Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells14
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description인천광역시 서구의 무인민원발급기 발급가능서류에 관한 데이터입니다. 서류명, 수수료(원), 본인확인(지문), 참고사항 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15105616/fileData.do

Alerts

연번 is highly overall correlated with 본인확인(지문)High correlation
수수료(원) is highly overall correlated with 본인확인(지문)High correlation
본인확인(지문) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
참고사항 has 14 (60.9%) missing valuesMissing
연번 has unique valuesUnique
서류명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:46:08.849375
Analysis finished2023-12-12 21:46:09.390285
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T06:46:09.447038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-13T06:46:09.573348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

서류명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T06:46:09.801152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length18
Mean length16.695652
Min length4

Characters and Unicode

Total characters384
Distinct characters93
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row주민등록 등.초본
2nd row토지대장.임야대장, 대지권등록부
3rd row건축물대장
4th row개별공시지가확인원
5th row토지이용계획확인원
ValueCountFrequency (%)
3
 
5.6%
검정고시 2
 
3.7%
성적증명서 2
 
3.7%
2
 
3.7%
2
 
3.7%
증명서 2
 
3.7%
건강보험(건강보험 1
 
1.9%
부동산등기부등본 1
 
1.9%
법인인감증명서 1
 
1.9%
법인등기부등본 1
 
1.9%
Other values (37) 37
68.5%
2023-12-13T06:46:10.184261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
8.1%
22
 
5.7%
21
 
5.5%
19
 
4.9%
, 17
 
4.4%
14
 
3.6%
14
 
3.6%
11
 
2.9%
8
 
2.1%
8
 
2.1%
Other values (83) 219
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
83.9%
Space Separator 31
 
8.1%
Other Punctuation 19
 
4.9%
Close Punctuation 6
 
1.6%
Open Punctuation 6
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
6.8%
21
 
6.5%
19
 
5.9%
14
 
4.3%
14
 
4.3%
11
 
3.4%
8
 
2.5%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (78) 190
59.0%
Other Punctuation
ValueCountFrequency (%)
, 17
89.5%
. 2
 
10.5%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
83.9%
Common 62
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
6.8%
21
 
6.5%
19
 
5.9%
14
 
4.3%
14
 
4.3%
11
 
3.4%
8
 
2.5%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (78) 190
59.0%
Common
ValueCountFrequency (%)
31
50.0%
, 17
27.4%
) 6
 
9.7%
( 6
 
9.7%
. 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
83.9%
ASCII 62
 
16.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
50.0%
, 17
27.4%
) 6
 
9.7%
( 6
 
9.7%
. 2
 
3.2%
Hangul
ValueCountFrequency (%)
22
 
6.8%
21
 
6.5%
19
 
5.9%
14
 
4.3%
14
 
4.3%
11
 
3.4%
8
 
2.5%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (78) 190
59.0%

수수료(원)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
무료
11 
1,000
200
400
800
Other values (3)

Length

Max length14
Median length5
Mean length3.2608696
Min length2

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row200
2nd row400
3rd row400
4th row600
5th row800

Common Values

ValueCountFrequency (%)
무료 11
47.8%
1,000 3
 
13.0%
200 2
 
8.7%
400 2
 
8.7%
800 2
 
8.7%
600 1
 
4.3%
관내:400,관외:1200 1
 
4.3%
500 1
 
4.3%

Length

2023-12-13T06:46:10.322306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:46:10.493869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 11
47.8%
1,000 3
 
13.0%
200 2
 
8.7%
400 2
 
8.7%
800 2
 
8.7%
600 1
 
4.3%
관내:400,관외:1200 1
 
4.3%
500 1
 
4.3%

본인확인(지문)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
필요
16 
불필요

Length

Max length3
Median length2
Mean length2.3043478
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row필요
2nd row불필요
3rd row불필요
4th row불필요
5th row불필요

Common Values

ValueCountFrequency (%)
필요 16
69.6%
불필요 7
30.4%

Length

2023-12-13T06:46:10.630056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:46:10.728508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
필요 16
69.6%
불필요 7
30.4%

참고사항
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing14
Missing (%)60.9%
Memory size316.0 B
2023-12-13T06:46:10.921973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length58
Mean length51.555556
Min length13

Characters and Unicode

Total characters464
Distinct characters129
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)55.6%

Sample

1st row토요일에는 15:00까지만 발급(일, 공휴일은 발급 불가)
2nd row서구주민의 서구 보유농지에 한해서 가능
3rd row발급의 대상이 되는 본인 기준으로 부모, 배우자, 자녀가 출력됨(본인 기준이 아닌 경우 무인민원발급기에서 발급 불가)
4th row군필, 면제, 제1국민역
5th row학교별로 발급조건 차이있음. 인천지역 졸업증명은 1981년 졸업자부터 성적증명은 2003년 졸업자부터가능
ValueCountFrequency (%)
발급 5
 
5.7%
3
 
3.4%
법원통합무인기에서만 3
 
3.4%
민원봉사과 3
 
3.4%
학교별로 2
 
2.3%
가능 2
 
2.3%
발급조건 2
 
2.3%
불가 2
 
2.3%
로비 2
 
2.3%
방문 2
 
2.3%
Other values (51) 61
70.1%
2023-12-13T06:46:11.303024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
16.8%
, 20
 
4.3%
13
 
2.8%
12
 
2.6%
11
 
2.4%
11
 
2.4%
10
 
2.2%
10
 
2.2%
8
 
1.7%
1 8
 
1.7%
Other values (119) 283
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
70.7%
Space Separator 78
 
16.8%
Decimal Number 27
 
5.8%
Other Punctuation 23
 
5.0%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
4.0%
12
 
3.7%
11
 
3.4%
11
 
3.4%
10
 
3.0%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
Other values (106) 234
71.3%
Decimal Number
ValueCountFrequency (%)
1 8
29.6%
0 6
22.2%
2 6
22.2%
9 2
 
7.4%
3 2
 
7.4%
8 2
 
7.4%
5 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 20
87.0%
. 2
 
8.7%
: 1
 
4.3%
Space Separator
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
70.7%
Common 136
29.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
4.0%
12
 
3.7%
11
 
3.4%
11
 
3.4%
10
 
3.0%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
Other values (106) 234
71.3%
Common
ValueCountFrequency (%)
78
57.4%
, 20
 
14.7%
1 8
 
5.9%
0 6
 
4.4%
2 6
 
4.4%
) 4
 
2.9%
( 4
 
2.9%
9 2
 
1.5%
. 2
 
1.5%
3 2
 
1.5%
Other values (3) 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
70.7%
ASCII 136
29.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
57.4%
, 20
 
14.7%
1 8
 
5.9%
0 6
 
4.4%
2 6
 
4.4%
) 4
 
2.9%
( 4
 
2.9%
9 2
 
1.5%
. 2
 
1.5%
3 2
 
1.5%
Other values (3) 4
 
2.9%
Hangul
ValueCountFrequency (%)
13
 
4.0%
12
 
3.7%
11
 
3.4%
11
 
3.4%
10
 
3.0%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
Other values (106) 234
71.3%

Interactions

2023-12-13T06:46:09.143793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:46:11.403237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번서류명수수료(원)본인확인(지문)참고사항
연번1.0001.0000.7580.9310.982
서류명1.0001.0001.0001.0001.000
수수료(원)0.7581.0001.0000.9931.000
본인확인(지문)0.9311.0000.9931.0001.000
참고사항0.9821.0001.0001.0001.000
2023-12-13T06:46:11.500108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본인확인(지문)수수료(원)
본인확인(지문)1.0000.779
수수료(원)0.7791.000
2023-12-13T06:46:11.584579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수수료(원)본인확인(지문)
연번1.0000.3920.607
수수료(원)0.3921.0000.779
본인확인(지문)0.6070.7791.000

Missing values

2023-12-13T06:46:09.256420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:46:09.347084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번서류명수수료(원)본인확인(지문)참고사항
01주민등록 등.초본200필요<NA>
12토지대장.임야대장, 대지권등록부400불필요<NA>
23건축물대장400불필요<NA>
34개별공시지가확인원600불필요<NA>
45토지이용계획확인원800불필요<NA>
56자동차등록원부(원부, 갑, 을)200필요<NA>
67건설기계등록원부(원부, 갑, 을)관내:400,관외:1200필요토요일에는 15:00까지만 발급(일, 공휴일은 발급 불가)
78국민기초수급자 증명서무료필요<NA>
89농지원부800필요서구주민의 서구 보유농지에 한해서 가능
910가족관계등록부(가족관계증명서, 혼인관계증명서,기본증명서, 입양관계증명서, 친양자입양관계증명서)500필요발급의 대상이 되는 본인 기준으로 부모, 배우자, 자녀가 출력됨(본인 기준이 아닌 경우 무인민원발급기에서 발급 불가)
연번서류명수수료(원)본인확인(지문)참고사항
1314초중고 졸업증명서무료필요학교별로 발급조건 차이있음. 인천지역 졸업증명은 1981년 졸업자부터 성적증명은 2003년 졸업자부터가능
1415중고 성적증명서무료필요학교별로 발급조건 차이있음. 인천지역 졸업증명은 1981년 졸업자부터 성적증명은 2003년 졸업자부터가능
1516검정고시 합격증명서무료필요<NA>
1617검정고시 성적증명서무료필요<NA>
1718부동산등기부등본1,000불필요서구청(본관 로비 2대, 2청사 로비 1대),동행정복지센터(가좌1동, 가좌2동, 검단동, 검암경서동, 당하동, 불로대곡동, 신현원창동, 연희동, 오류왕길동, 청라2동), 검단출장소, 서인천세무서 및 서구청 민원봉사과 내 법원통합무인기에서만 발급 가능
1819법인인감증명서1,000불필요민원봉사과 내 법원통합무인기에서만 발급 가능,법인인감매체 지참하여 방문
1920법인등기부등본1,000불필요민원봉사과 내 법원통합무인기에서만 발급 가능,법인인감매체 지참하여 방문
2021국세증명(국세납세증명서, 소득금액증명,사업자등록증명, 부가가치세 과세표준증명 등)무료필요<NA>
2122건강보험(건강보험 자격득실확인서, 직장가입자 국민연금보험료 납부확인서, 건강보험 자격확인서 등)무료필요<NA>
2223국민연금(국민연금 가입자 증명, 수급증명,연금소득원천징수영수증,국민연금보험료 소득공제용납부확인서 등)무료필요<NA>