From a014ef708113e1d5b5d95fd619f8faa1bbfbe2f8 Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 14:00:22 +0400 Subject: [PATCH] lab 1 end --- lab1/{Сваггер.png => image.png} | Bin lab1/lab1.ipynb | 33 ++++++++++++------------- lab1/requirements.txt | Bin 1142 -> 0 bytes 3 files changed, 16 insertions(+), 17 deletions(-) rename lab1/{Сваггер.png => image.png} (100%) delete mode 100644 lab1/requirements.txt diff --git a/lab1/Сваггер.png b/lab1/image.png similarity index 100% rename from lab1/Сваггер.png rename to lab1/image.png diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb index 06cd5df..40bf4aa 100644 --- a/lab1/lab1.ipynb +++ b/lab1/lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -80,29 +80,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Данная гистограмма отображает распределение значений года рождения среди клиентов. На оси X указаны годы рождения, разбитые на 100 интервалов, чтобы отобразить каждый год с большей детализацией. На оси Y показано количество записей (частота) для каждого года. Анализируя гистограмму по столбцу \"Year_Birth\", можно сделать выводы о возрастной структуре клиентов. Например, можно увидеть, что большинство клиентов родились между 1950 и 1980 годами, а количество рождений до 1940 года и после 1980 года значительно ниже." + "Данная столбчатая диаграмма отображает распределение количества клиентов по годам их рождения. На оси X указаны конкретные годы рождения, а на оси Y — количество клиентов, родившихся в соответствующем году. Анализируя диаграмму, можно сделать выводы о возрастной структуре клиентской базы. Видно, что пик рождаемости среди клиентов приходится на период с 1950 по 1980 годы, что может указывать на преобладание клиентов среднего возраста." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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dO5SQkNCgtQIAgObBo2d7zZw5U3379tXTTz+tO++8U1988YVWrlyplStXSpJsNptmzJihJ598Up06dVJcXJzmzZun6OhojRgxwpOlAwCAJsqj4eemm27Spk2bNGfOHC1YsEBxcXFKS0vT2LFj7W1mzZql0tJSTZ48WadPn1b//v2VkZGhFi1aeLByAADQVHk0/EjSHXfcoTvuuOOS+202mxYsWKAFCxY0YFUAAKC58vjtLQAAABoS4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAozh1V/cjR47o6quvdnUtAGCs2NnvOzw/9kyShyoBmj+nZn46duyoW2+9VX//+99VVlbm6poAAADcxqnws2fPHl1//fVKSUlRZGSkpkyZoi+++MLVtQEAALicU+Hnxhtv1EsvvaT8/HytXr1aBQUF6t+/v+Lj47V48WL98MMPrq4TAADAJa5owbOPj49GjRqlDRs2aNGiRTp06JAeeeQRxcTEaNy4cSooKHBVnQAAAC5xReFn165devDBBxUVFaXFixfrkUce0eHDh7Vlyxbl5+dr+PDhrqoTAADAJZw622vx4sVKT09Xbm6ubr/9dq1bt0633367vLwuZKm4uDitWbNGsbGxrqwVAADgijkVfpYtW6b77rtPEyZMUFRUVJ1twsPD9dprr11RcQAAAK7mVPg5ePDgb7bx8/PT+PHjnekeAFAHrgXUMBjn5s+pNT/p6enasGFDre0bNmzQ2rVrr7goAAAAd3Eq/KSmpuqqq66qtT08PFxPP/30FRcFAADgLk6Fn7y8PMXFxdXa3qFDB+Xl5V1xUQAAAO7i1Jqf8PBwffnll7XO5tq3b5/CwsJcURcANHoXrw2RWB/S2NX1ZwbzODXzM2bMGE2bNk1ZWVmqqqpSVVWVtm7dqunTp+vuu+92dY0AAAAu49TMz8KFC3Xs2DENGjRIPj4Xuqiurta4ceNY8wMAABo1p8KPn5+f3nzzTS1cuFD79u1TQECAunfvrg4dOri6PgAAAJdyKvzUuPbaa3Xttde6qhYAQD00tjVHrKdBU+FU+KmqqtKaNWuUmZmpkydPqrq62mH/1q1bXVIcAACAqzkVfqZPn641a9YoKSlJ8fHxstlsrq4LAADALZwKP+vXr9dbb72l22+/3dX1AAAAuJXTC547duzo6loAoNlpbOtynNVc3gcgOXmdn4cfflgvvfSSLMtydT0AAABu5dTMz6effqqsrCx98MEH6tatm3x9fR32b9y40SXFAQAAuJpT4Sc0NFQjR450dS0AYAR3nhLO6ebAb3Mq/KSnp7u6DgAAgAbh1JofSTp//rw++ugjrVixQmfOnJEk5efn6+zZsy4rDgAAwNWcmvk5fvy4hg4dqry8PJWXl+vf/u3fFBQUpEWLFqm8vFzLly93dZ0AAAAu4dTMz/Tp09W7d2/9/PPPCggIsG8fOXKkMjMzXVYcAACAqzk18/PJJ5/os88+k5+fn8P22NhYff/99y4pDAAAwB2cmvmprq5WVVVVre3fffedgoKCrrgoAAAAd3Eq/AwePFhpaWn25zabTWfPntVjjz3GLS8AAECj5tTPXi+88IKGDBmi6667TmVlZbrnnnt08OBBXXXVVfrHP/7h6hoBAABcxqnw065dO+3bt0/r16/Xl19+qbNnz2rSpEkaO3aswwJoAACAxsap8CNJPj4+uvfee11ZCwAAgNs5FX7WrVv3q/vHjRvnVDEAAADu5lT4mT59usPzyspKnTt3Tn5+fgoMDCT8AACARsups71+/vlnh8fZs2eVm5ur/v37s+AZAAA0ak7f2+tinTp10jPPPFNrVggAAKAxcVn4kS4sgs7Pz3dllwAAAC7l1JqfzZs3Ozy3LEsFBQV65ZVX1K9fP5cUBgBwj9jZ7zs8P/ZMkocqaT4uHlOJcW3MnAo/I0aMcHhus9nUtm1bDRw4UC+88IIr6gIAAHALp8JPdXW1q+sAAABoEC5d8wMAANDYOTXzk5KSctltFy9e7MwhAACNXF3rXICmwKnwk5OTo5ycHFVWVqpz586SpAMHDsjb21s9e/a0t7PZbK6pEgAAwEWcCj/Dhg1TUFCQ1q5dq9atW0u6cOHDiRMn6uabb9bDDz/s0iIBAABcxak1Py+88IJSU1PtwUeSWrdurSeffJKzvQAAQKPm1MxPSUmJfvjhh1rbf/jhB505c+aKiwKAxqgh17iwngZwH6dmfkaOHKmJEydq48aN+u677/Tdd9/p7bff1qRJkzRq1ChX1wgAAOAyTs38LF++XI888ojuueceVVZWXujIx0eTJk3Sc88959ICAQAAXMmp8BMYGKhXX31Vzz33nA4fPixJuuaaa9SyZUuXFgcAAOBqToWfGgUFBSooKNAtt9yigIAAWZbF6e0A0MSwvsg9nLmHGvcIaxhOrfn56aefNGjQIF177bW6/fbbVVBQIEmaNGkSp7kDAIBGzanwM3PmTPn6+iovL0+BgYH27XfddZcyMjJcVhwAAICrOfWz13//93/rww8/VLt27Ry2d+rUScePH3dJYQAAAO7g1MxPaWmpw4xPjVOnTsnf39+pQp555hnZbDbNmDHDvq2srEzJyckKCwtTq1atNHr0aBUVFTnVPwAAgORk+Ln55pu1bt06+3Obzabq6mo9++yzuvXWW+vd386dO7VixQpdf/31Dttnzpypd999Vxs2bND27duVn5/PdYQAAMAVcepnr2effVaDBg3Srl27VFFRoVmzZunrr7/WqVOn9K9//atefZ09e1Zjx47VqlWr9OSTT9q3FxcX67XXXtMbb7yhgQMHSpLS09PVtWtXff755/rDH/7gTOkAAMBwTs38xMfH68CBA+rfv7+GDx+u0tJSjRo1Sjk5Obrmmmvq1VdycrKSkpKUmJjosH337t2qrKx02N6lSxe1b99e2dnZl+yvvLxcJSUlDg8AAIAa9Z75qays1NChQ7V8+XL953/+5xUdfP369dqzZ4927txZa19hYaH8/PwUGhrqsD0iIkKFhYWX7DM1NVVPPPHEFdUFAACar3rP/Pj6+urLL7+84gOfOHFC06dP1+uvv64WLVpccX815syZo+LiYvvjxIkTLusbAAA0fU797HXvvffqtddeu6ID7969WydPnlTPnj3l4+MjHx8fbd++XUuWLJGPj48iIiJUUVGh06dPO7yuqKhIkZGRl+zX399fwcHBDg8AAIAaTi14Pn/+vFavXq2PPvpIvXr1qnVPr8WLF/9mH4MGDdJXX33lsG3ixInq0qWL/vKXvygmJka+vr7KzMzU6NGjJUm5ubnKy8tTQkKCM2UDAADUL/wcOXJEsbGx2r9/v3r27ClJOnDggEOby723V1BQkOLj4x22tWzZUmFhYfbtkyZNUkpKitq0aaPg4GA99NBDSkhI4EwvAECD4d5nzU+9wk+nTp1UUFCgrKwsSRduZ7FkyRJFRES4pbgXX3xRXl5eGj16tMrLyzVkyBC9+uqrbjkWAAAwQ73Cj2VZDs8/+OADlZaWuqyYbdu2OTxv0aKFli5dqqVLl7rsGAAAwGxOLXiucXEYAgAAaOzqNfNjs9lqrem53DU+AACYrK61Q8eeSfJAJaj3z14TJkyw37y0rKxMf/7zn2ud7bVx40bXVQgAAOBC9Qo/48ePd3h+7733urQYAAAAd6tX+ElPT3dXHQAAAA3iihY8AwAANDWEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUep1kUMAwK+r6/5NABoXZn4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTu7QUAgIdwLzjPYOYHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUrvMDAKp9vZVjzyR5qBKg/vj81g8zPwAAwCiEHwAAYBTCDwAAMAprfgCgDtxzCY0Vn80rx8wPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRONUdAIBGjFPbXY+ZHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUQg/AADAKIQfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFE8Gn5SU1N10003KSgoSOHh4RoxYoRyc3Md2pSVlSk5OVlhYWFq1aqVRo8eraKiIg9VDKA5iJ39fq0HAHN4NPxs375dycnJ+vzzz7VlyxZVVlZq8ODBKi0ttbeZOXOm3n33XW3YsEHbt29Xfn6+Ro0a5cGqAQBAU+bjyYNnZGQ4PF+zZo3Cw8O1e/du3XLLLSouLtZrr72mN954QwMHDpQkpaenq2vXrvr888/1hz/8wRNlAwCAJqxRrfkpLi6WJLVp00aStHv3blVWVioxMdHepkuXLmrfvr2ys7Pr7KO8vFwlJSUODwAAgBqNJvxUV1drxowZ6tevn+Lj4yVJhYWF8vPzU2hoqEPbiIgIFRYW1tlPamqqQkJC7I+YmBh3lw4AAJqQRhN+kpOTtX//fq1fv/6K+pkzZ46Ki4vtjxMnTrioQgAA0Bx4dM1PjalTp+q9997Txx9/rHbt2tm3R0ZGqqKiQqdPn3aY/SkqKlJkZGSdffn7+8vf39/dJQMAgCbKozM/lmVp6tSp2rRpk7Zu3aq4uDiH/b169ZKvr68yMzPt23Jzc5WXl6eEhISGLhcAADQDHp35SU5O1htvvKF//vOfCgoKsq/jCQkJUUBAgEJCQjRp0iSlpKSoTZs2Cg4O1kMPPaSEhATO9AIAAE7xaPhZtmyZJGnAgAEO29PT0zVhwgRJ0osvvigvLy+NHj1a5eXlGjJkiF599dUGrhQAADQXHg0/lmX9ZpsWLVpo6dKlWrp0aQNUBAAAmrtGc7YXAABAQ2gUZ3sBAADXqet+dceeSfJAJY0TMz8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKNwnR8AzUpd1zcBgP+LmR8AAGAUwg8AADAK4QcAABiFNT8AABjg4vVwJt/ri5kfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRuM4PAAAGqus+eKZc+4eZHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUQg/AADAKIQfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABjFx9MFAMCViJ39vqdLANDEMPMDAACMQvgBAABGIfwAAACjsOYHQKPFeh6g8bn47+WxZ5I8VInzmPkBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF6/wAAABJzeMaPpeDmR8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKNwqjsAAKjTxae+NxfM/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjNIkrvOzdOlSPffccyosLNQNN9ygl19+Wb///e89XVad1z849kyS2/p217EAd+PzDKAxafQzP2+++aZSUlL02GOPac+ePbrhhhs0ZMgQnTx50tOlAQCAJqjRh5/Fixfr/vvv18SJE3Xddddp+fLlCgwM1OrVqz1dGgAAaIIa9c9eFRUV2r17t+bMmWPf5uXlpcTERGVnZ9f5mvLycpWXl9ufFxcXS5JKSkpcXl91+bla21x1nLr6dtexAHdz9vN8Oa8D4Fnu+i6q6deyLJf33ajDz48//qiqqipFREQ4bI+IiND//M//1Pma1NRUPfHEE7W2x8TEuKXGi4WkNchhGvxYgLvxeQaaJnf/3T1z5oxCQkJc2mejDj/OmDNnjlJSUuzPq6urderUKYWFhclms3mwMtcpKSlRTEyMTpw4oeDgYE+X0+wwvu7D2LoX4+s+jK171TW+lmXpzJkzio6OdvnxGnX4ueqqq+Tt7a2ioiKH7UVFRYqMjKzzNf7+/vL393fYFhoa6q4SPSo4OJi/hG7E+LoPY+tejK/7MLbudfH4unrGp0ajXvDs5+enXr16KTMz076turpamZmZSkhI8GBlAACgqWrUMz+SlJKSovHjx6t37976/e9/r7S0NJWWlmrixImeLg0AADRBjT783HXXXfrhhx80f/58FRYW6sYbb1RGRkatRdAm8ff312OPPVbr5z24BuPrPoytezG+7sPYuldDj6/Ncsc5ZAAAAI1Uo17zAwAA4GqEHwAAYBTCDwAAMArhBwAAGIXw4yEff/yxhg0bpujoaNlsNr3zzjsO+4uKijRhwgRFR0crMDBQQ4cO1cGDBx3alJWVKTk5WWFhYWrVqpVGjx5d64KQeXl5SkpKUmBgoMLDw/Xoo4/q/Pnz7n57Hnel43vq1Ck99NBD6ty5swICAtS+fXtNmzbNfq+4GiaOrys+uzUsy9Jtt91WZz8mjq3kuvHNzs7WwIED1bJlSwUHB+uWW27RL7/8Yt9/6tQpjR07VsHBwQoNDdWkSZN09uxZd789j3LF2BYWFupPf/qTIiMj1bJlS/Xs2VNvv/22QxsTxzY1NVU33XSTgoKCFB4erhEjRig3N9ehjau+s7Zt26aePXvK399fHTt21Jo1a+pdL+HHQ0pLS3XDDTdo6dKltfZZlqURI0boyJEj+uc//6mcnBx16NBBiYmJKi0ttbebOXOm3n33XW3YsEHbt29Xfn6+Ro0aZd9fVVWlpKQkVVRU6LPPPtPatWu1Zs0azZ8/v0Heoydd6fjm5+crPz9fzz//vPbv3681a9YoIyNDkyZNsvdj6vi64rNbIy0trc7bzpg6tpJrxjc7O1tDhw7V4MGD9cUXX2jnzp2aOnWqvLz+95/8sWPH6uuvv9aWLVv03nvv6eOPP9bkyZMb5D16iivGdty4ccrNzdXmzZv11VdfadSoUbrzzjuVk5Njb2Pi2G7fvl3Jycn6/PPPtWXLFlVWVmrw4MEu/846evSokpKSdOutt2rv3r2aMWOG/uM//kMffvhh/Qq24HGSrE2bNtmf5+bmWpKs/fv327dVVVVZbdu2tVatWmVZlmWdPn3a8vX1tTZs2GBv8+2331qSrOzsbMuyLOu//uu/LC8vL6uwsNDeZtmyZVZwcLBVXl7u5nfVeDgzvnV56623LD8/P6uystKyLMbXsq5sbHNycqzf/e53VkFBQa1+GNsLnB3fPn36WHPnzr1kv998840lydq5c6d92wcffGDZbDbr+++/d+2baKScHduWLVta69atc+irTZs29jaM7QUnT560JFnbt2+3LMt131mzZs2yunXr5nCsu+66yxoyZEi96mPmpxEqLy+XJLVo0cK+zcvLS/7+/vr0008lSbt371ZlZaUSExPtbbp06aL27dsrOztb0oX/++vevbvDBSGHDBmikpISff311w3xVhqlyxnfuhQXFys4OFg+PheuDcr41na5Y3vu3Dndc889Wrp0aZ336WNs63Y543vy5Ent2LFD4eHh6tu3ryIiIvTHP/7RYfyzs7MVGhqq3r1727clJibKy8tLO3bsaKB307hc7me3b9++evPNN3Xq1ClVV1dr/fr1Kisr04ABAyQxtjVqlgi0adNGkuu+s7Kzsx36qGlT08flIvw0QjUfiDlz5ujnn39WRUWFFi1apO+++04FBQWSLvzu7OfnV+umrRERESosLLS3ufhK2DXPa9qY6HLG92I//vijFi5c6DB1zfjWdrljO3PmTPXt21fDhw+vsx/Gtm6XM75HjhyRJD3++OO6//77lZGRoZ49e2rQoEH29SuFhYUKDw936NvHx0dt2rQxdnwv97P71ltvqbKyUmFhYfL399eUKVO0adMmdezYURJjK124B+eMGTPUr18/xcfHS3Ldd9al2pSUlDisafsthJ9GyNfXVxs3btSBAwfUpk0bBQYGKisrS7fddpvDb/ZwTn3Ht6SkRElJSbruuuv0+OOPN3zBTcjljO3mzZu1detWpaWlebbYJuhyxre6ulqSNGXKFE2cOFE9evTQiy++qM6dO2v16tWeLL9Ru9x/F+bNm6fTp0/ro48+0q5du5SSkqI777xTX331lQerb1ySk5O1f/9+rV+/3tOlXBLfpI1Ur169tHfvXp0+fVoFBQXKyMjQTz/9pKuvvlqSFBkZqYqKCp0+fdrhdUVFRfafESIjI2utpK95XtdPDSb5rfGtcebMGQ0dOlRBQUHatGmTfH197fsY37r91thu3bpVhw8fVmhoqHx8fOw/I44ePdr+0wFje2m/Nb5RUVGSpOuuu87hdV27dlVeXp6kC2N48uRJh/3nz5/XqVOnjB7f3xrbw4cP65VXXtHq1as1aNAg3XDDDXrsscfUu3dv+yJq08d26tSpeu+995SVlaV27drZt7vqO+tSbYKDgxUQEHDZdRJ+GrmQkBC1bdtWBw8e1K5du+w/E/Tq1Uu+vr7KzMy0t83NzVVeXp4SEhIkSQkJCfrqq68c/iJu2bJFwcHBtf5hNNWlxle6MOMzePBg+fn5afPmzQ5rASTG97dcamxnz56tL7/8Unv37rU/JOnFF19Uenq6JMb2clxqfGNjYxUdHV3rNOMDBw6oQ4cOki6M7+nTp7V79277/q1bt6q6ulp9+vRpuDfRSF1qbM+dOydJtWaIvb297TNupo6tZVmaOnWqNm3apK1btyouLs5hv6u+sxISEhz6qGlT00d9CoYHnDlzxsrJybFycnIsSdbixYutnJwc6/jx45ZlXTizKCsryzp8+LD1zjvvWB06dLBGjRrl0Mef//xnq3379tbWrVutXbt2WQkJCVZCQoJ9//nz5634+Hhr8ODB1t69e62MjAyrbdu21pw5cxr0vXrClY5vcXGx1adPH6t79+7WoUOHrIKCAvvj/PnzlmWZO76u+OxeTBedeWPq2FqWa8b3xRdftIKDg60NGzZYBw8etObOnWu1aNHCOnTokL3N0KFDrR49elg7duywPv30U6tTp07WmDFjGvS9NrQrHduKigqrY8eO1s0332zt2LHDOnTokPX8889bNpvNev/99+3tTBzbBx54wAoJCbG2bdvm8O/luXPn7G1c8Z115MgRKzAw0Hr00Uetb7/91lq6dKnl7e1tZWRk1Ktewo+HZGVlWZJqPcaPH29ZlmW99NJLVrt27SxfX1+rffv21ty5c2ud4vvLL79YDz74oNW6dWsrMDDQGjlypFVQUODQ5tixY9Ztt91mBQQEWFdddZX18MMP20/Vbs6udHwv9XpJ1tGjR+3tTBxfV3x2L3Zx+LEsM8fWslw3vqmpqVa7du2swMBAKyEhwfrkk08c9v/000/WmDFjrFatWlnBwcHWxIkTrTNnzjTEW/QYV4ztgQMHrFGjRlnh4eFWYGCgdf3119c69d3Esb3Uv5fp6en2Nq76zsrKyrJuvPFGy8/Pz7r66qsdjnG5bP+/aAAAACOw5gcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAo/w/f4A7jFY2l3QAAAAASUVORK5CYII=", - "text/plain": [ - "
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" ] }, "metadata": {}, @@ -110,7 +100,16 @@ } ], "source": [ - "data.plot.hist(column=[\"Year_Birth\"], bins=100)" + "import matplotlib.pyplot as plt\n", + "\n", + "year_counts = data[\"Year_Birth\"].value_counts().sort_index()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "year_counts.plot(kind=\"bar\", color=\"skyblue\", edgecolor=\"black\")\n", + "plt.title(\"Количество клиентов по годам рождения\")\n", + "plt.xlabel(\"Год рождения\")\n", + "plt.ylabel(\"Количество клиентов\")\n", + "plt.show()\n" ] }, { diff --git a/lab1/requirements.txt b/lab1/requirements.txt deleted file mode 100644 index 382accda07d54c50ee5c10fade35f8bf85c8d65a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj&