Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells8
Missing cells (%)1.6%
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 미추홀구의 축산품 취급업소에 대한 데이터로 상호명, 도로명주소, 전화번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15087074/fileData.do

Alerts

전화번호 has 8 (8.0%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:58:47.438812
Analysis finished2023-12-12 01:58:48.771733
Duration1.33 second
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
2023-12-12T10:58:48.858072image/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
2023-12-12T10:58:49.031121image/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

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T10:58:49.313989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.4
Min length3

Characters and Unicode

Total characters640
Distinct characters161
Distinct categories3 ?
Distinct scripts2 ?
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 row두총각네축산 도화점
2nd row친절축산
3rd row정육점우리가족고기집
4th row성민축산
5th row우가돈정육점
ValueCountFrequency (%)
두총각네축산 4
 
3.3%
정육점 3
 
2.4%
팔팔축산 2
 
1.6%
도화점 2
 
1.6%
황토축산물도매센타 2
 
1.6%
용현점 2
 
1.6%
참착한총각네축산 2
 
1.6%
한우마을 2
 
1.6%
친절축산 2
 
1.6%
인천점 2
 
1.6%
Other values (100) 100
81.3%
2023-12-12T10:58:49.819505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 48
 
7.5%
축 44
 
6.9%
산 44
 
6.9%
육 35
 
5.5%
정 33
 
5.2%
23
 
3.6%
한 22
 
3.4%
우 19
 
3.0%
네 12
 
1.9%
고 10
 
1.6%
Other values (151) 350
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
95.9%
Space Separator 23
 
3.6%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 48
 
7.8%
축 44
 
7.2%
산 44
 
7.2%
육 35
 
5.7%
정 33
 
5.4%
한 22
 
3.6%
우 19
 
3.1%
네 12
 
2.0%
고 10
 
1.6%
도 8
 
1.3%
Other values (147) 339
55.2%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
7 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
95.9%
Common 26
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 48
 
7.8%
축 44
 
7.2%
산 44
 
7.2%
육 35
 
5.7%
정 33
 
5.4%
한 22
 
3.6%
우 19
 
3.1%
네 12
 
2.0%
고 10
 
1.6%
도 8
 
1.3%
Other values (147) 339
55.2%
Common
ValueCountFrequency (%)
23
88.5%
8 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
95.9%
ASCII 26
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 48
 
7.8%
축 44
 
7.2%
산 44
 
7.2%
육 35
 
5.7%
정 33
 
5.4%
한 22
 
3.6%
우 19
 
3.1%
네 12
 
2.0%
고 10
 
1.6%
도 8
 
1.3%
Other values (147) 339
55.2%
ASCII
ValueCountFrequency (%)
23
88.5%
8 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%

지번주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T10:58:50.152685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length23.65
Min length14

Characters and Unicode

Total characters2365
Distinct characters109
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

Unique100 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 도화동 1006-8
2nd row인천광역시 미추홀구 주안동 1341-54
3rd row인천광역시 미추홀구 주안동 453-5 우리가족고기집 정육점
4th row인천광역시 미추홀구 용현동 664 상가 A-3동 103호
5th row인천광역시 미추홀구 도화동 1005-6 우가돈 정육점
ValueCountFrequency (%)
인천광역시 100
21.5%
미추홀구 100
21.5%
주안동 37
 
7.9%
용현동 27
 
5.8%
1층 18
 
3.9%
도화동 10
 
2.1%
숭의동 9
 
1.9%
학익동 8
 
1.7%
관교동 5
 
1.1%
664 3
 
0.6%
Other values (139) 149
32.0%
2023-12-12T10:58:50.673692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
370
 
15.6%
1 135
 
5.7%
동 106
 
4.5%
광 101
 
4.3%
시 101
 
4.3%
천 101
 
4.3%
인 100
 
4.2%
역 100
 
4.2%
미 100
 
4.2%
추 100
 
4.2%
Other values (99) 1051
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1370
57.9%
Decimal Number 525
 
22.2%
Space Separator 370
 
15.6%
Dash Punctuation 92
 
3.9%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
7.7%
광 101
 
7.4%
시 101
 
7.4%
천 101
 
7.4%
인 100
 
7.3%
역 100
 
7.3%
미 100
 
7.3%
추 100
 
7.3%
홀 100
 
7.3%
구 100
 
7.3%
Other values (82) 361
26.4%
Decimal Number
ValueCountFrequency (%)
1 135
25.7%
5 58
11.0%
6 57
10.9%
3 53
 
10.1%
4 48
 
9.1%
2 46
 
8.8%
0 46
 
8.8%
7 33
 
6.3%
8 26
 
5.0%
9 23
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1370
57.9%
Common 993
42.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
7.7%
광 101
 
7.4%
시 101
 
7.4%
천 101
 
7.4%
인 100
 
7.3%
역 100
 
7.3%
미 100
 
7.3%
추 100
 
7.3%
홀 100
 
7.3%
구 100
 
7.3%
Other values (82) 361
26.4%
Common
ValueCountFrequency (%)
370
37.3%
1 135
 
13.6%
- 92
 
9.3%
5 58
 
5.8%
6 57
 
5.7%
3 53
 
5.3%
4 48
 
4.8%
2 46
 
4.6%
0 46
 
4.6%
7 33
 
3.3%
Other values (5) 55
 
5.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1370
57.9%
ASCII 995
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
370
37.2%
1 135
 
13.6%
- 92
 
9.2%
5 58
 
5.8%
6 57
 
5.7%
3 53
 
5.3%
4 48
 
4.8%
2 46
 
4.6%
0 46
 
4.6%
7 33
 
3.3%
Other values (7) 57
 
5.7%
Hangul
ValueCountFrequency (%)
동 106
 
7.7%
광 101
 
7.4%
시 101
 
7.4%
천 101
 
7.4%
인 100
 
7.3%
역 100
 
7.3%
미 100
 
7.3%
추 100
 
7.3%
홀 100
 
7.3%
구 100
 
7.3%
Other values (82) 361
26.4%

도로명주소
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T10:58:51.073617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length23.56
Min length17

Characters and Unicode

Total characters2356
Distinct characters129
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

Unique98 ?
Unique (%)98.0%

Sample

1st row인천광역시 미추홀구 숙골로 90
2nd row인천광역시 미추홀구 신기길29번길 25
3rd row인천광역시 미추홀구 미추홀대로646번길 4 우리가족고기집 정육점
4th row인천광역시 미추홀구 용정공원로 33
5th row인천광역시 미추홀구 숙골로 114 우가돈 정육점
ValueCountFrequency (%)
인천광역시 100
21.4%
미추홀구 100
21.4%
1층 18
 
3.8%
낙섬중로 5
 
1.1%
경인로 5
 
1.1%
경원대로852번길 4
 
0.9%
33 4
 
0.9%
4 4
 
0.9%
숙골로 4
 
0.9%
7 4
 
0.9%
Other values (183) 220
47.0%
2023-12-12T10:58:51.630316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
 
15.7%
인 119
 
5.1%
홀 110
 
4.7%
미 107
 
4.5%
추 107
 
4.5%
광 101
 
4.3%
시 101
 
4.3%
구 101
 
4.3%
천 101
 
4.3%
역 100
 
4.2%
Other values (119) 1040
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1541
65.4%
Decimal Number 423
 
18.0%
Space Separator 369
 
15.7%
Dash Punctuation 17
 
0.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 119
 
7.7%
홀 110
 
7.1%
미 107
 
6.9%
추 107
 
6.9%
광 101
 
6.6%
시 101
 
6.6%
구 101
 
6.6%
천 101
 
6.6%
역 100
 
6.5%
로 91
 
5.9%
Other values (103) 503
32.6%
Decimal Number
ValueCountFrequency (%)
1 91
21.5%
4 59
13.9%
2 56
13.2%
3 56
13.2%
5 39
9.2%
0 32
 
7.6%
6 28
 
6.6%
8 27
 
6.4%
7 18
 
4.3%
9 17
 
4.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1541
65.4%
Common 814
34.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 119
 
7.7%
홀 110
 
7.1%
미 107
 
6.9%
추 107
 
6.9%
광 101
 
6.6%
시 101
 
6.6%
구 101
 
6.6%
천 101
 
6.6%
역 100
 
6.5%
로 91
 
5.9%
Other values (103) 503
32.6%
Common
ValueCountFrequency (%)
369
45.3%
1 91
 
11.2%
4 59
 
7.2%
2 56
 
6.9%
3 56
 
6.9%
5 39
 
4.8%
0 32
 
3.9%
6 28
 
3.4%
8 27
 
3.3%
7 18
 
2.2%
Other values (5) 39
 
4.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1541
65.4%
ASCII 815
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
45.3%
1 91
 
11.2%
4 59
 
7.2%
2 56
 
6.9%
3 56
 
6.9%
5 39
 
4.8%
0 32
 
3.9%
6 28
 
3.4%
8 27
 
3.3%
7 18
 
2.2%
Other values (6) 40
 
4.9%
Hangul
ValueCountFrequency (%)
인 119
 
7.7%
홀 110
 
7.1%
미 107
 
6.9%
추 107
 
6.9%
광 101
 
6.6%
시 101
 
6.6%
구 101
 
6.6%
천 101
 
6.6%
역 100
 
6.5%
로 91
 
5.9%
Other values (103) 503
32.6%

전화번호
Text

MISSING 

Distinct92
Distinct (%)100.0%
Missing8
Missing (%)8.0%
Memory size932.0 B
2023-12-12T10:58:51.901348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.48913
Min length12

Characters and Unicode

Total characters1149
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

Unique92 ?
Unique (%)100.0%

Sample

1st row032-862-9682
2nd row032-887-7007
3rd row032-544-7750
4th row0507-1384-4231
5th row032-527-8445
ValueCountFrequency (%)
032-886-4022 1
 
1.1%
032-886-0092 1
 
1.1%
032-882-1718 1
 
1.1%
0507-1307-1552 1
 
1.1%
032-867-1547 1
 
1.1%
0507-1339-9760 1
 
1.1%
032-883-8558 1
 
1.1%
0507-1389-0325 1
 
1.1%
032-875-9525 1
 
1.1%
032-212-8558 1
 
1.1%
Other values (82) 82
89.1%
2023-12-12T10:58:52.379096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.0%
2 151
13.1%
0 147
12.8%
3 133
11.6%
8 116
10.1%
7 87
7.6%
5 83
7.2%
6 66
 
5.7%
4 66
 
5.7%
1 65
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 965
84.0%
Dash Punctuation 184
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 151
15.6%
0 147
15.2%
3 133
13.8%
8 116
12.0%
7 87
9.0%
5 83
8.6%
6 66
6.8%
4 66
6.8%
1 65
6.7%
9 51
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.0%
2 151
13.1%
0 147
12.8%
3 133
11.6%
8 116
10.1%
7 87
7.6%
5 83
7.2%
6 66
 
5.7%
4 66
 
5.7%
1 65
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.0%
2 151
13.1%
0 147
12.8%
3 133
11.6%
8 116
10.1%
7 87
7.6%
5 83
7.2%
6 66
 
5.7%
4 66
 
5.7%
1 65
 
5.7%

Interactions

2023-12-12T10:58:48.500621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:58:52.502622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0000.7991.0000.9401.000
상호명0.7991.0001.0000.9971.000
지번주소1.0001.0001.0001.0001.000
도로명주소0.9400.9971.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T10:58:48.621383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:58:48.727353image/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
01두총각네축산 도화점인천광역시 미추홀구 도화동 1006-8인천광역시 미추홀구 숙골로 90<NA>
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23정육점우리가족고기집인천광역시 미추홀구 주안동 453-5 우리가족고기집 정육점인천광역시 미추홀구 미추홀대로646번길 4 우리가족고기집 정육점<NA>
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45우가돈정육점인천광역시 미추홀구 도화동 1005-6 우가돈 정육점인천광역시 미추홀구 숙골로 114 우가돈 정육점032-544-7750
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9091성공축산인천광역시 미추홀구 관교동 502인천광역시 미추홀구 경원대로640번길 30032-433-5949
9192고기촌인천광역시 미추홀구 용현동 141-78인천광역시 미추홀구 인주대로174번길 32032-865-7734
9293천지한방포크인천광역시 미추홀구 관교동 501-4인천광역시 미추홀구 주승로 244032-424-7266
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9495더 좋은 푸줏간인천광역시 미추홀구 주안동 946-25인천광역시 미추홀구 경원대로852번길 39032-437-2366
9596한우리 축산인천광역시 미추홀구 주안동 506-6인천광역시 미추홀구 경인로 340032-876-3363
9697대림축산 롯데백화점 인천점인천광역시 미추홀구 관교동 15 지하 1층인천광역시 미추홀구 연남로 35 지하 1층032-242-2022
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9899바른정육점인천광역시 미추홀구 주안동 1628 상가동 104호인천광역시 미추홀구 염전로 414 상가동 104호0507-1369-0613
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