Overview

Dataset statistics

Number of variables76
Number of observations260
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.0 KiB
Average record size in memory681.5 B

Variable types

Categorical34
Text1
Numeric41

Dataset

Description사증발급인정서 국적 및 체류자격별 발급 현황자료로 제공 항목은 국가별, 성별,체류자격별 (공무(A-2),단기일반(C-3-1),의료관광(C-3-3),일반상용(C-3-4) 등) 제공
Author법무부
URLhttps://www.data.go.kr/data/3074986/fileData.do

Alerts

국제기구(A2-02) is highly imbalanced (70.7%)Imbalance
일반상용(C3-04) is highly imbalanced (93.5%)Imbalance
단기상용(C3-06) is highly imbalanced (95.4%)Imbalance
단기취업(C4) is highly imbalanced (95.4%)Imbalance
어업단기(C4-03) is highly imbalanced (95.4%)Imbalance
전문학사(D2-01) is highly imbalanced (93.6%)Imbalance
박사유학(D2-04) is highly imbalanced (91.3%)Imbalance
연구유학(D2-05) is highly imbalanced (96.4%)Imbalance
방문학생(D2-08) is highly imbalanced (90.4%)Imbalance
초중고생(D4-03) is highly imbalanced (90.4%)Imbalance
사설기관연수(D4-06) is highly imbalanced (93.7%)Imbalance
외국어연수(D4-07) is highly imbalanced (94.5%)Imbalance
취재(D5) is highly imbalanced (82.2%)Imbalance
개인기업투자(D8-03) is highly imbalanced (93.5%)Imbalance
무역고유거래(D9-01) is highly imbalanced (86.3%)Imbalance
첨단기술인턴(D10-03) is highly imbalanced (90.9%)Imbalance
학교보조교사(E2-02) is highly imbalanced (90.9%)Imbalance
전문직업(E5) is highly imbalanced (93.6%)Imbalance
서비스업(E9-05) is highly imbalanced (93.7%)Imbalance
내항선원(E10-01) is highly imbalanced (95.4%)Imbalance
어 선 원(E10-02) is highly imbalanced (94.5%)Imbalance
순항선원(E10-03) is highly imbalanced (95.4%)Imbalance
외교동거(F1-03) is highly imbalanced (86.3%)Imbalance
결혼이민가족(F1-05) is highly imbalanced (92.0%)Imbalance
방문취업자녀(F1-11) is highly imbalanced (96.4%)Imbalance
고액가사보조(F1-22) is highly imbalanced (91.8%)Imbalance
전문가사보조(F1-24) is highly imbalanced (90.5%)Imbalance
점수우수인력(F2-07) is highly imbalanced (88.5%)Imbalance
기타장기(F2-99) is highly imbalanced (90.2%)Imbalance
동반(F3-03) is highly imbalanced (96.4%)Imbalance
연고방취(H2-01) is highly imbalanced (94.5%)Imbalance
만기방취(H2-07) is highly imbalanced (96.4%)Imbalance
단기일반(C3-01) has 241 (92.7%) zerosZeros
의료관광(C3-03) has 235 (90.4%) zerosZeros
농업단기(C4-01) has 251 (96.5%) zerosZeros
농업단기(C4-02) has 252 (96.9%) zerosZeros
어업단기(C4-04) has 251 (96.5%) zerosZeros
문화예술(D1) has 223 (85.8%) zerosZeros
학사유학(D2-02) has 247 (95.0%) zerosZeros
석사유학(D2-03) has 251 (96.5%) zerosZeros
교환학생(D2-06) has 229 (88.1%) zerosZeros
해외직접(D3-11) has 246 (94.6%) zerosZeros
대학부설어학원연수(D4-01) has 236 (90.8%) zerosZeros
기타기관연수(D4-02) has 131 (50.4%) zerosZeros
종교(D6) has 201 (77.3%) zerosZeros
외국기업(D7-01) has 206 (79.2%) zerosZeros
내국기업(D7-02) has 231 (88.8%) zerosZeros
법인에 투자(D8-01) has 171 (65.8%) zerosZeros
수출설비(D9-02) has 238 (91.5%) zerosZeros
선박설비(D9-03) has 207 (79.6%) zerosZeros
교수(E1) has 205 (78.8%) zerosZeros
일반회화강사(E2-01) has 226 (86.9%) zerosZeros
연구(E3) has 171 (65.8%) zerosZeros
기술지도(E4) has 233 (89.6%) zerosZeros
예술연예(E6-01) has 138 (53.1%) zerosZeros
호텔유흥(E6-02) has 235 (90.4%) zerosZeros
운 동(E6-03) has 204 (78.5%) zerosZeros
전문인력(E7-01) has 128 (49.2%) zerosZeros
준전문인력(E7-02) has 225 (86.5%) zerosZeros
일반기능인력(E7-03) has 244 (93.8%) zerosZeros
농업장기(E8-01) has 243 (93.5%) zerosZeros
농업장기(E8-02) has 240 (92.3%) zerosZeros
어업장기(E8-03) has 252 (96.9%) zerosZeros
어업장기(E8-04) has 251 (96.5%) zerosZeros
제 조 업(E9-01) has 229 (88.1%) zerosZeros
건 설 업(E9-02) has 255 (98.1%) zerosZeros
농 업(E9-03) has 249 (95.8%) zerosZeros
어 업(E9-04) has 253 (97.3%) zerosZeros
거주배우자등(F1-12) has 234 (90.0%) zerosZeros
우수인재 등의 부모(F1-15) has 218 (83.8%) zerosZeros
외교가사보조(F1-21) has 240 (92.3%) zerosZeros
점수가족(F2-71) has 236 (90.8%) zerosZeros
동반(F3-01) has 122 (46.9%) zerosZeros

Reproduction

Analysis started2024-03-14 08:38:10.179127
Analysis finished2024-03-14 08:38:11.088718
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대륙
Categorical

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
아시아주
81 
유럽주
77 
아프리카주
52 
남아메리카주
37 
오세아니아주
 
7
Other values (2)
 
6

Length

Max length6
Median length5
Mean length4.2576923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아시아주 81
31.2%
유럽주 77
29.6%
아프리카주 52
20.0%
남아메리카주 37
14.2%
오세아니아주 7
 
2.7%
북아메리카주 4
 
1.5%
기타 2
 
0.8%

Length

2024-03-14T17:38:11.315434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:11.677120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아시아주 81
31.2%
유럽주 77
29.6%
아프리카주 52
20.0%
남아메리카주 37
14.2%
오세아니아주 7
 
2.7%
북아메리카주 4
 
1.5%
기타 2
 
0.8%

국가
Text

Distinct149
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T17:38:12.801421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length3.8461538
Min length2

Characters and Unicode

Total characters1000
Distinct characters155
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)14.6%

Sample

1st row베트남
2nd row베트남
3rd row네팔
4th row네팔
5th row인도네시아
ValueCountFrequency (%)
베트남 2
 
0.8%
일본 2
 
0.8%
리투아니아 2
 
0.8%
스위스 2
 
0.8%
포르투갈 2
 
0.8%
헝가리 2
 
0.8%
체코 2
 
0.8%
핀란드 2
 
0.8%
크로아티아 2
 
0.8%
몰도바 2
 
0.8%
Other values (139) 240
92.3%
2024-03-14T17:38:14.340014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 77
 
7.7%
스 39
 
3.9%
리 35
 
3.5%
이 34
 
3.4%
르 33
 
3.3%
라 24
 
2.4%
니 24
 
2.4%
국 22
 
2.2%
카 18
 
1.8%
비 18
 
1.8%
Other values (145) 676
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 995
99.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 77
 
7.7%
스 39
 
3.9%
리 35
 
3.5%
이 34
 
3.4%
르 33
 
3.3%
라 24
 
2.4%
니 24
 
2.4%
국 22
 
2.2%
카 18
 
1.8%
비 18
 
1.8%
Other values (142) 671
67.4%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 995
99.5%
Common 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 77
 
7.7%
스 39
 
3.9%
리 35
 
3.5%
이 34
 
3.4%
르 33
 
3.3%
라 24
 
2.4%
니 24
 
2.4%
국 22
 
2.2%
카 18
 
1.8%
비 18
 
1.8%
Other values (142) 671
67.4%
Common
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
- 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 995
99.5%
ASCII 5
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 77
 
7.7%
스 39
 
3.9%
리 35
 
3.5%
이 34
 
3.4%
르 33
 
3.3%
라 24
 
2.4%
니 24
 
2.4%
국 22
 
2.2%
카 18
 
1.8%
비 18
 
1.8%
Other values (142) 671
67.4%
ASCII
ValueCountFrequency (%)
) 2
40.0%
( 2
40.0%
- 1
20.0%

성별
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
남성
133 
여성
127 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남성
2nd row여성
3rd row남성
4th row여성
5th row남성

Common Values

ValueCountFrequency (%)
남성 133
51.2%
여성 127
48.8%

Length

2024-03-14T17:38:14.560239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:14.721559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남성 133
51.2%
여성 127
48.8%

국제기구(A2-02)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
232 
1
 
14
2
 
7
3
 
4
6
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row6
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 232
89.2%
1 14
 
5.4%
2 7
 
2.7%
3 4
 
1.5%
6 3
 
1.2%

Length

2024-03-14T17:38:14.895305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:15.072290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 232
89.2%
1 14
 
5.4%
2 7
 
2.7%
3 4
 
1.5%
6 3
 
1.2%

단기일반(C3-01)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75384615
Minimum0
Maximum80
Zeros241
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:15.262457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.5583941
Coefficient of variation (CV)8.6999106
Kurtosis124.90539
Mean0.75384615
Median Absolute Deviation (MAD)0
Skewness11.079632
Sum196
Variance43.012533
MonotonicityNot monotonic
2024-03-14T17:38:15.640528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 241
92.7%
2 7
 
2.7%
1 6
 
2.3%
11 1
 
0.4%
6 1
 
0.4%
68 1
 
0.4%
80 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
ValueCountFrequency (%)
0 241
92.7%
1 6
 
2.3%
2 7
 
2.7%
3 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
11 1
 
0.4%
68 1
 
0.4%
80 1
 
0.4%
ValueCountFrequency (%)
80 1
 
0.4%
68 1
 
0.4%
11 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
3 1
 
0.4%
2 7
 
2.7%
1 6
 
2.3%
0 241
92.7%

의료관광(C3-03)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0115385
Minimum0
Maximum143
Zeros235
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:15.994127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.702713
Coefficient of variation (CV)6.8120562
Kurtosis80.764368
Mean2.0115385
Median Absolute Deviation (MAD)0
Skewness8.7491719
Sum523
Variance187.76435
MonotonicityNot monotonic
2024-03-14T17:38:16.364246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 235
90.4%
1 8
 
3.1%
2 6
 
2.3%
5 2
 
0.8%
3 1
 
0.4%
30 1
 
0.4%
21 1
 
0.4%
88 1
 
0.4%
133 1
 
0.4%
42 1
 
0.4%
Other values (3) 3
 
1.2%
ValueCountFrequency (%)
0 235
90.4%
1 8
 
3.1%
2 6
 
2.3%
3 1
 
0.4%
5 2
 
0.8%
11 1
 
0.4%
21 1
 
0.4%
22 1
 
0.4%
30 1
 
0.4%
42 1
 
0.4%
ValueCountFrequency (%)
143 1
0.4%
133 1
0.4%
88 1
0.4%
42 1
0.4%
30 1
0.4%
22 1
0.4%
21 1
0.4%
11 1
0.4%
5 2
0.8%
3 1
0.4%

일반상용(C3-04)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
3
 
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 (%)
0 258
99.2%
3 2
 
0.8%

Length

2024-03-14T17:38:16.765792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:17.069082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
3 2
 
0.8%

단기상용(C3-06)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
4
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 258
99.2%
4 1
 
0.4%
1 1
 
0.4%

Length

2024-03-14T17:38:17.387596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:17.709677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
4 1
 
0.4%
1 1
 
0.4%

단기취업(C4)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
3
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 258
99.2%
3 1
 
0.4%
1 1
 
0.4%

Length

2024-03-14T17:38:18.040503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:18.346061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
3 1
 
0.4%
1 1
 
0.4%

농업단기(C4-01)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6730769
Minimum0
Maximum474
Zeros251
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:18.635067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum474
Range474
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.485013
Coefficient of variation (CV)7.5935007
Kurtosis123.38568
Mean4.6730769
Median Absolute Deviation (MAD)0
Skewness10.282733
Sum1215
Variance1259.1861
MonotonicityNot monotonic
2024-03-14T17:38:18.975282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 251
96.5%
165 1
 
0.4%
126 1
 
0.4%
2 1
 
0.4%
474 1
 
0.4%
174 1
 
0.4%
142 1
 
0.4%
116 1
 
0.4%
9 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
0 251
96.5%
2 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
116 1
 
0.4%
126 1
 
0.4%
142 1
 
0.4%
165 1
 
0.4%
174 1
 
0.4%
474 1
 
0.4%
ValueCountFrequency (%)
474 1
 
0.4%
174 1
 
0.4%
165 1
 
0.4%
142 1
 
0.4%
126 1
 
0.4%
116 1
 
0.4%
9 1
 
0.4%
7 1
 
0.4%
2 1
 
0.4%
0 251
96.5%

농업단기(C4-02)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8653846
Minimum0
Maximum280
Zeros252
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:19.283843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum280
Range280
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.046204
Coefficient of variation (CV)10.210336
Kurtosis182.9388
Mean1.8653846
Median Absolute Deviation (MAD)0
Skewness13.107806
Sum485
Variance362.75787
MonotonicityNot monotonic
2024-03-14T17:38:19.603133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 252
96.9%
280 1
 
0.4%
122 1
 
0.4%
11 1
 
0.4%
16 1
 
0.4%
8 1
 
0.4%
29 1
 
0.4%
17 1
 
0.4%
2 1
 
0.4%
ValueCountFrequency (%)
0 252
96.9%
2 1
 
0.4%
8 1
 
0.4%
11 1
 
0.4%
16 1
 
0.4%
17 1
 
0.4%
29 1
 
0.4%
122 1
 
0.4%
280 1
 
0.4%
ValueCountFrequency (%)
280 1
 
0.4%
122 1
 
0.4%
29 1
 
0.4%
17 1
 
0.4%
16 1
 
0.4%
11 1
 
0.4%
8 1
 
0.4%
2 1
 
0.4%
0 252
96.9%

어업단기(C4-03)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
22
 
1
23
 
1

Length

Max length2
Median length1
Mean length1.0076923
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 258
99.2%
22 1
 
0.4%
23 1
 
0.4%

Length

2024-03-14T17:38:19.915116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:20.183419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
22 1
 
0.4%
23 1
 
0.4%

어업단기(C4-04)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38076923
Minimum0
Maximum46
Zeros251
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:20.465209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5080183
Coefficient of variation (CV)9.2129774
Kurtosis136.08886
Mean0.38076923
Median Absolute Deviation (MAD)0
Skewness11.432221
Sum99
Variance12.306192
MonotonicityNot monotonic
2024-03-14T17:38:20.798869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 251
96.5%
5 3
 
1.2%
2 2
 
0.8%
1 2
 
0.8%
46 1
 
0.4%
32 1
 
0.4%
ValueCountFrequency (%)
0 251
96.5%
1 2
 
0.8%
2 2
 
0.8%
5 3
 
1.2%
32 1
 
0.4%
46 1
 
0.4%
ValueCountFrequency (%)
46 1
 
0.4%
32 1
 
0.4%
5 3
 
1.2%
2 2
 
0.8%
1 2
 
0.8%
0 251
96.5%

문화예술(D1)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23076923
Minimum0
Maximum8
Zeros223
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:21.122469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77647318
Coefficient of variation (CV)3.3647171
Kurtosis50.314224
Mean0.23076923
Median Absolute Deviation (MAD)0
Skewness6.1562436
Sum60
Variance0.6029106
MonotonicityNot monotonic
2024-03-14T17:38:21.496135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 223
85.8%
1 25
 
9.6%
2 9
 
3.5%
6 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
ValueCountFrequency (%)
0 223
85.8%
1 25
 
9.6%
2 9
 
3.5%
3 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
ValueCountFrequency (%)
8 1
 
0.4%
6 1
 
0.4%
3 1
 
0.4%
2 9
 
3.5%
1 25
 
9.6%
0 223
85.8%

전문학사(D2-01)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
1
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row1
2nd row3
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 257
98.8%
1 2
 
0.8%
3 1
 
0.4%

Length

2024-03-14T17:38:21.893215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:22.203339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
1 2
 
0.8%
3 1
 
0.4%

학사유학(D2-02)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50384615
Minimum0
Maximum57
Zeros247
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:22.481440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.05
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2467322
Coefficient of variation (CV)8.4286287
Kurtosis135.43108
Mean0.50384615
Median Absolute Deviation (MAD)0
Skewness11.184855
Sum131
Variance18.034734
MonotonicityNot monotonic
2024-03-14T17:38:22.822250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 247
95.0%
1 5
 
1.9%
4 2
 
0.8%
18 1
 
0.4%
3 1
 
0.4%
2 1
 
0.4%
33 1
 
0.4%
57 1
 
0.4%
5 1
 
0.4%
ValueCountFrequency (%)
0 247
95.0%
1 5
 
1.9%
2 1
 
0.4%
3 1
 
0.4%
4 2
 
0.8%
5 1
 
0.4%
18 1
 
0.4%
33 1
 
0.4%
57 1
 
0.4%
ValueCountFrequency (%)
57 1
 
0.4%
33 1
 
0.4%
18 1
 
0.4%
5 1
 
0.4%
4 2
 
0.8%
3 1
 
0.4%
2 1
 
0.4%
1 5
 
1.9%
0 247
95.0%

석사유학(D2-03)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11153846
Minimum0
Maximum9
Zeros251
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:23.157365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.78540102
Coefficient of variation (CV)7.0415264
Kurtosis88.42138
Mean0.11153846
Median Absolute Deviation (MAD)0
Skewness9.0043952
Sum29
Variance0.61685477
MonotonicityNot monotonic
2024-03-14T17:38:23.487049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 251
96.5%
1 4
 
1.5%
3 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
4 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
0 251
96.5%
1 4
 
1.5%
2 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
9 1
 
0.4%
7 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
2 1
 
0.4%
1 4
 
1.5%
0 251
96.5%

박사유학(D2-04)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
254 
1
 
2
2
 
2
34
 
1
62
 
1

Length

Max length2
Median length1
Mean length1.0076923
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 254
97.7%
1 2
 
0.8%
2 2
 
0.8%
34 1
 
0.4%
62 1
 
0.4%

Length

2024-03-14T17:38:23.877004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:24.200006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 254
97.7%
1 2
 
0.8%
2 2
 
0.8%
34 1
 
0.4%
62 1
 
0.4%

연구유학(D2-05)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
259 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 259
99.6%
1 1
 
0.4%

Length

2024-03-14T17:38:24.551718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:24.847539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 259
99.6%
1 1
 
0.4%

교환학생(D2-06)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73461538
Minimum0
Maximum29
Zeros229
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:25.131929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.05
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2517821
Coefficient of variation (CV)4.4265096
Kurtosis40.988655
Mean0.73461538
Median Absolute Deviation (MAD)0
Skewness6.0513286
Sum191
Variance10.574087
MonotonicityNot monotonic
2024-03-14T17:38:25.496093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 229
88.1%
1 11
 
4.2%
2 5
 
1.9%
4 3
 
1.2%
14 2
 
0.8%
16 2
 
0.8%
3 2
 
0.8%
26 1
 
0.4%
29 1
 
0.4%
10 1
 
0.4%
Other values (3) 3
 
1.2%
ValueCountFrequency (%)
0 229
88.1%
1 11
 
4.2%
2 5
 
1.9%
3 2
 
0.8%
4 3
 
1.2%
6 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
12 1
 
0.4%
14 2
 
0.8%
ValueCountFrequency (%)
29 1
 
0.4%
26 1
 
0.4%
16 2
0.8%
14 2
0.8%
12 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
6 1
 
0.4%
4 3
1.2%
3 2
0.8%

방문학생(D2-08)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
253 
2
 
4
5
 
1
11
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.0038462
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 253
97.3%
2 4
 
1.5%
5 1
 
0.4%
11 1
 
0.4%
1 1
 
0.4%

Length

2024-03-14T17:38:25.895542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:26.405746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 253
97.3%
2 4
 
1.5%
5 1
 
0.4%
11 1
 
0.4%
1 1
 
0.4%

해외직접(D3-11)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9576923
Minimum0
Maximum209
Zeros246
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:26.714208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.608449
Coefficient of variation (CV)7.9728817
Kurtosis131.74668
Mean1.9576923
Median Absolute Deviation (MAD)0
Skewness10.933717
Sum509
Variance243.62369
MonotonicityNot monotonic
2024-03-14T17:38:27.049201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 246
94.6%
2 4
 
1.5%
27 2
 
0.8%
8 2
 
0.8%
209 1
 
0.4%
71 1
 
0.4%
11 1
 
0.4%
115 1
 
0.4%
20 1
 
0.4%
5 1
 
0.4%
ValueCountFrequency (%)
0 246
94.6%
2 4
 
1.5%
5 1
 
0.4%
8 2
 
0.8%
11 1
 
0.4%
20 1
 
0.4%
27 2
 
0.8%
71 1
 
0.4%
115 1
 
0.4%
209 1
 
0.4%
ValueCountFrequency (%)
209 1
 
0.4%
115 1
 
0.4%
71 1
 
0.4%
27 2
 
0.8%
20 1
 
0.4%
11 1
 
0.4%
8 2
 
0.8%
5 1
 
0.4%
2 4
 
1.5%
0 246
94.6%

대학부설어학원연수(D4-01)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.511538
Minimum0
Maximum4097
Zeros236
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:27.357569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4097
Range4097
Interquartile range (IQR)0

Descriptive statistics

Standard deviation353.22175
Coefficient of variation (CV)8.7190405
Kurtosis111.05378
Mean40.511538
Median Absolute Deviation (MAD)0
Skewness10.360557
Sum10533
Variance124765.6
MonotonicityNot monotonic
2024-03-14T17:38:27.542437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 236
90.8%
1 10
 
3.8%
2 3
 
1.2%
3684 1
 
0.4%
4097 1
 
0.4%
19 1
 
0.4%
4 1
 
0.4%
338 1
 
0.4%
38 1
 
0.4%
855 1
 
0.4%
Other values (4) 4
 
1.5%
ValueCountFrequency (%)
0 236
90.8%
1 10
 
3.8%
2 3
 
1.2%
4 1
 
0.4%
19 1
 
0.4%
28 1
 
0.4%
38 1
 
0.4%
106 1
 
0.4%
119 1
 
0.4%
338 1
 
0.4%
ValueCountFrequency (%)
4097 1
0.4%
3684 1
0.4%
1229 1
0.4%
855 1
0.4%
338 1
0.4%
119 1
0.4%
106 1
0.4%
38 1
0.4%
28 1
0.4%
19 1
0.4%

기타기관연수(D4-02)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.35
Minimum0
Maximum98
Zeros131
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:27.809833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16.15
Maximum98
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.990565
Coefficient of variation (CV)2.9822582
Kurtosis48.907523
Mean3.35
Median Absolute Deviation (MAD)0
Skewness6.3083905
Sum871
Variance99.81139
MonotonicityNot monotonic
2024-03-14T17:38:28.206761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 131
50.4%
1 46
 
17.7%
2 26
 
10.0%
4 10
 
3.8%
3 8
 
3.1%
5 5
 
1.9%
9 5
 
1.9%
6 4
 
1.5%
8 4
 
1.5%
7 3
 
1.2%
Other values (15) 18
 
6.9%
ValueCountFrequency (%)
0 131
50.4%
1 46
 
17.7%
2 26
 
10.0%
3 8
 
3.1%
4 10
 
3.8%
5 5
 
1.9%
6 4
 
1.5%
7 3
 
1.2%
8 4
 
1.5%
9 5
 
1.9%
ValueCountFrequency (%)
98 1
0.4%
84 1
0.4%
48 1
0.4%
37 1
0.4%
36 1
0.4%
33 1
0.4%
28 1
0.4%
26 1
0.4%
23 2
0.8%
20 1
0.4%

초중고생(D4-03)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
253 
1
 
4
7
 
1
12
 
1
51
 
1

Length

Max length2
Median length1
Mean length1.0076923
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 253
97.3%
1 4
 
1.5%
7 1
 
0.4%
12 1
 
0.4%
51 1
 
0.4%

Length

2024-03-14T17:38:28.508448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:28.700488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 253
97.3%
1 4
 
1.5%
7 1
 
0.4%
12 1
 
0.4%
51 1
 
0.4%

사설기관연수(D4-06)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
256 
79
 
1
35
 
1
3
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.0076923
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row79
2nd row35
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 256
98.5%
79 1
 
0.4%
35 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%

Length

2024-03-14T17:38:28.899490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:29.105371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
98.5%
79 1
 
0.4%
35 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%

외국어연수(D4-07)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
1
 
1
15
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.0038462
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 257
98.8%
1 1
 
0.4%
15 1
 
0.4%
2 1
 
0.4%

Length

2024-03-14T17:38:29.303541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:29.480432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
1 1
 
0.4%
15 1
 
0.4%
2 1
 
0.4%

취재(D5)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
245 
1
 
8
2
 
4
6
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 245
94.2%
1 8
 
3.1%
2 4
 
1.5%
6 2
 
0.8%
3 1
 
0.4%

Length

2024-03-14T17:38:29.749520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:29.925134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 245
94.2%
1 8
 
3.1%
2 4
 
1.5%
6 2
 
0.8%
3 1
 
0.4%

종교(D6)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6230769
Minimum0
Maximum62
Zeros201
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:30.096061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.05
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.7569674
Coefficient of variation (CV)4.1630605
Kurtosis44.11944
Mean1.6230769
Median Absolute Deviation (MAD)0
Skewness6.3541286
Sum422
Variance45.656608
MonotonicityNot monotonic
2024-03-14T17:38:30.292912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 201
77.3%
1 24
 
9.2%
4 8
 
3.1%
3 7
 
2.7%
2 5
 
1.9%
5 2
 
0.8%
19 1
 
0.4%
62 1
 
0.4%
49 1
 
0.4%
6 1
 
0.4%
Other values (9) 9
 
3.5%
ValueCountFrequency (%)
0 201
77.3%
1 24
 
9.2%
2 5
 
1.9%
3 7
 
2.7%
4 8
 
3.1%
5 2
 
0.8%
6 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
62 1
0.4%
49 1
0.4%
43 1
0.4%
42 1
0.4%
28 1
0.4%
26 1
0.4%
19 1
0.4%
12 1
0.4%
11 1
0.4%
10 1
0.4%

외국기업(D7-01)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3769231
Minimum0
Maximum67
Zeros206
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:30.483989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.5509767
Coefficient of variation (CV)4.7576926
Kurtosis64.612628
Mean1.3769231
Median Absolute Deviation (MAD)0
Skewness7.6913451
Sum358
Variance42.915296
MonotonicityNot monotonic
2024-03-14T17:38:30.687941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 206
79.2%
1 20
 
7.7%
2 15
 
5.8%
5 6
 
2.3%
8 2
 
0.8%
67 1
 
0.4%
6 1
 
0.4%
4 1
 
0.4%
15 1
 
0.4%
13 1
 
0.4%
Other values (6) 6
 
2.3%
ValueCountFrequency (%)
0 206
79.2%
1 20
 
7.7%
2 15
 
5.8%
3 1
 
0.4%
4 1
 
0.4%
5 6
 
2.3%
6 1
 
0.4%
8 2
 
0.8%
11 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
67 1
0.4%
55 1
0.4%
46 1
0.4%
30 1
0.4%
15 1
0.4%
13 1
0.4%
12 1
0.4%
11 1
0.4%
8 2
0.8%
6 1
0.4%

내국기업(D7-02)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75
Minimum0
Maximum68
Zeros231
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:30.975219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.0704496
Coefficient of variation (CV)6.7605995
Kurtosis128.31314
Mean0.75
Median Absolute Deviation (MAD)0
Skewness10.66363
Sum195
Variance25.709459
MonotonicityNot monotonic
2024-03-14T17:38:31.165039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 231
88.8%
1 10
 
3.8%
2 9
 
3.5%
3 4
 
1.5%
25 1
 
0.4%
6 1
 
0.4%
33 1
 
0.4%
5 1
 
0.4%
68 1
 
0.4%
18 1
 
0.4%
ValueCountFrequency (%)
0 231
88.8%
1 10
 
3.8%
2 9
 
3.5%
3 4
 
1.5%
5 1
 
0.4%
6 1
 
0.4%
18 1
 
0.4%
25 1
 
0.4%
33 1
 
0.4%
68 1
 
0.4%
ValueCountFrequency (%)
68 1
 
0.4%
33 1
 
0.4%
25 1
 
0.4%
18 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
3 4
 
1.5%
2 9
 
3.5%
1 10
 
3.8%
0 231
88.8%

법인에 투자(D8-01)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8961538
Minimum0
Maximum307
Zeros171
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:31.368226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum307
Range307
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.677186
Coefficient of variation (CV)5.5637396
Kurtosis153.17471
Mean3.8961538
Median Absolute Deviation (MAD)0
Skewness11.615569
Sum1013
Variance469.90037
MonotonicityNot monotonic
2024-03-14T17:38:31.573331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 171
65.8%
1 30
 
11.5%
2 12
 
4.6%
5 7
 
2.7%
4 6
 
2.3%
3 6
 
2.3%
7 4
 
1.5%
13 3
 
1.2%
11 2
 
0.8%
10 2
 
0.8%
Other values (14) 17
 
6.5%
ValueCountFrequency (%)
0 171
65.8%
1 30
 
11.5%
2 12
 
4.6%
3 6
 
2.3%
4 6
 
2.3%
5 7
 
2.7%
6 2
 
0.8%
7 4
 
1.5%
8 2
 
0.8%
9 2
 
0.8%
ValueCountFrequency (%)
307 1
0.4%
130 1
0.4%
78 1
0.4%
44 1
0.4%
39 1
0.4%
34 1
0.4%
25 1
0.4%
23 1
0.4%
17 1
0.4%
16 1
0.4%

개인기업투자(D8-03)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
1
 
2

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 (%)
0 258
99.2%
1 2
 
0.8%

Length

2024-03-14T17:38:31.786757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:31.959699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
1 2
 
0.8%

무역고유거래(D9-01)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
255 
1
 
5

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 (%)
0 255
98.1%
1 5
 
1.9%

Length

2024-03-14T17:38:32.247898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:32.411089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 255
98.1%
1 5
 
1.9%

수출설비(D9-02)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93076923
Minimum0
Maximum158
Zeros238
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:32.556354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum158
Range158
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.8828571
Coefficient of variation (CV)10.617946
Kurtosis249.08945
Mean0.93076923
Median Absolute Deviation (MAD)0
Skewness15.632042
Sum242
Variance97.670864
MonotonicityNot monotonic
2024-03-14T17:38:32.770101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 238
91.5%
1 9
 
3.5%
4 3
 
1.2%
7 3
 
1.2%
158 1
 
0.4%
9 1
 
0.4%
12 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
8 1
 
0.4%
ValueCountFrequency (%)
0 238
91.5%
1 9
 
3.5%
2 1
 
0.4%
4 3
 
1.2%
5 1
 
0.4%
6 1
 
0.4%
7 3
 
1.2%
8 1
 
0.4%
9 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
158 1
 
0.4%
12 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
7 3
 
1.2%
6 1
 
0.4%
5 1
 
0.4%
4 3
 
1.2%
2 1
 
0.4%
1 9
3.5%

선박설비(D9-03)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5807692
Minimum0
Maximum50
Zeros207
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:32.978651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1258689
Coefficient of variation (CV)3.8752455
Kurtosis35.315982
Mean1.5807692
Median Absolute Deviation (MAD)0
Skewness5.6663054
Sum411
Variance37.52627
MonotonicityNot monotonic
2024-03-14T17:38:33.181834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 207
79.6%
1 21
 
8.1%
3 6
 
2.3%
4 5
 
1.9%
5 4
 
1.5%
37 2
 
0.8%
2 2
 
0.8%
7 2
 
0.8%
50 1
 
0.4%
15 1
 
0.4%
Other values (9) 9
 
3.5%
ValueCountFrequency (%)
0 207
79.6%
1 21
 
8.1%
2 2
 
0.8%
3 6
 
2.3%
4 5
 
1.9%
5 4
 
1.5%
6 1
 
0.4%
7 2
 
0.8%
11 1
 
0.4%
13 1
 
0.4%
ValueCountFrequency (%)
50 1
0.4%
47 1
0.4%
37 2
0.8%
25 1
0.4%
24 1
0.4%
18 1
0.4%
17 1
0.4%
15 1
0.4%
14 1
0.4%
13 1
0.4%

첨단기술인턴(D10-03)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
1
 
3

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 (%)
0 257
98.8%
1 3
 
1.2%

Length

2024-03-14T17:38:33.476725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:33.653624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
1 3
 
1.2%

교수(E1)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83846154
Minimum0
Maximum37
Zeros205
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:33.801354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5895684
Coefficient of variation (CV)4.2811367
Kurtosis76.10946
Mean0.83846154
Median Absolute Deviation (MAD)0
Skewness8.1924989
Sum218
Variance12.885001
MonotonicityNot monotonic
2024-03-14T17:38:33.993372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 205
78.8%
1 23
 
8.8%
2 14
 
5.4%
3 7
 
2.7%
9 3
 
1.2%
4 2
 
0.8%
17 1
 
0.4%
37 1
 
0.4%
8 1
 
0.4%
36 1
 
0.4%
Other values (2) 2
 
0.8%
ValueCountFrequency (%)
0 205
78.8%
1 23
 
8.8%
2 14
 
5.4%
3 7
 
2.7%
4 2
 
0.8%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
9 3
 
1.2%
17 1
 
0.4%
ValueCountFrequency (%)
37 1
 
0.4%
36 1
 
0.4%
17 1
 
0.4%
9 3
 
1.2%
8 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%
4 2
 
0.8%
3 7
2.7%
2 14
5.4%

일반회화강사(E2-01)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.357692
Minimum0
Maximum1218
Zeros226
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:34.203613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26.1
Maximum1218
Range1218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.08449
Coefficient of variation (CV)6.647124
Kurtosis92.451684
Mean15.357692
Median Absolute Deviation (MAD)0
Skewness9.1057912
Sum3993
Variance10421.242
MonotonicityNot monotonic
2024-03-14T17:38:34.418696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 226
86.9%
1 12
 
4.6%
4 2
 
0.8%
42 2
 
0.8%
7 1
 
0.4%
829 1
 
0.4%
252 1
 
0.4%
28 1
 
0.4%
9 1
 
0.4%
29 1
 
0.4%
Other values (12) 12
 
4.6%
ValueCountFrequency (%)
0 226
86.9%
1 12
 
4.6%
2 1
 
0.4%
3 1
 
0.4%
4 2
 
0.8%
5 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
23 1
 
0.4%
26 1
 
0.4%
ValueCountFrequency (%)
1218 1
0.4%
829 1
0.4%
537 1
0.4%
338 1
0.4%
292 1
0.4%
252 1
0.4%
136 1
0.4%
102 1
0.4%
53 1
0.4%
42 2
0.8%

학교보조교사(E2-02)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
1
 
3

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 (%)
0 257
98.8%
1 3
 
1.2%

Length

2024-03-14T17:38:34.718817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:34.879651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
1 3
 
1.2%

연구(E3)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1307692
Minimum0
Maximum506
Zeros171
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:35.046159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9.05
Maximum506
Range506
Interquartile range (IQR)1

Descriptive statistics

Standard deviation32.519288
Coefficient of variation (CV)7.8724532
Kurtosis221.41594
Mean4.1307692
Median Absolute Deviation (MAD)0
Skewness14.435935
Sum1074
Variance1057.5041
MonotonicityNot monotonic
2024-03-14T17:38:35.255024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 171
65.8%
1 39
 
15.0%
2 19
 
7.3%
3 6
 
2.3%
6 3
 
1.2%
4 3
 
1.2%
11 2
 
0.8%
5 2
 
0.8%
7 2
 
0.8%
32 1
 
0.4%
Other values (12) 12
 
4.6%
ValueCountFrequency (%)
0 171
65.8%
1 39
 
15.0%
2 19
 
7.3%
3 6
 
2.3%
4 3
 
1.2%
5 2
 
0.8%
6 3
 
1.2%
7 2
 
0.8%
8 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
506 1
0.4%
80 1
0.4%
77 1
0.4%
68 1
0.4%
47 1
0.4%
32 1
0.4%
22 1
0.4%
18 1
0.4%
14 1
0.4%
12 1
0.4%

기술지도(E4)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21538462
Minimum0
Maximum12
Zeros233
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:35.440973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9339964
Coefficient of variation (CV)4.3364119
Kurtosis99.82585
Mean0.21538462
Median Absolute Deviation (MAD)0
Skewness8.6981373
Sum56
Variance0.87234927
MonotonicityNot monotonic
2024-03-14T17:38:35.644398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 233
89.6%
1 14
 
5.4%
2 7
 
2.7%
3 4
 
1.5%
4 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
0 233
89.6%
1 14
 
5.4%
2 7
 
2.7%
3 4
 
1.5%
4 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
12 1
 
0.4%
4 1
 
0.4%
3 4
 
1.5%
2 7
 
2.7%
1 14
 
5.4%
0 233
89.6%

전문직업(E5)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
1
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 257
98.8%
1 2
 
0.8%
3 1
 
0.4%

Length

2024-03-14T17:38:35.925920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:36.091216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
1 2
 
0.8%
3 1
 
0.4%

예술연예(E6-01)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8076923
Minimum0
Maximum121
Zeros138
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:36.272283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile27
Maximum121
Range121
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.556173
Coefficient of variation (CV)2.819684
Kurtosis31.104462
Mean4.8076923
Median Absolute Deviation (MAD)0
Skewness5.0645885
Sum1250
Variance183.76982
MonotonicityNot monotonic
2024-03-14T17:38:36.675538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 138
53.1%
1 31
 
11.9%
2 22
 
8.5%
3 12
 
4.6%
4 10
 
3.8%
6 4
 
1.5%
5 4
 
1.5%
7 3
 
1.2%
15 3
 
1.2%
32 3
 
1.2%
Other values (21) 30
 
11.5%
ValueCountFrequency (%)
0 138
53.1%
1 31
 
11.9%
2 22
 
8.5%
3 12
 
4.6%
4 10
 
3.8%
5 4
 
1.5%
6 4
 
1.5%
7 3
 
1.2%
8 3
 
1.2%
9 3
 
1.2%
ValueCountFrequency (%)
121 1
 
0.4%
83 1
 
0.4%
80 1
 
0.4%
73 1
 
0.4%
56 1
 
0.4%
50 1
 
0.4%
45 1
 
0.4%
40 1
 
0.4%
34 1
 
0.4%
32 3
1.2%

호텔유흥(E6-02)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0807692
Minimum0
Maximum491
Zeros235
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:36.934869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum491
Range491
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.946666
Coefficient of variation (CV)10.04511
Kurtosis241.18347
Mean3.0807692
Median Absolute Deviation (MAD)0
Skewness15.28512
Sum801
Variance957.69615
MonotonicityNot monotonic
2024-03-14T17:38:37.176186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 235
90.4%
1 5
 
1.9%
2 3
 
1.2%
5 2
 
0.8%
4 2
 
0.8%
8 1
 
0.4%
41 1
 
0.4%
43 1
 
0.4%
17 1
 
0.4%
10 1
 
0.4%
Other values (8) 8
 
3.1%
ValueCountFrequency (%)
0 235
90.4%
1 5
 
1.9%
2 3
 
1.2%
3 1
 
0.4%
4 2
 
0.8%
5 2
 
0.8%
7 1
 
0.4%
8 1
 
0.4%
10 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
491 1
0.4%
45 1
0.4%
43 1
0.4%
42 1
0.4%
41 1
0.4%
27 1
0.4%
24 1
0.4%
17 1
0.4%
14 1
0.4%
10 1
0.4%

운 동(E6-03)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7
Minimum0
Maximum40
Zeros204
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:37.364508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0922746
Coefficient of variation (CV)4.4175351
Kurtosis108.93991
Mean0.7
Median Absolute Deviation (MAD)0
Skewness9.544411
Sum182
Variance9.5621622
MonotonicityNot monotonic
2024-03-14T17:38:37.566115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 204
78.5%
1 30
 
11.5%
2 11
 
4.2%
4 5
 
1.9%
3 4
 
1.5%
12 2
 
0.8%
7 1
 
0.4%
40 1
 
0.4%
21 1
 
0.4%
6 1
 
0.4%
ValueCountFrequency (%)
0 204
78.5%
1 30
 
11.5%
2 11
 
4.2%
3 4
 
1.5%
4 5
 
1.9%
6 1
 
0.4%
7 1
 
0.4%
12 2
 
0.8%
21 1
 
0.4%
40 1
 
0.4%
ValueCountFrequency (%)
40 1
 
0.4%
21 1
 
0.4%
12 2
 
0.8%
7 1
 
0.4%
6 1
 
0.4%
4 5
 
1.9%
3 4
 
1.5%
2 11
 
4.2%
1 30
 
11.5%
0 204
78.5%

전문인력(E7-01)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8153846
Minimum0
Maximum355
Zeros128
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:37.802158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile27.15
Maximum355
Range355
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.13051
Coefficient of variation (CV)3.9832345
Kurtosis72.199823
Mean7.8153846
Median Absolute Deviation (MAD)1
Skewness7.8099385
Sum2032
Variance969.10864
MonotonicityNot monotonic
2024-03-14T17:38:38.028377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 128
49.2%
1 48
 
18.5%
2 13
 
5.0%
3 9
 
3.5%
5 8
 
3.1%
7 7
 
2.7%
4 5
 
1.9%
8 3
 
1.2%
22 3
 
1.2%
9 3
 
1.2%
Other values (23) 33
 
12.7%
ValueCountFrequency (%)
0 128
49.2%
1 48
 
18.5%
2 13
 
5.0%
3 9
 
3.5%
4 5
 
1.9%
5 8
 
3.1%
6 2
 
0.8%
7 7
 
2.7%
8 3
 
1.2%
9 3
 
1.2%
ValueCountFrequency (%)
355 1
0.4%
219 1
0.4%
172 1
0.4%
161 1
0.4%
87 1
0.4%
76 1
0.4%
65 1
0.4%
60 1
0.4%
46 1
0.4%
43 1
0.4%

준전문인력(E7-02)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0923077
Minimum0
Maximum577
Zeros225
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:38.315072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.05
Maximum577
Range577
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.941071
Coefficient of variation (CV)8.6289112
Kurtosis134.68206
Mean5.0923077
Median Absolute Deviation (MAD)0
Skewness11.323334
Sum1324
Variance1930.8177
MonotonicityNot monotonic
2024-03-14T17:38:38.509099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 225
86.5%
1 10
 
3.8%
3 5
 
1.9%
2 5
 
1.9%
6 4
 
1.5%
4 2
 
0.8%
79 1
 
0.4%
10 1
 
0.4%
78 1
 
0.4%
39 1
 
0.4%
Other values (5) 5
 
1.9%
ValueCountFrequency (%)
0 225
86.5%
1 10
 
3.8%
2 5
 
1.9%
3 5
 
1.9%
4 2
 
0.8%
5 1
 
0.4%
6 4
 
1.5%
9 1
 
0.4%
10 1
 
0.4%
39 1
 
0.4%
ValueCountFrequency (%)
577 1
 
0.4%
394 1
 
0.4%
79 1
 
0.4%
78 1
 
0.4%
66 1
 
0.4%
39 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
6 4
1.5%
5 1
 
0.4%

일반기능인력(E7-03)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8807692
Minimum0
Maximum424
Zeros244
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:38.704089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum424
Range424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.535116
Coefficient of variation (CV)9.5582514
Kurtosis213.76361
Mean2.8807692
Median Absolute Deviation (MAD)0
Skewness14.138134
Sum749
Variance758.18264
MonotonicityNot monotonic
2024-03-14T17:38:38.882542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 244
93.8%
1 4
 
1.5%
2 3
 
1.2%
18 2
 
0.8%
424 1
 
0.4%
41 1
 
0.4%
7 1
 
0.4%
16 1
 
0.4%
74 1
 
0.4%
89 1
 
0.4%
ValueCountFrequency (%)
0 244
93.8%
1 4
 
1.5%
2 3
 
1.2%
7 1
 
0.4%
16 1
 
0.4%
18 2
 
0.8%
41 1
 
0.4%
52 1
 
0.4%
74 1
 
0.4%
89 1
 
0.4%
ValueCountFrequency (%)
424 1
 
0.4%
89 1
 
0.4%
74 1
 
0.4%
52 1
 
0.4%
41 1
 
0.4%
18 2
0.8%
16 1
 
0.4%
7 1
 
0.4%
2 3
1.2%
1 4
1.5%

농업장기(E8-01)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.430769
Minimum0
Maximum2133
Zeros243
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:39.072270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35.8
Maximum2133
Range2133
Interquartile range (IQR)0

Descriptive statistics

Standard deviation152.10918
Coefficient of variation (CV)7.8282636
Kurtosis151.12507
Mean19.430769
Median Absolute Deviation (MAD)0
Skewness11.650567
Sum5052
Variance23137.204
MonotonicityNot monotonic
2024-03-14T17:38:39.289564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 243
93.5%
58 2
 
0.8%
151 1
 
0.4%
2 1
 
0.4%
63 1
 
0.4%
142 1
 
0.4%
182 1
 
0.4%
51 1
 
0.4%
35 1
 
0.4%
4 1
 
0.4%
Other values (7) 7
 
2.7%
ValueCountFrequency (%)
0 243
93.5%
2 1
 
0.4%
4 1
 
0.4%
11 1
 
0.4%
35 1
 
0.4%
51 1
 
0.4%
58 2
 
0.8%
63 1
 
0.4%
105 1
 
0.4%
142 1
 
0.4%
ValueCountFrequency (%)
2133 1
0.4%
954 1
0.4%
653 1
0.4%
252 1
0.4%
198 1
0.4%
182 1
0.4%
151 1
0.4%
142 1
0.4%
105 1
0.4%
63 1
0.4%

농업장기(E8-02)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.853846
Minimum0
Maximum1833
Zeros240
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:39.535264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum1833
Range1833
Interquartile range (IQR)0

Descriptive statistics

Standard deviation137.30324
Coefficient of variation (CV)9.2436152
Kurtosis142.4693
Mean14.853846
Median Absolute Deviation (MAD)0
Skewness11.719457
Sum3862
Variance18852.179
MonotonicityNot monotonic
2024-03-14T17:38:39.736992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 240
92.3%
20 2
 
0.8%
1833 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%
31 1
 
0.4%
28 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
Other values (10) 10
 
3.8%
ValueCountFrequency (%)
0 240
92.3%
1 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
20 2
 
0.8%
27 1
 
0.4%
28 1
 
0.4%
ValueCountFrequency (%)
1833 1
0.4%
1227 1
0.4%
159 1
0.4%
119 1
0.4%
117 1
0.4%
101 1
0.4%
74 1
0.4%
36 1
0.4%
31 1
0.4%
29 1
0.4%

어업장기(E8-03)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0730769
Minimum0
Maximum713
Zeros252
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:39.932252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum713
Range713
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.609849
Coefficient of variation (CV)9.5819263
Kurtosis179.29485
Mean5.0730769
Median Absolute Deviation (MAD)0
Skewness12.86286
Sum1319
Variance2362.9174
MonotonicityNot monotonic
2024-03-14T17:38:40.118072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 252
96.9%
283 1
 
0.4%
30 1
 
0.4%
713 1
 
0.4%
154 1
 
0.4%
22 1
 
0.4%
20 1
 
0.4%
52 1
 
0.4%
45 1
 
0.4%
ValueCountFrequency (%)
0 252
96.9%
20 1
 
0.4%
22 1
 
0.4%
30 1
 
0.4%
45 1
 
0.4%
52 1
 
0.4%
154 1
 
0.4%
283 1
 
0.4%
713 1
 
0.4%
ValueCountFrequency (%)
713 1
 
0.4%
283 1
 
0.4%
154 1
 
0.4%
52 1
 
0.4%
45 1
 
0.4%
30 1
 
0.4%
22 1
 
0.4%
20 1
 
0.4%
0 252
96.9%

어업장기(E8-04)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum0
Maximum306
Zeros251
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:40.310425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum306
Range306
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.244235
Coefficient of variation (CV)9.8863266
Kurtosis151.9826
Mean2.25
Median Absolute Deviation (MAD)0
Skewness12.041923
Sum585
Variance494.80598
MonotonicityNot monotonic
2024-03-14T17:38:40.557121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 251
96.5%
306 1
 
0.4%
184 1
 
0.4%
32 1
 
0.4%
22 1
 
0.4%
17 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
1 1
 
0.4%
ValueCountFrequency (%)
0 251
96.5%
1 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
17 1
 
0.4%
22 1
 
0.4%
32 1
 
0.4%
184 1
 
0.4%
306 1
 
0.4%
ValueCountFrequency (%)
306 1
 
0.4%
184 1
 
0.4%
32 1
 
0.4%
22 1
 
0.4%
17 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
1 1
 
0.4%
0 251
96.5%

제 조 업(E9-01)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.22308
Minimum0
Maximum8934
Zeros229
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:40.799705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile661.95
Maximum8934
Range8934
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1295.79
Coefficient of variation (CV)4.6741779
Kurtosis27.481347
Mean277.22308
Median Absolute Deviation (MAD)0
Skewness5.2509188
Sum72078
Variance1679071.7
MonotonicityNot monotonic
2024-03-14T17:38:41.011360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 229
88.1%
7863 1
 
0.4%
1872 1
 
0.4%
46 1
 
0.4%
571 1
 
0.4%
141 1
 
0.4%
164 1
 
0.4%
6 1
 
0.4%
2 1
 
0.4%
18 1
 
0.4%
Other values (22) 22
 
8.5%
ValueCountFrequency (%)
0 229
88.1%
2 1
 
0.4%
6 1
 
0.4%
18 1
 
0.4%
19 1
 
0.4%
25 1
 
0.4%
45 1
 
0.4%
46 1
 
0.4%
52 1
 
0.4%
141 1
 
0.4%
ValueCountFrequency (%)
8934 1
0.4%
8864 1
0.4%
7863 1
0.4%
7299 1
0.4%
6659 1
0.4%
6188 1
0.4%
5896 1
0.4%
5719 1
0.4%
3578 1
0.4%
3424 1
0.4%

건 설 업(E9-02)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8884615
Minimum0
Maximum1015
Zeros255
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:41.204009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1015
Range1015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.157136
Coefficient of variation (CV)10.039562
Kurtosis178.99937
Mean6.8884615
Median Absolute Deviation (MAD)0
Skewness12.823759
Sum1791
Variance4782.7095
MonotonicityNot monotonic
2024-03-14T17:38:41.386090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 255
98.1%
65 1
 
0.4%
331 1
 
0.4%
322 1
 
0.4%
1015 1
 
0.4%
58 1
 
0.4%
ValueCountFrequency (%)
0 255
98.1%
58 1
 
0.4%
65 1
 
0.4%
322 1
 
0.4%
331 1
 
0.4%
1015 1
 
0.4%
ValueCountFrequency (%)
1015 1
 
0.4%
331 1
 
0.4%
322 1
 
0.4%
65 1
 
0.4%
58 1
 
0.4%
0 255
98.1%

농 업(E9-03)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.661538
Minimum0
Maximum4147
Zeros249
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:41.572954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4147
Range4147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation348.71726
Coefficient of variation (CV)6.7500364
Kurtosis90.982943
Mean51.661538
Median Absolute Deviation (MAD)0
Skewness8.9683907
Sum13432
Variance121603.73
MonotonicityNot monotonic
2024-03-14T17:38:41.840575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 249
95.8%
727 1
 
0.4%
326 1
 
0.4%
4147 1
 
0.4%
1419 1
 
0.4%
1357 1
 
0.4%
2861 1
 
0.4%
653 1
 
0.4%
1071 1
 
0.4%
862 1
 
0.4%
Other values (2) 2
 
0.8%
ValueCountFrequency (%)
0 249
95.8%
3 1
 
0.4%
6 1
 
0.4%
326 1
 
0.4%
653 1
 
0.4%
727 1
 
0.4%
862 1
 
0.4%
1071 1
 
0.4%
1357 1
 
0.4%
1419 1
 
0.4%
ValueCountFrequency (%)
4147 1
0.4%
2861 1
0.4%
1419 1
0.4%
1357 1
0.4%
1071 1
0.4%
862 1
0.4%
727 1
0.4%
653 1
0.4%
326 1
0.4%
6 1
0.4%

어 업(E9-04)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.661538
Minimum0
Maximum3185
Zeros253
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:42.015074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3185
Range3185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation250.29634
Coefficient of variation (CV)9.0485327
Kurtosis117.55436
Mean27.661538
Median Absolute Deviation (MAD)0
Skewness10.45995
Sum7192
Variance62648.256
MonotonicityNot monotonic
2024-03-14T17:38:42.199593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 253
97.3%
2108 1
 
0.4%
4 1
 
0.4%
3185 1
 
0.4%
3 1
 
0.4%
1102 1
 
0.4%
1 1
 
0.4%
789 1
 
0.4%
ValueCountFrequency (%)
0 253
97.3%
1 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
789 1
 
0.4%
1102 1
 
0.4%
2108 1
 
0.4%
3185 1
 
0.4%
ValueCountFrequency (%)
3185 1
 
0.4%
2108 1
 
0.4%
1102 1
 
0.4%
789 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%
0 253
97.3%

서비스업(E9-05)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
256 
77
 
1
27
 
1
2
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.0076923
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 256
98.5%
77 1
 
0.4%
27 1
 
0.4%
2 1
 
0.4%
1 1
 
0.4%

Length

2024-03-14T17:38:42.417816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:42.597906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
98.5%
77 1
 
0.4%
27 1
 
0.4%
2 1
 
0.4%
1 1
 
0.4%

내항선원(E10-01)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
203
 
1
672
 
1

Length

Max length3
Median length1
Mean length1.0153846
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row203

Common Values

ValueCountFrequency (%)
0 258
99.2%
203 1
 
0.4%
672 1
 
0.4%

Length

2024-03-14T17:38:42.964524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:43.195319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
203 1
 
0.4%
672 1
 
0.4%

어 선 원(E10-02)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
999
 
1
2254
 
1
29
 
1

Length

Max length4
Median length1
Mean length1.0230769
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row999
2nd row0
3rd row0
4th row0
5th row2254

Common Values

ValueCountFrequency (%)
0 257
98.8%
999 1
 
0.4%
2254 1
 
0.4%
29 1
 
0.4%

Length

2024-03-14T17:38:43.385930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:43.569369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
999 1
 
0.4%
2254 1
 
0.4%
29 1
 
0.4%

순항선원(E10-03)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
258 
29
 
1
6
 
1

Length

Max length2
Median length1
Mean length1.0038462
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 258
99.2%
29 1
 
0.4%
6 1
 
0.4%

Length

2024-03-14T17:38:43.756504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:43.931617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 258
99.2%
29 1
 
0.4%
6 1
 
0.4%

외교동거(F1-03)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
255 
1
 
5

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 (%)
0 255
98.1%
1 5
 
1.9%

Length

2024-03-14T17:38:44.153220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:44.361027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 255
98.1%
1 5
 
1.9%

결혼이민가족(F1-05)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
256 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 256
98.5%
1 3
 
1.2%
2 1
 
0.4%

Length

2024-03-14T17:38:44.529822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:44.695105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
98.5%
1 3
 
1.2%
2 1
 
0.4%

방문취업자녀(F1-11)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
259 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 259
99.6%
2 1
 
0.4%

Length

2024-03-14T17:38:44.872853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:45.034439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 259
99.6%
2 1
 
0.4%

거주배우자등(F1-12)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72307692
Minimum0
Maximum39
Zeros234
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:45.194696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.524904
Coefficient of variation (CV)4.8748672
Kurtosis66.862105
Mean0.72307692
Median Absolute Deviation (MAD)0
Skewness7.5071275
Sum188
Variance12.424948
MonotonicityNot monotonic
2024-03-14T17:38:45.491066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 234
90.0%
1 6
 
2.3%
4 4
 
1.5%
2 4
 
1.5%
8 2
 
0.8%
18 1
 
0.4%
39 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
16 1
 
0.4%
Other values (5) 5
 
1.9%
ValueCountFrequency (%)
0 234
90.0%
1 6
 
2.3%
2 4
 
1.5%
3 1
 
0.4%
4 4
 
1.5%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 2
 
0.8%
10 1
 
0.4%
ValueCountFrequency (%)
39 1
0.4%
26 1
0.4%
18 1
0.4%
16 1
0.4%
12 1
0.4%
10 1
0.4%
8 2
0.8%
7 1
0.4%
6 1
0.4%
5 1
0.4%

우수인재 등의 부모(F1-15)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3615385
Minimum0
Maximum101
Zeros218
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:45.708878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.1
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.630079
Coefficient of variation (CV)4.9247893
Kurtosis42.675435
Mean2.3615385
Median Absolute Deviation (MAD)0
Skewness6.3208554
Sum614
Variance135.25875
MonotonicityNot monotonic
2024-03-14T17:38:45.909109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 218
83.8%
1 19
 
7.3%
2 5
 
1.9%
4 3
 
1.2%
32 2
 
0.8%
33 1
 
0.4%
50 1
 
0.4%
63 1
 
0.4%
39 1
 
0.4%
16 1
 
0.4%
Other values (8) 8
 
3.1%
ValueCountFrequency (%)
0 218
83.8%
1 19
 
7.3%
2 5
 
1.9%
3 1
 
0.4%
4 3
 
1.2%
5 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
14 1
 
0.4%
16 1
 
0.4%
ValueCountFrequency (%)
101 1
0.4%
88 1
0.4%
82 1
0.4%
63 1
0.4%
50 1
0.4%
39 1
0.4%
33 1
0.4%
32 2
0.8%
16 1
0.4%
14 1
0.4%

외교가사보조(F1-21)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32692308
Minimum0
Maximum56
Zeros240
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:46.085499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum56
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4958395
Coefficient of variation (CV)10.693156
Kurtosis251.14925
Mean0.32692308
Median Absolute Deviation (MAD)0
Skewness15.723704
Sum85
Variance12.220894
MonotonicityNot monotonic
2024-03-14T17:38:46.252344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 240
92.3%
1 12
 
4.6%
2 5
 
1.9%
4 1
 
0.4%
56 1
 
0.4%
3 1
 
0.4%
ValueCountFrequency (%)
0 240
92.3%
1 12
 
4.6%
2 5
 
1.9%
3 1
 
0.4%
4 1
 
0.4%
56 1
 
0.4%
ValueCountFrequency (%)
56 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
2 5
 
1.9%
1 12
 
4.6%
0 240
92.3%

고액가사보조(F1-22)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
255 
1
 
3
2
 
1
22
 
1

Length

Max length2
Median length1
Mean length1.0038462
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 255
98.1%
1 3
 
1.2%
2 1
 
0.4%
22 1
 
0.4%

Length

2024-03-14T17:38:46.469480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:46.721416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 255
98.1%
1 3
 
1.2%
2 1
 
0.4%
22 1
 
0.4%

전문가사보조(F1-24)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
255 
1
 
4
12
 
1

Length

Max length2
Median length1
Mean length1.0038462
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 255
98.1%
1 4
 
1.5%
12 1
 
0.4%

Length

2024-03-14T17:38:46.908423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:47.079635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 255
98.1%
1 4
 
1.5%
12 1
 
0.4%

점수우수인력(F2-07)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
256 
1
 
4

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 (%)
0 256
98.5%
1 4
 
1.5%

Length

2024-03-14T17:38:47.253976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:47.416372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
98.5%
1 4
 
1.5%

점수가족(F2-71)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69615385
Minimum0
Maximum53
Zeros236
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:47.570157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum53
Range53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9431266
Coefficient of variation (CV)5.6641598
Kurtosis123.47282
Mean0.69615385
Median Absolute Deviation (MAD)0
Skewness10.113662
Sum181
Variance15.548248
MonotonicityNot monotonic
2024-03-14T17:38:48.025103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 236
90.8%
1 7
 
2.7%
6 3
 
1.2%
4 2
 
0.8%
5 2
 
0.8%
7 2
 
0.8%
3 2
 
0.8%
17 1
 
0.4%
53 1
 
0.4%
2 1
 
0.4%
Other values (3) 3
 
1.2%
ValueCountFrequency (%)
0 236
90.8%
1 7
 
2.7%
2 1
 
0.4%
3 2
 
0.8%
4 2
 
0.8%
5 2
 
0.8%
6 3
 
1.2%
7 2
 
0.8%
11 1
 
0.4%
16 1
 
0.4%
ValueCountFrequency (%)
53 1
 
0.4%
19 1
 
0.4%
17 1
 
0.4%
16 1
 
0.4%
11 1
 
0.4%
7 2
0.8%
6 3
1.2%
5 2
0.8%
4 2
0.8%
3 2
0.8%

기타장기(F2-99)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
253 
2
 
3
1
 
2
4
 
1
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 253
97.3%
2 3
 
1.2%
1 2
 
0.8%
4 1
 
0.4%
8 1
 
0.4%

Length

2024-03-14T17:38:48.228607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:48.406073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 253
97.3%
2 3
 
1.2%
1 2
 
0.8%
4 1
 
0.4%
8 1
 
0.4%

동반(F3-01)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9423077
Minimum0
Maximum270
Zeros122
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-14T17:38:48.597784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.25
95-th percentile29.15
Maximum270
Range270
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation23.200331
Coefficient of variation (CV)3.3418759
Kurtosis74.714887
Mean6.9423077
Median Absolute Deviation (MAD)1
Skewness7.7714375
Sum1805
Variance538.25535
MonotonicityNot monotonic
2024-03-14T17:38:48.833075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 122
46.9%
1 30
 
11.5%
2 20
 
7.7%
3 13
 
5.0%
6 11
 
4.2%
4 10
 
3.8%
7 6
 
2.3%
14 5
 
1.9%
8 4
 
1.5%
13 4
 
1.5%
Other values (24) 35
 
13.5%
ValueCountFrequency (%)
0 122
46.9%
1 30
 
11.5%
2 20
 
7.7%
3 13
 
5.0%
4 10
 
3.8%
5 4
 
1.5%
6 11
 
4.2%
7 6
 
2.3%
8 4
 
1.5%
9 2
 
0.8%
ValueCountFrequency (%)
270 1
0.4%
170 1
0.4%
114 1
0.4%
85 1
0.4%
71 1
0.4%
61 1
0.4%
50 1
0.4%
44 1
0.4%
42 2
0.8%
34 2
0.8%

동반(F3-03)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
259 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 259
99.6%
1 1
 
0.4%

Length

2024-03-14T17:38:49.124382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:49.287368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 259
99.6%
1 1
 
0.4%

연고방취(H2-01)
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
257 
3
 
1
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 257
98.8%
3 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%

Length

2024-03-14T17:38:49.454893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:49.629612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
98.8%
3 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%

만기방취(H2-07)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
259 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 259
99.6%
2 1
 
0.4%

Length

2024-03-14T17:38:49.813742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:38:49.977097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 259
99.6%
2 1
 
0.4%

Sample

대륙국가성별국제기구(A2-02)단기일반(C3-01)의료관광(C3-03)일반상용(C3-04)단기상용(C3-06)단기취업(C4)농업단기(C4-01)농업단기(C4-02)어업단기(C4-03)어업단기(C4-04)문화예술(D1)전문학사(D2-01)학사유학(D2-02)석사유학(D2-03)박사유학(D2-04)연구유학(D2-05)교환학생(D2-06)방문학생(D2-08)해외직접(D3-11)대학부설어학원연수(D4-01)기타기관연수(D4-02)초중고생(D4-03)사설기관연수(D4-06)외국어연수(D4-07)취재(D5)종교(D6)외국기업(D7-01)내국기업(D7-02)법인에 투자(D8-01)개인기업투자(D8-03)무역고유거래(D9-01)수출설비(D9-02)선박설비(D9-03)첨단기술인턴(D10-03)교수(E1)일반회화강사(E2-01)학교보조교사(E2-02)연구(E3)기술지도(E4)전문직업(E5)예술연예(E6-01)호텔유흥(E6-02)운 동(E6-03)전문인력(E7-01)준전문인력(E7-02)일반기능인력(E7-03)농업장기(E8-01)농업장기(E8-02)어업장기(E8-03)어업장기(E8-04)제 조 업(E9-01)건 설 업(E9-02)농 업(E9-03)어 업(E9-04)서비스업(E9-05)내항선원(E10-01)어 선 원(E10-02)순항선원(E10-03)외교동거(F1-03)결혼이민가족(F1-05)방문취업자녀(F1-11)거주배우자등(F1-12)우수인재 등의 부모(F1-15)외교가사보조(F1-21)고액가사보조(F1-22)전문가사보조(F1-24)점수우수인력(F2-07)점수가족(F2-71)기타장기(F2-99)동반(F3-01)동반(F3-03)연고방취(H2-01)만기방취(H2-07)
0아시아주베트남남성100000165280046111000402093684230790012225251003030032007003553424151183303067863657272108009990000183300001707000
1아시아주베트남여성600000126122032134300142714097280350042103000002105002011222105122701848320326400000003988000153216000
2아시아주네팔남성0000000110200000000024001011011000000009000001790653101283089340414700000000440000400000
3아시아주네팔여성00000020000000000001920000400000000000000000000252363003200141900000000851000602000
4아시아주인도네시아남성200000000010001010270980000102216004130300620401221041000088640031850203225400000200000014000
5아시아주인도네시아여성302000000000000000803600009105000401001004102260000027100300000000342100024000
6아시아주필리핀남성0010004741605000000002012000026531300737020003011451260072133117713327299000000290000020001014000
7아시아주필리핀여성000000174805100000002226100043206000001001001649103501954741542246400000060001056221200029000
8아시아주캄보디아남성001000142290200000000002300000061000000000002002001981590176188331135700000000000000000000
9아시아주캄보디아여성003000116170500000000009000010200000000000000000011119095600286100000000200000000000
대륙국가성별국제기구(A2-02)단기일반(C3-01)의료관광(C3-03)일반상용(C3-04)단기상용(C3-06)단기취업(C4)농업단기(C4-01)농업단기(C4-02)어업단기(C4-03)어업단기(C4-04)문화예술(D1)전문학사(D2-01)학사유학(D2-02)석사유학(D2-03)박사유학(D2-04)연구유학(D2-05)교환학생(D2-06)방문학생(D2-08)해외직접(D3-11)대학부설어학원연수(D4-01)기타기관연수(D4-02)초중고생(D4-03)사설기관연수(D4-06)외국어연수(D4-07)취재(D5)종교(D6)외국기업(D7-01)내국기업(D7-02)법인에 투자(D8-01)개인기업투자(D8-03)무역고유거래(D9-01)수출설비(D9-02)선박설비(D9-03)첨단기술인턴(D10-03)교수(E1)일반회화강사(E2-01)학교보조교사(E2-02)연구(E3)기술지도(E4)전문직업(E5)예술연예(E6-01)호텔유흥(E6-02)운 동(E6-03)전문인력(E7-01)준전문인력(E7-02)일반기능인력(E7-03)농업장기(E8-01)농업장기(E8-02)어업장기(E8-03)어업장기(E8-04)제 조 업(E9-01)건 설 업(E9-02)농 업(E9-03)어 업(E9-04)서비스업(E9-05)내항선원(E10-01)어 선 원(E10-02)순항선원(E10-03)외교동거(F1-03)결혼이민가족(F1-05)방문취업자녀(F1-11)거주배우자등(F1-12)우수인재 등의 부모(F1-15)외교가사보조(F1-21)고액가사보조(F1-22)전문가사보조(F1-24)점수우수인력(F2-07)점수가족(F2-71)기타장기(F2-99)동반(F3-01)동반(F3-03)연고방취(H2-01)만기방취(H2-07)
250아프리카주소말리아남성0000000000000000000100000000000000000000000000000000000000000000000000000
251아프리카주부르키나파소남성0000000000000000000000000000000000000000100000000000000000000000000000000
252아프리카주부룬디남성0000000000000000000000000000000000000100000000000000000000000000000000000
253아프리카주베냉남성0000000000000000000000000000000000000100000000000000000000000000000000000
254아프리카주말라위여성0000000000000000000000000000000000000000000000000000000000000001000000000
255아프리카주라이베리아남성0000000000000000000010000000000000000000000000000000000000000000000000000
256아프리카주기니비사우여성0000000000000000000000000000000000000000000000000000000000000001000000000
257아프리카주가봉여성0000000000000000000000000000000000000000100000000000000000000000000000000
258기타기타남성6100000000000000000000000000000000000000000010000000000000000000000000000
259기타기타여성1000000000000000000000000000000000000000000000000000000000000000000000000