Overview

Dataset statistics

Number of variables50
Number of observations1006
Missing cells449
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory442.2 KiB
Average record size in memory450.1 B

Variable types

Numeric6
Categorical44

Dataset

Description한국산림복지진흥원 2023년 공공데이터 인지 활용도 조사(2023년 6월 14일부터 6월 30일까지)한 원천데이터로, 인지도, 만족도, 개선사항, 활용분야 등으로 구성됩니다.
URLhttps://www.data.go.kr/data/15119682/fileData.do

Alerts

문7의5 is highly imbalanced (65.1%)Imbalance
문7의10 is highly imbalanced (56.9%)Imbalance
문7의14 is highly imbalanced (63.9%)Imbalance
문7의15 is highly imbalanced (73.6%)Imbalance
문7의16 is highly imbalanced (67.8%)Imbalance
문7의18 is highly imbalanced (97.9%)Imbalance
문12의5 is highly imbalanced (83.7%)Imbalance
문12의6 is highly imbalanced (64.7%)Imbalance
문12의7 is highly imbalanced (58.6%)Imbalance
문12의8 is highly imbalanced (66.2%)Imbalance
문12의10 is highly imbalanced (58.2%)Imbalance
문12의11 is highly imbalanced (51.4%)Imbalance
문12의12 is highly imbalanced (60.3%)Imbalance
문12의13 is highly imbalanced (61.7%)Imbalance
문12의14 is highly imbalanced (85.4%)Imbalance
문12의15 is highly imbalanced (92.6%)Imbalance
문12의16 is highly imbalanced (84.3%)Imbalance
문12의17 is highly imbalanced (54.9%)Imbalance
문12의18 is highly imbalanced (98.9%)Imbalance
문11 has 449 (44.6%) missing valuesMissing
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:02:16.187040
Analysis finished2023-12-12 04:02:16.771380
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct1006
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.5
Minimum1
Maximum1006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:16.880304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.25
Q1252.25
median503.5
Q3754.75
95-th percentile955.75
Maximum1006
Range1005
Interquartile range (IQR)502.5

Descriptive statistics

Standard deviation290.55149
Coefficient of variation (CV)0.57706353
Kurtosis-1.2
Mean503.5
Median Absolute Deviation (MAD)251.5
Skewness0
Sum506521
Variance84420.167
MonotonicityStrictly increasing
2023-12-12T13:02:17.098345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
677 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
668 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
Other values (996) 996
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%

문1
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
522 
1
248 
3
200 
4
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 522
51.9%
1 248
24.7%
3 200
 
19.9%
4 36
 
3.6%

Length

2023-12-12T13:02:17.634903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:17.793610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 522
51.9%
1 248
24.7%
3 200
 
19.9%
4 36
 
3.6%

문2
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
507 
1
329 
3
149 
4
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 507
50.4%
1 329
32.7%
3 149
 
14.8%
4 21
 
2.1%

Length

2023-12-12T13:02:17.985894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:18.142800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 507
50.4%
1 329
32.7%
3 149
 
14.8%
4 21
 
2.1%

문3
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
465 
3
229 
1
212 
4
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row3
5th row2

Common Values

ValueCountFrequency (%)
2 465
46.2%
3 229
22.8%
1 212
21.1%
4 100
 
9.9%

Length

2023-12-12T13:02:18.291038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:18.465361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 465
46.2%
3 229
22.8%
1 212
21.1%
4 100
 
9.9%

문4
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0765408
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:18.627634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3086419
Coefficient of variation (CV)0.32101774
Kurtosis-0.040340546
Mean4.0765408
Median Absolute Deviation (MAD)1
Skewness-0.76636234
Sum4101
Variance1.7125436
MonotonicityNot monotonic
2023-12-12T13:02:18.786328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 345
34.3%
5 332
33.0%
2 108
 
10.7%
6 98
 
9.7%
3 67
 
6.7%
1 56
 
5.6%
ValueCountFrequency (%)
1 56
 
5.6%
2 108
 
10.7%
3 67
 
6.7%
4 345
34.3%
5 332
33.0%
6 98
 
9.7%
ValueCountFrequency (%)
6 98
 
9.7%
5 332
33.0%
4 345
34.3%
3 67
 
6.7%
2 108
 
10.7%
1 56
 
5.6%

문5
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3280318
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:18.905789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8103488
Coefficient of variation (CV)0.54396979
Kurtosis-1.1022344
Mean3.3280318
Median Absolute Deviation (MAD)1
Skewness0.31240675
Sum3348
Variance3.2773627
MonotonicityNot monotonic
2023-12-12T13:02:19.087297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 226
22.5%
1 212
21.1%
6 204
20.3%
2 155
15.4%
4 149
14.8%
5 47
 
4.7%
7 11
 
1.1%
8 2
 
0.2%
ValueCountFrequency (%)
1 212
21.1%
2 155
15.4%
3 226
22.5%
4 149
14.8%
5 47
 
4.7%
6 204
20.3%
7 11
 
1.1%
8 2
 
0.2%
ValueCountFrequency (%)
8 2
 
0.2%
7 11
 
1.1%
6 204
20.3%
5 47
 
4.7%
4 149
14.8%
3 226
22.5%
2 155
15.4%
1 212
21.1%

문6
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7823062
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:19.254193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9294329
Coefficient of variation (CV)0.69346536
Kurtosis-0.59843256
Mean2.7823062
Median Absolute Deviation (MAD)1
Skewness0.84404893
Sum2799
Variance3.7227115
MonotonicityNot monotonic
2023-12-12T13:02:19.404098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 369
36.7%
2 202
20.1%
3 145
 
14.4%
6 117
 
11.6%
4 73
 
7.3%
5 52
 
5.2%
7 47
 
4.7%
8 1
 
0.1%
ValueCountFrequency (%)
1 369
36.7%
2 202
20.1%
3 145
 
14.4%
4 73
 
7.3%
5 52
 
5.2%
6 117
 
11.6%
7 47
 
4.7%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 47
 
4.7%
6 117
 
11.6%
5 52
 
5.2%
4 73
 
7.3%
3 145
 
14.4%
2 202
20.1%
1 369
36.7%

문7의1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
611 
1
395 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 611
60.7%
1 395
39.3%

Length

2023-12-12T13:02:19.569000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:19.681392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 611
60.7%
1 395
39.3%

문7의2
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
688 
1
318 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 688
68.4%
1 318
31.6%

Length

2023-12-12T13:02:19.785948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:19.899435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 688
68.4%
1 318
31.6%

문7의3
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
767 
1
239 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 767
76.2%
1 239
 
23.8%

Length

2023-12-12T13:02:20.055794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:20.184023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 767
76.2%
1 239
 
23.8%

문7의4
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
814 
1
192 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 814
80.9%
1 192
 
19.1%

Length

2023-12-12T13:02:20.353493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:20.489446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 814
80.9%
1 192
 
19.1%

문7의5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
940 
1
 
66

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 940
93.4%
1 66
 
6.6%

Length

2023-12-12T13:02:20.638269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:20.771808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 940
93.4%
1 66
 
6.6%

문7의6
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
871 
1
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 871
86.6%
1 135
 
13.4%

Length

2023-12-12T13:02:20.944290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:21.088897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 871
86.6%
1 135
 
13.4%

문7의7
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
812 
1
194 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 812
80.7%
1 194
 
19.3%

Length

2023-12-12T13:02:21.217811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:21.371381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 812
80.7%
1 194
 
19.3%

문7의8
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
863 
1
143 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 863
85.8%
1 143
 
14.2%

Length

2023-12-12T13:02:21.507773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:21.642676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 863
85.8%
1 143
 
14.2%

문7의9
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
764 
1
242 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 764
75.9%
1 242
 
24.1%

Length

2023-12-12T13:02:21.778558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:21.879603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 764
75.9%
1 242
 
24.1%

문7의10
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
917 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 917
91.2%
1 89
 
8.8%

Length

2023-12-12T13:02:21.983595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:22.102849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 917
91.2%
1 89
 
8.8%

문7의11
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
877 
1
129 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 877
87.2%
1 129
 
12.8%

Length

2023-12-12T13:02:22.217162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:22.317936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 877
87.2%
1 129
 
12.8%

문7의12
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
878 
1
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 878
87.3%
1 128
 
12.7%

Length

2023-12-12T13:02:22.472109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:22.636766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 878
87.3%
1 128
 
12.7%

문7의13
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
825 
1
181 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 825
82.0%
1 181
 
18.0%

Length

2023-12-12T13:02:22.768879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:22.893677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 825
82.0%
1 181
 
18.0%

문7의14
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
937 
1
 
69

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 937
93.1%
1 69
 
6.9%

Length

2023-12-12T13:02:23.059736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:23.181423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 937
93.1%
1 69
 
6.9%

문7의15
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
961 
1
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 961
95.5%
1 45
 
4.5%

Length

2023-12-12T13:02:23.293268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:23.390613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 961
95.5%
1 45
 
4.5%

문7의16
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
947 
1
 
59

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 947
94.1%
1 59
 
5.9%

Length

2023-12-12T13:02:23.505729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:23.610198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 947
94.1%
1 59
 
5.9%

문7의17
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
777 
1
229 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 777
77.2%
1 229
 
22.8%

Length

2023-12-12T13:02:23.733965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:23.839111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 777
77.2%
1 229
 
22.8%

문7의18
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
1004 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1004
99.8%
1 2
 
0.2%

Length

2023-12-12T13:02:23.992807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:24.145322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1004
99.8%
1 2
 
0.2%

문8
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3121272
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:24.260338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.844716
Coefficient of variation (CV)0.55695808
Kurtosis-0.98945016
Mean3.3121272
Median Absolute Deviation (MAD)2
Skewness0.32637703
Sum3332
Variance3.4029772
MonotonicityNot monotonic
2023-12-12T13:02:24.393972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 231
23.0%
3 168
16.7%
5 162
16.1%
2 162
16.1%
4 147
14.6%
6 77
 
7.7%
7 59
 
5.9%
ValueCountFrequency (%)
1 231
23.0%
2 162
16.1%
3 168
16.7%
4 147
14.6%
5 162
16.1%
6 77
 
7.7%
7 59
 
5.9%
ValueCountFrequency (%)
7 59
 
5.9%
6 77
 
7.7%
5 162
16.1%
4 147
14.6%
3 168
16.7%
2 162
16.1%
1 231
23.0%

문9
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1
535 
2
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 535
53.2%
2 471
46.8%

Length

2023-12-12T13:02:24.550067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:24.671070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 535
53.2%
2 471
46.8%

문10
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
435 
1
309 
2
262 

Length

Max length4
Median length1
Mean length2.2972167
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 435
43.2%
1 309
30.7%
2 262
26.0%

Length

2023-12-12T13:02:24.797573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:24.928993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 435
43.2%
1 309
30.7%
2 262
26.0%

문11
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.1%
Missing449
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean3.443447
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-12T13:02:25.042000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.4858255
Coefficient of variation (CV)0.43149363
Kurtosis-1.2073749
Mean3.443447
Median Absolute Deviation (MAD)1
Skewness-0.40639489
Sum1918
Variance2.2076773
MonotonicityNot monotonic
2023-12-12T13:02:25.229208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 186
18.5%
4 114
 
11.3%
1 90
 
8.9%
3 88
 
8.7%
2 74
 
7.4%
6 5
 
0.5%
(Missing) 449
44.6%
ValueCountFrequency (%)
1 90
8.9%
2 74
 
7.4%
3 88
8.7%
4 114
11.3%
5 186
18.5%
6 5
 
0.5%
ValueCountFrequency (%)
6 5
 
0.5%
5 186
18.5%
4 114
11.3%
3 88
8.7%
2 74
 
7.4%
1 90
8.9%

문12의1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
836 
1
170 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 836
83.1%
1 170
 
16.9%

Length

2023-12-12T13:02:25.400125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:25.559666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 836
83.1%
1 170
 
16.9%

문12의2
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
862 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 862
85.7%
1 144
 
14.3%

Length

2023-12-12T13:02:25.733655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:25.893483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 862
85.7%
1 144
 
14.3%

문12의3
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
860 
1
146 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 860
85.5%
1 146
 
14.5%

Length

2023-12-12T13:02:26.074004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:26.179309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 860
85.5%
1 146
 
14.5%

문12의4
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
885 
1
121 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 885
88.0%
1 121
 
12.0%

Length

2023-12-12T13:02:26.281637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:26.393173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 885
88.0%
1 121
 
12.0%

문12의5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
982 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 982
97.6%
1 24
 
2.4%

Length

2023-12-12T13:02:26.517745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:26.630735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 982
97.6%
1 24
 
2.4%

문12의6
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
939 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 939
93.3%
1 67
 
6.7%

Length

2023-12-12T13:02:26.768241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:26.909414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 939
93.3%
1 67
 
6.7%

문12의7
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
922 
1
 
84

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 922
91.7%
1 84
 
8.3%

Length

2023-12-12T13:02:27.050105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:27.205675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 922
91.7%
1 84
 
8.3%

문12의8
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
943 
1
 
63

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 943
93.7%
1 63
 
6.3%

Length

2023-12-12T13:02:27.334965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:27.454300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 943
93.7%
1 63
 
6.3%

문12의9
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
890 
1
116 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 890
88.5%
1 116
 
11.5%

Length

2023-12-12T13:02:27.599422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:27.718525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 890
88.5%
1 116
 
11.5%

문12의10
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
921 
1
 
85

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 921
91.6%
1 85
 
8.4%

Length

2023-12-12T13:02:27.854636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:27.974401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 921
91.6%
1 85
 
8.4%

문12의11
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
900 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 900
89.5%
1 106
 
10.5%

Length

2023-12-12T13:02:28.114228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:28.265577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 900
89.5%
1 106
 
10.5%

문12의12
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
927 
1
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 927
92.1%
1 79
 
7.9%

Length

2023-12-12T13:02:28.400829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:28.515955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 927
92.1%
1 79
 
7.9%

문12의13
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
931 
1
 
75

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 931
92.5%
1 75
 
7.5%

Length

2023-12-12T13:02:28.981767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:29.093681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 931
92.5%
1 75
 
7.5%

문12의14
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
985 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 985
97.9%
1 21
 
2.1%

Length

2023-12-12T13:02:29.247800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:29.374215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 985
97.9%
1 21
 
2.1%

문12의15
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
997 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 997
99.1%
1 9
 
0.9%

Length

2023-12-12T13:02:29.507114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:29.637017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 997
99.1%
1 9
 
0.9%

문12의16
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
983 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 983
97.7%
1 23
 
2.3%

Length

2023-12-12T13:02:29.763298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:29.893474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 983
97.7%
1 23
 
2.3%

문12의17
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
911 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 911
90.6%
1 95
 
9.4%

Length

2023-12-12T13:02:30.044585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:30.190887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 911
90.6%
1 95
 
9.4%

문12의18
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
1005 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1005
99.9%
1 1
 
0.1%

Length

2023-12-12T13:02:30.335995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:30.470441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1005
99.9%
1 1
 
0.1%

문13
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
436 
2
227 
1
183 
3
113 
4
 
38

Length

Max length4
Median length1
Mean length2.3001988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 436
43.3%
2 227
22.6%
1 183
18.2%
3 113
 
11.2%
4 38
 
3.8%
5 9
 
0.9%

Length

2023-12-12T13:02:30.617387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:30.766006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 436
43.3%
2 227
22.6%
1 183
18.2%
3 113
 
11.2%
4 38
 
3.8%
5 9
 
0.9%

문14
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
539 
2
364 
1
103 

Length

Max length4
Median length4
Mean length2.6073559
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row<NA>
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 539
53.6%
2 364
36.2%
1 103
 
10.2%

Length

2023-12-12T13:02:30.912097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:31.062875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 539
53.6%
2 364
36.2%
1 103
 
10.2%

문15
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
474 
3
324 
1
208 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 474
47.1%
3 324
32.2%
1 208
20.7%

Length

2023-12-12T13:02:31.204118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:31.334809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 474
47.1%
3 324
32.2%
1 208
20.7%

Sample

구분문1문2문3문4문5문6문7의1문7의2문7의3문7의4문7의5문7의6문7의7문7의8문7의9문7의10문7의11문7의12문7의13문7의14문7의15문7의16문7의17문7의18문8문9문10문11문12의1문12의2문12의3문12의4문12의5문12의6문12의7문12의8문12의9문12의10문12의11문12의12문12의13문12의14문12의15문12의16문12의17문12의18문13문14문15
0122342200100000000100100061250011001000000000004<NA>1
1222243110000001001100000042<NA><NA>000000000000000000<NA>22
2311143511100110100000001011251100000000000000102<NA>2
3422352201100000100000000052<NA><NA>000000000000000000<NA>22
4522253200010001100000000022<NA><NA>000000000000000000<NA>21
5623262500010000000011000022<NA><NA>000000000000000000<NA>22
6723253300010010000000010042<NA><NA>000000000000000000<NA>21
7822253210000100000000000041241010000000000000001<NA>1
8933422110000000000000000032<NA><NA>000000000000000000<NA>22
91022254200000010100000000051251000001000100000001<NA>3
구분문1문2문3문4문5문6문7의1문7의2문7의3문7의4문7의5문7의6문7의7문7의8문7의9문7의10문7의11문7의12문7의13문7의14문7의15문7의16문7의17문7의18문8문9문10문11문12의1문12의2문12의3문12의4문12의5문12의6문12의7문12의8문12의9문12의10문12의11문12의12문12의13문12의14문12의15문12의16문12의17문12의18문13문14문15
99699721151110000000000000000012<NA><NA>000000000000000000<NA>23
99799811341110000000000000000022<NA><NA>000000000000000000<NA>21
99899933456311111111111111111072<NA><NA>000000000000000000<NA>22
999100023322700000000000100000011140010000000000000002<NA>1
1000100132322310000000000000000021111001000010000000003<NA>1
1001100212315200100000000000000011121000000000000000002<NA>1
1002100312452100100000000000000011121010000000000000001<NA>2
1003100412311200100000000000000021121000000000000000002<NA>3
1004100522264200110000000000000032<NA><NA>000000000000000000<NA>22
1005100621463200000010010000001071110001000001000000004<NA>2