{"id":576,"date":"2024-07-04T15:03:03","date_gmt":"2024-07-04T15:03:03","guid":{"rendered":"http:\/\/www.ohsumin.com\/?p=576"},"modified":"2025-06-11T01:23:00","modified_gmt":"2025-06-11T01:23:00","slug":"%ed%8f%ac%ec%95%84%ec%86%a1poisson-%eb%b6%84%ed%8f%ac","status":"publish","type":"post","link":"http:\/\/www.inmining.co.kr\/?p=576","title":{"rendered":"\ud3ec\uc544\uc1a1(Poisson) \ubd84\ud3ec"},"content":{"rendered":"\n

<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\ud3ec\uc544\uc1a1 \ubd84\ud3ec(Poisson distribution)\ub294 \uc77c\uc815\ud55c \uc2dc\uac04 \ub3d9\uc548 \ubc1c\uc0dd\ud558\ub294 \uc0ac\uac74\uc758 \uc218\ub97c \ubaa8\ub378\ub9c1\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud655\ub960 \ubd84\ud3ec\ub85c\uc11c \ub3c5\ub9bd\uc801\uc774\uace0, \uc0ac\uac74 \ubc1c\uc0dd\uc728\uc774 \uc77c\uc815\ud55c \uc774\uc0b0\uc801\uc778 \uc0ac\uac74 \ubc1c\uc0dd \uc218\ub97c \ubaa8\ub378\ub9c1\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uba70, \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548\uc774\ub098 \ud2b9\uc815 \uc601\uc5ed \ub0b4\uc5d0\uc11c \uc0ac\uac74\uc774 \ubc1c\uc0dd\ud558\ub294 \ud69f\uc218\ub97c \uc124\uba85\ud55c\ub2e4.<\/p>\n\n\n\n

<\/p>\n\n\n\n

\ud3ec\uc544\uc1a1 \ubd84\ud3ec\uc758 \ud2b9\uc9d5<\/strong><\/p>\n\n\n\n

\\(\\)<\/p>\n\n\n\n

    \n
  1. \ud3c9\uade0\uacfc \ubd84\uc0b0\uc774 \ub3d9\uc77c<\/strong>: \ud3ec\uc544\uc1a1 \ubd84\ud3ec\uc758 \ud3c9\uade0(\u03bb, \ub78c\ub2e4)\uc740 \uc77c\uc815 \uae30\uac04 \ub3d9\uc548 \ubc1c\uc0dd\ud558\ub294 \uc0ac\uac74\uc758 \ud3c9\uade0 \ud69f\uc218\ub97c \ub098\ud0c0\ub0b4\uba70, \ubd84\uc0b0\ub3c4 \ub3d9\uc77c\ud558\uac8c \u03bb\uc785\ub2c8\ub2e4.<\/li>\n\n\n\n
  2. \uc774\uc0b0 \ud655\ub960 \ubd84\ud3ec<\/strong>: \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub294 \uc5f0\uc18d\uc801\uc778 \uac12\uc774 \uc544\ub2c8\ub77c 0, 1, 2, 3 \ub4f1\uacfc \uac19\uc740 \uc774\uc0b0\uc801\uc778 \uc0ac\uac74 \uc218\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/li>\n\n\n\n
  3. \ud655\ub960 \uc9c8\ub7c9 \ud568\uc218(PMF)<\/strong>: \ud2b9\uc815 \uc0ac\uac74 \uc218 ( k )\uac00 \ubc1c\uc0dd\ud560 \ud655\ub960\uc740 \ub2e4\uc74c\uc758 \uc2dd\uc73c\ub85c \uacc4\uc0b0\ub429\ub2c8\ub2e4.[]
    \\[
    P(X = k) = \\frac{\\lambda^k e^{-\\lambda}}{k!}
    \\]
    \uc5ec\uae30\uc11c ( e )\ub294 \uc790\uc5f0 \ub85c\uadf8\uc758 \ubc11(\uc57d 2.71828)\uc774\uace0, ( k )\ub294 \ubc1c\uc0dd\ud55c \uc0ac\uac74\uc758 \uc218\uc785\ub2c8\ub2e4.<\/li>\n\n\n\n
  4. \uc801\uc6a9 \uc0ac\ub840<\/strong>: \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub294 \ub2e4\uc591\ud55c \uc2e4\uc0dd\ud65c \uc0c1\ud669\uc5d0\uc11c \uc801\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548 \ucf5c\uc13c\ud130\uc5d0 \ub3c4\ucc29\ud558\ub294 \uc804\ud654\uc758 \uc218, \ud2b9\uc815 \uac70\ub9ac\uc5d0\uc11c \ubc1c\uc0dd\ud558\ub294 \uad50\ud1b5\uc0ac\uace0\uc758 \uc218, \uc1fc\ud551\ubab0\uc5d0 \ubc29\ubb38\ud558\ub294 \uc0ac\ub78c\uc758 \uc218 \ub4f1\uc744 \ubaa8\ub378\ub9c1\ud560 \ub54c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ol>\n\n\n\n

    \ud3ec\uc544\uc1a1 \ubd84\ud3ec\uc758 \uc911\uc694\ud55c \uac00\uc815\uc740 \uc0ac\uac74\uc774 \ub3c5\ub9bd\uc801\uc73c\ub85c \ubc1c\uc0dd\ud558\uace0, \uc0ac\uac74 \ubc1c\uc0dd\ub960\uc774 \uc2dc\uac04\uc774\ub098 \uacf5\uac04\uc5d0 \ub530\ub77c \uc77c\uc815\ud558\uac8c \ub098\ud0c0\ub09c\ub2e4.\ud558\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4..<\/p>\n\n\n\n

    \ub098\ubb34\uc704\ud0a4\uc5d0\uc11c \ud3ec\uc544\uc1a1 \ubd84\ud3ec \uc124\uba85 : \ub098\ubb34\uc704\ud0a4 <\/a><\/p>\n\n\n\n

    \uc704\ud0a4\ubc31\uacfc\uc5d0\uc11c \ud3ec\uc544\uc1a1 \ubd84\ud3ec \uc124\uba85 : \uc704\ud0a4\ubc31\uacfc <\/a><\/p>\n\n\n\n

    <\/p>\n\n\n\n

    <\/span>R \ucf54\ub4dc<\/span><\/h3>\n\n\n\n
    # \ud544\uc694\ud55c \ud328\ud0a4\uc9c0 \ub85c\ub4dc\nif(!require(ggplot2)) install.packages(\"ggplot2\", dependencies=TRUE)\nlibrary(ggplot2)\n\n# \ud3c9\uade0 \uc124\uc815\nmu <- 3\n\n# x \uac12 \uc0dd\uc131\nx <- 0:15\n\n# \ud3ec\uc544\uc1a1 \ubd84\ud3ec \ud655\ub960 \uacc4\uc0b0\ny <- dpois(x, lambda = mu)\n\n# \ub370\uc774\ud130 \ud504\ub808\uc784 \uc0dd\uc131\ndata <- data.frame(x, y)\n\n# \ud3ec\uc544\uc1a1 \ubd84\ud3ec \uadf8\ub9ac\uae30\nggplot(data, aes(x=x, y=y)) +\n  geom_bar(stat=\"identity\", fill=\"skyblue\", color=\"black\") +\n  labs(title=\"Poisson Distribution (mu = 3)\", x=\"Number of events\", y=\"Probability\") +\n  theme_minimal()<\/code><\/pre>\n\n\n\n
    <\/span>Python \ucf54\ub4dc<\/span><\/h3>\n\n\n\n
    import numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy.stats import poisson\n\n# \ud3c9\uade0 \uc124\uc815\nmu = 3\n\n# x \uac12 \uc0dd\uc131\nx = np.arange(0, 15)\n\n# \ud3ec\uc544\uc1a1 \ubd84\ud3ec \ud655\ub960 \uacc4\uc0b0\ny = poisson.pmf(x, mu)\n\n# \ud3ec\uc544\uc1a1 \ubd84\ud3ec \uadf8\ub9ac\uae30\nplt.stem(x, y, use_line_collection=True)\nplt.title('Poisson Distribution (mu = 3)')\nplt.xlabel('Number of events')\nplt.ylabel('Probability')\nplt.grid(True)\nplt.show()<\/code><\/pre>\n\n\n\n
    <\/p>\n\n\n\n
    <\/span>\ud3ec\uc544\uc1a1 \ubd84\ud3ec vs \uc815\uaddc \ubd84\ud3ec<\/span><\/h3>\n\n\n\n
      \n
    • \ud3ec\uc544\uc1a1 \ubd84\ud3ec<\/strong>: \uc774\uc0b0 \ubd84\ud3ec\ub85c, \ud2b9\uc815 \uc2dc\uac04 \uac04\uaca9 \ub0b4\uc5d0\uc11c \ubc1c\uc0dd\ud558\ub294 \uc0ac\uac74\uc758 \uc218\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \ud3c9\uade0(\u03bb)\uacfc \ubd84\uc0b0\uc774 \ub3d9\uc77c\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n
    • \uc815\uaddc \ubd84\ud3ec<\/strong>: \uc5f0\uc18d \ubd84\ud3ec\ub85c, \ub370\uc774\ud130\uac00 \ud3c9\uade0 \uc8fc\ubcc0\uc5d0 \ub300\uce6d\uc801\uc73c\ub85c \ubd84\ud3ec\ud569\ub2c8\ub2e4. \ud3c9\uade0(\u03bc)\uacfc \ubd84\uc0b0(\u03c3\u00b2)\uc744 \uac00\uc9c0\uba70, \uc885 \ubaa8\uc591\uc758 \uace1\uc120\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n
      <\/span>\ud3ec\uc544\uc1a1 \ubd84\ud3ec vs \uc774\ud56d \ubd84\ud3ec<\/span><\/h3>\n\n\n\n
        \n
      • \ud3ec\uc544\uc1a1 \ubd84\ud3ec<\/strong>: \uc0ac\uac74\uc758 \ubc1c\uc0dd \ud655\ub960\uc774 \ub9e4\uc6b0 \uc791\uace0, \uc2dc\ub3c4 \ud69f\uc218\uac00 \ub9e4\uc6b0 \ub9ce\uc740 \uacbd\uc6b0 \uc774\ud56d \ubd84\ud3ec\uc758 \ud2b9\uc218\ud55c \uacbd\uc6b0\ub85c \uac04\uc8fc\ub429\ub2c8\ub2e4. \uc8fc\ub85c \uc0ac\uac74 \ubc1c\uc0dd \ud69f\uc218\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n
      • \uc774\ud56d \ubd84\ud3ec<\/strong>: \uc774\uc0b0 \ubd84\ud3ec\ub85c, n\ubc88\uc758 \ub3c5\ub9bd\uc801\uc778 \uc2dc\ud589 \uc911 \uc131\uacf5 \ud69f\uc218\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \uac01 \uc2dc\ud589\uc5d0\uc11c \uc131\uacf5 \ud655\ub960\uc774 \ub3d9\uc77c\ud55c \uacbd\uc6b0\uc5d0 \uc801\uc6a9\ub429\ub2c8\ub2e4. \ub9e4\uac1c\ubcc0\uc218\ub85c \uc2dc\ub3c4 \ud69f\uc218(n)\uc640 \uc131\uacf5 \ud655\ub960(p)\ub97c \uac00\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n
        <\/span>\ud3ec\uc544\uc1a1 \ubd84\ud3ec vs \uc9c0\uc218 \ubd84\ud3ec<\/span><\/h3>\n\n\n\n
          \n
        • \ud3ec\uc544\uc1a1 \ubd84\ud3ec<\/strong>: \uc774\uc0b0 \ubd84\ud3ec\ub85c, \ub2e8\uc704 \uc2dc\uac04\ub2f9 \uc0ac\uac74 \ubc1c\uc0dd \ud69f\uc218\ub97c \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n
        • \uc9c0\uc218 \ubd84\ud3ec<\/strong>: \uc5f0\uc18d \ubd84\ud3ec\ub85c, \uc0ac\uac74\uc774 \ubc1c\uc0dd\ud558\ub294 \uc2dc\uac04 \uac04\uaca9\uc744 \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \ud3ec\uc544\uc1a1 \ubd84\ud3ec\uc640 \uad00\ub828\uc774 \uc788\uc73c\uba70, \ud3ec\uc544\uc1a1 \uacfc\uc815\uc5d0\uc11c \uc0ac\uac74 \ubc1c\uc0dd \uac04\uaca9\uc758 \ubd84\ud3ec\ub97c \uc124\uba85\ud569\ub2c8\ub2e4. \ud3c9\uade0(\u03bb)\uc758 \uc5ed\uc218\ub97c \ub9e4\uac1c\ubcc0\uc218\ub85c \uac00\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n
          \ub2e4\uc74c\uc740 \uc774\ub7ec\ud55c \ubd84\ud3ec\ub97c \ube44\uad50\ud558\ub294 \uc608\uc81c \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n
          <\/span>Python \ucf54\ub4dc<\/span><\/h3>\n\n\n\n
          import numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy.stats import poisson, norm, binom, expon\n\n# \uc124\uc815\nmu_poisson = 3\nmu_normal = 0\nsigma_normal = 1\nn_binom = 10\np_binom = 0.3\nlambda_expon = 1\n\n# x \uac12 \uc0dd\uc131\nx_poisson = np.arange(0, 15)\nx_normal = np.linspace(-5, 5, 100)\nx_binom = np.arange(0, n_binom + 1)\nx_expon = np.linspace(0, 5, 100)\n\n# \ubd84\ud3ec \uacc4\uc0b0\ny_poisson = poisson.pmf(x_poisson, mu_poisson)\ny_normal = norm.pdf(x_normal, mu_normal, sigma_normal)\ny_binom = binom.pmf(x_binom, n_binom, p_binom)\ny_expon = expon.pdf(x_expon, scale=1\/lambda_expon)\n\n# \ud50c\ub86f \uc0dd\uc131\nfig, axs = plt.subplots(2, 2, figsize=(12, 10))\n\n# \ud3ec\uc544\uc1a1 \ubd84\ud3ec\naxs[0, 0].stem(x_poisson, y_poisson, use_line_collection=True)\naxs[0, 0].set_title('Poisson Distribution (mu = 3)')\naxs[0, 0].set_xlabel('Number of events')\naxs[0, 0].set_ylabel('Probability')\n\n# \uc815\uaddc \ubd84\ud3ec\naxs[0, 1].plot(x_normal, y_normal)\naxs[0, 1].set_title('Normal Distribution (mu = 0, sigma = 1)')\naxs[0, 1].set_xlabel('Value')\naxs[0, 1].set_ylabel('Probability Density')\n\n# \uc774\ud56d \ubd84\ud3ec\naxs[1, 0].stem(x_binom, y_binom, use_line_collection=True)\naxs[1, 0].set_title('Binomial Distribution (n = 10, p = 0.3)')\naxs[1, 0].set_xlabel('Number of successes')\naxs[1, 0].set_ylabel('Probability')\n\n# \uc9c0\uc218 \ubd84\ud3ec\naxs[1, 1].plot(x_expon, y_expon)\naxs[1, 1].set_title('Exponential Distribution (lambda = 1)')\naxs[1, 1].set_xlabel('Time')\naxs[1, 1].set_ylabel('Probability Density')\n\nplt.tight_layout()\nplt.show()<\/code><\/pre>\n\n\n\n
          \uc774 \ucf54\ub4dc\ub294 \ud3ec\uc544\uc1a1, \uc815\uaddc, \uc774\ud56d, \uc9c0\uc218 \ubd84\ud3ec\ub97c \ube44\uad50\ud558\ub294 \uadf8\ub798\ud504\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uac01 \ubd84\ud3ec\uc758 \ud2b9\uc131\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n\n\n\n
          <\/p>\n\n\n\n
          <\/p>\n\n\n\n
          \ud3ec\uc544\uc1a1 \ubd84\ud3ec\uc758 \uc2e4\uc81c \uc0ac\ub840<\/strong><\/p>\n\n\n\n
          \ucf5c\uc13c\ud130 \uc804\ud654 \uc218\uc2e0<\/strong>: 
          \ucf5c\uc13c\ud130\uc5d0\uc11c \ub9e4 \uc2dc\uac04\ub2f9 \uc218\uc2e0\ud558\ub294 \uc804\ud654 \ud1b5\ud654 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud558\ub8e8 \ub3d9\uc548 \uc77c\uc815\ud55c \ud3c9\uade0 \uc804\ud654 \uc218\uac00 \uc788\uc744 \ub54c, \ud2b9\uc815 \uc2dc\uac04\uc5d0 \uc218\uc2e0\ud558\ub294 \uc804\ud654 \ud1b5\ud654 \uc218\uac00 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uac00\ub2a5\uc131\uc774 \ud07d\ub2c8\ub2e4.<\/p>\n\n\n\n
          \uc6f9\uc0ac\uc774\ud2b8 \ubc29\ubb38\uc790 \uc218<\/strong>: 
          \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548 \uc6f9\uc0ac\uc774\ud2b8\ub97c \ubc29\ubb38\ud558\ub294 \ubc29\ubb38\uc790 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud55c \uc2dc\uac04 \ub3d9\uc548 \ud2b9\uc815 \uc6f9\uc0ac\uc774\ud2b8\uc5d0 \uc811\uc18d\ud558\ub294 \ubc29\ubb38\uc790 \uc218\uac00 \ud3c9\uade0\uc801\uc73c\ub85c \uc77c\uc815\ud558\ub2e4\uba74, \uadf8 \uc2dc\uac04 \ub3d9\uc548\uc758 \ubc29\ubb38\uc790 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n
          \uacf5\ud56d\uc5d0\uc11c \ube44\ud589\uae30 \ucc29\ub959 \ud69f\uc218<\/strong>: 
          \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548 \uacf5\ud56d\uc5d0 \ucc29\ub959\ud558\ub294 \ube44\ud589\uae30\uc758 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud3c9\uade0\uc801\uc73c\ub85c \uc2dc\uac04\ub2f9 \ucc29\ub959\ud558\ub294 \ube44\ud589\uae30 \uc218\uac00 \uc77c\uc815\ud558\ub2e4\uba74, \ud2b9\uc815 \uc2dc\uac04\uc5d0 \ucc29\ub959\ud558\ub294 \ube44\ud589\uae30 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uac00\ub2a5\uc131\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n
          \ubcd1\uc6d0 \uc751\uae09\uc2e4 \ubc29\ubb38\uc790 \uc218<\/strong>: \uc751\uae09\uc2e4\uc5d0 \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548 \ubc29\ubb38\ud558\ub294 \ud658\uc790 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud3c9\uade0\uc801\uc73c\ub85c \uc2dc\uac04\ub2f9 \ubc29\ubb38\ud558\ub294 \ud658\uc790 \uc218\uac00 \uc77c\uc815\ud558\ub2e4\uba74, \ud2b9\uc815 \uc2dc\uac04\uc5d0 \uc751\uae09\uc2e4\uc5d0 \uc624\ub294 \ud658\uc790 \uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n
          \ub3c4\ub85c\uc5d0\uc11c \uad50\ud1b5\uc0ac\uace0 \ubc1c\uc0dd \ud69f\uc218<\/strong>: 
          \ud2b9\uc815 \uad6c\uac04\uc758 \ub3c4\ub85c\uc5d0\uc11c \uc77c\uc815 \uc2dc\uac04 \ub3d9\uc548 \ubc1c\uc0dd\ud558\ub294 \uad50\ud1b5\uc0ac\uace0 \ud69f\uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud3c9\uade0\uc801\uc73c\ub85c \uc2dc\uac04\ub2f9 \ubc1c\uc0dd\ud558\ub294 \uc0ac\uace0 \uc218\uac00 \uc77c\uc815\ud558\ub2e4\uba74, \ud2b9\uc815 \uc2dc\uac04 \ub3d9\uc548\uc758 \uc0ac\uace0 \ubc1c\uc0dd \ud69f\uc218\ub294 \ud3ec\uc544\uc1a1 \ubd84\ud3ec\ub97c \ub530\ub97c \uac00\ub2a5\uc131\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"
          \ud3ec\uc544\uc1a1 \ubd84\ud3ec(Poisson distribution)\ub294 \uc77c\uc815\ud55c \uc2dc\uac04 \ub3d9\uc548 \ubc1c\uc0dd\ud558\ub294 \uc0ac\uac74\uc758 \uc218\ub97c \ubaa8\ub378\ub9c1\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ud655\ub960 \ubd84\ud3ec\ub85c\uc11c \ub3c5\ub9bd\uc801\uc774\uace0, \uc0ac\uac74 \ubc1c\uc0dd\uc728\uc774 \uc77c\uc815\ud55c…<\/p>\n","protected":false},"author":1,"featured_media":579,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-576","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stat","wpcat-6-id"],"_links":{"self":[{"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=576"}],"version-history":[{"count":5,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/576\/revisions"}],"predecessor-version":[{"id":588,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/576\/revisions\/588"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=\/wp\/v2\/media\/579"}],"wp:attachment":[{"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=576"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.inmining.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}