17KEDA.ipynb

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              "                                                 URL         ID  \\\n",
              "0   https://apps.apple.com/us/app/sudoku/id284921427  284921427   \n",
              "1  https://apps.apple.com/us/app/reversi/id284926400  284926400   \n",
              "2  https://apps.apple.com/us/app/morocco/id284946595  284946595   \n",
              "3  https://apps.apple.com/us/app/sudoku-free/id28...  285755462   \n",
              "4  https://apps.apple.com/us/app/senet-deluxe/id2...  285831220   \n",
              "\n",
              "            Name Subtitle                                           Icon URL  \\\n",
              "0         Sudoku      NaN  https://is2-ssl.mzstatic.com/image/thumb/Purpl...   \n",
              "1        Reversi      NaN  https://is4-ssl.mzstatic.com/image/thumb/Purpl...   \n",
              "2        Morocco      NaN  https://is5-ssl.mzstatic.com/image/thumb/Purpl...   \n",
              "3  Sudoku (Free)      NaN  https://is3-ssl.mzstatic.com/image/thumb/Purpl...   \n",
              "4   Senet Deluxe      NaN  https://is1-ssl.mzstatic.com/image/thumb/Purpl...   \n",
              "\n",
              "   Average User Rating  User Rating Count  Price In-app Purchases  \\\n",
              "0                  4.0             3553.0   2.99              NaN   \n",
              "1                  3.5              284.0   1.99              NaN   \n",
              "2                  3.0             8376.0   0.00              NaN   \n",
              "3                  3.5           190394.0   0.00              NaN   \n",
              "4                  3.5               28.0   2.99              NaN   \n",
              "\n",
              "                                         Description  \\\n",
              "0  Join over 21,000,000 of our fans and download ...   \n",
              "1  The classic game of Reversi, also known as Oth...   \n",
              "2  Play the classic strategy game Othello (also k...   \n",
              "3  Top 100 free app for over a year.\\nRated \"Best...   \n",
              "4  \"Senet Deluxe - The Ancient Game of Life and A...   \n",
              "\n",
              "                  Developer Age Rating  \\\n",
              "0  Mighty Mighty Good Games         4+   \n",
              "1          Kiss The Machine         4+   \n",
              "2               Bayou Games         4+   \n",
              "3  Mighty Mighty Good Games         4+   \n",
              "4           RoGame Software         4+   \n",
              "\n",
              "                                           Languages        Size  \\\n",
              "0  DA, NL, EN, FI, FR, DE, IT, JA, KO, NB, PL, PT...  15853568.0   \n",
              "1                                                 EN  12328960.0   \n",
              "2                                                 EN    674816.0   \n",
              "3  DA, NL, EN, FI, FR, DE, IT, JA, KO, NB, PL, PT...  21552128.0   \n",
              "4  DA, NL, EN, FR, DE, EL, IT, JA, KO, NO, PT, RU...  34689024.0   \n",
              "\n",
              "  Primary Genre                             Genres Original Release Date  \\\n",
              "0         Games            Games, Strategy, Puzzle            11/07/2008   \n",
              "1         Games             Games, Strategy, Board            11/07/2008   \n",
              "2         Games             Games, Board, Strategy            11/07/2008   \n",
              "3         Games            Games, Strategy, Puzzle            23/07/2008   \n",
              "4         Games  Games, Strategy, Board, Education            18/07/2008   \n",
              "\n",
              "  Current Version Release Date  \n",
              "0                   30/05/2017  \n",
              "1                   17/05/2018  \n",
              "2                    5/09/2017  \n",
              "3                   30/05/2017  \n",
              "4                   22/07/2018  "
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              "      <td>1.99</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>11/07/2008</td>\n",
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              "      <td>https://apps.apple.com/us/app/morocco/id284946595</td>\n",
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              "      <td>11/07/2008</td>\n",
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              "summary": "{\n  \"name\": \"app_storeDF\",\n  \"rows\": 17007,\n  \"fields\": [\n    {\n      \"column\": \"URL\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          \"https://apps.apple.com/us/app/city-bus-tycoon-2-free-traffic-giant-simulation-game/id725198764\",\n          \"https://apps.apple.com/us/app/erics-sudoku-classic-puzzles/id555050672\",\n          \"https://apps.apple.com/us/app/flap-flag-hd-get-to-know-national-flag-by-the-game/id1249614383\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 299967589,\n        \"min\": 284921427,\n        \"max\": 1475076711,\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          725198764,\n          555050672,\n          1249614383\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          \"City Bus Tycoon 2 Free - Traffic Giant Simulation Game\",\n          \"\\\"Eric's Sudoku \\\\u2013Classic Puzzles\\\"\",\n          \"Flap Flag HD-Get to Know National flag by the game\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Subtitle\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5010,\n        \"samples\": [\n          \"Play & Create Picture Puzzles\",\n          \"Construction  city road sim\",\n          \"Idle Clicker Game\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Icon URL\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          \"https://is3-ssl.mzstatic.com/image/thumb/Purple4/v4/84/4f/82/844f82b4-2ed7-32b5-7ec3-8d9068a4fffb/source/512x512bb.jpg\",\n          \"https://is3-ssl.mzstatic.com/image/thumb/Purple128/v4/40/c4/af/40c4af32-0618-19ce-a4ed-c9cdbf8917b9/source/512x512bb.jpg\",\n          \"https://is4-ssl.mzstatic.com/image/thumb/Purple118/v4/92/7f/1f/927f1f05-74d5-68d7-d111-a964c7b537ff/source/512x512bb.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Average User Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7514275138017559,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          5.0,\n          3.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"User Rating Count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 42322.560510274896,\n        \"min\": 5.0,\n        \"max\": 3032734.0,\n        \"num_unique_values\": 1792,\n        \"samples\": [\n          248.0,\n          6381.0,\n          1628.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.835731925030247,\n        \"min\": 0.0,\n        \"max\": 179.99,\n        \"num_unique_values\": 24,\n        \"samples\": [\n          9.99,\n          14.99,\n          2.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-app Purchases\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3803,\n        \"samples\": [\n          \"0.99, 1.99, 3.99, 7.99, 15.99, 31.99, 64.99, 3.99\",\n          \"1.99, 4.99, 0.99, 4.99, 4.99, 9.99, 4.99, 0.99, 4.99, 9.99\",\n          \"4.99, 3.99, 3.99, 0.99, 1.99\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16473,\n        \"samples\": [\n          \"Move over Candy Crush...for the BEST match game in the App Store! With over 200+ levels to master that increase in difficulty to make you a true match addict!\\\\n\\\\n\\\\n- Fun Addictive Gameplay!\\\\n- 200+ levels to master and complete!\\\\n- Very cool game design!\\\\n- For kids of all ages!\\\\n\\\\nDownload it NOW!\",\n          \"\\\"Castleclysm (noun) - A Tower Defense of any absurd upheaval, especially one of a dramatic social or political nature occurring within a castle interior.\\\\n\\\\nSo there\\\\u2019s a big Castle, a bunch of really angry peasants, a very irresponsible King, and some out-of-place Magic Casters. Come on! How bad could it be?\\\\n\\\\nIn this unique Tower Defense, embark on a medieval journey of many tales: An insolent King, a grand Castle, angry peasants, and the Magic Casters that find themselves in bizarre situations. Play as one of the Magic Casters and follow their tales of drama, comedy, and mayhem. Deal with mobs of angry peasants that all wish to destroy the Castle... with you inside! It\\\\u2019s castleclysm! Do everything you can! Defend yourself with the Castle's many valuable objects--treasure chests, chandeliers, the King's throne and more \\\\u2014 or conjure your many crowd sweeping spells to rid the hall of different types of intruders that want you gone! Can you survive the perpetual mayhem known as Castleclysm?\\\\n\\\\n- OBJECT SMASHING MAYHEM\\\\nA Tower Defense like no other! Use anything you see to defend yourself\\\\u2026yes\\\\u2026this also includes that annoying jester! Grab any object, find your target and let fly!\\\\n\\\\n- IT'S YOU AGAINST THE KINGDOM!\\\\nDefend yourself against villagers, goblins, elves, dragons, and more.\\\\n\\\\n- THEY GOT NUMBERS! YOU GOT SPELLS!\\\\nCollect mana shards to cast unique spells to tackle difficult foes. Drop an anvil to stun groups of intruders or raise an ice wall to slow the crowd. Cast a variety of crowd controlling spells and watch the intruders flee in terror!\\\\n\\\\n- MANY ITEMS TO UTILIZE\\\\nFrom spell scrolls, magical accessories, and consumable alchemic items, equip the many selections of items to improve your spells or add addition spells to your arsenal of chaos.\\\\n\\\\n- THEY WILL DO ANYTHING TO GET TO YOU\\\\nUse objects and spells wisely; a simple blunder may have far-reaching consequences in your strategy. Utilizing chickens to fly or strapping explosives to blow themselves up, the intruders are cunning and desperate. You must be crafty and resourceful to survive. Your abilities will be tested!\\\\n\\\\n- TALES OF THE MANY\\\\nPlay as different magical characters, each with their own dramatic tale! Survive the chaos!\\\\n\\\\n- YOUR SKILLS WILL BE CHALLENGED!\\\\nMaster the characters and challenge others to compete on the leader board!\\\"\",\n          \"Popul\\\\xe1rn\\\\xed logick\\\\xe1 hra 2048 je nyn\\\\xed kone\\\\u010dn\\\\u011b dostupn\\\\xe1 pro tv\\\\u016fj iPhone! Jednodu\\\\u0161e spojuj dla\\\\u017edice se stejn\\\\xfdmi \\\\u010d\\\\xedsly a sleduj, jak tvoje sk\\\\xf3re roste. \\\\u010c\\\\xedm v\\\\xedce bod\\\\u016f nasb\\\\xedr\\\\xe1\\\\u0161, t\\\\xedm cenn\\\\u011bj\\\\u0161\\\\xed achievementy z\\\\xedsk\\\\xe1\\\\u0161 do sv\\\\xe9 sb\\\\xedrky. Sleduj, jak tvoje nejlep\\\\u0161\\\\xed sk\\\\xf3re obstoj\\\\xed ve srovn\\\\xe1n\\\\xed s tv\\\\xfdmi p\\\\u0159\\\\xe1teli. Ale pozor, cel\\\\xe1 hra je velmi n\\\\xe1vykov\\\\xe1!\\\\nS 2048 for iOS m\\\\u016f\\\\u017ee\\\\u0161 sv\\\\xe9 sk\\\\xf3re vylep\\\\u0161ovat, kdekoliv t\\\\u011b napadne. Pus\\\\u0165 se do toho hned te\\\\u010f. Je to ZDARMA!\\\\nFeatures\\\\nSv\\\\u011b\\\\u017e\\\\xed vzhled\\\\nOvl\\\\xe1d\\\\xe1n\\\\xed hry pomoc\\\\xed jednoduch\\\\xfdch gest\\\\nSd\\\\xedlen\\\\xed sk\\\\xf3re na Facebook nebo Twitter\\\\nAchievmenty za postup ve h\\\\u0159e\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Developer\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8693,\n        \"samples\": [\n          \"DoggyBag\",\n          \"Stanga Games\",\n          \"\\\\u5b89\\\\u5fbd\\\\u68ee\\\\u5ea6\\\\u79d1\\\\u6280\\\\u6709\\\\u9650\\\\u516c\\\\u53f8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"9+\",\n          \"17+\",\n          \"4+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Languages\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 990,\n        \"samples\": [\n          \"AR, BG, EN, FR, DE, EL, IT, PT, RO, RU, ES, TR, UK\",\n          \"AR, EN, FR, DE, IT, JA, KO, SE, FA, PL, PT, RU, ZH, ES, TH, ZH, TR, UK\",\n          \"EN, FR, DE, IT, JA, KO, PL, PT, RU, ZH, ES\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 203647677.84814358,\n        \"min\": 51328.0,\n        \"max\": 4005591040.0,\n        \"num_unique_values\": 15794,\n        \"samples\": [\n          136957952.0,\n          105713664.0,\n          6802432.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Primary Genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"Games\",\n          \"Stickers\",\n          \"Health & Fitness\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1004,\n        \"samples\": [\n          \"Games, Strategy, Board, Business\",\n          \"Utilities, Card, Games, Strategy\",\n          \"Games, Strategy, Puzzle, Music\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Original Release Date\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3084,\n        \"samples\": [\n          \"23/07/2014\",\n          \"18/07/2017\",\n          \"29/04/2016\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Current Version Release Date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2512,\n        \"samples\": [\n          \"26/08/2015\",\n          \"18/02/2018\",\n          \"27/06/2015\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "#Load Data Frame\n",
        "app_storeDF = pd.read_csv('appstore_games.csv')\n",
        "app_storeDF.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Selecting the requested columns\n",
        "selected_columns = app_storeDF[['ID', 'Name','User Rating Count', 'Price', 'In-app Purchases', 'Average User Rating', 'Age Rating',\n",
        "                         'Languages', 'Size', 'Primary Genre', 'Original Release Date',\n",
        "                         'Current Version Release Date']]\n",
        "\n",
        "# Display the first few rows of the filtered dataframe\n",
        "selected_columns.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "yI25RnoXtW1Z",
        "outputId": "3953da49-5a32-4f04-dd64-a26dedce93cc"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          ID           Name  User Rating Count  Price In-app Purchases  \\\n",
              "0  284921427         Sudoku             3553.0   2.99              NaN   \n",
              "1  284926400        Reversi              284.0   1.99              NaN   \n",
              "2  284946595        Morocco             8376.0   0.00              NaN   \n",
              "3  285755462  Sudoku (Free)           190394.0   0.00              NaN   \n",
              "4  285831220   Senet Deluxe               28.0   2.99              NaN   \n",
              "\n",
              "   Average User Rating Age Rating  \\\n",
              "0                  4.0         4+   \n",
              "1                  3.5         4+   \n",
              "2                  3.0         4+   \n",
              "3                  3.5         4+   \n",
              "4                  3.5         4+   \n",
              "\n",
              "                                           Languages        Size  \\\n",
              "0  DA, NL, EN, FI, FR, DE, IT, JA, KO, NB, PL, PT...  15853568.0   \n",
              "1                                                 EN  12328960.0   \n",
              "2                                                 EN    674816.0   \n",
              "3  DA, NL, EN, FI, FR, DE, IT, JA, KO, NB, PL, PT...  21552128.0   \n",
              "4  DA, NL, EN, FR, DE, EL, IT, JA, KO, NO, PT, RU...  34689024.0   \n",
              "\n",
              "  Primary Genre Original Release Date Current Version Release Date  \n",
              "0         Games            11/07/2008                   30/05/2017  \n",
              "1         Games            11/07/2008                   17/05/2018  \n",
              "2         Games            11/07/2008                    5/09/2017  \n",
              "3         Games            23/07/2008                   30/05/2017  \n",
              "4         Games            18/07/2008                   22/07/2018  "
            ],
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              "      <td>284921427</td>\n",
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              "      <td>284946595</td>\n",
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              "      <td>674816.0</td>\n",
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              "      <td>5/09/2017</td>\n",
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              "      <th>3</th>\n",
              "      <td>285755462</td>\n",
              "      <td>Sudoku (Free)</td>\n",
              "      <td>190394.0</td>\n",
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              "      <td>3.5</td>\n",
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              "      <td>21552128.0</td>\n",
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              "      <td>23/07/2008</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>285831220</td>\n",
              "      <td>Senet Deluxe</td>\n",
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              "      <td>34689024.0</td>\n",
              "      <td>Games</td>\n",
              "      <td>18/07/2008</td>\n",
              "      <td>22/07/2018</td>\n",
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              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0fef11b7-406d-4955-9f57-afe2b9d53062 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "selected_columns",
              "summary": "{\n  \"name\": \"selected_columns\",\n  \"rows\": 17007,\n  \"fields\": [\n    {\n      \"column\": \"ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 299967589,\n        \"min\": 284921427,\n        \"max\": 1475076711,\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          725198764,\n          555050672,\n          1249614383\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16847,\n        \"samples\": [\n          \"City Bus Tycoon 2 Free - Traffic Giant Simulation Game\",\n          \"\\\"Eric's Sudoku \\\\u2013Classic Puzzles\\\"\",\n          \"Flap Flag HD-Get to Know National flag by the game\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"User Rating Count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 42322.560510274896,\n        \"min\": 5.0,\n        \"max\": 3032734.0,\n        \"num_unique_values\": 1792,\n        \"samples\": [\n          248.0,\n          6381.0,\n          1628.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.835731925030247,\n        \"min\": 0.0,\n        \"max\": 179.99,\n        \"num_unique_values\": 24,\n        \"samples\": [\n          9.99,\n          14.99,\n          2.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-app Purchases\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3803,\n        \"samples\": [\n          \"0.99, 1.99, 3.99, 7.99, 15.99, 31.99, 64.99, 3.99\",\n          \"1.99, 4.99, 0.99, 4.99, 4.99, 9.99, 4.99, 0.99, 4.99, 9.99\",\n          \"4.99, 3.99, 3.99, 0.99, 1.99\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Average User Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7514275138017559,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          5.0,\n          3.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"9+\",\n          \"17+\",\n          \"4+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Languages\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 990,\n        \"samples\": [\n          \"AR, BG, EN, FR, DE, EL, IT, PT, RO, RU, ES, TR, UK\",\n          \"AR, EN, FR, DE, IT, JA, KO, SE, FA, PL, PT, RU, ZH, ES, TH, ZH, TR, UK\",\n          \"EN, FR, DE, IT, JA, KO, PL, PT, RU, ZH, ES\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 203647677.84814358,\n        \"min\": 51328.0,\n        \"max\": 4005591040.0,\n        \"num_unique_values\": 15794,\n        \"samples\": [\n          136957952.0,\n          105713664.0,\n          6802432.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Primary Genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"Games\",\n          \"Stickers\",\n          \"Health & Fitness\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Original Release Date\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3084,\n        \"samples\": [\n          \"23/07/2014\",\n          \"18/07/2017\",\n          \"29/04/2016\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Current Version Release Date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2512,\n        \"samples\": [\n          \"26/08/2015\",\n          \"18/02/2018\",\n          \"27/06/2015\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check any null values in the dataset\n",
        "missing_values = selected_columns.isnull().sum()\n",
        "print(missing_values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AQXNb-7EzQM7",
        "outputId": "b45fdb8e-13ea-4eab-c074-ed5697467911"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ID                                 0\n",
            "Name                               0\n",
            "User Rating Count               9446\n",
            "Price                             24\n",
            "In-app Purchases                9324\n",
            "Average User Rating             9446\n",
            "Age Rating                         0\n",
            "Languages                         60\n",
            "Size                               1\n",
            "Primary Genre                      0\n",
            "Original Release Date              0\n",
            "Current Version Release Date       0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Drop all rows with null values\n",
        "selected_columns = selected_columns.dropna()\n",
        "missing_values_2 = selected_columns.isnull().sum()\n",
        "print(missing_values_2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lqdDZXGBz1JA",
        "outputId": "58377262-68b7-41a0-fc75-55534b5c5de2"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ID                              0\n",
            "Name                            0\n",
            "User Rating Count               0\n",
            "Price                           0\n",
            "In-app Purchases                0\n",
            "Average User Rating             0\n",
            "Age Rating                      0\n",
            "Languages                       0\n",
            "Size                            0\n",
            "Primary Genre                   0\n",
            "Original Release Date           0\n",
            "Current Version Release Date    0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check data types of each column\n",
        "print(selected_columns.dtypes)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0uMulMLzvaTP",
        "outputId": "a88355b9-18bc-47bb-dd3a-d49f5a04b426"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ID                                int64\n",
            "Name                             object\n",
            "User Rating Count               float64\n",
            "Price                           float64\n",
            "In-app Purchases                 object\n",
            "Average User Rating             float64\n",
            "Age Rating                       object\n",
            "Languages                        object\n",
            "Size                            float64\n",
            "Primary Genre                    object\n",
            "Original Release Date            object\n",
            "Current Version Release Date     object\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Coerce a specific column into string type\n",
        "selected_columns['In-app Purchases'] = selected_columns['In-app Purchases'].astype(str)\n",
        "print(selected_columns.dtypes)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LU8Cr3hrw3Vy",
        "outputId": "1e86a08a-18d8-496c-f646-90436033d4ea"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ID                                int64\n",
            "Name                             object\n",
            "User Rating Count               float64\n",
            "Price                           float64\n",
            "In-app Purchases                 object\n",
            "Average User Rating             float64\n",
            "Age Rating                       object\n",
            "Languages                        object\n",
            "Size                            float64\n",
            "Primary Genre                    object\n",
            "Original Release Date            object\n",
            "Current Version Release Date     object\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert the column from object type to a list of floats\n",
        "# Function to convert in-app purchase string to a list of floats, handling missing values\n",
        "def convert_in_app_purchases_to_list(x):\n",
        "    if pd.isnull(x) or x == '':\n",
        "        return []\n",
        "    return [float(price) for price in x.split(', ')]\n",
        "\n",
        "# Apply conversion to the 'In-app Purchases' column\n",
        "selected_columns['In-app Purchases'] = selected_columns['In-app Purchases'].apply(convert_in_app_purchases_to_list)\n",
        "print(selected_columns['In-app Purchases'])"
      ],
      "metadata": {
        "id": "rRBgFP_utg3N",
        "outputId": "f8993bb9-ab65-417e-a1f0-ce1b71c79f51",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5                                                   [1.99]\n",
            "15                                                  [0.99]\n",
            "16                                                  [0.99]\n",
            "18              [1.99, 0.99, 1.99, 0.99, 4.99, 1.99, 1.99]\n",
            "19                                      [0.99, 0.99, 0.99]\n",
            "                               ...                        \n",
            "16828                                               [2.99]\n",
            "16842     [4.99, 1.99, 9.99, 4.99, 4.99, 4.99, 4.99, 4.99]\n",
            "16856    [1.99, 1.99, 1.99, 2.99, 5.99, 3.99, 5.99, 2.9...\n",
            "16863                                               [9.99]\n",
            "16932                                               [0.99]\n",
            "Name: In-app Purchases, Length: 4618, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Lambda functions\n",
        "selected_columns['In-App-Q1'] = selected_columns['In-app Purchases'].apply(lambda x: 1 if any(price < 25 for price in x) else 0)\n",
        "selected_columns['In-App-Q2'] = selected_columns['In-app Purchases'].apply(lambda x: 1 if any(25 <= price < 50 for price in x) else 0)\n",
        "selected_columns['In-App-Q3'] = selected_columns['In-app Purchases'].apply(lambda x: 1 if any(50 <= price < 75 for price in x) else 0)\n",
        "selected_columns['In-App-Q4'] = selected_columns['In-app Purchases'].apply(lambda x: 1 if any(75 <= price < 100 for price in x) else 0)\n",
        "\n",
        "# Display the first few rows to verify the new columns, along with the 'In-app Purchases' list for comparison\n",
        "selected_columns[['ID', 'Name', 'In-app Purchases', 'In-App-Q1', 'In-App-Q2', 'In-App-Q3', 'In-App-Q4']].head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "yNp-LqAuzRC2",
        "outputId": "228ef6e9-bbdb-4e28-bde3-1a0813528df0"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           ID                            Name  \\\n",
              "5   286210009  Sudoku - Classic number puzzle   \n",
              "15  289217958        Awele/Oware - Mancala HD   \n",
              "16  289217958        Awele/Oware - Mancala HD   \n",
              "18  290493286                    Catcha Mouse   \n",
              "19  290614255     Cool Sudoku, Jigsaw, Killer   \n",
              "\n",
              "                              In-app Purchases  In-App-Q1  In-App-Q2  \\\n",
              "5                                       [1.99]          1          0   \n",
              "15                                      [0.99]          1          0   \n",
              "16                                      [0.99]          1          0   \n",
              "18  [1.99, 0.99, 1.99, 0.99, 4.99, 1.99, 1.99]          1          0   \n",
              "19                          [0.99, 0.99, 0.99]          1          0   \n",
              "\n",
              "    In-App-Q3  In-App-Q4  \n",
              "5           0          0  \n",
              "15          0          0  \n",
              "16          0          0  \n",
              "18          0          0  \n",
              "19          0          0  "
            ],
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              "  <div id=\"df-36423f24-ac55-450e-a1f8-a0e597280b7e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "  <div class=\"colab-df-container\">\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-36423f24-ac55-450e-a1f8-a0e597280b7e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-36423f24-ac55-450e-a1f8-a0e597280b7e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-6d85cc36-766b-442b-9767-a1e19f4a6c9b\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6d85cc36-766b-442b-9767-a1e19f4a6c9b')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6d85cc36-766b-442b-9767-a1e19f4a6c9b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"selected_columns[['ID', 'Name', 'In-app Purchases', 'In-App-Q1', 'In-App-Q2', 'In-App-Q3', 'In-App-Q4']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1774911,\n        \"min\": 286210009,\n        \"max\": 290614255,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          289217958,\n          290614255,\n          286210009\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Awele/Oware - Mancala HD\",\n          \"Cool Sudoku, Jigsaw, Killer\",\n          \"Sudoku - Classic number puzzle\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-app Purchases\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find the row(s) with the highest 'In-App-Q1' value in the dataset\n",
        "highest_in_app_q1 = selected_columns[selected_columns['In-App-Q1'] == selected_columns['In-App-Q1'].max()]\n",
        "\n",
        "\n",
        "# Display the row(s) with the highest 'In-App-Q1' value\n",
        "highest_in_app_q1[['ID', 'Name', 'In-app Purchases', 'In-App-Q1', 'In-App-Q2', 'In-App-Q3', 'In-App-Q4']].head()\n"
      ],
      "metadata": {
        "id": "1KI4t-rKuc-M",
        "outputId": "0dcc64c8-b19c-4105-d40d-416962b8788f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           ID                            Name  \\\n",
              "5   286210009  Sudoku - Classic number puzzle   \n",
              "15  289217958        Awele/Oware - Mancala HD   \n",
              "16  289217958        Awele/Oware - Mancala HD   \n",
              "18  290493286                    Catcha Mouse   \n",
              "19  290614255     Cool Sudoku, Jigsaw, Killer   \n",
              "\n",
              "                              In-app Purchases  In-App-Q1  In-App-Q2  \\\n",
              "5                                       [1.99]          1          0   \n",
              "15                                      [0.99]          1          0   \n",
              "16                                      [0.99]          1          0   \n",
              "18  [1.99, 0.99, 1.99, 0.99, 4.99, 1.99, 1.99]          1          0   \n",
              "19                          [0.99, 0.99, 0.99]          1          0   \n",
              "\n",
              "    In-App-Q3  In-App-Q4  \n",
              "5           0          0  \n",
              "15          0          0  \n",
              "16          0          0  \n",
              "18          0          0  \n",
              "19          0          0  "
            ],
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              "<style scoped>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-92436eb3-91aa-4943-adc9-e104d13e4b9d')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-92436eb3-91aa-4943-adc9-e104d13e4b9d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-92436eb3-91aa-4943-adc9-e104d13e4b9d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
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              "        element.appendChild(docLink);\n",
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              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1782af19-a39a-438c-a11d-935fed925026 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"highest_in_app_q1[['ID', 'Name', 'In-app Purchases', 'In-App-Q1', 'In-App-Q2', 'In-App-Q3', 'In-App-Q4']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1774911,\n        \"min\": 286210009,\n        \"max\": 290614255,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          289217958,\n          290614255,\n          286210009\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Awele/Oware - Mancala HD\",\n          \"Cool Sudoku, Jigsaw, Killer\",\n          \"Sudoku - Classic number puzzle\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-app Purchases\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"In-App-Q4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Histogram for \"Average User Rating\"\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.hist(selected_columns['Average User Rating'].dropna(), bins=10, color='lightgreen')\n",
        "plt.title('Histogram of Average User Rating')\n",
        "plt.xlabel('Average User Rating')\n",
        "plt.ylabel('Frequency')\n",
        "\n",
        "# Histogram for \"Price\"\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.hist(selected_columns['Price'].dropna(), bins=50, color='orange')\n",
        "plt.title('Histogram of Price')\n",
        "plt.xlabel('Price ($)')\n",
        "plt.ylabel('Frequency')\n",
        "plt.yscale('log')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "NttHzvHDBlG8",
        "outputId": "0973a10f-026c-4b67-9d0c-004785badbd4"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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8uGw2m2w2m3Jycq7qOAAAoPIhlEKlNu/kPFeXAABAqejatasM4/If7TxmzBiNGTOmVM9rtVpltVplt9vl5+dXqscGAAAVG8+UAgAAAAAAgOkIpQAAAAAAAGA6QikAAAAAAACYjlAKAAAAAAAApiOUAgAAQInZbDaFhYUpMjLS1aUAAIByhlAKAAAAJWa1WpWcnKyEhARXlwIAAMoZQikAAAAAAACYjlAKAAAAAAAApiOUAgAAAAAAgOk8XF0Ayr95J+e5ugQAAAAAAFDOVKo7pWw2mxo1aiRvb2917NhR27Ztc3VJAAAAAAAAlVKlCaWWL1+u2NhYTZ48WTt27FB4eLiio6N19OhRV5cGAABQbtlsNoWFhSkyMtLVpQAAgHKm0oRSs2fP1qhRozRixAiFhYVp/vz5qlq1qhYuXOjq0gAAAMotq9Wq5ORkJSQkuLoUAABQzlSKUOrcuXNKTExUjx49HOvc3NzUo0cPbd261YWVAQAAAAAAVE6V4kHnx48fV05OjgIDA53WBwYG6vvvv8/XPjs7W9nZ2Y7ljIwMSZLdbi+zGl87+VqZHRu41tjdy+57qaydtZ91dQkAiqisftbkzQcMwyiT45dXeeNRlvMlnSm7Q18TijJ2RR2DsrwOAIBrX1F+X5Th74qizpcqRShVXHFxcZo6dWq+9SEhIS6oBqh4ntbTri4BQCVQ1j9rTp8+LT8/vzI9R3ly+vRpScyXrsqoUvx6Ks1jAQAqJhN+V1xpvlQpQqmAgAC5u7srPT3daX16erqCgoLytZ84caJiY2Mdy7m5uTpx4oRq164ti8VS6vXZ7XaFhITol19+ka+vb6kf/1pCXyumytLXytJPib5WVPS1dBiGodOnTys4OLhUj1veBQcH65dfflGNGjWYL5UxxuJPjMWfGAtnjMefGIs/MRZ/KuuxKOp8qVKEUp6enoqIiNC6devUv39/SReDpnXr1mnMmDH52nt5ecnLy8tpXc2aNcu8Tl9f30rzjUFfK6bK0tfK0k+JvlZU9PXqcYdUfm5ubmrQoEGZn6cyff1eCWPxJ8biT4yFM8bjT4zFnxiLP5XlWBRlvlQpQilJio2NVUxMjNq3b68OHTpo7ty5ysrK0ogRI1xdGgAAAAAAQKVTaUKpgQMH6tixY5o0aZLS0tLUtm1brV69Ot/DzwEAAAAAAFD2Kk0oJUljxowp8O16rubl5aXJkyfne8tgRURfK6bK0tfK0k+JvlZU9BXlGdf0T4zFnxiLPzEWzhiPPzEWf2Is/nStjIXF4POMAQAAAAAAYDI3VxcAAAAAAACAyodQCgAAAAAAAKYjlAIAAAAAAIDpCKVMsHnzZvXr10/BwcGyWCxasWLFFffZuHGj2rVrJy8vLzVt2lSLFy8u8zqvVnH7uXHjRlkslnyvtLQ0cwq+CnFxcYqMjFSNGjVUt25d9e/fXykpKVfc7/3331eLFi3k7e2t1q1b6/PPPzeh2qtTkr4uXrw433X19vY2qeKSe+2119SmTRv5+vrK19dXUVFRWrVq1WX3KY/XtLj9LK/XsyAzZsyQxWLR448/ftl25fG6XqoofS2v13bKlCn56m7RosVl96kI17Qys9lsatSokby9vdWxY0dt27bN1SWVuaL8/j179qysVqtq166t6tWra8CAAUpPT3dRxeYp6OdbZRuL3377TUOHDlXt2rXl4+Oj1q1ba/v27Y7thmFo0qRJqlevnnx8fNSjRw/t37/fhRWXjZycHD377LNq3LixfHx81KRJE02fPl1/fWxyRR2LK/3bqyj9PnHihIYMGSJfX1/VrFlTI0eOVGZmpom9KD2XG4/z589rwoQJat26tapVq6bg4GANGzZMhw8fdjpGRRmP4vy7/JFHHpHFYtHcuXOd1ps5FoRSJsjKylJ4eLhsNluR2qempqpv377q1q2bkpKS9Pjjj+uhhx7SF198UcaVXp3i9jNPSkqKjhw54njVrVu3jCosPZs2bZLVatU333yj+Ph4nT9/Xj179lRWVlah+2zZskWDBg3SyJEjtXPnTvXv31/9+/fXnj17TKy8+ErSV0ny9fV1uq4///yzSRWXXIMGDTRjxgwlJiZq+/btuvXWW3XnnXdq7969BbYvr9e0uP2Uyuf1vFRCQoJef/11tWnT5rLtyut1/aui9lUqv9e2ZcuWTnV/9dVXhbatCNe0Mlu+fLliY2M1efJk7dixQ+Hh4YqOjtbRo0ddXVqZKsrv33HjxunTTz/V+++/r02bNunw4cO6++67XVh12Svs51tlGouTJ0/q5ptvVpUqVbRq1SolJyfr5ZdfVq1atRxtZs6cqX//+9+aP3++vv32W1WrVk3R0dE6e/asCysvfS+++KJee+01vfrqq9q3b59efPFFzZw5U6+88oqjTUUdiyv926so/R4yZIj27t2r+Ph4rVy5Ups3b9bo0aPN6kKputx4nDlzRjt27NCzzz6rHTt26MMPP1RKSoruuOMOp3YVZTyK+u/yjz76SN98842Cg4PzbTN1LAyYSpLx0UcfXbbNU089ZbRs2dJp3cCBA43o6OgyrKx0FaWfGzZsMCQZJ0+eNKWmsnT06FFDkrFp06ZC29x3331G3759ndZ17NjRePjhh8u6vFJVlL4uWrTI8PPzM6+oMlSrVi3jjTfeKHBbRbmmhnH5flaE63n69GmjWbNmRnx8vNGlSxdj7NixhbYt79e1OH0tr9d28uTJRnh4eJHbl/drWtl16NDBsFqtjuWcnBwjODjYiIuLc2FV5rv09++pU6eMKlWqGO+//76jzb59+wxJxtatW11VZpkq7OdbZRuLCRMmGLfcckuh23Nzc42goCBj1qxZjnWnTp0yvLy8jHfffdeMEk3Tt29f48EHH3Rad/fddxtDhgwxDKPyjMWl//YqSr+Tk5MNSUZCQoKjzapVqwyLxWL89ttvptVeForyb9Ft27YZkoyff/7ZMIyKOx6FjcWvv/5q1K9f39izZ48RGhpqzJkzx7HN7LHgTqlr0NatW9WjRw+nddHR0dq6dauLKipbbdu2Vb169XTbbbfp66+/dnU5JZKRkSFJ8vf3L7RNRbmuRemrJGVmZio0NFQhISFXvAvnWpSTk6Nly5YpKytLUVFRBbapCNe0KP2Uyv/1tFqt6tu3b77rVZDyfl2L01ep/F7b/fv3Kzg4WNddd52GDBmiQ4cOFdq2vF/TyuzcuXNKTEx0un5ubm7q0aNHpbt+l/7+TUxM1Pnz553GpkWLFmrYsGGFHZvCfr5VtrH45JNP1L59e917772qW7eubrzxRv3f//2fY3tqaqrS0tKcxsPPz08dO3ascONx0003ad26dfrhhx8kSbt27dJXX32l3r17S6pcY/FXRen31q1bVbNmTbVv397RpkePHnJzc9O3335res1my8jIkMViUc2aNSVVrvHIzc3VAw88oPHjx6tly5b5tps9Fh6lfkRctbS0NAUGBjqtCwwMlN1u1x9//CEfHx8XVVa66tWrp/nz56t9+/bKzs7WG2+8oa5du+rbb79Vu3btXF1ekeXm5urxxx/XzTffrFatWhXarrDrWh6eoZWnqH1t3ry5Fi5cqDZt2igjI0MvvfSSbrrpJu3du1cNGjQwseLi++677xQVFaWzZ8+qevXq+uijjxQWFlZg2/J8TYvTz/J8PSVp2bJl2rFjhxISEorUvjxf1+L2tbxe244dO2rx4sVq3ry5jhw5oqlTp6pTp07as2ePatSoka99eb6mld3x48eVk5NT4PX7/vvvXVSV+Qr6/ZuWliZPT0/HP6jyVNSv7cv9fKtsY/Hjjz/qtddeU2xsrP75z38qISFBjz32mDw9PRUTE+Poc2X4uff000/LbrerRYsWcnd3V05Ojp5//nkNGTJEkirVWPxVUfqdlpaW77EpHh4e8vf3r9BjI118Bt2ECRM0aNAg+fr6Sqpc4/Hiiy/Kw8NDjz32WIHbzR4LQim4TPPmzdW8eXPH8k033aSDBw9qzpw5+u9//+vCyorHarVqz549l32eSUVR1L5GRUU53XVz00036YYbbtDrr7+u6dOnl3WZV6V58+ZKSkpSRkaG/ve//ykmJkabNm0qNLApr4rTz/J8PX/55ReNHTtW8fHx5eIB3lejJH0tr9c27y/gktSmTRt17NhRoaGheu+99zRy5EgXVgaUjco01yhIZfpZXhS5ublq3769XnjhBUnSjTfeqD179mj+/PmKiYlxcXXmeu+997RkyRItXbpULVu2dDyPNzg4uNKNBYrm/Pnzuu+++2QYhl577TVXl2O6xMREzZs3Tzt27JDFYnF1OZJ40Pk1KSgoKN+nhaSnp8vX17fC3CVVmA4dOujAgQOuLqPIxowZo5UrV2rDhg1XvKugsOsaFBRUliWWmuL09VJVqlTRjTfeWC6uraenp5o2baqIiAjFxcUpPDxc8+bNK7Bteb6mxennpcrT9UxMTNTRo0fVrl07eXh4yMPDQ5s2bdK///1veXh4KCcnJ98+5fW6lqSvlypP1/avatasqeuvv77QusvrNYUUEBAgd3f3Sn39Cvv9GxQUpHPnzunUqVNO7Svi2Fzp51tgYGClGQvp4rsNLv0j0g033OB4G3NenyvD98348eP19NNP6/7771fr1q31wAMPaNy4cYqLi5NUucbir4rS76CgoHwfGHHhwgWdOHGiwo5NXiD1888/Kz4+3nGXlFR5xuPLL7/U0aNH1bBhQ8fP059//llPPPGEGjVqJMn8sSCUugZFRUVp3bp1Tuvi4+Mv+7yXiiIpKUn16tVzdRlXZBiGxowZo48++kjr169X48aNr7hPeb2uJenrpXJycvTdd9+Vi2t7qdzcXGVnZxe4rbxe04Jcrp+XKk/Xs3v37vruu++UlJTkeLVv315DhgxRUlKS3N3d8+1TXq9rSfp6qfJ0bf8qMzNTBw8eLLTu8npNcTFAj4iIcLp+ubm5WrduXYW/flf6/RsREaEqVao4jU1KSooOHTpU4cbmSj/f2rdvX2nGQpJuvvlmpaSkOK374YcfFBoaKklq3LixgoKCnMbDbrfr22+/rXDjcebMGbm5Of+T1t3dXbm5uZIq11j8VVH6HRUVpVOnTikxMdHRZv369crNzVXHjh1Nr7ms5QVS+/fv19q1a1W7dm2n7ZVlPB544AHt3r3b6edpcHCwxo8fry+++EKSC8ai1B+djnxOnz5t7Ny509i5c6chyZg9e7axc+dOx5P+n376aeOBBx5wtP/xxx+NqlWrGuPHjzf27dtn2Gw2w93d3Vi9erWrulAkxe3nnDlzjBUrVhj79+83vvvuO2Ps2LGGm5ubsXbtWld1ocj+/ve/G35+fsbGjRuNI0eOOF5nzpxxtHnggQeMp59+2rH89ddfGx4eHsZLL71k7Nu3z5g8ebJRpUoV47vvvnNFF4qsJH2dOnWq8cUXXxgHDx40EhMTjfvvv9/w9vY29u7d64ouFNnTTz9tbNq0yUhNTTV2795tPP3004bFYjHWrFljGEbFuabF7Wd5vZ6FufQT6SrKdS3IlfpaXq/tE088YWzcuNFITU01vv76a6NHjx5GQECAcfToUcMwKvY1rYyWLVtmeHl5GYsXLzaSk5ON0aNHGzVr1jTS0tJcXVqZKsrv30ceecRo2LChsX79emP79u1GVFSUERUV5cKqzXPpz7fKNBbbtm0zPDw8jOeff97Yv3+/sWTJEqNq1arGO++842gzY8YMo2bNmsbHH39s7N6927jzzjuNxo0bG3/88YcLKy99MTExRv369Y2VK1caqampxocffmgEBAQYTz31lKNNRR2LK/3bqyj97tWrl3HjjTca3377rfHVV18ZzZo1MwYNGuSqLl2Vy43HuXPnjDvuuMNo0KCBkZSU5PQzNTs723GMijIeV/rauNSln75nGOaOBaGUCTZs2GBIyveKiYkxDOPiD9MuXbrk26dt27aGp6encd111xmLFi0yve7iKm4/X3zxRaNJkyaGt7e34e/vb3Tt2tVYv369a4ovpoL6KcnpOnXp0sXR9zzvvfeecf311xuenp5Gy5Ytjc8++8zcwkugJH19/PHHjYYNGxqenp5GYGCg0adPH2PHjh3mF19MDz74oBEaGmp4enoaderUMbp37+4Iagyj4lzT4vazvF7Pwlz6D5mKcl0LcqW+ltdrO3DgQKNevXqGp6enUb9+fWPgwIHGgQMHHNsr8jWtrF555RXH12qHDh2Mb775xtUllbmi/P79448/jH/84x9GrVq1jKpVqxp33XWXceTIEdcVbaJLf75VtrH49NNPjVatWhleXl5GixYtjAULFjhtz83NNZ599lkjMDDQ8PLyMrp3726kpKS4qNqyY7fbjbFjxxoNGzY0vL29jeuuu8545plnnIKGijoWV/q3V1H6/fvvvxuDBg0yqlevbvj6+hojRowwTp8+7YLeXL3LjUdqamqhP1M3bNjgOEZFGY8rfW1cqqBQysyxsBiGYZTmnVcAAAAAAADAlfBMKQAAAAAAAJiOUAoAAAAAAACmI5QCAAAAAACA6QilAAAAAAAAYDpCKQAAAAAAAJiOUAoAAAAAAACmI5QCAAAAAACA6QilAAAAAAAAYDpCKQCopLp27arHH3/c1WUAAIBrVKNGjTR37twyP0/nzp21dOnSfOs3btyoxYsX51t//Phx1a1bV7/++muZ1wagbBFKAbisrVu3yt3dXX379nV1KWXup59+ksViUVJSUr5trghw8urJe/n7+6tLly768ssvi3WcjRs3ymKx6NSpU07rP/zwQ02fPr0UKwYAANei4cOHO+YTnp6eatq0qaZNm6YLFy5cdr+EhASNHj26TGv75JNPlJ6ervvvv7/I+wQEBGjYsGGaPHlyGVYGwAyEUgAu680339Sjjz6qzZs36/Dhw2V6LsMwrjg5qohycnKUm5tb6Pa1a9fqyJEj2rx5s4KDg3X77bcrPT39qs/r7++vGjVqXPVxAADAta9Xr146cuSI9u/fryeeeEJTpkzRrFmzCmx77tw5SVKdOnVUtWrVMq3r3//+t0aMGCE3tz//aZqUlKTbbrtNAwYM0KOPPqrWrVtrypQpTvuNGDFCS5Ys0YkTJ8q0PgBli1AKQKEyMzO1fPly/f3vf1ffvn2dbp8ePHiwBg4c6NT+/PnzCggI0Ntvvy1Jys3NVVxcnBo3biwfHx+Fh4frf//7n6N93h08q1atUkREhLy8vPTVV1/p4MGDuvPOOxUYGKjq1asrMjJSa9eudTrXkSNH1LdvX/n4+Khx48ZaunRpvlvMT506pYceekh16tSRr6+vbr31Vu3ateuqx8UwDE2ZMkUNGzaUl5eXgoOD9dhjjzm2Z2dn68knn1T9+vVVrVo1dezYURs3bnRsX7x4sWrWrKlPPvlEYWFh8vLy0qFDhwo9X+3atRUUFKRWrVrpn//8p+x2u7799lvH9v/+979q3769atSooaCgIA0ePFhHjx6VdPFuq27dukmSatWqJYvFouHDh0vKf/dXo0aN9MILL+jBBx9UjRo11LBhQy1YsMCpli1btqht27by9vZW+/bttWLFikLvLgMAANcOLy8vBQUFKTQ0VH//+9/Vo0cPffLJJ5Iu3knVv39/Pf/88woODlbz5s0l5X/73qlTp/Twww8rMDBQ3t7eatWqlVauXOnY/tVXX6lTp07y8fFRSEiIHnvsMWVlZRVa07Fjx7R+/Xr169fPsc4wDN15553y8fFRXFycnnrqKb3wwgvy8fFx2rdly5YKDg7WRx99VBrDA8BFCKUAFOq9995TixYt1Lx5cw0dOlQLFy6UYRiSpCFDhujTTz9VZmamo/0XX3yhM2fO6K677pIkxcXF6e2339b8+fO1d+9ejRs3TkOHDtWmTZuczvP0009rxowZ2rdvn9q0aaPMzEz16dNH69at086dO9WrVy/169fPKbgZNmyYDh8+rI0bN+qDDz7QggULHEFMnnvvvVdHjx7VqlWrlJiYqHbt2ql79+5X/Re1Dz74QHPmzNHrr7+u/fv3a8WKFWrdurVj+5gxY7R161YtW7ZMu3fv1r333qtevXpp//79jjZnzpzRiy++qDfeeEN79+5V3bp1r3jeP/74wxH4eXp6OtafP39e06dP165du7RixQr99NNPjuApJCREH3zwgSQpJSVFR44c0bx58wo9x8svv6z27dtr586d+sc//qG///3vSklJkSTZ7Xb169dPrVu31o4dOzR9+nRNmDCh6AMHAACuGT4+Po47oiRp3bp1SklJUXx8vFPQlCc3N1e9e/fW119/rXfeeUfJycmaMWOG3N3dJUkHDx5Ur169NGDAAO3evVvLly/XV199pTFjxhRaw1dffaWqVavqhhtucKz7/fffdejQIU2YMEHXX3+9QkJC1K9fvwLnHB06dCj2Yw0AXGMMACjETTfdZMydO9cwDMM4f/68ERAQYGzYsMFp+e2333a0HzRokDFw4EDDMAzj7NmzRtWqVY0tW7Y4HXPkyJHGoEGDDMMwjA0bNhiSjBUrVlyxlpYtWxqvvPKKYRiGsW/fPkOSkZCQ4Ni+f/9+Q5IxZ84cwzAM48svvzR8fX2Ns2fPOh2nSZMmxuuvv17gOVJTUw1Jxs6dO/Nt69KlizF27FjDMAzj5ZdfNq6//nrj3Llz+dr9/PPPhru7u/Hbb785re/evbsxceJEwzAMY9GiRYYkIykp6bJ9zqvHx8fHqFatmmGxWAxJRkRERIHnzpOQkGBIMk6fPm0Yxp/jfPLkyUL7ZBiGERoaagwdOtSxnJuba9StW9d47bXXDMMwjNdee82oXbu28ccffzja/N///V+hYwYAAK4NMTExxp133mkYxsXf7/Hx8YaXl5fx5JNPOrYHBgYa2dnZTvuFhoY65lZffPGF4ebmZqSkpBR4jpEjRxqjR492Wvfll18abm5uTnOHv5ozZ45x3XXX5VvfvHlzIzo62pgzZ46xaNGiQvs1btw4o2vXroVuB3Dt404pAAVKSUnRtm3bNGjQIEmSh4eHBg4cqDfffNOxfN9992nJkiWSpKysLH388ccaMmSIJOnAgQM6c+aMbrvtNlWvXt3xevvtt3Xw4EGnc7Vv395pOTMzU08++aRuuOEG1axZU9WrV9e+ffscd0qlpKTIw8ND7dq1c+zTtGlT1apVy7G8a9cuZWZmqnbt2k7nT01NzXf+4rr33nv1xx9/6LrrrtOoUaP00UcfOZ6F9d133yknJ0fXX3+903k3bdrkdF5PT0+1adOmSOdbvny5du7cqQ8++EBNmzbV4sWLVaVKFcf2xMRE9evXTw0bNlSNGjXUpUsXSbrsWwIL89eaLBaLgoKCHHegpaSkqE2bNvL29na06dChQ7HPAQAAzLdy5UpVr15d3t7e6t27twYOHOj0nKbWrVs73Yl9qaSkJDVo0EDXX399gdt37dqlxYsXO81/oqOjlZubq9TU1AL3+eOPP5zmFXm++OILBQYG6oUXXtAjjzyi7t27a/369fna+fj46MyZM1foOYBrmYerCwBwbXrzzTd14cIFBQcHO9YZhiEvLy+9+uqr8vPz05AhQ9SlSxcdPXpU8fHx8vHxUa9evSTJ8ba+zz77TPXr13c6tpeXl9NytWrVnJaffPJJxcfH66WXXlLTpk3l4+Oje+65x+kW8yvJzMxUvXr1nJ7llKdmzZoF7uPr6ytJysjIyLft1KlT8vPzk3TxLXEpKSlau3at4uPj9Y9//EOzZs3Spk2blJmZKXd3dyUmJjpuZ89TvXp1x//7+PjIYrEUqS8hISFq1qyZmjVrpgsXLuiuu+7Snj175OXlpaysLEVHRys6OlpLlixRnTp1dOjQIUVHRxdrvPL8NeySLgZTl3sIOwAAKB+6deum1157TZ6engoODpaHh/M/BS+dj13q0mc6XSozM1MPP/yw03M28zRs2LDAfQICAnTy5Ml860NDQ/XWW29p48aN2rBhgzIzM9WrVy/t3LlTLVu2dLQ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          },
          "metadata": {}
        }
      ]
    }
  ]
}