DataAnalysis.ipynb

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              "\n",
              "     <input type=\"file\" id=\"files-1ee5849e-bd68-4914-9a53-c81f854d22aa\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-1ee5849e-bd68-4914-9a53-c81f854d22aa\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
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              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
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              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
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              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving netflix_titles.csv to netflix_titles.csv\n"
          ]
        }
      ],
      "source": [
        "from google.colab import files\n",
        "uploaded=files.upload()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import io\n",
        "\n",
        "veri=pd.read_csv(io.BytesIO(uploaded['netflix_titles.csv']))"
      ],
      "metadata": {
        "id": "vQd9_QhKbY_J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "veri.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 643
        },
        "id": "UAM35dX5eK16",
        "outputId": "90171210-b083-43fe-e012-780b75c4bc94"
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      "execution_count": null,
      "outputs": [
        {
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              "  show_id     type                  title         director  \\\n",
              "0      s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   \n",
              "1      s2  TV Show          Blood & Water              NaN   \n",
              "2      s3  TV Show              Ganglands  Julien Leclercq   \n",
              "3      s4  TV Show  Jailbirds New Orleans              NaN   \n",
              "4      s5  TV Show           Kota Factory              NaN   \n",
              "\n",
              "                                                cast        country  \\\n",
              "0                                                NaN  United States   \n",
              "1  Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
              "2  Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
              "3                                                NaN            NaN   \n",
              "4  Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          India   \n",
              "\n",
              "           date_added  release_year rating   duration  \\\n",
              "0  September 25, 2021          2020  PG-13     90 min   \n",
              "1  September 24, 2021          2021  TV-MA  2 Seasons   \n",
              "2  September 24, 2021          2021  TV-MA   1 Season   \n",
              "3  September 24, 2021          2021  TV-MA   1 Season   \n",
              "4  September 24, 2021          2021  TV-MA  2 Seasons   \n",
              "\n",
              "                                           listed_in  \\\n",
              "0                                      Documentaries   \n",
              "1    International TV Shows, TV Dramas, TV Mysteries   \n",
              "2  Crime TV Shows, International TV Shows, TV Act...   \n",
              "3                             Docuseries, Reality TV   \n",
              "4  International TV Shows, Romantic TV Shows, TV ...   \n",
              "\n",
              "                                         description  \n",
              "0  As her father nears the end of his life, filmm...  \n",
              "1  After crossing paths at a party, a Cape Town t...  \n",
              "2  To protect his family from a powerful drug lor...  \n",
              "3  Feuds, flirtations and toilet talk go down amo...  \n",
              "4  In a city of coaching centers known to train I...  "
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              "      <td>Kota Factory</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
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              "      <td>TV-MA</td>\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c3594303-e0ad-441a-a764-2e3087c10888 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "veri",
              "summary": "{\n  \"name\": \"veri\",\n  \"rows\": 8807,\n  \"fields\": [\n    {\n      \"column\": \"show_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8807,\n        \"samples\": [\n          \"s4971\",\n          \"s3363\",\n          \"s5495\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"TV Show\",\n          \"Movie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8807,\n        \"samples\": [\n          \"Game Over, Man!\",\n          \"Arsenio Hall: Smart & Classy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"director\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4528,\n        \"samples\": [\n          \"Kanwal Sethi\",\n          \"R\\u00e9my Four, Julien War\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7692,\n        \"samples\": [\n          \"Tzi Ma, Christine Ko, Hong-Chi Lee, Hayden Szeto, Kunjue Li, Fiona Fu, James Saito, Joan Chen\",\n          \"Priyanshu Painyuli, Chandrachoor Rai, Shadab Kamal, Rajeev Siddhartha, Sheetal Thakur, Ninad Kamat, Swati Semwal, Eijaz Khan\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 748,\n        \"samples\": [\n          \"United States, United Kingdom, Denmark, Sweden\",\n          \"United Kingdom, Hong Kong\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date_added\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1767,\n        \"samples\": [\n          \"October 22, 2018\",\n          \"January 29, 2021\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 1925,\n        \"max\": 2021,\n        \"num_unique_values\": 74,\n        \"samples\": [\n          1996,\n          1969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 17,\n        \"samples\": [\n          \"PG-13\",\n          \"TV-MA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"duration\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 220,\n        \"samples\": [\n          \"37 min\",\n          \"177 min\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"listed_in\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 514,\n        \"samples\": [\n          \"Crime TV Shows, International TV Shows, TV Mysteries\",\n          \"Children & Family Movies, Classic Movies, Dramas\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8775,\n        \"samples\": [\n          \"A heedless teen drifter who falls for a small-town waitress makes the mistake of robbing a drug lord, putting his life and newfound love in jeopardy.\",\n          \"Twelve-year-old Calvin manages to join the navy and serves in the battle of Guadalcanal. But when his age is revealed, the boy is sent to the brig.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(veri.describe())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LF5C8hj8em23",
        "outputId": "6e72386e-625a-4910-84f3-18f489113a5c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       release_year\n",
            "count   8807.000000\n",
            "mean    2014.180198\n",
            "std        8.819312\n",
            "min     1925.000000\n",
            "25%     2013.000000\n",
            "50%     2017.000000\n",
            "75%     2019.000000\n",
            "max     2021.000000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(veri.info())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kX4a4C7cfTpk",
        "outputId": "720dd8c2-e3ad-4671-8370-6968addc130d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 8807 entries, 0 to 8806\n",
            "Data columns (total 12 columns):\n",
            " #   Column        Non-Null Count  Dtype \n",
            "---  ------        --------------  ----- \n",
            " 0   show_id       8807 non-null   object\n",
            " 1   type          8807 non-null   object\n",
            " 2   title         8807 non-null   object\n",
            " 3   director      6173 non-null   object\n",
            " 4   cast          7982 non-null   object\n",
            " 5   country       7976 non-null   object\n",
            " 6   date_added    8797 non-null   object\n",
            " 7   release_year  8807 non-null   int64 \n",
            " 8   rating        8803 non-null   object\n",
            " 9   duration      8804 non-null   object\n",
            " 10  listed_in     8807 non-null   object\n",
            " 11  description   8807 non-null   object\n",
            "dtypes: int64(1), object(11)\n",
            "memory usage: 825.8+ KB\n",
            "None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "sns.countplot(x='type', data=veri)\n",
        "plt.title('Movie\\'')\n",
        "plt.xlabel('içerik türü')\n",
        "plt.ylabel('sayı')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "bcR39P77f4Qe",
        "outputId": "fb16c71f-0949-4c1e-edca-c01f97f799c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GYeHpNdAjVkf",
        "outputId": "496f35b8-5169-4190-97f1-bec73a75affc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "show_id            0\n",
              "type               0\n",
              "title              0\n",
              "director        2634\n",
              "cast             825\n",
              "country          831\n",
              "date_added        10\n",
              "release_year       0\n",
              "rating             4\n",
              "duration           3\n",
              "listed_in          0\n",
              "description        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "veri_temiz=veri.dropna()"
      ],
      "metadata": {
        "id": "05TE0ob4jwpK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "veri_temiz=veri.dropna(subset=['director', 'cast', 'country','date_added','rating', 'duration'])"
      ],
      "metadata": {
        "id": "KhPb_P5sj6eC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "benzersiz_turler=veri['type'].unique()\n",
        "print(benzersiz_turler)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DogRi6OFkdni",
        "outputId": "50c8f3bd-5429-4b87-f243-83801e699dd2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Movie' 'TV Show']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tv_shows = veri[veri['type'] == 'TV Show']\n",
        "tv_shows.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 695
        },
        "id": "HuhZPS4Akuul",
        "outputId": "4016677e-dfeb-402d-a178-42641bf6e272"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  show_id     type                  title         director  \\\n",
              "1      s2  TV Show          Blood & Water              NaN   \n",
              "2      s3  TV Show              Ganglands  Julien Leclercq   \n",
              "3      s4  TV Show  Jailbirds New Orleans              NaN   \n",
              "4      s5  TV Show           Kota Factory              NaN   \n",
              "5      s6  TV Show          Midnight Mass    Mike Flanagan   \n",
              "\n",
              "                                                cast       country  \\\n",
              "1  Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...  South Africa   \n",
              "2  Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...           NaN   \n",
              "3                                                NaN           NaN   \n",
              "4  Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...         India   \n",
              "5  Kate Siegel, Zach Gilford, Hamish Linklater, H...           NaN   \n",
              "\n",
              "           date_added  release_year rating   duration  \\\n",
              "1  September 24, 2021          2021  TV-MA  2 Seasons   \n",
              "2  September 24, 2021          2021  TV-MA   1 Season   \n",
              "3  September 24, 2021          2021  TV-MA   1 Season   \n",
              "4  September 24, 2021          2021  TV-MA  2 Seasons   \n",
              "5  September 24, 2021          2021  TV-MA   1 Season   \n",
              "\n",
              "                                           listed_in  \\\n",
              "1    International TV Shows, TV Dramas, TV Mysteries   \n",
              "2  Crime TV Shows, International TV Shows, TV Act...   \n",
              "3                             Docuseries, Reality TV   \n",
              "4  International TV Shows, Romantic TV Shows, TV ...   \n",
              "5                 TV Dramas, TV Horror, TV Mysteries   \n",
              "\n",
              "                                         description  \n",
              "1  After crossing paths at a party, a Cape Town t...  \n",
              "2  To protect his family from a powerful drug lor...  \n",
              "3  Feuds, flirtations and toilet talk go down amo...  \n",
              "4  In a city of coaching centers known to train I...  \n",
              "5  The arrival of a charismatic young priest brin...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-065ef8f7-21fa-4709-b55a-1fdc99a58aae\" class=\"colab-df-container\">\n",
              "    <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></th>\n",
              "      <th>show_id</th>\n",
              "      <th>type</th>\n",
              "      <th>title</th>\n",
              "      <th>director</th>\n",
              "      <th>cast</th>\n",
              "      <th>country</th>\n",
              "      <th>date_added</th>\n",
              "      <th>release_year</th>\n",
              "      <th>rating</th>\n",
              "      <th>duration</th>\n",
              "      <th>listed_in</th>\n",
              "      <th>description</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>s2</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>Blood &amp; Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
              "      <td>South Africa</td>\n",
              "      <td>September 24, 2021</td>\n",
              "      <td>2021</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>2 Seasons</td>\n",
              "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
              "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>s3</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>Ganglands</td>\n",
              "      <td>Julien Leclercq</td>\n",
              "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>September 24, 2021</td>\n",
              "      <td>2021</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>1 Season</td>\n",
              "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
              "      <td>To protect his family from a powerful drug lor...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>s4</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>Jailbirds New Orleans</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>September 24, 2021</td>\n",
              "      <td>2021</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>1 Season</td>\n",
              "      <td>Docuseries, Reality TV</td>\n",
              "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>s5</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>Kota Factory</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
              "      <td>India</td>\n",
              "      <td>September 24, 2021</td>\n",
              "      <td>2021</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>2 Seasons</td>\n",
              "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
              "      <td>In a city of coaching centers known to train I...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>s6</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>Midnight Mass</td>\n",
              "      <td>Mike Flanagan</td>\n",
              "      <td>Kate Siegel, Zach Gilford, Hamish Linklater, H...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>September 24, 2021</td>\n",
              "      <td>2021</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>1 Season</td>\n",
              "      <td>TV Dramas, TV Horror, TV Mysteries</td>\n",
              "      <td>The arrival of a charismatic young priest brin...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-065ef8f7-21fa-4709-b55a-1fdc99a58aae')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-065ef8f7-21fa-4709-b55a-1fdc99a58aae button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-065ef8f7-21fa-4709-b55a-1fdc99a58aae');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ecc45798-4bcf-48d0-bf64-83cd3dc7818a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ecc45798-4bcf-48d0-bf64-83cd3dc7818a')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ecc45798-4bcf-48d0-bf64-83cd3dc7818a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "tv_shows",
              "summary": "{\n  \"name\": \"tv_shows\",\n  \"rows\": 2676,\n  \"fields\": [\n    {\n      \"column\": \"show_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2676,\n        \"samples\": [\n          \"s2744\",\n          \"s7255\",\n          \"s1307\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"TV Show\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2676,\n        \"samples\": [\n          \"The Iliza Shlesinger Sketch Show\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"director\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 222,\n        \"samples\": [\n          \"Peter Ho\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2283,\n        \"samples\": [\n          \"Aki Kanada, Satoshi Hino, Emiri Kato, Kei Shindo, Robert Tinkler, Peter Cugno, Lisette St. Louis, Barbara Mamabolo\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 196,\n        \"samples\": [\n          \"United States, Sweden\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date_added\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1051,\n        \"samples\": [\n          \"April 4, 2020\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 1925,\n        \"max\": 2021,\n        \"num_unique_values\": 46,\n        \"samples\": [\n          1996\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"NR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"duration\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"8 Seasons\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"listed_in\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 236,\n        \"samples\": [\n          \"Crime TV Shows, International TV Shows, Romantic TV Shows\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2672,\n        \"samples\": [\n          \"This anthology series unfolds a different story arc for each season, with dramas focusing on aspects of American life and the criminal justice system.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "benzersiz_ulkeler = veri['country'].unique()\n",
        "benzersiz_ulkeler"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fn24yBF0lM2A",
        "outputId": "496574c5-7086-4d49-af68-4017c5993090"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['United States', 'South Africa', nan, 'India',\n",
              "       'United States, Ghana, Burkina Faso, United Kingdom, Germany, Ethiopia',\n",
              "       'United Kingdom', 'Germany, Czech Republic', 'Mexico', 'Turkey',\n",
              "       'Australia', 'United States, India, France', 'Finland',\n",
              "       'China, Canada, United States',\n",
              "       'South Africa, United States, Japan', 'Nigeria', 'Japan',\n",
              "       'Spain, United States', 'France', 'Belgium',\n",
              "       'United Kingdom, United States', 'United States, United Kingdom',\n",
              "       'France, United States', 'South Korea', 'Spain',\n",
              "       'United States, Singapore', 'United Kingdom, Australia, France',\n",
              "       'United Kingdom, Australia, France, United States',\n",
              "       'United States, Canada', 'Germany, United States',\n",
              "       'South Africa, United States', 'United States, Mexico',\n",
              "       'United States, Italy, France, Japan',\n",
              "       'United States, Italy, Romania, United Kingdom',\n",
              "       'Australia, United States', 'Argentina, Venezuela',\n",
              "       'United States, United Kingdom, Canada', 'China, Hong Kong',\n",
              "       'Russia', 'Canada', 'Hong Kong', 'United States, China, Hong Kong',\n",
              "       'Italy, United States', 'United States, Germany',\n",
              "       'United Kingdom, Canada, United States', ', South Korea',\n",
              "       'Ireland', 'India, Nepal',\n",
              "       'New Zealand, Australia, France, United States', 'Italy',\n",
              "       'Italy, Brazil, Greece', 'Argentina', 'Jordan', 'Colombia',\n",
              "       'United States, Japan', 'Belgium, United Kingdom',\n",
              "       'Switzerland, United Kingdom, Australia', 'Israel, United States',\n",
              "       'Canada, United States', 'Brazil', 'Argentina, Spain', 'Taiwan',\n",
              "       'United States, Nigeria', 'Bulgaria, United States',\n",
              "       'Spain, United Kingdom, United States', 'United States, China',\n",
              "       'United States, France',\n",
              "       'Spain, France, United Kingdom, United States',\n",
              "       ', France, Algeria', 'Poland', 'Germany',\n",
              "       'France, Israel, Germany, United States, United Kingdom',\n",
              "       'New Zealand', 'Saudi Arabia', 'Thailand', 'Indonesia',\n",
              "       'Egypt, Denmark, Germany', 'United States, Switzerland',\n",
              "       'Hong Kong, Canada, United States', 'Kuwait, United States',\n",
              "       'France, Canada, United States, Spain',\n",
              "       'France, Netherlands, Singapore', 'France, Belgium',\n",
              "       'Ireland, United States, United Kingdom', 'Egypt', 'Malaysia',\n",
              "       'Israel', 'Australia, New Zealand', 'United Kingdom, Germany',\n",
              "       'Belgium, Netherlands', 'South Korea, Czech Republic',\n",
              "       'Australia, Germany', 'Vietnam', 'United Kingdom, Belgium',\n",
              "       'United Kingdom, Australia, United States',\n",
              "       'France, Japan, United States',\n",
              "       'United Kingdom, Germany, Spain, United States',\n",
              "       'United Kingdom, United States, France, Italy',\n",
              "       'United States, Germany, Canada',\n",
              "       'United States, France, Italy, United Kingdom',\n",
              "       'United States, United Kingdom, Germany, Hungary',\n",
              "       'United States, New Zealand', 'Sweden', 'China', 'Lebanon',\n",
              "       'Romania', 'Finland, Germany', 'Lebanon, Syria', 'Philippines',\n",
              "       'Iceland', 'Denmark', 'United States, India',\n",
              "       'Philippines, Singapore, Indonesia',\n",
              "       'China, United States, Canada', 'Lebanon, United Arab Emirates',\n",
              "       'Canada, United States, Denmark', 'United Arab Emirates',\n",
              "       'Mexico, France, Colombia', 'Netherlands',\n",
              "       'Germany, United States, France', 'United States, Bulgaria',\n",
              "       'United Kingdom, France, Germany, United States',\n",
              "       'Norway, Denmark', 'Syria, France, Lebanon, Qatar',\n",
              "       'United States, Czech Republic', 'Mauritius',\n",
              "       'Canada, South Africa', 'Austria', 'Mexico, Brazil',\n",
              "       'Germany, France', 'Mexico, United States',\n",
              "       'United Kingdom, France, Spain, United States',\n",
              "       'United States, Australia',\n",
              "       'United States, United Kingdom, France', 'United States, Russia',\n",
              "       'United States, United Kingdom, New Zealand',\n",
              "       'Australia, United Kingdom', 'Canada, Nigeria, United States',\n",
              "       'France, United States, United Kingdom, Canada',\n",
              "       'France, United Kingdom', 'India, United Kingdom',\n",
              "       'Canada, United States, Mexico',\n",
              "       'United Kingdom, Germany, United States',\n",
              "       'Czech Republic, United Kingdom, United States',\n",
              "       'China, United Kingdom', 'Italy, United Kingdom', 'China, Taiwan',\n",
              "       'United States, Brazil, Japan, Spain, India',\n",
              "       'United States, China, United Kingdom', 'Cameroon',\n",
              "       'Lebanon, Palestine, Denmark, Qatar', 'Japan, United States',\n",
              "       'Uruguay, Germany', 'Egypt, Saudi Arabia',\n",
              "       'United Kingdom, France, Poland, Germany, United States',\n",
              "       'Ireland, Switzerland, United Kingdom, France, United States',\n",
              "       'United Kingdom, South Africa, France',\n",
              "       'Ireland, United Kingdom, France, Germany',\n",
              "       'Russia, United States', 'United Kingdom, United States, France',\n",
              "       'United Kingdom,', 'United States, India, United Kingdom', 'Kenya',\n",
              "       'Spain, Argentina', 'India, United Kingdom, France, Qatar',\n",
              "       'Belgium, France', 'Argentina, Chile', 'United States, Thailand',\n",
              "       'Chile, Brazil', 'United States, Colombia',\n",
              "       'Canada, United States, United Kingdom', 'Uruguay', 'Luxembourg',\n",
              "       'United States, Cambodia, Romania', 'Bangladesh',\n",
              "       'Spain, Belgium, United States',\n",
              "       'United Kingdom, United States, Australia',\n",
              "       'Canada, United States, France', 'Portugal, United States',\n",
              "       'Portugal, Spain', 'India, United States',\n",
              "       'United Kingdom, Ireland', 'United Kingdom, Spain, United States',\n",
              "       'Hungary, United States', 'United States, South Korea',\n",
              "       'Canada, United States, Cayman Islands', 'India, France',\n",
              "       'France, Canada', 'Canada, Hungary, United States', 'Norway',\n",
              "       'Canada, United Kingdom, United States',\n",
              "       'United Kingdom, Germany, France, United States',\n",
              "       'Denmark, United States', 'Senegal', 'France, Algeria',\n",
              "       'United Kingdom, Finland, Germany, United States, Australia, Japan, France, Ireland',\n",
              "       'Philippines, Canada, United Kingdom, United States',\n",
              "       'Ireland, France, Iceland, United States, Mexico, Belgium, United Kingdom, Hong Kong',\n",
              "       'Singapore', 'Kuwait', 'United States, France, Serbia',\n",
              "       'United States, Italy', 'Spain, Italy',\n",
              "       'United States, Ireland, United Kingdom, India',\n",
              "       'United Kingdom, Singapore', 'Hong Kong, United States',\n",
              "       'United States, Malta, France, United Kingdom',\n",
              "       'United States, China, Canada', 'Canada, United States, Ireland',\n",
              "       'Lebanon, Canada, France', 'Japan, Canada, United States',\n",
              "       'Spain, France, Canada',\n",
              "       'Denmark, Singapore, Canada, United States',\n",
              "       'United States, France, Denmark', 'United States, China, Colombia',\n",
              "       'Spain, Thailand, United States', 'Mexico, Spain',\n",
              "       'Ireland, Luxembourg, Belgium', 'China, United States',\n",
              "       'Canada, Belgium', 'Canada, United Kingdom',\n",
              "       'Lebanon, United Arab Emirates, France, Switzerland, Germany',\n",
              "       'France, Belgium, Italy',\n",
              "       'Lebanon, United States, United Arab Emirates', 'Lebanon, France',\n",
              "       'France, Lebanon', 'France, Lebanon, United Kingdom',\n",
              "       'France, Norway, Lebanon, Belgium',\n",
              "       'Sweden, Czech Republic, United Kingdom, Denmark, Netherlands',\n",
              "       'United States, United Kingdom, India', 'Indonesia, Netherlands',\n",
              "       'Turkey, South Korea', 'Serbia, United States', 'Namibia',\n",
              "       'United Kingdom, Kenya', 'United Kingdom, France, Germany, Spain',\n",
              "       'United Kingdom, France, United States, Belgium, Luxembourg, China, Germany',\n",
              "       'Thailand, United States',\n",
              "       'United States, France, Canada, Belgium', 'United Kingdom, China',\n",
              "       'Germany, China, United Kingdom',\n",
              "       'Australia, New Zealand, United States',\n",
              "       'Hong Kong, Iceland, United States', 'France, Australia, Germany',\n",
              "       'United States, Belgium, Canada, France', 'South Africa, Angola',\n",
              "       'United States, Philippines',\n",
              "       'United States, United Kingdom, Canada, China',\n",
              "       'United States, Canada, United Kingdom', 'Turkey, United States',\n",
              "       'Peru, Germany, Norway', 'Mozambique', 'Brazil, France',\n",
              "       'China, Spain, South Korea, United States', 'Spain, Germany',\n",
              "       'Hong Kong, China', 'France, Belgium, Luxembourg, Cambodia,',\n",
              "       'United Kingdom, Australia', 'Belarus',\n",
              "       'Indonesia, United Kingdom',\n",
              "       'Switzerland, France, Belgium, United States', 'Ghana',\n",
              "       'Spain, France, Canada, United States', 'Chile, Italy',\n",
              "       'United Kingdom, Nigeria', 'Chile', 'France, Egypt',\n",
              "       'Egypt, France', 'France, Brazil, Spain, Belgium',\n",
              "       'Egypt, Algeria', 'Canada, South Korea, United States',\n",
              "       'Nigeria, United Kingdom', 'United States, France, Canada',\n",
              "       'Poland, United States',\n",
              "       'United Arab Emirates, Jordan, Lebanon, Saudi Arabia',\n",
              "       'United States, Mexico, Spain, Malta',\n",
              "       'Saudi Arabia, United Arab Emirates', 'Zimbabwe',\n",
              "       'United Kingdom, Germany, United Arab Emirates, New Zealand',\n",
              "       'Romania, United States', 'Canada, Nigeria',\n",
              "       'Saudi Arabia, Netherlands, Germany, Jordan, United Arab Emirates, United States',\n",
              "       'United Kingdom, Spain', 'Finland, France',\n",
              "       'United Kingdom, Germany, United States, France',\n",
              "       'India, United Kingdom, China, Canada, Japan, South Korea, United States',\n",
              "       'Italy, United Kingdom, France', 'United States, Mexico, Colombia',\n",
              "       'Turkey, India', 'Italy, Turkey',\n",
              "       'United Kingdom, United States, Japan',\n",
              "       'France, Belgium, United States',\n",
              "       'Puerto Rico, United States, Colombia', 'Uruguay, Argentina',\n",
              "       'United States, United Kingdom, Japan', 'United States, Argentina',\n",
              "       'United Kingdom, Italy', 'Ireland, United Kingdom',\n",
              "       'United Kingdom, France, Belgium, Canada, United States',\n",
              "       'Netherlands, Germany, Denmark, United Kingdom', 'Hungary',\n",
              "       'Austria, Germany', 'Taiwan, China',\n",
              "       'United Kingdom, United States, Ireland',\n",
              "       'South Korea, United States', 'Brazil, United Kingdom',\n",
              "       'Pakistan, United States', 'Romania, France, Switzerland, Germany',\n",
              "       'Romania, United Kingdom', 'France, Malta, United States',\n",
              "       'Cyprus',\n",
              "       'United Kingdom, France, Belgium, Ireland, United States',\n",
              "       'United States, Norway, Canada', 'Kenya, United States',\n",
              "       'France, South Korea, Japan, United States', 'Taiwan, Malaysia',\n",
              "       'Uruguay, Argentina, Germany, Spain',\n",
              "       'United States, United Kingdom, France, Germany, Japan',\n",
              "       'United States, France, Japan',\n",
              "       'United Kingdom, France, United States',\n",
              "       'Spain, France, United States',\n",
              "       'Indonesia, South Korea, Singapore', 'United States, Spain',\n",
              "       'Netherlands, Germany, Italy, Canada',\n",
              "       'Spain, Germany, Denmark, United States', 'Norway, Sweden',\n",
              "       'South Korea, Canada, United States, China',\n",
              "       'Argentina, Uruguay, Serbia', 'France, Japan',\n",
              "       'Mauritius, South Africa', 'United States, Poland',\n",
              "       'United Kingdom, United States, Germany, Denmark, Belgium, Japan',\n",
              "       'India, Germany', 'India, United Kingdom, Canada, United States',\n",
              "       'Philippines, United States', 'Romania, Bulgaria, Hungary',\n",
              "       'Uruguay, Guatemala', 'France, Senegal, Belgium',\n",
              "       'United Kingdom, Canada', 'Mexico, United States, Spain, Colombia',\n",
              "       'Canada, Norway', 'Singapore, United States',\n",
              "       'Finland, Germany, Belgium', 'United Kingdom, France',\n",
              "       'United States, Chile', 'United Kingdom, Japan, United States',\n",
              "       'Spain, United Kingdom', 'Argentina, United States, Mexico',\n",
              "       'United States, South Korea, Japan', 'Canada, Australia',\n",
              "       'United Kingdom, Hungary, Australia', 'Italy, Belgium',\n",
              "       'United States, United Kingdom, Germany', 'Switzerland',\n",
              "       'Singapore, Malaysia',\n",
              "       'France, Belgium, Luxembourg, Romania, Canada, United States',\n",
              "       'South Africa, Nigeria', 'Spain, France',\n",
              "       'United Kingdom, Hong Kong', 'Pakistan', 'Brazil, United States',\n",
              "       'Denmark, Brazil, France, Portugal, Sweden', 'India, Turkey',\n",
              "       'Malaysia, Singapore, Hong Kong', 'Philippines, Singapore',\n",
              "       'Australia, Canada', 'Taiwan, China, France, United States',\n",
              "       'Germany, Italy', 'Colombia, Peru, United Kingdom',\n",
              "       'Thailand, China, United States', 'Argentina, United States',\n",
              "       'Sweden, United States', 'Uruguay, Spain, Mexico',\n",
              "       'France, Luxembourg, Canada', 'Denmark, Spain', 'Chile, Argentina',\n",
              "       'United Kingdom, Belgium, Sweden', 'Canada, Brazil',\n",
              "       'Italy, France', 'Canada, Germany',\n",
              "       'Pakistan, United Arab Emirates', 'Ghana, United States',\n",
              "       'Mexico, Finland', 'United Arab Emirates, United Kingdom, India',\n",
              "       'Netherlands, Belgium', 'United States, Taiwan',\n",
              "       'Austria, Iraq, United States', 'United Kingdom, Malawi',\n",
              "       'Paraguay, Argentina', 'United Kingdom, Russia, United States',\n",
              "       'India, Pakistan', 'Indonesia, Singapore', 'Spain, Belgium',\n",
              "       'Iceland, Sweden, Belgium', 'Croatia', 'Uruguay, Argentina, Spain',\n",
              "       'United Kingdom, Ireland, United States',\n",
              "       'Canada, Germany, France, United States', 'United Kingdom, Japan',\n",
              "       'Norway, Denmark, Netherlands, Sweden',\n",
              "       'Hong Kong, China, United States', 'Ireland, Canada',\n",
              "       'Italy, Switzerland, France, Germany', 'Mexico, Netherlands',\n",
              "       'United States, Sweden', 'Germany, France, Russia',\n",
              "       'France, Iran, United States', 'United Kingdom, India',\n",
              "       'Russia, Poland, Serbia', 'Spain, Portugal', 'Peru',\n",
              "       'Mexico, Argentina',\n",
              "       'United Kingdom, Canada, United States, Cayman Islands',\n",
              "       'Indonesia, United States',\n",
              "       'United States, Israel, United Kingdom, Canada',\n",
              "       'Norway, Iceland, United States', 'Czech Republic, United States',\n",
              "       'United Kingdom, India, United States',\n",
              "       'United Kingdom, West Germany', 'India, Australia',\n",
              "       'United States,', 'Belgium, United Kingdom, United States',\n",
              "       'India, Germany, Austria',\n",
              "       'United States, Brazil, South Korea, Mexico, Japan, Germany',\n",
              "       'Spain, Mexico', 'China, Japan', 'Argentina, France',\n",
              "       'China, United States, United Kingdom',\n",
              "       'France, Luxembourg, United States',\n",
              "       'China, United States, Australia', 'Colombia, Mexico',\n",
              "       'United States, Canada, Ireland', 'Chile, Peru',\n",
              "       'Argentina, Italy', 'Canada, Japan, United States',\n",
              "       'United Kingdom, Canada, United States, Germany',\n",
              "       'Italy, Switzerland, Albania, Poland',\n",
              "       'United States, Japan, Canada', 'Cambodia',\n",
              "       'Italy, United States, Argentina',\n",
              "       'Saudi Arabia, Syria, Egypt, Lebanon, Kuwait',\n",
              "       'United States, Canada, Indonesia, United Kingdom, China, Singapore',\n",
              "       'Spain, Colombia',\n",
              "       'United Kingdom, South Africa, Australia, United States',\n",
              "       'Bulgaria', 'Argentina, Brazil, France, Poland, Germany, Denmark',\n",
              "       'United Kingdom, Spain, United States, Germany',\n",
              "       'Philippines, Qatar', 'Netherlands, Belgium, Germany, Jordan',\n",
              "       'United Arab Emirates, United States', 'Norway, Germany, Sweden',\n",
              "       'South Korea, China', 'Georgia', 'Soviet Union, India',\n",
              "       'Australia, United Arab Emirates', 'Canada, Germany, South Africa',\n",
              "       'South Korea, China, United States', 'India, Soviet Union',\n",
              "       'India, Mexico', 'Georgia, Germany, France',\n",
              "       'United Arab Emirates, Romania', 'India, Malaysia',\n",
              "       'Germany, Jordan, Netherlands', 'Turkey, France, Germany, Poland',\n",
              "       'Greece, United States', 'France, United Kingdom, United States',\n",
              "       'Norway, Germany', 'France, Morocco', 'Cambodia, United States',\n",
              "       'United States, Denmark', 'United States, Colombia, Mexico',\n",
              "       'United Kingdom, Italy, Israel, Peru, United States',\n",
              "       'Argentina, Uruguay, Spain, France',\n",
              "       'United Kingdom, France, United States, Belgium',\n",
              "       'France, Canada, China, Cambodia',\n",
              "       'United Kingdom, France, Belgium, United States', 'Chile, France',\n",
              "       'Netherlands, United States', 'France, United Kingdom, India',\n",
              "       'Czech Republic, Slovakia', 'Singapore, France',\n",
              "       'Spain, Switzerland', 'United States, Australia, China',\n",
              "       'South Africa, United States, Germany',\n",
              "       'United States, United Kingdom, Australia',\n",
              "       'Spain, Italy, Argentina', 'Chile, Spain, Argentina, Germany',\n",
              "       'West Germany', 'Austria, Czech Republic', 'Lebanon, Qatar',\n",
              "       'United Kingdom, Jordan, Qatar, Iran',\n",
              "       'France, South Korea, Japan', 'Israel, Germany, France',\n",
              "       'Canada, Japan, Netherlands', 'United States, Hungary',\n",
              "       'France, Germany', 'France, Qatar',\n",
              "       'United Kingdom, Germany, Canada', 'Ireland, South Africa',\n",
              "       'Chile, United States, France', 'Belgium, France, Netherlands',\n",
              "       'United Kingdom, Ukraine, United States',\n",
              "       'Germany, Australia, France, China', 'Norway, United States',\n",
              "       'United States, Bermuda, Ecuador',\n",
              "       'United States, Hungary, Ireland, Canada',\n",
              "       'United Kingdom, Egypt, United States',\n",
              "       'United States, France, United Kingdom', 'Spain, Mexico, France',\n",
              "       'United States, South Africa', 'Hong Kong, China, Singapore',\n",
              "       'South Africa, China, United States', 'Denmark, France, Poland',\n",
              "       'New Zealand, United Kingdom',\n",
              "       'Netherlands, Denmark, South Africa', 'Iran, France',\n",
              "       'United Kingdom, United States, France, Germany',\n",
              "       'Australia, France', 'Ireland, United Kingdom, United States',\n",
              "       'United Kingdom, France, Germany', 'Canada, Luxembourg',\n",
              "       'Brazil, Netherlands, United States, Colombia, Austria, Germany',\n",
              "       'France, Canada, Belgium', 'Canada, France',\n",
              "       'Bulgaria, United States, Spain, Canada', 'Sweden, Netherlands',\n",
              "       'France, United States, Mexico',\n",
              "       'Australia, United Kingdom, United Arab Emirates, Canada',\n",
              "       'Australia, Armenia, Japan, Jordan, Mexico, Mongolia, New Zealand, Philippines, South Africa, Sweden, United States, Uruguay',\n",
              "       'India, Iran', 'France, Belgium, Spain',\n",
              "       'Denmark, Sweden, Israel, United States', 'United States, Iceland',\n",
              "       'United Kingdom, Russia',\n",
              "       'United States, Israel, Italy, South Africa',\n",
              "       'Netherlands, Denmark, France, Germany', 'South Korea, Japan',\n",
              "       'United Kingdom, Pakistan', 'France, New Zealand',\n",
              "       'United Kingdom, Czech Republic, United States, Germany, Bahamas',\n",
              "       'China, Germany, India, United States', 'Germany, Sri Lanka',\n",
              "       'United States, India, Bangladesh',\n",
              "       'United States, Canada, France', 'Brazil, France, Germany',\n",
              "       'Germany, United States, Hong Kong, Singapore',\n",
              "       'France, Germany, Switzerland',\n",
              "       'Germany, France, Luxembourg, United Kingdom, United States',\n",
              "       'United Kingdom, Canada, Italy', 'Czech Republic, France',\n",
              "       'Taiwan, Hong Kong, United States, China', 'Germany, Australia',\n",
              "       'United Kingdom, Poland, United States', 'Denmark, Zimbabwe',\n",
              "       'United Kingdom, South Africa',\n",
              "       'Finland, Sweden, Norway, Latvia, Germany',\n",
              "       'South Africa, United States, New Zealand, Canada',\n",
              "       'United States, Italy, United Kingdom, Liechtenstein',\n",
              "       'Denmark, France, Belgium, Italy, Netherlands, United States, United Kingdom',\n",
              "       'United States, Australia, Mexico',\n",
              "       'United Kingdom, Czech Republic, Germany, United States',\n",
              "       'France, China, Japan, United States',\n",
              "       'United States, South Korea, China', 'Germany, Belgium',\n",
              "       'Pakistan, Norway, United States',\n",
              "       'United States, Canada, Belgium, United Kingdom', 'Venezuela',\n",
              "       'Canada, France, Italy, Morocco, United States',\n",
              "       'Canada, Spain, France', 'United States, Indonesia',\n",
              "       'Spain, France, Italy',\n",
              "       'United Arab Emirates, United States, United Kingdom',\n",
              "       'United Kingdom, Israel, Russia', 'Spain, Cuba',\n",
              "       'United States, Brazil', 'United States, France, Mexico',\n",
              "       'United States, Nicaragua',\n",
              "       'United Kingdom, United States, Spain, Germany, Greece, Canada',\n",
              "       'Italy, Canada, France',\n",
              "       'United Kingdom, Denmark, Canada, Croatia', 'Italy, Germany',\n",
              "       'United States, France, United Kingdom, Japan',\n",
              "       'United States, United Kingdom, Denmark, Sweden',\n",
              "       'United States, United Kingdom, Italy',\n",
              "       'United States, France, Canada, Spain',\n",
              "       'Russia, United States, China', 'United States, Canada, Germany',\n",
              "       'Ireland, United States', 'United States, United Arab Emirates',\n",
              "       'United States, Ireland',\n",
              "       'Ireland, United Kingdom, Italy, United States', 'Poland,',\n",
              "       'Slovenia, Croatia, Germany, Czech Republic, Qatar',\n",
              "       'Canada, United Kingdom, Netherlands',\n",
              "       'United States, Spain, Germany', 'India, Japan',\n",
              "       'China, South Korea, United States',\n",
              "       'United Kingdom, France, Belgium',\n",
              "       'Canada, Ireland, United States',\n",
              "       'United Kingdom, United States, Dominican Republic',\n",
              "       'United States, Senegal', 'Germany, United Kingdom, United States',\n",
              "       'South Africa, Germany, Netherlands, France',\n",
              "       'Canada, United States, United Kingdom, France, Luxembourg',\n",
              "       'Ireland, United States, France', 'Germany, United States, Canada',\n",
              "       'United Kingdom, Germany, Canada, United States',\n",
              "       'United States, France, Canada, Lebanon, Qatar',\n",
              "       'Netherlands, Belgium, United Kingdom, United States',\n",
              "       'France, Belgium, China, United States',\n",
              "       'United States, Chile, Israel',\n",
              "       'United Kingdom, Norway, Denmark, Germany, Sweden',\n",
              "       'Norway, Denmark, Sweden', 'China, India, Nepal',\n",
              "       'Colombia, Mexico, United States', 'United Kingdom, South Korea',\n",
              "       'Denmark, China', 'United States, Greece, Brazil',\n",
              "       'South Korea, France',\n",
              "       'United States, Australia, Samoa, United Kingdom',\n",
              "       'Germany, United Kingdom', 'Argentina, Chile, Peru',\n",
              "       'Turkey, Azerbaijan', 'Poland, West Germany',\n",
              "       'Germany, United States, Sweden', 'Canada, Spain',\n",
              "       'United States, Cambodia', 'United States, Greece',\n",
              "       'Norway, United Kingdom, France, Ireland',\n",
              "       'United Kingdom, Poland', 'Israel, Sweden, Germany, Netherlands',\n",
              "       'Switzerland, France', 'Italy, India', 'United States, Botswana',\n",
              "       'Chile, Argentina, France, Spain, United States',\n",
              "       'United States, India, South Korea, China',\n",
              "       'Denmark, Germany, Belgium, United Kingdom, France',\n",
              "       'Denmark, Germany, Belgium, United Kingdom, France, Sweden',\n",
              "       'France, Switzerland, Spain, United States, United Arab Emirates',\n",
              "       'Brazil, India, China, United States',\n",
              "       'Denmark, France, United States, Sweden', 'Australia, Iraq',\n",
              "       'China, Morocco, Hong Kong', 'Canada, United States, Germany',\n",
              "       'United Kingdom, Thailand', 'Venezuela, Colombia',\n",
              "       'Colombia, United States',\n",
              "       'France, Germany, Czech Republic, Belgium',\n",
              "       'Switzerland, Vatican City, Italy, Germany, France',\n",
              "       'Portugal, France, Poland, United States',\n",
              "       'United States, New Zealand, Japan',\n",
              "       'United States, Netherlands, Japan, France', 'India, Switzerland',\n",
              "       'Canada, India', 'United States, Morocco',\n",
              "       'Singapore, Japan, France',\n",
              "       'Canada, Mexico, Germany, South Africa',\n",
              "       'United Kingdom, United States, Canada',\n",
              "       'Germany, France, United States, Canada, United Kingdom',\n",
              "       'United States, Uruguay', 'India, Canada',\n",
              "       'Ireland, Canada, United Kingdom, United States',\n",
              "       'United States, Germany, Australia', 'Australia, France, Ireland',\n",
              "       'Australia, India', 'United States, United Kingdom, Canada, Japan',\n",
              "       'Sweden, United Kingdom, Finland', 'Hong Kong, Taiwan',\n",
              "       'United States, United Kingdom, Spain, South Korea', 'Guatemala',\n",
              "       'Ukraine',\n",
              "       'Italy, South Africa, West Germany, Australia, United States',\n",
              "       'United States, Germany, United Kingdom, Australia',\n",
              "       'Italy, France, Switzerland', 'Canada, France, United States',\n",
              "       'Switzerland, United States', 'Thailand, Canada, United States',\n",
              "       'China, Hong Kong, United States', 'United Kingdom, New Zealand',\n",
              "       'Czech Republic, United Kingdom, France',\n",
              "       'Australia, United Kingdom, Canada', 'Jamaica, United States',\n",
              "       'Australia, United Kingdom, United States, New Zealand, Italy, France',\n",
              "       'France, United States, Canada',\n",
              "       'United Kingdom, France, Canada, Belgium, United States',\n",
              "       'Denmark, United Kingdom, Sweden', 'United States, Hong Kong',\n",
              "       'United States, Kazakhstan',\n",
              "       'Argentina, France, United States, Germany, Qatar',\n",
              "       'United States, Germany, United Kingdom',\n",
              "       'United States, Germany, United Kingdom, Italy',\n",
              "       'United States, New Zealand, United Kingdom',\n",
              "       'Finland, United States', 'Spain, France, Uruguay',\n",
              "       'France, Canada, United States', 'United States, Canada, China',\n",
              "       'Ireland, Canada, Luxembourg, United States, United Kingdom, Philippines, India',\n",
              "       'United States, Czech Republic, United Kingdom', 'Israel, Germany',\n",
              "       'Mexico, France',\n",
              "       'Israel, Germany, Poland, Luxembourg, Belgium, France, United States',\n",
              "       'Austria, United States', 'United Kingdom, Lithuania',\n",
              "       'United States, Greece, United Kingdom',\n",
              "       'United Kingdom, China, United States, India',\n",
              "       'United States, Sweden, Norway',\n",
              "       'United Kingdom, United States, Morocco',\n",
              "       'United States, United Kingdom, Morocco',\n",
              "       'Spain, Canada, United States',\n",
              "       'United States, India, United Arab Emirates',\n",
              "       'United Kingdom, Canada, France, United States',\n",
              "       'India, Germany, France',\n",
              "       'Belgium, Ireland, Netherlands, Germany, Afghanistan',\n",
              "       'France, Canada, Italy, United States, China',\n",
              "       'Ireland, United Kingdom, Greece, France, Netherlands',\n",
              "       'Denmark, Indonesia, Finland, Norway, United Kingdom, Israel, France, United States, Germany, Netherlands',\n",
              "       'New Zealand, United States',\n",
              "       'United States, Australia, South Africa, United Kingdom',\n",
              "       'United States, Germany, Mexico',\n",
              "       'Somalia, Kenya, Sudan, South Africa, United States',\n",
              "       'United States, Canada, Japan, Panama',\n",
              "       'United Kingdom, Spain, Belgium', 'Serbia, South Korea, Slovenia',\n",
              "       'Denmark, United Kingdom, South Africa, Sweden, Belgium',\n",
              "       'Germany, Canada, United States',\n",
              "       'Ireland, Canada, United States, United Kingdom',\n",
              "       'New Zealand, United Kingdom, Australia',\n",
              "       'United Kingdom, Australia, Canada, United States',\n",
              "       'Germany, United States, Italy', 'United States, Venezuela',\n",
              "       'United Kingdom, Canada, Japan',\n",
              "       'United Kingdom, United States, Czech Republic',\n",
              "       'United Kingdom, China, United States',\n",
              "       'United Kingdom, Brazil, Germany',\n",
              "       'United Kingdom, Namibia, South Africa, Zimbabwe, United States',\n",
              "       'Canada, United States, India, United Kingdom',\n",
              "       'Switzerland, United Kingdom, United States',\n",
              "       'United Kingdom, India, Sweden',\n",
              "       'United States, Brazil, India, Uganda, China',\n",
              "       'Peru, United States, United Kingdom',\n",
              "       'Germany, United States, United Kingdom, Canada',\n",
              "       'Canada, India, Thailand, United States, United Arab Emirates',\n",
              "       'United States, East Germany, West Germany',\n",
              "       'France, Netherlands, South Africa, Finland',\n",
              "       'Egypt, Austria, United States', 'Russia, Spain',\n",
              "       'Croatia, Slovenia, Serbia, Montenegro', 'Japan, Canada',\n",
              "       'United States, France, South Korea, Indonesia',\n",
              "       'United Arab Emirates, Jordan'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ulkeler_adet = veri[\"country\"].value_counts()\n",
        "ulkeler_adet"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VavVIjE2lwkK",
        "outputId": "e2ba06dc-3cea-4724-a010-d2a649867cfa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "country\n",
              "United States                             2818\n",
              "India                                      972\n",
              "United Kingdom                             419\n",
              "Japan                                      245\n",
              "South Korea                                199\n",
              "                                          ... \n",
              "Romania, Bulgaria, Hungary                   1\n",
              "Uruguay, Guatemala                           1\n",
              "France, Senegal, Belgium                     1\n",
              "Mexico, United States, Spain, Colombia       1\n",
              "United Arab Emirates, Jordan                 1\n",
              "Name: count, Length: 748, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ulkeler_adet = ulkeler_adet.sort_values(ascending=False)\n",
        "ulkeler_adet"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-OkVvET_m0i0",
        "outputId": "a7b50d57-1c92-4546-fbb4-794ffc4b28c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "country\n",
              "United States                                           2818\n",
              "India                                                    972\n",
              "United Kingdom                                           419\n",
              "Japan                                                    245\n",
              "South Korea                                              199\n",
              "                                                        ... \n",
              "Ireland, United Kingdom, Greece, France, Netherlands       1\n",
              "France, Canada, Italy, United States, China                1\n",
              "United States, Venezuela                                   1\n",
              "United Kingdom, Canada, Japan                              1\n",
              "United Arab Emirates, Jordan                               1\n",
              "Name: count, Length: 748, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for ulke, adet in ulkeler_adet.items():\n",
        "  print(f\"{ulke}: {adet} adet\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RSqT3Lf7nWBG",
        "outputId": "828be2bd-e8d7-425e-b55e-02b7ff0cf368"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "United States: 2818 adet\n",
            "India: 972 adet\n",
            "United Kingdom: 419 adet\n",
            "Japan: 245 adet\n",
            "South Korea: 199 adet\n",
            "Canada: 181 adet\n",
            "Spain: 145 adet\n",
            "France: 124 adet\n",
            "Mexico: 110 adet\n",
            "Egypt: 106 adet\n",
            "Turkey: 105 adet\n",
            "Nigeria: 95 adet\n",
            "Australia: 87 adet\n",
            "Taiwan: 81 adet\n",
            "Indonesia: 79 adet\n",
            "Brazil: 77 adet\n",
            "Philippines: 75 adet\n",
            "United Kingdom, United States: 75 adet\n",
            "United States, Canada: 73 adet\n",
            "Germany: 67 adet\n",
            "China: 66 adet\n",
            "Thailand: 61 adet\n",
            "Argentina: 56 adet\n",
            "Hong Kong: 53 adet\n",
            "United States, United Kingdom: 47 adet\n",
            "Italy: 45 adet\n",
            "Canada, United States: 45 adet\n",
            "Colombia: 35 adet\n",
            "South Africa: 30 adet\n",
            "France, Belgium: 27 adet\n",
            "Poland: 24 adet\n",
            "Singapore: 23 adet\n",
            "Malaysia: 22 adet\n",
            "Netherlands: 19 adet\n",
            "Pakistan: 18 adet\n",
            "United States, Germany: 17 adet\n",
            "Hong Kong, China: 16 adet\n",
            "United States, France: 16 adet\n",
            "United States, Japan: 16 adet\n",
            "Lebanon: 15 adet\n",
            "Russia: 15 adet\n",
            "Chile: 14 adet\n",
            "United Arab Emirates: 14 adet\n",
            "China, Hong Kong: 14 adet\n",
            "United States, Mexico: 14 adet\n",
            "Denmark: 13 adet\n",
            "Australia, United States: 13 adet\n",
            "Mexico, United States: 13 adet\n",
            "Sweden: 13 adet\n",
            "Germany, United States: 13 adet\n",
            "Israel: 13 adet\n",
            "New Zealand: 12 adet\n",
            "Japan, United States: 12 adet\n",
            "Norway: 11 adet\n",
            "United States, Australia: 11 adet\n",
            "India, United States: 10 adet\n",
            "France, United States: 10 adet\n",
            "Ireland: 10 adet\n",
            "United States, India: 9 adet\n",
            "Belgium: 9 adet\n",
            "Saudi Arabia: 8 adet\n",
            "United States, China: 8 adet\n",
            "United Kingdom, Canada, United States: 8 adet\n",
            "Argentina, Spain: 8 adet\n",
            "Vietnam: 7 adet\n",
            "United States, France, Japan: 7 adet\n",
            "United Kingdom, France: 6 adet\n",
            "Romania: 6 adet\n",
            "Kuwait: 6 adet\n",
            "South Korea, United States: 6 adet\n",
            "Israel, United States: 5 adet\n",
            "Austria: 5 adet\n",
            "Iceland: 5 adet\n",
            "United States, Italy: 5 adet\n",
            "India, France: 5 adet\n",
            "Spain, France: 5 adet\n",
            "United States, New Zealand: 5 adet\n",
            "Italy, France: 5 adet\n",
            "United States, Czech Republic: 5 adet\n",
            "Poland, United States: 4 adet\n",
            "United Kingdom, Germany: 4 adet\n",
            "United Kingdom, Canada: 4 adet\n",
            "United States, United Kingdom, Australia: 4 adet\n",
            "Hong Kong, United States: 4 adet\n",
            "Hungary: 4 adet\n",
            "Canada, United States, United Kingdom: 4 adet\n",
            "United States, Bulgaria: 4 adet\n",
            "Mexico, Spain: 4 adet\n",
            "United States, Spain: 4 adet\n",
            "United States, United Kingdom, France: 4 adet\n",
            "United Kingdom, United States, Spain, Germany, Greece, Canada: 4 adet\n",
            "Italy, United States: 4 adet\n",
            "United States, Russia: 4 adet\n",
            "United Kingdom, France, United States: 4 adet\n",
            "South Africa, United States: 4 adet\n",
            "Peru: 4 adet\n",
            "France, Canada: 3 adet\n",
            "Spain, Argentina: 3 adet\n",
            "Belgium, France: 3 adet\n",
            "United States, Colombia: 3 adet\n",
            "Bangladesh: 3 adet\n",
            "United States, Ireland: 3 adet\n",
            "China, Canada, United States: 3 adet\n",
            "Bulgaria, United States: 3 adet\n",
            "United States, United Arab Emirates: 3 adet\n",
            "United States, Germany, Canada: 3 adet\n",
            "Ghana: 3 adet\n",
            "Kenya: 3 adet\n",
            "United Kingdom, United States, Australia: 3 adet\n",
            "United Kingdom, Ireland: 3 adet\n",
            "Denmark, United States: 3 adet\n",
            "United States, Hong Kong: 3 adet\n",
            "Spain, Germany: 3 adet\n",
            "United States, Sweden: 3 adet\n",
            "Sweden, United States: 3 adet\n",
            "United States, Chile: 3 adet\n",
            "United Kingdom, Japan, United States: 3 adet\n",
            "France, Egypt: 3 adet\n",
            "China, United Kingdom: 3 adet\n",
            "Uruguay: 3 adet\n",
            "United States, South Africa: 3 adet\n",
            "United States, China, Hong Kong: 2 adet\n",
            "United Kingdom, Germany, United States: 2 adet\n",
            "Germany, United Kingdom: 2 adet\n",
            "India, United Kingdom: 2 adet\n",
            "Egypt, France: 2 adet\n",
            "United Kingdom, India: 2 adet\n",
            "Spain, Italy: 2 adet\n",
            "Hong Kong, China, United States: 2 adet\n",
            "India, Soviet Union: 2 adet\n",
            "Indonesia, Singapore: 2 adet\n",
            "France, United Kingdom, United States: 2 adet\n",
            "United Kingdom, Italy: 2 adet\n",
            "China, Taiwan: 2 adet\n",
            "Spain, United Kingdom: 2 adet\n",
            "Germany, Czech Republic: 2 adet\n",
            "Australia, United Kingdom: 2 adet\n",
            "United Arab Emirates, United States: 2 adet\n",
            "United Kingdom, Nigeria: 2 adet\n",
            "Colombia, Mexico, United States: 2 adet\n",
            "United States, South Korea, China: 2 adet\n",
            "Canada, South Africa: 2 adet\n",
            "Spain, Mexico: 2 adet\n",
            "Norway, Iceland, United States: 2 adet\n",
            "United Kingdom,: 2 adet\n",
            "United Kingdom, United States, France: 2 adet\n",
            "United Kingdom, France, Germany, United States: 2 adet\n",
            "India, Germany: 2 adet\n",
            "United Kingdom, India, United States: 2 adet\n",
            "United States, United Kingdom, Canada: 2 adet\n",
            "Thailand, United States: 2 adet\n",
            "Ireland, United Kingdom: 2 adet\n",
            "Jordan: 2 adet\n",
            "Pakistan, United States: 2 adet\n",
            "Ukraine: 2 adet\n",
            "Brazil, France: 2 adet\n",
            "Portugal, Spain: 2 adet\n",
            "United States, Thailand: 2 adet\n",
            "Netherlands, Belgium: 2 adet\n",
            "Turkey, United States: 2 adet\n",
            "Argentina, Chile: 2 adet\n",
            "Canada, United Kingdom, United States: 2 adet\n",
            "United Kingdom, Belgium: 2 adet\n",
            "Singapore, United States: 2 adet\n",
            "United States, Nigeria: 2 adet\n",
            "United States, Greece: 2 adet\n",
            "New Zealand, United States: 2 adet\n",
            "Ireland, United Kingdom, United States: 2 adet\n",
            "Lebanon, Canada, France: 2 adet\n",
            "Canada, United States, France: 2 adet\n",
            "United States, South Korea: 2 adet\n",
            "France, Japan, United States: 2 adet\n",
            "Canada, Australia: 2 adet\n",
            "United States, United Kingdom, Germany: 2 adet\n",
            "Belgium, Netherlands: 2 adet\n",
            "Canada, India: 2 adet\n",
            "Serbia, United States: 2 adet\n",
            "United States, Japan, Canada: 2 adet\n",
            "China, United States: 2 adet\n",
            "Australia, Canada: 2 adet\n",
            "Switzerland: 2 adet\n",
            "Canada, United Kingdom: 2 adet\n",
            "Australia, United Arab Emirates: 2 adet\n",
            "United States, Argentina: 2 adet\n",
            "Czech Republic, United States: 2 adet\n",
            "United States, Italy, Romania, United Kingdom: 1 adet\n",
            "Spain, United States: 1 adet\n",
            "United States, Singapore: 1 adet\n",
            "United Kingdom, Australia, France, United States: 1 adet\n",
            "Italy, Brazil, Greece: 1 adet\n",
            "United States, Italy, France, Japan: 1 adet\n",
            "United States, France, Italy, United Kingdom: 1 adet\n",
            "Argentina, Venezuela: 1 adet\n",
            ", South Korea: 1 adet\n",
            "India, Nepal: 1 adet\n",
            "New Zealand, Australia, France, United States: 1 adet\n",
            "United Kingdom, Germany, Spain, United States: 1 adet\n",
            "United States, India, United Kingdom: 1 adet\n",
            "Finland: 1 adet\n",
            "South Africa, United States, Japan: 1 adet\n",
            "France, Canada, United States, Spain: 1 adet\n",
            "United States, India, France: 1 adet\n",
            "United States, Ghana, Burkina Faso, United Kingdom, Germany, Ethiopia: 1 adet\n",
            "United Kingdom, Australia, France: 1 adet\n",
            "United Kingdom, United States, France, Italy: 1 adet\n",
            "Belgium, United Kingdom: 1 adet\n",
            "Spain, United Kingdom, United States: 1 adet\n",
            "United Kingdom, Australia, United States: 1 adet\n",
            "Australia, Germany: 1 adet\n",
            "South Korea, Czech Republic: 1 adet\n",
            "Australia, New Zealand: 1 adet\n",
            "Ireland, United States, United Kingdom: 1 adet\n",
            "France, Netherlands, Singapore: 1 adet\n",
            "Switzerland, United Kingdom, Australia: 1 adet\n",
            "Canada, United States, Mexico: 1 adet\n",
            "Hong Kong, Canada, United States: 1 adet\n",
            "Lebanon, Palestine, Denmark, Qatar: 1 adet\n",
            "Canada, Nigeria, United States: 1 adet\n",
            "Czech Republic, United Kingdom, United States: 1 adet\n",
            "Syria, France, Lebanon, Qatar: 1 adet\n",
            "China, United States, Canada: 1 adet\n",
            "Lebanon, United Arab Emirates: 1 adet\n",
            "Canada, United States, Denmark: 1 adet\n",
            "Germany, United States, France: 1 adet\n",
            "United States, United Kingdom, New Zealand: 1 adet\n",
            "Norway, Denmark: 1 adet\n",
            "Mauritius: 1 adet\n",
            "Lebanon, Syria: 1 adet\n",
            "Mexico, Brazil: 1 adet\n",
            "Germany, France: 1 adet\n",
            "United Kingdom, France, Spain, United States: 1 adet\n",
            "United States, Mexico, Spain, Malta: 1 adet\n",
            "Zimbabwe: 1 adet\n",
            "Georgia, Germany, France: 1 adet\n",
            "Philippines, Singapore, Indonesia: 1 adet\n",
            "Finland, Germany: 1 adet\n",
            "Italy, United Kingdom: 1 adet\n",
            "United Kingdom, France, Poland, Germany, United States: 1 adet\n",
            "United States, Brazil, Japan, Spain, India: 1 adet\n",
            "United States, China, United Kingdom: 1 adet\n",
            "Cameroon: 1 adet\n",
            "Uruguay, Germany: 1 adet\n",
            "France, United States, United Kingdom, Canada: 1 adet\n",
            "Egypt, Saudi Arabia: 1 adet\n",
            "Ireland, Switzerland, United Kingdom, France, United States: 1 adet\n",
            "Mexico, France, Colombia: 1 adet\n",
            "United Kingdom, South Africa, France: 1 adet\n",
            "Ireland, United Kingdom, France, Germany: 1 adet\n",
            "Russia, United States: 1 adet\n",
            "France, United Kingdom: 1 adet\n",
            "Egypt, Denmark, Germany: 1 adet\n",
            "United States, United Kingdom, Germany, Hungary: 1 adet\n",
            "United States, Switzerland: 1 adet\n",
            "United States, France, Canada, Belgium: 1 adet\n",
            "France, Israel, Germany, United States, United Kingdom: 1 adet\n",
            "Philippines, Canada, United Kingdom, United States: 1 adet\n",
            "Canada, United States, Cayman Islands: 1 adet\n",
            "United Kingdom, Germany, France, United States: 1 adet\n",
            "United States, Ireland, United Kingdom, India: 1 adet\n",
            "Senegal: 1 adet\n",
            "France, Algeria: 1 adet\n",
            "United Kingdom, Finland, Germany, United States, Australia, Japan, France, Ireland: 1 adet\n",
            "Ireland, France, Iceland, United States, Mexico, Belgium, United Kingdom, Hong Kong: 1 adet\n",
            "United Kingdom, Spain, United States: 1 adet\n",
            "United States, France, Serbia: 1 adet\n",
            "France, Norway, Lebanon, Belgium: 1 adet\n",
            "Sweden, Czech Republic, United Kingdom, Denmark, Netherlands: 1 adet\n",
            "United States, United Kingdom, India: 1 adet\n",
            "Spain, France, Canada, United States: 1 adet\n",
            "China, Spain, South Korea, United States: 1 adet\n",
            "Hungary, United States: 1 adet\n",
            "Portugal, United States: 1 adet\n",
            ", France, Algeria: 1 adet\n",
            "Lebanon, France: 1 adet\n",
            "United Kingdom, Ireland, United States: 1 adet\n",
            "Ireland, Luxembourg, Belgium: 1 adet\n",
            "Canada, Belgium: 1 adet\n",
            "Lebanon, United Arab Emirates, France, Switzerland, Germany: 1 adet\n",
            "France, Belgium, Italy: 1 adet\n",
            "Lebanon, United States, United Arab Emirates: 1 adet\n",
            "France, Lebanon: 1 adet\n",
            "Spain, Belgium, United States: 1 adet\n",
            "France, Lebanon, United Kingdom: 1 adet\n",
            "United States, China, Canada: 1 adet\n",
            "United States, Malta, France, United Kingdom: 1 adet\n",
            "United Kingdom, Singapore: 1 adet\n",
            "Canada, Hungary, United States: 1 adet\n",
            "United States, Cambodia, Romania: 1 adet\n",
            "France, Belgium, Luxembourg, Cambodia,: 1 adet\n",
            "United Kingdom, Australia: 1 adet\n",
            "Belarus: 1 adet\n",
            "United States, Belgium, Canada, France: 1 adet\n",
            "United Kingdom, France, United States, Belgium, Luxembourg, China, Germany: 1 adet\n",
            "Germany, China, United Kingdom: 1 adet\n",
            "United States, United Kingdom, Canada, China: 1 adet\n",
            "Australia, New Zealand, United States: 1 adet\n",
            "Hong Kong, Iceland, United States: 1 adet\n",
            "France, Australia, Germany: 1 adet\n",
            "South Africa, Angola: 1 adet\n",
            "Indonesia, United Kingdom: 1 adet\n",
            "United States, Philippines: 1 adet\n",
            "Luxembourg: 1 adet\n",
            "Chile, Brazil: 1 adet\n",
            "India, United Kingdom, France, Qatar: 1 adet\n",
            "Kuwait, United States: 1 adet\n",
            "Spain, France, United Kingdom, United States: 1 adet\n",
            "United Kingdom, France, Germany, Spain: 1 adet\n",
            "United Kingdom, Kenya: 1 adet\n",
            "Namibia: 1 adet\n",
            "Turkey, South Korea: 1 adet\n",
            "United Kingdom, China: 1 adet\n",
            "Indonesia, Netherlands: 1 adet\n",
            "United States, Canada, United Kingdom: 1 adet\n",
            "Mozambique: 1 adet\n",
            "United Arab Emirates, Jordan, Lebanon, Saudi Arabia: 1 adet\n",
            "United States, France, Canada: 1 adet\n",
            "Nigeria, United Kingdom: 1 adet\n",
            "Canada, South Korea, United States: 1 adet\n",
            "Egypt, Algeria: 1 adet\n",
            "France, Brazil, Spain, Belgium: 1 adet\n",
            "Peru, Germany, Norway: 1 adet\n",
            "Chile, Italy: 1 adet\n",
            "Switzerland, France, Belgium, United States: 1 adet\n",
            "United Kingdom, Germany, United Arab Emirates, New Zealand: 1 adet\n",
            "Canada, Nigeria: 1 adet\n",
            "Canada, Germany, France, United States: 1 adet\n",
            "Uruguay, Argentina: 1 adet\n",
            "United States, China, Colombia: 1 adet\n",
            "Saudi Arabia, Netherlands, Germany, Jordan, United Arab Emirates, United States: 1 adet\n",
            "United Kingdom, Spain: 1 adet\n",
            "Finland, France: 1 adet\n",
            "United Kingdom, Germany, United States, France: 1 adet\n",
            "Italy, United Kingdom, France: 1 adet\n",
            "United States, Mexico, Colombia: 1 adet\n",
            "India, United Kingdom, China, Canada, Japan, South Korea, United States: 1 adet\n",
            "Turkey, India: 1 adet\n",
            "Italy, Turkey: 1 adet\n",
            "United Kingdom, United States, Japan: 1 adet\n",
            "France, Belgium, United States: 1 adet\n",
            "Puerto Rico, United States, Colombia: 1 adet\n",
            "United States, United Kingdom, France, Germany, Japan: 1 adet\n",
            "Romania, United States: 1 adet\n",
            "Spain, France, United States: 1 adet\n",
            "France, Malta, United States: 1 adet\n",
            "United Kingdom, France, Belgium, Canada, United States: 1 adet\n",
            "Taiwan, China: 1 adet\n",
            "United Kingdom, United States, Ireland: 1 adet\n",
            "Brazil, United Kingdom: 1 adet\n",
            "Romania, France, Switzerland, Germany: 1 adet\n",
            "Romania, United Kingdom: 1 adet\n",
            "Cyprus: 1 adet\n",
            "United Kingdom, France, Belgium, Ireland, United States: 1 adet\n",
            "United States, United Kingdom, Japan: 1 adet\n",
            "United States, Norway, Canada: 1 adet\n",
            "Kenya, United States: 1 adet\n",
            "France, South Korea, Japan, United States: 1 adet\n",
            "Taiwan, Malaysia: 1 adet\n",
            "Uruguay, Argentina, Germany, Spain: 1 adet\n",
            "Netherlands, Germany, Denmark, United Kingdom: 1 adet\n",
            "Indonesia, South Korea, Singapore: 1 adet\n",
            "Thailand, China, United States: 1 adet\n",
            "Brazil, United States: 1 adet\n",
            "United Kingdom, United States, Germany, Denmark, Belgium, Japan: 1 adet\n",
            "Spain, Germany, Denmark, United States: 1 adet\n",
            "Norway, Sweden: 1 adet\n",
            "South Korea, Canada, United States, China: 1 adet\n",
            "Argentina, Uruguay, Serbia: 1 adet\n",
            "France, Japan: 1 adet\n",
            "Mauritius, South Africa: 1 adet\n",
            "Canada, Norway: 1 adet\n",
            "United Kingdom, Hungary, Australia: 1 adet\n",
            "India, United Kingdom, Canada, United States: 1 adet\n",
            "Philippines, United States: 1 adet\n",
            "Romania, Bulgaria, Hungary: 1 adet\n",
            "Uruguay, Guatemala: 1 adet\n",
            "France, Senegal, Belgium: 1 adet\n",
            "Mexico, United States, Spain, Colombia: 1 adet\n",
            "United States, Poland: 1 adet\n",
            "Netherlands, Germany, Italy, Canada: 1 adet\n",
            "Finland, Germany, Belgium: 1 adet\n",
            "United States, South Korea, Japan: 1 adet\n",
            "Colombia, Peru, United Kingdom: 1 adet\n",
            "Germany, Italy: 1 adet\n",
            "Taiwan, China, France, United States: 1 adet\n",
            "Philippines, Singapore: 1 adet\n",
            "Malaysia, Singapore, Hong Kong: 1 adet\n",
            "India, Turkey: 1 adet\n",
            "Argentina, United States, Mexico: 1 adet\n",
            "Denmark, Brazil, France, Portugal, Sweden: 1 adet\n",
            "United Kingdom, Hong Kong: 1 adet\n",
            "South Africa, Nigeria: 1 adet\n",
            "France, Belgium, Luxembourg, Romania, Canada, United States: 1 adet\n",
            "Singapore, Malaysia: 1 adet\n",
            "Italy, Belgium: 1 adet\n",
            "Austria, Germany: 1 adet\n",
            "Argentina, United States: 1 adet\n",
            "United Kingdom, Japan: 1 adet\n",
            "United States, Taiwan: 1 adet\n",
            "Canada, Brazil: 1 adet\n",
            "Canada, Germany: 1 adet\n",
            "Pakistan, United Arab Emirates: 1 adet\n",
            "Ghana, United States: 1 adet\n",
            "United Arab Emirates, United Kingdom, India: 1 adet\n",
            "Spain, Belgium: 1 adet\n",
            "Austria, Iraq, United States: 1 adet\n",
            "Denmark, Spain: 1 adet\n",
            "United Kingdom, Malawi: 1 adet\n",
            "Paraguay, Argentina: 1 adet\n",
            "United Kingdom, Russia, United States: 1 adet\n",
            "India, Pakistan: 1 adet\n",
            "United Kingdom, West Germany: 1 adet\n",
            "India, Australia: 1 adet\n",
            "Chile, Argentina: 1 adet\n",
            "Mexico, Finland: 1 adet\n",
            "Uruguay, Spain, Mexico: 1 adet\n",
            "Russia, Poland, Serbia: 1 adet\n",
            "Norway, Denmark, Netherlands, Sweden: 1 adet\n",
            "Ireland, Canada: 1 adet\n",
            "Italy, Switzerland, France, Germany: 1 adet\n",
            "Mexico, Netherlands: 1 adet\n",
            "Germany, France, Russia: 1 adet\n",
            "France, Iran, United States: 1 adet\n",
            "Spain, Portugal: 1 adet\n",
            "Iceland, Sweden, Belgium: 1 adet\n",
            "Mexico, Argentina: 1 adet\n",
            "United Kingdom, Canada, United States, Cayman Islands: 1 adet\n",
            "Indonesia, United States: 1 adet\n",
            "United States, Israel, United Kingdom, Canada: 1 adet\n",
            "Uruguay, Argentina, Spain: 1 adet\n",
            "Croatia: 1 adet\n",
            "United States,: 1 adet\n",
            "Netherlands, Belgium, Germany, Jordan: 1 adet\n",
            "Spain, Colombia: 1 adet\n",
            "Cambodia: 1 adet\n",
            "United States, Brazil, South Korea, Mexico, Japan, Germany: 1 adet\n",
            "China, Japan: 1 adet\n",
            "Argentina, France: 1 adet\n",
            "China, United States, United Kingdom: 1 adet\n",
            "France, Luxembourg, United States: 1 adet\n",
            "Colombia, Mexico: 1 adet\n",
            "United States, Canada, Ireland: 1 adet\n",
            "United Kingdom, South Africa, Australia, United States: 1 adet\n",
            "Chile, Peru: 1 adet\n",
            "Argentina, Italy: 1 adet\n",
            "Canada, Japan, United States: 1 adet\n",
            "United Kingdom, Canada, United States, Germany: 1 adet\n",
            "Italy, Switzerland, Albania, Poland: 1 adet\n",
            "France, Luxembourg, Canada: 1 adet\n",
            "India, Germany, Austria: 1 adet\n",
            "China, United States, Australia: 1 adet\n",
            "Belgium, United Kingdom, United States: 1 adet\n",
            "Italy, United States, Argentina: 1 adet\n",
            "United States, Canada, Indonesia, United Kingdom, China, Singapore: 1 adet\n",
            "India, Mexico: 1 adet\n",
            "South Korea, China, United States: 1 adet\n",
            "Canada, Germany, South Africa: 1 adet\n",
            "Soviet Union, India: 1 adet\n",
            "Georgia: 1 adet\n",
            "South Korea, China: 1 adet\n",
            "Saudi Arabia, Syria, Egypt, Lebanon, Kuwait: 1 adet\n",
            "Norway, Germany, Sweden: 1 adet\n",
            "Philippines, Qatar: 1 adet\n",
            "United Kingdom, Spain, United States, Germany: 1 adet\n",
            "Argentina, Brazil, France, Poland, Germany, Denmark: 1 adet\n",
            "Bulgaria: 1 adet\n",
            "Spain, Thailand, United States: 1 adet\n",
            "Ireland, Canada, United States, United Kingdom: 1 adet\n",
            "United States, France, Denmark: 1 adet\n",
            "Germany, Sri Lanka: 1 adet\n",
            "Netherlands, Denmark, France, Germany: 1 adet\n",
            "South Korea, Japan: 1 adet\n",
            "United Kingdom, Pakistan: 1 adet\n",
            "France, New Zealand: 1 adet\n",
            "United Kingdom, Czech Republic, United States, Germany, Bahamas: 1 adet\n",
            "China, Germany, India, United States: 1 adet\n",
            "Australia, United Kingdom, United Arab Emirates, Canada: 1 adet\n",
            "United Kingdom, Russia: 1 adet\n",
            "Sweden, Netherlands: 1 adet\n",
            "Hong Kong, China, Singapore: 1 adet\n",
            "France, Morocco: 1 adet\n",
            "United States, United Kingdom, Italy: 1 adet\n",
            "Denmark, France, Poland: 1 adet\n",
            "New Zealand, United Kingdom: 1 adet\n",
            "United States, Israel, Italy, South Africa: 1 adet\n",
            "United States, Iceland: 1 adet\n",
            "United States, Germany, United Kingdom, Australia: 1 adet\n",
            "United Kingdom, Egypt, United States: 1 adet\n",
            "Austria, Czech Republic: 1 adet\n",
            "Lebanon, Qatar: 1 adet\n",
            "United Kingdom, France, Belgium, United States: 1 adet\n",
            "United Kingdom, Jordan, Qatar, Iran: 1 adet\n",
            "France, South Korea, Japan: 1 adet\n",
            "Israel, Germany, France: 1 adet\n",
            "Spain, Mexico, France: 1 adet\n",
            "Denmark, Sweden, Israel, United States: 1 adet\n",
            "United States, India, Bangladesh: 1 adet\n",
            "France, United States, Mexico: 1 adet\n",
            "Australia, Armenia, Japan, Jordan, Mexico, Mongolia, New Zealand, Philippines, South Africa, Sweden, United States, Uruguay: 1 adet\n",
            "India, Iran: 1 adet\n",
            "Norway, Germany: 1 adet\n",
            "France, Belgium, Spain: 1 adet\n",
            "Netherlands, Denmark, South Africa: 1 adet\n",
            "Iran, France: 1 adet\n",
            "United Kingdom, United States, France, Germany: 1 adet\n",
            "United Kingdom, China, United States, India: 1 adet\n",
            "Israel, Germany: 1 adet\n",
            "Mexico, France: 1 adet\n",
            "Austria, United States: 1 adet\n",
            "United States, New Zealand, United Kingdom: 1 adet\n",
            "United Kingdom, Lithuania: 1 adet\n",
            "United States, Greece, United Kingdom: 1 adet\n",
            "United States, Sweden, Norway: 1 adet\n",
            "Australia, France: 1 adet\n",
            "United Kingdom, United States, Morocco: 1 adet\n",
            "United States, United Kingdom, Morocco: 1 adet\n",
            "Spain, Canada, United States: 1 adet\n",
            "Finland, United States: 1 adet\n",
            "United States, Germany, United Kingdom, Italy: 1 adet\n",
            "Guatemala: 1 adet\n",
            "United States, Czech Republic, United Kingdom: 1 adet\n",
            "Ireland, Canada, Luxembourg, United States, United Kingdom, Philippines, India: 1 adet\n",
            "United States, Canada, China: 1 adet\n",
            "France, Canada, United States: 1 adet\n",
            "Spain, France, Uruguay: 1 adet\n",
            "Israel, Germany, Poland, Luxembourg, Belgium, France, United States: 1 adet\n",
            "United States, France, Canada, Spain: 1 adet\n",
            "Brazil, India, China, United States: 1 adet\n",
            "South Africa, China, United States: 1 adet\n",
            "Czech Republic, Slovakia: 1 adet\n",
            "Bulgaria, United States, Spain, Canada: 1 adet\n",
            "Canada, France: 1 adet\n",
            "Cambodia, United States: 1 adet\n",
            "France, Canada, Belgium: 1 adet\n",
            "Brazil, Netherlands, United States, Colombia, Austria, Germany: 1 adet\n",
            "Canada, Luxembourg: 1 adet\n",
            "United Kingdom, France, Germany: 1 adet\n",
            "West Germany: 1 adet\n",
            "Chile, France: 1 adet\n",
            "Chile, Spain, Argentina, Germany: 1 adet\n",
            "Italy, Canada, France: 1 adet\n",
            "United Kingdom, Czech Republic, Germany, United States: 1 adet\n",
            "United States, Nicaragua: 1 adet\n",
            "United States, Italy, United Kingdom, Liechtenstein: 1 adet\n",
            "Denmark, France, Belgium, Italy, Netherlands, United States, United Kingdom: 1 adet\n",
            "United States, Australia, Mexico: 1 adet\n",
            "Canada, France, Italy, Morocco, United States: 1 adet\n",
            "United Kingdom, Denmark, Canada, Croatia: 1 adet\n",
            "Spain, Cuba: 1 adet\n",
            "South Africa, United States, New Zealand, Canada: 1 adet\n",
            "Italy, Germany: 1 adet\n",
            "Finland, Sweden, Norway, Latvia, Germany: 1 adet\n",
            "Turkey, France, Germany, Poland: 1 adet\n",
            "United States, Brazil: 1 adet\n",
            "United States, France, United Kingdom, Japan: 1 adet\n",
            "France, China, Japan, United States: 1 adet\n",
            "United States, France, Mexico: 1 adet\n",
            "United Kingdom, Canada, Italy: 1 adet\n",
            "Czech Republic, France: 1 adet\n",
            "United States, Indonesia: 1 adet\n",
            "Canada, Spain, France: 1 adet\n",
            "Germany, Belgium: 1 adet\n",
            "Taiwan, Hong Kong, United States, China: 1 adet\n",
            "Venezuela: 1 adet\n",
            "Germany, France, Luxembourg, United Kingdom, United States: 1 adet\n",
            "Spain, France, Italy: 1 adet\n",
            "Germany, Australia: 1 adet\n",
            "Germany, United States, Hong Kong, Singapore: 1 adet\n",
            "United States, Canada, Belgium, United Kingdom: 1 adet\n",
            "United States, United Kingdom, Denmark, Sweden: 1 adet\n",
            "France, Germany, Switzerland: 1 adet\n",
            "Pakistan, Norway, United States: 1 adet\n",
            "Brazil, France, Germany: 1 adet\n",
            "United Kingdom, South Africa: 1 adet\n",
            "Spain, Italy, Argentina: 1 adet\n",
            "United Kingdom, France, United States, Belgium: 1 adet\n",
            "Germany, Australia, France, China: 1 adet\n",
            "United States, Denmark: 1 adet\n",
            "Norway, United States: 1 adet\n",
            "United States, Bermuda, Ecuador: 1 adet\n",
            "United States, Hungary, Ireland, Canada: 1 adet\n",
            "Canada, Japan, Netherlands: 1 adet\n",
            "United States, France, United Kingdom: 1 adet\n",
            "Denmark, Zimbabwe: 1 adet\n",
            "France, Canada, China, Cambodia: 1 adet\n",
            "France, United Kingdom, India: 1 adet\n",
            "Netherlands, United States: 1 adet\n",
            "Spain, Switzerland: 1 adet\n",
            "United States, Australia, China: 1 adet\n",
            "South Africa, United States, Germany: 1 adet\n",
            "United Kingdom, Ukraine, United States: 1 adet\n",
            "Belgium, France, Netherlands: 1 adet\n",
            "Chile, United States, France: 1 adet\n",
            "United States, Colombia, Mexico: 1 adet\n",
            "Ireland, South Africa: 1 adet\n",
            "United Kingdom, Germany, Canada: 1 adet\n",
            "France, Qatar: 1 adet\n",
            "France, Germany: 1 adet\n",
            "United Kingdom, Italy, Israel, Peru, United States: 1 adet\n",
            "United States, Hungary: 1 adet\n",
            "Argentina, Uruguay, Spain, France: 1 adet\n",
            "United States, Canada, France: 1 adet\n",
            "Singapore, France: 1 adet\n",
            "United Kingdom, Poland, United States: 1 adet\n",
            "Greece, United States: 1 adet\n",
            "United Arab Emirates, United States, United Kingdom: 1 adet\n",
            "United Kingdom, Israel, Russia: 1 adet\n",
            "Czech Republic, United Kingdom, France: 1 adet\n",
            "Italy, France, Switzerland: 1 adet\n",
            "Denmark, Singapore, Canada, United States: 1 adet\n",
            "Germany, France, United States, Canada, United Kingdom: 1 adet\n",
            "Germany, United Kingdom, United States: 1 adet\n",
            "South Africa, Germany, Netherlands, France: 1 adet\n",
            "Canada, United States, United Kingdom, France, Luxembourg: 1 adet\n",
            "United States, Cambodia: 1 adet\n",
            "Norway, United Kingdom, France, Ireland: 1 adet\n",
            "United Kingdom, Poland: 1 adet\n",
            "United States, New Zealand, Japan: 1 adet\n",
            "United Kingdom, United States, Dominican Republic: 1 adet\n",
            "United States, Netherlands, Japan, France: 1 adet\n",
            "India, Switzerland: 1 adet\n",
            "United States, Morocco: 1 adet\n",
            "Singapore, Japan, France: 1 adet\n",
            "Canada, Mexico, Germany, South Africa: 1 adet\n",
            "United Kingdom, United States, Canada: 1 adet\n",
            "United States, Senegal: 1 adet\n",
            "Canada, Ireland, United States: 1 adet\n",
            "Canada, France, United States: 1 adet\n",
            "Ireland, United States: 1 adet\n",
            "Canada, Spain: 1 adet\n",
            "United States, France, Canada, Lebanon, Qatar: 1 adet\n",
            "Germany, United States, Canada: 1 adet\n",
            "Hong Kong, Taiwan: 1 adet\n",
            "India, Japan: 1 adet\n",
            "United States, Canada, Germany: 1 adet\n",
            "Ireland, United Kingdom, Italy, United States: 1 adet\n",
            "United Kingdom, France, Belgium: 1 adet\n",
            "Poland,: 1 adet\n",
            "Slovenia, Croatia, Germany, Czech Republic, Qatar: 1 adet\n",
            "Canada, United Kingdom, Netherlands: 1 adet\n",
            "United States, Spain, Germany: 1 adet\n",
            "China, South Korea, United States: 1 adet\n",
            "Ireland, United States, France: 1 adet\n",
            "United States, Uruguay: 1 adet\n",
            "Israel, Sweden, Germany, Netherlands: 1 adet\n",
            "India, Canada: 1 adet\n",
            "Venezuela, Colombia: 1 adet\n",
            "India, Malaysia: 1 adet\n",
            "Denmark, France, United States, Sweden: 1 adet\n",
            "Australia, Iraq: 1 adet\n",
            "China, Morocco, Hong Kong: 1 adet\n",
            "Canada, United States, Germany: 1 adet\n",
            "United Kingdom, Thailand: 1 adet\n",
            "Germany, Jordan, Netherlands: 1 adet\n",
            "Ireland, Canada, United Kingdom, United States: 1 adet\n",
            "United Kingdom, Belgium, Sweden: 1 adet\n",
            "United Arab Emirates, Romania: 1 adet\n",
            "Saudi Arabia, United Arab Emirates: 1 adet\n",
            "Canada, United States, Ireland: 1 adet\n",
            "Japan, Canada, United States: 1 adet\n",
            "Spain, France, Canada: 1 adet\n",
            "France, Switzerland, Spain, United States, United Arab Emirates: 1 adet\n",
            "Denmark, Germany, Belgium, United Kingdom, France, Sweden: 1 adet\n",
            "Denmark, Germany, Belgium, United Kingdom, France: 1 adet\n",
            "United States, India, South Korea, China: 1 adet\n",
            "Chile, Argentina, France, Spain, United States: 1 adet\n",
            "United States, Botswana: 1 adet\n",
            "Italy, India: 1 adet\n",
            "Switzerland, France: 1 adet\n",
            "Colombia, United States: 1 adet\n",
            "France, Germany, Czech Republic, Belgium: 1 adet\n",
            "Switzerland, Vatican City, Italy, Germany, France: 1 adet\n",
            "Portugal, France, Poland, United States: 1 adet\n",
            "Sweden, United Kingdom, Finland: 1 adet\n",
            "United States, United Kingdom, Canada, Japan: 1 adet\n",
            "Australia, India: 1 adet\n",
            "Australia, France, Ireland: 1 adet\n",
            "United States, Germany, Australia: 1 adet\n",
            "Germany, United States, Sweden: 1 adet\n",
            "Poland, West Germany: 1 adet\n",
            "Turkey, Azerbaijan: 1 adet\n",
            "Peru, United States, United Kingdom: 1 adet\n",
            "United Kingdom, Brazil, Germany: 1 adet\n",
            "United Kingdom, Namibia, South Africa, Zimbabwe, United States: 1 adet\n",
            "Canada, United States, India, United Kingdom: 1 adet\n",
            "Switzerland, United Kingdom, United States: 1 adet\n",
            "United Kingdom, India, Sweden: 1 adet\n",
            "United States, Brazil, India, Uganda, China: 1 adet\n",
            "Canada, India, Thailand, United States, United Arab Emirates: 1 adet\n",
            "United States, France, South Korea, Indonesia: 1 adet\n",
            "Belgium, Ireland, Netherlands, Germany, Afghanistan: 1 adet\n",
            "United States, East Germany, West Germany: 1 adet\n",
            "France, Netherlands, South Africa, Finland: 1 adet\n",
            "Egypt, Austria, United States: 1 adet\n",
            "Russia, Spain: 1 adet\n",
            "Croatia, Slovenia, Serbia, Montenegro: 1 adet\n",
            "Germany, United States, United Kingdom, Canada: 1 adet\n",
            "India, Germany, France: 1 adet\n",
            "United Kingdom, Canada, France, United States: 1 adet\n",
            "United States, India, United Arab Emirates: 1 adet\n",
            "Argentina, France, United States, Germany, Qatar: 1 adet\n",
            "United States, Kazakhstan: 1 adet\n",
            "Denmark, United Kingdom, Sweden: 1 adet\n",
            "United Kingdom, France, Canada, Belgium, United States: 1 adet\n",
            "France, United States, Canada: 1 adet\n",
            "Australia, United Kingdom, United States, New Zealand, Italy, France: 1 adet\n",
            "Jamaica, United States: 1 adet\n",
            "United States, Germany, United Kingdom: 1 adet\n",
            "Australia, United Kingdom, Canada: 1 adet\n",
            "United Kingdom, New Zealand: 1 adet\n",
            "China, Hong Kong, United States: 1 adet\n",
            "Thailand, Canada, United States: 1 adet\n",
            "Switzerland, United States: 1 adet\n",
            "Japan, Canada: 1 adet\n",
            "United Kingdom, China, United States: 1 adet\n",
            "Argentina, Chile, Peru: 1 adet\n",
            "United Kingdom, Norway, Denmark, Germany, Sweden: 1 adet\n",
            "United States, United Kingdom, Spain, South Korea: 1 adet\n",
            "Russia, United States, China: 1 adet\n",
            "Denmark, China: 1 adet\n",
            "Netherlands, Belgium, United Kingdom, United States: 1 adet\n",
            "France, Belgium, China, United States: 1 adet\n",
            "United States, Chile, Israel: 1 adet\n",
            "Norway, Denmark, Sweden: 1 adet\n",
            "United Kingdom, United States, Czech Republic: 1 adet\n",
            "China, India, Nepal: 1 adet\n",
            "United Kingdom, South Korea: 1 adet\n",
            "United States, Greece, Brazil: 1 adet\n",
            "United Kingdom, Germany, Canada, United States: 1 adet\n",
            "South Korea, France: 1 adet\n",
            "United States, Australia, Samoa, United Kingdom: 1 adet\n",
            "Italy, South Africa, West Germany, Australia, United States: 1 adet\n",
            "Germany, United States, Italy: 1 adet\n",
            "United Kingdom, Australia, Canada, United States: 1 adet\n",
            "New Zealand, United Kingdom, Australia: 1 adet\n",
            "Germany, Canada, United States: 1 adet\n",
            "Denmark, United Kingdom, South Africa, Sweden, Belgium: 1 adet\n",
            "Serbia, South Korea, Slovenia: 1 adet\n",
            "United Kingdom, Spain, Belgium: 1 adet\n",
            "United States, Canada, Japan, Panama: 1 adet\n",
            "Somalia, Kenya, Sudan, South Africa, United States: 1 adet\n",
            "United States, Germany, Mexico: 1 adet\n",
            "United States, Australia, South Africa, United Kingdom: 1 adet\n",
            "Denmark, Indonesia, Finland, Norway, United Kingdom, Israel, France, United States, Germany, Netherlands: 1 adet\n",
            "Ireland, United Kingdom, Greece, France, Netherlands: 1 adet\n",
            "France, Canada, Italy, United States, China: 1 adet\n",
            "United States, Venezuela: 1 adet\n",
            "United Kingdom, Canada, Japan: 1 adet\n",
            "United Arab Emirates, Jordan: 1 adet\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "movie_year = veri[veri['type'] == 'Movie']['listed_in'].str.split(', ').explode()\n",
        "\n",
        "son_on_yıl = movie_year.value_counts()\n",
        "\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "son_on_yıl.plot(kind='bar')\n",
        "plt.title('Movie Kategorilerine Göre Film Sayısı')\n",
        "plt.xlabel('Kategori')\n",
        "plt.ylabel('Film Sayısı')\n",
        "plt.xticks(rotation=90)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        },
        "id": "OBYLCdOgnshS",
        "outputId": "ab353e3d-09a3-45bf-a628-ae287f770d84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "movie_kategoriler = veri[veri['type'] == 'Movie']['listed_in'].str.split(', ').explode()\n",
        "\n",
        "en_populer_10_kategori = movie_kategoriler.value_counts().nlargest(10)\n",
        "\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "en_populer_10_kategori.plot(kind='bar')\n",
        "plt.title('En populer 10 film kategorisi')\n",
        "plt.xlabel('Kategori')\n",
        "plt.ylabel('Film Sayısı')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 498
        },
        "id": "u82URltjq0zc",
        "outputId": "793734b7-6812-45fe-debf-9f97488703bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "sc1hKgH7xJnS"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}