{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":81933,"databundleVersionId":9643020,"sourceType":"competition"}],"dockerImageVersionId":30786,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-10-29T02:46:03.730912Z","iopub.execute_input":"2024-10-29T02:46:03.732214Z","iopub.status.idle":"2024-10-29T02:46:05.013651Z","shell.execute_reply.started":"2024-10-29T02:46:03.732160Z","shell.execute_reply":"2024-10-29T02:46:05.012481Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sample_submission = pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/sample_submission.csv')\ndata_dictionary = pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/data_dictionary.csv')\ntrain =pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/train.csv')\ntest = pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/test.csv')","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:20:15.132750Z","iopub.execute_input":"2024-10-29T01:20:15.133468Z","iopub.status.idle":"2024-10-29T01:20:15.236561Z","shell.execute_reply.started":"2024-10-29T01:20:15.133401Z","shell.execute_reply":"2024-10-29T01:20:15.235347Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def find_train_actigraphy(id):\n    path = f'/kaggle/input/child-mind-institute-problematic-internet-use/series_train.parquet/id={id}/part-0.parquet'\n    try:\n        cmi = pd.read_parquet(path)\n    except:\n        return False\n    return True\n\ntrain[\"IS_actigraphy\"] = train.id.apply(lambda x: find_train_actigraphy(x))","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:20:15.770282Z","iopub.execute_input":"2024-10-29T01:20:15.771281Z","iopub.status.idle":"2024-10-29T01:21:26.072121Z","shell.execute_reply.started":"2024-10-29T01:20:15.771227Z","shell.execute_reply":"2024-10-29T01:21:26.070873Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"num_act = train['IS_actigraphy'].sum()\ntotal = len(train)\nprint(f'number of actigraphy data : {num_act}/{total}')","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:21:26.074137Z","iopub.execute_input":"2024-10-29T01:21:26.074530Z","iopub.status.idle":"2024-10-29T01:21:26.081845Z","shell.execute_reply.started":"2024-10-29T01:21:26.074490Z","shell.execute_reply":"2024-10-29T01:21:26.080646Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:21:26.083139Z","iopub.execute_input":"2024-10-29T01:21:26.083595Z","iopub.status.idle":"2024-10-29T01:21:26.119248Z","shell.execute_reply.started":"2024-10-29T01:21:26.083545Z","shell.execute_reply":"2024-10-29T01:21:26.118098Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# CGAS - 정신 건강 기능 척도\n'''\n90-100: 정상적인 기능을 하며, 일상 생활에서 문제가 거의 없음.\n70-89: 약간의 어려움이 있지만, 전반적으로 잘 지내고 있음.\n50-69: 중간 정도의 어려움이 있으며, 일상 생활에서 눈에 띄는 문제가 있음.\n30-49: 심각한 문제가 있어 도움이나 치료가 필요함.\n1-29: 매우 심각한 문제가 있어 집중적인 치료나 보호가 필요함.\n\n이상치\nseason은 존재하지만 score가 없는 데이터 : 134개\nscore 최대값은 100, 그러나 999인 데이터 하나 존재함 \n'''\ncgas_df = train[~train['CGAS-Season'].isna() | ~train['CGAS-CGAS_Score'].isna()]\n\nscore_na = cgas_df['CGAS-CGAS_Score'].isna().sum()\nprint(f'CGAS-CGAS_Score 결측값 (CGAS-Season이 존재하는 경우) : {score_na}개', end = '\\n\\n')\n\nmin_age = cgas_df['Basic_Demos-Age'].min()\nmax_age = cgas_df['Basic_Demos-Age'].max()\nprint(f'나이 : {min_age} ~ {max_age}세')\n\nmale = len(cgas_df[cgas_df['Basic_Demos-Sex'] == 0])\nprint(f'성별 : 남성 - {male}명 , 여성 - {len(cgas_df)-male}명', end = '\\n\\n')\n\nprint(\"score 분포 (이상치 제거 전)\")\ncgas_df.boxplot(column = ['CGAS-CGAS_Score'])\nplt.show()\nprint(\"score 분포 (이상치 제거 후)\")\ncgas_df[cgas_df['CGAS-CGAS_Score'] != 999].boxplot(column = ['CGAS-CGAS_Score'])\nplt.show()\n\nprint('CGAS_Score와 인터넷 이용시간(PreInt_EduHx-computerinternet_hoursday)의 산점도')\ncgas_df[(cgas_df['CGAS-CGAS_Score'] != 999) & (~cgas_df['PreInt_EduHx-computerinternet_hoursday'].isna())].boxplot(by='PreInt_EduHx-computerinternet_hoursday',column = 'CGAS-CGAS_Score')\nplt.show()\n\nprint('CGAS_Score와 Sii의 산점도')\ncgas_df[~cgas_df.sii.isna()].boxplot(by='sii',column='CGAS-CGAS_Score')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:21:26.121307Z","iopub.execute_input":"2024-10-29T01:21:26.121669Z","iopub.status.idle":"2024-10-29T01:21:27.027933Z","shell.execute_reply.started":"2024-10-29T01:21:26.121633Z","shell.execute_reply":"2024-10-29T01:21:27.026946Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:aa709166-c6d4-4893-bde0-652eae58c2a2.png)![image.png](attachment:00cf1c17-0665-4a63-91d8-82cc09b4318e.png)","metadata":{},"attachments":{"aa709166-c6d4-4893-bde0-652eae58c2a2.png":{"image/png":"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"},"00cf1c17-0665-4a63-91d8-82cc09b4318e.png":{"image/png":"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"}}},{"cell_type":"code","source":"# Physical - 건강 정보\n'''\n1. Physical-Season\n2. Physical-BMI  == (Physical-Weight*0.453592)/((Physical-Height*0.0254)**2)\n3. Physical-Height\n4. Physical-Weight 결측값이 0으로 표기된 경우가 존재함, 이 경우 BMI도 0으로 계산되어 있음\n5. Physical-Waist_Circumference\n6. Physical-Diastolic_BP : 확장기 혈합 80이하 정상, 90이상 고혈합\n7. Physical-HeartRate\n8. Physical-Systolic_BP : 수축기 혈압\n'''\n\nprint('Case : when only Weight is NaN, All Heights are  0')\nprint(train[(train['Physical-Height'].isna()) & (~train['Physical-Weight'].isna())]['Physical-Weight'].unique()) #54개\nprint('Case : when only Height is NaN, All Weights have data')\nprint(train[(~train['Physical-Height'].isna()) & (train['Physical-Weight'].isna())]['Physical-Height'].unique(), end = '\\n\\n') #5개 \n\nbmi = train[~(train['Physical-BMI'].isna()) & (train['Physical-BMI'] != 0)]\n\nbmi.boxplot(by='PreInt_EduHx-computerinternet_hoursday',column ='Physical-BMI')\nplt.show()\n\nbmi.boxplot(by='sii',column='Physical-BMI')\nplt.show()\n\nWaist_Circumference = train[~train['Physical-Waist_Circumference'].isna()]\nbmi.boxplot(column='Physical-Waist_Circumference',by ='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\n\nbmi.boxplot(column='Physical-Waist_Circumference',by ='sii')\nplt.show()\n\ntrain[~train['Physical-Diastolic_BP'].isna()].boxplot(column='Physical-Diastolic_BP',by ='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\nprint('인터넷 이용 시간 : 고혈압 (Diastolic_BP >= 90) 비율')\na = train[train['Physical-Diastolic_BP'] >= 90].groupby('PreInt_EduHx-computerinternet_hoursday')['Physical-Diastolic_BP'].count()\nb = train[~train['Physical-Diastolic_BP'].isna()].groupby('PreInt_EduHx-computerinternet_hoursday')['Physical-Diastolic_BP'].count()\nprint(a/b)\n\ntrain[~train['Physical-Diastolic_BP'].isna()].boxplot(column='Physical-Diastolic_BP',by ='sii')\nplt.show()\nprint('SII 점수 : 고혈압 (Diastolic_BP >= 90) 비율')\na = train[train['Physical-Diastolic_BP'] >= 90].groupby('sii')['Physical-Diastolic_BP'].count()\nb = train[~train['Physical-Diastolic_BP'].isna()].groupby('sii')['Physical-Diastolic_BP'].count()\nprint(a/b)\n\ntrain[~train['Physical-Systolic_BP'].isna()].boxplot(column='Physical-Systolic_BP',by ='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\nprint('인터넷 이용 시간 : 고혈압 (Systolic_BP >= 130) 비율')\na = train[train['Physical-Systolic_BP'] >= 130].groupby('PreInt_EduHx-computerinternet_hoursday')['Physical-Systolic_BP'].count()\nb = train[~train['Physical-Systolic_BP'].isna()].groupby('PreInt_EduHx-computerinternet_hoursday')['Physical-Systolic_BP'].count()\nprint(a/b)\n\ntrain[~train['Physical-Systolic_BP'].isna()].boxplot(column='Physical-Systolic_BP',by ='sii')\nplt.show()\nprint('SII 점수 : 고혈압 (Systolic_BP >= 130) 비율')\na = train[train['Physical-Systolic_BP'] >= 130].groupby('sii')['Physical-Systolic_BP'].count()\nb = train[~train['Physical-Systolic_BP'].isna()].groupby('sii')['Physical-Systolic_BP'].count()\nprint(a/b)\n\n#  4~5, 6~8, 9~11, 12~15, 16~19, 20~39, 59\ndef is_heart_rate_normal(age, heart_rate):\n    if 1 <= age <= 2:\n        normal_range = (98, 140)\n    elif 3 <= age <= 5:\n        normal_range = (80, 120)\n    elif 6 <= age <= 11:\n        normal_range = (75, 118)\n    elif age >= 12:\n        normal_range = (60, 100)\n    else:\n        return np.nan\n    # 심박수가 정상 범위 내에 있는지 확인\n    if pd.isna(heart_rate):\n        return np.nan\n    elif normal_range[0] <= heart_rate <= normal_range[1]:\n        return 1 #정상\n    else:\n        return 0 #비정상\n\n# 새로운 컬럼 추가\ntrain['HeartRate_Normal'] = train.apply(lambda row: is_heart_rate_normal(row['Basic_Demos-Age'], \n                                                                        row['Physical-HeartRate']), axis=1)\n\n\ntrain[~train['Physical-HeartRate'].isna()].boxplot(column='Physical-HeartRate',by ='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\nprint('outrange of HeartRate by computerinternet_hoursday')\nprint(1 - train[~train['HeartRate_Normal'].isna()].groupby('PreInt_EduHx-computerinternet_hoursday')['HeartRate_Normal'].mean())\n\ntrain[~train['Physical-HeartRate'].isna()].boxplot(column='Physical-HeartRate',by ='sii')\nplt.show()\nprint('outrange of HeartRate by sii')\nprint(1 - train[~train['HeartRate_Normal'].isna()].groupby('sii')['HeartRate_Normal'].mean())\n","metadata":{"execution":{"iopub.status.busy":"2024-10-29T07:32:51.083476Z","iopub.execute_input":"2024-10-29T07:32:51.084043Z","iopub.status.idle":"2024-10-29T07:32:53.893302Z","shell.execute_reply.started":"2024-10-29T07:32:51.083993Z","shell.execute_reply":"2024-10-29T07:32:53.891940Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Fitness - 심혈관 피트니스 측정\n# 결측값 없는 739개 데이터 존재\n\n'''\nFitness_Endurance-Season\nFitness_Endurance-Max_Stage : 트레드밀을 이용한 운동 측정에서 얼마나 높은 수준의 강도까지 도달했는지를 말하는 것 같음\nFitness_Endurance-Time_Mins : 운동 수행시간(분)\nFitness_Endurance-Time_Sec : 운동 수행시간 (초)\nFitness_Endurance-Time = Fitness_Endurance-Time_Mins*60 + Fitness_Endurance-Time_Sec\n'''\n\nfitness = train[['Fitness_Endurance-Season','Fitness_Endurance-Max_Stage','Fitness_Endurance-Time_Mins','Fitness_Endurance-Time_Sec']].dropna()\n\nprint('Max_Stage 분포')\nfitness[['Fitness_Endurance-Max_Stage']].boxplot()\nplt.show()\nprint('Max_stage max값 (28) 제거 후 분포')\nfitness[fitness['Fitness_Endurance-Max_Stage'] != 28][['Fitness_Endurance-Max_Stage']].boxplot()\nplt.show()\nprint('인터넷 이용시간 별 Max_stage 분포')\ntrain[(train['Fitness_Endurance-Max_Stage'] != 28) & (~train['Fitness_Endurance-Max_Stage'].isna())].boxplot(column = 'Fitness_Endurance-Max_Stage', by ='PreInt_EduHx-computerinternet_hoursday' )\nplt.show()\nprint('sii 별 Max_stage 분포')\ntrain[(train['Fitness_Endurance-Max_Stage'] != 28) & (~train['Fitness_Endurance-Max_Stage'].isna())].boxplot(column = 'Fitness_Endurance-Max_Stage', by ='sii' )\nplt.show()\n\n\nfitness['Fitness_Endurance-Time'] = fitness['Fitness_Endurance-Time_Mins']*60 + fitness['Fitness_Endurance-Time_Sec']\nprint('Fitness_Endurance Time(sec) 분포')\nfitness[['Fitness_Endurance-Time']].boxplot()\nplt.show()\n\ntrain['Fitness_Endurance-Time'] = train['Fitness_Endurance-Time_Mins']*60 + train['Fitness_Endurance-Time_Sec']\nprint('인터넷 이용시간 별 Fitness_Endurance Time(sec) 분포')\ntrain[~train['Fitness_Endurance-Time'].isna()].boxplot(column = 'Fitness_Endurance-Time', by ='PreInt_EduHx-computerinternet_hoursday' )\nplt.show()\nprint('sii 별 Fitness_Endurance Time(sec) 분포')\ntrain[~train['Fitness_Endurance-Time'].isna()].boxplot(column = 'Fitness_Endurance-Time', by ='sii' )\nplt.show()\n\n","metadata":{"execution":{"iopub.status.busy":"2024-10-29T01:43:08.288446Z","iopub.execute_input":"2024-10-29T01:43:08.288995Z","iopub.status.idle":"2024-10-29T01:43:09.787593Z","shell.execute_reply.started":"2024-10-29T01:43:08.288940Z","shell.execute_reply":"2024-10-29T01:43:09.786389Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# FGC - 유산소 능력, 근력, 근지구력, 유연성, 체성분을 측정하는 건강 관련 신체 체력 평가.\n# Zone은 각 체력평가 결과를 분류한것 Ex) 체력평가 1급, 2급 나누는 것과 같은 개념\n# 좌우 신체에 대한 평가가 각각 존재함. 신체 불균형 정도를 평가하는 파생 변수를 생성 가능 => GS(악력)에서 차이가 조금 보여 활용 가능할 것으로 생각\n# Zone이 어떤 기준에서 분류가 되었는지 찾지 못함\n# 성별, 나이별로 보아도 각각의 등급별로 범위가 겹치는 경우 존재함\n# Zone에 따라서 인터넷 이용시간, sii 의 분포에 차이가 미미함\n# 측정값이 상식적이지 않은 범위에 있는 경우가 꽤 있음. 이상치 제거가 필요함\n'''\nFGC-Season\nFGC-FGC_CU : 복근운동의 근지구력(윗몸일으키기)\nFGC-FGC_CU_Zone : 0=Needs Improvement, 1=Healthy Fitness // 기록은 존재하지만 Zone이 없는 데이터 있음\nFGC-FGC_GSND : 악력 (주로 사용하지 않는 손)\nFGC-FGC_GSND_Zone : 1=Weak, 2=Normal, 3=Strong\nFGC-FGC_GSD : 악력 (주로 사용하는 손)\nFGC-FGC_GSD_Zone : 1=Weak, 2=Normal, 3=Strong\nFGC-FGC_PU : 푸쉬업\nFGC-FGC_PU_Zone : 0=Needs Improvement, 1=Healthy Fitness\nFGC-FGC_SRL : 앉은 상태에서 다리를 펴고 허리를 숙여 팔을 뻗는 것. 오른쪽 다리를 접고 왼쪽만 유연성 평가\nFGC-FGC_SRL_Zone : 0=Needs Improvement, 1=Healthy Fitness\nFGC-FGC_SRR : 앉은 상태에서 다리를 펴고 허리를 숙여 팔을 뻗는 것. 왼쪽 다리를 접고 오른쪽만 유연성 평가\nFGC-FGC_SRR_Zone : 0=Needs Improvement, 1=Healthy Fitness\nFGC-FGC_TL : 엎드린 상태에서 상체를 천천히 들어 올려 머리와 어깨를 바닥에서 최대한 멀리 들어 올리는 방식\nFGC-FGC_TL_Zone :  0=Needs Improvement, 1=Healthy Fitness\n'''\nFGCs = ['FGC_CU','FGC_GSND','FGC_GSD','FGC_PU','FGC_SRL','FGC_SRR','FGC_TL']\nprint('각각의 평가 등급별 범위')\nfor FGC in FGCs:\n    zone = np.sort(train[~train[f'FGC-{FGC}_Zone'].isna()][f'FGC-{FGC}_Zone'].unique())\n    for rate in zone:\n        low = train[train[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].min()\n        high = train[train[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].max()\n        print(f\"{FGC}_ {rate} range : {low} ~ {high}\")\n    print()\n\nprint('__________________________________________________________________________')\nprint('EX) 10살 남성 ')\nmale_10  = train[(train['Basic_Demos-Age'] == 10) & (train['Basic_Demos-Sex'] == 0)]\n\nfor FGC in FGCs:\n    zone = np.sort(male_10[~male_10[f'FGC-{FGC}_Zone'].isna()][f'FGC-{FGC}_Zone'].unique())\n    for rate in zone:\n        low = male_10[male_10[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].min()\n        high = male_10[male_10[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].max()\n        print(f\"{FGC}_ {rate} range : {low} ~ {high}\")\n    print()\nprint('__________________________________________________________________________')\nfemale_10  = train[(train['Basic_Demos-Age'] == 10) & (train['Basic_Demos-Sex'] == 1)]\nprint('EX) 10살 여성')\nfor FGC in FGCs:\n    zone = np.sort(female_10[~female_10[f'FGC-{FGC}_Zone'].isna()][f'FGC-{FGC}_Zone'].unique())\n    for rate in zone:\n        low = female_10[female_10[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].min()\n        high = female_10[female_10[f'FGC-{FGC}_Zone'] == rate][f'FGC-{FGC}'].max()\n        print(f\"{FGC}_ {rate} range : {low} ~ {high}\")\n    print()\nprint('__________________________________________________________________________')\n\nfor FGC in FGCs:\n    print(f'{FGC}_zone 인터넷 이용시간')\n    sns.violinplot(x = f'FGC-{FGC}_Zone', y = 'PreInt_EduHx-computerinternet_hoursday', data=train)\n    plt.show()\n    \n    print(print(f'{FGC}_zone sii'))\n    sns.violinplot(x = f'FGC-{FGC}_Zone', y = 'sii', data=train)\n    plt.show()\n    \nprint('__________________________________________________________________________')\nprint('좌우 균형의 차이 변수 생성 후 EDA')\ntrain['FGC-FGC_GS_Gap'] = abs(train['FGC-FGC_GSD'] - train['FGC-FGC_GSND'])\ntrain['FGC-FGC_SR_GAP'] =abs(train['FGC-FGC_SRR'] - train['FGC-FGC_SRL'])\n\nGaps = ['FGC-FGC_GS_Gap', 'FGC-FGC_SR_GAP']\nfor gap in Gaps:\n    print(f'{gap}의 분포')\n    train[[gap]].boxplot()\n    plt.show()\n    \n    print(f'{gap}과 인터넷 이용시간 (상위 10개 제거)')\n    top_10_values = train[gap].nlargest(10)\n    train[~train[gap].isin(top_10_values)].boxplot(column=gap, by='PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    \n    print(f'{gap}과 sii (상위 10개 제거)')\n    train[~train[gap].isin(top_10_values)].boxplot(column = gap, by = 'sii')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T03:08:19.640600Z","iopub.execute_input":"2024-10-29T03:08:19.641158Z","iopub.status.idle":"2024-10-29T03:08:24.347333Z","shell.execute_reply.started":"2024-10-29T03:08:19.641111Z","shell.execute_reply":"2024-10-29T03:08:24.346081Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# BIA- 신체 구성 성분 분석 ex) 지방, 근육량, BMI 지수 등\n# 1991개의 데이터 존재\n# 이상치가 꽤 많이 존재하여 데이터 전처리 시 이상치 제거가 중요할 것으로 보임\n\"\"\"\nBIA-Season\nBIA-BIA_Activity_Level_num : BIA를 평가하기 위해 개인의 신체 활동량을 평가 (1~5)\nBIA-BIA_BMC : 골격 내 미네랄\nBIA-BIA_BMI : 체질량 지수\nBIA-BIA_BMR : 기초대사량\nBIA-BIA_DEE : 일일 에너지 소비량\nBIA-BIA_ECW : 세포외수분 -  수분 균형을 평가하고 부종이나 염증과 같은 상태를 확인하는 데 유용\nBIA-BIA_FFM : 제지방량 - 신체에서 지방을 제거한 질량\nBIA-BIA_FFMI : 체지방을 제외한 제지방량을 키의 제곱으로 나눈 값, FFMI 값이 18~19 는 평균, FFMI가 20 이상은 평균 이상으로 근육이 많음, FFMI가 25 이상인 경우는 보디빌더 수준.\nBIA-BIA_FMI : 체지방량을 키의 제곱으로 나눈 값, 저체지방: 남성 < 2, 여성 < 5 , 정상 체지방: 남성 2–5, 여성 5–9 ,과체지방: 남성 5–9, 여성 9–13, 비만: 남성 > 9, 여성 > 13\nBIA-BIA_Fat : 체지방 비율\nBIA-BIA_Frame_num : 체격 (1: 왜소함, 2: 평균 3: 건장함)\nBIA-BIA_ICW : 세포 내 수분 - 근육량과 관련이 높음\nBIA-BIA_LDM : 체수분을 제외한 제지방 무게\nBIA-BIA_LST :지방을 제외한 연조직(근육, 장기, 피부 등)의 무게 / FFM과의 차이는 연조직의 무게만 측정한다는 것(뼈와 같은 조직 제외한 무게)\nBIA-BIA_SMM : 골격근량\nBIA-BIA_TBW : 총 체수분량\n\n체지방 관련 컬럼\nBMI, FMI, Fat => 음수값들이 존재함 (이상치)\n\n제지방 관련 컬럼\nFFM, FFMI, LST, LDM => 전부 지나치게 큰 데이터가 존재함(이상치), 제지방량도 체중이 증가(비만)할 때 같이 증가하는 경향이 있음, 제지방률은 낮아짐 \n\n골격근량 관련 컬럼\nBMC, SMM => 지나치게 큰 데이터가 존재함.(이상치), BMC는 음수값 존재(이상치), 음수값 이외에도 너무 극단적으로 낮은 값들은 데이터 오류일 가능성 높음 ex) BMC가 0~10 사이인 데이터\n\n체수분량 관련 컬럼\nECW, ICW, TBW => 지나치게 큰 데이터가 존재함 (이상치)\n\n대사량 관련 컬럼\nBMR, DEE => 지나치게 큰 데이터가 존재함 (이상치)\n\n기타 컬럼\nActivity_Level_num, Frame_num\n\"\"\"\nprint('신체활동량과 인터넷 이용시간')\nsns.violinplot(x = 'BIA-BIA_Activity_Level_num', y = 'PreInt_EduHx-computerinternet_hoursday', data = train[~train['BIA-BIA_Activity_Level_num'].isna()])\nplt.show()\nprint('신체활동량과 sii')\nsns.violinplot(x = 'BIA-BIA_Activity_Level_num', y = 'sii', data = train[~train['BIA-BIA_Activity_Level_num'].isna()])\nplt.show()\nprint('______________________________________________________________________________')\nprint('체격과 인터넷 이용시간')\nsns.violinplot(x = 'BIA-BIA_Frame_num', y = 'PreInt_EduHx-computerinternet_hoursday', data = train[~train['BIA-BIA_Frame_num'].isna()])\nplt.show()\nprint('체격과 sii')\nsns.violinplot(x = 'BIA-BIA_Frame_num', y = 'sii', data = train[~train['BIA-BIA_Frame_num'].isna()])\nplt.show()\nprint('______________________________________________________________________________')\nprint('체지방 관련 데이터')\nfats = ['BMI', 'FMI', 'Fat']\nfor fat in fats:\n    col = f'BIA-BIA_{fat}'\n    print(f'{fat}과 인터넷 이용시간')\n    train[train[col]>0].boxplot(column = col, by = 'PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    print(f'{fat}과 sii')\n    train[train[col]>0].boxplot(column = col, by = 'sii')\n    plt.show()\nprint('______________________________________________________________________________')\nprint('제지방 관련 데이터')\nnon_fats = ['FFM', 'FFMI', 'LST', 'LDM']\nfor non_fat in non_fats:\n    col = f'BIA-BIA_{non_fat}'\n    top_3_values = train[col].nlargest(3)\n    print(f'{non_fat}과 인터넷 이용시간')\n    train[~train[col].isin(top_3_values)].boxplot(column = col, by = 'PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    print(f'{non_fat}과 sii')\n    train[~train[col].isin(top_3_values)].boxplot(column = col, by = 'sii')\n    plt.show()\nprint('______________________________________________________________________________')\nprint('골격근량 관련 데이터')\nmuscles = ['BMC', 'SMM']\nfor muscle in muscles:\n    col = f'BIA-BIA_{muscle}'\n    top_3_values = train[col].nlargest(3)\n    print(f'{muscle}과 인터넷 이용시간')\n    train[(~train[col].isin(top_3_values)) & (train[col] >0)].boxplot(column = col, by = 'PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    print(f'{muscle}과 sii')\n    train[(~train[col].isin(top_3_values)) & (train[col] >0)].boxplot(column = col, by = 'sii')\n    plt.show()\nprint('______________________________________________________________________________')\nprint('체수분량 관련 컬럼')\nwaters = ['ECW', 'ICW', 'TBW']\nfor water in waters:\n    col = f'BIA-BIA_{muscle}'\n    top_3_values = train[col].nlargest(3)\n    print(f'{water}과 인터넷 이용시간')\n    train[(~train[col].isin(top_3_values))].boxplot(column = col, by = 'PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    print(f'{water}과 sii')\n    train[(~train[col].isin(top_3_values))].boxplot(column = col, by = 'sii')\n    plt.show()\nprint('______________________________________________________________________________')\nprint('대사량 관련 컬럼')\nmetabolisms = ['BMR', 'DEE']\nfor metabolism in metabolisms:\n    col = f'BIA-BIA_{metabolism}'\n    top_3_values = train[col].nlargest(3)\n    print(f'{metabolism}과 인터넷 이용시간')\n    train[(~train[col].isin(top_3_values))].boxplot(column = col, by = 'PreInt_EduHx-computerinternet_hoursday')\n    plt.show()\n    print(f'{metabolism}과 sii')\n    train[(~train[col].isin(top_3_values))].boxplot(column = col, by = 'sii')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T04:35:47.443885Z","iopub.execute_input":"2024-10-29T04:35:47.444381Z","iopub.status.idle":"2024-10-29T04:35:56.463474Z","shell.execute_reply.started":"2024-10-29T04:35:47.444341Z","shell.execute_reply":"2024-10-29T04:35:56.462366Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PAQ_A : 최근 7일동안의 활발한 활동 참여에 대한 점수 (청소년) 13~18세 475개\n# PAQ_C : 최근 7일동안의 활발한 활동 참여에 대한 점수 (어린이) 7~17세 1721개\n# 청소년과 어린이의 구분이 명확하지 않음 \n# 0 ~ 5점 사이의 점수 분포\n\n\n'''\nPAQ_A-Season\nPAQ_A-PAQ_A_Total : 0.66 ~ 4.71\nPAQ_C-Season\nPAQ_C-PAQ_C_Total : 0.58 ~ 4.79\n'''\nprint(train[~train['PAQ_C-PAQ_C_Total'].isna()]['Basic_Demos-Age'].min())\n\nprint('PAQ_A 점수와 인터넷 이용시간')\ntrain[~train['PAQ_A-PAQ_A_Total'].isna()].boxplot(column = 'PAQ_A-PAQ_A_Total',by = 'PreInt_EduHx-computerinternet_hoursday')\nsns.violinplot(x = 'PreInt_EduHx-computerinternet_hoursday', y = 'PAQ_A-PAQ_A_Total', data = train[~train['PAQ_A-PAQ_A_Total'].isna()])\nplt.show()\nprint('PAQ_A 점수와 sii')\nsns.violinplot(x = 'sii', y = 'PAQ_A-PAQ_A_Total', data = train[~train['PAQ_A-PAQ_A_Total'].isna()])\nplt.show()\n\nprint('PAQ_C 점수와 인터넷 이용시간')\ntrain[~train['PAQ_C-PAQ_C_Total'].isna()].boxplot(column = 'PAQ_C-PAQ_C_Total',by = 'PreInt_EduHx-computerinternet_hoursday')\nsns.violinplot(x = 'PreInt_EduHx-computerinternet_hoursday', y = 'PAQ_C-PAQ_C_Total', data = train[~train['PAQ_C-PAQ_C_Total'].isna()])\nplt.show()\nprint('PAQ_C 점수와 sii')\nsns.violinplot(x = 'sii', y = 'PAQ_C-PAQ_C_Total', data = train[~train['PAQ_C-PAQ_C_Total'].isna()])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T04:59:38.784597Z","iopub.execute_input":"2024-10-29T04:59:38.785095Z","iopub.status.idle":"2024-10-29T04:59:40.060315Z","shell.execute_reply.started":"2024-10-29T04:59:38.785052Z","shell.execute_reply":"2024-10-29T04:59:40.059154Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PCIAT - 부모가 평가하는 자녀의 인터넷 중독 정도.\n# PCIAT 점수가 곧 SII로 보임 \n# 각 설문 항목을 바탕으로 sii 점수에 대한 인사이트를 얻을 수 있을...까?\n# 아래는 설문 조사 항목을 점수와의 상관관계 정도 순서대로 정리한 것\n\nquestion_content = {\n    'PCIAT-PCIAT_01': \"자녀가 온라인 사용 시간 제한을 어기는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_02': \"자녀가 집안일을 무시하고 온라인에 더 많은 시간을 할애하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_03': \"자녀가 가족과 함께 시간을 보내는 것보다 온라인에 있는 것을 더 좋아하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_04': \"자녀가 다른 온라인 사용자와 새로운 관계를 형성하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_05': \"자녀가 온라인에 보내는 시간에 대해 불평하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_06': \"자녀의 성적이 온라인 사용 시간 때문에 저하되는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_07': \"자녀가 다른 일을 하기 전에 이메일을 확인하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_08': \"자녀가 인터넷을 발견한 후 다른 사람들과 멀어지는 듯한 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_09': \"자녀가 온라인에서 하는 일을 물어보면 방어적이거나 비밀스럽게 행동하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_10': \"자녀가 부모의 허락 없이 몰래 온라인에 접속하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_11': \"자녀가 방에서 혼자 컴퓨터로 놀면서 시간을 보내는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_12': \"자녀가 새로운 '온라인' 친구로부터 이상한 전화를 받는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_13': \"자녀가 온라인에서 방해받을 때 짜증을 내거나 소리치는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_14': \"자녀가 인터넷 사용 전보다 더 피곤하거나 지쳐 보이는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_15': \"자녀가 오프라인일 때 다시 온라인으로 돌아가는 것에 집착하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_16': \"자녀가 온라인 시간에 대해 부모가 개입할 때 분노를 터뜨리는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_17': \"자녀가 예전에는 즐겼던 취미나 활동 대신 온라인에서 시간을 보내는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_18': \"자녀가 온라인 시간에 제한을 두면 화를 내거나 공격적으로 행동하는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_19': \"자녀가 친구들과 외출하기보다는 온라인에서 더 많은 시간을 보내는 빈도는 얼마나 되나요?\",\n    'PCIAT-PCIAT_20': \"자녀가 오프라인일 때 우울하거나 불안해지며, 다시 온라인에 접속하면 사라지는 빈도는 얼마나 되나요?\",\n}\n\ncolumns = ['PCIAT-PCIAT_01', 'PCIAT-PCIAT_02', 'PCIAT-PCIAT_03', 'PCIAT-PCIAT_04', \n           'PCIAT-PCIAT_05', 'PCIAT-PCIAT_06', 'PCIAT-PCIAT_07', 'PCIAT-PCIAT_08', \n           'PCIAT-PCIAT_09', 'PCIAT-PCIAT_10', 'PCIAT-PCIAT_11', 'PCIAT-PCIAT_12', \n           'PCIAT-PCIAT_13', 'PCIAT-PCIAT_14', 'PCIAT-PCIAT_15', 'PCIAT-PCIAT_16', \n           'PCIAT-PCIAT_17', 'PCIAT-PCIAT_18', 'PCIAT-PCIAT_19', 'PCIAT-PCIAT_20', \n           'PCIAT-PCIAT_Total']\ncorrelation_matrix = train[columns].corr()\n\n# 최종 점수와 각 질문 항목 간의 상관관계만 추출\ncorrelation_with_total = correlation_matrix[['PCIAT-PCIAT_Total']].drop('PCIAT-PCIAT_Total')\ncorrelation_with_total = correlation_with_total.sort_values(by='PCIAT-PCIAT_Total', ascending=False)\n\n# 히트맵 시각화\nplt.figure(figsize=(8, 10))\nsns.heatmap(correlation_with_total, annot=True, cmap='coolwarm', vmin=-1, vmax=1)\nplt.title(\"Correlation between each question and PCIAT-PCIAT_Total\")\nplt.xlabel(\"PCIAT-PCIAT_Total\")\nplt.ylabel(\"Questions\")\nplt.show()\n\nprint('SII 점수별 최종 점수와 각 질문 항목 간의 상관관계 추출')\nplt.figure(figsize=(15, 10))\nfor idx, sii_level in enumerate([0, 1, 2, 3]):\n    # 각 sii 레벨에 대한 데이터 필터링\n    subset = train[train['sii'] == sii_level]\n    \n    # 상관관계 계산 및 `PCIAT-PCIAT_Total`과의 상관관계 추출\n    correlation_matrix = subset[columns].corr()\n    correlation_with_total = correlation_matrix[['PCIAT-PCIAT_Total']].drop('PCIAT-PCIAT_Total')\n    \n    # 상관관계 값 정렬\n    correlation_with_total = correlation_with_total.sort_values(by='PCIAT-PCIAT_Total', ascending=False)\n    \n    # 히트맵 시각화\n    plt.subplot(2, 2, idx + 1)\n    sns.heatmap(correlation_with_total, annot=True, cmap='coolwarm', vmin=-1, vmax=1)\n    plt.title(f\"Correlation with PCIAT-PCIAT_Total (sii = {sii_level})\")\n    plt.xlabel(\"PCIAT-PCIAT_Total\")\n    plt.ylabel(\"Questions\")\n\nplt.tight_layout()\nplt.show()\n\n# 각 sii 점수별 상위 5개 상관관계 출력\ntop_n = 5\n\nfor sii_level in [0, 1, 2, 3]:\n    # 각 sii 레벨에 대한 데이터 필터링\n    subset = train[train['sii'] == sii_level]\n    \n    # 상관관계 계산 및 `PCIAT-PCIAT_Total`과의 상관관계 추출\n    correlation_matrix = subset[columns].corr()\n    correlation_with_total = correlation_matrix[['PCIAT-PCIAT_Total']].drop('PCIAT-PCIAT_Total')\n    \n    # 상관관계 값 정렬 및 상위 5개 선택\n    top_5_questions = correlation_with_total['PCIAT-PCIAT_Total'].nlargest(top_n)\n    \n    # 결과 출력\n    print(f\"\\nTop 5 Correlated Questions with PCIAT-PCIAT_Total for sii = {sii_level}:\\n\")\n    for question, correlation in top_5_questions.items():\n        print(f\"{question} ({question_content[question]}): 상관계수 = {correlation:.2f}\")\n\nprint('______________________________________________________________________________')\nprint('Score와 인터넷 이용시간')\ntrain[~train['PCIAT-PCIAT_Total'].isna()].boxplot(column = 'PCIAT-PCIAT_Total',by = 'PreInt_EduHx-computerinternet_hoursday')\nprint('Score와 sii')\ntrain[~train['PCIAT-PCIAT_Total'].isna()].boxplot(column = 'PCIAT-PCIAT_Total',by = 'sii')","metadata":{"execution":{"iopub.status.busy":"2024-10-29T05:31:13.754816Z","iopub.execute_input":"2024-10-29T05:31:13.755281Z","iopub.status.idle":"2024-10-29T05:31:17.186591Z","shell.execute_reply.started":"2024-10-29T05:31:13.755240Z","shell.execute_reply":"2024-10-29T05:31:17.185315Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# SDS - 아동 수면 장애 분류 척도\n# 원점수는 존재하지만 T점수가 없는 경우가 있음\n'''\nSDS-Season\nSDS-SDS_Total_Raw : 원점수 2609개\nSDS-SDS_Total_T : 표준점수 (연령, 나이에 따른 분포를 기준(예상)) 2606개\n'''\nprint(\"원점수와 인터넷 이용시간\")\ntrain[~train['SDS-SDS_Total_T'].isna()].boxplot(column = 'SDS-SDS_Total_Raw',by='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\nprint(\"원점수와 sii\")\ntrain[~train['SDS-SDS_Total_T'].isna()].boxplot(column = 'SDS-SDS_Total_Raw',by='sii')\nplt.show()\n\nprint(\"T점수와 인터넷 이용시간\")\ntrain[~train['SDS-SDS_Total_T'].isna()].boxplot(column = 'SDS-SDS_Total_T',by='PreInt_EduHx-computerinternet_hoursday')\nplt.show()\nprint(\"T점수와 sii\")\ntrain[~train['SDS-SDS_Total_T'].isna()].boxplot(column = 'SDS-SDS_Total_T',by='sii')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T06:07:54.223179Z","iopub.execute_input":"2024-10-29T06:07:54.223728Z","iopub.status.idle":"2024-10-29T06:07:55.196692Z","shell.execute_reply.started":"2024-10-29T06:07:54.223670Z","shell.execute_reply":"2024-10-29T06:07:55.195567Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PreInt_EduHx-computerinternet_hoursday - 인터넷 이용시간\n\nsns.violinplot(x = 'sii', y = 'PreInt_EduHx-computerinternet_hoursday', data=train[~train['PreInt_EduHx-computerinternet_hoursday'].isna()])","metadata":{"execution":{"iopub.status.busy":"2024-10-29T06:10:13.063850Z","iopub.execute_input":"2024-10-29T06:10:13.064385Z","iopub.status.idle":"2024-10-29T06:10:13.416439Z","shell.execute_reply.started":"2024-10-29T06:10:13.064336Z","shell.execute_reply":"2024-10-29T06:10:13.415177Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Actigraphy Files\n'''\nstep - 시계열 내 각 관측치에 대한 정수형 시간 단계.\nX, Y, Z - 손목에 착용한 시계가 각각의 표준 축을 따라 경험하는 가속도를 g 단위로 측정한 값.\nenmo - wristpy 패키지에서 계산 및 설명된 값으로, ENMO는 모든 가속도 신호의 유클리드 노름에서 1을 뺀 값(각각의 x-, y-, z-축을 g-force로 측정)이며, 음수 값은 0으로 반올림됩니다. 0 값은 움직임이 없는 기간을 나타냅니다. 가속도의 표준 측정 값은 없지만, 이 값은 일반적으로 계산되는 여러 특징 중 하나입니다.\nanglez - wristpy 패키지에서 계산 및 설명된 값으로, 개별 가속도 구성 요소로부터 파생된 척도로, 팔이 수평면에 대해 형성하는 각도를 나타냅니다.\nnon-wear_flag - GGIR 정의에 기반하여 시계가 착용되지 않은 기간을 결정하는 데 도움이 되는 플래그(0: 시계를 착용 중, 1: 시계를 착용하지 않음)로, 가속도 데이터의 표준 편차와 범위를 사용합니다.\nlight - 주변 조도를 lux 단위로 측정한 값.\nbattery_voltage - 배터리 전압을 mV 단위로 측정한 값.\ntime_of_day - 데이터가 샘플링된 5초 창의 시작 시간을 나타내며, 형식은 %H:%M:%S.%9f 입니다.\nweekday - 요일을 나타내는 정수로, 1은 월요일, 7은 일요일을 나타냅니다.\nquarter - 해당 연도의 분기로, 1부터 4까지의 정수로 표시됩니다.\nrelative_date_PCIAT - PCIAT 테스트가 시행된 이후 경과한 일수(정수)로, 음수 값은 행위 데이터가 테스트 시행 이전에 수집되었음을 나타냅니다.\n\n\nanglez - 이상값으로 보이는 데이터는 없음\nenmo - 8 이상을 기준으로 보았을 때 갑자기 데이터가 10 이상 튀는 경우가 나타남\nnon-wear_flag 를 기준으로 시계(측정도구)를 착용하지 않는 기간이 50% 이상인 경우가 213건, 시계는 계속 작동중\n\n'''\n# 이상 데이터가 존재하는 ID를 저장할 리스트\nanglez_anomalous_ids = set()\nenmo_anomalous_ids = set()\nnon_wear_ratio_anomalous_ids = set()\n# actigraphy 데이터가 있는 ID 필터링\nsubset = train[train['IS_actigraphy'] == True]\n\nfor i in range(len(subset)):\n    id = subset.iloc[i]['id']\n    \n    path = f'/kaggle/input/child-mind-institute-problematic-internet-use/series_train.parquet/id={id}/part-0.parquet'\n    \n    # actigraphy 데이터 불러오기\n    try:\n        data = pd.read_parquet(path)\n        non_wear_ratio = data['non-wear_flag'].mean()\n        \n        # 1의 비율이 50% 이상일 경우 이상 데이터로 간주\n        if non_wear_ratio >= 0.5:\n            non_wear_ratio_anomalous_ids.add(id)\n            \n        if (data['anglez'].abs() < 0).any() or (data['anglez'].abs() > 180).any():\n            anglez_anomalous_ids.add(id)\n            \n            \n        if (data['enmo'].abs() < 0).any() or (data['enmo'].abs() > 8).any():\n            enmo_anomalous_ids.add(id)\n            \n            \n    except Exception as e:\n        print(f\"Error loading data for ID {id}: {e}\")\n\n# 이상 데이터가 존재하는 ID \nprint(\"anglez_Anomalous IDs:\", len(anglez_anomalous_ids))\nprint(\"enmo_Anomalous IDs:\", len(enmo_anomalous_ids))\nprint(\"non_wear_ratio_anomalous IDs:\", len(non_wear_ratio_anomalous_ids))\n","metadata":{"execution":{"iopub.status.busy":"2024-10-29T06:53:19.959174Z","iopub.execute_input":"2024-10-29T06:53:19.960529Z","iopub.status.idle":"2024-10-29T06:53:46.083321Z","shell.execute_reply.started":"2024-10-29T06:53:19.960468Z","shell.execute_reply":"2024-10-29T06:53:46.082167Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# enmo에서 이상한 데이터로 잡힌 경우\nenmo_anomalous_ids = list(enmo_anomalous_ids)\nfor id in range(len(enmo_anomalous_ids)):\n    id = enmo_anomalous_ids[id]\n    path = f'/kaggle/input/child-mind-institute-problematic-internet-use/series_train.parquet/id={id}/part-0.parquet'\n    cmi = pd.read_parquet(path)\n    plt.figure(figsize=(12, 6))\n    plt.plot(cmi['step'], cmi['enmo'], color='blue', linestyle='-')\n    plt.title(\"ENMO Value Over Steps\")\n    plt.xlabel(\"Step\")\n    plt.ylabel(\"ENMO\")\n    plt.grid(True)\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-10-29T06:49:37.975528Z","iopub.execute_input":"2024-10-29T06:49:37.976122Z","iopub.status.idle":"2024-10-29T06:49:39.533338Z","shell.execute_reply.started":"2024-10-29T06:49:37.976070Z","shell.execute_reply":"2024-10-29T06:49:39.531916Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 시계를 착용하지 않은 경우에도 데이터는 정상적으로 수집됨\nnon_wear_ratio_anomalous_ids = list(non_wear_ratio_anomalous_ids)\nid = non_wear_ratio_anomalous_ids[0]\npath = f'/kaggle/input/child-mind-institute-problematic-internet-use/series_train.parquet/id={id}/part-0.parquet'\ncmi = pd.read_parquet(path)\ncmi[cmi['non-wear_flag']==1]","metadata":{"execution":{"iopub.status.busy":"2024-10-29T06:57:25.654206Z","iopub.execute_input":"2024-10-29T06:57:25.655128Z","iopub.status.idle":"2024-10-29T06:57:25.749985Z","shell.execute_reply.started":"2024-10-29T06:57:25.655072Z","shell.execute_reply":"2024-10-29T06:57:25.748536Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}