,2604.00,30422-23105-489       ,SERVEIS SOCIALS,\"\"\n",
            "6,2018,2015,Concurrència competitiva,395466,688035,0,Normativa local,\"SUBVENCIONS LLOGUER SOCIAL 2018 \"\"BORSA D'HABITATGE ASSEQUIBLE\"\"\",66007.77,42 BENEFICIARIS,          ,66007.77,66007.77,66007.77,40833-15211-489       ,HABITATGE,\"\"\n",
            "7,2018,2015,Concurrència competitiva,390028,688023,0,Normativa local,FOMENT AL SERVEI PÚBLIC DE PROVEÏMENT I SANEJAMENT D'AIGUA POTABLE 2018,107046.23,989 BENEFICIARIS,          ,108244.51,107029.23,104009.23,30422-23107-489       ,SERVEIS SOCIALS,\"\"\n",
            "8,2018,2018,Altres concessions directes,507937,688027,1,Normativa local,SUBVENCIO DIRECTA CASALS ESTIU 2018,15350.00,85 BENEFICIARIS,          ,11323.00,11087.00,11321.00,30422-23109-489       ,SERVEIS SOCIALS,\"\"\n",
            "9,2018,2015,Altres concessions directes,390006,688024,0,Normativa local,SUBVENCIO POBRESA ENERGETICA 2017-2018,124576.19,782 BENEFICIARIS,          ,124436.19,124436.19,124436.19,30422-23107-489       ,SERVEIS SOCIALS,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y7ugIzxfQYLn",
        "outputId": "bb88f701-d40f-43a2-bf8f-6208f03a9881"
      },
      "source": [
        "! tail ajPublicasReus.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1491,2019,2019,Altres concessions directes,444634,688015,0,Normativa local,NOVENA EDICIÓ PREMI BECA ROSETA MAURI,4000.00,ASSOC PROFESSORS DE DANSA DE LES COMARQUES TARRAGONA,13/03/2019,4000.00,4000.00,4000.00,31425-33000-489       ,CULTURA,\"\"\n",
            "1492,2020,2020,Concurrència competitiva,502281,688019,0,Normativa local,FOMENT DE CASALS D'ESTIU PER A INFANTS DE 3 A 12 ANYS A LA CIUTAT DE REUS,14456.00,AMIPA LA VITXETA,30/11/2020,118.00,118.00,118.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1493,2020,2020,Concurrència competitiva,502281,688019,0,Normativa local,FOMENT DE CASALS D'ESTIU PER A INFANTS DE 3 A 12 ANYS A LA CIUTAT DE REUS,14456.00,AMIPA LA VITXETA,20/07/2020,1920.00,1920.00,1920.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1494,2019,2014,Concurrència competitiva,446994,688018,0,Normativa local,FOMENT CASALS ESTIU 2019,33754.51,AMIPA LA VITXETA,17/05/2019,3990.00,3476.00,3476.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1495,2018,2014,Concurrència competitiva,390914,688027,0,Normativa local,FOMENT ORGANITZACIÓ CASALS D'ESTIU 2018,33021.74,AMIPA LA VITXETA,17/12/2018,1292.00,1292.00,1292.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1496,2018,2014,Concurrència competitiva,390914,688027,0,Normativa local,FOMENT ORGANITZACIÓ CASALS D'ESTIU 2018,33021.74,AMIPA LA VITXETA,21/05/2018,3010.00,3010.00,3010.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1497,2020,2020,Convocatòria nominativa,547755,688198,36,Normativa local,PROJECTE INVESTIGACIÓ COVID-19,15000.00,FUNDACIO INSTITUT D INVESTIGACIO SANITARIA PERE VIRGILI,23/12/2020,15000.00,15000.00,0.00,20906-43300-489       ,ECONOMIA I CONEIXEMENT,\"\"\n",
            "1498,2019,2019,Convocatòria per conveni,456096,688199,26,Normativa local,CASAL ESTIU ADAPTAT AMPA CEEP ALBA,27283.82,AMPA ESCOLA ALBA DE REUS,18/12/2019,4400.00,3783.82,4400.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1499,2019,2019,Convocatòria per conveni,456096,688199,26,Normativa local,CASAL ESTIU ADAPTAT AMPA CEEP ALBA,27283.82,AMPA ESCOLA ALBA DE REUS,14/05/2019,23500.00,23500.00,23500.00,30919-32630-489       ,EDUCACIÓ,\"\"\n",
            "1500,2018,2018,Convocatòria per conveni,403748,688199,7,Normativa de Cataluña,SUBVENCIO CASAL ESTIU ADAPTAT AMPA CEEP ALBA,22262.95,AMPA ESCOLA ALBA DE REUS,13/06/2018,23500.00,22262.95,22262.95,30919-32630-489       ,EDUCACIÓ,\"\"\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jJ9jvPXwwPjj"
      },
      "source": [
        "### Unemployment/ Hiring w/Contract"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EuI1e9WcQYpE"
      },
      "source": [
        "# Collect global data Province/Municipalities\n",
        "# https://www.sepe.es/HomeSepe/dam/jcr:1cedb52a-852d-46a5-95ac-86e697378b94/ESTADISTICA_MUNICIPIOS.xls"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gvE2hZjIQYpH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "574a5146-506a-4c1f-e6b2-20ce0ce42d71"
      },
      "source": [
        "!wget -O TgnAll0321.xls \"https://www.sepe.es/HomeSepe/dam/jcr:1cedb52a-852d-46a5-95ac-86e697378b94/ESTADISTICA_MUNICIPIOS.xls\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-05-06 18:06:30--  https://www.sepe.es/HomeSepe/dam/jcr:1cedb52a-852d-46a5-95ac-86e697378b94/ESTADISTICA_MUNICIPIOS.xls\n",
            "Resolving www.sepe.es (www.sepe.es)... 195.57.139.164\n",
            "Connecting to www.sepe.es (www.sepe.es)|195.57.139.164|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 200\n",
            "Length: 3095552 (3.0M) [application/vnd.ms-excel]\n",
            "Saving to: ‘TgnAll0321.xls’\n",
            "\n",
            "TgnAll0321.xls      100%[===================>]   2.95M  1.10MB/s    in 2.7s    \n",
            "\n",
            "2021-05-06 18:06:33 (1.10 MB/s) - ‘TgnAll0321.xls’ saved [3095552/3095552]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8clp2kmVQYpJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a2b4c4e6-87df-4fce-8161-cdcc5a2ac84d"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 6.0M\n",
            "drwxr-xr-x 1 root root 4.0K May  6 18:06 .\n",
            "drwxr-xr-x 1 root root 4.0K May  6 17:57 ..\n",
            "drwxr-xr-x 4 root root 4.0K Apr 21 13:38 .config\n",
            "drwxr-xr-x 1 root root 4.0K Apr 21 13:39 sample_data\n",
            "-rw-r--r-- 1 root root 3.0M Apr 15 07:08 TgnAll0321.csv\n",
            "-rw-r--r-- 1 root root 3.0M Apr 15 07:08 TgnAll0321.xls\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-WhjkD_cQYpK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "661b33f7-394a-4f24-ce1f-f08c35aedccd"
      },
      "source": [
        "! head TgnAll0321.xls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "��\u0011ࡱ\u001a�\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000>\u0000\u0003\u0000��\t\u0000\u0006\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u00000\u0000\u0000\u0000�\u0017\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0010\u0000\u0000����\u0000\u0000\u0000\u0000����\u0000\u0000\u0000\u0000l\u0017\u0000\u0000m\u0017\u0000\u0000n\u0017\u0000\u0000o\u0017\u0000\u0000p\u0017\u0000\u0000q\u0017\u0000\u0000r\u0017\u0000\u0000s\u0017\u0000\u0000t\u0017\u0000\u0000u\u0017\u0000\u0000v\u0017\u0000\u0000w\u0017\u0000\u0000x\u0017\u0000\u0000y\u0017\u0000\u0000z\u0017\u0000\u0000{\u0017\u0000\u0000|\u0017\u0000\u0000}\u0017\u0000\u0000~\u0017\u0000\u0000\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000�\u0017\u0000\u0000����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������\t\b\u0010\u0000\u0000\u0006\u0005\u0000T8�\u0007�\u0000\u0002\u0000\u0006\b\u0000\u0000�\u0000\u0002\u0000�\u0004�\u0000\u0002\u0000\u0000\u0000�\u0000\u0000\u0000\\\u0000p\u0000\u0007\u0000\u0000sgei010                                                                                                      B\u0000\u0002\u0000�\u0004a\u0001\u0002\u0000\u0000\u0000�\u0001\u0000\u0000=\u0001�\u0000j\u0000k\u0000\u0001\u0000\u0002\u0000\u0003\u0000\u0004\u0000\u0005\u0000\u0006\u0000\u0007\u0000\b\u0000\t\u0000\n",
            "\u0000\u000b\u0000\f\u0000\r\u0000\u000e\u0000\u000f\u0000\u0010\u0000\u0011\u0000\u0012\u0000\u0013\u0000\u0014\u0000\u0015\u0000\u0016\u0000\u0017\u0000\u0018\u0000\u0019\u0000\u001a\u0000\u001b\u0000\u001c\u0000\u001d\u0000\u001e\u0000\u001f\u0000 \u0000!\u0000\"\u0000#\u0000$\u0000%\u0000&\u0000'\u0000(\u0000)\u0000*\u0000+\u0000,\u0000-\u0000.\u0000/\u00000\u00001\u00002\u00003\u00004\u00005\u00006\u00007\u00008\u00009\u0000:\u0000;\u0000<\u0000=\u0000>\u0000?\u0000@\u0000A\u0000B\u0000C\u0000D\u0000E\u0000F\u0000G\u0000H\u0000I\u0000J\u0000K\u0000L\u0000M\u0000N\u0000O\u0000P\u0000Q\u0000R\u0000S\u0000T\u0000U\u0000V\u0000W\u0000X\u0000Y\u0000Z\u0000[\u0000\\\u0000]\u0000^\u0000_\u0000`\u0000a\u0000b\u0000c\u0000d\u0000e\u0000f\u0000g\u0000h\u0000i\u0000�\u0000\u0002\u0000\u0011\u0000\u0019\u0000\u0002\u0000\u0000\u0000\u0012\u0000\u0002\u0000\u0000\u0000\u0013\u0000\u0002\u0000\u0000\u0000�\u0001\u0002\u0000\u0000\u0000�\u0001\u0002\u0000\u0000\u0000=\u0000\u0012\u0000\u0000\u0000\u0000\u0000�p*08\u0000\u0000\u0000\u0000\u0000\u0001\u0000X\u0002@\u0000\u0002\u0000\u0000\u0000�\u0000\u0002\u0000\u0000\u0000\"\u0000\u0002\u0000\u0000\u0000\u000e\u0000\u0002\u0000\u0001\u0000�\u0001\u0002\u0000\u0000\u0000�\u0000\u0002\u0000\u0000\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000*\u0000h\u0001\u0000\u00006\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\r\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u0000 \u0000L\u0000i\u0000g\u0000h\u0000t\u00001\u0000\u001e\u0000,\u0001\u0001\u00006\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000\u0004\u0001\u0001\u00006\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0001\u00006\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\u0011\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\u0014\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000<\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000>\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0001\u0000?\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0001\u00004\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u00004\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0001\u0000\t\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\n",
            "\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0002\u0000\u0017\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0001\u0000\b\u0000�\u0002\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001e\u0000�\u0000\u0000\u0000\t\u0000�\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0007\u0001C\u0000a\u0000l\u0000i\u0000b\u0000r\u0000i\u00001\u0000\u001a\u0000�\u0000\u0000\u0000��\u0001\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000x\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000�\u0000\u0001\u0000\b\u0000�\u0002\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000x\u0000\u0001\u0000\t\u0000�\u0002\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000x\u0000\u0001\u0000\b\u0000�\u0002\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000�\u0000\u0001\u0000\t\u0000�\u0002\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\u001a\u0000�\u0000\u0000\u0000\b\u0000�\u0001\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0001A\u0000r\u0000i\u0000a\u0000l\u00001\u0000\"\u0000�\u0001\u0000\u0000��\u0001\u0000\u0000\u0000\u0002\u0000\u0000\t\u0001G\u0000i\u0000l\u0000l\u0000 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            "\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\u0001\u0000\u0000\u0000_-;_-* \"\u000e\u0000\u0005\u0000\u0002}\b-\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u000b\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\u0001\u0000\u0000\u0000_-;_-* \"\u000e\u0000\u0005\u0000\u0002}\b-\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\f\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\u0001\u0000\u0000\u0000_-;_-* \"\u000e\u0000\u0005\u0000\u0002}\b-\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\r\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\u0001\u0000\u0000\u0000_-;_-* 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\"\u000e\u0000\u0005\u0000\u0002\u0004\u0000\u0014\u0000\u0002\u0000\u0000\u0000����#\u0000#\u00000\u0000.\u0000}\bA\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u00006\u0000\u0000\u0000\u0003\u0000\r\u0000\u0014\u0000\u0002\u0000\u0000\u0000�e\u0000�_-;_-* \"\u000e\u0000\u0005\u0000\u0002\u0004\u0000\u0014\u0000\u0002\u0000\u0000\u0000���#\u0000#\u00000\u0000.\u0000}\b�\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000.\u0000\u0000\u0000\u0007\u0000\r\u0000\u0014\u0000\u0002\u0000\u0000\u0000??v�_-;_-* \"\u000e\u0000\u0005\u0000\u0002\u0004\u0000\u0014\u0000\u0002\u0000\u0000\u0000�̙�#\u0000#\u00000\u0000.\u0000\u0007\u0000\u0014\u0000\u0002\u0000\u0000\u0000�\"\u0000_\u0000-\u0000;\u0000\b\u0000\u0014\u0000\u0002\u0000\u0000\u0000�\"\u0000?\u0000?\u0000\\\u0000\t\u0000\u0014\u0000\u0002\u0000\u0000\u0000�;\u0000_\u0000-\u0000@\u0000\n",
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\"\u000e\u0000\u0005\u0000\u0002}\b-\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000[\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\u0001\u0000\u0000\u0000_-;_-* \"\u000e\u0000\u0005\u0000\u0002}\b-\u0000}\b\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000/\u0000\u0000\u0000\u0002\u0000\r\u0000\u0014\u0000\u0003\u0000\u0000\u0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N9u0DmxdQYpL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9ec6cfaf-07bb-40b2-e310-23aae7b93e6b"
      },
      "source": [
        "! tail TgnAll0321.xls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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\u0017\u0000\u0000!\u0017\u0000\u0000\"\u0017\u0000\u0000#\u0017\u0000\u0000$\u0017\u0000\u0000%\u0017\u0000\u0000&\u0017\u0000\u0000'\u0017\u0000\u0000(\u0017\u0000\u0000)\u0017\u0000\u0000*\u0017\u0000\u0000+\u0017\u0000\u0000,\u0017\u0000\u0000-\u0017\u0000\u0000.\u0017\u0000\u0000/\u0017\u0000\u00000\u0017\u0000\u00001\u0017\u0000\u00002\u0017\u0000\u00003\u0017\u0000\u00004\u0017\u0000\u00005\u0017\u0000\u00006\u0017\u0000\u00007\u0017\u0000\u00008\u0017\u0000\u00009\u0017\u0000\u0000:\u0017\u0000\u0000;\u0017\u0000\u0000<\u0017\u0000\u0000=\u0017\u0000\u0000>\u0017\u0000\u0000?\u0017\u0000\u0000@\u0017\u0000\u0000A\u0017\u0000\u0000B\u0017\u0000\u0000C\u0017\u0000\u0000D\u0017\u0000\u0000E\u0017\u0000\u0000F\u0017\u0000\u0000G\u0017\u0000\u0000H\u0017\u0000\u0000I\u0017\u0000\u0000J\u0017\u0000\u0000K\u0017\u0000\u0000L\u0017\u0000\u0000M\u0017\u0000\u0000N\u0017\u0000\u0000O\u0017\u0000\u0000P\u0017\u0000\u0000Q\u0017\u0000\u0000R\u0017\u0000\u0000S\u0017\u0000\u0000T\u0017\u0000\u0000����V\u0017\u0000\u0000W\u0017\u0000\u0000X\u0017\u0000\u0000Y\u0017\u0000\u0000Z\u0017\u0000\u0000[\u0017\u0000\u0000\\\u0017\u0000\u0000����^\u0017\u0000\u0000_\u0017\u0000\u0000`\u0017\u0000\u0000a\u0017\u0000\u0000b\u0017\u0000\u0000c\u0017\u0000\u0000d\u0017\u0000\u0000e\u0017\u0000\u0000f\u0017\u0000\u0000g\u0017\u0000\u0000h\u0017\u0000\u0000i\u0017\u0000\u0000j\u0017\u0000\u0000k\u0017\u0000\u0000��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������R\u0000o\u0000o\u0000t\u0000 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\b\u0002\u0000\u0000\u0000\u0000\u0000�\u0000\u0000\u0000\u0000\u0000\u0000F\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000����\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000W\u0000o\u0000r\u0000k\u0000b\u0000o\u0000o\u0000k\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0012\u0000\u0002\u0001������������\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000��.\u0000\u0000\u0000\u0000\u0000\u0005\u0000S\u0000u\u0000m\u0000m\u0000a\u0000r\u0000y\u0000I\u0000n\u0000f\u0000o\u0000r\u0000m\u0000a\u0000t\u0000i\u0000o\u0000n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000(\u0000\u0002\u0001\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000����\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000U\u0017\u0000\u0000\u0000\u0010\u0000\u0000\u0000\u0000\u0000\u0000\u0005\u0000D\u0000o\u0000c\u0000u\u0000m\u0000e\u0000n\u0000t\u0000S\u0000u\u0000m\u0000m\u0000a\u0000r\u0000y\u0000I\u0000n\u0000f\u0000o\u0000r\u0000m\u0000a\u0000t\u0000i\u0000o\u0000n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u00008\u0000\u0002\u0001������������\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000]\u0017\u0000\u0000\u0018\u001c\u0000\u0000\u0000\u0000\u0000\u0000"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tVbax5J-4lcB",
        "outputId": "688c46eb-da8e-4348-f959-7dc4b56e999e"
      },
      "source": [
        "!ssconvert TgnAll0321.xls TgnAll0321.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/bin/bash: ssconvert: command not found\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ROijL8oN5AZW"
      },
      "source": [
        "!rm TgnAll0321.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mwFzrWlMQY5N"
      },
      "source": [
        "# \n",
        "# "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8WH7IQ_r1ksl"
      },
      "source": [
        "!wget -O csv.csv \"h\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HhjdnYm_1ksn",
        "outputId": "b7b150f3-fcf2-4d60-828e-b269f9d13e0d"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 3.0M\n",
            "drwxr-xr-x 1 root root 4.0K May  6 18:14 .\n",
            "drwxr-xr-x 1 root root 4.0K May  6 17:57 ..\n",
            "drwxr-xr-x 4 root root 4.0K Apr 21 13:38 .config\n",
            "drwxr-xr-x 1 root root 4.0K Apr 21 13:39 sample_data\n",
            "-rw-r--r-- 1 root root 3.0M Apr 15 07:08 TgnAll0321.xls\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RtbJygqM1kso"
      },
      "source": [
        "! head .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PGwbsfnU1ksq"
      },
      "source": [
        "! tail .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fq4YaBwM1ndw"
      },
      "source": [
        "### BlahBlah"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DZbcUHHS1x4P"
      },
      "source": [
        "!wget -O csv.csv \"h\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T3A9H-Kr1x4P"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zy694-Uh1x4Q"
      },
      "source": [
        "! head .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Um2AptTu1x4R"
      },
      "source": [
        "! tail .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Xk-lIAv11cC"
      },
      "source": [
        "### BlahBlah"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1jxC2dyb11cD"
      },
      "source": [
        "!wget -O csv.csv \"h\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FjZ7Dhct11cF"
      },
      "source": [
        "!ls -lah"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UviOo05O11cH"
      },
      "source": [
        "! head .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PPHRfotS11cK"
      },
      "source": [
        "! tail .csv.csv"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}