Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory192.0 B

Variable types

Numeric15
DateTime3
Categorical2
Text1

Dataset

Description해양수산부에서는 어업경영체연령집계 정보를 제공하고 있습니다."시도코드","법정동코드","지청코드","집계시점","시도명","법정동명","전체수","연령유형1수","연령유형2수","연령유형3수","연령유형4수","연령유형5수","연령유형6수","연령유형7수","연령유형8수","기타유형1수","기타유형2수","기타유형3수","기타유형4수","최초생성시점","최종변경시점" 입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15127406/fileData.do

Alerts

기타유형4수 is highly imbalanced (96.7%)Imbalance
연령유형1수 has 5213 (52.1%) zerosZeros
연령유형2수 has 3934 (39.3%) zerosZeros
연령유형3수 has 5033 (50.3%) zerosZeros
연령유형4수 has 4417 (44.2%) zerosZeros
연령유형5수 has 4152 (41.5%) zerosZeros
연령유형6수 has 4782 (47.8%) zerosZeros
연령유형7수 has 5646 (56.5%) zerosZeros
연령유형8수 has 4996 (50.0%) zerosZeros
기타유형1수 has 233 (2.3%) zerosZeros
기타유형2수 has 5713 (57.1%) zerosZeros
기타유형3수 has 9128 (91.3%) zerosZeros

Reproduction

Analysis started2024-04-13 12:17:38.241079
Analysis finished2024-04-13 12:17:39.608169
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.264
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:39.794077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q129
median41
Q345
95-th percentile48
Maximum50
Range39
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.258072
Coefficient of variation (CV)0.30211657
Kurtosis0.44610871
Mean37.264
Median Absolute Deviation (MAD)5
Skewness-1.2526188
Sum372640
Variance126.74418
MonotonicityNot monotonic
2024-04-13T21:17:40.209894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
41 2129
21.3%
11 1067
10.7%
46 966
9.7%
48 725
 
7.2%
47 658
 
6.6%
45 639
 
6.4%
44 586
 
5.9%
42 581
 
5.8%
26 530
 
5.3%
28 461
 
4.6%
Other values (7) 1658
16.6%
ValueCountFrequency (%)
11 1067
10.7%
26 530
 
5.3%
27 172
 
1.7%
28 461
 
4.6%
29 444
 
4.4%
30 155
 
1.6%
31 177
 
1.8%
36 174
 
1.7%
41 2129
21.3%
42 581
 
5.8%
ValueCountFrequency (%)
50 122
 
1.2%
48 725
 
7.2%
47 658
 
6.6%
46 966
9.7%
45 639
 
6.4%
44 586
 
5.9%
43 414
 
4.1%
42 581
 
5.8%
41 2129
21.3%
36 174
 
1.7%

법정동코드
Real number (ℝ)

Distinct247
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7684574 × 109
Minimum1.111 × 109
Maximum5.013 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:40.640281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.147 × 109
Q12.917 × 109
median4.159 × 109
Q34.58 × 109
95-th percentile4.833 × 109
Maximum5.013 × 109
Range3.902 × 109
Interquartile range (IQR)1.663 × 109

Descriptive statistics

Standard deviation1.1299425 × 109
Coefficient of variation (CV)0.29984217
Kurtosis0.38611304
Mean3.7684574 × 109
Median Absolute Deviation (MAD)5.25 × 108
Skewness-1.2301488
Sum3.7684574 × 1013
Variance1.27677 × 1018
MonotonicityNot monotonic
2024-04-13T21:17:41.108366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4159000000 132
 
1.3%
2917000000 106
 
1.1%
2915500000 105
 
1.1%
1165000000 105
 
1.1%
2920000000 96
 
1.0%
2817700000 96
 
1.0%
4113100000 92
 
0.9%
4119000000 89
 
0.9%
4513000000 89
 
0.9%
4122000000 87
 
0.9%
Other values (237) 9003
90.0%
ValueCountFrequency (%)
1111000000 33
0.3%
1114000000 27
0.3%
1117000000 49
0.5%
1120000000 48
0.5%
1121500000 28
0.3%
1123000000 27
0.3%
1129000000 33
0.3%
1130500000 28
0.3%
1132000000 27
0.3%
1135000000 4
 
< 0.1%
ValueCountFrequency (%)
5013000000 57
0.6%
5011000000 65
0.7%
4889000000 28
 
0.3%
4888000000 51
0.5%
4887000000 29
 
0.3%
4886000000 28
 
0.3%
4885000000 25
 
0.2%
4884000000 73
0.7%
4882000000 36
0.4%
4874000000 24
 
0.2%

지청코드
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1192362.6
Minimum1192357
Maximum1192373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:41.480738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1192357
5-th percentile1192357
Q11192360
median1192363
Q31192365
95-th percentile1192367
Maximum1192373
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5556752
Coefficient of variation (CV)2.982042 × 10-6
Kurtosis0.072617245
Mean1192362.6
Median Absolute Deviation (MAD)3
Skewness0.45283193
Sum1.1923626 × 1010
Variance12.642826
MonotonicityNot monotonic
2024-04-13T21:17:41.842809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1192367 1733
17.3%
1192363 1456
14.6%
1192358 1239
12.4%
1192362 972
9.7%
1192361 912
9.1%
1192364 902
9.0%
1192359 666
 
6.7%
1192365 646
 
6.5%
1192357 539
 
5.4%
1192360 527
 
5.3%
Other values (2) 408
 
4.1%
ValueCountFrequency (%)
1192357 539
 
5.4%
1192358 1239
12.4%
1192359 666
6.7%
1192360 527
 
5.3%
1192361 912
9.1%
1192362 972
9.7%
1192363 1456
14.6%
1192364 902
9.0%
1192365 646
6.5%
1192366 155
 
1.6%
ValueCountFrequency (%)
1192373 253
 
2.5%
1192367 1733
17.3%
1192366 155
 
1.6%
1192365 646
 
6.5%
1192364 902
9.0%
1192363 1456
14.6%
1192362 972
9.7%
1192361 912
9.1%
1192360 527
 
5.3%
1192359 666
 
6.7%

집계시점
Date

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-08-11 00:00:00
2024-04-13T21:17:42.230417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:17:42.672664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시도명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
2129 
서울특별시
1067 
전라남도
966 
경상남도
725 
경상북도
658 
Other values (12)
4455 

Length

Max length7
Median length5
Mean length4.1184
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주광역시
2nd row경상남도
3rd row서울특별시
4th row경상북도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 2129
21.3%
서울특별시 1067
10.7%
전라남도 966
9.7%
경상남도 725
 
7.2%
경상북도 658
 
6.6%
전라북도 639
 
6.4%
충청남도 586
 
5.9%
강원도 581
 
5.8%
부산광역시 530
 
5.3%
인천광역시 461
 
4.6%
Other values (7) 1658
16.6%

Length

2024-04-13T21:17:43.122893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2129
21.3%
서울특별시 1067
10.7%
전라남도 966
9.7%
경상남도 725
 
7.2%
경상북도 658
 
6.6%
전라북도 639
 
6.4%
충청남도 586
 
5.9%
강원도 581
 
5.8%
부산광역시 530
 
5.3%
인천광역시 461
 
4.6%
Other values (7) 1658
16.6%

법정동명
Text

Distinct228
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-13T21:17:44.476764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.553
Min length2

Characters and Unicode

Total characters35530
Distinct characters144
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광산구
2nd row거제시
3rd row종로구
4th row칠곡군
5th row가평군
ValueCountFrequency (%)
북구 238
 
2.1%
남구 230
 
2.0%
고양시 213
 
1.9%
용인시 194
 
1.7%
성남시 190
 
1.7%
서구 180
 
1.6%
동구 167
 
1.5%
창원시 155
 
1.4%
수원시 154
 
1.3%
중구 140
 
1.2%
Other values (227) 9561
83.7%
2024-04-13T21:17:46.252379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 4442
 
12.5%
시 4214
 
11.9%
군 2994
 
8.4%
1422
 
4.0%
산 983
 
2.8%
주 953
 
2.7%
양 949
 
2.7%
성 941
 
2.6%
천 896
 
2.5%
남 825
 
2.3%
Other values (134) 16911
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34108
96.0%
Space Separator 1422
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4442
 
13.0%
시 4214
 
12.4%
군 2994
 
8.8%
산 983
 
2.9%
주 953
 
2.8%
양 949
 
2.8%
성 941
 
2.8%
천 896
 
2.6%
남 825
 
2.4%
서 798
 
2.3%
Other values (133) 16113
47.2%
Space Separator
ValueCountFrequency (%)
1422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34108
96.0%
Common 1422
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4442
 
13.0%
시 4214
 
12.4%
군 2994
 
8.8%
산 983
 
2.9%
주 953
 
2.8%
양 949
 
2.8%
성 941
 
2.8%
천 896
 
2.6%
남 825
 
2.4%
서 798
 
2.3%
Other values (133) 16113
47.2%
Common
ValueCountFrequency (%)
1422
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34108
96.0%
ASCII 1422
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 4442
 
13.0%
시 4214
 
12.4%
군 2994
 
8.8%
산 983
 
2.9%
주 953
 
2.8%
양 949
 
2.8%
성 941
 
2.8%
천 896
 
2.6%
남 825
 
2.4%
서 798
 
2.3%
Other values (133) 16113
47.2%
ASCII
ValueCountFrequency (%)
1422
100.0%

전체수
Real number (ℝ)

Distinct814
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.4664
Minimum1
Maximum6979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:46.653237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q341
95-th percentile1355
Maximum6979
Range6978
Interquartile range (IQR)40

Descriptive statistics

Standard deviation764.55926
Coefficient of variation (CV)3.274815
Kurtosis34.441139
Mean233.4664
Median Absolute Deviation (MAD)3
Skewness5.3695137
Sum2334664
Variance584550.86
MonotonicityNot monotonic
2024-04-13T21:17:47.079974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3343
33.4%
2 777
 
7.8%
3 686
 
6.9%
4 336
 
3.4%
6 175
 
1.8%
5 168
 
1.7%
13 151
 
1.5%
7 141
 
1.4%
17 131
 
1.3%
8 131
 
1.3%
Other values (804) 3961
39.6%
ValueCountFrequency (%)
1 3343
33.4%
2 777
 
7.8%
3 686
 
6.9%
4 336
 
3.4%
5 168
 
1.7%
6 175
 
1.8%
7 141
 
1.4%
8 131
 
1.3%
9 93
 
0.9%
10 66
 
0.7%
ValueCountFrequency (%)
6979 2
< 0.1%
6971 3
< 0.1%
6969 2
< 0.1%
6965 1
 
< 0.1%
6964 1
 
< 0.1%
6957 2
< 0.1%
6954 2
< 0.1%
6948 3
< 0.1%
6946 1
 
< 0.1%
6944 1
 
< 0.1%

연령유형1수
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2781
Minimum0
Maximum501
Zeros5213
Zeros (%)52.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:47.496275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile49
Maximum501
Range501
Interquartile range (IQR)2

Descriptive statistics

Standard deviation36.178801
Coefficient of variation (CV)3.8993761
Kurtosis108.38482
Mean9.2781
Median Absolute Deviation (MAD)0
Skewness9.1090874
Sum92781
Variance1308.9057
MonotonicityNot monotonic
2024-04-13T21:17:48.056768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5213
52.1%
1 1770
 
17.7%
2 608
 
6.1%
3 503
 
5.0%
6 145
 
1.5%
4 136
 
1.4%
8 94
 
0.9%
13 94
 
0.9%
12 78
 
0.8%
23 59
 
0.6%
Other values (137) 1300
 
13.0%
ValueCountFrequency (%)
0 5213
52.1%
1 1770
 
17.7%
2 608
 
6.1%
3 503
 
5.0%
4 136
 
1.4%
5 53
 
0.5%
6 145
 
1.5%
7 24
 
0.2%
8 94
 
0.9%
9 5
 
0.1%
ValueCountFrequency (%)
501 1
 
< 0.1%
500 6
0.1%
498 1
 
< 0.1%
497 1
 
< 0.1%
496 4
< 0.1%
494 3
< 0.1%
493 1
 
< 0.1%
492 2
 
< 0.1%
491 1
 
< 0.1%
490 3
< 0.1%

연령유형2수
Real number (ℝ)

ZEROS 

Distinct241
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5053
Minimum0
Maximum1141
Zeros3934
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:48.453767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile115
Maximum1141
Range1141
Interquartile range (IQR)4

Descriptive statistics

Standard deviation86.127864
Coefficient of variation (CV)3.8270036
Kurtosis95.342844
Mean22.5053
Median Absolute Deviation (MAD)1
Skewness8.4948376
Sum225053
Variance7418.009
MonotonicityNot monotonic
2024-04-13T21:17:48.865612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3934
39.3%
1 2071
20.7%
2 792
 
7.9%
3 410
 
4.1%
4 331
 
3.3%
5 139
 
1.4%
7 133
 
1.3%
6 127
 
1.3%
8 103
 
1.0%
9 101
 
1.0%
Other values (231) 1859
18.6%
ValueCountFrequency (%)
0 3934
39.3%
1 2071
20.7%
2 792
 
7.9%
3 410
 
4.1%
4 331
 
3.3%
5 139
 
1.4%
6 127
 
1.3%
7 133
 
1.3%
8 103
 
1.0%
9 101
 
1.0%
ValueCountFrequency (%)
1141 4
< 0.1%
1136 3
< 0.1%
1135 2
 
< 0.1%
1134 3
< 0.1%
1133 4
< 0.1%
1132 6
0.1%
1131 1
 
< 0.1%
1130 5
0.1%
1129 2
 
< 0.1%
1126 2
 
< 0.1%

연령유형3수
Real number (ℝ)

ZEROS 

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.885
Minimum0
Maximum680
Zeros5033
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:49.260126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile109
Maximum680
Range680
Interquartile range (IQR)5

Descriptive statistics

Standard deviation63.227288
Coefficient of variation (CV)3.3480163
Kurtosis47.512843
Mean18.885
Median Absolute Deviation (MAD)0
Skewness6.0750838
Sum188850
Variance3997.6899
MonotonicityNot monotonic
2024-04-13T21:17:49.685447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5033
50.3%
1 1310
 
13.1%
2 517
 
5.2%
3 328
 
3.3%
4 254
 
2.5%
5 202
 
2.0%
6 158
 
1.6%
9 145
 
1.5%
11 116
 
1.2%
12 108
 
1.1%
Other values (197) 1829
 
18.3%
ValueCountFrequency (%)
0 5033
50.3%
1 1310
 
13.1%
2 517
 
5.2%
3 328
 
3.3%
4 254
 
2.5%
5 202
 
2.0%
6 158
 
1.6%
7 81
 
0.8%
8 62
 
0.6%
9 145
 
1.5%
ValueCountFrequency (%)
680 6
0.1%
679 5
0.1%
678 1
 
< 0.1%
677 6
0.1%
676 8
0.1%
675 2
 
< 0.1%
674 2
 
< 0.1%
673 3
 
< 0.1%
672 1
 
< 0.1%
399 1
 
< 0.1%

연령유형4수
Real number (ℝ)

ZEROS 

Distinct248
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.0655
Minimum0
Maximum687
Zeros4417
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:50.087817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile149
Maximum687
Range687
Interquartile range (IQR)6

Descriptive statistics

Standard deviation79.167757
Coefficient of variation (CV)3.1584352
Kurtosis30.721252
Mean25.0655
Median Absolute Deviation (MAD)1
Skewness5.118433
Sum250655
Variance6267.5338
MonotonicityNot monotonic
2024-04-13T21:17:50.513685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4417
44.2%
1 1560
 
15.6%
2 802
 
8.0%
4 283
 
2.8%
3 237
 
2.4%
5 168
 
1.7%
9 115
 
1.1%
13 107
 
1.1%
7 96
 
1.0%
10 89
 
0.9%
Other values (238) 2126
21.3%
ValueCountFrequency (%)
0 4417
44.2%
1 1560
 
15.6%
2 802
 
8.0%
3 237
 
2.4%
4 283
 
2.8%
5 168
 
1.7%
6 50
 
0.5%
7 96
 
1.0%
8 80
 
0.8%
9 115
 
1.1%
ValueCountFrequency (%)
687 1
 
< 0.1%
686 4
< 0.1%
685 2
 
< 0.1%
683 1
 
< 0.1%
682 3
< 0.1%
681 2
 
< 0.1%
679 5
0.1%
678 2
 
< 0.1%
677 2
 
< 0.1%
674 3
< 0.1%

연령유형5수
Real number (ℝ)

ZEROS 

Distinct337
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.8238
Minimum0
Maximum904
Zeros4152
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:50.924640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile221
Maximum904
Range904
Interquartile range (IQR)10

Descriptive statistics

Standard deviation116.59259
Coefficient of variation (CV)3.0825192
Kurtosis26.436584
Mean37.8238
Median Absolute Deviation (MAD)1
Skewness4.7995906
Sum378238
Variance13593.832
MonotonicityNot monotonic
2024-04-13T21:17:51.281188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4152
41.5%
1 1535
 
15.3%
2 441
 
4.4%
3 401
 
4.0%
4 274
 
2.7%
5 188
 
1.9%
6 188
 
1.9%
11 146
 
1.5%
10 145
 
1.5%
7 136
 
1.4%
Other values (327) 2394
23.9%
ValueCountFrequency (%)
0 4152
41.5%
1 1535
 
15.3%
2 441
 
4.4%
3 401
 
4.0%
4 274
 
2.7%
5 188
 
1.9%
6 188
 
1.9%
7 136
 
1.4%
8 110
 
1.1%
9 58
 
0.6%
ValueCountFrequency (%)
904 1
 
< 0.1%
902 4
< 0.1%
900 3
< 0.1%
899 1
 
< 0.1%
898 2
 
< 0.1%
897 5
0.1%
896 5
0.1%
895 3
< 0.1%
894 2
 
< 0.1%
891 2
 
< 0.1%

연령유형6수
Real number (ℝ)

ZEROS 

Distinct303
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.8392
Minimum0
Maximum1014
Zeros4782
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:51.681831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile250
Maximum1014
Range1014
Interquartile range (IQR)8

Descriptive statistics

Standard deviation122.83892
Coefficient of variation (CV)3.0833681
Kurtosis26.817166
Mean39.8392
Median Absolute Deviation (MAD)1
Skewness4.7960955
Sum398392
Variance15089.4
MonotonicityNot monotonic
2024-04-13T21:17:52.102912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4782
47.8%
1 1220
 
12.2%
2 583
 
5.8%
4 271
 
2.7%
3 171
 
1.7%
6 171
 
1.7%
5 170
 
1.7%
10 160
 
1.6%
7 112
 
1.1%
13 109
 
1.1%
Other values (293) 2251
22.5%
ValueCountFrequency (%)
0 4782
47.8%
1 1220
 
12.2%
2 583
 
5.8%
3 171
 
1.7%
4 271
 
2.7%
5 170
 
1.7%
6 171
 
1.7%
7 112
 
1.1%
8 94
 
0.9%
9 101
 
1.0%
ValueCountFrequency (%)
1014 2
< 0.1%
1013 1
 
< 0.1%
1011 2
< 0.1%
1009 4
< 0.1%
1008 1
 
< 0.1%
1006 2
< 0.1%
1001 2
< 0.1%
1000 1
 
< 0.1%
998 1
 
< 0.1%
997 1
 
< 0.1%

연령유형7수
Real number (ℝ)

ZEROS 

Distinct232
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.6798
Minimum0
Maximum876
Zeros5646
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:52.507418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile191
Maximum876
Range876
Interquartile range (IQR)3

Descriptive statistics

Standard deviation99.142065
Coefficient of variation (CV)3.2315095
Kurtosis29.075552
Mean30.6798
Median Absolute Deviation (MAD)0
Skewness4.9854696
Sum306798
Variance9829.149
MonotonicityNot monotonic
2024-04-13T21:17:52.910117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5646
56.5%
1 1003
 
10.0%
2 485
 
4.9%
3 432
 
4.3%
9 176
 
1.8%
4 172
 
1.7%
8 118
 
1.2%
5 106
 
1.1%
86 53
 
0.5%
85 50
 
0.5%
Other values (222) 1759
 
17.6%
ValueCountFrequency (%)
0 5646
56.5%
1 1003
 
10.0%
2 485
 
4.9%
3 432
 
4.3%
4 172
 
1.7%
5 106
 
1.1%
6 45
 
0.4%
7 35
 
0.4%
8 118
 
1.2%
9 176
 
1.8%
ValueCountFrequency (%)
876 3
< 0.1%
873 1
 
< 0.1%
870 1
 
< 0.1%
866 4
< 0.1%
865 2
< 0.1%
863 1
 
< 0.1%
859 1
 
< 0.1%
858 2
< 0.1%
856 3
< 0.1%
854 3
< 0.1%

연령유형8수
Real number (ℝ)

ZEROS 

Distinct314
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.3897
Minimum0
Maximum1782
Zeros4996
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:53.298181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile279
Maximum1782
Range1782
Interquartile range (IQR)4

Descriptive statistics

Standard deviation183.89287
Coefficient of variation (CV)3.7233041
Kurtosis39.708142
Mean49.3897
Median Absolute Deviation (MAD)1
Skewness5.8594933
Sum493897
Variance33816.588
MonotonicityNot monotonic
2024-04-13T21:17:53.721097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4996
50.0%
1 1545
 
15.4%
2 615
 
6.2%
3 294
 
2.9%
4 214
 
2.1%
9 146
 
1.5%
5 128
 
1.3%
6 94
 
0.9%
13 62
 
0.6%
12 57
 
0.6%
Other values (304) 1849
 
18.5%
ValueCountFrequency (%)
0 4996
50.0%
1 1545
 
15.4%
2 615
 
6.2%
3 294
 
2.9%
4 214
 
2.1%
5 128
 
1.3%
6 94
 
0.9%
7 21
 
0.2%
8 43
 
0.4%
9 146
 
1.5%
ValueCountFrequency (%)
1782 2
 
< 0.1%
1781 1
 
< 0.1%
1780 1
 
< 0.1%
1779 2
 
< 0.1%
1778 3
< 0.1%
1776 5
0.1%
1772 1
 
< 0.1%
1759 1
 
< 0.1%
1758 1
 
< 0.1%
1756 1
 
< 0.1%

기타유형1수
Real number (ℝ)

ZEROS 

Distinct742
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.6724
Minimum0
Maximum5524
Zeros233
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:54.116764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q339
95-th percentile1030.1
Maximum5524
Range5524
Interquartile range (IQR)38

Descriptive statistics

Standard deviation602.01875
Coefficient of variation (CV)3.2078172
Kurtosis33.002503
Mean187.6724
Median Absolute Deviation (MAD)3
Skewness5.2511698
Sum1876724
Variance362426.58
MonotonicityNot monotonic
2024-04-13T21:17:54.513184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3140
31.4%
2 821
 
8.2%
3 751
 
7.5%
4 283
 
2.8%
0 233
 
2.3%
5 198
 
2.0%
6 180
 
1.8%
12 170
 
1.7%
8 159
 
1.6%
11 152
 
1.5%
Other values (732) 3913
39.1%
ValueCountFrequency (%)
0 233
 
2.3%
1 3140
31.4%
2 821
 
8.2%
3 751
 
7.5%
4 283
 
2.8%
5 198
 
2.0%
6 180
 
1.8%
7 121
 
1.2%
8 159
 
1.6%
9 88
 
0.9%
ValueCountFrequency (%)
5524 1
 
< 0.1%
5515 2
< 0.1%
5513 4
< 0.1%
5509 2
< 0.1%
5508 4
< 0.1%
5506 4
< 0.1%
5504 3
< 0.1%
5503 1
 
< 0.1%
5502 3
< 0.1%
5501 1
 
< 0.1%

기타유형2수
Real number (ℝ)

ZEROS 

Distinct364
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5197
Minimum0
Maximum1859
Zeros5713
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:55.071100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile274
Maximum1859
Range1859
Interquartile range (IQR)4

Descriptive statistics

Standard deviation178.37833
Coefficient of variation (CV)3.9187061
Kurtosis49.736993
Mean45.5197
Median Absolute Deviation (MAD)0
Skewness6.4880008
Sum455197
Variance31818.827
MonotonicityNot monotonic
2024-04-13T21:17:55.496231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5713
57.1%
1 1062
 
10.6%
2 404
 
4.0%
3 301
 
3.0%
4 235
 
2.4%
5 227
 
2.3%
6 163
 
1.6%
7 100
 
1.0%
8 83
 
0.8%
9 61
 
0.6%
Other values (354) 1651
 
16.5%
ValueCountFrequency (%)
0 5713
57.1%
1 1062
 
10.6%
2 404
 
4.0%
3 301
 
3.0%
4 235
 
2.4%
5 227
 
2.3%
6 163
 
1.6%
7 100
 
1.0%
8 83
 
0.8%
9 61
 
0.6%
ValueCountFrequency (%)
1859 1
 
< 0.1%
1857 1
 
< 0.1%
1854 1
 
< 0.1%
1851 1
 
< 0.1%
1850 2
< 0.1%
1849 2
< 0.1%
1848 1
 
< 0.1%
1847 2
< 0.1%
1846 2
< 0.1%
1839 4
< 0.1%

기타유형3수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2709
Minimum0
Maximum12
Zeros9128
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-13T21:17:55.860022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1572584
Coefficient of variation (CV)4.2719027
Kurtosis38.633836
Mean0.2709
Median Absolute Deviation (MAD)0
Skewness5.7768035
Sum2709
Variance1.3392471
MonotonicityNot monotonic
2024-04-13T21:17:56.211984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9128
91.3%
1 311
 
3.1%
2 198
 
2.0%
6 77
 
0.8%
3 75
 
0.8%
4 72
 
0.7%
5 63
 
0.6%
8 42
 
0.4%
11 32
 
0.3%
12 2
 
< 0.1%
ValueCountFrequency (%)
0 9128
91.3%
1 311
 
3.1%
2 198
 
2.0%
3 75
 
0.8%
4 72
 
0.7%
5 63
 
0.6%
6 77
 
0.8%
8 42
 
0.4%
11 32
 
0.3%
12 2
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 32
 
0.3%
8 42
 
0.4%
6 77
 
0.8%
5 63
 
0.6%
4 72
 
0.7%
3 75
 
0.8%
2 198
 
2.0%
1 311
 
3.1%
0 9128
91.3%

기타유형4수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9966 
1
 
34

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 9966
99.7%
1 34
 
0.3%

Length

2024-04-13T21:17:56.581002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:17:56.882691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

최초생성시점
Date

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-08-11 00:00:00
2024-04-13T21:17:57.192114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:17:57.629353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종변경시점
Date

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-08-11 00:00:00
2024-04-13T21:17:58.032689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:17:58.470161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

시도코드법정동코드지청코드집계시점시도명법정동명전체수연령유형1수연령유형2수연령유형3수연령유형4수연령유형5수연령유형6수연령유형7수연령유형8수기타유형1수기타유형2수기타유형3수기타유형4수최초생성시점최종변경시점
2667329292000000011923592023/04/16광주광역시광산구41100200031002023/04/162023/04/16
839448483100000011923602023/02/09경상남도거제시2118822091802443793823203221540576202023/02/092023/02/09
137111111100000011923582023/01/09서울특별시종로구10100000010002023/01/092023/01/09
6478447478500000011923642023/06/25경상북도칠곡군51002101050002023/06/252023/06/25
2052641418200000011923582023/01/31경기도가평군580365131399580002023/01/312023/01/31
4978542421300000011923672023/05/26강원도원주시10001000001002023/05/262023/05/26
250747478200000011923642023/01/13경상북도청도군20000100120002023/01/132023/01/13
2137211116200000011923732023/03/09서울특별시관악구10000000110002023/03/092023/03/09
3891228282000000011923672023/03/27인천광역시남동구30000120030002023/03/272023/03/27
4175828282450000011923582023/04/30인천광역시계양구10000100010002023/04/302023/04/30
시도코드법정동코드지청코드집계시점시도명법정동명전체수연령유형1수연령유형2수연령유형3수연령유형4수연령유형5수연령유형6수연령유형7수연령유형8수기타유형1수기타유형2수기타유형3수기타유형4수최초생성시점최종변경시점
2507911117100000011923642023/02/15서울특별시송파구10000100010002023/02/152023/02/15
5425411116200000011923732023/06/03서울특별시관악구10000000110002023/06/032023/06/03
1568348483100000011923602023/02/19경상남도거제시2118822101802433793823213211541575202023/02/192023/02/19
4133447477700000011923642023/04/14경상북도영덕군50319483747801148573395108002023/04/142023/04/14
2871429291100000011923632023/04/27광주광역시동구30200000130002023/04/272023/04/27
1162727272900000011923642023/02/27대구광역시달서구10000001010002023/02/272023/02/27
5442231312000000011923662023/05/29울산광역시북구24142523283850393420536002023/05/292023/05/29
34348482200000011923672023/01/17경상남도통영시11000000010002023/01/172023/01/17
2505544441330000011923632023/02/15충청남도천안시 서북구11000000010002023/02/152023/02/15
3958843437200000011923672023/04/10충청북도보은군29014241323263002023/04/102023/04/10