Test_Data_Scientist_UC(Data_Survey).ipynb

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        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ]
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      "source": [
        "#import data\n",
        "df=pd.read_csv('/content/data survey.csv')"
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        "1. Berapa jumlah data yang ada, jumlah data sesungguhnya (data unik) dari audiens dan jumlah features dalam data. Apakah terdapat missing value atau data yang hilang dalam dataset dan bagaimana menangani data tersebut"
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              "                         id                  name   age    age_range province  \\\n",
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              "425330  Riau  female  Kecantikan         Make Up  \n",
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      "source": [
        "df.isnull().sum() #melihat data missing value"
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              "id                      0\n",
              "name                    3\n",
              "age                160297\n",
              "age_range          160297\n",
              "province           108031\n",
              "city               108031\n",
              "gender              50881\n",
              "interest                0\n",
              "interest_detail    302494\n",
              "dtype: int64"
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    {
      "cell_type": "code",
      "source": [
        "#melihat total baris\n",
        "df.shape"
      ],
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        },
        "id": "zEIVB8CbwJ5h",
        "outputId": "136a59e4-a1bd-4856-c806-ffad840fdfc0"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(425332, 9)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1=df['name'].unique()"
      ],
      "metadata": {
        "id": "KAFYeJULxHAt"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#melihat data yang unik\n",
        "df1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "ax4PVdcOxrdL",
        "outputId": "fd906535-c4fe-4ff8-bcbe-25f8484d8656"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(155012,)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#menghapus missing value\n",
        "clean_df= df.dropna()"
      ],
      "metadata": {
        "id": "Z2XyQkDGx1aX"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "clean_df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "8_krC5UyyCPC",
        "outputId": "6c47db1f-5e2b-4756-ef02-988f2cb11365"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                 0\n",
              "name               0\n",
              "age                0\n",
              "age_range          0\n",
              "province           0\n",
              "city               0\n",
              "gender             0\n",
              "interest           0\n",
              "interest_detail    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No2.Bagaimana pemetaan demografi umum (persentase) dari variabel gender, age_range, education dan location (province dan city) pada data tersebut? Buat visualisasi dan berikan penjelasan"
      ],
      "metadata": {
        "id": "C938G6RNyJQ8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df['age_range'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "yY0gCxp_yHzW",
        "outputId": "760c16f0-27c3-40f0-81b7-05968cc2e7ec"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "22-30 tahun    145350\n",
              "18-21 tahun     87546\n",
              "31-40 tahun     23851\n",
              "41-55 tahun      5992\n",
              "> 55 tahun       1446\n",
              "< 18 tahun        850\n",
              "Name: age_range, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan age range\n",
        "import matplotlib.pyplot as plt, seaborn as sns\n",
        "data1 = df['age_range'].value_counts()\n",
        "data1.plot(kind='bar', color='orange') \n",
        "plt.title('Age Range')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "u4iBIw-xyg2h",
        "outputId": "f2703a85-d806-4f35-bb17-2ff33fb934c5"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan gender\n",
        "data2 = df['gender'].value_counts()\n",
        "data2.plot(kind='bar', color=\"orange\")\n",
        "plt.title('Gender')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "Oj4eb-6-1WoM",
        "outputId": "dc87527d-8576-4d43-9e24-a7ff300b9b5a"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan province\n",
        "data3 = df['province'].value_counts()\n",
        "data3.plot(kind='bar',color=\"orange\") \n",
        "plt.title('Province')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 409
        },
        "id": "Ve_qT3oL1nX2",
        "outputId": "82c8e6e8-cca9-4185-f339-328d4c945824"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['city'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "Mfn9l7Ol14yF",
        "outputId": "23d28035-0384-4259-b2f0-3983adcd7ff9"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Jakarta           17070\n",
              "Bandung           14535\n",
              "Surabaya          12978\n",
              "Jawa Barat        12115\n",
              "Jawa Tengah       11156\n",
              "                  ...  \n",
              "Bengkulu Utara        1\n",
              "Kutai Timur           1\n",
              "Morowali Utara        1\n",
              "Konawe Utara          1\n",
              "Banggai Laut          1\n",
              "Name: city, Length: 397, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan city\n",
        "data4 = df['city'].value_counts()\n",
        "data4.plot(kind='bar',color=\"orange\") \n",
        "plt.title('City')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "gBsqJmuL2Ggz",
        "outputId": "f17025dc-8317-4b1d-a62b-b9bc11396c8a"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "3. Klien akan melakukan kegiatan di daerah Jawa Barat dan Jawa Tengah, bagaimana pemetaan demografi (gender dan age_range) di kedua daerah tersebut dan menurut anda kegiatan terkait apa yang anda tawarkan kepada klien agar kegiatan tersebut tepat sasaran dan diminati oleh penduduk di masing-masing daerah tersebut? Adakah perbedaan untuk kedua daerah tersebut? Buat visualisasi dan berikan penjelasan! "
      ],
      "metadata": {
        "id": "GbjTtv4I3QjH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_jabar=df[df['province']=='Jawa Barat']\n",
        "df_jateng=df[df['province']=='Jawa Tengah']\n"
      ],
      "metadata": {
        "id": "NvGg1kqM2qmt"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Jawa Tengah"
      ],
      "metadata": {
        "id": "nvRZdh0M4SOj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan gender di Jawa Tengah\n",
        "data5 = df_jateng['gender'].value_counts()\n",
        "data5.plot(kind='bar') \n",
        "plt.title('Gender di Provinsi Jawa Tengah ')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "BXR0SDmv3miw",
        "outputId": "77f9d734-0942-48c3-a4bc-a6bf6de94a55"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan Age Range di Jawa Tengah\n",
        "data6 = df_jateng['age_range'].value_counts()\n",
        "data6.plot(kind='bar') \n",
        "plt.title('Age Range di Provinsi Jawa Tengah ')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "P-ID8ybY3-tp",
        "outputId": "429d68ba-4795-4c23-8df6-82e1cb022b3b"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan Interest di Jawa Tengah\n",
        "df7 = df_jateng['interest'].value_counts()\n",
        "df7.plot(kind='bar') \n",
        "plt.title('Interest di Provinsi Jawa Tengah')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "4yo3oLYd4K2G",
        "outputId": "ff304e20-a08f-4ac6-a17f-3ee029499112"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Jawa Barat"
      ],
      "metadata": {
        "id": "aWvf0ADm46fB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan gender di Jawa Barat\n",
        "data8 = df_jabar['gender'].value_counts()\n",
        "data8.plot(kind='bar')\n",
        "plt.title('Gender di Provinsi Jawa Barat ')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "lVGtgwBb41tj",
        "outputId": "d2613f21-b735-456f-cc8e-03ed1cf672b9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan age_range di Jawa Barat\n",
        "data9 = df_jabar['age_range'].value_counts()\n",
        "data9.plot(kind='bar') \n",
        "plt.title('Age Range di Provinsi Jawa Barat ')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "bMhxe-UB5VQr",
        "outputId": "e3c719f6-250b-490e-8982-a136696b16af"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan interest di Jawa Barat\n",
        "df10 = df_jabar['interest'].value_counts()\n",
        "df10.plot(kind='bar') \n",
        "plt.title('Interest di Provinsi Jawa Barat')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "pHkVmHEZ5jEA",
        "outputId": "40874c1e-9656-4776-d4ed-5ee43e3e1b7d"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualisai berdasarkan interest di Jawa Barat & Jawa Tengah\n",
        "frames = [df_jateng, df_jabar]\n",
        "result = pd.concat(frames)\n",
        "result = result['interest'].value_counts()\n",
        "result.plot(kind='bar') \n",
        "plt.title('Interest di Jawa Barat dan Jawa Tengah')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "vHljpFUo5vWx",
        "outputId": "7f8095a5-366d-4c9c-f64b-201dda39941b"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result.value_counts"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "-8LNFyP26Dar",
        "outputId": "91ca6ace-a966-481f-fab0-1293f80c793c"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method IndexOpsMixin.value_counts of Kuliner           32964\n",
              "Pecinta Burung    25760\n",
              "Pakaian           17504\n",
              "Berkebun          13660\n",
              "Fotografi         12907\n",
              "Sepatu            11061\n",
              "Memancing          3852\n",
              "Koleksi            1501\n",
              "Aksesories         1254\n",
              "Memasak            1223\n",
              "Dasi               1048\n",
              "Tas                 603\n",
              "Menjahit            537\n",
              "Membaca             519\n",
              "Kecantikan          420\n",
              "Topi                333\n",
              "Musik               319\n",
              "Komik                98\n",
              "Perhiasan            55\n",
              "Fitness              52\n",
              "kebaya               10\n",
              "Menari                7\n",
              "Sandal                2\n",
              "Name: interest, dtype: int64>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "4. Klien meminta agar dibuat kategori ulang untung range umur (age) pada data sesuai kategori tersebut (Baby Boomers: berumur >= 60 Th; Gen X: berumur 40 – 59 Th; Gen Millennial: 25 – 39 Th; Gen Z: 10 – 24 Th; Gen Alpha: < 10 Th). Visualisasikan distribusi kategori baru tersebut!"
      ],
      "metadata": {
        "id": "omw11YKS6PI9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#kategori ulang berdasarkan umur\n",
        "def age_range (row):\n",
        "    if row['age'] >= 60:\n",
        "        return 'Baby Boomers'\n",
        "    if row['age'] >= 40 and row['age'] <= 59:\n",
        "        return 'Gen X'\n",
        "    if row['age'] >= 25 and row['age'] <= 39:\n",
        "        return 'Gen Millenial'\n",
        "    if row['age'] >= 10 and row['age'] <= 24:\n",
        "        return 'Gen Z'\n",
        "    if row['age'] >10:\n",
        "        return 'Gen Alpha'"
      ],
      "metadata": {
        "id": "jHP1rKNv6NLE"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "row=df['age']"
      ],
      "metadata": {
        "id": "S_vVR4De6nHU"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_update = df\n",
        "df_update['new_age_range'] = df_update.apply (lambda row: age_range(row), axis=1)"
      ],
      "metadata": {
        "id": "iQNdDl2Q6oOH"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_update.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "9iE3_BZS6sNL",
        "outputId": "9508a768-d29d-4822-f0d1-3ffc5c774711"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    id             name   age    age_range  \\\n",
              "0  id_4100001227501134           Sultan   NaN          NaN   \n",
              "1  id_4100001746833302     Arief Rahman  23.0  22-30 tahun   \n",
              "2  id_4100001746833302     Arief Rahman  23.0  22-30 tahun   \n",
              "3  id_4100001746833302     Arief Rahman  23.0  22-30 tahun   \n",
              "4  id_4100001746833302     Arief Rahman  23.0  22-30 tahun   \n",
              "5  id_4100003057541459  Wahyudi Nasukha  29.0  22-30 tahun   \n",
              "6  id_4100003057541459  Wahyudi Nasukha  29.0  22-30 tahun   \n",
              "7  id_4100003057541459  Wahyudi Nasukha  29.0  22-30 tahun   \n",
              "8  id_4100003057541459  Wahyudi Nasukha  29.0  22-30 tahun   \n",
              "9  id_4100003057541459  Wahyudi Nasukha  29.0  22-30 tahun   \n",
              "\n",
              "             province         city gender   interest interest_detail  \\\n",
              "0                 NaN          NaN    NaN  Fotografi             NaN   \n",
              "1  Kalimantan Selatan  Banjarmasin    NaN  Fotografi             NaN   \n",
              "2  Kalimantan Selatan  Banjarmasin    NaN    Koleksi       Batu Akik   \n",
              "3  Kalimantan Selatan  Banjarmasin    NaN    Koleksi       Batu Akik   \n",
              "4  Kalimantan Selatan  Banjarmasin    NaN    Koleksi       Batu Akik   \n",
              "5          Jawa Timur     Pasuruan   male  Fotografi             NaN   \n",
              "6          Jawa Timur     Pasuruan   male  Fotografi             NaN   \n",
              "7          Jawa Timur     Pasuruan   male    Koleksi       Batu Akik   \n",
              "8          Jawa Timur     Pasuruan   male    Koleksi       Batu Akik   \n",
              "9          Jawa Timur     Pasuruan   male    Koleksi       Batu Akik   \n",
              "\n",
              "   new_age_range  \n",
              "0           None  \n",
              "1          Gen Z  \n",
              "2          Gen Z  \n",
              "3          Gen Z  \n",
              "4          Gen Z  \n",
              "5  Gen Millenial  \n",
              "6  Gen Millenial  \n",
              "7  Gen Millenial  \n",
              "8  Gen Millenial  \n",
              "9  Gen Millenial  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-06951294-fe78-429c-b0a2-f7f810e71f40\">\n",
              "    <div 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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>age</th>\n",
              "      <th>age_range</th>\n",
              "      <th>province</th>\n",
              "      <th>city</th>\n",
              "      <th>gender</th>\n",
              "      <th>interest</th>\n",
              "      <th>interest_detail</th>\n",
              "      <th>new_age_range</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_4100001227501134</td>\n",
              "      <td>Sultan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Fotografi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_4100001746833302</td>\n",
              "      <td>Arief Rahman</td>\n",
              "      <td>23.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Kalimantan Selatan</td>\n",
              "      <td>Banjarmasin</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Fotografi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Gen Z</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_4100001746833302</td>\n",
              "      <td>Arief Rahman</td>\n",
              "      <td>23.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Kalimantan Selatan</td>\n",
              "      <td>Banjarmasin</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Z</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_4100001746833302</td>\n",
              "      <td>Arief Rahman</td>\n",
              "      <td>23.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Kalimantan Selatan</td>\n",
              "      <td>Banjarmasin</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Z</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_4100001746833302</td>\n",
              "      <td>Arief Rahman</td>\n",
              "      <td>23.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Kalimantan Selatan</td>\n",
              "      <td>Banjarmasin</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Z</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>id_4100003057541459</td>\n",
              "      <td>Wahyudi Nasukha</td>\n",
              "      <td>29.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Jawa Timur</td>\n",
              "      <td>Pasuruan</td>\n",
              "      <td>male</td>\n",
              "      <td>Fotografi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Gen Millenial</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>id_4100003057541459</td>\n",
              "      <td>Wahyudi Nasukha</td>\n",
              "      <td>29.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Jawa Timur</td>\n",
              "      <td>Pasuruan</td>\n",
              "      <td>male</td>\n",
              "      <td>Fotografi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Gen Millenial</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>id_4100003057541459</td>\n",
              "      <td>Wahyudi Nasukha</td>\n",
              "      <td>29.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Jawa Timur</td>\n",
              "      <td>Pasuruan</td>\n",
              "      <td>male</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Millenial</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>id_4100003057541459</td>\n",
              "      <td>Wahyudi Nasukha</td>\n",
              "      <td>29.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Jawa Timur</td>\n",
              "      <td>Pasuruan</td>\n",
              "      <td>male</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Millenial</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>id_4100003057541459</td>\n",
              "      <td>Wahyudi Nasukha</td>\n",
              "      <td>29.0</td>\n",
              "      <td>22-30 tahun</td>\n",
              "      <td>Jawa Timur</td>\n",
              "      <td>Pasuruan</td>\n",
              "      <td>male</td>\n",
              "      <td>Koleksi</td>\n",
              "      <td>Batu Akik</td>\n",
              "      <td>Gen Millenial</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-06951294-fe78-429c-b0a2-f7f810e71f40')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-06951294-fe78-429c-b0a2-f7f810e71f40 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-06951294-fe78-429c-b0a2-f7f810e71f40');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_update['new_age_range'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "OYWzvQWk63hd",
        "outputId": "caa8ade7-4afb-4734-e374-ee9aea8803dd"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Gen Z            164943\n",
              "Gen Millenial     91155\n",
              "Gen X              7593\n",
              "Baby Boomers       1337\n",
              "Name: new_age_range, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df13 = df_update['new_age_range'].value_counts()\n",
        "df13.plot(kind='pie', autopct='%1.0f%%') \n",
        "plt.title('New Age Range')\n",
        "\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "id": "IU65FQLpCRmk",
        "outputId": "6fabd79f-567c-4946-cc20-6850bcdee341"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "5. Apabila klien ingin membuat suatu kegiatan di daerah Jawa Timur khusus untuk audiens dengan Kategori Millenial, kegiatan apa apa saja yang sekiranya akan anda sarankan kepada klien?"
      ],
      "metadata": {
        "id": "SWxeY-o37NWO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_jatim = df_update[df_update['province'] == 'Jawa Timur']\n",
        "df_jatim_millenial = df_update[df_update['new_age_range'] == 'Gen Millenial']"
      ],
      "metadata": {
        "id": "eGxJF34g68yU"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df12 = df_jatim_millenial['interest'].value_counts()\n",
        "df12.plot(kind='bar') \n",
        "plt.title('Interest Millenial in Jatim')\n",
        "plt.ylabel('Count')\n",
        "plt.show() "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "1c74h69H7XhV",
        "outputId": "2d182a34-12ec-458c-b204-69e6e35b604c"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df12.value_counts"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "xfpOqcGpBitE",
        "outputId": "9f4aae2d-d269-4239-9830-33518ebf14aa"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method IndexOpsMixin.value_counts of Kuliner           30461\n",
              "Pecinta Burung    13371\n",
              "Pakaian           11867\n",
              "Berkebun          10934\n",
              "Fotografi          9239\n",
              "Sepatu             4576\n",
              "Memancing          2692\n",
              "Koleksi            2471\n",
              "Memasak            1035\n",
              "Aksesories          835\n",
              "Kecantikan          749\n",
              "Membaca             727\n",
              "Dasi                689\n",
              "Menjahit            516\n",
              "Tas                 398\n",
              "Musik               283\n",
              "Topi                100\n",
              "Menari               70\n",
              "Komik                51\n",
              "Fitness              36\n",
              "kebaya               26\n",
              "Perhiasan            23\n",
              "Sandal                6\n",
              "Name: interest, dtype: int64>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    }
  ]
}