eda_model.ipynb

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  {
   "cell_type": "markdown",
   "id": "bff473c3",
   "metadata": {},
   "source": [
    "**problem statement:** The contents that MOVIE recommender system display in front of the users are really likeable by the users or not."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6995232",
   "metadata": {},
   "source": [
    "# importing the required libraries\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "initial_id",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "1e108eba-a099-41ba-b5c3-a453057f9515",
   "metadata": {},
   "outputs": [
    {
     "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>reviewId</th>\n",
       "      <th>userName</th>\n",
       "      <th>content</th>\n",
       "      <th>score</th>\n",
       "      <th>thumbsUpCount</th>\n",
       "      <th>reviewCreatedVersion</th>\n",
       "      <th>at</th>\n",
       "      <th>appVersion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7dfb1f90-f185-4e81-a97f-d38f0128e5a4</td>\n",
       "      <td>Maxwell Ntloko</td>\n",
       "      <td>Good</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2024-06-26 15:38:06</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3009acc4-8554-41cf-88de-cc5e2f6e45b2</td>\n",
       "      <td>Dilhani Mahanama</td>\n",
       "      <td>👍👍</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2024-06-24 15:29:54</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               reviewId          userName content  score  \\\n",
       "0  7dfb1f90-f185-4e81-a97f-d38f0128e5a4    Maxwell Ntloko    Good      5   \n",
       "1  3009acc4-8554-41cf-88de-cc5e2f6e45b2  Dilhani Mahanama      👍👍      5   \n",
       "\n",
       "   thumbsUpCount reviewCreatedVersion                   at appVersion  \n",
       "0              1                  NaN  2024-06-26 15:38:06        NaN  \n",
       "1              0                  NaN  2024-06-24 15:29:54        NaN  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/netflix_reviews.csv')\n",
    "pd.set_option('display.max_columns', None)\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "44f9fffa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 113609 entries, 0 to 113608\n",
      "Data columns (total 8 columns):\n",
      " #   Column                Non-Null Count   Dtype \n",
      "---  ------                --------------   ----- \n",
      " 0   reviewId              113609 non-null  object\n",
      " 1   userName              113607 non-null  object\n",
      " 2   content               113607 non-null  object\n",
      " 3   score                 113609 non-null  int64 \n",
      " 4   thumbsUpCount         113609 non-null  int64 \n",
      " 5   reviewCreatedVersion  96971 non-null   object\n",
      " 6   at                    113609 non-null  object\n",
      " 7   appVersion            96971 non-null   object\n",
      "dtypes: int64(2), object(6)\n",
      "memory usage: 6.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "fa6f30cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "reviewCreatedVersion\n",
       "7.84.1 build 28 35243     1907\n",
       "8.96.1 build 16 50568     1854\n",
       "7.38.0 build 27 34635     1700\n",
       "8.104.0 build 5 50619     1236\n",
       "8.105.0 build 15 50626    1197\n",
       "                          ... \n",
       "6.11.0 build 29550           1\n",
       "5.9.0 build 24855            1\n",
       "3.9.2 build 4278             1\n",
       "8.112.0 build 2 50661        1\n",
       "8.106.0 build 7 50630        1\n",
       "Name: count, Length: 557, dtype: int64"
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     "execution_count": 59,
     "metadata": {},
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   ],
   "source": [
    "df.reviewCreatedVersion.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "1364113b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "appVersion\n",
       "7.84.1 build 28 35243     1907\n",
       "8.96.1 build 16 50568     1854\n",
       "7.38.0 build 27 34635     1700\n",
       "8.104.0 build 5 50619     1236\n",
       "8.105.0 build 15 50626    1197\n",
       "                          ... \n",
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       "8.112.0 build 2 50661        1\n",
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       "Name: count, Length: 557, dtype: int64"
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     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.appVersion.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e62a1693",
   "metadata": {},
   "source": [
    "**Here removing some unusable column fro our targated model**\n",
    "# feature engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "018624bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['reviewId', 'content', 'score', 'thumbsUpCount'], dtype='object')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(['reviewCreatedVersion','at','appVersion','userName'],axis='columns',inplace=True)\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d1ec3699",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "reviewId         0\n",
       "content          2\n",
       "score            0\n",
       "thumbsUpCount    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "f251c39d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "5826b63c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "309"
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     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "dbb4917d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(113607, 4)"
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     },
     "execution_count": 65,
     "metadata": {},
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   ],
   "source": [
    "df.drop_duplicates()\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fd574a0",
   "metadata": {},
   "source": [
    "**Distribution of score and Thumbs up count**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "c514e5c8",
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             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Distribution of Values"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "score = df.score.value_counts()\n",
    "thumbs = df.thumbsUpCount.value_counts().head(7)\n",
    "\n",
    "\n",
    "# Create subplots\n",
    "fig = make_subplots(rows=1, cols=2, specs=[[{'type': 'domain'}, {'type': 'domain'}]])\n",
    "\n",
    "# Add both pie charts to the figure\n",
    "fig.add_trace(go.Pie(labels=score.index, values=score.values, name=\"Score distribution\"), 1, 1)\n",
    "fig.add_trace(go.Pie(labels=thumbs.index, values=thumbs.values, name=\"Thumbs up count\"), 1, 2)\n",
    "\n",
    "# Customize the charts (optional)\n",
    "fig.update_traces(hole=0.4, hoverinfo=\"label+percent+name\")\n",
    "\n",
    "# Set subplot titles\n",
    "fig.update_layout(title_text=\"Distribution of Values\")\n",
    "\n",
    "# Show the figure\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "946a1bb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a scatter plot\n",
    "\n",
    "palette = sns.color_palette(\"mako\", as_cmap=False)\n",
    "sns.scatterplot(x=\"score\", y=\"thumbsUpCount\", data=df,hue=\"score\",palette=palette)\n",
    "plt.xlabel(\"Scores-->\")\n",
    "plt.ylabel(\"Thumbs Up-->\")\n",
    "plt.title(\"Scatter Plot: Score vs. Thumbs Up\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "87b3727a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(column=['thumbsUpCount'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a9624a6",
   "metadata": {},
   "source": [
    "# outlier removal\n",
    "**using IQR**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "a2a83828",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    113607.00000\n",
       "mean         10.43500\n",
       "std         101.01473\n",
       "min           0.00000\n",
       "25%           0.00000\n",
       "50%           0.00000\n",
       "75%           1.00000\n",
       "max        8032.00000\n",
       "Name: thumbsUpCount, dtype: float64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.thumbsUpCount.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "ce7c59ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df.thumbsUpCount <= df.thumbsUpCount.quantile(0.92)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "fe2a5852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhYAAAGdCAYAAABO2DpVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAeQklEQVR4nO3df3TV9X348deF3AQiSfwRRKlRUEFBQVrxR6BV2gr9ysZZXdd5us5ZtrqugkqhtmP2SLG12K/S6tks7VxX2m1Oz2px605QUif4nUpF/DForYpKtRVFLOYi0eQqn+8fHbeGAOaGdyAhj8c5HHPf93M/n3cu55P75J2P9+ayLMsCACCBAQd6AgDAwUNYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMhX7+4A7duyIF198MWpqaiKXy+3vwwMA3ZBlWWzbti2GDx8eAwbseV1iv4fFiy++GA0NDfv7sABAAi+88EIcc8wxe7x/v4dFTU1NRPx2YrW1tfv78EAPKhaLsWLFipg2bVrk8/kDPR0goUKhEA0NDaXX8T3Z72Gx89cftbW1wgIOMsViMaqrq6O2tlZYwEHq3S5jcPEmAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGT2+xtkAQen3b1pTpZlB2AmwIFU9orFr3/96/jTP/3TOOKII2Lw4MExbty4ePjhh3tibkAfsad34vNBg9D/lLVisXXr1pg8eXJ88IMfjOXLl8fQoUPj6aefjsMOO6yn5gf0cu8WD7lczsoF9CNlhcXXv/71aGhoiO9973ulsZEjRyafFNA37BoV7e3t0dTUFNOnT4/KysoO24kL6B/KCov/+I//iI985CPx8Y9/PFatWhXvec974tJLL41LLrlkj49pa2uLtra20u1CoRARv/2womKx2M1pA71Ne3t76ZwuFovR3t7eIS6c79C3dfUcLissnn322ViyZEnMnTs3/uZv/ibWrFkTl19+eVRWVsbFF1+828csWrQoFi5c2Gl8xYoVUV1dXc7hgV6sqamp9HVzc/Ne7wf6ntbW1i5tl8vKWJ+srKyMiRMnxgMPPFAau/zyy2PNmjXx4IMP7vYxu1uxaGhoiC1btvjYdOjj3rkisXPForm5OaZOnRr5fL7T/UDfVSgUor6+PlpaWvb6+l3WisXRRx8dY8eO7TA2ZsyYuOOOO/b4mKqqqqiqquo0ns/nI5/Pl3N4oBerrKwsxcOuUbFzDOi7unoOlxUWkydPjieffLLD2FNPPRXHHXdcObsBDhJZlnW4gHPXmHjndkD/UNb7WHzuc5+L1atXx9e+9rXYsGFD3HrrrfH3f//3MWvWrJ6aH9DLvVs0iAroX8oKizPOOCOWLVsW//qv/xqnnnpqfOUrX4kbb7wxPvnJT/bU/IA+YE/xICqg/ynr4s0UCoVC1NXVvevFH0DfUywWS+9j4ZoKOLh09fXbh5ABAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkKg70BICDQy6X6zSWZdkBmAlwIJW1YvHlL385crlchz8nn3xyT80N6CN2FxV7GwcOXmWvWJxyyinxk5/85Hc7qLDoAf3Zu8VDLpezcgH9SNnXWFRUVMRRRx1V+lNfX98T8wL6gF2jor29Pe68885ob2/f63bAwavs5Yann346hg8fHoMGDYrGxsZYtGhRHHvssXvcvq2tLdra2kq3C4VCREQUi8UoFovdmDLQG7W3t5fO6WKxGO3t7VFZWVm63/kOfVtXz+GywuKss86KpUuXxkknnRSbNm2KhQsXxgc+8IFYv3591NTU7PYxixYtioULF3YaX7FiRVRXV5dzeKAXa2pqKn3d3Ny81/uBvqe1tbVL2+Wyffjl52uvvRbHHXdcfOMb34i/+Iu/2O02u1uxaGhoiC1btkRtbW13Dw30Au9ckdi5YtHc3BxTp06NfD7f6X6g7yoUClFfXx8tLS17ff3epysvDz300Bg9enRs2LBhj9tUVVVFVVVVp/F8Ph/5fH5fDg/0IpWVlaV42DUqdo4BfVdXz+F9CovXX389nnnmmbjooov2ZTdAH5VlWYcLM3eNiXduB/QPZf1fIZ///Odj1apVsXHjxnjggQfiggsuiIEDB8YnPvGJnpof0Mu9WzSICuhfylqx+NWvfhWf+MQn4tVXX42hQ4fG+9///li9enUMHTq0p+YH9AG7rly8cxzoX8oKi9tuu62n5gH0cVmWRbFYjKamppg+fbprKqCf8iFkAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgmYoDPQHg4JDL5TqNZVl2AGYCHEj7tGJx3XXXRS6Xizlz5iSaDtAX7S4q9jYOHLy6HRZr1qyJ73znOzF+/PiU8wH6mHeLB3EB/Uu3wuL111+PT37yk3HLLbfEYYcdlnpOQB+xazS0t7fHnXfeGe3t7XvdDjh4desai1mzZsXv/d7vxXnnnRdf/epX97ptW1tbtLW1lW4XCoWIiCgWi1EsFrtzeKAXam9vL53TxWIx2tvbo7KysnS/8x36tq6ew2WHxW233RaPPPJIrFmzpkvbL1q0KBYuXNhpfMWKFVFdXV3u4YFeqqmpqfR1c3PzXu8H+p7W1tYubZfLyrhs+4UXXoiJEydGc3Nz6dqKKVOmxIQJE+LGG2/c7WN2t2LR0NAQW7Zsidra2q4eGuiF3rkisXPForm5OaZOnRr5fL7T/UDfVSgUor6+PlpaWvb6+l3WisXatWtj8+bN8b73va809vbbb8d9990Xf/d3fxdtbW0xcODADo+pqqqKqqqqTvvK5/ORz+fLOTzQi1VWVpbiYdeo2DkG9F1dPYfLCosPf/jDsW7dug5jM2fOjJNPPjm++MUvdooK4OCWZVmHCzN3jYl3bgf0D2WFRU1NTZx66qkdxg455JA44ogjOo0D/cOucbG7+4H+w1t6A/tsT/EgKqD/2ee39F65cmWCaQB9XZZlUSwWo6mpKaZPn+6aCuinrFgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkKg70BICDQy6X6zSWZdkBmAlwIJW1YrFkyZIYP3581NbWRm1tbTQ2Nsby5ct7am5AH7G7qNjbOHDwKissjjnmmLjuuuti7dq18fDDD8eHPvSh+IM/+IP42c9+1lPzA3q5d4sHcQH9S1lhMWPGjJg+fXqMGjUqRo8eHddee20MGTIkVq9e3VPzA3qxXaOhvb097rzzzmhvb9/rdsDBq9vXWLz99tvxb//2b7F9+/ZobGzc43ZtbW3R1tZWul0oFCIiolgsRrFY7O7hgV6mvb29dE4Xi8Vob2+PysrK0v3Od+jbunoOlx0W69ati8bGxnjzzTdjyJAhsWzZshg7duwet1+0aFEsXLiw0/iKFSuiurq63MMDvVRTU1Pp6+bm5r3eD/Q9ra2tXdoul5V52XZ7e3s8//zz0dLSEj/84Q/jH/7hH2LVqlV7jIvdrVg0NDTEli1bora2tpxDA73MO1ckdq5YNDc3x9SpUyOfz3e6H+i7CoVC1NfXR0tLy15fv8tesaisrIwTTzwxIiJOP/30WLNmTdx0003xne98Z7fbV1VVRVVVVafxfD4f+Xy+3MMDvVRlZWUpHnaNip1jQN/V1XN4n9/HYseOHR1WJID+I8uyDhdm7hoT79wO6B/KCov58+fH+eefH8cee2xs27Ytbr311li5cmXcfffdPTU/oJfbNS52dz/Qf5QVFps3b44/+7M/i02bNkVdXV2MHz8+7r777pg6dWpPzQ/oA/YUF6IC+p+ywuK73/1uT80D6OOyLItisRhNTU0xffp011RAP+VDyACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIpqywWLRoUZxxxhlRU1MTRx55ZHz0ox+NJ598sqfmBgD0MWWFxapVq2LWrFmxevXqaG5ujmKxGNOmTYvt27f31PwAgD6kopyN77rrrg63ly5dGkceeWSsXbs2zjnnnKQTAwD6nrLCYlctLS0REXH44YfvcZu2trZoa2sr3S4UChERUSwWo1gs7svhgQRaW1uT/Urz9Tfa4oF1z0TNoatjyOCqfd7fSSedFNXV1QlmBuyrrr5mdzssduzYEXPmzInJkyfHqaeeusftFi1aFAsXLuw0vmLFCj8woBd45plnYt68eUn3+X8T7Wfx4sVxwgknJNobsC9aW1u7tF0uy7KsOwf47Gc/G8uXL4///u//jmOOOWaP2+1uxaKhoSG2bNkStbW13Tk0kFDKFYunNrXElct+HtdfMDZGH123z/uzYgG9R6FQiPr6+mhpadnr63e3Vixmz54d//mf/xn33XffXqMiIqKqqiqqqjoviebz+cjn8905PJBQXV1dnHnmmUn2VfnLV6PqwfY4dcL7YsJxRyTZJ9A7dPU1u6ywyLIsLrvssli2bFmsXLkyRo4c2a3JAQAHp7LCYtasWXHrrbfGv//7v0dNTU289NJLEfHbf/EMHjy4RyYIAPQdZb2PxZIlS6KlpSWmTJkSRx99dOnP7bff3lPzAwD6kLJ/FQIAsCc+KwQASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZMoOi/vuuy9mzJgRw4cPj1wuF3feeWcPTAsA6IvKDovt27fHaaedFjfffHNPzAcA6MMqyn3A+eefH+eff35PzAUA6OPKDotytbW1RVtbW+l2oVCIiIhisRjFYrGnDw8HrY2vbo/tbW8f6Gl08NRLLR3+21scUjUwRhxxyIGeBvRpXX3N7vGwWLRoUSxcuLDT+IoVK6K6urqnDw8Hpc1vRFz7WI+fvt32hWVPHOgpdHLVhLfiyMEHehbQd7W2tnZpux7/yTR//vyYO3du6XahUIiGhoaYNm1a1NbW9vTh4aD0sxcLEY+tjhv+aFycOLT3/Et8+5ttcdf/WxP/5wNnxCGDqg70dCIiYsMr2+PzP1wXZzS+P04Z7mcOdNfO3zi8mx4Pi6qqqqiq6vwDJp/PRz6f7+nDw0GpouK3p+7JR9fFqe+pO8Cz+Z1isRhbfhFx5vFDe835vfO5qqio6DVzgr6oq+eP97EAAJIpe8Xi9ddfjw0bNpRuP/fcc/HYY4/F4YcfHscee2zSyQEAfUvZYfHwww/HBz/4wdLtnddPXHzxxbF06dJkEwMA+p6yw2LKlCmRZVlPzAUA6ONcYwEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMt0Ki5tvvjlGjBgRgwYNirPOOiseeuih1PMCAPqgssPi9ttvj7lz58aCBQvikUceidNOOy0+8pGPxObNm3tifgBAH1J2WHzjG9+ISy65JGbOnBljx46Nb3/721FdXR3/+I//2BPzAwD6kIpyNm5vb4+1a9fG/PnzS2MDBgyI8847Lx588MHdPqatrS3a2tpKtwuFQkREFIvFKBaL3Zkz9Hvb3miLXEUh7n5qTWzYesg+7evNtjdj06+eTzKvt9/aERs2PB1Pv/WbGFix75dwHX3MsTGoatA+7eOFrW9ErqIQb731lp85sA+6ev6UFRZbtmyJt99+O4YNG9ZhfNiwYfGLX/xit49ZtGhRLFy4sNP4ihUrorq6upzDA//rwZdzkT/0p7H0+Xsi0jRBOkdF3P96on29lmY3+UM/HGserI5fDk6zP+iPWltbu7RdWWHRHfPnz4+5c+eWbhcKhWhoaIhp06ZFbW1tTx8eDkpnb2+PkeveE3U1fxSDKgbu0756YsXixBNH9ZoVi4iIo2uGxvuGH7fP+4H+bOdvHN5NWWFRX18fAwcOjJdffrnD+MsvvxxHHXXUbh9TVVUVVVVVncbz+Xzk8/lyDg/8r2GH5uMzHzg93Q4T7apYLEZTU1NMnz7d+Q0Hma6e02X9k6KysjJOP/30uOeee0pjO3bsiHvuuScaGxvLmyEAcNAp+1chc+fOjYsvvjgmTpwYZ555Ztx4442xffv2mDlzZk/MDwDoQ8oOiwsvvDBeeeWVuPrqq+Oll16KCRMmxF133dXpgk4AoP/p1sWbs2fPjtmzZ6eeCwDQx/msEAAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIJke/9j0XWVZFhFd//hVoO8oFovR2toahULBp5vCQWbn6/bO1/E92e9hsW3btoiIaGho2N+HBgD20bZt26Kurm6P9+eyd0uPxHbs2BEvvvhi1NTURC6X25+HBnpYoVCIhoaGeOGFF6K2tvZATwdIKMuy2LZtWwwfPjwGDNjzlRT7PSyAg1ehUIi6urpoaWkRFtBPuXgTAEhGWAAAyQgLIJmqqqpYsGBBVFVVHeipAAeIaywAgGSsWAAAyQgLACAZYQEAJCMsoBdYuXJl5HK5eO211/rVsYGDj7CAA2DKlCkxZ86cAz2NJPYWJiNGjIgbb7yx7H3ecccdMWXKlKirq4shQ4bE+PHj45prronf/OY3+z7hMnz5y1+OCRMm7NdjQl8nLIBe5aqrrooLL7wwzjjjjFi+fHmsX78+Fi9eHI8//nj80z/904GeHvAuhAXsZ5/61Kdi1apVcdNNN0Uul4tcLhcbN26MiIi1a9fGxIkTo7q6OiZNmhRPPvlkh8d99KMf7bCvOXPmxJQpU0q3p0yZEpdddlnMmTMnDjvssBg2bFjccsstsX379pg5c2bU1NTEiSeeGMuXL+80r/vvvz/Gjx8fgwYNirPPPjvWr19fuu+Xv/xlzJgxIw477LA45JBD4pRTTommpqayvu+NGzdGLpeL2267LSZNmhSDBg2KU089NVatWlXa5qGHHoqvfe1rsXjx4rj++utj0qRJMWLEiJg6dWrccccdcfHFF5e2XbJkSZxwwglRWVkZJ510Uofo2Hmsxx57rDT22muvRS6Xi5UrV0bE71Za7rnnnt0+50uXLo2FCxfG448/Xvp7Wrp0aVnfM/RHwgL2s5tuuikaGxvjkksuiU2bNsWmTZtKn/Z71VVXxeLFi+Phhx+OioqK+PM///Oy9//9738/6uvr46GHHorLLrssPvvZz8bHP/7xmDRpUjzyyCMxbdq0uOiii6K1tbXD46688spYvHhxrFmzJoYOHRozZsyIYrEYERGzZs2Ktra2uO+++2LdunXx9a9/PYYMGdKt7//KK6+MefPmxaOPPhqNjY0xY8aMePXVVyMi4l/+5V9iyJAhcemll+72sYceemhERCxbtiyuuOKKmDdvXqxfvz4+85nPxMyZM+Pee+8tez57es4vvPDCmDdvXpxyyimlv6cLL7ywW98z9CfCAvazurq6qKysjOrq6jjqqKPiqKOOioEDB0ZExLXXXhvnnntujB07Nv76r/86HnjggXjzzTfL2v9pp50WX/rSl2LUqFExf/78GDRoUNTX18cll1wSo0aNiquvvjpeffXV+J//+Z8Oj1uwYEFMnTo1xo0bF9///vfj5ZdfjmXLlkVExPPPPx+TJ0+OcePGxfHHHx+///u/H+ecc063vv/Zs2fHxz72sRgzZkwsWbIk6urq4rvf/W5ERDz99NNx/PHHRz6f3+s+brjhhvjUpz4Vl156aYwePTrmzp0bf/iHfxg33HBD2fPZ03M+ePDgGDJkSFRUVJT+ngYPHtyt7xn6E2EBvcj48eNLXx999NEREbF58+Zu72PgwIFxxBFHxLhx40pjw4YN2+1+GxsbS18ffvjhcdJJJ8UTTzwRERGXX355fPWrX43JkyfHggULOkVJOd55nIqKipg4cWLpOF19I+AnnngiJk+e3GFs8uTJpf2UI8VzDvyOsIBe5J3/Us/lchERsWPHjoiIGDBgQKcX3p2/qtjTPnbuZ2/77YpPf/rT8eyzz8ZFF10U69ati4kTJ8bf/u3fRkSUPh69paWl0+Nee+21qKur6/JxRo8eHc8+++xuv69yDBjw2x9t73y+9rTPfX1ugI6EBRwAlZWV8fbbb5f1mKFDh8amTZs6jL3z4sR9tXr16tLXW7dujaeeeirGjBlTGmtoaIi/+qu/ih/96Ecxb968uOWWWyIiYtSoUTFgwIBYu3Zth/09++yz0dLSEqNHj97jcd56661Yu3Zt6Th/8id/Eq+//np861vf2u0cd/4vrWPGjIn777+/w333339/jB07NiJ++1xFRIfnqzvPVXf+nqC/qzjQE4D+aMSIEfHTn/40Nm7cGEOGDOnSv5A/9KEPxfXXXx8/+MEPorGxMf75n/851q9fH+9973uTzOmaa66JI444IoYNGxZXXXVV1NfXl/4vlDlz5sT5558fo0ePjq1bt8a9995bioGampr49Kc/HfPmzYuKiooYN25cvPDCC/HFL34xzj777Jg0aVKH49x8880xatSoGDNmTHzzm9+MrVu3li6YPOuss+ILX/hCzJs3L37961/HBRdcEMOHD48NGzbEt7/97Xj/+98fV1xxRVx55ZXxx3/8x/He9743zjvvvPjxj38cP/rRj+InP/lJREQMHjw4zj777Ljuuuti5MiRsXnz5vjSl75U9nMyYsSIeO655+Kxxx6LY445JmpqanxyK7ybDNjvnnzyyezss8/OBg8enEVE9r3vfS+LiGzr1q2lbR599NEsIrLnnnuuNHb11Vdnw4YNy+rq6rLPfe5z2ezZs7Nzzz23dP+5556bXXHFFR2Oddxxx2Xf/OY3O4xFRLZs2bIsy7Ls3nvvzSIi+/GPf5ydcsopWWVlZXbmmWdmjz/+eGn72bNnZyeccEJWVVWVDR06NLvooouyLVu2lO5/4403sgULFmQnn3xyNnjw4GzkyJHZX/7lX2avvPJKaZvnnnsui4js1ltvzc4888yssrIyGzt2bPZf//VfnZ6f22+/PTvnnHOympqa7JBDDsnGjx+fXXPNNR2en29961vZ8ccfn+Xz+Wz06NHZD37wgw77+PnPf541NjZmgwcPziZMmJCtWLEii4js3nvv7fB97+05f/PNN7OPfexj2aGHHlr6ewL2zsemA/vFxo0bY+TIkfHoo496N0s4iLnGAgBIRlgAAMn4VQgAkIwVCwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIJn/D+RrMZ39+R+jAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(column=['thumbsUpCount'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "906af3bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assuming 'data' is your skewed column\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.distplot(df.thumbsUpCount, hist=False, kde_kws={\"shade\": True, \"linewidth\": 3})\n",
    "plt.axvline(df.thumbsUpCount.mean(), color='red', linestyle='--', label='Mean')\n",
    "plt.axvline(df.thumbsUpCount.median(), color='green', linestyle='--', label='Median')\n",
    "plt.axvline(df.thumbsUpCount.quantile(0.25), color='blue', linestyle='--', label='Q1')\n",
    "plt.axvline(df.thumbsUpCount.quantile(0.75), color='purple', linestyle='--', label='Q3')\n",
    "plt.title('Density Thumbs count with Checkpoints')\n",
    "plt.xlabel('Value')\n",
    "plt.ylabel('Density')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "51f55f23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "palette = sns.color_palette(\"mako\", as_cmap=False)\n",
    "sns.scatterplot(x=\"score\", y=\"thumbsUpCount\", data=df,hue=\"score\",palette=palette)\n",
    "plt.xlabel(\"Scores-->\")\n",
    "plt.ylabel(\"Thumbs Up-->\")\n",
    "plt.title(\"Scatter Plot: Score vs. Thumbs Up\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f90adf2",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}