{"cells":[{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26680,"status":"ok","timestamp":1703682274644,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"fV1ZC-wrkfV3","outputId":"6f355ec5-7815-4f8b-a7dc-cd79e74e57ca"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/gdrive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/gdrive')"]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":4,"status":"aborted","timestamp":1703682241297,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"DGnApZHU6vy9"},"outputs":[],"source":["import pandas as pd # -\u003e Module yang digunaakn untuk analisis data, editing dataframe\n","import numpy as np # -\u003e Module yang digunakan untuk operasi matematika\n","import matplotlib.pyplot as plt # -\u003e Module yang digunakan untuk melakukan visualisasi data\n","import seaborn as sns # -\u003e Module yang digunakan untuk melakukan visualisasi data\n","import os # -\u003e Untuk melakukan operasi sistem di google colab"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"hS4y3vO29aC_"},"outputs":[],"source":["os.chdir(\"gdrive/MyDrive/Materi Mentoring/Movie Analytics\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":538,"status":"ok","timestamp":1702202836387,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"uW8E5jOtgBQ0","outputId":"917fc79f-5f34-4dba-f496-c4a6870339ec"},"outputs":[{"data":{"text/plain":["['Movie Analytics.ipynb',\n"," 'ratings_small.csv',\n"," 'movies_metadata.csv',\n"," 'Movie Analytics.gslides']"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["os.listdir()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"HS7p8a__9cR8"},"outputs":[],"source":["movies_data = pd.read_csv(\"movies_metadata.csv\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":414,"status":"ok","timestamp":1702202851522,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"eagR6GG-LGW2","outputId":"262205a6-95ee-4d1d-90b2-91eb1d0d300b"},"outputs":[{"name":"stdout","output_type":"stream","text":["\u003cclass 'pandas.core.frame.DataFrame'\u003e\n","RangeIndex: 45463 entries, 0 to 45462\n","Data columns (total 24 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 adult 45463 non-null bool \n"," 1 belongs_to_collection 4491 non-null object \n"," 2 budget 45463 non-null int64 \n"," 3 genres 45463 non-null object \n"," 4 homepage 7779 non-null object \n"," 5 id 45463 non-null int64 \n"," 6 imdb_id 45446 non-null object \n"," 7 original_language 45452 non-null object \n"," 8 original_title 45463 non-null object \n"," 9 overview 44509 non-null object \n"," 10 popularity 45460 non-null float64\n"," 11 poster_path 45077 non-null object \n"," 12 production_companies 45460 non-null object \n"," 13 production_countries 45460 non-null object \n"," 14 release_date 45376 non-null object \n"," 15 revenue 45460 non-null float64\n"," 16 runtime 45203 non-null float64\n"," 17 spoken_languages 45460 non-null object \n"," 18 status 45379 non-null object \n"," 19 tagline 20412 non-null object \n"," 20 title 45460 non-null object \n"," 21 video 45463 non-null bool \n"," 22 vote_average 45460 non-null float64\n"," 23 vote_count 45460 non-null float64\n","dtypes: bool(2), float64(5), int64(2), object(15)\n","memory usage: 7.7+ MB\n"]}],"source":["movies_data.info()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701262874692,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"7dq7yX93T8K6","outputId":"fc22c04d-ccfb-43ff-d69c-9ba9b69fda5b"},"outputs":[{"data":{"text/html":["\n"," \u003cdiv id=\"df-f35d1e69-f8f7-4339-b338-75b3feefb94e\" class=\"colab-df-container\"\u003e\n"," \u003cdiv\u003e\n","\u003cstyle scoped\u003e\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","\u003c/style\u003e\n","\u003ctable border=\"1\" class=\"dataframe\"\u003e\n"," \u003cthead\u003e\n"," \u003ctr style=\"text-align: right;\"\u003e\n"," \u003cth\u003e\u003c/th\u003e\n"," 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'block' : 'none';\n"," })();\n"," \u003c/script\u003e\n","\u003c/div\u003e\n"," \u003c/div\u003e\n"," \u003c/div\u003e\n"],"text/plain":[" adult belongs_to_collection budget \\\n","5864 True NaN 0 \n","22921 True NaN 0 \n","42939 True NaN 2000000 \n","2688 True NaN 45000000 \n","37821 True NaN 0 \n","44879 True NaN 0 \n","3798 True {'id': 338327, 'name': 'Beach Party Collection... 0 \n","18566 True NaN 0 \n","40125 True NaN 0 \n","38542 True NaN 0 \n","\n"," genres \\\n","5864 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam... \n","22921 [{'id': 27, 'name': 'Horror'}, {'id': 53, 'nam... \n","42939 [{'id': 18, 'name': 'Drama'}] \n","2688 [{'id': 18, 'name': 'Drama'}, {'id': 9648, 'na... \n","37821 [{'id': 18, 'name': 'Drama'}, {'id': 14, 'name... \n","44879 [{'id': 18, 'name': 'Drama'}, {'id': 10749, 'n... \n","3798 [{'id': 35, 'name': 'Comedy'}, {'id': 10402, '... \n","18566 [{'id': 35, 'name': 'Comedy'}] \n","40125 [{'id': 18, 'name': 'Drama'}, {'id': 10769, 'n... \n","38542 [{'id': 80, 'name': 'Crime'}, {'id': 18, 'name... \n","\n"," homepage id imdb_id \\\n","5864 NaN 15395 tt0282698 \n","22921 http://www.bitterfeastthefilm.com/ 52817 tt1477835 \n","42939 NaN 371899 tt3775176 \n","2688 NaN 9944 tt0107798 \n","37821 NaN 114242 tt0163624 \n","44879 http://level33entertainment.com/1_Night.html 416691 tt4126694 \n","3798 NaN 39113 tt0057887 \n","18566 NaN 79940 tt1855401 \n","40125 NaN 47325 tt1364478 \n","38542 NaN 97481 tt3253740 \n","\n"," original_language original_title \\\n","5864 en Love Liza \n","22921 en Bitter Feast \n","42939 ru Синдром Петрушки \n","2688 en The Pelican Brief \n","37821 de Faust \n","44879 en 1 Night \n","3798 en Bikini Beach \n","18566 en Tim and Eric's Billion Dollar Movie \n","40125 en Casanegra \n","38542 en The Confession \n","\n"," overview ... release_date \\\n","5864 Following the unexplained suicide of his wife ... ... 2002-12-30 \n","22921 A celebrity chef exacts revenge on a food blog... ... 2010-07-08 \n","42939 Since early childhood Peter has been obsessed ... ... 2015-11-05 \n","2688 Two Supreme Court Justices have been assassina... ... 1993-12-16 \n","37821 In 1957 Gustaf Gründgens staged a new producti... ... 1960-09-30 \n","44879 Thirty-something Elizabeth must decide whether... ... 2017-02-10 \n","3798 A millionaire sets out to prove his theory tha... ... 1964-07-22 \n","18566 Two guys get a billion dollars to make a movie... ... 2012-03-02 \n","40125 A Moroccan-Norwegian co-production about the d... ... 2009-05-09 \n","38542 A unique story of redemption and an exploratio... ... 2011-07-01 \n","\n"," revenue runtime spoken_languages \\\n","5864 0.0 90.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","22921 0.0 105.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","42939 0.0 90.0 [{'iso_639_1': 'ru', 'name': 'Pусский'}] \n","2688 195268056.0 141.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","37821 0.0 128.0 [{'iso_639_1': 'de', 'name': 'Deutsch'}] \n","44879 0.0 76.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","3798 0.0 99.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","18566 0.0 94.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","40125 0.0 131.0 [{'iso_639_1': 'ar', 'name': 'العربية'}, {'iso... \n","38542 0.0 63.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","\n"," status tagline \\\n","5864 Released NaN \n","22921 Released NaN \n","42939 Released The story of an all-consuming passion between ... \n","2688 Released Two Supreme Court Justices have been assassina... \n","37821 Released NaN \n","44879 Released Love can happen at any time. \n","3798 Released It's where every torso is more so, and bare-as... \n","18566 Released NaN \n","40125 Released What's white about Casablanca, they should cal... \n","38542 Released NaN \n","\n"," title video vote_average vote_count \n","5864 Love Liza False 6.5 25.0 \n","22921 Bitter Feast False 5.5 17.0 \n","42939 The Puppet Syndrome False 7.0 2.0 \n","2688 The Pelican Brief False 6.3 377.0 \n","37821 Faust False 7.2 6.0 \n","44879 1 Night False 6.2 30.0 \n","3798 Bikini Beach False 6.7 10.0 \n","18566 Tim and Eric's Billion Dollar Movie False 5.2 35.0 \n","40125 Casanegra False 5.5 3.0 \n","38542 The Confession False 6.7 17.0 \n","\n","[10 rows x 24 columns]"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["movies_data.sample(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"B8m-bpDgaP_L"},"outputs":[],"source":["movies_data[\"release_date\"] = pd.to_datetime(movies_data[\"release_date\"])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701262883691,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"HVk31czQaXIU","outputId":"75870ab6-e5a9-4866-f608-24afdb39570e"},"outputs":[{"data":{"text/plain":["dtype('\u003cM8[ns]')"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["movies_data[\"release_date\"].dtypes"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701262885259,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"8pRaYF5jaePW","outputId":"111ebc80-f2ad-49a8-cfe2-c470fc355c82"},"outputs":[{"data":{"text/plain":["array(['Released', nan, 'Rumored', 'Post Production', 'In Production',\n"," 'Planned', 'Canceled'], dtype=object)"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["movies_data[\"status\"].unique()\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1701262886627,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"ObAYv4-Ha6QB","outputId":"786a866b-bf12-4879-c5d2-9219ea5d43db"},"outputs":[{"data":{"text/plain":["89"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["movies_data[\"original_language\"].nunique()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"f90JdQ6ybGjb"},"outputs":[],"source":["#movies_data[\"status\"] == \"Released\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":603,"status":"ok","timestamp":1701263282311,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"Pgyv0Wafbosz","outputId":"804db14a-a8c2-46c7-dc62-57e40b07209f"},"outputs":[{"name":"stdout","output_type":"stream","text":["\u003cclass 'pandas.core.frame.DataFrame'\u003e\n","RangeIndex: 45463 entries, 0 to 45462\n","Data columns (total 24 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 adult 45463 non-null bool \n"," 1 belongs_to_collection 4491 non-null object \n"," 2 budget 45463 non-null int64 \n"," 3 genres 45463 non-null object \n"," 4 homepage 7779 non-null object \n"," 5 id 45463 non-null int64 \n"," 6 imdb_id 45446 non-null object \n"," 7 original_language 45452 non-null object \n"," 8 original_title 45463 non-null object \n"," 9 overview 44509 non-null object \n"," 10 popularity 45460 non-null float64 \n"," 11 poster_path 45077 non-null object \n"," 12 production_companies 45460 non-null object \n"," 13 production_countries 45460 non-null object \n"," 14 release_date 45376 non-null datetime64[ns]\n"," 15 revenue 45460 non-null float64 \n"," 16 runtime 45203 non-null float64 \n"," 17 spoken_languages 45460 non-null object \n"," 18 status 45379 non-null object \n"," 19 tagline 20412 non-null object \n"," 20 title 45460 non-null object \n"," 21 video 45463 non-null bool \n"," 22 vote_average 45460 non-null float64 \n"," 23 vote_count 45460 non-null float64 \n","dtypes: bool(2), datetime64[ns](1), float64(5), int64(2), object(14)\n","memory usage: 7.7+ MB\n"]}],"source":["movies_data.info()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":706},"executionInfo":{"elapsed":328,"status":"ok","timestamp":1701351351968,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"B9Zc3dzvMUD1","outputId":"28c6f9c1-4f72-4d8f-f674-93640fdbd6ab"},"outputs":[{"data":{"text/html":["\n"," \u003cdiv id=\"df-da891967-6fb2-4ff8-aa88-188df45426a0\" 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Still Ready for...\u003c/td\u003e\n"," \u003ctd\u003eGrumpier Old Men\u003c/td\u003e\n"," \u003ctd\u003eFalse\u003c/td\u003e\n"," \u003ctd\u003e6.5\u003c/td\u003e\n"," \u003ctd\u003e92.0\u003c/td\u003e\n"," \u003c/tr\u003e\n"," \u003ctr\u003e\n"," \u003cth\u003e3\u003c/th\u003e\n"," \u003ctd\u003eTrue\u003c/td\u003e\n"," \u003ctd\u003eNaN\u003c/td\u003e\n"," \u003ctd\u003e16000000\u003c/td\u003e\n"," \u003ctd\u003e[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...\u003c/td\u003e\n"," \u003ctd\u003eNaN\u003c/td\u003e\n"," \u003ctd\u003e31357\u003c/td\u003e\n"," \u003ctd\u003ett0114885\u003c/td\u003e\n"," \u003ctd\u003een\u003c/td\u003e\n"," \u003ctd\u003eWaiting to Exhale\u003c/td\u003e\n"," \u003ctd\u003eCheated on, mistreated and stepped on, the wom...\u003c/td\u003e\n"," \u003ctd\u003e...\u003c/td\u003e\n"," \u003ctd\u003e1995-12-22\u003c/td\u003e\n"," \u003ctd\u003e81452156.0\u003c/td\u003e\n"," \u003ctd\u003e127.0\u003c/td\u003e\n"," \u003ctd\u003e[{'iso_639_1': 'en', 'name': 'English'}]\u003c/td\u003e\n"," \u003ctd\u003eReleased\u003c/td\u003e\n"," \u003ctd\u003eFriends are the people who let you be yourself...\u003c/td\u003e\n"," \u003ctd\u003eWaiting to Exhale\u003c/td\u003e\n"," \u003ctd\u003eFalse\u003c/td\u003e\n"," \u003ctd\u003e6.1\u003c/td\u003e\n"," \u003ctd\u003e34.0\u003c/td\u003e\n"," \u003c/tr\u003e\n"," \u003ctr\u003e\n"," \u003cth\u003e4\u003c/th\u003e\n"," \u003ctd\u003eTrue\u003c/td\u003e\n"," \u003ctd\u003e{'id': 96871, 'name': 'Father of the Bride Col...\u003c/td\u003e\n"," \u003ctd\u003e0\u003c/td\u003e\n"," \u003ctd\u003e[{'id': 35, 'name': 'Comedy'}]\u003c/td\u003e\n"," \u003ctd\u003eNaN\u003c/td\u003e\n"," \u003ctd\u003e11862\u003c/td\u003e\n"," \u003ctd\u003ett0113041\u003c/td\u003e\n"," \u003ctd\u003een\u003c/td\u003e\n"," \u003ctd\u003eFather of the Bride Part II\u003c/td\u003e\n"," \u003ctd\u003eJust when George Banks has recovered from his ...\u003c/td\u003e\n"," \u003ctd\u003e...\u003c/td\u003e\n"," \u003ctd\u003e1995-02-10\u003c/td\u003e\n"," \u003ctd\u003e76578911.0\u003c/td\u003e\n"," \u003ctd\u003e106.0\u003c/td\u003e\n"," \u003ctd\u003e[{'iso_639_1': 'en', 'name': 'English'}]\u003c/td\u003e\n"," \u003ctd\u003eReleased\u003c/td\u003e\n"," \u003ctd\u003eJust When His World Is Back To Normal... He's ...\u003c/td\u003e\n"," \u003ctd\u003eFather of the Bride Part II\u003c/td\u003e\n"," \u003ctd\u003eFalse\u003c/td\u003e\n"," \u003ctd\u003e5.7\u003c/td\u003e\n"," \u003ctd\u003e173.0\u003c/td\u003e\n"," \u003c/tr\u003e\n"," \u003c/tbody\u003e\n","\u003c/table\u003e\n","\u003cp\u003e5 rows × 24 columns\u003c/p\u003e\n","\u003c/div\u003e\n"," \u003cdiv class=\"colab-df-buttons\"\u003e\n","\n"," \u003cdiv class=\"colab-df-container\"\u003e\n"," \u003cbutton class=\"colab-df-convert\" onclick=\"convertToInteractive('df-da891967-6fb2-4ff8-aa88-188df45426a0')\"\n"," title=\"Convert this dataframe to an interactive table.\"\n"," style=\"display:none;\"\u003e\n","\n"," \u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\"\u003e\n"," \u003cpath d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/\u003e\n"," \u003c/svg\u003e\n"," \u003c/button\u003e\n","\n"," \u003cstyle\u003e\n"," .colab-df-container {\n"," display:flex;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .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"," \u003c/style\u003e\n","\n"," \u003cscript\u003e\n"," const buttonEl =\n"," document.querySelector('#df-da891967-6fb2-4ff8-aa88-188df45426a0 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-da891967-6fb2-4ff8-aa88-188df45426a0');\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"," '\u003ca target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb\u003edata table notebook\u003c/a\u003e'\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"," \u003c/script\u003e\n"," \u003c/div\u003e\n","\n","\n","\u003cdiv id=\"df-fc38adcc-fad0-4359-b04f-4bf0d024c597\"\u003e\n"," \u003cbutton class=\"colab-df-quickchart\" onclick=\"quickchart('df-fc38adcc-fad0-4359-b04f-4bf0d024c597')\"\n"," title=\"Suggest charts\"\n"," style=\"display:none;\"\u003e\n","\n","\u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\"\u003e\n"," \u003cg\u003e\n"," \u003cpath 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\"/\u003e\n"," \u003c/g\u003e\n","\u003c/svg\u003e\n"," \u003c/button\u003e\n","\n","\u003cstyle\u003e\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"," }\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","\u003c/style\u003e\n","\n"," \u003cscript\u003e\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"," (() =\u003e {\n"," let quickchartButtonEl =\n"," document.querySelector('#df-fc38adcc-fad0-4359-b04f-4bf0d024c597 button');\n"," quickchartButtonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n"," })();\n"," \u003c/script\u003e\n","\u003c/div\u003e\n"," \u003c/div\u003e\n"," \u003c/div\u003e\n"],"text/plain":[" adult belongs_to_collection budget \\\n","0 True {'id': 10194, 'name': 'Toy Story Collection', ... 30000000 \n","1 True NaN 65000000 \n","2 True {'id': 119050, 'name': 'Grumpy Old Men Collect... 0 \n","3 True NaN 16000000 \n","4 True {'id': 96871, 'name': 'Father of the Bride Col... 0 \n","\n"," genres \\\n","0 [{'id': 16, 'name': 'Animation'}, {'id': 35, '... \n","1 [{'id': 12, 'name': 'Adventure'}, {'id': 14, '... \n","2 [{'id': 10749, 'name': 'Romance'}, {'id': 35, ... \n","3 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam... \n","4 [{'id': 35, 'name': 'Comedy'}] \n","\n"," homepage id imdb_id original_language \\\n","0 http://toystory.disney.com/toy-story 862 tt0114709 en \n","1 NaN 8844 tt0113497 en \n","2 NaN 15602 tt0113228 en \n","3 NaN 31357 tt0114885 en \n","4 NaN 11862 tt0113041 en \n","\n"," original_title \\\n","0 Toy Story \n","1 Jumanji \n","2 Grumpier Old Men \n","3 Waiting to Exhale \n","4 Father of the Bride Part II \n","\n"," overview ... release_date \\\n","0 Led by Woody, Andy's toys live happily in his ... ... 1995-10-30 \n","1 When siblings Judy and Peter discover an encha... ... 1995-12-15 \n","2 A family wedding reignites the ancient feud be... ... 1995-12-22 \n","3 Cheated on, mistreated and stepped on, the wom... ... 1995-12-22 \n","4 Just when George Banks has recovered from his ... ... 1995-02-10 \n","\n"," revenue runtime spoken_languages \\\n","0 373554033.0 81.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","1 262797249.0 104.0 [{'iso_639_1': 'en', 'name': 'English'}, {'iso... \n","2 0.0 101.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","3 81452156.0 127.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","4 76578911.0 106.0 [{'iso_639_1': 'en', 'name': 'English'}] \n","\n"," status tagline \\\n","0 Released NaN \n","1 Released Roll the dice and unleash the excitement! \n","2 Released Still Yelling. Still Fighting. Still Ready for... \n","3 Released Friends are the people who let you be yourself... \n","4 Released Just When His World Is Back To Normal... He's ... \n","\n"," title video vote_average vote_count \n","0 Toy Story False 7.7 5415.0 \n","1 Jumanji False 6.9 2413.0 \n","2 Grumpier Old Men False 6.5 92.0 \n","3 Waiting to Exhale False 6.1 34.0 \n","4 Father of the Bride Part II False 5.7 173.0 \n","\n","[5 rows x 24 columns]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["movies_data.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"GZc5En5NeQlf"},"outputs":[],"source":["movies_data[\"profit\"] = movies_data[\"revenue\"] - movies_data[\"budget\"]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":470},"executionInfo":{"elapsed":622,"status":"ok","timestamp":1701352057773,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"GLBE2RexeTpu","outputId":"ffa386d0-5e63-4615-bee1-54a891696630"},"outputs":[{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["movies_data[\"profit\"].hist(bins = 100)\n","plt.title(\"Profit Movies Distribution\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1701352075174,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"Ifd0LrWZewuz","outputId":"919ec4ba-81c2-41aa-a203-1862f28e651f"},"outputs":[{"data":{"text/plain":["count 4.546000e+04\n","mean 6.984491e+06\n","std 5.214125e+07\n","min -1.657101e+08\n","25% 0.000000e+00\n","50% 0.000000e+00\n","75% 0.000000e+00\n","max 2.550965e+09\n","Name: profit, dtype: float64"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["movies_data[\"profit\"].describe()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-2WbPBchffmn"},"outputs":[],"source":["import seaborn as sns"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":462},"executionInfo":{"elapsed":421,"status":"ok","timestamp":1702202913986,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"mYcSuhXBfGw3","outputId":"fed45a04-ec86-479e-e39a-faf4fef88ab1"},"outputs":[{"data":{"text/plain":["\u003cAxes: \u003e"]},"execution_count":14,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAiMAAAGsCAYAAAAPJKchAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAoJklEQVR4nO3dfXBUZZr38V+nkQQduh0IkACBZIn4lh6IKJBgNBkZsixa05uJMmIt6io7rmEXBxyfDbu+75JyIKI1wjCMJehaghKaMBWFkQ0biBIXQSnJvjBAAUHovKCQhAABuvv5w0qPjQmmSXNuuvP9VJ2q9DnX6b76H/rHfe5zH1sgEAgIAADAkDjTDQAAgN6NMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMiqowsnXrVt1zzz0aOnSobDabysvLw36P9957T2PHjtXVV1+tkSNHauHChZFvFAAAdFtUhZG2tjaNGTNGS5YsuaTzN2zYoAceeECPPfaYamtrtXTpUi1evFivvfZahDsFAADdZYvWB+XZbDatW7dObrc7uK+9vV3//M//rFWrVunEiRPKyMjQSy+9pNzcXEnSjBkzdO7cOa1ZsyZ4zm9+8xv9+te/Vl1dnWw2m8XfAgAARNXIyPeZPXu2ampqtHr1an3xxRe699579Zd/+Zfau3evpG/CSkJCQsg5/fr105dffqlDhw6ZaBkAgF4vZsJIXV2dVqxYoTVr1ignJ0ejRo3Sk08+qdtvv10rVqyQJOXn58vj8aiyslJ+v19/+tOfVFpaKknyer0m2wcAoNfqY7qBSNm9e7d8Pp9Gjx4dsr+9vV0DBw6UJM2aNUv79+/X3XffrXPnzsnhcGjOnDl67rnnFBcXM7kMAICoEjNh5OTJk7Lb7dq5c6fsdnvIsR/84AeSvpln8tJLL2nBggWqr6/XoEGDVFlZKUn6i7/4C8t7BgAAMRRGMjMz5fP51NjYqJycnIvW2u12DRs2TJK0atUqZWVladCgQVa0CQAALhBVYeTkyZPat29f8PWBAwe0a9cuDRgwQKNHj9YDDzygmTNnqrS0VJmZmWpqalJlZaV+9KMfadq0aTp27JjKysqUm5urM2fOBOeYbNmyxeC3AgCgd4uqW3urqqqUl5f3nf0PPvigVq5cqXPnzulf//Vf9dZbb+nIkSNKTEzUxIkT9fzzz8vlcunYsWO65557tHv3bgUCAWVlZenf/u3fNGHCBAPfBgAASFEWRgAAQOzhFhIAAGAUYQQAABgVFRNY/X6/jh49qv79+7NkOwAAUSIQCKi1tVVDhw696HpeURFGjh49qpSUFNNtAACAS3D48GENHz68y+NREUb69+8v6Zsv43A4DHcDAAC6o6WlRSkpKcHf8a5ERRjpuDTjcDgIIwAARJnvm2LBBFYAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUVGx6BmA2OTz+VRdXS2v16vk5GTl5OTIbrebbguAxRgZAWCEx+NRenq68vLyNGPGDOXl5Sk9PV0ej8d0awAsRhgBYDmPx6PCwkK5XC7V1NSotbVVNTU1crlcKiwsJJAAvYwtEAgETDfxfVpaWuR0OtXc3MyzaYAo5/P5lJ6eLpfLpfLy8pDHivv9frndbtXW1mrv3r1csgGiXHd/vxkZAWCp6upqHTx4UPPnzw8JIpIUFxen4uJiHThwQNXV1YY6BGA1wggAS3m9XklSRkZGp8c79nfUAYh9hBEAlkpOTpYk1dbWdnq8Y39HHYDYRxgBYKmcnBylpqZqwYIF8vv9Icf8fr9KSkqUlpamnJwcQx0CsFpYYaSkpES33Xab+vfvr8GDB8vtdmvPnj0XPWflypWy2WwhW0JCQo+aBhC97Ha7SktLVVFRIbfbHXI3jdvtVkVFhRYtWsTkVaAXCSuMbNmyRUVFRfrkk0+0adMmnTt3TlOmTFFbW9tFz3M4HPJ6vcHt0KFDPWoaQHQrKChQWVmZdu/erezsbDkcDmVnZ6u2tlZlZWUqKCgw3SIAC4W1AuvGjRtDXq9cuVKDBw/Wzp07dccdd3R5ns1mU1JS0qV1CCAmFRQU6Kc//SkrsALo2XLwzc3NkqQBAwZctO7kyZMaOXKk/H6/brnlFi1YsEA333xzl/Xt7e1qb28Pvm5paelJmwCuUHa7Xbm5uabbAGDYJU9g9fv9euKJJzRp0qQub9GTpOuvv15vvPGG1q9fr7ffflt+v1/Z2dn68ssvuzynpKRETqczuKWkpFxqmwAA4Ap3ySuw/v3f/702bNigjz76SMOHD+/2eefOndONN96o+++/Xy+++GKnNZ2NjKSkpLACKwAAUaS7K7Be0mWa2bNnq6KiQlu3bg0riEjSVVddpczMTO3bt6/Lmvj4eMXHx19KawAAIMqEdZkmEAho9uzZWrdunTZv3qy0tLSwP9Dn82n37t0saAQAACSFOTJSVFSkd955R+vXr1f//v1VX18vSXI6nerXr58kaebMmRo2bJhKSkokSS+88IImTpyo9PR0nThxQgsXLtShQ4f06KOPRvirAACAaBRWGPntb38rSd+Z/b5ixQo99NBDkqS6urqQh18dP35cs2bNUn19vX74wx9q3Lhx2rZtm2666aaedQ4AAGLCJU9gtVJ3J8AAAIArR3d/v3k2DQAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAo8IKIyUlJbrtttvUv39/DR48WG63W3v27Pne89asWaMbbrhBCQkJcrlc+uCDDy65YQAAEFvCCiNbtmxRUVGRPvnkE23atEnnzp3TlClT1NbW1uU527Zt0/33369HHnlEn3/+udxut9xut2pra3vcPAAAiH62QCAQuNSTm5qaNHjwYG3ZskV33HFHpzXTp09XW1ubKioqgvsmTpyosWPHatmyZd36nJaWFjmdTjU3N8vhcFxquwAAwELd/f3u0ZyR5uZmSdKAAQO6rKmpqdHkyZND9uXn56umpqbLc9rb29XS0hKyAQCA2HTJYcTv9+uJJ57QpEmTlJGR0WVdfX29hgwZErJvyJAhqq+v7/KckpISOZ3O4JaSknKpbQIAgCvcJYeRoqIi1dbWavXq1ZHsR5JUXFys5ubm4Hb48OGIfwYAALgy9LmUk2bPnq2Kigpt3bpVw4cPv2htUlKSGhoaQvY1NDQoKSmpy3Pi4+MVHx9/Ka0BAIAoE9bISCAQ0OzZs7Vu3Tpt3rxZaWlp33tOVlaWKisrQ/Zt2rRJWVlZ4XUKAABiUlgjI0VFRXrnnXe0fv169e/fPzjvw+l0ql+/fpKkmTNnatiwYSopKZEkzZkzR3feeadKS0s1bdo0rV69Wjt27NDy5csj/FUAAEA0Cmtk5Le//a2am5uVm5ur5OTk4Pbuu+8Ga+rq6uT1eoOvs7Oz9c4772j58uUaM2aMysrKVF5eftFJrwAAoPfo0TojVmGdEQAAoo8l64wAAAD0FGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYNQlPbUXACLB5/OpurpaXq9XycnJysnJkd1uN90WAIsxMgLACI/Ho/T0dOXl5WnGjBnKy8tTenq6PB6P6dYAWIwwAsByHo9HhYWFcrlcqqmpUWtrq2pqauRyuVRYWEggAXoZHpQHwFI+n0/p6elyuVwqLy9XXNyf/0/k9/vldrtVW1urvXv3cskGiHI8KA/AFam6uloHDx7U/PnzQ4KIJMXFxam4uFgHDhxQdXW1oQ4BWI0wAsBSXq9XkpSRkdHp8Y79HXUAYh9hBIClkpOTJUm1tbWdHu/Y31EHIPYRRgBYKicnR6mpqVqwYIH8fn/IMb/fr5KSEqWlpSknJ8dQhwCsRhgBYCm73a7S0lJVVFTI7XaH3E3jdrtVUVGhRYsWMXkV6EVY9AyA5QoKClRWVqZ58+YpOzs7uD8tLU1lZWUqKCgw2B0Aq3FrLwBjWIEViG3d/f1mZASAMXa7Xbm5uabbAGAYc0YAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYxbNpABjDg/IASIyMADDE4/EoPT1deXl5mjFjhvLy8pSeni6Px2O6NQAWI4wAsJzH41FhYaFcLpdqamrU2tqqmpoauVwuFRYWEkiAXsYWCAQCppv4Pi0tLXI6nWpubpbD4TDdDoAe8Pl8Sk9Pl8vlUnl5ueLi/vx/Ir/fL7fbrdraWu3du5dLNkCU6+7vNyMjACxVXV2tgwcPav78+SFBRJLi4uJUXFysAwcOqLq62lCHAKxGGAFgKa/XK0nKyMjo9HjH/o46ALGPMALAUsnJyZKk2traTo937O+oAxD7CCMALJWTk6PU1FQtWLBAfr8/5Jjf71dJSYnS0tKUk5NjqEMAViOMALCU3W5XaWmpKioq5Ha7Q+6mcbvdqqio0KJFi5i8CvQiLHoGwHIFBQUqKyvTvHnzlJ2dHdyflpamsrIyFRQUGOwOgNW4tReAMazACsS27v5+MzICwBi73a7c3FzTbQAwjDkjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADAq7DCydetW3XPPPRo6dKhsNpvKy8svWl9VVSWbzfadrb6+/lJ7BgAAMSTsMNLW1qYxY8ZoyZIlYZ23Z88eeb3e4DZ48OBwPxoAAMSgsBc9mzp1qqZOnRr2Bw0ePFjXXntt2OcBAIDYZtmckbFjxyo5OVk/+clP9PHHH1+0tr29XS0tLSEbAACITZc9jCQnJ2vZsmVau3at1q5dq5SUFOXm5uqzzz7r8pySkhI5nc7glpKScrnbBAAAhvToQXk2m03r1q2T2+0O67w777xTI0aM0L//+793ery9vV3t7e3B1y0tLUpJSeFBeQAARJEr+kF548eP10cffdTl8fj4eMXHx1vYEQAAMMXIOiO7du1ScnKyiY8GAABXmLBHRk6ePKl9+/YFXx84cEC7du3SgAEDNGLECBUXF+vIkSN66623JEmvvPKK0tLSdPPNN+vMmTN6/fXXtXnzZn344YeR+xYAACBqhR1GduzYoby8vODruXPnSpIefPBBrVy5Ul6vV3V1dcHjZ8+e1bx583TkyBFdffXV+tGPfqT/+I//CHkPAADQe/VoAqtVujsBBgAAXDm6+/vNs2kAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFFGVmAFAEny+Xyqrq6W1+tVcnKycnJyZLfbTbcFwGKMjAAwwuPxKD09XXl5eZoxY4by8vKUnp4uj8djujUAFiOMALCcx+NRYWGhXC6Xampq1NraqpqaGrlcLhUWFhJIgF6GRc8AWMrn8yk9PV0ul0vl5eWKi/vz/4n8fr/cbrdqa2u1d+9eLtkAUY5FzwBckaqrq3Xw4EHNnz8/JIhIUlxcnIqLi3XgwAFVV1cb6hCA1QgjACzl9XolSRkZGZ0e79jfUQcg9hFGAFgqOTlZklRbWyufz6eqqiqtWrVKVVVV8vl8qq2tDakDEPuYMwLAUh1zRhITE3Xs2DEdPHgweCw1NVWJiYn66quvmDMCxADmjAC4Itntdt17773asWOHTp8+rXnz5mnJkiWaN2+eTp8+rR07dqiwsJAgAvQijIwAsFTHyIjdbtfBgwfl8/mCx+x2u1JTU+X3+xkZAWJAd3+/WYEVgKU67qaRpLvvvltTp05Vv379dPr0aW3YsEEVFRXButzcXHONArAMYQSApY4cOSJJmjp1qtavXx9ye+9jjz2mu+++Wxs2bAjWAYh9zBkBYKmmpiZJUkFBQafrjLjd7pA6ALGPMALAUoMGDZL0zZLwfr8/5Jjf71d5eXlIHYDYRxgBYKlhw4ZJkjZu3Ci32x3ybBq3262NGzeG1AGIfdxNA8BSF1tnJC0tTQMHDmSdESBGcDcNgCuS3W5XaWmpCgsLNW3aND355JPBu2k2btyo999/X2VlZQQRoBchjACwXEFBgcrKyjRv3rzgrbzSNyMjZWVlKigoMNgdAKtxmQaAMWfPntXSpUu1f/9+jRo1So8//rj69u1rui0AEcJlGgBXNI/Ho3nz5oXMGXn11VdVWlrKyAjQy3A3DQDLeTweFRYWyuVyhdxN43K5VFhYKI/HY7pFABbiMg0AS3XcTeNyuVReXh6y8Jnf75fb7VZtbS130wAxgKf2ArgidTybZv78+Z2uwFpcXKwDBw6ourraUIcArEYYAWApr9crScrIyOj0eMf+jjoAsY8wAsBSycnJkqTa2tpOj3fs76gDEPsIIwAslZOTo9TUVC1YsKDTZ9OUlJQoLS1NOTk5hjoEYDXCCABLdazAWlFR0emzaSoqKrRo0SImrwK9COuMALDct1dgzc7ODu5nBVagd+LWXgDG+Hw+VVdXy+v1Kjk5WTk5OYyIADGEFVgBXPHsdrtyc3NNtwHAMMIIAGN4Ng0AiTACwJCnnnpKixcv1vnz54P7fvWrX+mXv/ylfv3rXxvsDIDVuJsGgOWeeuopLVy4UAMHDtTvf/97eb1e/f73v9fAgQO1cOFCPfXUU6ZbBGAhJrACsNTZs2d1zTXXaODAgTp06JBqamqCE1izsrI0cuRIffXVV2pra+OSDRDleDYNgCvS0qVLdf78eRUUFOiGG25QXl6eZsyYoby8PN1www1yu906f/68li5darpVABZhzggAS+3fv1+StGzZMk2bNk2/+tWv1K9fP50+fVobNmzQ8uXLQ+oAxD7CCABLpaWlSZJGjBih3bt3q6KiInhs5MiRGjFihA4dOhSsAxD7uEwDwFIul0uSdOjQIblcrpDl4F0ulw4dOhRSByD2EUYAWKqxsTH49/bt2/XFF1+opaVFX3zxhbZv395pHYDYxmUaAJZqamqSJOXn56uyslK/+MUvgsf69Omjn/zkJ9q0aVOwDkDsY2QEgKUGDRokSYqLi1Nra6sWL16s2bNna/HixWptbVWfPn1C6gDEPsIIAEsNGzZMkrRx40bdd999mjBhghYsWKAJEybovvvu08aNG0PqAMQ+Fj0DYCmfz6f09HQlJibq2LFjOnjwYPBYWlqaBg4cqK+++kp79+7lCb5AlOOpvQCuSHa7XaWlpSosLFR8fHzIMa/Xq4MHD6qsrIwgAvQiXKYBYEQgEFB7e3vIvvb2dkXBYC2ACOMyDQBL+Xw+JScnq6mpSdOmTdNf/dVfBVdg/eCDD/T+++9r8ODBOnr0KKMjQJS7bM+m2bp1q+655x4NHTpUNptN5eXl33tOVVWVbrnlFsXHxys9PV0rV64M92MBxIiqqio1NTXp9ttv1x/+8Ac9/vjjevjhh/X444/rD3/4g26//XY1NjaqqqrKdKsALBJ2GGlra9OYMWO0ZMmSbtUfOHBA06ZNU15ennbt2qUnnnhCjz76qP74xz+G3SyA6NcRMp5//nkFAgFVVVVp1apVqqqqUiAQ0LPPPhtSByD2hT2BderUqZo6dWq365ctW6a0tDSVlpZKkm688UZ99NFHWrx4sfLz88P9eAAxorq6Wo888kjI3TSpqamaOXOmuaYAGHHZJ7DW1NRo8uTJIfvy8/NVU1PT5Tnt7e1qaWkJ2QDEhtzcXEnSc889p4yMjJBn02RkZOiFF14IqQMQ+y57GKmvr9eQIUNC9g0ZMkQtLS06ffp0p+eUlJTI6XQGt5SUlMvdJgCL5OTkKC7um396AoHAdzbpm9VZc3JyTLYJwEJX5K29xcXFam5uDm6HDx823RKACNm2bZv8fr8kafPmzcrOzpbD4VB2drb+8z//U5Lk9/u1bds2k20CsNBlDyNJSUlqaGgI2dfQ0CCHw6F+/fp1ek58fLwcDkfIBiA2eL1eSdLbb7/d6ajp22+/HVIHIPZd9hVYs7Ky9MEHH4Ts27Rpk7Kysi73RwO4AiUnJ0uSRo0apT179mjp0qXav3+/Ro0apccff1w7d+4MqQMQ+8Je9OzkyZPat2+fJCkzM1Mvv/yy8vLyNGDAAI0YMULFxcU6cuSI3nrrLUnf3NqbkZGhoqIi/e3f/q02b96sf/zHf9T777/f7btpWPQMiB0XezZNamqqEhMTeTYNECMu26JnO3bsUGZmpjIzMyVJc+fOVWZmpp555hlJ3wyt1tXVBevT0tL0/vvva9OmTRozZoxKS0v1+uuvc1sv0EvZ7Xbde++92rFjR8i/FZJUV1enHTt2qLCwkCAC9CIsBw/AUj6fT0OHDlVjY6MSEhJ05syZ4LGOZeFZDh6IDZdtZAQAeqKqqkqNjY26/fbbdezYMRUVFWnKlCkqKipSU1OTJk2axHLwQC9DGAFgqY6QMXToUDmdTi1ZskQffvihlixZIqfTqaFDh4bUAYh9hBEARrz33nu68CpxIBDQmjVrDHUEwJTLfmsvAHxbdnZ28O/8/HzdfffdwbkiFRUV2rBhw3fqAMQ2wggAS9XW1gb/rqqqCoYPSSELIdbW1ob1UE4A0YvLNAAs9e1l3i98PtW3X7McPNB7EEYAWOqaa66JaB2A6EcYAWApl8sV0ToA0Y8wAsBSx48fj2gdgOhHGAFgqU8//TSidQCiH2EEgKW8Xm9E6wBEP8IIAEt9/fXXEa0DEP0IIwAs1b9//4jWAYh+hBEAlho9enRE6wBEP8IIAEtd7DHil1IHIPoRRgBY6vDhwxGtAxD9CCMALNW3b9+I1gGIfoQRAJYKBAIRrQMQ/QgjACzV0NAQ0ToA0Y8wAsBSp06dimgdgOhHGAFgKb/fH/y7T58+Ice+/frbdQBiG2EEgKXa29uDf58/fz7k2Ldff7sOQGwjjACwlNPpjGgdgOhHGAFgqZycnIjWAYh+hBEAlrLZbBGtAxD9CCMALLVr166I1gGIfoQRAJZi0TMAFyKMALDUqFGjgn8nJiZq1KhRSk5O1qhRo5SYmNhpHYDY1uf7SwAgco4dOxby97dfd1UHILYxMgLAUo2NjRGtAxD9CCMALOVwOCJaByD6EUYAWOraa6+NaB2A6EcYAWCpEydORLQOQPQjjACw1PHjxyNaByD6EUYAWOro0aMRrQMQ/QgjACzl9/sjWgcg+hFGAFhqwIABEa0DEP0IIwAs5XK5IloHIPoRRgBYasuWLRGtAxD9CCMALHXmzJmI1gGIfoQRAJbq06d7j8Tqbh2A6EcYAWCpESNGRLQOQPQjjACwlM/ni2gdgOhHGAFgqVOnTkW0DkD0I4wAsFRzc3NE6wBEP8IIAEsxgRXAhQgjACzFcvAALkQYAWCp8+fPR7QOQPQjjACwVCAQiGgdgOhHGAFgKZvNFtE6ANGPMALAUqwzAuBClxRGlixZotTUVCUkJGjChAnavn17l7UrV66UzWYL2RISEi65YQDRjZERABcKO4y8++67mjt3rp599ll99tlnGjNmjPLz89XY2NjlOQ6HQ16vN7gdOnSoR00DiF7c2gvgQmGHkZdfflmzZs3Sww8/rJtuuknLli3T1VdfrTfeeKPLc2w2m5KSkoLbkCFDetQ0gOjFZRoAFworjJw9e1Y7d+7U5MmT//wGcXGaPHmyampqujzv5MmTGjlypFJSUvTTn/5U//3f/33Rz2lvb1dLS0vIBiA2tLe3R7QOQPQLK4wcO3ZMPp/vOyMbQ4YMUX19fafnXH/99XrjjTe0fv16vf322/L7/crOztaXX37Z5eeUlJTI6XQGt5SUlHDaBHAFY84IgAtd9rtpsrKyNHPmTI0dO1Z33nmnPB6PBg0apN/97nddnlNcXKzm5ubgdvjw4cvdJgCLxMV175+d7tYBiH5hzRBLTEyU3W5XQ0NDyP6GhgYlJSV16z2uuuoqZWZmat++fV3WxMfHKz4+PpzWAEQJFj0DcKGw/uvRt29fjRs3TpWVlcF9fr9flZWVysrK6tZ7+Hw+7d69W8nJyeF1CiAmcJkGwIXCvndu7ty5evDBB3Xrrbdq/PjxeuWVV9TW1qaHH35YkjRz5kwNGzZMJSUlkqQXXnhBEydOVHp6uk6cOKGFCxfq0KFDevTRRyP7TQAAQFQKO4xMnz5dTU1NeuaZZ1RfX6+xY8dq48aNwUmtdXV1Idd6jx8/rlmzZqm+vl4//OEPNW7cOG3btk033XRT5L4FgKjBrb0ALmQLRMGF2ZaWFjmdTjU3N8vhcJhuB0APhHP5JQr+eQJwEd39/Wa6OgAAMIowAsBSTGAFcCHCCABLcWsvgAsRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEZdUhhZsmSJUlNTlZCQoAkTJmj79u0XrV+zZo1uuOEGJSQkyOVy6YMPPrikZgEAQOwJO4y8++67mjt3rp599ll99tlnGjNmjPLz89XY2Nhp/bZt23T//ffrkUce0eeffy632y23263a2toeNw8AAKKfLRAIBMI5YcKECbrtttv02muvSZL8fr9SUlL0D//wD/qnf/qn79RPnz5dbW1tqqioCO6bOHGixo4dq2XLlnXrM1taWuR0OtXc3CyHwxFOuwCuMDabrdu1Yf7zBOAK093f7z7hvOnZs2e1c+dOFRcXB/fFxcVp8uTJqqmp6fScmpoazZ07N2Rffn6+ysvLu/yc9vZ2tbe3B1+3tLSE0yaALhxtbta7u3b2+H1On/Wp7uu2Szo3YWRCt2sfe7c87PcfMeAa9etrD/u8CyU5E+TOyFS/Pv16/F4ALi6sMHLs2DH5fD4NGTIkZP+QIUP0f//3f52eU19f32l9fX19l59TUlKi559/PpzWAHTDu7t26o2Dc4z2kP58erdrPz7zdNjv//HRsE/p0oBrVir/unGRe0MAnQorjFiluLg4ZDSlpaVFKSkpBjsCYsP0seMkvdrj9+nJyMib/+/+btc++NKqsN8/kiMjd6Td1OP3AfD9wgojiYmJstvtamhoCNnf0NCgpKSkTs9JSkoKq16S4uPjFR8fH05rALphqNOpX975Y6M9/O7nZ7pdu2y6+/I1AuCKEdbdNH379tW4ceNUWVkZ3Of3+1VZWamsrKxOz8nKygqpl6RNmzZ1WQ8AAHqXsC/TzJ07Vw8++KBuvfVWjR8/Xq+88ora2tr08MMPS5JmzpypYcOGqaSkRJI0Z84c3XnnnSotLdW0adO0evVq7dixQ8uXL4/sNwEAAFEp7DAyffp0NTU16ZlnnlF9fb3Gjh2rjRs3Biep1tXVKS7uzwMu2dnZeuedd/Qv//Ivmj9/vq677jqVl5crIyMjct8CAABErbDXGTGBdUaA2ME6I0Dv0d3fb55NAwAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMALNW/f/+I1gGIfoQRAJYaPHhwROsARD/CCABLOZ3OiNYBiH6EEQCWGj9+fETrAEQ/loMHYKnm5mZde+2131t34sQJRkeAKMdy8ACuSK+//npE6wBEP8IIAEt99NFHkrq+DNOxv6MOQOwjjACw1A9+8ANJ0t/8zd/o1KlTKioq0pQpU1RUVKRTp07pgQceCKkDEPuYMwLAUh9++KHy8/M1YMAANTQ0qE+fPsFj58+f1+DBg3X8+HH98Y9/1JQpUwx2CqCnmDMC4Ip01113yeFw6Ouvv9bw4cO1fPlyHT16VMuXL9fw4cN1/PhxORwO3XXXXaZbBWCRPt9fAgCRY7fbtWLFCv3sZz9TY2OjfvGLXwSP2Ww2SdKKFStkt9tNtQjAYoyMALBcQUGB1q5dqxEjRoTsHzlypNauXauCggJDnQEwgTkjAIzx+Xyqrq6W1+tVcnKycnJyGBEBYkh3f7+5TAPAGLvdrtzcXNNtADCMyzQAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAqKhYgbVjxfqWlhbDnQAAgO7q+N3+vifPREUYaW1tlSSlpKQY7gQAAISrtbVVTqezy+NR8aA8v9+vo0ePqn///sFHjAOIDS0tLUpJSdHhw4d5ECYQYwKBgFpbWzV06FDFxXU9MyQqwgiA2MVTuQEwgRUAABhFGAEAAEYRRgAYFR8fr2effVbx8fGmWwFgCHNGAACAUYyMAAAAowgjAADAKMIIAAAwijAC4Ipz6tQp/exnP5PD4ZDNZtOJEyeUmpqqV155xXRrAC6DqFgOHkDv8uabb6q6ulrbtm1TYmKinE6nPv30U11zzTXBGpvNpnXr1sntdptrFEBEEEYAWObs2bPq27fv99bt379fN954ozIyMoL7Bg0adDlbA2AQl2kAXLLc3FzNnj1bs2fPltPpVGJiop5++ungEzpTU1P14osvaubMmXI4HPq7v/s7SdLatWt18803Kz4+XqmpqSotLQ15z9LSUm3dulU2m025ubnB9+q4TJOamipJ+uu//mvZbLbgawDRiTACoEfefPNN9enTR9u3b9err76ql19+Wa+//nrw+KJFizRmzBh9/vnnevrpp7Vz507dd999+vnPf67du3frueee09NPP62VK1dKkjwej2bNmqWsrCx5vV55PJ7vfOann34qSVqxYoW8Xm/wNYDoxGUaAD2SkpKixYsXy2az6frrr9fu3bu1ePFizZo1S5L04x//WPPmzQvWP/DAA7rrrrv09NNPS5JGjx6t//mf/9HChQv10EMPacCAAbr66qvVt29fJSUldfqZHZdsrr322i5rAEQPRkYA9MjEiRNls9mCr7OysrR37175fD5J0q233hpS/7//+7+aNGlSyL5JkyaFnAOgdyGMALisvn0HDAB0hjACoEf+67/+K+T1J598ouuuu052u73T+htvvFEff/xxyL6PP/5Yo0eP7vKczlx11VWMpAAxgjACoEfq6uo0d+5c7dmzR6tWrdJvfvMbzZkzp8v6efPmqbKyUi+++KL+9Kc/6c0339Rrr72mJ598MqzPTU1NVWVlperr63X8+PGefg0ABhFGAPTIzJkzdfr0aY0fP15FRUWaM2dO8Bbeztxyyy167733tHr1amVkZOiZZ57RCy+8oIceeiiszy0tLdWmTZuUkpKizMzMHn4LACbZAh0LAgBAmHJzczV27FiWaQfQI4yMAAAAowgjAADAKC7TAAAAoxgZAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEb9fwzjeiHqBwkdAAAAAElFTkSuQmCC\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["movies_data[\"profit\"].plot(kind = \"box\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":449},"executionInfo":{"elapsed":617,"status":"ok","timestamp":1702202917659,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"VMuEeFoTfYE7","outputId":"061a2896-e9c7-4f92-814a-3c700281820b"},"outputs":[{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.boxplot(data = movies_data, x = \"profit\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":449},"executionInfo":{"elapsed":387,"status":"ok","timestamp":1702202920384,"user":{"displayName":"Nouval 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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.boxplot(data = movies_data, x = \"runtime\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1702202923532,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"roCK1G03fsmv","outputId":"cb43c411-15c2-4ad9-93f4-bf325f1c32b4"},"outputs":[{"data":{"text/plain":["1578210.8999999824"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["movies_data[\"profit\"].quantile(0.9)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":374},"executionInfo":{"elapsed":571,"status":"error","timestamp":1702202899296,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"KEn9Y9a6gX22","outputId":"ec9836ab-6c8a-4086-be6f-b11fd2dbfb75"},"outputs":[{"ename":"ValueError","evalue":"ignored","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u003cipython-input-11-d620a0efca9a\u003e\u001b[0m in \u001b[0;36m\u003ccell line: 1\u003e\u001b[0;34m()\u001b[0m\n\u001b[0;32m----\u003e 1\u001b[0;31m sns.scatterplot(data = movies_data,\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"runtime\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m y = \"profit\")\n\u001b[1;32m 4\u001b[0m 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variables)\u001b[0m\n\u001b[1;32m 638\u001b[0m \u001b[0;31m# information for numeric axes would be information about log scales.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_var_ordered\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"x\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"y\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m}\u001b[0m \u001b[0;31m# alt., used DefaultDict\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--\u003e 640\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massign_variables\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 641\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 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\u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: Could not interpret value `profit` for parameter `y`"]}],"source":["sns.scatterplot(data = movies_data,\n"," x = \"runtime\",\n"," y = \"profit\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true},"id":"s5Z-qFIcg4dQ"},"outputs":[],"source":["profitable_movies = movies_data[movies_data[\"profit\"] \u003e 0]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"executionInfo":{"elapsed":737,"status":"ok","timestamp":1701352630183,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"imsWL_XyhKfl","outputId":"eb1c5dd6-7837-499c-ce9d-b6fd9e179975"},"outputs":[{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.scatterplot(data = profitable_movies,\n"," x = \"runtime\",\n"," y = \"profit\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"QU7V6-h0hOJJ"},"outputs":[],"source":["rating = pd.read_csv(\"ratings_small.csv\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"VFek1aThhYVE"},"outputs":[],"source":["rating_movies = rating.groupby(\"movieId\", as_index = False)[\"rating\"].median()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":466},"executionInfo":{"elapsed":540,"status":"ok","timestamp":1701352765890,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"EcNSeLofhZvh","outputId":"53de41e9-7303-4ff0-c98d-f8a93bed26c9"},"outputs":[{"data":{"text/plain":["\u003cAxes: xlabel='rating', ylabel='Count'\u003e"]},"execution_count":44,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.histplot(data = rating_movies,\n"," x = \"rating\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"mHvcCu1Qhmn0"},"outputs":[],"source":["rating_movies[\"good_movies\"] = rating_movies[\"rating\"] \u003e= 3"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":427,"status":"ok","timestamp":1702213499560,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"5yTDxHxQh4OX","outputId":"0a0de4bf-459e-4f58-aed3-38e57469c133"},"outputs":[{"data":{"text/plain":["\u003cAxes: ylabel='good_movies'\u003e"]},"execution_count":11,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["rating_movies[\"good_movies\"].value_counts().plot(kind = \"pie\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qI-KuOG4h8Ul"},"outputs":[],"source":["new_df = movies_data.merge(rating_movies,\n"," left_on = \"id\",\n"," right_on = \"movieId\",\n"," how = \"inner\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":466},"executionInfo":{"elapsed":1252,"status":"ok","timestamp":1701353036147,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"clVKV4Rzik6I","outputId":"b775dc32-1f31-4a02-9742-ddf835f69648"},"outputs":[{"data":{"text/plain":["\u003cAxes: xlabel='profit', ylabel='Count'\u003e"]},"execution_count":59,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.histplot(data = new_df,\n"," x = \"profit\",\n"," hue = \"good_movies\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":482},"executionInfo":{"elapsed":535,"status":"ok","timestamp":1701353119687,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"LPtJg7Sqiq7H","outputId":"a1de29a8-54ff-4cf0-ed04-465ddecc3af8"},"outputs":[{"data":{"text/plain":["\u003cAxes: xlabel='rating', ylabel='profit'\u003e"]},"execution_count":63,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["sns.scatterplot(data = new_df,\n"," x = \"rating\",\n"," y = \"profit\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":325,"status":"ok","timestamp":1701353097284,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"_lkeHnwbi54T","outputId":"4a23263e-dabe-4673-a955-c0b7dcfeb74d"},"outputs":[{"data":{"text/html":["\n"," \u003cdiv id=\"df-e513668b-df94-4cde-88d8-86fbc7dd52f3\" class=\"colab-df-container\"\u003e\n"," \u003cdiv\u003e\n","\u003cstyle scoped\u003e\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","\u003c/style\u003e\n","\u003ctable border=\"1\" class=\"dataframe\"\u003e\n"," 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Visit the ' +\n"," '\u003ca target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb\u003edata table notebook\u003c/a\u003e'\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"," \u003c/script\u003e\n"," \u003c/div\u003e\n","\n","\n","\u003cdiv id=\"df-12e37e89-3a16-4ad5-8288-e1888870adc1\"\u003e\n"," \u003cbutton class=\"colab-df-quickchart\" onclick=\"quickchart('df-12e37e89-3a16-4ad5-8288-e1888870adc1')\"\n"," title=\"Suggest charts\"\n"," style=\"display:none;\"\u003e\n","\n","\u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\"\u003e\n"," \u003cg\u003e\n"," \u003cpath 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\"/\u003e\n"," \u003c/g\u003e\n","\u003c/svg\u003e\n"," \u003c/button\u003e\n","\n","\u003cstyle\u003e\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"," }\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","\u003c/style\u003e\n","\n"," \u003cscript\u003e\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"," (() =\u003e {\n"," let quickchartButtonEl =\n"," document.querySelector('#df-12e37e89-3a16-4ad5-8288-e1888870adc1 button');\n"," quickchartButtonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n"," })();\n"," \u003c/script\u003e\n","\u003c/div\u003e\n"," \u003c/div\u003e\n"," \u003c/div\u003e\n"],"text/plain":[" rating\n","0 3.75\n","1 1.50\n","2 3.50\n","3 5.00\n","4 3.00\n","... ...\n","1027 3.00\n","1028 4.00\n","1029 4.00\n","1030 4.00\n","1031 4.50\n","\n","[1032 rows x 1 columns]"]},"execution_count":61,"metadata":{},"output_type":"execute_result"}],"source":["new_df[[\"rating\"]]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":450},"executionInfo":{"elapsed":753,"status":"ok","timestamp":1701353496966,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"42KBH_rYjANH","outputId":"fad79ab0-d8d3-4b98-a970-b6b2139341dd"},"outputs":[{"data":{"text/plain":["\u003cAxes: \u003e"]},"execution_count":80,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["\u003cFigure size 640x480 with 1 Axes\u003e"]},"metadata":{},"output_type":"display_data"}],"source":["new_df[\"original_language\"].value_counts().plot(kind = \"bar\")"]},{"cell_type":"markdown","metadata":{"id":"pidRR2Fj5H8h"},"source":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":415,"status":"ok","timestamp":1702214513562,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"m4dPu-CriTMF","outputId":"a182430d-b606-4158-f7ae-5c817f033e78"},"outputs":[{"data":{"text/html":["\n"," \u003cdiv id=\"df-e4d0deb8-dc7c-4c56-a556-bc75ed503c35\" class=\"colab-df-container\"\u003e\n"," \u003cdiv\u003e\n","\u003cstyle scoped\u003e\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"," 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Visit the ' +\n"," '\u003ca target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb\u003edata table notebook\u003c/a\u003e'\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"," \u003c/script\u003e\n"," \u003c/div\u003e\n","\n","\n","\u003cdiv id=\"df-f26ba92d-376d-4bd2-bb43-c72d13a0e7eb\"\u003e\n"," \u003cbutton class=\"colab-df-quickchart\" onclick=\"quickchart('df-f26ba92d-376d-4bd2-bb43-c72d13a0e7eb')\"\n"," title=\"Suggest charts\"\n"," style=\"display:none;\"\u003e\n","\n","\u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\"\u003e\n"," \u003cg\u003e\n"," \u003cpath 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\"/\u003e\n"," \u003c/g\u003e\n","\u003c/svg\u003e\n"," \u003c/button\u003e\n","\n","\u003cstyle\u003e\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"," }\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","\u003c/style\u003e\n","\n"," \u003cscript\u003e\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"," (() =\u003e {\n"," let quickchartButtonEl =\n"," document.querySelector('#df-f26ba92d-376d-4bd2-bb43-c72d13a0e7eb button');\n"," quickchartButtonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 'block' : 'none';\n"," })();\n"," \u003c/script\u003e\n","\u003c/div\u003e\n"," \u003c/div\u003e\n"," \u003c/div\u003e\n"],"text/plain":[" budget id popularity revenue runtime vote_average \\\n","0 60000000 949 17.924927 187436818.0 170.0 7.7 \n","1 58000000 710 14.686036 352194034.0 130.0 6.6 \n","2 98000000 1408 7.284477 10017322.0 119.0 5.7 \n","3 52000000 524 10.137389 116112375.0 178.0 7.8 \n","4 16500000 4584 10.673167 135000000.0 136.0 7.2 \n","... ... ... ... ... ... ... \n","2826 0 80831 0.083371 0.0 121.0 6.5 \n","2827 0 3104 2.302582 0.0 92.0 5.9 \n","2828 0 64197 0.528657 0.0 97.0 6.0 \n","2829 0 98604 0.803588 0.0 91.0 4.6 \n","2830 0 49280 1.109068 0.0 1.0 6.5 \n","\n"," vote_count movieId rating \n","0 1886.0 949 3.75 \n","1 1194.0 710 1.50 \n","2 137.0 1408 4.00 \n","3 1343.0 524 3.50 \n","4 364.0 4584 5.00 \n","... ... ... ... \n","2826 2.0 80831 3.25 \n","2827 33.0 3104 4.00 \n","2828 5.0 64197 4.00 \n","2829 6.0 98604 4.00 \n","2830 22.0 49280 5.00 \n","\n","[2831 rows x 9 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["new_df.select_dtypes(include = \"number\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ZQgQSc365Vqr"},"outputs":[],"source":["def select_columns(df: pd.DataFrame, features: list, target: list = \"rating\"):\n","\n"," df = df.dropna().reset_index(drop = True)\n"," X = df[features]\n"," y = (df[target] \u003e= 3).astype(\"int\")\n","\n"," return X, y"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1OIxcj2O5prI"},"outputs":[],"source":["from sklearn.model_selection import train_test_split"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"aMaEsmVH5w-q"},"outputs":[],"source":["features = [\"budget\", \"popularity\", \"vote_average\"]\n","X, y = select_columns(new_df, features = features)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"picUpYo251Vc"},"outputs":[],"source":["X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 42)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"G45EslyN6PE8"},"outputs":[],"source":["from sklearn.preprocessing import MinMaxScaler"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"WcjH4q_w6gZ9"},"outputs":[],"source":["minmax = MinMaxScaler()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":74},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1702216490150,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"nuUN-ApU6pgh","outputId":"2cd56ac5-2cf5-456c-9f4d-8670decadef2"},"outputs":[{"data":{"text/html":["\u003cstyle\u003e#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}\u003c/style\u003e\u003cdiv id=\"sk-container-id-3\" class=\"sk-top-container\"\u003e\u003cdiv class=\"sk-text-repr-fallback\"\u003e\u003cpre\u003eMinMaxScaler()\u003c/pre\u003e\u003cb\u003eIn a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. \u003cbr /\u003eOn GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.\u003c/b\u003e\u003c/div\u003e\u003cdiv class=\"sk-container\" hidden\u003e\u003cdiv class=\"sk-item\"\u003e\u003cdiv class=\"sk-estimator sk-toggleable\"\u003e\u003cinput class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked\u003e\u003clabel for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"\u003eMinMaxScaler\u003c/label\u003e\u003cdiv class=\"sk-toggleable__content\"\u003e\u003cpre\u003eMinMaxScaler()\u003c/pre\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e"],"text/plain":["MinMaxScaler()"]},"execution_count":90,"metadata":{},"output_type":"execute_result"}],"source":["minmax.fit(X_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-ltNWz6v69lZ"},"outputs":[],"source":["def scaling(df, scaler):\n","\n"," # df[\"runtime\t\"] = df[\"runtime\"].div(60)\n","\n"," scaled_array = scaler.transform(df)\n"," scaled_df = pd.DataFrame(scaled_array, columns = scaler.get_feature_names_out())\n","\n"," return scaled_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true},"id":"gvkcah1o6--y"},"outputs":[],"source":["X_train_scaled = scaling(X_train, minmax)\n","X_test_scaled = scaling(X_test, minmax)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1702216085239,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"O24rOfHg7cDZ","outputId":"bea77789-52b6-471e-a7f4-5fd6b0e116d8"},"outputs":[{"data":{"text/plain":["budget 0.000000\n","popularity 0.006914\n","runtime 0.303125\n","vote_average 0.300000\n","Name: 0, dtype: float64"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["X_test_scaled.iloc[0]"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"vqaQsNVM71E8"},"outputs":[],"source":["from sklearn.neighbors import KNeighborsClassifier\n","from sklearn.tree import DecisionTreeClassifier"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"YJ6VK5Us_EJC"},"outputs":[],"source":["knn = KNeighborsClassifier(n_neighbors = 5)\n","dt = DecisionTreeClassifier()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":74},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1702216912183,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"QhvW9AZ1_0DC","outputId":"7db93d96-165f-4f5a-ac42-8654ef96daf2"},"outputs":[{"data":{"text/html":["\u003cstyle\u003e#sk-container-id-7 {color: black;background-color: white;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}\u003c/style\u003e\u003cdiv id=\"sk-container-id-7\" class=\"sk-top-container\"\u003e\u003cdiv class=\"sk-text-repr-fallback\"\u003e\u003cpre\u003eDecisionTreeClassifier()\u003c/pre\u003e\u003cb\u003eIn a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. \u003cbr /\u003eOn GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.\u003c/b\u003e\u003c/div\u003e\u003cdiv class=\"sk-container\" hidden\u003e\u003cdiv class=\"sk-item\"\u003e\u003cdiv class=\"sk-estimator sk-toggleable\"\u003e\u003cinput class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked\u003e\u003clabel for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\"\u003eDecisionTreeClassifier\u003c/label\u003e\u003cdiv class=\"sk-toggleable__content\"\u003e\u003cpre\u003eDecisionTreeClassifier()\u003c/pre\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e"],"text/plain":["DecisionTreeClassifier()"]},"execution_count":114,"metadata":{},"output_type":"execute_result"}],"source":["knn.fit(X_train_scaled, y_train)\n","dt.fit(X_train_scaled, y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Sm0qNi9N_5Id"},"outputs":[],"source":["y_train_pred_knn = knn.predict(X_train_scaled)\n","y_train_pred_dt = dt.predict(X_train_scaled)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-it_fHYUAB8R"},"outputs":[],"source":["y_test_pred_knn = knn.predict(X_test_scaled)\n","y_test_pred_dt = dt.predict(X_test_scaled)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1702216958135,"user":{"displayName":"Nouval Habibie","userId":"17461438398615743973"},"user_tz":-420},"id":"oQyoxdivAyk0","outputId":"37164a8a-eb14-44ed-cc96-d4668d25b3d7"},"outputs":[{"data":{"text/html":["\n"," \u003cdiv id=\"df-f82663cc-b208-452a-8ea5-d73da6a05750\" class=\"colab-df-container\"\u003e\n"," \u003cdiv\u003e\n","\u003cstyle scoped\u003e\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","\u003c/style\u003e\n","\u003ctable border=\"1\" class=\"dataframe\"\u003e\n"," \u003cthead\u003e\n"," \u003ctr style=\"text-align: right;\"\u003e\n"," \u003cth\u003ecol_0\u003c/th\u003e\n"," \u003cth\u003e0\u003c/th\u003e\n"," 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height=\"24px\" viewBox=\"0 -960 960 960\"\u003e\n"," \u003cpath d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/\u003e\n"," \u003c/svg\u003e\n"," \u003c/button\u003e\n","\n"," \u003cstyle\u003e\n"," .colab-df-container {\n"," display:flex;\n"," gap: 12px;\n"," }\n","\n"," .colab-df-convert {\n"," background-color: #E8F0FE;\n"," border: none;\n"," border-radius: 50%;\n"," cursor: pointer;\n"," display: none;\n"," fill: #1967D2;\n"," height: 32px;\n"," padding: 0 0 0 0;\n"," width: 32px;\n"," }\n","\n"," .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: 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Visit the ' +\n"," '\u003ca target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb\u003edata table notebook\u003c/a\u003e'\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"," \u003c/script\u003e\n"," \u003c/div\u003e\n","\n","\n","\u003cdiv id=\"df-218dee32-2d48-4fe1-96eb-b1bb6d07e243\"\u003e\n"," \u003cbutton class=\"colab-df-quickchart\" onclick=\"quickchart('df-218dee32-2d48-4fe1-96eb-b1bb6d07e243')\"\n"," title=\"Suggest charts\"\n"," style=\"display:none;\"\u003e\n","\n","\u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\"\u003e\n"," \u003cg\u003e\n"," \u003cpath 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\"/\u003e\n"," \u003c/g\u003e\n","\u003c/svg\u003e\n"," \u003c/button\u003e\n","\n","\u003cstyle\u003e\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"," }\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","\u003c/style\u003e\n","\n"," \u003cscript\u003e\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"," (() =\u003e {\n"," let quickchartButtonEl =\n"," document.querySelector('#df-218dee32-2d48-4fe1-96eb-b1bb6d07e243 button');\n"," quickchartButtonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 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Visit the ' +\n"," '\u003ca target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb\u003edata table notebook\u003c/a\u003e'\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"," \u003c/script\u003e\n"," \u003c/div\u003e\n","\n","\n","\u003cdiv id=\"df-a7a01073-92a4-427a-a15c-c2986f76ab7a\"\u003e\n"," \u003cbutton class=\"colab-df-quickchart\" onclick=\"quickchart('df-a7a01073-92a4-427a-a15c-c2986f76ab7a')\"\n"," title=\"Suggest charts\"\n"," style=\"display:none;\"\u003e\n","\n","\u003csvg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n"," width=\"24px\"\u003e\n"," \u003cg\u003e\n"," \u003cpath 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\"/\u003e\n"," \u003c/g\u003e\n","\u003c/svg\u003e\n"," \u003c/button\u003e\n","\n","\u003cstyle\u003e\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"," }\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","\u003c/style\u003e\n","\n"," \u003cscript\u003e\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"," (() =\u003e {\n"," let quickchartButtonEl =\n"," document.querySelector('#df-a7a01073-92a4-427a-a15c-c2986f76ab7a button');\n"," quickchartButtonEl.style.display =\n"," google.colab.kernel.accessAllowed ? 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