Overview

Dataset statistics

Number of variables4
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory33.6 B

Variable types

Text3
Categorical1

Dataset

Description전라북도 고창군 지역내에 위치한 양만장(장어양식업)들의 업체들의 정보(사업장 이름, 주소, 전화번호 등)를 제공합니다.
Author전라북도 고창군
URLhttps://www.data.go.kr/data/15111838/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 10:49:03.741999
Analysis finished2023-12-12 10:49:04.532240
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장이름
Text

Distinct43
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T19:49:04.738305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length5.1547619
Min length3

Characters and Unicode

Total characters433
Distinct characters61
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

Unique33 ?
Unique (%)39.3%

Sample

1st row김**
2nd row황**
3rd row최**
4th row윤**
5th row최**
ValueCountFrequency (%)
김 14
 
15.2%
박 7
 
7.6%
이 6
 
6.5%
최 6
 
6.5%
윤 4
 
4.3%
배 4
 
4.3%
조인영어조합법인 4
 
4.3%
어업회사법인 3
 
3.3%
안 2
 
2.2%
황 2
 
2.2%
Other values (38) 40
43.5%
2023-12-12T19:49:05.228343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 116
26.8%
인 28
 
6.5%
어 26
 
6.0%
조 25
 
5.8%
법 24
 
5.5%
영 20
 
4.6%
합 20
 
4.6%
김 14
 
3.2%
양 9
 
2.1%
회 9
 
2.1%
Other values (51) 142
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
71.4%
Other Punctuation 116
 
26.8%
Space Separator 8
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 28
 
9.1%
어 26
 
8.4%
조 25
 
8.1%
법 24
 
7.8%
영 20
 
6.5%
합 20
 
6.5%
김 14
 
4.5%
양 9
 
2.9%
회 9
 
2.9%
사 9
 
2.9%
Other values (49) 125
40.5%
Other Punctuation
ValueCountFrequency (%)
* 116
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
71.4%
Common 124
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 28
 
9.1%
어 26
 
8.4%
조 25
 
8.1%
법 24
 
7.8%
영 20
 
6.5%
합 20
 
6.5%
김 14
 
4.5%
양 9
 
2.9%
회 9
 
2.9%
사 9
 
2.9%
Other values (49) 125
40.5%
Common
ValueCountFrequency (%)
* 116
93.5%
8
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
71.4%
ASCII 124
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 116
93.5%
8
 
6.5%
Hangul
ValueCountFrequency (%)
인 28
 
9.1%
어 26
 
8.4%
조 25
 
8.1%
법 24
 
7.8%
영 20
 
6.5%
합 20
 
6.5%
김 14
 
4.5%
양 9
 
2.9%
회 9
 
2.9%
사 9
 
2.9%
Other values (49) 125
40.5%

지번주소
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T19:49:05.702005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length49
Mean length28.964286
Min length20

Characters and Unicode

Total characters2433
Distinct characters83
Distinct categories9 ?
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 (%)97.6%

Sample

1st row전라북도 고창군 아산면 계산리 499, 499-1
2nd row전라북도 고창군 아산면 계산리 277-1, 277-5, 277-7, 695-8, 695-11
3rd row전라북도 고창군 부안면 사창리 582-1
4th row전라북도 고창군 심원면 용기리 420.422
5th row전라북도 고창군 심원면 용기리 419, 518
ValueCountFrequency (%)
고창군 85
 
17.4%
전라북도 84
 
17.2%
심원면 37
 
7.6%
해리면 19
 
3.9%
월산리 11
 
2.2%
부안면 9
 
1.8%
동호리 8
 
1.6%
금평리 8
 
1.6%
만돌리 6
 
1.2%
상암리 5
 
1.0%
Other values (180) 217
44.4%
2023-12-12T19:49:06.449313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
16.6%
1 146
 
6.0%
, 108
 
4.4%
리 103
 
4.2%
전 90
 
3.7%
3 88
 
3.6%
도 88
 
3.6%
고 88
 
3.6%
라 87
 
3.6%
창 86
 
3.5%
Other values (73) 1144
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
45.5%
Decimal Number 721
29.6%
Space Separator 405
 
16.6%
Other Punctuation 109
 
4.5%
Dash Punctuation 83
 
3.4%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Open Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 103
 
9.3%
전 90
 
8.1%
도 88
 
7.9%
고 88
 
7.9%
라 87
 
7.9%
창 86
 
7.8%
군 85
 
7.7%
면 84
 
7.6%
북 84
 
7.6%
심 37
 
3.3%
Other values (54) 275
24.8%
Decimal Number
ValueCountFrequency (%)
1 146
20.2%
3 88
12.2%
2 78
10.8%
5 70
9.7%
4 69
9.6%
0 62
8.6%
8 62
8.6%
7 60
8.3%
6 44
 
6.1%
9 42
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 108
99.1%
. 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1322
54.3%
Hangul 1107
45.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 103
 
9.3%
전 90
 
8.1%
도 88
 
7.9%
고 88
 
7.9%
라 87
 
7.9%
창 86
 
7.8%
군 85
 
7.7%
면 84
 
7.6%
북 84
 
7.6%
심 37
 
3.3%
Other values (54) 275
24.8%
Common
ValueCountFrequency (%)
405
30.6%
1 146
 
11.0%
, 108
 
8.2%
3 88
 
6.7%
- 83
 
6.3%
2 78
 
5.9%
5 70
 
5.3%
4 69
 
5.2%
0 62
 
4.7%
8 62
 
4.7%
Other values (6) 151
 
11.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
a 1
25.0%
b 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1326
54.5%
Hangul 1107
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
30.5%
1 146
 
11.0%
, 108
 
8.1%
3 88
 
6.6%
- 83
 
6.3%
2 78
 
5.9%
5 70
 
5.3%
4 69
 
5.2%
0 62
 
4.7%
8 62
 
4.7%
Other values (9) 155
 
11.7%
Hangul
ValueCountFrequency (%)
리 103
 
9.3%
전 90
 
8.1%
도 88
 
7.9%
고 88
 
7.9%
라 87
 
7.9%
창 86
 
7.8%
군 85
 
7.7%
면 84
 
7.6%
북 84
 
7.6%
심 37
 
3.3%
Other values (54) 275
24.8%

전화번호
Text

Distinct66
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T19:49:06.810369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97619
Min length12

Characters and Unicode

Total characters1090
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)58.3%

Sample

1st row010-****-33*6
2nd row010-****-54*3
3rd row010-****-44*4
4th row010-****-16*6
5th row010-****-16*6
ValueCountFrequency (%)
010-****-51*9 3
 
3.6%
010-****-16*6 2
 
2.4%
010-****-62*0 2
 
2.4%
010-****-51*4 2
 
2.4%
010-****-56*7 2
 
2.4%
010-****-13*3 2
 
2.4%
010-****-33*3 2
 
2.4%
010-****-67*7 2
 
2.4%
010-****-02*2 2
 
2.4%
010-****-70*2 2
 
2.4%
Other values (56) 63
75.0%
2023-12-12T19:49:07.223924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 415
38.1%
0 198
18.2%
- 168
15.4%
1 107
 
9.8%
6 35
 
3.2%
7 34
 
3.1%
5 29
 
2.7%
3 25
 
2.3%
2 23
 
2.1%
9 19
 
1.7%
Other values (2) 37
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 507
46.5%
Other Punctuation 415
38.1%
Dash Punctuation 168
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 198
39.1%
1 107
21.1%
6 35
 
6.9%
7 34
 
6.7%
5 29
 
5.7%
3 25
 
4.9%
2 23
 
4.5%
9 19
 
3.7%
4 19
 
3.7%
8 18
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 415
38.1%
0 198
18.2%
- 168
15.4%
1 107
 
9.8%
6 35
 
3.2%
7 34
 
3.1%
5 29
 
2.7%
3 25
 
2.3%
2 23
 
2.1%
9 19
 
1.7%
Other values (2) 37
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 415
38.1%
0 198
18.2%
- 168
15.4%
1 107
 
9.8%
6 35
 
3.2%
7 34
 
3.1%
5 29
 
2.7%
3 25
 
2.3%
2 23
 
2.1%
9 19
 
1.7%
Other values (2) 37
 
3.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-01-09
84 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-09
2nd row2023-01-09
3rd row2023-01-09
4th row2023-01-09
5th row2023-01-09

Common Values

ValueCountFrequency (%)
2023-01-09 84
100.0%

Length

2023-12-12T19:49:07.388526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:49:07.511978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-09 84
100.0%

Correlations

2023-12-12T19:49:07.591720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장이름지번주소전화번호
사업장이름1.0000.9900.946
지번주소0.9901.0000.990
전화번호0.9460.9901.000

Missing values

2023-12-12T19:49:04.353383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:49:04.480148image/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

사업장이름지번주소전화번호데이터기준일자
0김**전라북도 고창군 아산면 계산리 499, 499-1010-****-33*62023-01-09
1황**전라북도 고창군 아산면 계산리 277-1, 277-5, 277-7, 695-8, 695-11010-****-54*32023-01-09
2최**전라북도 고창군 부안면 사창리 582-1010-****-44*42023-01-09
3윤**전라북도 고창군 심원면 용기리 420.422010-****-16*62023-01-09
4최**전라북도 고창군 심원면 용기리 419, 518010-****-16*62023-01-09
5장**전라북도 고창군 심원면 주산리 1613-1010-****-99*52023-01-09
6덕진수산영어조합법인전라북도 고창군 부안면 상암리 604010-****-61*92023-01-09
7박**전라북도 고창군 부안면 상암리 603010-****-61*92023-01-09
8박**전라북도 고창군 부안면 상암리 376010-****-77*12023-01-09
9김**전라북도 고창군 해리면 금평리 1283, 1284010-****-34*42023-01-09
사업장이름지번주소전화번호데이터기준일자
74이**전라북도 고창군 심원면 주산리 1325-1010-****-07*72023-01-09
75어업회사법인 어업대상주식회사전라북도 고창군 성내면 산림리 734-4010-****-33*32023-01-09
76박**전라북도 고창군 신림면 법지리 92 A동 1라인010-****-61*12023-01-09
77김**전라북도 고창군 심원면 두어리 384010-****-56*82023-01-09
78배**전라북도 고창군 심원면 하전리 1060,1061010-****-20*52023-01-09
79안**전라북도 고창군 심원면 하전리 1024,1045,1046,1047010-****-20*52023-01-09
80김**전라북도 고창군 심원면 주산리 1613-1010-****-76*52023-01-09
81우진영어조합법인전라북도 고창군 상하면 자룡리 248, 278, 279, 280, 281010-****-17*02023-01-09
82안**전라북도 고창군 상하면 자룡리 277,282,286,791,791-22010-****-17*02023-01-09
83엄**전라북도 고창군 심원면 만돌리 1344, 1280-1, 1349-1, 1348, 1342063-563-52152023-01-09