{"cells":[{"cell_type":"markdown","source":"# Scatterplot","metadata":{"id":"t2qVgqaTY6gn","cell_id":"4df0fa7e0eb2488a84457607fb63ae33","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport pandas as pd\nimport seaborn as sns\n# Omitir warnings\nimport warnings\nwarnings.filterwarnings('ignore')\n# tamaño de figura\nfig = plt.figure(figsize=(12, 8))\n# Lectura de csv\ndf = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/datasets/mtcars.csv')\n# Grafico\nax = sns.regplot(x=\"wt\", y=\"mpg\", data=df)\nax.set(xlabel='MPG', ylabel='WT')\nplt.title('Peso vs mpg')","metadata":{"id":"8Gc9RicpXQ-M","colab":{"height":530,"base_uri":"https://localhost:8080/"},"cell_id":"dbcc821c208444d6b9e30ee223d577dc","outputId":"9151612f-0b30-464a-e361-fef08142a213","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":838,"user_tz":300,"timestamp":1646857890905},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Peso vs mpg')"},"metadata":{},"execution_count":3},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure size 864x576 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":3},{"cell_type":"markdown","source":"# Histograma","metadata":{"id":"Km-_Xn2dYVYh","cell_id":"26a8091e59d249a8b4bffe3dc06830ca","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\nimport seaborn as sns\ndf = pd.read_csv('https://raw.githubusercontent.com/marsja/jupyter/master/flanks.csv', \n                 index_col=0)\n# Grafico\nfig = plt.figure(figsize=(12, 8))\nfor condition in df.TrialType.unique():\n    cond_data = df[(df.TrialType == condition)]\n    ax = sns.distplot(cond_data.RT, kde=False, label=condition)\nax.set(xlabel='Tiempo de respuesta', ylabel='Frecuencia')\nax.legend()\nax.set_title('Histogramas Tiempo de respuesta')","metadata":{"id":"GbLzee_jYWg5","colab":{"height":530,"base_uri":"https://localhost:8080/"},"cell_id":"f86a2de1e23d42d6b27f2f9eaaa9e252","outputId":"accb780e-4b88-40d7-8473-ed24eea3666d","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":490,"user_tz":300,"timestamp":1646858480453},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Histogramas Tiempo de respuesta')"},"metadata":{},"execution_count":21},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure size 864x576 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":21},{"cell_type":"markdown","source":"# Barplot","metadata":{"id":"8o6bOSU6Y9o7","cell_id":"6156e02d249a418eaa0ae2d7c6c7cc84","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\nimport seaborn as sns\n# Leer el archivo\ndf = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/datasets/mtcars.csv', index_col=0)\n# Hacer la agrupacion\ndf_grpd = df.groupby(\"cyl\").count().reset_index()\n# Grafico\nfig = plt.figure(figsize=(12, 8))\nsns.barplot(x=\"cyl\", y=\"mpg\", data=df_grpd)\nax.set(xlabel='Cylinders', ylabel='Number of Cars for Each Cylinder')","metadata":{"id":"M_S8cRjqX8-8","colab":{"height":532,"base_uri":"https://localhost:8080/"},"cell_id":"b9749d5b079c443c92602f7542a449ad","outputId":"9b1fbffa-7ea8-40c6-9236-6d764a272860","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":863,"user_tz":300,"timestamp":1646858374403},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"[Text(17.200000000000003, 0.5, 'Number of Cars for Each Cylinder'),\n Text(0.5, 17.200000000000003, 'Cylinders')]"},"metadata":{},"execution_count":17},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure size 864x576 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":17},{"cell_type":"markdown","source":"# Series de tiempo","metadata":{"id":"x0p6bDYIaLI5","cell_id":"9d999cef2ba743108b19d2648e8135f6","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\nimport seaborn as sns\n\ndf = pd.read_csv(\"https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-02-26/full_trains.csv\")\n\nplt.figure(figsize=(12, 8))\nsns.lineplot(x=\"month\", y=\"total_num_trips\", hue=\"departure_station\", \n             ci=None, data=df[df.departure_station.str.contains('PARIS')])\nplt.xlabel('Mes')\nplt.ylabel('Numer de viajes')\nplt.title('Viajes por mes')","metadata":{"id":"pn8e_aMKaMTH","colab":{"height":530,"base_uri":"https://localhost:8080/"},"cell_id":"fe13e90428f2416a8e122d036625ebe2","outputId":"3a65d8c7-690c-4aca-9765-802987c2205e","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":868,"user_tz":300,"timestamp":1646858573401},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Viajes por mes')"},"metadata":{},"execution_count":26},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure size 864x576 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":26},{"cell_type":"markdown","source":"# Boxplot","metadata":{"id":"5mIWphs2a7cN","cell_id":"e23b8c930b444cbb9ab0b336eb6fd682","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\nimport seaborn as sns\n\ndf = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/datasets/mtcars.csv', index_col=0)\n\nfig = plt.figure(figsize=(12, 8))\nsns.boxplot(x=\"vs\", y='wt', data=df)\nplt.title('Vs vs WT')","metadata":{"id":"PVWgLfINa8YV","colab":{"height":530,"base_uri":"https://localhost:8080/"},"cell_id":"af7496f49477497c9f9f574c05071ed0","outputId":"0280bfa9-5b3a-4988-9309-675ab7cd0d37","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":753,"user_tz":300,"timestamp":1646858629089},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Vs vs WT')"},"metadata":{},"execution_count":28},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAtAAAAHwCAYAAACPE1g3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAdVElEQVR4nO3dfbCed13n8c+XpEB5Ek3Dg2lDdg2zrqA8GCsMwiJSJ2AtOyNqWaXF0e3CSIi7PozwByz8gevsjtoGV7YLrKmKwCKwhSmVItWWXaiblkIp7c6ewfKQRRpS7AOthbTf/ePcHY7HpM0vua/cJ+nrNXMm9/VwrvNNJz3znt9c93VXdwcAADg8D1n0AAAAcDwR0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENsABVdWlVvekg+19SVX9bVeuP8Tz/par+YMX2SVX1jUPse25V3TH7+kZV9YrtO6pq87GcHeBYE9AAi7E7yc9XVa3a//Ikf9LdB47xPFcked6K7W1Jvpjkuav2Jcknu/tR3f2oJE+Z7Xvsffu6+4vTjwuwOAIaYDE+kGRDVgRqVX1nkjOTXDTbfnFVfa6qbq+qvVX1a6svUlUPq6q/q6qnrti3saruqqrHVdUpVfWh2Tm3VNWVVXWw3/1XJPnnVXXKbPu5Sd6V5JGr9n2iu781h78/wHFLQAMsQHffleQ9Sc5ZsftnktzY3Z+ebb89yb/p7kcneWqSjx3kOncneV+Sl626zl91981JfjXJl5NsTPL4JK9L0ge5zpeSfCHfDvrnJbkyyf9ate+K0b8rwIlGQAMszu4kL62qh8+2z5ntu8+3knxfVT2mu7/e3dcc4jrvTHL2iu1/Ndt33zWemORJ3f2t7r6yu/9RQM/8VZLnzVaoT0/yySxH9H37njM7B+BBTUADLEh3fzzJ15L8y6r6nixH6ztXnPJTSV6c5AtV9VdV9exDXOryJI+oqh+uqi1Jnp7k/bNj/zHJUpKPVNXnq+o372ek++6D/v4kn+/uO5N8fMW+k5NcNfwXBTjB1KEXIgCYWlW9PsmzshymP9TdZx7knJOSvDrJv+vu0w5xnfOzfGvGV5M8vbt/9iDn3HcbyMu6+y8OcnxrkhuTvD7Jd3b3r8/e5PjVJL+X5EXd/dxV37Mlyd8kOWkBb3wEWAgr0ACLdVGSFyb511lx+0ZVPbSqfq6qvmP2pr3bktx7P9d5Z5KfTfJzWbGKXVVnVtXWWQjfmuSeQ12nu5eyHMs7s3zrRma3e1w12+f+Z4AIaICF6u6bsvxGvUcmuXjV4ZcnuamqbkvyyizH8aGuc1WSbyT57iQfXnHoyUk+muSOJJ9I8p+7+/L7GemKLL/h8H+u2HdlksdFQAMkcQsHAAAMsQINAAADBDQAAAwQ0AAAMEBAAwDAAAENAAAD1i96gFGnnHJKb9myZdFjAABwgrv66qu/1t0bV+8/7gJ6y5Yt2bNnz6LHAADgBFdVXzjYfrdwAADAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADJn2MXVXdlOT2JPckOdDd21Ydf36S/5Hkb2a73tfdb5pyJgAAOBrH4jnQP9rdX7uf41d295nHYA4AADhqbuEAAIABUwd0J/lIVV1dVecd4pxnV9Wnq+rDVfWUiecBAICjMvUtHD/S3Xur6nFJLquqG7v7ihXHr0nypO6+o6penOQDSZ68+iKz+D4vSTZv3jzxyAAAcGiTrkB3997ZnzcneX+S01cdv62775i9viTJSVV1ykGuc2F3b+vubRs3bpxyZAAAuF+TBXRVPbKqHn3f6yQ/nuSzq855QlXV7PXps3n2TzUTAAAcrSlv4Xh8kvfP+nh9knd296VV9cok6e63JnlpkldV1YEkdyU5u7t7wpkAAOCoTBbQ3f35JE87yP63rnj9liRvmWoGOJb279+fN77xjXnDG96QDRs2LHocAGAiHmMHc7J79+5cd911ueiiixY9CgAwIQENc7B///5ceuml6e5ceuml2b/frfwAcKIS0DAHu3fvzr333pskueeee6xCA8AJTEDDHHz0ox/NgQMHkiQHDhzIZZddtuCJAICpCGiYgxe+8IVZv375Pbnr16/PGWecseCJAICpCGiYg3PPPTcPecjy/07r1q3LOeecs+CJAICpCGiYgw0bNmT79u2pqmzfvt1j7ADgBCagYU7OOuusPOIRj8hP/uRPLnoUAGBCAhrm5OKLL86dd96ZD37wg4seBQCYkICGOfAcaAB48BDQMAeeAw0ADx4CGubAc6AB4MFDQMMceA40ADx4CGiYA8+BBoAHDwENc+A50ADw4LF+0QPAieLcc8/NTTfdZPUZAE5wVqABAGCAgIY52b17d6677jqPsAOAE5yAhjnwQSoA8OAhoGEOfJAKADx4CGiYAx+kAgAPHgIa5sAHqQDAg4eAhjnwQSoA8OAhoGEOfJAKADx4+CAVmBMfpAIADw4CGuZkw4YNueCCCxY9BgAwMbdwAADAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMGDSgK6qm6rquqq6tqr2HOR4VdUFVbVUVZ+pqmdOOQ8AAByt9cfgZ/xod3/tEMdelOTJs68fTvIHsz8BAGBNWvQtHC9JclEv+2SSx1bVExc8EwAAHNLUAd1JPlJVV1fVeQc5vinJl1Zsf3m2DwAA1qSpb+H4ke7eW1WPS3JZVd3Y3VeMXmQW3+clyebNm+c9IwAAHLZJV6C7e+/sz5uTvD/J6atO2ZvktBXbp872rb7Ohd29rbu3bdy4capxAQDgAU0W0FX1yKp69H2vk/x4ks+uOu3iJOfMnsbxrCS3dvdXppoJAACO1pS3cDw+yfur6r6f887uvrSqXpkk3f3WJJckeXGSpSR3JvmFCecBAICjNllAd/fnkzztIPvfuuJ1J/nlqWYAAIB5W/Rj7AAA4LgioAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABgweUBX1bqq+lRVfeggx15RVfuq6trZ1y9NPQ8AAByN9cfgZ+xMckOSxxzi+Lu7+9XHYA4AADhqk65AV9WpSX4iydum/DkAAHCsTH0Lx+8l+Y0k997POT9VVZ+pqvdW1WkTzwMAAEdlsoCuqjOT3NzdV9/PaR9MsqW7fyDJZUl2H+Ja51XVnqras2/fvgmmBQCAwzPlCvRzkpxVVTcleVeSF1TVH688obv3d/fds823JfnBg12ouy/s7m3dvW3jxo0TjgwAAPdvsoDu7td296ndvSXJ2Uk+1t0/v/Kcqnriis2zsvxmQwAAWLOOxVM4/oGqelOSPd19cZLXVNVZSQ4kuSXJK471PAAAMKK6e9EzDNm2bVvv2bNn0WMAAHCCq6qru3vb6v0+iRAAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGLB+0QNwfNu1a1eWlpYWPcaasHfv3iTJpk2bFjzJ2rB169bs2LFj0WMAwNwJaJiTu+66a9EjAADHgIDmqFhh/LadO3cmSc4///wFTwIATMk90AAAMGDygK6qdVX1qar60EGOPayq3l1VS1V1VVVtmXoeAAA4GsdiBXpnkhsOcewXk3y9u7cm+d0kv30M5gEAgCM2aUBX1alJfiLJ2w5xykuS7J69fm+SH6uqmnImAAA4GlOvQP9ekt9Icu8hjm9K8qUk6e4DSW5NsmHimQAA4IhNFtBVdWaSm7v76jlc67yq2lNVe/bt2zeH6QAA4MhMuQL9nCRnVdVNSd6V5AVV9cerztmb5LQkqar1Sb4jyf7VF+ruC7t7W3dv27hx44QjAwDA/ZssoLv7td19andvSXJ2ko9198+vOu3iJOfOXr90dk5PNRMAABytY/5BKlX1piR7uvviJG9P8kdVtZTkliyHNgAArFnHJKC7+y+T/OXs9etX7P/7JD99LGYAAIB58EmEAAAwQEADAMAAAQ0AAAMENAAADBDQAAAwQEADAMAAAQ0AAAMENAAADBDQAAAw4Jh/lPeJYNeuXVlaWlr0GKwx9/2b2Llz54InYa3ZunVrduzYsegxAJgTAX0ElpaWcu1nb8g9j/iuRY/CGvKQb3aS5OrPf3XBk7CWrLvzlkWPAMCcCegjdM8jvit3fe+LFz0GsMadfOMlix4BgDlzDzQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAwQ0AAAMEBAAwDAAAENAAADBDQAAAxYv+gBjkd79+7Nujtvzck3XrLoUYA1bt2d+7N374FFjwHAHFmBBgCAAVagj8CmTZvyt3evz13f++JFjwKscSffeEk2bXr8oscAYI6sQAMAwIDJArqqHl5Vf11Vn66q66vqjQc55xVVta+qrp19/dJU8wAAwDxMeQvH3Ule0N13VNVJST5eVR/u7k+uOu/d3f3qCecAAIC5mSygu7uT3DHbPGn21VP9PAAAOBYmvQe6qtZV1bVJbk5yWXdfdZDTfqqqPlNV762q06acBwAAjtZhBXRV/dHh7Futu+/p7qcnOTXJ6VX11FWnfDDJlu7+gSSXJdl9iJ9/XlXtqao9+/btO5yRAQBgEoe7Av2UlRtVtS7JDx7uD+nuv0tyeZLtq/bv7+67Z5tvO9Q1u/vC7t7W3ds2btx4uD8WAADm7n4DuqpeW1W3J/n+qrpt9nV7lm/JuPgBvndjVT129vrkJGckuXHVOU9csXlWkhuO4O8AAADHzP2+ibC7fyvJb1XVe5N8JMmV3X24kfvEJLtnq9UPSfKe7v5QVb0pyZ7uvjjJa6rqrCQHktyS5BVH+PcAgOPCrl27srS0tOgx1oS9e/cmWf6AMpKtW7dmx44dix6Dw3C4T+H4/STPTXJBVX1PkmuyHNPnH+obuvszSZ5xkP2vX/H6tUleOzQxAHBCuOuuuxY9AhyRwwro7r68qq5I8kNJfjTJK5M8NckhAxoA+MesMH7bzp07kyTnny8nOL4cVkBX1V8keWSSTyS5MskPdffNUw4GAABr0eE+heMzSb6Z5VXnH0jy1NkbAwEA4EHlcG/h+LdJUlWPzvIb/f5bkickedhkkwEAwBp0uLdwvDrLbyL8wSQ3JXlHlm/lAACAB5XDfQrHw5P8TpKru/vAhPMAAMCadri3cPynqQcBAIDjweG+iRAAAIiABgCAIQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAQIaAAAGCGgAABggoAEAYICABgCAAesXPcDxat2dt+TkGy9Z9BisIQ/5+9uSJPc+/DELnoS1ZN2dtyR5/KLHAGCOBPQR2Lp166JHYA1aWro9SbL1n4olVnq83xkAJxgBfQR27Nix6BFYg3bu3JkkOf/88xc8CQAwJQENwOR27dqVpaWlRY/BGnPfv4n7FiDgPlu3bl3TC5YCGoDJLS0t5f9e/6lsftQ9ix6FNeSh31p+lsHdX9iz4ElYS754x7pFj/CABDQAx8TmR92T1z3ztkWPAaxxb75m7b8Z32PsAABggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAZMFtBV9fCq+uuq+nRVXV9VbzzIOQ+rqndX1VJVXVVVW6aaBwAA5mHKFei7k7ygu5+W5OlJtlfVs1ad84tJvt7dW5P8bpLfnnAeAAA4apMFdC+7Y7Z50uyrV532kiS7Z6/fm+THqqqmmgkAAI7WpPdAV9W6qro2yc1JLuvuq1adsinJl5Kkuw8kuTXJhilnAgCAozFpQHf3Pd399CSnJjm9qp56JNepqvOqak9V7dm3b998hwQAgAHH5Ckc3f13SS5Psn3Vob1JTkuSqlqf5DuS7D/I91/Y3du6e9vGjRunHhcAAA5pyqdwbKyqx85en5zkjCQ3rjrt4iTnzl6/NMnHunv1fdIAALBmrJ/w2k9Msruq1mU51N/T3R+qqjcl2dPdFyd5e5I/qqqlJLckOXvCeQAA4KhNFtDd/ZkkzzjI/teveP33SX56qhkAAGDefBIhAAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAA9YvegCOb7t27crS0tKix1gT7vvvsHPnzgVPsjZs3bo1O3bsWPQYrBF79+7NN25flzdf85hFjwKscV+4fV0euXfvose4XwIa5uTkk09e9AgAwDEgoDkqVhiBw7Fp06bcfeAred0zb1v0KMAa9+ZrHpOHbdq06DHul3ugAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAZMFtBVdVpVXV5Vn6uq66vqH308W1U9v6puraprZ1+vn2oeAACYhyk/SOVAkl/t7muq6tFJrq6qy7r7c6vOu7K7z5xwDgAAmJvJVqC7+yvdfc3s9e1Jbkiytj9WBgAAHsAxuQe6qrYkeUaSqw5y+NlV9emq+nBVPeUQ339eVe2pqj379u2bcFIAALh/kwd0VT0qyZ8l+ZXuvm3V4WuSPKm7n5ZkV5IPHOwa3X1hd2/r7m0bN26cdmAAALgfkwZ0VZ2U5Xj+k+5+3+rj3X1bd98xe31JkpOq6pQpZwIAgKMx5VM4Ksnbk9zQ3b9ziHOeMDsvVXX6bJ79U80EAABHa8qncDwnycuTXFdV1872vS7J5iTp7rcmeWmSV1XVgSR3JTm7u3vCmQAA4KhMFtDd/fEk9QDnvCXJW6aaAQAA5s0nEQIAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAAADBAQAMAwAABDQAAAwQ0AAAMENAwJ/v3789rXvOa7N+/f9GjAAATEtAwJ7t37851112Xiy66aNGjAAATEtAwB/v378+ll16a7s6ll15qFRoATmACGuZg9+7duffee5Mk99xzj1VoADiBCWiYg49+9KM5cOBAkuTAgQO57LLLFjwRADAVAQ1z8MIXvjDr169Pkqxfvz5nnHHGgicCAKYioGEOzj333DzkIcv/O61bty7nnHPOgicCAKYioGEONmzYkO3bt6eqsn379mzYsGHRIwEAE1m/6AHgRHHuuefmpptusvoMACc4AQ1zsmHDhlxwwQWLHgMAmJhbOAAAYICABgCAAQIaAAAGCGgAABgwWUBX1WlVdXlVfa6qrq+qnQc5p6rqgqpaqqrPVNUzp5oHAADmYcqncBxI8qvdfU1VPTrJ1VV1WXd/bsU5L0ry5NnXDyf5g9mfAACwJk22At3dX+nua2avb09yQ5JNq057SZKLetknkzy2qp441UwAAHC0jslzoKtqS5JnJLlq1aFNSb60YvvLs31fORZzAXDsfPGOdXnzNY9Z9BisIV+9c3kd7/GPuHfBk7CWfPGOdXnyood4AJMHdFU9KsmfJfmV7r7tCK9xXpLzkmTz5s1znA6AY2Hr1q2LHoE16JtLS0mShz3Jvw++7clZ+78zJg3oqjopy/H8J939voOcsjfJaSu2T53t+we6+8IkFybJtm3beoJRAZjQjh07Fj0Ca9DOncvPFzj//PMXPAmMmfIpHJXk7Ulu6O7fOcRpFyc5Z/Y0jmclubW73b4BAMCaNeUK9HOSvDzJdVV17Wzf65JsTpLufmuSS5K8OMlSkjuT/MKE8wAAwFGbLKC7++NJ6gHO6SS/PNUMAAAwbz6JEAAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAECGgAABghoAAAYMFlAV9U7qurmqvrsIY4/v6puraprZ1+vn2oWAACYl/UTXvsPk7wlyUX3c86V3X3mhDMAwJqya9euLC0tLXqMNeG+/w47d+5c8CRrw9atW7Njx45Fj8FhmCygu/uKqtoy1fUBgOPbySefvOgR4IhMuQJ9OJ5dVZ9O8v+S/Fp3X3+wk6rqvCTnJcnmzZuP4XgAMF9WGOH4t8g3EV6T5End/bQku5J84FAndveF3b2tu7dt3LjxmA0IAACrLSygu/u27r5j9vqSJCdV1SmLmgcAAA7HwgK6qp5QVTV7ffpslv2LmgcAAA7HZPdAV9WfJnl+klOq6stJ3pDkpCTp7rcmeWmSV1XVgSR3JTm7u3uqeQAAYB6mfArHyx7g+Fuy/Jg7AAA4bvgkQgAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGCCgAQBggIAGAIABAhoAAAYIaAAAGFDdvegZhlTVviRfWPQccAinJPnaoocAOI74vcla9qTu3rh653EX0LCWVdWe7t626DkAjhd+b3I8cgsHAAAMENAAADBAQMN8XbjoAQCOM35vctxxDzQAAAywAg0AAAMENMxBVW2vqv9TVUtV9ZuLngdgrauqd1TVzVX12UXPAqMENBylqlqX5PeTvCjJ9yV5WVV932KnAljz/jDJ9kUPAUdCQMPROz3JUnd/vru/meRdSV6y4JkA1rTuviLJLYueA46EgIajtynJl1Zsf3m2DwA4AQloAAAYIKDh6O1NctqK7VNn+wCAE5CAhqP3v5M8uar+SVU9NMnZSS5e8EwAwEQENByl7j6Q5NVJ/jzJDUne093XL3YqgLWtqv40ySeS/LOq+nJV/eKiZ4LD5ZMIAQBggBVoAAAYIKABAGCAgAYAgAECGgAABghoAAAYIKABAGCAgAYAgAHrFz0AAPNVVf8hyZe6+/dn2/8+yT1JzkjymCz/7n9Vd1+5sCEBjmNWoAFOPO9O8jMrtn8my7/v/7y7n57kaUmuXcRgACcCK9AAJ5ju/lRVPa6qvjvJxiRfT3J5kndU1UlJPtDdAhrgCFmBBjgx/fckL03ys0ne3d1XJHlekr1J/rCqzlnkcADHs+ruRc8AwJxV1VOS/NckpyT5F0kemuTL3X1PVb06ydbu/pVFzghwvHILB8AJqLuvr6pHJ9nb3V+pqnOT/HpVfSvJHUmsQAMcISvQAAAwwD3QAAAwQEADAMAAAQ0AAAMENAAADBDQAAAwQEADAMAAAQ0AAAMENAAADPj/ZmqK04ZcKHsAAAAASUVORK5CYII=\n","text/plain":"<Figure size 864x576 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":28},{"cell_type":"markdown","source":"# Raincloud plot","metadata":{"id":"aeroHgX9bqlO","cell_id":"a26571b83df94cd7acbc2cb626364c16","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"!pip install ptitprince","metadata":{"id":"Jz2V_4OabtuS","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"350beb6e5c0d466e8cb90f6b8fe6dac7","outputId":"56480755-6589-42ed-8f01-9af59d493a7a","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":6540,"user_tz":300,"timestamp":1646858801534},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Collecting ptitprince\n  Downloading ptitprince-0.2.5.tar.gz (9.2 kB)\nRequirement already satisfied: seaborn>=0.10 in /usr/local/lib/python3.7/dist-packages (from ptitprince) (0.11.2)\nRequirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from ptitprince) (3.2.2)\nRequirement already satisfied: numpy>=1.13 in /usr/local/lib/python3.7/dist-packages (from ptitprince) (1.21.5)\nRequirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from ptitprince) (1.4.1)\nCollecting PyHamcrest>=1.9.0\n  Downloading PyHamcrest-2.0.3-py3-none-any.whl (51 kB)\n\u001b[K     |████████████████████████████████| 51 kB 459 kB/s \n\u001b[?25hRequirement already satisfied: cython in /usr/local/lib/python3.7/dist-packages (from ptitprince) (0.29.28)\nRequirement already satisfied: pandas>=0.23 in /usr/local/lib/python3.7/dist-packages (from seaborn>=0.10->ptitprince) (1.3.5)\nRequirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->ptitprince) (0.11.0)\nRequirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->ptitprince) (3.0.7)\nRequirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->ptitprince) (2.8.2)\nRequirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->ptitprince) (1.3.2)\nRequirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.23->seaborn>=0.10->ptitprince) (2018.9)\nRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib->ptitprince) (1.15.0)\nBuilding wheels for collected packages: ptitprince\n  Building wheel for ptitprince (setup.py) ... \u001b[?25l\u001b[?25hdone\n  Created wheel for ptitprince: filename=ptitprince-0.2.5-py3-none-any.whl size=8426 sha256=a5be4611e2596b33121e90b49be17a33416c7664bbefdb47badc956f2687d23f\n  Stored in directory: /root/.cache/pip/wheels/58/a5/f2/55920bbc5d0e6fb74b2370e1e52e07c236ba7b621236ea5a81\nSuccessfully built ptitprince\nInstalling collected packages: PyHamcrest, ptitprince\nSuccessfully installed PyHamcrest-2.0.3 ptitprince-0.2.5\n"}],"execution_count":30},{"cell_type":"code","source":"import pandas as pd\nimport ptitprince as pt\n\ndf = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/datasets/iris.csv')\n\nax = pt.RainCloud(x = 'Species', y = 'Sepal.Length', \n                  data = df, \n                  width_viol = .8,\n                  width_box = .4,\n                  orient = 'h',\n                  move = .0)","metadata":{"id":"_Opd1ostbr8N","colab":{"height":279,"base_uri":"https://localhost:8080/"},"cell_id":"2ae5c9eb0cff47b8849c5c9fb520a73f","outputId":"ca8e4814-77cd-4af7-d417-7816b02a2bbf","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1438,"user_tz":300,"timestamp":1646858816036},"deepnote_cell_type":"code"},"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure 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> </img>\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>","metadata":{"created_in_deepnote_cell":true,"deepnote_cell_type":"markdown"}}],"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Clase 10- Introduccion a la visualizacion de datos.ipynb","provenance":[],"authorship_tag":"ABX9TyNvkAEgmmWvEJHW7gh3c9/h","collapsed_sections":[]},"deepnote":{},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"deepnote_notebook_id":"0164bc74c6ca49b09239b410cea95532","deepnote_execution_queue":[]}}