Age,Sex,BP,Cholesterol,Na,K,Drug
23,F,HIGH,HIGH,0.792535,0.031258,drugY
47,M,LOW,HIGH,0.739309,0.056468,drugC
47,M,LOW,HIGH,0.697269,0.068944,drugC
28,F,NORMAL,HIGH,0.563682,0.072289,drugX
61,F,LOW,HIGH,0.559294,0.030998,drugY
22,F,NORMAL,HIGH,0.676901,0.078647,drugX
49,F,NORMAL,HIGH,0.789637,0.048518,drugY
41,M,LOW,HIGH,0.766635,0.069461,drugC
60,M,NORMAL,HIGH,0.777205,0.05123,drugY
43,M,LOW,NORMAL,0.526102,0.027164,drugY
47,F,LOW,HIGH,0.896056,0.076147,drugC
34,F,HIGH,NORMAL,0.667775,0.034782,drugY
43,M,LOW,HIGH,0.626527,0.040746,drugY
74,F,LOW,HIGH,0.792674,0.037851,drugY
50,F,NORMAL,HIGH,0.82778,0.065166,drugX
16,F,HIGH,NORMAL,0.833837,0.053742,drugY
69,M,LOW,NORMAL,0.848948,0.074111,drugX
43,M,HIGH,HIGH,0.656371,0.046979,drugA
23,M,LOW,HIGH,0.55906,0.076609,drugC
32,F,HIGH,NORMAL,0.643455,0.024773,drugY
57,M,LOW,NORMAL,0.536746,0.028061,drugY
63,M,NORMAL,HIGH,0.616117,0.023773,drugY
47,M,LOW,NORMAL,0.809199,0.026472,drugY
48,F,LOW,HIGH,0.87444,0.058155,drugY
33,F,LOW,HIGH,0.858387,0.025634,drugY
28,F,HIGH,NORMAL,0.556833,0.029604,drugY
31,M,HIGH,HIGH,0.740936,0.0244,drugY
49,F,NORMAL,NORMAL,0.694689,0.074055,drugX
39,F,LOW,NORMAL,0.649096,0.028598,drugY
45,M,LOW,HIGH,0.753504,0.041976,drugY
18,F,NORMAL,NORMAL,0.553567,0.063265,drugX
74,M,HIGH,HIGH,0.715337,0.074773,drugB
49,M,LOW,NORMAL,0.625889,0.056828,drugX
65,F,HIGH,NORMAL,0.828898,0.026004,drugY
53,M,NORMAL,HIGH,0.644936,0.045632,drugX
46,M,NORMAL,NORMAL,0.526226,0.072234,drugX
32,M,HIGH,NORMAL,0.52975,0.056087,drugA
39,M,LOW,NORMAL,0.604973,0.043404,drugX
39,F,NORMAL,NORMAL,0.517515,0.053301,drugX
15,M,NORMAL,HIGH,0.64236,0.07071,drugX
73,F,NORMAL,HIGH,0.832683,0.043321,drugY
58,F,HIGH,NORMAL,0.868924,0.061023,drugB
50,M,NORMAL,NORMAL,0.747815,0.04736,drugY
23,M,NORMAL,HIGH,0.593596,0.048417,drugX
50,F,NORMAL,NORMAL,0.601915,0.048957,drugX
66,F,NORMAL,NORMAL,0.611333,0.075412,drugX
37,F,HIGH,HIGH,0.559171,0.042713,drugA
68,M,LOW,HIGH,0.726677,0.070616,drugC
23,M,NORMAL,HIGH,0.888629,0.028045,drugY
28,F,LOW,HIGH,0.606933,0.030659,drugY
58,F,HIGH,HIGH,0.560854,0.028886,drugY
67,M,NORMAL,NORMAL,0.846892,0.077711,drugX
62,M,LOW,NORMAL,0.804173,0.029584,drugY
24,F,HIGH,NORMAL,0.648646,0.035144,drugY
68,F,HIGH,NORMAL,0.77541,0.0761,drugB
26,F,LOW,HIGH,0.578002,0.040819,drugC
65,M,HIGH,NORMAL,0.635551,0.056043,drugB
40,M,HIGH,HIGH,0.557133,0.020022,drugY
60,M,NORMAL,NORMAL,0.645515,0.063971,drugX
34,M,HIGH,HIGH,0.888144,0.047486,drugY
38,F,LOW,NORMAL,0.598753,0.020042,drugY
24,M,HIGH,NORMAL,0.613261,0.064726,drugA
67,M,LOW,NORMAL,0.820638,0.039657,drugY
45,M,LOW,NORMAL,0.532632,0.063636,drugX
60,F,HIGH,HIGH,0.800607,0.060181,drugB
68,F,NORMAL,NORMAL,0.821584,0.030373,drugY
29,M,HIGH,HIGH,0.625272,0.048637,drugA
17,M,NORMAL,NORMAL,0.722286,0.06668,drugX
54,M,NORMAL,HIGH,0.504995,0.02048,drugY
18,F,HIGH,NORMAL,0.564811,0.023266,drugY
70,M,HIGH,HIGH,0.658606,0.047153,drugB
28,F,NORMAL,HIGH,0.860775,0.04375,drugY
24,F,NORMAL,HIGH,0.80554,0.07596,drugX
41,F,NORMAL,NORMAL,0.844196,0.036857,drugY
31,M,HIGH,NORMAL,0.88624,0.051922,drugY
26,M,LOW,NORMAL,0.790664,0.037815,drugY
36,F,HIGH,HIGH,0.734119,0.065556,drugA
26,F,HIGH,NORMAL,0.823793,0.042994,drugY
19,F,HIGH,HIGH,0.516973,0.038832,drugA
32,F,LOW,NORMAL,0.724422,0.066829,drugX
60,M,HIGH,HIGH,0.805651,0.057821,drugB
64,M,NORMAL,HIGH,0.5126,0.066049,drugX
32,F,LOW,HIGH,0.730854,0.075256,drugC
38,F,HIGH,NORMAL,0.733842,0.064793,drugA
47,F,LOW,HIGH,0.539774,0.05362,drugC
59,M,HIGH,HIGH,0.816356,0.058583,drugB
51,F,NORMAL,HIGH,0.678646,0.04991,drugX
69,M,LOW,HIGH,0.854733,0.055221,drugY
37,F,HIGH,NORMAL,0.795312,0.034443,drugY
50,F,NORMAL,NORMAL,0.73961,0.042972,drugY
62,M,NORMAL,HIGH,0.755873,0.045551,drugY
41,M,HIGH,NORMAL,0.658397,0.043442,drugY
29,F,HIGH,HIGH,0.857934,0.029132,drugY
42,F,LOW,NORMAL,0.763404,0.026081,drugY
56,M,LOW,HIGH,0.812663,0.054123,drugY
36,M,LOW,NORMAL,0.52765,0.046188,drugX
58,F,LOW,HIGH,0.886865,0.023188,drugY
56,F,HIGH,HIGH,0.750962,0.029571,drugY
20,M,HIGH,NORMAL,0.764067,0.021439,drugY
15,F,HIGH,NORMAL,0.697052,0.041677,drugY
31,M,HIGH,NORMAL,0.695183,0.058559,drugA
45,F,HIGH,HIGH,0.547821,0.042619,drugA
28,F,LOW,HIGH,0.656292,0.049997,drugC
56,M,NORMAL,HIGH,0.627866,0.070026,drugX
22,M,HIGH,NORMAL,0.860621,0.030417,drugY
37,M,LOW,NORMAL,0.616692,0.068765,drugX
22,M,NORMAL,HIGH,0.536324,0.044871,drugX
42,M,LOW,HIGH,0.756097,0.03778,drugY
72,M,HIGH,NORMAL,0.72142,0.074552,drugB
23,M,NORMAL,HIGH,0.543355,0.032247,drugY
50,M,HIGH,HIGH,0.518285,0.069193,drugA
47,F,NORMAL,NORMAL,0.526835,0.078828,drugX
35,M,LOW,NORMAL,0.685143,0.074717,drugX
65,F,LOW,NORMAL,0.760221,0.055214,drugX
20,F,NORMAL,NORMAL,0.581591,0.062667,drugX
51,M,HIGH,HIGH,0.83849,0.045831,drugY
67,M,NORMAL,NORMAL,0.721257,0.075808,drugX
40,F,NORMAL,HIGH,0.512517,0.05073,drugX
32,F,HIGH,NORMAL,0.724375,0.070383,drugA
61,F,HIGH,HIGH,0.63126,0.02478,drugY
28,M,NORMAL,HIGH,0.584179,0.021585,drugY
15,M,HIGH,NORMAL,0.58301,0.033885,drugY
34,M,NORMAL,HIGH,0.602557,0.026833,drugY
36,F,NORMAL,HIGH,0.563217,0.033618,drugY
53,F,HIGH,NORMAL,0.760809,0.060889,drugB
19,F,HIGH,NORMAL,0.742092,0.028576,drugY
66,M,HIGH,HIGH,0.84985,0.051988,drugY
35,M,NORMAL,NORMAL,0.523623,0.066745,drugX
47,M,LOW,NORMAL,0.84773,0.025274,drugY
32,F,NORMAL,HIGH,0.549375,0.073474,drugX
70,F,NORMAL,HIGH,0.725424,0.035406,drugY
52,M,LOW,NORMAL,0.663146,0.020143,drugY
49,M,LOW,NORMAL,0.510473,0.037539,drugX
24,M,NORMAL,HIGH,0.854591,0.033142,drugY
42,F,HIGH,HIGH,0.533228,0.025348,drugY
74,M,LOW,NORMAL,0.787812,0.065984,drugX
55,F,HIGH,HIGH,0.637231,0.058054,drugB
35,F,HIGH,HIGH,0.869854,0.06746,drugA
51,M,HIGH,NORMAL,0.832467,0.073392,drugB
69,F,NORMAL,HIGH,0.773798,0.076882,drugX
49,M,HIGH,NORMAL,0.500169,0.079788,drugA
64,F,LOW,NORMAL,0.554182,0.021529,drugY
60,M,HIGH,NORMAL,0.635762,0.073744,drugB
74,M,HIGH,NORMAL,0.818999,0.053057,drugY
39,M,HIGH,HIGH,0.731091,0.075652,drugA
61,M,NORMAL,HIGH,0.745123,0.078906,drugX
37,F,LOW,NORMAL,0.804155,0.066981,drugX
26,F,HIGH,NORMAL,0.781928,0.063535,drugA
61,F,LOW,NORMAL,0.522891,0.071238,drugX
22,M,LOW,HIGH,0.526672,0.064617,drugC
49,M,HIGH,NORMAL,0.538183,0.061859,drugA
68,M,HIGH,HIGH,0.639888,0.058123,drugB
55,M,NORMAL,NORMAL,0.509181,0.070126,drugX
72,F,LOW,NORMAL,0.7586,0.05181,drugX
37,M,LOW,NORMAL,0.73154,0.043743,drugY
49,M,LOW,HIGH,0.655222,0.062181,drugC
31,M,HIGH,NORMAL,0.749717,0.06678,drugA
53,M,LOW,HIGH,0.618603,0.026939,drugY
59,F,LOW,HIGH,0.640455,0.06132,drugC
34,F,LOW,NORMAL,0.825542,0.063881,drugX
30,F,NORMAL,HIGH,0.501956,0.048067,drugX
57,F,HIGH,NORMAL,0.754166,0.075832,drugB
43,M,NORMAL,NORMAL,0.538856,0.041905,drugX
21,F,HIGH,NORMAL,0.745098,0.026023,drugY
16,M,HIGH,NORMAL,0.561019,0.029516,drugY
38,M,LOW,HIGH,0.851019,0.046516,drugY
58,F,LOW,HIGH,0.887928,0.033324,drugY
57,F,NORMAL,HIGH,0.596099,0.041931,drugX
51,F,LOW,NORMAL,0.876828,0.038118,drugY
20,F,HIGH,HIGH,0.887426,0.078798,drugA
28,F,NORMAL,HIGH,0.744956,0.057843,drugX
45,M,LOW,NORMAL,0.71486,0.071367,drugX
39,F,NORMAL,NORMAL,0.809196,0.046978,drugY
41,F,LOW,NORMAL,0.749905,0.040018,drugY
42,M,HIGH,NORMAL,0.85794,0.067203,drugA
73,F,HIGH,HIGH,0.808019,0.044038,drugY
48,M,HIGH,NORMAL,0.769197,0.073633,drugA
25,M,NORMAL,HIGH,0.775702,0.040803,drugY
39,M,NORMAL,HIGH,0.609566,0.038171,drugY
67,F,NORMAL,HIGH,0.785251,0.049416,drugY
22,F,HIGH,NORMAL,0.817625,0.035832,drugY
59,F,NORMAL,HIGH,0.882486,0.063563,drugX
20,F,LOW,NORMAL,0.811023,0.069402,drugX
36,F,HIGH,NORMAL,0.575058,0.037124,drugY
18,F,HIGH,HIGH,0.88515,0.023802,drugY
57,F,NORMAL,NORMAL,0.551967,0.021317,drugY
70,M,HIGH,HIGH,0.589493,0.059854,drugB
47,M,HIGH,HIGH,0.56332,0.054152,drugA
65,M,HIGH,NORMAL,0.8645,0.024702,drugY
64,M,HIGH,NORMAL,0.739914,0.035349,drugY
58,M,HIGH,HIGH,0.76909,0.040497,drugY
23,M,HIGH,HIGH,0.53406,0.066666,drugA
72,M,LOW,HIGH,0.547347,0.03356,drugY
72,M,LOW,HIGH,0.50482,0.074573,drugC
46,F,HIGH,HIGH,0.773569,0.022302,drugY
56,F,LOW,HIGH,0.848774,0.07338,drugC
16,M,LOW,HIGH,0.743021,0.061886,drugC
52,M,NORMAL,HIGH,0.549945,0.055581,drugX
23,M,NORMAL,NORMAL,0.78452,0.055959,drugX
40,F,LOW,NORM
备选数据集.zip
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更新于2023-11-13
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标题 "备选数据集.zip" 暗示我们拥有一个包含多个数据文件的压缩包,这些文件可能用于各种数据分析或机器学习任务。由于没有具体的标签信息,我们可以根据提供的文件名来推测每个文件可能涵盖的数据类型和相关知识点。
1. **浏览记录.csv**:这是一个可能包含用户浏览历史的数据集,通常包括用户ID、访问时间、访问页面URL等信息。这种数据在推荐系统、用户行为分析和个性化营销中非常有价值。可以进行用户行为模式识别、购买预测和热门页面分析。
2. **广告.csv**:此文件可能涉及广告投放的效果,如广告ID、展示次数、点击次数、转化率等。这可以帮助分析广告效果,优化广告策略,了解用户对不同广告的反应。
3. **叶子形状.csv**:可能是一个生物或植物学数据集,记录了不同叶子的形状特征,如叶长、叶宽、叶缘形状等。这些数据可以用于机器学习模型训练,实现叶子识别或分类任务。
4. **汽车MPG.csv**:这可能是一个关于汽车燃油效率(英里每加仑,MPG)的数据集,包含汽车的品牌、型号、年份、排量等信息。常用于探索汽车性能与燃油经济性的关系,或者构建预测模型。
5. **批发商数据.csv**:可能是一个批发业务的数据集,包含商品ID、数量、价格、供应商信息等,可用于供应链管理、库存控制和销售趋势分析。
6. **优惠券核销数据.csv**:此数据集可能涉及促销活动,记录优惠券的发放、使用情况和效果,帮助评估营销策略的有效性,优化促销策略。
7. **药物研究.txt**:可能包含药物研发过程中的实验数据,如化合物结构、药效、副作用等,对于药物发现和医学研究非常重要。
8. **环境污染数据.txt**:这个文本文件可能包含了关于空气、水或土壤污染的数据,如污染物浓度、地理位置和时间等,有助于环境质量评估和污染源追踪。
9. **电信客户数据.xlsx**:电信行业的客户数据,可能包括通话记录、账单信息、服务套餐等,分析这类数据有助于客户细分、流失预测和提高客户满意度。
10. **电视剧播放数据.xlsx**:可能包含电视剧的收视率、播放时段、观众群体等,对于媒体分析、内容推荐和电视节目制作决策都有指导意义。
通过深入挖掘和整合这些数据,可以进行跨领域的数据分析,例如,将电信客户数据与电视剧播放数据结合,研究观看习惯对电信服务的影响;或将汽车MPG数据与环境污染数据关联,探讨环保驾驶行为。数据科学的魅力在于其能从看似无关的数据中揭示出有价值的洞察,这些数据集为我们提供了丰富的实践机会。
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