Overview

Dataset statistics

Number of variables5
Number of observations82
Missing cells20
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory42.6 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구 공공기관에 대한 데이터입니다.기관명, 도로명주소, 전화번호 등의 항목을 제공하고 있습니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15088447

Alerts

도로명주소 has 3 (3.7%) missing valuesMissing
전화번호 has 17 (20.7%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:05:27.511768
Analysis finished2024-01-28 13:05:28.302160
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-01-28T22:05:28.366087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2024-01-28T22:05:28.484308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

상호명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-01-28T22:05:28.686263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length10.682927
Min length5

Characters and Unicode

Total characters876
Distinct characters149
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row인천지방검찰청
2nd row인천미추홀경찰서
3rd row인하대학교용현캠퍼스우편취급국
4th row중부지방고용노동청
5th row인천병무지청
ValueCountFrequency (%)
인천미추홀경찰서 3
 
3.2%
인천병무지청 2
 
2.1%
인천지방법원우체국atm점내 1
 
1.1%
인청광역시궁도협회 1
 
1.1%
인천지방해양안전심판원 1
 
1.1%
주안7동예비군동대 1
 
1.1%
미추홀소방서관교119안전센터 1
 
1.1%
인천미추홀소방서숭의119안전센터 1
 
1.1%
주안8예비군동대 1
 
1.1%
신기119안전센터 1
 
1.1%
Other values (82) 82
86.3%
2024-01-28T22:05:29.015286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 42
 
4.8%
동 42
 
4.8%
천 35
 
4.0%
안 28
 
3.2%
국 25
 
2.9%
우 24
 
2.7%
대 21
 
2.4%
1 19
 
2.2%
센 19
 
2.2%
터 19
 
2.2%
Other values (139) 602
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
89.5%
Decimal Number 54
 
6.2%
Uppercase Letter 24
 
2.7%
Space Separator 13
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 42
 
5.4%
동 42
 
5.4%
천 35
 
4.5%
안 28
 
3.6%
국 25
 
3.2%
우 24
 
3.1%
대 21
 
2.7%
센 19
 
2.4%
터 19
 
2.4%
지 18
 
2.3%
Other values (125) 511
65.2%
Decimal Number
ValueCountFrequency (%)
1 19
35.2%
9 7
 
13.0%
3 7
 
13.0%
5 6
 
11.1%
2 5
 
9.3%
6 4
 
7.4%
4 3
 
5.6%
8 2
 
3.7%
7 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
M 8
33.3%
T 8
33.3%
A 8
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
89.5%
Common 68
 
7.8%
Latin 24
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 42
 
5.4%
동 42
 
5.4%
천 35
 
4.5%
안 28
 
3.6%
국 25
 
3.2%
우 24
 
3.1%
대 21
 
2.7%
센 19
 
2.4%
터 19
 
2.4%
지 18
 
2.3%
Other values (125) 511
65.2%
Common
ValueCountFrequency (%)
1 19
27.9%
13
19.1%
9 7
 
10.3%
3 7
 
10.3%
5 6
 
8.8%
2 5
 
7.4%
6 4
 
5.9%
4 3
 
4.4%
8 2
 
2.9%
, 1
 
1.5%
Latin
ValueCountFrequency (%)
M 8
33.3%
T 8
33.3%
A 8
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 784
89.5%
ASCII 92
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 42
 
5.4%
동 42
 
5.4%
천 35
 
4.5%
안 28
 
3.6%
국 25
 
3.2%
우 24
 
3.1%
대 21
 
2.7%
센 19
 
2.4%
터 19
 
2.4%
지 18
 
2.3%
Other values (125) 511
65.2%
ASCII
ValueCountFrequency (%)
1 19
20.7%
13
14.1%
M 8
8.7%
T 8
8.7%
A 8
8.7%
9 7
 
7.6%
3 7
 
7.6%
5 6
 
6.5%
2 5
 
5.4%
6 4
 
4.3%
Other values (4) 7
 
7.6%

지번주소
Text

Distinct69
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-01-28T22:05:29.223267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length21.560976
Min length16

Characters and Unicode

Total characters1768
Distinct characters80
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

Unique61 ?
Unique (%)74.4%

Sample

1st row인천광역시 미추홀구 학익동 278-1
2nd row인천광역시 미추홀구 학익동 489-2
3rd row인천광역시 미추홀구 학익동 253-3 253,
4th row인천광역시 미추홀구 도화동 1001 정부인천지방합동청사 2~4층
5th row인천광역시 미추홀구 학익동 545-1
ValueCountFrequency (%)
인천광역시 82
23.5%
미추홀구 82
23.5%
주안동 18
 
5.2%
학익동 16
 
4.6%
도화동 14
 
4.0%
숭의동 11
 
3.2%
용현동 9
 
2.6%
문학동 6
 
1.7%
1001 6
 
1.7%
385-4 3
 
0.9%
Other values (83) 102
29.2%
2024-01-28T22:05:29.526600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
15.3%
인 86
 
4.9%
천 86
 
4.9%
동 85
 
4.8%
역 84
 
4.8%
광 82
 
4.6%
시 82
 
4.6%
미 82
 
4.6%
추 82
 
4.6%
홀 82
 
4.6%
Other values (70) 747
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1078
61.0%
Decimal Number 352
 
19.9%
Space Separator 270
 
15.3%
Dash Punctuation 66
 
3.7%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 86
 
8.0%
천 86
 
8.0%
동 85
 
7.9%
역 84
 
7.8%
광 82
 
7.6%
시 82
 
7.6%
미 82
 
7.6%
추 82
 
7.6%
홀 82
 
7.6%
구 82
 
7.6%
Other values (56) 245
22.7%
Decimal Number
ValueCountFrequency (%)
1 76
21.6%
2 43
12.2%
5 40
11.4%
3 39
11.1%
4 36
10.2%
8 31
8.8%
0 31
8.8%
6 27
 
7.7%
7 15
 
4.3%
9 14
 
4.0%
Space Separator
ValueCountFrequency (%)
270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1078
61.0%
Common 690
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 86
 
8.0%
천 86
 
8.0%
동 85
 
7.9%
역 84
 
7.8%
광 82
 
7.6%
시 82
 
7.6%
미 82
 
7.6%
추 82
 
7.6%
홀 82
 
7.6%
구 82
 
7.6%
Other values (56) 245
22.7%
Common
ValueCountFrequency (%)
270
39.1%
1 76
 
11.0%
- 66
 
9.6%
2 43
 
6.2%
5 40
 
5.8%
3 39
 
5.7%
4 36
 
5.2%
8 31
 
4.5%
0 31
 
4.5%
6 27
 
3.9%
Other values (4) 31
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1078
61.0%
ASCII 690
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
39.1%
1 76
 
11.0%
- 66
 
9.6%
2 43
 
6.2%
5 40
 
5.8%
3 39
 
5.7%
4 36
 
5.2%
8 31
 
4.5%
0 31
 
4.5%
6 27
 
3.9%
Other values (4) 31
 
4.5%
Hangul
ValueCountFrequency (%)
인 86
 
8.0%
천 86
 
8.0%
동 85
 
7.9%
역 84
 
7.8%
광 82
 
7.6%
시 82
 
7.6%
미 82
 
7.6%
추 82
 
7.6%
홀 82
 
7.6%
구 82
 
7.6%
Other values (56) 245
22.7%

도로명주소
Text

MISSING 

Distinct74
Distinct (%)93.7%
Missing3
Missing (%)3.7%
Memory size788.0 B
2024-01-28T22:05:29.698020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length23.670886
Min length16

Characters and Unicode

Total characters1870
Distinct characters134
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)87.3%

Sample

1st row인천광역시 미추홀구 소성로163번길 49 인천지방검찰청
2nd row인천광역시 미추홀구 매소홀로290번길 32 인천미추홀경찰서
3rd row인천광역시 미추홀구 인하로 100
4th row인천광역시 미추홀구 석정로 239
5th row인천광역시 미추홀구 노적산로 76 인천지방병무청징병검사장
ValueCountFrequency (%)
인천광역시 79
21.6%
미추홀구 79
21.6%
석정로 10
 
2.7%
인하로 9
 
2.5%
239 6
 
1.6%
한나루로 5
 
1.4%
소성로 5
 
1.4%
32 5
 
1.4%
20 4
 
1.1%
1층 4
 
1.1%
Other values (122) 159
43.6%
2024-01-28T22:05:29.987601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
15.3%
인 117
 
6.3%
천 93
 
5.0%
홀 86
 
4.6%
역 82
 
4.4%
미 82
 
4.4%
추 82
 
4.4%
시 80
 
4.3%
구 80
 
4.3%
광 80
 
4.3%
Other values (124) 802
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1275
68.2%
Space Separator 286
 
15.3%
Decimal Number 286
 
15.3%
Dash Punctuation 7
 
0.4%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Uppercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 117
 
9.2%
천 93
 
7.3%
홀 86
 
6.7%
역 82
 
6.4%
미 82
 
6.4%
추 82
 
6.4%
시 80
 
6.3%
구 80
 
6.3%
광 80
 
6.3%
로 77
 
6.0%
Other values (106) 416
32.6%
Decimal Number
ValueCountFrequency (%)
2 48
16.8%
3 44
15.4%
1 37
12.9%
4 36
12.6%
0 28
9.8%
6 24
8.4%
9 23
8.0%
7 19
 
6.6%
8 14
 
4.9%
5 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1275
68.2%
Common 592
31.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 117
 
9.2%
천 93
 
7.3%
홀 86
 
6.7%
역 82
 
6.4%
미 82
 
6.4%
추 82
 
6.4%
시 80
 
6.3%
구 80
 
6.3%
광 80
 
6.3%
로 77
 
6.0%
Other values (106) 416
32.6%
Common
ValueCountFrequency (%)
286
48.3%
2 48
 
8.1%
3 44
 
7.4%
1 37
 
6.2%
4 36
 
6.1%
0 28
 
4.7%
6 24
 
4.1%
9 23
 
3.9%
7 19
 
3.2%
8 14
 
2.4%
Other values (5) 33
 
5.6%
Latin
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1275
68.2%
ASCII 595
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
48.1%
2 48
 
8.1%
3 44
 
7.4%
1 37
 
6.2%
4 36
 
6.1%
0 28
 
4.7%
6 24
 
4.0%
9 23
 
3.9%
7 19
 
3.2%
8 14
 
2.4%
Other values (8) 36
 
6.1%
Hangul
ValueCountFrequency (%)
인 117
 
9.2%
천 93
 
7.3%
홀 86
 
6.7%
역 82
 
6.4%
미 82
 
6.4%
추 82
 
6.4%
시 80
 
6.3%
구 80
 
6.3%
광 80
 
6.3%
로 77
 
6.0%
Other values (106) 416
32.6%

전화번호
Text

MISSING 

Distinct65
Distinct (%)100.0%
Missing17
Missing (%)20.7%
Memory size788.0 B
2024-01-28T22:05:30.205961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.584615
Min length3

Characters and Unicode

Total characters753
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row1301
2nd row182
3rd row032-860-8867
4th row032-460-4545
5th row1588-9090
ValueCountFrequency (%)
032-867-6100 1
 
1.5%
032-865-0119 1
 
1.5%
032-865-8113 1
 
1.5%
032-882-1134 1
 
1.5%
032-717-9153 1
 
1.5%
032-424-5113 1
 
1.5%
032-717-9334 1
 
1.5%
032-876-5858 1
 
1.5%
032-588-4200 1
 
1.5%
032-435-0119 1
 
1.5%
Other values (55) 55
84.6%
2024-01-28T22:05:30.537578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 123
16.3%
2 105
13.9%
0 104
13.8%
3 98
13.0%
1 85
11.3%
8 70
9.3%
7 40
 
5.3%
4 38
 
5.0%
5 37
 
4.9%
6 29
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.7%
Dash Punctuation 123
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 105
16.7%
0 104
16.5%
3 98
15.6%
1 85
13.5%
8 70
11.1%
7 40
 
6.3%
4 38
 
6.0%
5 37
 
5.9%
6 29
 
4.6%
9 24
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 123
16.3%
2 105
13.9%
0 104
13.8%
3 98
13.0%
1 85
11.3%
8 70
9.3%
7 40
 
5.3%
4 38
 
5.0%
5 37
 
4.9%
6 29
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 123
16.3%
2 105
13.9%
0 104
13.8%
3 98
13.0%
1 85
11.3%
8 70
9.3%
7 40
 
5.3%
4 38
 
5.0%
5 37
 
4.9%
6 29
 
3.9%

Interactions

2024-01-28T22:05:28.002386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:05:30.624864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0000.0000.7131.000
상호명1.0001.0001.0001.0001.000
지번주소0.0001.0001.0000.9981.000
도로명주소0.7131.0000.9981.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-01-28T22:05:28.104583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:05:28.182501image/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.
2024-01-28T22:05:28.262551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호명지번주소도로명주소전화번호
01인천지방검찰청인천광역시 미추홀구 학익동 278-1인천광역시 미추홀구 소성로163번길 49 인천지방검찰청1301
12인천미추홀경찰서인천광역시 미추홀구 학익동 489-2인천광역시 미추홀구 매소홀로290번길 32 인천미추홀경찰서182
23인하대학교용현캠퍼스우편취급국인천광역시 미추홀구 학익동 253-3 253,인천광역시 미추홀구 인하로 100032-860-8867
34중부지방고용노동청인천광역시 미추홀구 도화동 1001 정부인천지방합동청사 2~4층인천광역시 미추홀구 석정로 239032-460-4545
45인천병무지청인천광역시 미추홀구 학익동 545-1인천광역시 미추홀구 노적산로 76 인천지방병무청징병검사장1588-9090
56인천보훈지청인천광역시 미추홀구 도화동 1001인천광역시 미추홀구 석정로 239 정부인천합동청사 1층032-588-4100
67인천세무서별관인천광역시 미추홀구 숭의동 406-6인천광역시 미추홀구 인중로 22 용운빌딩 2층<NA>
78주안4동우편취급국인천광역시 미추홀구 주안동 302-21인천광역시 미추홀구 경인로 418032-427-6220
89주안8동우편취급국인천광역시 미추홀구 주안동 1571-25 인천주안8동우편취급국인천광역시 미추홀구 인하로 383 인천주안8동우편취급국032-435-5162
910인천보호관찰소인천광역시 미추홀구 학익동 6-63인천광역시 미추홀구 학익소로 13032-872-1071
연번상호명지번주소도로명주소전화번호
7273용현5동예비군동대인천광역시 미추홀구 용현동 611-6인천광역시 미추홀구 토금북로 60032-888-1137
7374인천사회적기업인천광역시 미추홀구 도화동 76-16인천광역시 미추홀구 석정로 229 JST제물포스마트타운 13층032-442-3381
7475도화1예비군동대인천광역시 미추홀구 도화동 391-1<NA>032-867-0113
7576학익1동예비군동대인천광역시 미추홀구 학익동 689-10인천광역시 미추홀구 매소홀로 380032-875-1134
7677주안2동예비군동대인천광역시 미추홀구 주안동 594-4인천광역시 미추홀구 남주길43번길 14-29032-865-2112
7778도화3동예비군동대인천광역시 미추홀구 도화동 805인천광역시 미추홀구 염전로202번길 49032-874-7113
7879용현1,4동예비군동대인천광역시 미추홀구 용현동 140-10인천광역시 미추홀구 인주대로 198032-867-1134
7980국제식물검역인증원 인천사무소인천광역시 미추홀구 용현동 630-7 넥스빌 402호인천광역시 미추홀구 아암대로 101 넥스빌 402호032-886-9901
8081옹진농업기술센터 농업지원과인천광역시 미추홀구 용현5동 627-608인천광역시 미추홀구 매소홀로 120032-899-3210
8182예비군숭의동대인천광역시 미추홀구 숭의동 190-4인천광역시 미추홀구 경인로34번길 20032-888-1126