Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells19
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구에 위치한 사진관에 대한 데이터입니다.상호명, 지번주소, 도로명주소, 전화번호 등의 정보를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087026&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 19 (19.0%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:40:08.992042
Analysis finished2024-01-28 07:40:09.908228
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T16:40:09.965065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-01-28T16:40:10.088586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

상호명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-28T16:40:10.288670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.97
Min length3

Characters and Unicode

Total characters797
Distinct characters204
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

Unique100 ?
Unique (%)100.0%

Sample

1st row레인스튜디오
2nd row또나스튜디오
3rd row미가스튜디오
4th row인천사진관 문화칼라
5th row팝콘스튜디오 인천점
ValueCountFrequency (%)
스튜디오 12
 
8.0%
인하대점 5
 
3.3%
인천점 4
 
2.7%
포토그레이 2
 
1.3%
렌탈스튜디오 2
 
1.3%
포토이즘박스 2
 
1.3%
주안점 2
 
1.3%
사진관 2
 
1.3%
미추홀구청앞 2
 
1.3%
아이풍경 1
 
0.7%
Other values (116) 116
77.3%
2024-01-28T16:40:10.602955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 62
 
7.8%
50
 
6.3%
디 45
 
5.6%
오 45
 
5.6%
튜 43
 
5.4%
사 30
 
3.8%
진 30
 
3.8%
관 24
 
3.0%
점 20
 
2.5%
포 17
 
2.1%
Other values (194) 431
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 739
92.7%
Space Separator 50
 
6.3%
Decimal Number 4
 
0.5%
Uppercase Letter 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 62
 
8.4%
디 45
 
6.1%
오 45
 
6.1%
튜 43
 
5.8%
사 30
 
4.1%
진 30
 
4.1%
관 24
 
3.2%
점 20
 
2.7%
포 17
 
2.3%
인 17
 
2.3%
Other values (185) 406
54.9%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 739
92.7%
Common 55
 
6.9%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 62
 
8.4%
디 45
 
6.1%
오 45
 
6.1%
튜 43
 
5.8%
사 30
 
4.1%
진 30
 
4.1%
관 24
 
3.2%
점 20
 
2.7%
포 17
 
2.3%
인 17
 
2.3%
Other values (185) 406
54.9%
Common
ValueCountFrequency (%)
50
90.9%
& 1
 
1.8%
1 1
 
1.8%
0 1
 
1.8%
4 1
 
1.8%
3 1
 
1.8%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 739
92.7%
ASCII 58
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 62
 
8.4%
디 45
 
6.1%
오 45
 
6.1%
튜 43
 
5.8%
사 30
 
4.1%
진 30
 
4.1%
관 24
 
3.2%
점 20
 
2.7%
포 17
 
2.3%
인 17
 
2.3%
Other values (185) 406
54.9%
ASCII
ValueCountFrequency (%)
50
86.2%
& 1
 
1.7%
S 1
 
1.7%
B 1
 
1.7%
J 1
 
1.7%
1 1
 
1.7%
0 1
 
1.7%
4 1
 
1.7%
3 1
 
1.7%

지번주소
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-28T16:40:10.919865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length25.9
Min length17

Characters and Unicode

Total characters2590
Distinct characters112
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

Unique96 ?
Unique (%)96.0%

Sample

1st row인천광역시 미추홀구 주안동 231-11 주안역 지하상가 46, 47호 레인스튜디오
2nd row인천광역시 미추홀구 주안동 140-3 2층
3rd row인천광역시 미추홀구 주안동 1467 2층
4th row인천광역시 미추홀구 주안동 141-6
5th row인천광역시 미추홀구 용현동 182-2
ValueCountFrequency (%)
인천광역시 100
19.0%
미추홀구 100
19.0%
주안동 37
 
7.0%
용현동 17
 
3.2%
1층 16
 
3.0%
도화동 15
 
2.9%
2층 13
 
2.5%
학익동 12
 
2.3%
숭의동 11
 
2.1%
401-58 6
 
1.1%
Other values (169) 199
37.8%
2024-01-28T16:40:11.380917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
426
 
16.4%
1 142
 
5.5%
동 107
 
4.1%
시 106
 
4.1%
인 102
 
3.9%
역 102
 
3.9%
광 101
 
3.9%
구 100
 
3.9%
홀 100
 
3.9%
천 100
 
3.9%
Other values (102) 1204
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1471
56.8%
Decimal Number 579
 
22.4%
Space Separator 426
 
16.4%
Dash Punctuation 94
 
3.6%
Uppercase Letter 12
 
0.5%
Other Punctuation 6
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 107
 
7.3%
시 106
 
7.2%
인 102
 
6.9%
역 102
 
6.9%
광 101
 
6.9%
구 100
 
6.8%
홀 100
 
6.8%
천 100
 
6.8%
추 100
 
6.8%
미 100
 
6.8%
Other values (82) 453
30.8%
Decimal Number
ValueCountFrequency (%)
1 142
24.5%
2 66
11.4%
0 61
10.5%
5 60
10.4%
4 57
9.8%
3 47
 
8.1%
7 37
 
6.4%
8 37
 
6.4%
6 37
 
6.4%
9 35
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
F 4
33.3%
A 1
 
8.3%
L 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1471
56.8%
Common 1107
42.7%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 107
 
7.3%
시 106
 
7.2%
인 102
 
6.9%
역 102
 
6.9%
광 101
 
6.9%
구 100
 
6.8%
홀 100
 
6.8%
천 100
 
6.8%
추 100
 
6.8%
미 100
 
6.8%
Other values (82) 453
30.8%
Common
ValueCountFrequency (%)
426
38.5%
1 142
 
12.8%
- 94
 
8.5%
2 66
 
6.0%
0 61
 
5.5%
5 60
 
5.4%
4 57
 
5.1%
3 47
 
4.2%
7 37
 
3.3%
8 37
 
3.3%
Other values (6) 80
 
7.2%
Latin
ValueCountFrequency (%)
B 6
50.0%
F 4
33.3%
A 1
 
8.3%
L 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1471
56.8%
ASCII 1119
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
426
38.1%
1 142
 
12.7%
- 94
 
8.4%
2 66
 
5.9%
0 61
 
5.5%
5 60
 
5.4%
4 57
 
5.1%
3 47
 
4.2%
7 37
 
3.3%
8 37
 
3.3%
Other values (10) 92
 
8.2%
Hangul
ValueCountFrequency (%)
동 107
 
7.3%
시 106
 
7.2%
인 102
 
6.9%
역 102
 
6.9%
광 101
 
6.9%
구 100
 
6.8%
홀 100
 
6.8%
천 100
 
6.8%
추 100
 
6.8%
미 100
 
6.8%
Other values (82) 453
30.8%

도로명주소
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-01-28T16:40:11.674416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length25.53
Min length17

Characters and Unicode

Total characters2553
Distinct characters146
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

Unique94 ?
Unique (%)94.0%

Sample

1st row인천광역시 미추홀구 주안로 86 주안역 지하상가 46, 47호 레인스튜디오
2nd row인천광역시 미추홀구 주안로 102 2층
3rd row인천광역시 미추홀구 미추홀대로 594 2층
4th row인천광역시 미추홀구 미추홀대로 742
5th row인천광역시 미추홀구 인하로77번길 18
ValueCountFrequency (%)
인천광역시 100
 
18.7%
미추홀구 100
 
18.7%
1층 17
 
3.2%
2층 12
 
2.2%
경인로 10
 
1.9%
미추홀대로 9
 
1.7%
매소홀로 9
 
1.7%
주안로 8
 
1.5%
262 7
 
1.3%
석정로 6
 
1.1%
Other values (200) 258
48.1%
2024-01-28T16:40:12.069892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
17.1%
인 127
 
5.0%
홀 121
 
4.7%
미 112
 
4.4%
추 112
 
4.4%
시 107
 
4.2%
역 102
 
4.0%
1 102
 
4.0%
광 101
 
4.0%
구 101
 
4.0%
Other values (136) 1132
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1618
63.4%
Decimal Number 464
 
18.2%
Space Separator 436
 
17.1%
Dash Punctuation 16
 
0.6%
Uppercase Letter 11
 
0.4%
Other Punctuation 6
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 127
 
7.8%
홀 121
 
7.5%
미 112
 
6.9%
추 112
 
6.9%
시 107
 
6.6%
역 102
 
6.3%
광 101
 
6.2%
구 101
 
6.2%
천 101
 
6.2%
로 94
 
5.8%
Other values (117) 540
33.4%
Decimal Number
ValueCountFrequency (%)
1 102
22.0%
2 85
18.3%
0 46
9.9%
5 44
9.5%
7 39
 
8.4%
4 38
 
8.2%
3 34
 
7.3%
6 33
 
7.1%
8 25
 
5.4%
9 18
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
F 3
27.3%
A 1
 
9.1%
L 1
 
9.1%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1618
63.4%
Common 924
36.2%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 127
 
7.8%
홀 121
 
7.5%
미 112
 
6.9%
추 112
 
6.9%
시 107
 
6.6%
역 102
 
6.3%
광 101
 
6.2%
구 101
 
6.2%
천 101
 
6.2%
로 94
 
5.8%
Other values (117) 540
33.4%
Common
ValueCountFrequency (%)
436
47.2%
1 102
 
11.0%
2 85
 
9.2%
0 46
 
5.0%
5 44
 
4.8%
7 39
 
4.2%
4 38
 
4.1%
3 34
 
3.7%
6 33
 
3.6%
8 25
 
2.7%
Other values (5) 42
 
4.5%
Latin
ValueCountFrequency (%)
B 6
54.5%
F 3
27.3%
A 1
 
9.1%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1618
63.4%
ASCII 935
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
46.6%
1 102
 
10.9%
2 85
 
9.1%
0 46
 
4.9%
5 44
 
4.7%
7 39
 
4.2%
4 38
 
4.1%
3 34
 
3.6%
6 33
 
3.5%
8 25
 
2.7%
Other values (9) 53
 
5.7%
Hangul
ValueCountFrequency (%)
인 127
 
7.8%
홀 121
 
7.5%
미 112
 
6.9%
추 112
 
6.9%
시 107
 
6.6%
역 102
 
6.3%
광 101
 
6.2%
구 101
 
6.2%
천 101
 
6.2%
로 94
 
5.8%
Other values (117) 540
33.4%

전화번호
Text

MISSING 

Distinct81
Distinct (%)100.0%
Missing19
Missing (%)19.0%
Memory size932.0 B
2024-01-28T16:40:12.272997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.222222
Min length9

Characters and Unicode

Total characters1071
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

Unique81 ?
Unique (%)100.0%

Sample

1st row032-864-5705
2nd row0507-1487-0192
3rd row1644-3936
4th row0507-1402-2357
5th row032-875-4788
ValueCountFrequency (%)
0507-1376-3845 1
 
1.2%
0507-1398-1504 1
 
1.2%
0507-1420-7678 1
 
1.2%
0507-1333-8745 1
 
1.2%
0507-1378-3315 1
 
1.2%
032-885-6668 1
 
1.2%
0507-1340-2973 1
 
1.2%
0507-1359-1636 1
 
1.2%
0507-1363-0716 1
 
1.2%
032-881-1716 1
 
1.2%
Other values (71) 71
87.7%
2024-01-28T16:40:12.577898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 181
16.9%
- 160
14.9%
3 119
11.1%
7 115
10.7%
5 113
10.6%
1 96
9.0%
8 71
 
6.6%
2 67
 
6.3%
6 57
 
5.3%
4 54
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 911
85.1%
Dash Punctuation 160
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
19.9%
3 119
13.1%
7 115
12.6%
5 113
12.4%
1 96
10.5%
8 71
 
7.8%
2 67
 
7.4%
6 57
 
6.3%
4 54
 
5.9%
9 38
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1071
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 181
16.9%
- 160
14.9%
3 119
11.1%
7 115
10.7%
5 113
10.6%
1 96
9.0%
8 71
 
6.6%
2 67
 
6.3%
6 57
 
5.3%
4 54
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 181
16.9%
- 160
14.9%
3 119
11.1%
7 115
10.7%
5 113
10.6%
1 96
9.0%
8 71
 
6.6%
2 67
 
6.3%
6 57
 
5.3%
4 54
 
5.0%

Interactions

2024-01-28T16:40:09.726212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:40:12.668502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0000.8700.7991.000
상호명1.0001.0001.0001.0001.000
지번주소0.8701.0001.0000.9991.000
도로명주소0.7991.0000.9991.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-01-28T16:40:09.807847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:40:09.880359image/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

연번상호명지번주소도로명주소전화번호
01레인스튜디오인천광역시 미추홀구 주안동 231-11 주안역 지하상가 46, 47호 레인스튜디오인천광역시 미추홀구 주안로 86 주안역 지하상가 46, 47호 레인스튜디오032-864-5705
12또나스튜디오인천광역시 미추홀구 주안동 140-3 2층인천광역시 미추홀구 주안로 102 2층0507-1487-0192
23미가스튜디오인천광역시 미추홀구 주안동 1467 2층인천광역시 미추홀구 미추홀대로 594 2층1644-3936
34인천사진관 문화칼라인천광역시 미추홀구 주안동 141-6인천광역시 미추홀구 미추홀대로 7420507-1402-2357
45팝콘스튜디오 인천점인천광역시 미추홀구 용현동 182-2인천광역시 미추홀구 인하로77번길 18032-875-4788
56내일사진관인천광역시 미추홀구 학익동 244-10 보배빌딩 5층인천광역시 미추홀구 소성로 183-11 보배빌딩 5층<NA>
67코닥 홈플러스 인하점인천광역시 미추홀구 용현동 648 홈플러스 인하점 지하1층인천광역시 미추홀구 소성로 6 홈플러스 인하점 지하1층0507-1337-9312
78미추홀구청앞 세븐스튜디오인천광역시 미추홀구 숭의동 173-38 1층 세븐스튜디오인천광역시 미추홀구 독정이로 94 1층 세븐스튜디오0507-1418-8874
89더프레젠트 스튜디오인천광역시 미추홀구 학익동 401-58 시티필드 8층 8022호인천광역시 미추홀구 매소홀로 262 시티필드 8층 8022호0507-1369-2805
910나의사진관인천광역시 미추홀구 주안동 241-8 2층 1호인천광역시 미추홀구 주안로 75 2층 1호<NA>
연번상호명지번주소도로명주소전화번호
9091손만익스튜디오인천광역시 미추홀구 관교동 15인천광역시 미추홀구 연남로 35<NA>
9192코닥사진관인천광역시 미추홀구 주안동 917-6인천광역시 미추홀구 경원대로852번길 87<NA>
9293용현사진관인천광역시 미추홀구 숭의동 293-19인천광역시 미추홀구 독배로432번길 3<NA>
9394전슈J스튜디오인천광역시 미추홀구 학익동 산81-4 1층인천광역시 미추홀구 햇골길1번길 51-6 1층0507-1354-0736
9495홀릭스냅인천광역시 미추홀구 주안동 684-5인천광역시 미추홀구 한나루로 521<NA>
9596헤이다스튜디오인천광역시 미추홀구 도화동 619-5 도화프라임 501호인천광역시 미추홀구 경인로 191 도화프라임 501호<NA>
9697라피네스튜디오인천광역시 미추홀구 주안2동 481-1 대송빌딩 5층인천광역시 미추홀구 미추홀대로657번길 1 대송 메디컬센터070-4036-8180
9798클아이포토 주안점인천광역시 미추홀구 주안5동 30-2인천광역시 미추홀구 염창로 68<NA>
9899태민스튜디오인천광역시 미추홀구 주안동 3-43 3층인천광역시 미추홀구 주염로 79 3층<NA>
99100볼레옹공방인천광역시 미추홀구 주안동 184-10인천광역시 미추홀구 경인로 367032-888-0888