product-market-fit-analysis.ipynb

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    "# Product Market Fit Model Analysis\n",
    "\n",
    "From the model's info tab:\n",
    "\n",
    "> Finding product/market fit through interactions with consumers. There are many different product development strategies (e.g. early feedback, getting to market first, etc.) and this model starts to analyze the impact is for these different strategies on longer term sales (the end goal of startups).\n",
    ">\n",
    "> This NetLogo model simulates the process by which producers find product market fit with consumers. Product market fit is how a producer’s value proposition of their product matches the consumer’s underserved needs.\n",
    "\n",
    "This notebook will analyze the results of the model's BehaviorSpace output.\n",
    "\n",
    "First, let's import our tools..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's get the data generated by running the BehaviorSpace \"Strategy comparisons\" experiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_frame = pd.read_csv(\"product-market-fit-data-table.csv\", \n",
    "                        header=6, \n",
    "                        names=[\"run\", \n",
    "                              \"traits\", \n",
    "                              \"strategy\", \n",
    "                              \"features\", \n",
    "                              \"ticks\", \n",
    "                              \"sales\", \n",
    "                              \"effort\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>run</th>\n",
       "      <th>traits</th>\n",
       "      <th>strategy</th>\n",
       "      <th>features</th>\n",
       "      <th>ticks</th>\n",
       "      <th>sales</th>\n",
       "      <th>effort</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>\"random\"</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>50</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>\"random\"</td>\n",
       "      <td>4</td>\n",
       "      <td>59</td>\n",
       "      <td>50</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>\"random\"</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>\"random\"</td>\n",
       "      <td>4</td>\n",
       "      <td>51</td>\n",
       "      <td>50</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>\"random\"</td>\n",
       "      <td>4</td>\n",
       "      <td>87</td>\n",
       "      <td>50</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   run  traits  strategy  features  ticks  sales  effort\n",
       "0    1       3  \"random\"         4     20     50      20\n",
       "1    3       3  \"random\"         4     59     50      59\n",
       "2    4       3  \"random\"         4     30     50      30\n",
       "3    5       3  \"random\"         4     51     50      51\n",
       "4    2       3  \"random\"         4     87     50      87"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_frame.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticks</th>\n",
       "      <th>sales</th>\n",
       "      <th>effort</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>strategy</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>\"feedback\"</th>\n",
       "      <td>51.3</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>\"fixed\"</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>\"random\"</th>\n",
       "      <td>49.4</td>\n",
       "      <td>50.0</td>\n",
       "      <td>49.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "             ticks  sales  effort\n",
       "strategy                         \n",
       "\"feedback\"    51.3   50.0    51.3\n",
       "\"fixed\"     1000.0    8.9     0.0\n",
       "\"random\"      49.4   50.0    49.4"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_analysis = data_frame.groupby([\"strategy\"]).mean().drop([\"run\", \"traits\", \"features\"], 1)\n",
    "mean_analysis"
   ]
  }
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