diff --git a/prototypes/dgps/DGP_for_multi_investment_sales.ipynb b/prototypes/dgps/DGP_for_multi_investment_sales.ipynb
new file mode 100644
index 000000000..0723f5f27
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+++ b/prototypes/dgps/DGP_for_multi_investment_sales.ipynb
@@ -0,0 +1,1385 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "696d00b6-92af-4e70-9b86-8bdc4e44c457",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "from scipy.special import expit, logit"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73c3e7d7-040e-4944-8846-2340a20b14e7",
+   "metadata": {},
+   "source": [
+    "# Data Description and Causal Graph\n",
+    "\n",
+    "(graph generation code commented out to avoid potential issues with dependencies)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87249d30-ca86-4be2-80e2-81912ca281c2",
+   "metadata": {},
+   "source": [
+    "We create one outcome of interest:\n",
+    "\n",
+    "Feature Name | Type | Details \n",
+    ":--- |:--- |:--- \n",
+    "**Revenue** | continuous | \\\\$ Annual revenue from customer given by the amount of software purchased\n",
+    "\n",
+    "We consider three possible treatments, the interventions whose impact we wish to measure:\n",
+    "\n",
+    "Feature Name | Type | Details \n",
+    ":--- |:--- |:--- \n",
+    "**Tech Support** | binary | whether the customer received tech support during the year\n",
+    "**Discount** | binary | whether the customer was given a discount during the year\n",
+    "**New Strategy** | binary | whether the customer was targeted for a new engagement strategy with different outreach behaviors\n",
+    "\n",
+    "Finally, we consider a variety of additional customer characteristics that may affect revenue. Including these types of features is crucial for causal analysis in order to map the full causal graph and separate the true effects of treatments on outcomes from other correlation generated by other influences. \n",
+    "\n",
+    "Feature Name | Type | Details \n",
+    ":--- |:--- |:--- \n",
+    "**Global Flag** | binary | whether the customer has global offices\n",
+    "**Major Flag** | binary | whether the customer is a large consumer in their industry (as opposed to SMC - Small Medium Corporation - or SMB - Small Medium Business)\n",
+    "**SMC Flag** | binary | whether the customer is a Small Medium Corporation (SMC, as opposed to major and SMB)\n",
+    "**Commercial Flag** | binary | whether the customer's business is commercial (as opposed to public secor)\n",
+    "**Planning Summit** | binary | whether a sales team member held an outreach event with the customer during the year\n",
+    "**New Product Adoption** | binary | whether the customer signed a contract for any new products during the year\n",
+    "**IT Spend** | continuous | \\\\$ spent on IT-related purchases \n",
+    "**Employee Count** | continuous | number of employees\n",
+    "**PC Count** | continuous | number of PCs used by the customer\n",
+    "**Size** | continuous | customer's total revenue in the previous calendar year\n",
+    "\n",
+    "In simulating the data, we maintain some key characteristics of the data from the real company example, including some correlation patterns between features and some potentially difficult data characteristics, such as large outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "de157360-88a7-48c6-9476-aa27b73a8963",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# import networkx as nx\n",
+    "# import dowhy.gcm\n",
+    "\n",
+    "# ynode=\"Revenue\"\n",
+    "# mednode=\"New Product Adoption\"\n",
+    "# collider=\"Planning Summit\"\n",
+    "# T_cols = [\"Tech Support\", \"Discount\", \"New Engagement Strategy\"]\n",
+    "# trueg = nx.DiGraph()\n",
+    "# trueg.nodes=new_df.loc[:, 'Global Flag':'Revenue'].columns\n",
+    "# trueg.add_edges_from([(w, \"Revenue\") for w in W_cols])\n",
+    "# trueg.add_edges_from([(x, \"Revenue\") for x in X_cols]) # effect modifiers\n",
+    "# for t in T_cols:\n",
+    "#     trueg.add_edges_from([(w, t) for w in W_cols])\n",
+    "#     trueg.add_edge(t, ynode)\n",
+    "# trueg.add_edge(T_cols[0], mednode); trueg.add_edge(mednode, ynode) # mediator\n",
+    "# trueg.add_edge(T_cols[2], collider);trueg.add_edge(ynode, collider);   # collider\n",
+    "\n",
+    "# dowhy.gcm.util.plot(trueg, figure_size=(20,20))"
+   ]
+  },
+  {
+   "attachments": {
+    "f2e062ea-1897-4614-8251-83cbcaab9a12.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "18c8137c-0859-43fc-b4af-df7040f6cf2c",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:f2e062ea-1897-4614-8251-83cbcaab9a12.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f98ce45-ac55-4181-b763-cca25b6339c6",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Data Generation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c97f95e-eee4-4c13-a01a-d2164a2d19bd",
+   "metadata": {},
+   "source": [
+    "#### Generate covariates W, X.\n",
+    "\n",
+    "Most features are independent but some are correlated."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f53bf8ff-b3fe-41b0-b04b-19ac0a0bec23",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(1)\n",
+    "\n",
+    "n = 50000\n",
+    "\n",
+    "global_flag = np.random.binomial(n = 1, p = 0.2, size = n)\n",
+    "major_flag = np.random.binomial(n = 1, p = 0.2, size = n)\n",
+    "smc_flag = np.random.binomial(n = 1, p = 0.5, size = n)\n",
+    "commercial_flag = np.random.binomial(n = 1, p = 0.7, size = n)\n",
+    "\n",
+    "size = np.random.exponential(scale = 100000, size = n) + np.random.uniform(low = 5000, high = 15000, size = n)\n",
+    "it_spend = np.exp(np.log(size) - 1.4 + np.random.uniform(size = n))\n",
+    "\n",
+    "pc_count = np.random.exponential(scale = 50, size = n) + np.random.uniform(low = 5, high = 10, size = n)\n",
+    "employee_count = np.exp(np.log(pc_count)*0.9 + 0.4 + np.random.uniform(size = n))\n",
+    "\n",
+    "size = size.astype(int)\n",
+    "it_spend = it_spend.astype(int)\n",
+    "pc_count = pc_count.astype(int)\n",
+    "employee_count = employee_count.astype(int)\n",
+    "\n",
+    "\n",
+    "new_X = pd.DataFrame(\n",
+    "    {\n",
+    "        'Global Flag': global_flag,\n",
+    "        'Major Flag': major_flag,\n",
+    "        'SMC Flag': smc_flag,\n",
+    "        'Commercial Flag': commercial_flag,\n",
+    "        'IT Spend': it_spend,\n",
+    "        'Employee Count': employee_count,\n",
+    "        'PC Count': pc_count,\n",
+    "        'Size': size\n",
+    "    }\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a382412f-9731-4faf-a6b0-fa3b15521b86",
+   "metadata": {},
+   "source": [
+    "#### Generate treatment from covariates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8b118a3b-7daa-46e5-bda9-540292a238ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# controls\n",
+    "W_cols = ['Major Flag', 'SMC Flag', 'Commercial Flag', 'IT Spend', 'Employee Count', 'PC Count']\n",
+    "\n",
+    "# Tech Support\n",
+    "coefs_W_tech = np.array([0, 0, 0, 0.00001, 0, 0])\n",
+    "const_tech = -0.465\n",
+    "noise_tech = np.random.normal(scale=2.0, size = n)\n",
+    "z_tech = new_X[W_cols] @ coefs_W_tech + const_tech + noise_tech\n",
+    "prob_tech = expit(z_tech)\n",
+    "tech_support = np.random.binomial(n = 1, p = prob_tech, size = n)\n",
+    "\n",
+    "# Discount\n",
+    "coefs_W_discount = np.array([0.2, 0, 0, 0.000005, 0, 0])\n",
+    "const_discount = -0.27\n",
+    "noise_discount = np.random.normal(scale=1.5, size = n)\n",
+    "z_discount = new_X[W_cols] @ coefs_W_discount + const_discount + noise_discount\n",
+    "prob_discount = expit(z_discount)\n",
+    "discount = np.random.binomial(n = 1, p = prob_discount, size = n)\n",
+    "\n",
+    "# New Engagement Strategy\n",
+    "coefs_W_t3 = np.array([0.5, 0.1, -0.2, 0, 0.005, -0.005])\n",
+    "const_t3 = -0.12\n",
+    "noise_t3 = np.random.normal(scale=1.0, size = n)\n",
+    "z_t3 = new_X[W_cols] @ coefs_W_t3 + const_t3 + noise_t3\n",
+    "prob_t3 = expit(z_t3)\n",
+    "t3 = np.random.binomial(n = 1, p = prob_t3, size = n)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c588eee1-49b9-45a7-a763-28bf35713f57",
+   "metadata": {},
+   "source": [
+    "#### Mediator\n",
+    "\n",
+    "generated from Tech Support"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d815f54c-0fa6-4e82-b97b-ea52438a9345",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "z_m = tech_support*2-1 + np.random.normal(size=n)\n",
+    "prob_m = expit(z_m)\n",
+    "m = np.random.binomial(n = 1, p = prob_m, size = n)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "18806b94-cb7f-41d2-8c79-58bb13f2be6e",
+   "metadata": {},
+   "source": [
+    "#### Outcome"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7008c2bc-0b50-4eae-aef7-a88d648f5760",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# X features determine heterogeneous treatment effects\n",
+    "X_cols = ['Global Flag', 'Size']\n",
+    "theta_coef_tech_support = [500, 0.02]\n",
+    "theta_const_tech_support = 5000\n",
+    "te_tech_support = new_X[X_cols] @ theta_coef_tech_support + theta_const_tech_support\n",
+    "\n",
+    "theta_coef_discount = [-1000, 0.05]\n",
+    "theta_const_discount = 0\n",
+    "te_discount = new_X[X_cols] @ theta_coef_discount + theta_const_discount\n",
+    "\n",
+    "theta_coef_t3 = [0, 0]\n",
+    "theta_const_t3 = 0\n",
+    "te_t3 = new_X[X_cols] @ theta_coef_t3 + theta_const_t3\n",
+    "\n",
+    "y_te = te_tech_support*tech_support + te_discount*discount + te_t3*t3\n",
+    "\n",
+    "g_coefs = np.array([2000, 0, 5000, 0.25, 0.0001, 0.0001])\n",
+    "g_const = 5000\n",
+    "g_y = new_X[W_cols] @ g_coefs + g_const\n",
+    "\n",
+    "y_noise = np.random.normal(scale = 1000, size = n)\n",
+    "\n",
+    "mediator_effect = 2000*m\n",
+    "\n",
+    "y = pd.Series(y_te + g_y + y_noise + mediator_effect)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "df210587-11a1-4fcc-b85c-b14521b9c025",
+   "metadata": {},
+   "source": [
+    "#### Collider\n",
+    "\n",
+    "Caused by both outcome and New Engagement Strategy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f74d6dd5-ec2e-42ab-bf6b-83a487243c73",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "z_c = 0.03*y + 1000*t3 - 1400\n",
+    "prob_c = expit(z_c)\n",
+    "c = np.random.binomial(n = 1, p = prob_c, size = n)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3531e66e-df3c-4215-b9f4-ca0f4f88c7ff",
+   "metadata": {},
+   "source": [
+    "## Consolidate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "712d2003-e09a-417b-b8b0-514d982261fe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_df = (\n",
+    "    pd.concat(\n",
+    "        [\n",
+    "            new_X,\n",
+    "            pd.DataFrame(\n",
+    "                {\n",
+    "                    'Tech Support': tech_support,\n",
+    "                    'Discount': discount,\n",
+    "                    'New Engagement Strategy': t3,\n",
+    "                    'New Product Adoption': m,\n",
+    "                    'Planning Summit': c,\n",
+    "                    'Revenue': y,\n",
+    "                    'Direct Treatment Effect: Tech Support': te_tech_support,\n",
+    "                    'Total Treatment Effect: Tech Support': np.round(te_tech_support + (expit(1) - expit(-1))*2000, decimals=2), # incorporate effect from mediator into total effect.\n",
+    "                    'Direct Treatment Effect: Discount': te_discount,\n",
+    "                    'Total Treatment Effect: Discount': te_discount,\n",
+    "                    'Direct Treatment Effect: New Engagement Strategy': te_t3,\n",
+    "                    'Total Treatment Effect: New Engagement Strategy': te_t3,\n",
+    "                }\n",
+    "            )\n",
+    "        ],\n",
+    "        axis = 1,\n",
+    "    )\n",
+    "    .assign(Revenue = lambda df: df['Revenue'].round(2))\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c19fda0-37fe-4cc9-b86c-593360a15fd6",
+   "metadata": {},
+   "source": [
+    "#### write to csv "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "ed4b894e-e90b-4e1f-92fc-5654d30ed0f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(\n",
+    "    new_df\n",
+    "    .to_csv('multi_attribution_data.csv', index = False)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0067390e-91cd-497b-954c-7e5178535f9a",
+   "metadata": {},
+   "source": [
+    "#### Ground Truth ATE check "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "7a33edcf-4bfb-42ee-906b-63cc19a1a1d6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Direct Treatment Effect: Tech Support               7296.320288\n",
+       "Total Treatment Effect: Tech Support                8220.550288\n",
+       "Direct Treatment Effect: Discount                   5292.150720\n",
+       "Total Treatment Effect: Discount                    5292.150720\n",
+       "Direct Treatment Effect: New Engagement Strategy       0.000000\n",
+       "Total Treatment Effect: New Engagement Strategy        0.000000\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df.filter(like='Treatment Effect').mean(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "373f965f-823a-49d6-8d1b-7c1adf344386",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Data checks (optional)\n",
+    "\n",
+    "Compare newly generated data against an older version of the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "42ebc59f-4090-4f30-9a56-358554ae820b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the sample multi-attribution data\n",
+    "file_url = \"https://msalicedatapublic.blob.core.windows.net/datasets/ROI/multi_attribution_sample.csv\"\n",
+    "multi_data = pd.read_csv(file_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "fc86e2a4-e82d-42c9-a7ab-c9266d3bde24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_dict = {'New Dataset': new_df, 'Old Dataset': multi_data}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a86ed07-6567-4dc1-988a-13f2ad6cb17c",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### X, W Distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b2719d8c-0e84-4904-8660-d17c63dbec29",
+   "metadata": {},
+   "source": [
+    "binary vars, count occurences for each unique value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "f049ed8f-df84-4df6-930d-d04d06aaed6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Global Flag</th>\n",
+       "      <th>Major Flag</th>\n",
+       "      <th>SMC Flag</th>\n",
+       "      <th>Commercial Flag</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>40030</td>\n",
+       "      <td>39982</td>\n",
+       "      <td>24884</td>\n",
+       "      <td>15094</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>9970</td>\n",
+       "      <td>10018</td>\n",
+       "      <td>25116</td>\n",
+       "      <td>34906</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Global Flag  Major Flag  SMC Flag  Commercial Flag\n",
+       "0        40030       39982     24884            15094\n",
+       "1         9970       10018     25116            34906"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Old Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Global Flag</th>\n",
+       "      <th>Major Flag</th>\n",
+       "      <th>SMC Flag</th>\n",
+       "      <th>Commercial Flag</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1596</td>\n",
+       "      <td>1610</td>\n",
+       "      <td>991</td>\n",
+       "      <td>618</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>404</td>\n",
+       "      <td>390</td>\n",
+       "      <td>1009</td>\n",
+       "      <td>1382</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Global Flag  Major Flag  SMC Flag  Commercial Flag\n",
+       "0         1596        1610       991              618\n",
+       "1          404         390      1009             1382"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    print(key)\n",
+    "    display(\n",
+    "        df\n",
+    "        [['Global Flag', 'Major Flag', 'SMC Flag', 'Commercial Flag']]\n",
+    "        .apply(pd.Series.value_counts)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ec49973-31e9-40e5-be38-28a5fe4fe358",
+   "metadata": {},
+   "source": [
+    "continuous vars"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "4e26089a-90ca-41bc-9fab-f9d71b9eca1b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+3w31+7NdiCRpdPV7GuoNUy2vqvfNTDmSpFE0nXdDPYXm1hsAzwcu5YF3g5Uk/YbqNywOAI6qqjsBkpwJfLaq/sNsFSZJGh39hsUjgXt65u8BFs94NXPc4pUXD23fG886aWj7ljT6+g2LTwCXJ/kCzSe5Xwh8fNaqkiSNlH7fDbUqyZeB322bXllVV81eWZKkUdLv91kA7AHcUVV/A2xqv1tCkjQH9Pu1qu8E3gKc0TbtDJw3W0VJkkZLv0cWLwReQPN92VTVZrzdhyTNGf2GxT1VVbS3KU+y5+yVJEkaNf2GxQVJPgTsm+RVwFfwi5Akac7ofDdUkgCfAR4L3AE8BnhHVV0yy7VJkkZEZ1hUVSX5YlU9GTAgJGkO6vc01L8kecqsViJJGln9foL794HXJNlI846o0Bx0HDlbhUmSRseUYZHkkVV1C/DcAdUjSRpBXUcWX6S52+zNST5XVX84gJokSSOm65pFeqYPm81CJEmjqyssapJpSdIc0nUa6glJ7qA5wti9nYZfX+DeZ1arkySNhCnDoqrmDaoQSdLoms4tyiVJc9TQwiLJvCRXJflSO79/kkuS3Ng+79fT94wkG5LckOT4YdUsSXPVMI8sXgdc3zO/ElhbVUuAte08SQ4HlgNHACcAZyfx9JgkDdBQwiLJIuAk4CM9zcuA1e30auDknvbzq+ruqroJ2AAcPaBSJUkM78ji/cCbgft72g6qqi0A7fOBbftC4NaefpvatgdJclqSdUnWbdu2bcaLlqS5auBhkeR5wNaquqLfVSZom/AzH1V1TlUtraql8+fP3+4aJUkP1O+NBGfSM4AXJDkR2A3YJ8l5wG1JFlTVliQLgK1t/03AIT3rLwI2D7RiSZrjBn5kUVVnVNWiqlpMc+H6q1X1MmANsKLttgK4qJ1eAyxPsmuSQ4ElwOUDLluS5rRhHFlM5iyar289FbgFOAWgqtYnuQC4DrgXOL2q7htemZI09ww1LKrqa8DX2unbgWMn6bcKWDWwwiRJD+AnuCVJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1MiwkSZ0GHhZJDknyz0muT7I+yeva9v2TXJLkxvZ5v551zkiyIckNSY4fdM2SNNcN48jiXuCNVfU44KnA6UkOB1YCa6tqCbC2naddthw4AjgBODvJvCHULUlz1k6D3mFVbQG2tNN3JrkeWAgsA45pu60Gvga8pW0/v6ruBm5KsgE4GvjmYCv/zbZ45cVD2e/Gs04ayn4lTc9Qr1kkWQw8CbgMOKgNkrFAObDtthC4tWe1TW3bRNs7Lcm6JOu2bds2a3VL0lwztLBIshfwOeD1VXXHVF0naKuJOlbVOVW1tKqWzp8/fybKlCQxpLBIsjNNUHyyqj7fNt+WZEG7fAGwtW3fBBzSs/oiYPOgapUkDefdUAE+ClxfVe/rWbQGWNFOrwAu6mlfnmTXJIcCS4DLB1WvJGkIF7iBZwAvB65JcnXb9lbgLOCCJKcCtwCnAFTV+iQXANfRvJPq9Kq6b+BVS9IcNox3Q32Dia9DABw7yTqrgFWzVpQkaUp+gluS1MmwkCR1MiwkSZ0MC0lSJ8NCktTJsJAkdTIsJEmdDAtJUifDQpLUybCQJHUyLCRJnQwLSVInw0KS1MmwkCR1Gsb3WUi/snjlxUPb98azThravqUdjUcWkqROhoUkqZNhIUnqZFhIkjoZFpKkToaFJKmTYSFJ6mRYSJI6GRaSpE5+gltz1rA+Pe4nx7Uj8shCktTJsJAkdTIsJEmdvGYhDZh32tWOaIc5skhyQpIbkmxIsnLY9UjSXLJDHFkkmQd8AHgOsAn4VpI1VXXdcCuTdizDPKoZBo+kZs4OERbA0cCGqvo3gCTnA8sAw0LSpOZaOMLsBeSOEhYLgVt75jcBvzO+U5LTgNPa2buS3NDHtg8AfviQK5x51jU91jU91jU9O0xdec9D3uajJmrcUcIiE7TVgxqqzgHOmdaGk3VVtXR7C5st1jU91jU91jU91rXjXODeBBzSM78I2DykWiRpztlRwuJbwJIkhybZBVgOrBlyTZI0Z+wQp6Gq6t4krwX+EZgHnFtV62do89M6bTVA1jU91jU91jU9c76uVD3o1L8kSQ+wo5yGkiQNkWEhSeo0p8NilG4hkmRjkmuSXJ1kXdu2f5JLktzYPu83gDrOTbI1ybU9bZPWkeSMdvxuSHL8gOs6M8n32zG7OsmJg6wrySFJ/jnJ9UnWJ3ld2z7U8ZqirmGP125JLk/y7baud7Xtwx6vyeoa6nj17GtekquSfKmdH854VdWcfNBcKP8ecBiwC/Bt4PAh1rMROGBc23uBle30SuA9A6jjWcBRwLVddQCHt+O2K3BoO57zBljXmcCbJug7kLqABcBR7fTewL+2+x7qeE1R17DHK8Be7fTOwGXAU0dgvCara6jj1bO/NwCfAr7Uzg9lvObykcWvbiFSVfcAY7cQGSXLgNXt9Grg5NneYVVdCvyozzqWAedX1d1VdROwgWZcB1XXZAZSV1Vtqaor2+k7getp7jYw1PGaoq7JDKquqqq72tmd20cx/PGarK7JDOzffZJFwEnAR8btf+DjNZfDYqJbiEz1H2q2FfBPSa5ob1sCcFBVbYHmBQA4cEi1TVbHKIzha5N8pz1NNXY4PvC6kiwGnkTzV+nIjNe4umDI49WeUrka2ApcUlUjMV6T1AXD//f1fuDNwP09bUMZr7kcFn3dQmSAnlFVRwHPBU5P8qwh1tKvYY/hB4FHA08EtgB/1bYPtK4kewGfA15fVXdM1XWCtkHWNfTxqqr7quqJNHdhODrJ46foPuy6hjpeSZ4HbK2qK/pdZYK2GatrLofFSN1CpKo2t89bgS/QHD7elmQBQPu8dUjlTVbHUMewqm5r/5PfD3yYXx9yD6yuJDvTvCB/sqo+3zYPfbwmqmsUxmtMVf0E+BpwAiMwXhPVNQLj9QzgBUk20pwmf3aS8xjSeM3lsBiZW4gk2TPJ3mPTwL8Drm3rWdF2WwFcNIz6pqhjDbA8ya5JDgWWAJcPqqix/zCtF9KM2cDqShLgo8D1VfW+nkVDHa/J6hqB8ZqfZN92enfgOOC7DH+8Jqxr2ONVVWdU1aKqWkzz+vTVqnoZwxqv2bqCvyM8gBNp3inyPeBtQ6zjMJp3MXwbWD9WC/AIYC1wY/u8/wBq+TTNIfcvaf5SOXWqOoC3teN3A/DcAdf1CeAa4Dvtf5QFg6wLeCbNYf53gKvbx4nDHq8p6hr2eB0JXNXu/1rgHV3/zodc11DHa1yNx/Drd0MNZby83YckqdNcPg0lSeqTYSFJ6mRYSJI6GRaSpE6GhSSpk2EhSepkWEiSOv1/EzxkHDZWx0UAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for col_name in ['IT Spend', 'Employee Count', 'PC Count', 'Size']:\n",
+    "    for key in df_dict:\n",
+    "        plt.figure()\n",
+    "        ax = df[col_name].plot.hist(title = key + ': ' + col_name)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f8cb832-2c7a-4924-9677-fc031ab71e4a",
+   "metadata": {},
+   "source": [
+    "sensible minimums for IT Spend, Employee Count, PC Count, Size "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "db2ecc46-ff10-4269-8914-5431d7015aae",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Minimum value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>IT Spend</th>\n",
+       "      <td>1443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Employee Count</th>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC Count</th>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Size</th>\n",
+       "      <td>5249</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Minimum value\n",
+       "IT Spend                 1443\n",
+       "Employee Count              6\n",
+       "PC Count                    5\n",
+       "Size                     5249"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Old Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Minimum value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>IT Spend</th>\n",
+       "      <td>1161</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Employee Count</th>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC Count</th>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Size</th>\n",
+       "      <td>10101</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Minimum value\n",
+       "IT Spend                 1161\n",
+       "Employee Count             10\n",
+       "PC Count                    6\n",
+       "Size                    10101"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    print(key)\n",
+    "    display(\n",
+    "        df\n",
+    "        [['IT Spend', 'Employee Count', 'PC Count', 'Size']]\n",
+    "        .apply(pd.Series.min)\n",
+    "        .to_frame('Minimum value')\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d433e31-710d-4082-8b39-b5b42f0cc14f",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "##### patterns "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37f63100-91f3-403f-8743-6694fc1f4039",
+   "metadata": {},
+   "source": [
+    "IT Spend vs Size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "590f487c-0634-4839-945b-8b790795d067",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    (\n",
+    "        df\n",
+    "        .plot.scatter(x = 'IT Spend', y = 'Size', title = 'IT SPEND vs SIZE: ' + key)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ffb409c-f4c2-4b45-b234-df3900ff0be4",
+   "metadata": {},
+   "source": [
+    "Employee Count vs PC Count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "402bc3e6-31b5-4ce1-9f98-6d1515d65a13",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    (\n",
+    "        df\n",
+    "        .plot.scatter(x = 'Employee Count', y = 'PC Count', title = 'Employee Count vs PC Count: ' + key)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "235c747a-7521-4d47-b05b-ae9a569b42a0",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Treatment distribution "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7fc6a11e-caff-49cf-9579-ad6c73a5ae06",
+   "metadata": {},
+   "source": [
+    "value counts for each treatment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "86dcb1d1-b3df-4f47-b95f-0b0b4b62fc0d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tech Support</th>\n",
+       "      <th>Discount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>25092</td>\n",
+       "      <td>25008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>24908</td>\n",
+       "      <td>24992</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Tech Support  Discount\n",
+       "1         25092     25008\n",
+       "0         24908     24992"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Old Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tech Support</th>\n",
+       "      <th>Discount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1006</td>\n",
+       "      <td>1021</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>994</td>\n",
+       "      <td>979</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Tech Support  Discount\n",
+       "1          1006      1021\n",
+       "0           994       979"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    print(key)\n",
+    "    display(\n",
+    "        df\n",
+    "        .reindex(['Tech Support', 'Discount'], axis = 1)\n",
+    "        .apply(pd.Series.value_counts)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "933a3c28-b0b7-42b9-9e0c-332e85b49ff2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "##### patterns "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d72b9716-0ea1-439d-9005-56557d03076a",
+   "metadata": {},
+   "source": [
+    "treatment correlated with size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "79054d46-9af7-4d2c-89a3-ff5f6d2e12de",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tech Support</th>\n",
+       "      <th>Discount</th>\n",
+       "      <th>Avg Size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>91648</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>102870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>114011</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>130562</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Tech Support  Discount  Avg Size\n",
+       "0             0         0     91648\n",
+       "1             0         1    102870\n",
+       "2             1         0    114011\n",
+       "3             1         1    130562"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Old Dataset\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Tech Support</th>\n",
+       "      <th>Discount</th>\n",
+       "      <th>Avg Size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>70943</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>96466</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>108978</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>171466</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Tech Support  Discount  Avg Size\n",
+       "0             0         0     70943\n",
+       "1             0         1     96466\n",
+       "2             1         0    108978\n",
+       "3             1         1    171466"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    print(key)\n",
+    "    display(\n",
+    "        df\n",
+    "        .groupby(\n",
+    "            ['Tech Support', 'Discount'],\n",
+    "            as_index = False\n",
+    "        )\n",
+    "        ['Size']\n",
+    "        .mean()\n",
+    "        .rename(columns = {'Size': 'Avg Size'})\n",
+    "        .astype(int)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "021b43e1-99b1-45ac-9087-3fa8d8af368e",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Y "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "ccf42004-f420-4971-93c2-ad4da92bedfe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for key in df_dict:\n",
+    "    df = df_dict[key]\n",
+    "    plt.figure()\n",
+    "    df['Revenue'].plot.hist(title = 'Revenue: ' + key)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ff437853-f033-4b3a-8cb2-99939bdda56b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}