Poad - August Part Time 2019 - Data Analytics Prework Submission

bus/poad_solution_bus.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Bus\n",
+    "\n",
+    "This bus has a passenger entry and exit control system to monitor the number of occupants it carries and thus detect when there is too high a capacity.\n",
+    "\n",
+    "At each stop the entry and exit of passengers is represented by a tuple consisting of two integer numbers.\n",
+    "```\n",
+    "bus_stop = (in, out)\n",
+    "```\n",
+    "The succession of stops is represented by a list of these tuples.\n",
+    "```\n",
+    "stops = [(in1, out1), (in2, out2), (in3, out3), (in4, out4)]\n",
+    "```\n",
+    "\n",
+    "## Goals:\n",
+    "* lists, tuples\n",
+    "* while/for loops\n",
+    "* minimum, maximum, length\n",
+    "* average, standard deviation\n",
+    "\n",
+    "## Tasks\n",
+    "1. Calculate the number of stops.\n",
+    "2. Assign to a variable a list whose elements are the number of passengers at each stop (in-out),\n",
+    "3. Find the maximum occupation of the bus.\n",
+    "4. Calculate the average occupation. And the standard deviation.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# variables\n",
+    "#stops = [(on1, off1), (on2, off2), (on3, off3), (on4, off4)]\n",
+    "stops = [(2,0), (1,2), (5,3), (4,2)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Calculate the number of stops.\n",
+    "print(len(stops))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Passengers entering  [2, 1, 5, 4]\n",
+      "Passengers exiting  [0, 2, 3, 2]\n",
+      "Number of passengers at each stop is [2, 1, 3, 5]\n"
+     ]
+    }
+   ],
+   "source": [
+    "stop_list_on = []\n",
+    "stop_list_off = []\n",
+    "for i in stops:\n",
+    "    stop_list_on.append(i[0])\n",
+    "    stop_list_off.append(i[1])\n",
+    "print(\"Passengers entering \", stop_list_on)\n",
+    "print(\"Passengers exiting \", stop_list_off)\n",
+    "\n",
+    "# 2. Assign a variable a list whose elements are the number of passengers in each stop:\n",
+    "bus_occupancy = []\n",
+    "stop_occupancy = 0\n",
+    "for i in range(len(stop_list_on)):\n",
+    "    stop_occupancy += (stop_list_on[i] - stop_list_off[i])\n",
+    "    bus_occupancy.append(int(stop_occupancy))  \n",
+    "print(\"Number of passengers at each stop is\", bus_occupancy)\n",
+    "# Each item depends on the previous item in the list + in - out.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 3. Find the maximum occupation of the bus.\n",
+    "print(max(bus_occupancy))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Average occupancy 2.75\n",
+      "Standard deviation of the occupancy is 1.479019945774904\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 4. Calculate the average occupation. And the standard deviation.\n",
+    "avg_occupancy = (sum(bus_occupancy) / len(bus_occupancy))\n",
+    "print(\"Average occupancy\", avg_occupancy)\n",
+    "\n",
+    "summation = 0\n",
+    "for i in bus_occupancy:\n",
+    "    summation += (i - avg_occupancy) ** 2\n",
+    "std_dev = (summation / len(bus_occupancy)) ** 0.5\n",
+    "print(\"Standard deviation of the occupancy is\", std_dev)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
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