Overview

Dataset statistics

Number of variables6
Number of observations719
Missing cells37
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.5 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description인천광역시 서구의 민원편람 정보 (민원 사무구분, 담당부서, 민원 사무명, 처리기한 등) 에 관한 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15063602&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
사무구분 is highly overall correlated with 부서High correlation
부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 부서High correlation
처리기한 has 37 (5.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:00:15.891960
Analysis finished2024-01-28 07:00:16.507010
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct719
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360
Minimum1
Maximum719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-01-28T16:00:16.561463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.9
Q1180.5
median360
Q3539.5
95-th percentile683.1
Maximum719
Range718
Interquartile range (IQR)359

Descriptive statistics

Standard deviation207.70171
Coefficient of variation (CV)0.57694919
Kurtosis-1.2
Mean360
Median Absolute Deviation (MAD)180
Skewness0
Sum258840
Variance43140
MonotonicityStrictly increasing
2024-01-28T16:00:16.665687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
474 1
 
0.1%
476 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
Other values (709) 709
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%
712 1
0.1%
711 1
0.1%
710 1
0.1%

사무구분
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
산업+경제
138 
청소+환경
96 
사회복지
76 
민원
70 
건설+건축
66 
Other values (10)
273 

Length

Max length6
Median length5
Mean length4.5410292
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row식품+위생
2nd row민원
3rd row보건+건강
4th row청소+환경
5th row문화체육

Common Values

ValueCountFrequency (%)
산업+경제 138
19.2%
청소+환경 96
13.4%
사회복지 76
10.6%
민원 70
9.7%
건설+건축 66
9.2%
교통+자동차 54
 
7.5%
식품+위생 46
 
6.4%
보건+건강 45
 
6.3%
토지+부동산 45
 
6.3%
세무 38
 
5.3%
Other values (5) 45
 
6.3%

Length

2024-01-28T16:00:16.772727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
산업+경제 138
19.2%
청소+환경 96
13.4%
사회복지 76
10.6%
민원 70
9.7%
건설+건축 66
9.2%
교통+자동차 54
 
7.5%
식품+위생 46
 
6.4%
보건+건강 45
 
6.3%
토지+부동산 45
 
6.3%
세무 38
 
5.3%
Other values (5) 45
 
6.3%

부서
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
경제정책과
73 
민원봉사과
47 
식품산업위생과
 
46
토지정보과
 
45
생태하천과
 
43
Other values (32)
465 

Length

Max length8
Median length5
Mean length5.2684284
Min length3

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row식품산업위생과
2nd row민원봉사과
3rd row치매정신돌봄과
4th row공원녹지과
5th row문화관광체육과

Common Values

ValueCountFrequency (%)
경제정책과 73
 
10.2%
민원봉사과 47
 
6.5%
식품산업위생과 46
 
6.4%
토지정보과 45
 
6.3%
생태하천과 43
 
6.0%
보건행정과 38
 
5.3%
기후에너지정책과 34
 
4.7%
기업지원일자리과 31
 
4.3%
문화관광체육과 30
 
4.2%
노인복지과 29
 
4.0%
Other values (27) 303
42.1%

Length

2024-01-28T16:00:16.866245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경제정책과 73
 
10.2%
민원봉사과 47
 
6.5%
식품산업위생과 46
 
6.4%
토지정보과 45
 
6.3%
생태하천과 43
 
6.0%
보건행정과 38
 
5.3%
기후에너지정책과 34
 
4.7%
기업지원일자리과 31
 
4.3%
문화관광체육과 30
 
4.2%
차량민원과 29
 
4.0%
Other values (27) 303
42.1%

민원사무명
Text

Distinct718
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-01-28T16:00:17.072782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length16.650904
Min length4

Characters and Unicode

Total characters11972
Distinct characters324
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique717 ?
Unique (%)99.7%

Sample

1st row집단급식소 설치ㆍ운영자 지위승계 신고
2nd row국적취득자의 성·본 창설신고
3rd row발병초기 정신질환자 치료비 지원
4th row가로수 (제거+옮겨심기) 승인 신청서
5th row음반·음악영상물제작(배급)업 변경신고
ValueCountFrequency (%)
신청 135
 
6.3%
신고 125
 
5.9%
및 40
 
1.9%
변경 34
 
1.6%
변경신고 34
 
1.6%
등 27
 
1.3%
신청서 23
 
1.1%
등록 21
 
1.0%
설치 15
 
0.7%
15
 
0.7%
Other values (1068) 1667
78.0%
2024-01-28T16:00:17.409760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1417
 
11.8%
신 665
 
5.6%
고 406
 
3.4%
업 363
 
3.0%
청 300
 
2.5%
( 246
 
2.1%
) 246
 
2.1%
사 230
 
1.9%
가 205
 
1.7%
경 204
 
1.7%
Other values (314) 7690
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9738
81.3%
Space Separator 1417
 
11.8%
Open Punctuation 249
 
2.1%
Close Punctuation 249
 
2.1%
Math Symbol 185
 
1.5%
Other Punctuation 102
 
0.9%
Dash Punctuation 15
 
0.1%
Decimal Number 12
 
0.1%
Uppercase Letter 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 665
 
6.8%
고 406
 
4.2%
업 363
 
3.7%
청 300
 
3.1%
사 230
 
2.4%
가 205
 
2.1%
경 204
 
2.1%
지 200
 
2.1%
설 199
 
2.0%
등 197
 
2.0%
Other values (293) 6769
69.5%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
0 3
25.0%
1 2
 
16.7%
4 1
 
8.3%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 49
48.0%
· 44
43.1%
/ 6
 
5.9%
. 3
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
N 1
25.0%
E 1
25.0%
W 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 246
98.8%
[ 3
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 246
98.8%
] 3
 
1.2%
Space Separator
ValueCountFrequency (%)
1417
100.0%
Math Symbol
ValueCountFrequency (%)
+ 185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Modifier Symbol
ValueCountFrequency (%)
¸ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9738
81.3%
Common 2230
 
18.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 665
 
6.8%
고 406
 
4.2%
업 363
 
3.7%
청 300
 
3.1%
사 230
 
2.4%
가 205
 
2.1%
경 204
 
2.1%
지 200
 
2.1%
설 199
 
2.0%
등 197
 
2.0%
Other values (293) 6769
69.5%
Common
ValueCountFrequency (%)
1417
63.5%
( 246
 
11.0%
) 246
 
11.0%
+ 185
 
8.3%
, 49
 
2.2%
· 44
 
2.0%
- 15
 
0.7%
/ 6
 
0.3%
2 5
 
0.2%
] 3
 
0.1%
Other values (7) 14
 
0.6%
Latin
ValueCountFrequency (%)
F 1
25.0%
N 1
25.0%
E 1
25.0%
W 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9718
81.2%
ASCII 2189
 
18.3%
None 45
 
0.4%
Compat Jamo 20
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1417
64.7%
( 246
 
11.2%
) 246
 
11.2%
+ 185
 
8.5%
, 49
 
2.2%
- 15
 
0.7%
/ 6
 
0.3%
2 5
 
0.2%
] 3
 
0.1%
[ 3
 
0.1%
Other values (9) 14
 
0.6%
Hangul
ValueCountFrequency (%)
신 665
 
6.8%
고 406
 
4.2%
업 363
 
3.7%
청 300
 
3.1%
사 230
 
2.4%
가 205
 
2.1%
경 204
 
2.1%
지 200
 
2.1%
설 199
 
2.0%
등 197
 
2.0%
Other values (292) 6749
69.4%
None
ValueCountFrequency (%)
· 44
97.8%
¸ 1
 
2.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 20
100.0%

처리기한
Text

MISSING 

Distinct80
Distinct (%)11.7%
Missing37
Missing (%)5.1%
Memory size5.7 KiB
2024-01-28T16:00:17.595745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length2
Mean length3.4252199
Min length1

Characters and Unicode

Total characters2336
Distinct characters167
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)8.4%

Sample

1st row즉시
2nd row즉시
3rd row14일
4th row3일
5th row3일
ValueCountFrequency (%)
즉시 205
25.5%
7일 94
11.7%
3일 78
 
9.7%
10일 54
 
6.7%
5일 52
 
6.5%
30일 26
 
3.2%
4일 24
 
3.0%
15일 22
 
2.7%
14일 19
 
2.4%
19
 
2.4%
Other values (125) 211
26.2%
2024-01-28T16:00:17.885835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 496
21.2%
시 222
 
9.5%
즉 212
 
9.1%
0 132
 
5.7%
1 125
 
5.4%
122
 
5.2%
7 116
 
5.0%
3 115
 
4.9%
5 86
 
3.7%
4 55
 
2.4%
Other values (157) 655
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1386
59.3%
Decimal Number 697
29.8%
Space Separator 122
 
5.2%
Other Punctuation 46
 
2.0%
Math Symbol 45
 
1.9%
Open Punctuation 20
 
0.9%
Close Punctuation 20
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 496
35.8%
시 222
16.0%
즉 212
15.3%
신 19
 
1.4%
경 18
 
1.3%
업 17
 
1.2%
변 14
 
1.0%
내 12
 
0.9%
가 12
 
0.9%
고 12
 
0.9%
Other values (137) 352
25.4%
Decimal Number
ValueCountFrequency (%)
0 132
18.9%
1 125
17.9%
7 116
16.6%
3 115
16.5%
5 86
12.3%
4 55
7.9%
2 49
 
7.0%
6 13
 
1.9%
8 4
 
0.6%
9 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 39
84.8%
/ 3
 
6.5%
, 2
 
4.3%
· 1
 
2.2%
. 1
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 39
86.7%
~ 6
 
13.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1386
59.3%
Common 950
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 496
35.8%
시 222
16.0%
즉 212
15.3%
신 19
 
1.4%
경 18
 
1.3%
업 17
 
1.2%
변 14
 
1.0%
내 12
 
0.9%
가 12
 
0.9%
고 12
 
0.9%
Other values (137) 352
25.4%
Common
ValueCountFrequency (%)
0 132
13.9%
1 125
13.2%
122
12.8%
7 116
12.2%
3 115
12.1%
5 86
9.1%
4 55
5.8%
2 49
 
5.2%
+ 39
 
4.1%
: 39
 
4.1%
Other values (10) 72
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
59.0%
ASCII 949
40.6%
Compat Jamo 7
 
0.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 496
36.0%
시 222
16.1%
즉 212
15.4%
신 19
 
1.4%
경 18
 
1.3%
업 17
 
1.2%
변 14
 
1.0%
내 12
 
0.9%
가 12
 
0.9%
고 12
 
0.9%
Other values (136) 345
25.0%
ASCII
ValueCountFrequency (%)
0 132
13.9%
1 125
13.2%
122
12.9%
7 116
12.2%
3 115
12.1%
5 86
9.1%
4 55
5.8%
2 49
 
5.2%
+ 39
 
4.1%
: 39
 
4.1%
Other values (9) 71
7.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-07-31
719 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 719
100.0%

Length

2024-01-28T16:00:17.991453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:00:18.063493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 719
100.0%

Interactions

2024-01-28T16:00:16.298156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:00:18.116368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사무구분부서처리기한
연번1.0000.8080.8710.531
사무구분0.8081.0000.9970.711
부서0.8710.9971.0000.888
처리기한0.5310.7110.8881.000
2024-01-28T16:00:18.187683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무구분부서
사무구분1.0000.942
부서0.9421.000
2024-01-28T16:00:18.256799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사무구분부서
연번1.0000.4580.526
사무구분0.4581.0000.942
부서0.5260.9421.000

Missing values

2024-01-28T16:00:16.394504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:00:16.472559image/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

연번사무구분부서민원사무명처리기한데이터기준일자
01식품+위생식품산업위생과집단급식소 설치ㆍ운영자 지위승계 신고즉시2023-07-31
12민원민원봉사과국적취득자의 성·본 창설신고즉시2023-07-31
23보건+건강치매정신돌봄과발병초기 정신질환자 치료비 지원<NA>2023-07-31
34청소+환경공원녹지과가로수 (제거+옮겨심기) 승인 신청서14일2023-07-31
45문화체육문화관광체육과음반·음악영상물제작(배급)업 변경신고3일2023-07-31
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