ayr-ton · October 26, 2019 00:21
diff --git a/harmonia.ipynb b/harmonia.ipynb
 {
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Harmonia.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/ayr-ton/2d3ef5bdd701f5381802003a922a8e96/harmonia.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oMBPO7TBKsUg",
        "colab_type": "text"
      },
      "source": [
        "# Harmonia Musical e Kanban\n",
        "A harmonia entre duas notas pode ser facilmente explicada pela razão entre as suas frequências\n",
        "\n",
        "[O Que Torna Duas Notas Harmônicas? - YouTube](https://www.youtube.com/watch?v=Pd5hBbzs-_Y&t=206s)\n",
        "\n",
        "## Afinação pitagórica\n",
        "\n",
        "| | |              \n",
        "| :------------- | :----------: \n",
        "| 2:1 | Oitava perfeita (harmônico)   | \n",
        "| 3:2  | Quinta justa (quinta perfeita) | \n",
        "| 4:3 | Quarta justa (quarta perfeita) |\n",
        "\n",
        "Quanto maior for o denominador da fração, maior é a complexidade daquele número. Quanto maior for a complexidade desse número, menor será a harmonia do acorde.\n",
        "\n",
        "## Métricas do Kanban\n",
        "A gente precisa do similar a duas notas pra comparar, ou seja duas frequências da mesma natureza.\n",
        "\n",
        "Lead time por Lead time \n",
        "Cycle time por Cycle time\n",
        "WIP em diferentes etapas por outras etapas\n",
        "\n",
        "E assim por diante.\n",
        "\n",
        "Num histograma ou num CFD a gente consegue ter uma noção melhor dessas proporções."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "66uI89jHLZ96",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xwn3T8pAOR4R",
        "colab_type": "code",
        "outputId": "39a39163-4cae-4097-8850-bd412d98bbce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        }
      },
      "source": [
        "## Histograma - Oitava Perfeita (Harmônico)\n",
        "\n",
        "harmônico = np.random.rand(35)*2.0\n",
        "\n",
        "plt.subplot(1, 2, 1) \n",
        "plt.hist(harmônico)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAALUAAAD4CAYAAACqlacbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncNSWjqO2dBy1peOoLR1Hbek4akvn/w1Xhb4+xMlLAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UOikFJZMMFJW",
        "colab_type": "code",
        "outputId": "37d765b4-64a1-47da-bf21-e95e188422dd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        }
      },
      "source": [
        "## Histograma - Quinta justa (Quinta Perfeita)\n",
        "\n",
        "quinta_perfeita = np.random.rand(35)*1.5\n",
        "\n",
        "plt.subplot(1, 2, 1) \n",
        "plt.hist(quinta_perfeita)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAALMAAAD4CAYAAACni9dcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZyBsuOM0OsO1",
        "colab_type": "code",
        "outputId": "a0fb4ac3-497c-4505-ec94-be3b70271771",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        }
      },
      "source": [
        "## Histograma - Quarta Justa (Quarta Perfeita)\n",
        "\n",
        "quarta_perfeita = np.random.rand(35)*1.3\n",
        "\n",
        "plt.subplot(1, 2, 1) \n",
        "plt.hist(quarta_perfeita)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAALMAAAD4CAYAAACni9dcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AKk4yzQ9RI52",
        "colab_type": "text"
      },
      "source": [
        "## Hipóteses\n",
        "\n",
        "- As pessoas vão sentir um grau alto de prazer(?) num sistema com essas frequências de entrega, pela nossa preferência cognitiva cerebral em perceber harmonias em padrões com denominadores pequenos.\n",
        "- Ítens únicos só vão ser percebidos em caso de cacofonia (caso o denominador da proporção entre as frequências seja muito alto, isso não significa necessariamente demora na entrega)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tSMYOn8QR2Zi",
        "colab_type": "text"
      },
      "source": [
        "## Inspiração\n",
        "\n",
        "Duas garrafas de vinho, discussões sobre cosmologia e teoria musical entre Ayrton Araújo, Rapha Chewie e Luiz Lula "
      ]
    }
  ]
 }
	{
	"nbformat": 4,
	"nbformat_minor": 0,
	"metadata": {
	"colab": {
	"name": "Harmonia.ipynb",
	"provenance": [],
	"collapsed_sections": [],
	"include_colab_link": true
	},
	"kernelspec": {
	"name": "python3",
	"display_name": "Python 3"
	}
	},
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {
	"id": "view-in-github",
	"colab_type": "text"
	},
	"source": [
	"<a href=\"https://colab.research.google.com/gist/ayr-ton/2d3ef5bdd701f5381802003a922a8e96/harmonia.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {
	"id": "oMBPO7TBKsUg",
	"colab_type": "text"
	},
	"source": [
	"# Harmonia Musical e Kanban\n",
	"A harmonia entre duas notas pode ser facilmente explicada pela razão entre as suas frequências\n",
	"\n",
	"[O Que Torna Duas Notas Harmônicas? - YouTube](https://www.youtube.com/watch?v=Pd5hBbzs-_Y&t=206s)\n",
	"\n",
	"## Afinação pitagórica\n",
	"\n",
	"\| \| \| \n",
	"\| :------------- \| :----------: \n",
	"\| 2:1 \| Oitava perfeita (harmônico) \| \n",
	"\| 3:2 \| Quinta justa (quinta perfeita) \| \n",
	"\| 4:3 \| Quarta justa (quarta perfeita) \|\n",
	"\n",
	"Quanto maior for o denominador da fração, maior é a complexidade daquele número. Quanto maior for a complexidade desse número, menor será a harmonia do acorde.\n",
	"\n",
	"## Métricas do Kanban\n",
	"A gente precisa do similar a duas notas pra comparar, ou seja duas frequências da mesma natureza.\n",
	"\n",
	"Lead time por Lead time \n",
	"Cycle time por Cycle time\n",
	"WIP em diferentes etapas por outras etapas\n",
	"\n",
	"E assim por diante.\n",
	"\n",
	"Num histograma ou num CFD a gente consegue ter uma noção melhor dessas proporções."
	]
	},
	{
	"cell_type": "code",
	"metadata": {
	"id": "66uI89jHLZ96",
	"colab_type": "code",
	"colab": {}
	},
	"source": [
	"%matplotlib inline\n",
	"import matplotlib.pyplot as plt\n",
	"import numpy as np"
	],
	"execution_count": 0,
	"outputs": []
	},
	{
	"cell_type": "code",
	"metadata": {
	"id": "Xwn3T8pAOR4R",
	"colab_type": "code",
	"outputId": "39a39163-4cae-4097-8850-bd412d98bbce",
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 265
	}
	},
	"source": [
	"## Histograma - Oitava Perfeita (Harmônico)\n",
	"\n",
	"harmônico = np.random.rand(35)*2.0\n",
	"\n",
	"plt.subplot(1, 2, 1) \n",
	"plt.hist(harmônico)\n",
	"plt.show()"
	],
	"execution_count": 0,
	"outputs": [
	{
	"output_type": "display_data",
	"data": {
	"image/png": "iVBORw0KGgoAAAANSUhEUgAAALUAAAD4CAYAAACqlacbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncNSWjqO2dBy1peOoLR1Hbek4akvn/w1Xhb4+xMlLAAAAAElFTkSuQmCC\n",
	"text/plain": [
	"<Figure size 432x288 with 1 Axes>"
	]
	},
	"metadata": {
	"tags": []
	}
	}
	]
	},
	{
	"cell_type": "code",
	"metadata": {
	"id": "UOikFJZMMFJW",
	"colab_type": "code",
	"outputId": "37d765b4-64a1-47da-bf21-e95e188422dd",
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 265
	}
	},
	"source": [
	"## Histograma - Quinta justa (Quinta Perfeita)\n",
	"\n",
	"quinta_perfeita = np.random.rand(35)*1.5\n",
	"\n",
	"plt.subplot(1, 2, 1) \n",
	"plt.hist(quinta_perfeita)\n",
	"plt.show()"
	],
	"execution_count": 0,
	"outputs": [
	{
	"output_type": "display_data",
	"data": {
	"image/png": "iVBORw0KGgoAAAANSUhEUgAAALMAAAD4CAYAAACni9dcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
	"text/plain": [
	"<Figure size 432x288 with 1 Axes>"
	]
	},
	"metadata": {
	"tags": []
	}
	}
	]
	},
	{
	"cell_type": "code",
	"metadata": {
	"id": "ZyBsuOM0OsO1",
	"colab_type": "code",
	"outputId": "a0fb4ac3-497c-4505-ec94-be3b70271771",
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 265
	}
	},
	"source": [
	"## Histograma - Quarta Justa (Quarta Perfeita)\n",
	"\n",
	"quarta_perfeita = np.random.rand(35)*1.3\n",
	"\n",
	"plt.subplot(1, 2, 1) \n",
	"plt.hist(quarta_perfeita)\n",
	"plt.show()"
	],
	"execution_count": 0,
	"outputs": [
	{
	"output_type": "display_data",
	"data": {
	"image/png": "iVBORw0KGgoAAAANSUhEUgAAALMAAAD4CAYAAACni9dcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
	"text/plain": [
	"<Figure size 432x288 with 1 Axes>"
	]
	},
	"metadata": {
	"tags": []
	}
	}
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {
	"id": "AKk4yzQ9RI52",
	"colab_type": "text"
	},
	"source": [
	"## Hipóteses\n",
	"\n",
	"- As pessoas vão sentir um grau alto de prazer(?) num sistema com essas frequências de entrega, pela nossa preferência cognitiva cerebral em perceber harmonias em padrões com denominadores pequenos.\n",
	"- Ítens únicos só vão ser percebidos em caso de cacofonia (caso o denominador da proporção entre as frequências seja muito alto, isso não significa necessariamente demora na entrega)"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {
	"id": "tSMYOn8QR2Zi",
	"colab_type": "text"
	},
	"source": [
	"## Inspiração\n",
	"\n",
	"Duas garrafas de vinho, discussões sobre cosmologia e teoria musical entre Ayrton Araújo, Rapha Chewie e Luiz Lula "
	]
	}
	]
	}