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鍾毓驥 justimchung

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  • 長榮大學
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@justimchung
justimchung / credit_score.csv
Created November 30, 2021 03:33
Status Seniority Home Time Age Marital Records Job Expenses Income Assets Debt Amount Price
ok 9 1 60 30 2 no 3 73 129 0 0 800 846
ok 17 1 60 58 3 no 1 48 131 0 0 1000 1658
fail 10 2 36 46 2 yes 3 90 200 3000 0 2000 2985
ok 0 1 60 24 1 no 1 63 182 2500 0 900 1325
ok 0 1 36 26 1 no 1 46 107 0 0 310 910
ok 1 2 60 36 2 no 1 75 214 3500 0 650 1645
ok 29 2 60 44 2 no 1 75 125 10000 0 1600 1800
ok 9 5 12 27 1 no 1 35 80 0 0 200 1093
ok 0 2 60 32 2 no 3 90 107 15000 0 1200 1957
@justimchung
justimchung / credit.csv
Created November 26, 2021 12:01
Status Seniority Home Time Age Marital Records Job Expenses Income Assets Debt Amount Price
1 9 1 60 30 2 1 3 73 129 0 0 800 846
1 17 1 60 58 3 1 1 48 131 0 0 1000 1658
2 10 2 36 46 2 2 3 90 200 3000 0 2000 2985
1 0 1 60 24 1 1 1 63 182 2500 0 900 1325
1 0 1 36 26 1 1 1 46 107 0 0 310 910
1 1 2 60 36 2 1 1 75 214 3500 0 650 1645
1 29 2 60 44 2 1 1 75 125 10000 0 1600 1800
1 9 5 12 27 1 1 1 35 80 0 0 200 1093
1 0 2 60 32 2 1 3 90 107 15000 0 1200 1957
@justimchung
justimchung / diamond2.csv
Created November 10, 2021 07:44
We can't make this file beautiful and searchable because it's too large.
carat,cut,color,clarity,table,price,x,y,z
0.23,Ideal,E,SI2,55,326,3.95,3.98,2.43
0.21,Premium,E,SI1,61,326,3.89,3.84,2.31
0.23,Good,E,VS1,65,327,4.05,4.07,2.31
0.29,Premium,I,VS2,58,334,4.2,4.23,2.63
0.31,Good,J,SI2,58,335,4.34,4.35,2.75
0.24,Very Good,J,VVS2,57,336,3.94,3.96,2.48
0.24,Very Good,I,VVS1,57,336,3.95,3.98,2.47
0.26,Very Good,H,SI1,55,337,4.07,4.11,2.53
0.22,Fair,E,VS2,61,337,3.87,3.78,2.49
@justimchung
justimchung / diamond.csv
Created November 10, 2021 07:17
We can't make this file beautiful and searchable because it's too large.
carat,cut,color,clarity,depth,table,price,x,y,z
0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43
0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31
0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31
0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63
0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75
0.24,Very Good,J,VVS2,62.8,57,336,3.94,3.96,2.48
0.24,Very Good,I,VVS1,62.3,57,336,3.95,3.98,2.47
0.26,Very Good,H,SI1,61.9,55,337,4.07,4.11,2.53
0.22,Fair,E,VS2,65.1,61,337,3.87,3.78,2.49
@justimchung
justimchung / social.csv
Created November 7, 2021 13:58
User ID Gender Age EstimatedSalary Purchased
15624510 Male 19 19000 0
15810944 Male 35 20000 0
15668575 Female 26 43000 0
15603246 Female 27 57000 0
15804002 Male 19 76000 0
15728773 Male 27 58000 0
15598044 Female 27 84000 0
15694829 Female 32 150000 1
15600575 Male 25 33000 0
@justimchung
justimchung / salary.csv
Created October 31, 2021 14:07
experience salary
1.1 39343
1.3 46205
1.5 37731
2 43525
2.2 39891
2.9 56642
3 60150
3.2 54445
3.2 64445
@justimchung
justimchung / falldetection.csv
Created June 22, 2020 06:12
Fall detection data
We can't make this file beautiful and searchable because it's too large.
ACTIVITY,TIME,SL,EEG,BP,HR,CIRCLUATION
3,4722.92,4019.64,-1.60E+03,13,79,317
2,4059.12,2191.03,-1146.08,20,54,165
2,4773.56,2787.99,-1263.38,46,67,224
4,8271.27,9545.98,-2848.93,26,138,554
4,7102.16,14148.8,-2381.15,85,120,809
5,7015.24,7336.79,-1699.8,22,95,427
3,8620.28,24949.9,-3198.06,35,157,1519
3,9238.73,39245.5,-2.59E+03,15,196,1885
0,12276.4,59742,-5101,56,249,2826
@justimchung
justimchung / iris.csv
Created March 13, 2020 07:42
SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm Species
5.1 3.5 1.4 0.2 Iris-setosa
4.9 3 1.4 0.2 Iris-setosa
4.7 3.2 1.3 0.2 Iris-setosa
4.6 3.1 1.5 0.2 Iris-setosa
5 3.6 1.4 0.2 Iris-setosa
5.4 3.9 1.7 0.4 Iris-setosa
4.6 3.4 1.4 0.3 Iris-setosa
5 3.4 1.5 0.2 Iris-setosa
4.4 2.9 1.4 0.2 Iris-setosa
@justimchung
justimchung / Admission_Predict_nullvalue.csv
Created January 15, 2020 01:50
Serial No. GRE_Score TOEFL_Score University_Rating SOP LOR CGPA Research Chance_of_Admit
9 302 102 1 2 1.5 8 0 0.5
29 295 93 1 2 2 7.2 0 0.46
38 300 105 1 1 2 7.8 0 0.58
39 304 105 1 3 1.5 7.5 0 0.52
59 300 99 1 3 2 6.8 1 0.36
80 294 93 1 1.5 2 7.36 0 0.46
140 318 109 1 3.5 3.5 9.12 0 0.78
160 297 100 1 1.5 2 7.9 0 0.52
161 315 103 1 1.5 2 7.86 0 0.57
@justimchung
justimchung / pandas_groupby_for.py
Created September 15, 2019 03:25
# 使用 for...loop 來列出所有 group 的資料
for name, group in grouped:
print(name)
print(group)