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Student_Performance
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Student_Performance
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{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/fehu94/student-performance-data-preprocessing?scriptVersionId=204005318\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"code","execution_count":1,"id":"787dee13","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2024-10-28T22:54:49.116283Z","iopub.status.busy":"2024-10-28T22:54:49.115759Z","iopub.status.idle":"2024-10-28T22:54:51.820135Z","shell.execute_reply":"2024-10-28T22:54:51.818692Z"},"papermill":{"duration":2.71316,"end_time":"2024-10-28T22:54:51.823762","exception":false,"start_time":"2024-10-28T22:54:49.110602","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":[" Hours_Studied Attendance Parental_Involvement Access_to_Resources \\\n","0 23 84 Low High \n","1 19 64 Low Medium \n","2 24 98 Medium Medium \n","3 29 89 Low Medium \n","4 19 92 Medium Medium \n","\n"," Extracurricular_Activities Sleep_Hours Previous_Scores Motivation_Level \\\n","0 No 7 73 Low \n","1 No 8 59 Low \n","2 Yes 7 91 Medium \n","3 Yes 8 98 Medium \n","4 Yes 6 65 Medium \n","\n"," Internet_Access Tutoring_Sessions Family_Income Teacher_Quality \\\n","0 Yes 0 Low Medium \n","1 Yes 2 Medium Medium \n","2 Yes 2 Medium Medium \n","3 Yes 1 Medium Medium \n","4 Yes 3 Medium High \n","\n"," School_Type Peer_Influence Physical_Activity Learning_Disabilities \\\n","0 Public Positive 3 No \n","1 Public Negative 4 No \n","2 Public Neutral 4 No \n","3 Public Negative 4 No \n","4 Public Neutral 4 No \n","\n"," Parental_Education_Level Distance_from_Home Gender Exam_Score \n","0 High School Near Male 67 \n","1 College Moderate Female 61 \n","2 Postgraduate Near Male 74 \n","3 High School Moderate Male 71 \n","4 College Near Female 70 \n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 6607 entries, 0 to 6606\n","Data columns (total 20 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 Hours_Studied 6607 non-null int64 \n"," 1 Attendance 6607 non-null int64 \n"," 2 Parental_Involvement 6607 non-null object\n"," 3 Access_to_Resources 6607 non-null object\n"," 4 Extracurricular_Activities 6607 non-null object\n"," 5 Sleep_Hours 6607 non-null int64 \n"," 6 Previous_Scores 6607 non-null int64 \n"," 7 Motivation_Level 6607 non-null object\n"," 8 Internet_Access 6607 non-null object\n"," 9 Tutoring_Sessions 6607 non-null int64 \n"," 10 Family_Income 6607 non-null object\n"," 11 Teacher_Quality 6529 non-null object\n"," 12 School_Type 6607 non-null object\n"," 13 Peer_Influence 6607 non-null object\n"," 14 Physical_Activity 6607 non-null int64 \n"," 15 Learning_Disabilities 6607 non-null object\n"," 16 Parental_Education_Level 6517 non-null object\n"," 17 Distance_from_Home 6540 non-null object\n"," 18 Gender 6607 non-null object\n"," 19 Exam_Score 6607 non-null int64 \n","dtypes: int64(7), object(13)\n","memory usage: 1.0+ MB\n","None\n"]}],"source":["import pandas as pd\n","import numpy as np\n","from scipy.stats import skew, kurtosis\n","from scipy import stats \n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.preprocessing import StandardScaler\n","\n","\n","# Veriyi okuyalım\n","df = pd.read_csv('/kaggle/input/student-performance-factors/StudentPerformanceFactors.csv')\n","\n","# Sonsuz değerleri NaN olarak değiştirelim (inf ve -inf değerleri)\n","df.replace([np.inf, -np.inf], np.nan, inplace=True)\n","\n","# İlk birkaç satıra göz atalım\n","print(df.head())\n","\n","# Verinin genel yapısını kontrol edelim\n","print(df.info())\n"]},{"cell_type":"code","execution_count":2,"id":"68f9d39f","metadata":{"execution":{"iopub.execute_input":"2024-10-28T22:54:51.834644Z","iopub.status.busy":"2024-10-28T22:54:51.834219Z","iopub.status.idle":"2024-10-28T22:54:51.848711Z","shell.execute_reply":"2024-10-28T22:54:51.847627Z"},"papermill":{"duration":0.023638,"end_time":"2024-10-28T22:54:51.852256","exception":false,"start_time":"2024-10-28T22:54:51.828618","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Parental_Involvement sütununun benzersiz değerleri:\n","['Low' 'Medium' 'High']\n","-----------\n","Access_to_Resources sütununun benzersiz değerleri:\n","['High' 'Medium' 'Low']\n","-----------\n","Extracurricular_Activities sütununun benzersiz değerleri:\n","['No' 'Yes']\n","-----------\n","Motivation_Level sütununun benzersiz değerleri:\n","['Low' 'Medium' 'High']\n","-----------\n","Internet_Access sütununun benzersiz değerleri:\n","['Yes' 'No']\n","-----------\n","Family_Income sütununun benzersiz değerleri:\n","['Low' 'Medium' 'High']\n","-----------\n","Teacher_Quality sütununun benzersiz değerleri:\n","['Medium' 'High' 'Low' nan]\n","-----------\n","School_Type sütununun benzersiz değerleri:\n","['Public' 'Private']\n","-----------\n","Peer_Influence sütununun benzersiz değerleri:\n","['Positive' 'Negative' 'Neutral']\n","-----------\n","Learning_Disabilities sütununun benzersiz değerleri:\n","['No' 'Yes']\n","-----------\n","Parental_Education_Level sütununun benzersiz değerleri:\n","['High School' 'College' 'Postgraduate' nan]\n","-----------\n","Distance_from_Home sütununun benzersiz değerleri:\n","['Near' 'Moderate' 'Far' nan]\n","-----------\n","Gender sütununun benzersiz değerleri:\n","['Male' 'Female']\n","-----------\n"]}],"source":["# Kategorik sütunlardaki benzersiz değerleri görmek\n","categorical_columns = df.select_dtypes(include='object').columns\n","\n","for col in categorical_columns:\n"," print(f\"{col} sütununun benzersiz değerleri:\")\n"," print(df[col].unique())\n"," print(\"-----------\")\n"]},{"cell_type":"code","execution_count":3,"id":"9c3cdef9","metadata":{"execution":{"iopub.execute_input":"2024-10-28T22:54:51.87367Z","iopub.status.busy":"2024-10-28T22:54:51.872442Z","iopub.status.idle":"2024-10-28T22:54:51.933055Z","shell.execute_reply":"2024-10-28T22:54:51.931938Z"},"papermill":{"duration":0.079777,"end_time":"2024-10-28T22:54:51.937003","exception":false,"start_time":"2024-10-28T22:54:51.857226","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":[" Hours_Studied Attendance Parental_Involvement Access_to_Resources \\\n","0 23 84 0 2 \n","1 19 64 0 1 \n","2 24 98 1 1 \n","3 29 89 0 1 \n","4 19 92 1 1 \n","\n"," Extracurricular_Activities Sleep_Hours Previous_Scores Motivation_Level \\\n","0 0 7 73 0 \n","1 0 8 59 0 \n","2 1 7 91 1 \n","3 1 8 98 1 \n","4 1 6 65 1 \n","\n"," Internet_Access Tutoring_Sessions Family_Income Teacher_Quality \\\n","0 1 0 0 1.0 \n","1 1 2 1 1.0 \n","2 1 2 1 1.0 \n","3 1 1 1 1.0 \n","4 1 3 1 2.0 \n","\n"," School_Type Peer_Influence Physical_Activity Learning_Disabilities \\\n","0 0 1 3 0 \n","1 0 0 4 0 \n","2 0 2 4 0 \n","3 0 0 4 0 \n","4 0 2 4 0 \n","\n"," Parental_Education_Level Distance_from_Home Gender Exam_Score \n","0 0.0 0.0 0 67 \n","1 1.0 1.0 1 61 \n","2 2.0 0.0 0 74 \n","3 0.0 1.0 0 71 \n","4 1.0 0.0 1 70 \n"]}],"source":["import pandas as pd\n","\n","# Veri çerçevesini yükleme\n","df = pd.read_csv('/kaggle/input/student-performance-factors/StudentPerformanceFactors.csv')\n","\n","# Kategorik değişkenleri sayısal değerlere dönüştürme\n","def encode_column(column, mapping):\n"," return column.map(mapping)\n","\n","# Her sütun için benzersiz değerler ve karşılık gelen sayısal değerler\n","mappings = {\n"," 'Parental_Involvement': {'Low': 0, 'Medium': 1, 'High': 2},\n"," 'Access_to_Resources': {'High': 2, 'Medium': 1, 'Low': 0},\n"," 'Extracurricular_Activities': {'No': 0, 'Yes': 1},\n"," 'Motivation_Level': {'Low': 0, 'Medium': 1, 'High': 2},\n"," 'Internet_Access': {'Yes': 1, 'No': 0},\n"," 'Family_Income': {'Low': 0, 'Medium': 1, 'High': 2},\n"," 'Teacher_Quality': {'Medium': 1, 'High': 2, 'Low': 0},\n"," 'School_Type': {'Public': 0, 'Private': 1},\n"," 'Peer_Influence': {'Positive': 1, 'Negative': 0, 'Neutral': 2},\n"," 'Learning_Disabilities': {'No': 0, 'Yes': 1},\n"," 'Parental_Education_Level': {'High School': 0, 'College': 1, 'Postgraduate': 2},\n"," 'Gender': {'Male': 0, 'Female': 1},\n"," 'Distance_from_Home': {'Near': 0, 'Moderate': 1, 'Far': 2}\n","}\n","\n","# Her sütun için kodlama işlemi\n","for column, mapping in mappings.items():\n"," df[column] = encode_column(df[column], mapping)\n","\n","# Sonuçları görüntüleme\n","print(df.head())\n"]},{"cell_type":"code","execution_count":4,"id":"1bad4776","metadata":{"execution":{"iopub.execute_input":"2024-10-28T22:54:51.94881Z","iopub.status.busy":"2024-10-28T22:54:51.947951Z","iopub.status.idle":"2024-10-28T22:54:52.024437Z","shell.execute_reply":"2024-10-28T22:54:52.023322Z"},"papermill":{"duration":0.086918,"end_time":"2024-10-28T22:54:52.028812","exception":false,"start_time":"2024-10-28T22:54:51.941894","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Veri Çerçevesi Bilgileri:\n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 6607 entries, 0 to 6606\n","Data columns (total 20 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 Hours_Studied 6607 non-null int64 \n"," 1 Attendance 6607 non-null int64 \n"," 2 Parental_Involvement 6607 non-null int64 \n"," 3 Access_to_Resources 6607 non-null int64 \n"," 4 Extracurricular_Activities 6607 non-null int64 \n"," 5 Sleep_Hours 6607 non-null int64 \n"," 6 Previous_Scores 6607 non-null int64 \n"," 7 Motivation_Level 6607 non-null int64 \n"," 8 Internet_Access 6607 non-null int64 \n"," 9 Tutoring_Sessions 6607 non-null int64 \n"," 10 Family_Income 6607 non-null int64 \n"," 11 Teacher_Quality 6529 non-null float64\n"," 12 School_Type 6607 non-null int64 \n"," 13 Peer_Influence 6607 non-null int64 \n"," 14 Physical_Activity 6607 non-null int64 \n"," 15 Learning_Disabilities 6607 non-null int64 \n"," 16 Parental_Education_Level 6517 non-null float64\n"," 17 Distance_from_Home 6540 non-null float64\n"," 18 Gender 6607 non-null int64 \n"," 19 Exam_Score 6607 non-null int64 \n","dtypes: float64(3), int64(17)\n","memory usage: 1.0 MB\n","None\n","\n","İlk 5 Satır:\n"," Hours_Studied Attendance Parental_Involvement Access_to_Resources \\\n","0 23 84 0 2 \n","1 19 64 0 1 \n","2 24 98 1 1 \n","3 29 89 0 1 \n","4 19 92 1 1 \n","\n"," Extracurricular_Activities Sleep_Hours Previous_Scores Motivation_Level \\\n","0 0 7 73 0 \n","1 0 8 59 0 \n","2 1 7 91 1 \n","3 1 8 98 1 \n","4 1 6 65 1 \n","\n"," Internet_Access Tutoring_Sessions Family_Income Teacher_Quality \\\n","0 1 0 0 1.0 \n","1 1 2 1 1.0 \n","2 1 2 1 1.0 \n","3 1 1 1 1.0 \n","4 1 3 1 2.0 \n","\n"," School_Type Peer_Influence Physical_Activity Learning_Disabilities \\\n","0 0 1 3 0 \n","1 0 0 4 0 \n","2 0 2 4 0 \n","3 0 0 4 0 \n","4 0 2 4 0 \n","\n"," Parental_Education_Level Distance_from_Home Gender Exam_Score \n","0 0.0 0.0 0 67 \n","1 1.0 1.0 1 61 \n","2 2.0 0.0 0 74 \n","3 0.0 1.0 0 71 \n","4 1.0 0.0 1 70 \n","\n","Betimleyici İstatistikler:\n"," Hours_Studied Attendance Parental_Involvement Access_to_Resources \\\n","count 6607.000000 6607.000000 6607.000000 6607.000000 \n","mean 19.975329 79.977448 1.086423 1.100197 \n","std 5.990594 11.547475 0.695521 0.698347 \n","min 1.000000 60.000000 0.000000 0.000000 \n","25% 16.000000 70.000000 1.000000 1.000000 \n","50% 20.000000 80.000000 1.000000 1.000000 \n","75% 24.000000 90.000000 2.000000 2.000000 \n","max 44.000000 100.000000 2.000000 2.000000 \n","\n"," Extracurricular_Activities Sleep_Hours Previous_Scores \\\n","count 6607.000000 6607.00000 6607.000000 \n","mean 0.596035 7.02906 75.070531 \n","std 0.490728 1.46812 14.399784 \n","min 0.000000 4.00000 50.000000 \n","25% 0.000000 6.00000 63.000000 \n","50% 1.000000 7.00000 75.000000 \n","75% 1.000000 8.00000 88.000000 \n","max 1.000000 10.00000 100.000000 \n","\n"," Motivation_Level Internet_Access Tutoring_Sessions Family_Income \\\n","count 6607.000000 6607.000000 6607.000000 6607.000000 \n","mean 0.906463 0.924474 1.493719 0.787649 \n","std 0.695798 0.264258 1.230570 0.742617 \n","min 0.000000 0.000000 0.000000 0.000000 \n","25% 0.000000 1.000000 1.000000 0.000000 \n","50% 1.000000 1.000000 1.000000 1.000000 \n","75% 1.000000 1.000000 2.000000 1.000000 \n","max 2.000000 1.000000 8.000000 2.000000 \n","\n"," Teacher_Quality School_Type Peer_Influence Physical_Activity \\\n","count 6529.000000 6607.000000 6607.000000 6607.000000 \n","mean 1.197580 0.304071 1.183896 2.967610 \n","std 0.599878 0.460048 0.752990 1.031231 \n","min 0.000000 0.000000 0.000000 0.000000 \n","25% 1.000000 0.000000 1.000000 2.000000 \n","50% 1.000000 0.000000 1.000000 3.000000 \n","75% 2.000000 1.000000 2.000000 4.000000 \n","max 2.000000 1.000000 2.000000 6.000000 \n","\n"," Learning_Disabilities Parental_Education_Level Distance_from_Home \\\n","count 6607.000000 6517.000000 6540.000000 \n","mean 0.105191 0.705693 0.506728 \n","std 0.306823 0.779920 0.671749 \n","min 0.000000 0.000000 0.000000 \n","25% 0.000000 0.000000 0.000000 \n","50% 0.000000 1.000000 0.000000 \n","75% 0.000000 1.000000 1.000000 \n","max 1.000000 2.000000 2.000000 \n","\n"," Gender Exam_Score \n","count 6607.000000 6607.000000 \n","mean 0.422733 67.235659 \n","std 0.494031 3.890456 \n","min 0.000000 55.000000 \n","25% 0.000000 65.000000 \n","50% 0.000000 67.000000 \n","75% 1.000000 69.000000 \n","max 1.000000 101.000000 \n","\n","Null Değerlerin Kontrolü:\n","Hours_Studied 0\n","Attendance 0\n","Parental_Involvement 0\n","Access_to_Resources 0\n","Extracurricular_Activities 0\n","Sleep_Hours 0\n","Previous_Scores 0\n","Motivation_Level 0\n","Internet_Access 0\n","Tutoring_Sessions 0\n","Family_Income 0\n","Teacher_Quality 78\n","School_Type 0\n","Peer_Influence 0\n","Physical_Activity 0\n","Learning_Disabilities 0\n","Parental_Education_Level 90\n","Distance_from_Home 67\n","Gender 0\n","Exam_Score 0\n","dtype: int64\n"]}],"source":["# Veri çerçevesinin temel bilgilerini görüntüleme\n","print(\"Veri Çerçevesi Bilgileri:\")\n","print(df.info()) # Sütun isimleri, veri tipleri ve null değerler hakkında bilgi\n","\n","print(\"\\nİlk 5 Satır:\")\n","print(df.head()) # İlk 5 satırı görüntüleme\n","\n","print(\"\\nBetimleyici İstatistikler:\")\n","print(df.describe()) # Sayısal sütunların betimleyici istatistikleri\n","\n","print(\"\\nNull Değerlerin Kontrolü:\")\n","print(df.isnull().sum()) # Null değerleri kontrol etme\n"]},{"cell_type":"code","execution_count":5,"id":"b7761584","metadata":{"execution":{"iopub.execute_input":"2024-10-28T22:54:52.042342Z","iopub.status.busy":"2024-10-28T22:54:52.041259Z","iopub.status.idle":"2024-10-28T22:54:52.055472Z","shell.execute_reply":"2024-10-28T22:54:52.05448Z"},"papermill":{"duration":0.023996,"end_time":"2024-10-28T22:54:52.058334","exception":false,"start_time":"2024-10-28T22:54:52.034338","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","Null Değerlerin Kontrolü (Doldurma Sonrası):\n","Hours_Studied 0\n","Attendance 0\n","Parental_Involvement 0\n","Access_to_Resources 0\n","Extracurricular_Activities 0\n","Sleep_Hours 0\n","Previous_Scores 0\n","Motivation_Level 0\n","Internet_Access 0\n","Tutoring_Sessions 0\n","Family_Income 0\n","Teacher_Quality 0\n","School_Type 0\n","Peer_Influence 0\n","Physical_Activity 0\n","Learning_Disabilities 0\n","Parental_Education_Level 0\n","Distance_from_Home 0\n","Gender 0\n","Exam_Score 0\n","dtype: int64\n"]}],"source":["# Kategorik sütunlar için en sık görülen değeri kullanarak doldurma\n","df['Teacher_Quality'] = df['Teacher_Quality'].fillna(df['Teacher_Quality'].mode()[0])\n","df['Parental_Education_Level'] = df['Parental_Education_Level'].fillna(df['Parental_Education_Level'].mode()[0])\n","df['Distance_from_Home'] = df['Distance_from_Home'].fillna(df['Distance_from_Home'].mode()[0])\n","\n","# Eksik değerleri kontrol etme\n","print(\"\\nNull Değerlerin Kontrolü (Doldurma Sonrası):\")\n","print(df.isnull().sum()) # Null değerleri kontrol etme\n","\n","# Tüm eksik değerlere sahip satırları kaldırma (isteğe bağlı)\n","# df.dropna(inplace=True) # Bu satırı kaldırabilirsiniz eğer doldurma işlemi yeterli ise\n"]},{"cell_type":"markdown","id":"0b7d5b68","metadata":{"papermill":{"duration":0.005101,"end_time":"2024-10-28T22:54:52.06909","exception":false,"start_time":"2024-10-28T22:54:52.063989","status":"completed"},"tags":[]},"source":["# Veri Yükleme ve Göz Atma\n","\n","İlk olarak, Kaggle'dan öğrenci performans faktörleri ile ilgili bir veri seti indirdim ve bu verileri incelemek için açtım. Böylece, verinin nasıl göründüğünü ve hangi bilgileri içerdiğini gözlemledim.\n","\n","---\n","\n","# Sonsuz Değerleri Temizleme\n","\n","Verilerde bazen sonsuz değerler (yani çok büyük veya çok küçük sayılar) olabilir. Ben de bu değerleri eksik değer (NaN) olarak değiştirdim; böylece analiz yaparken sorun yaşamayacağım.\n","\n","---\n","\n","# Kategorik Sütunları İnceleme\n","\n","Verideki bazı sütunlar (örneğin, ebeveyn katılımı gibi) kategorik değerler içeriyor. Bu sütunlardaki benzersiz değerleri görmek için bir kontrol yaptım. Böylece, hangi seçeneklerin bulunduğunu öğrendim.\n","\n","---\n","\n","# Kategorik Değerleri Sayılara Dönüştürme\n","\n","Kategorik verileri makine öğrenmesi algoritmalarıyla kullanabilmek için bu değerleri sayılara dönüştürdüm. Örneğin, “Düşük” yerine 0, “Orta” yerine 1, “Yüksek” yerine 2 yazdım. Bu şekilde, veriler daha anlamlı hale geldi.\n","\n","---\n","\n","# Veri Seti Bilgilerini Kontrol Etme\n","\n","Veri setimin genel durumunu kontrol ettim; yani hangi sütunların ne tür bilgiler içerdiğini ve eksik değer olup olmadığını inceledim. Bu adım, ilerideki adımları planlamama yardımcı oldu.\n","\n","---\n","\n","# Eksik Değerleri Kontrol Etme\n","\n","Veri setimde hangi sütunlarda eksik değerler olduğunu kontrol ettim. Bu, verinin güvenilirliğini sağlamak için önemli bir adımdı.\n","\n","---\n","\n","# Eksik Değerleri Doldurma\n","\n","Eksik olan kategorik değerleri, o sütundaki en sık görülen değerle doldurdum. Örneğin, bir sütunda “Düşük” en sık görülen değer ise, eksik olan yerlere onu yazdım. Böylece veri setinin bütünlüğünü artırdım.\n","\n","---\n","\n","# Doldurma İşlemi Sonrası Kontrol\n","\n","Doldurma işlemini yaptıktan sonra, hala eksik değer olup olmadığını kontrol ettim. Bu, yaptığım işlemin işe yarayıp yaramadığını görmek içindi.\n"]},{"cell_type":"code","execution_count":null,"id":"8cb3d2d8","metadata":{"papermill":{"duration":0.003404,"end_time":"2024-10-28T22:54:52.076432","exception":false,"start_time":"2024-10-28T22:54:52.073028","status":"completed"},"tags":[]},"outputs":[],"source":[]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":5630996,"sourceId":9300554,"sourceType":"datasetVersion"}],"dockerImageVersionId":30786,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.14"},"papermill":{"default_parameters":{},"duration":6.310185,"end_time":"2024-10-28T22:54:52.702391","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-10-28T22:54:46.392206","version":"2.6.0"}},"nbformat":4,"nbformat_minor":5}