Dataufo.ipynb

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    "colab": {
      "name": "Dataufo.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPCNEIY1tDsOkE55fYecFCC",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Dai-7/datascience_alura/blob/main/Dataufo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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      "cell_type": "code",
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          "height": 598
        },
        "id": "UFFQvuq2W9EG",
        "outputId": "ec1a430d-ea22-4f54-c2fd-b43dfbe339b7"
      },
      "source": [
        " import pandas as pd\n",
        " \n",
        " url_dados='https://query.data.world/s/hrntdsmvc6sj2j2tts4kx4h3cng5i3'\n",
        " dados = pd.read_csv(url_dados)\n",
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>summary</th>\n",
              "      <th>city</th>\n",
              "      <th>state</th>\n",
              "      <th>date_time</th>\n",
              "      <th>shape</th>\n",
              "      <th>duration</th>\n",
              "      <th>stats</th>\n",
              "      <th>report_link</th>\n",
              "      <th>text</th>\n",
              "      <th>posted</th>\n",
              "      <th>city_latitude</th>\n",
              "      <th>city_longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>My wife was driving southeast on a fairly popu...</td>\n",
              "      <td>Chester</td>\n",
              "      <td>VA</td>\n",
              "      <td>2019-12-12T18:43:00</td>\n",
              "      <td>light</td>\n",
              "      <td>5 seconds</td>\n",
              "      <td>Occurred : 12/12/2019 18:43  (Entered as : 12/...</td>\n",
              "      <td>http://www.nuforc.org/webreports/151/S151739.html</td>\n",
              "      <td>My wife was driving southeast on a fairly popu...</td>\n",
              "      <td>2019-12-22T00:00:00</td>\n",
              "      <td>37.343152</td>\n",
              "      <td>-77.408582</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>I think that I may caught a UFO on the NBC Nig...</td>\n",
              "      <td>Rocky Hill</td>\n",
              "      <td>CT</td>\n",
              "      <td>2019-03-22T18:30:00</td>\n",
              "      <td>circle</td>\n",
              "      <td>3-5 seconds</td>\n",
              "      <td>Occurred : 3/22/2019 18:30  (Entered as : 03/2...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145297.html</td>\n",
              "      <td>I think that I may caught a UFO on the NBC Nig...</td>\n",
              "      <td>2019-03-29T00:00:00</td>\n",
              "      <td>41.664800</td>\n",
              "      <td>-72.639300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>I woke up late in the afternoon 3:30-4pm. I we...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Occurred : 4/1/2019 15:45  (Entered as : April...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145556.html</td>\n",
              "      <td>I woke up late in the afternoon 3:30-4pm.  I w...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>I was driving towards the intersection of fall...</td>\n",
              "      <td>Ottawa</td>\n",
              "      <td>ON</td>\n",
              "      <td>2019-04-17T02:00:00</td>\n",
              "      <td>teardrop</td>\n",
              "      <td>10 seconds</td>\n",
              "      <td>Occurred : 4/17/2019 02:00  (Entered as : 04-1...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145697.html</td>\n",
              "      <td>I was driving towards the intersection of fall...</td>\n",
              "      <td>2019-04-18T00:00:00</td>\n",
              "      <td>45.381383</td>\n",
              "      <td>-75.708501</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>In Peoria Arizona, I saw a cigar shaped craft ...</td>\n",
              "      <td>Peoria</td>\n",
              "      <td>NY</td>\n",
              "      <td>2009-03-15T18:00:00</td>\n",
              "      <td>cigar</td>\n",
              "      <td>2 minutes</td>\n",
              "      <td>Occurred : 3/15/2009 18:00  (Entered as : 03/1...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145723.html</td>\n",
              "      <td>In Peoria, Arizona, I saw a cigar shaped craft...</td>\n",
              "      <td>2019-04-18T00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "                                             summary  ... city_longitude\n",
              "0  My wife was driving southeast on a fairly popu...  ...     -77.408582\n",
              "1  I think that I may caught a UFO on the NBC Nig...  ...     -72.639300\n",
              "2  I woke up late in the afternoon 3:30-4pm. I we...  ...            NaN\n",
              "3  I was driving towards the intersection of fall...  ...     -75.708501\n",
              "4  In Peoria Arizona, I saw a cigar shaped craft ...  ...            NaN\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
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      "source": [
        "dados.head"
      ],
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of                                                  summary  ... city_longitude\n",
              "0      My wife was driving southeast on a fairly popu...  ...     -77.408582\n",
              "1      I think that I may caught a UFO on the NBC Nig...  ...     -72.639300\n",
              "2      I woke up late in the afternoon 3:30-4pm. I we...  ...            NaN\n",
              "3      I was driving towards the intersection of fall...  ...     -75.708501\n",
              "4      In Peoria Arizona, I saw a cigar shaped craft ...  ...            NaN\n",
              "...                                                  ...  ...            ...\n",
              "88120  4 lights in formation over Tempe appear while ...  ...    -111.920920\n",
              "88121  2 bright star like lights in the NNW skys,  ((...  ...     -93.399600\n",
              "88122  I just witnessed a ‘Phoenix Lights’ type of fo...  ...     -82.223280\n",
              "88123  Witnessed an orange, slow moving light. Was lo...  ...     -82.313200\n",
              "88124  Glowing lights in formation  just south of San...  ...            NaN\n",
              "\n",
              "[88125 rows x 12 columns]>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
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        },
        "id": "3rdT8ebrr_ON",
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      },
      "source": [
        "dados.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(88125, 12)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
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      "source": [
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>summary</th>\n",
              "      <th>city</th>\n",
              "      <th>state</th>\n",
              "      <th>date_time</th>\n",
              "      <th>shape</th>\n",
              "      <th>duration</th>\n",
              "      <th>stats</th>\n",
              "      <th>report_link</th>\n",
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              "      <th>posted</th>\n",
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              "      <th>city_longitude</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>My wife was driving southeast on a fairly popu...</td>\n",
              "      <td>Chester</td>\n",
              "      <td>VA</td>\n",
              "      <td>2019-12-12T18:43:00</td>\n",
              "      <td>light</td>\n",
              "      <td>5 seconds</td>\n",
              "      <td>Occurred : 12/12/2019 18:43  (Entered as : 12/...</td>\n",
              "      <td>http://www.nuforc.org/webreports/151/S151739.html</td>\n",
              "      <td>My wife was driving southeast on a fairly popu...</td>\n",
              "      <td>2019-12-22T00:00:00</td>\n",
              "      <td>37.343152</td>\n",
              "      <td>-77.408582</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>I think that I may caught a UFO on the NBC Nig...</td>\n",
              "      <td>Rocky Hill</td>\n",
              "      <td>CT</td>\n",
              "      <td>2019-03-22T18:30:00</td>\n",
              "      <td>circle</td>\n",
              "      <td>3-5 seconds</td>\n",
              "      <td>Occurred : 3/22/2019 18:30  (Entered as : 03/2...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145297.html</td>\n",
              "      <td>I think that I may caught a UFO on the NBC Nig...</td>\n",
              "      <td>2019-03-29T00:00:00</td>\n",
              "      <td>41.664800</td>\n",
              "      <td>-72.639300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>I woke up late in the afternoon 3:30-4pm. I we...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Occurred : 4/1/2019 15:45  (Entered as : April...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145556.html</td>\n",
              "      <td>I woke up late in the afternoon 3:30-4pm.  I w...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>I was driving towards the intersection of fall...</td>\n",
              "      <td>Ottawa</td>\n",
              "      <td>ON</td>\n",
              "      <td>2019-04-17T02:00:00</td>\n",
              "      <td>teardrop</td>\n",
              "      <td>10 seconds</td>\n",
              "      <td>Occurred : 4/17/2019 02:00  (Entered as : 04-1...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145697.html</td>\n",
              "      <td>I was driving towards the intersection of fall...</td>\n",
              "      <td>2019-04-18T00:00:00</td>\n",
              "      <td>45.381383</td>\n",
              "      <td>-75.708501</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>In Peoria Arizona, I saw a cigar shaped craft ...</td>\n",
              "      <td>Peoria</td>\n",
              "      <td>NY</td>\n",
              "      <td>2009-03-15T18:00:00</td>\n",
              "      <td>cigar</td>\n",
              "      <td>2 minutes</td>\n",
              "      <td>Occurred : 3/15/2009 18:00  (Entered as : 03/1...</td>\n",
              "      <td>http://www.nuforc.org/webreports/145/S145723.html</td>\n",
              "      <td>In Peoria, Arizona, I saw a cigar shaped craft...</td>\n",
              "      <td>2019-04-18T00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "                                             summary  ... city_longitude\n",
              "0  My wife was driving southeast on a fairly popu...  ...     -77.408582\n",
              "1  I think that I may caught a UFO on the NBC Nig...  ...     -72.639300\n",
              "2  I woke up late in the afternoon 3:30-4pm. I we...  ...            NaN\n",
              "3  I was driving towards the intersection of fall...  ...     -75.708501\n",
              "4  In Peoria Arizona, I saw a cigar shaped craft ...  ...            NaN\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
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        "id": "SSqQwpg7sOZh",
        "outputId": "ef344f1a-9347-47ca-d1ff-eb92fccb2fd2"
      },
      "source": [
        "dados['city']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0               Chester\n",
              "1            Rocky Hill\n",
              "2                   NaN\n",
              "3                Ottawa\n",
              "4                Peoria\n",
              "              ...      \n",
              "88120             Tempe\n",
              "88121           Bolivar\n",
              "88122        North Port\n",
              "88123    Black Mountain\n",
              "88124      Marin County\n",
              "Name: city, Length: 88125, dtype: object"
            ]
          },
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            "tags": []
          },
          "execution_count": 10
        }
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        "outputId": "a14362e8-25ad-49cd-8221-c3cae5e83bf0"
      },
      "source": [
        "dados['state']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         VA\n",
              "1         CT\n",
              "2        NaN\n",
              "3         ON\n",
              "4         NY\n",
              "        ... \n",
              "88120     AZ\n",
              "88121     MO\n",
              "88122     FL\n",
              "88123     NC\n",
              "88124     CA\n",
              "Name: state, Length: 88125, dtype: object"
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      },
      "source": [
        "dados[\"date_time\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        2019-12-12T18:43:00\n",
              "1        2019-03-22T18:30:00\n",
              "2                        NaN\n",
              "3        2019-04-17T02:00:00\n",
              "4        2009-03-15T18:00:00\n",
              "                ...         \n",
              "88120    2019-10-02T20:00:00\n",
              "88121    2019-10-02T20:00:00\n",
              "88122    2019-10-02T20:03:00\n",
              "88123    2019-10-02T22:00:00\n",
              "88124    2019-10-02T22:00:00\n",
              "Name: date_time, Length: 88125, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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        },
        "id": "jxm6xpBYs8PX",
        "outputId": "3553c7bf-bb12-464d-90c4-3e326494125e"
      },
      "source": [
        "dados['report_link']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        http://www.nuforc.org/webreports/151/S151739.html\n",
              "1        http://www.nuforc.org/webreports/145/S145297.html\n",
              "2        http://www.nuforc.org/webreports/145/S145556.html\n",
              "3        http://www.nuforc.org/webreports/145/S145697.html\n",
              "4        http://www.nuforc.org/webreports/145/S145723.html\n",
              "                               ...                        \n",
              "88120    http://www.nuforc.org/webreports/149/S149463.html\n",
              "88121    http://www.nuforc.org/webreports/149/S149405.html\n",
              "88122    http://www.nuforc.org/webreports/149/S149424.html\n",
              "88123    http://www.nuforc.org/webreports/149/S149447.html\n",
              "88124    http://www.nuforc.org/webreports/149/S149436.html\n",
              "Name: report_link, Length: 88125, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
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        "id": "BfUlYaPMtGed",
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      },
      "source": [
        "dados['shape']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0            light\n",
              "1           circle\n",
              "2              NaN\n",
              "3         teardrop\n",
              "4            cigar\n",
              "           ...    \n",
              "88120    formation\n",
              "88121        light\n",
              "88122    formation\n",
              "88123     fireball\n",
              "88124       sphere\n",
              "Name: shape, Length: 88125, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
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      },
      "source": [
        "dados['shape'].value_counts(normalize =True )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "light        0.212900\n",
              "circle       0.118304\n",
              "triangle     0.092377\n",
              "fireball     0.082859\n",
              "unknown      0.072197\n",
              "sphere       0.070830\n",
              "other        0.067140\n",
              "disk         0.052810\n",
              "oval         0.045044\n",
              "formation    0.033190\n",
              "changing     0.024665\n",
              "cigar        0.023240\n",
              "flash        0.019562\n",
              "rectangle    0.018651\n",
              "cylinder     0.016046\n",
              "diamond      0.014867\n",
              "chevron      0.011130\n",
              "teardrop     0.008957\n",
              "egg          0.007778\n",
              "cone         0.004076\n",
              "cross        0.003375\n",
              "Name: shape, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2W9CUuSxtxIt",
        "outputId": "ef55ed3c-abfb-4a31-cb58-5bca0e7919f7"
      },
      "source": [
        "dados['city'].value_counts(normalize =True )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "New York                                                  0.005746\n",
              "Phoenix                                                   0.005279\n",
              "Las Vegas                                                 0.004642\n",
              "Portland                                                  0.004426\n",
              "Seattle                                                   0.004380\n",
              "                                                            ...   \n",
              "Badin                                                     0.000011\n",
              "Cabo san Lucas (Mexico)                                   0.000011\n",
              "Passenger plane, in sea between North Spain and France    0.000011\n",
              "Colusa                                                    0.000011\n",
              "Tracadie Sheila                                           0.000011\n",
              "Name: city, Length: 16915, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "q7eL3dJEt03M",
        "outputId": "bd1d68a0-9267-46a0-a2b2-da0264adf41a"
      },
      "source": [
        "dados['shape'].value_counts().plot.pie()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5182b7ef50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "id": "nIIxCJPyt84F",
        "outputId": "544f9d10-999f-45b4-b37f-e1167da73f73"
      },
      "source": [
        "dados['shape'].value_counts().plot.bar()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5182acc7d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "2Y0v6BShuHPV",
        "outputId": "e027c6dd-230b-4018-9d98-b9f68d9b1dfb"
      },
      "source": [
        "#dados\n",
        "dados_filtrados = dados.query('shape == \"sphere\"')\n",
        "#dados_filtrados\n",
        "\n",
        "pd.crosstab(dados_filtrados['city'],dados_filtrados['shape']).sort_values(by='sphere', ascending=False)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>shape</th>\n",
              "      <th>sphere</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>city</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>New York</th>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Phoenix</th>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Seattle</th>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Diego</th>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Las Vegas</th>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Huatulco (Mexico)</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hubbard Lake</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hubert</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hugo</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>wednesbury</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3294 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "shape              sphere\n",
              "city                     \n",
              "New York               34\n",
              "Phoenix                32\n",
              "Seattle                31\n",
              "San Diego              30\n",
              "Las Vegas              29\n",
              "...                   ...\n",
              "Huatulco (Mexico)       1\n",
              "Hubbard Lake            1\n",
              "Hubert                  1\n",
              "Hugo                    1\n",
              "wednesbury              1\n",
              "\n",
              "[3294 rows x 1 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ku4d8dFDuoYU"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}