Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory61.1 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description전라남도 영암군의 양만장 사업장 현황에 관한 데이터로 사업장이름 및 대표자, 주소 정보 등의 데이터를 포함하고 있습니다.
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15111862/fileData.do

Alerts

시군명 has constant value ""Constant
관리부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대표자 has 1 (3.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:52:34.279423
Analysis finished2023-12-12 15:52:34.969229
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T00:52:35.046525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-13T00:52:35.532541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
영암군
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영암군
2nd row영암군
3rd row영암군
4th row영암군
5th row영암군

Common Values

ValueCountFrequency (%)
영암군 32
100.0%

Length

2023-12-13T00:52:35.702783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:35.827618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영암군 32
100.0%

사업장이름
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T00:52:36.015368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.25
Min length3

Characters and Unicode

Total characters136
Distinct characters56
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)75.0%

Sample

1st row미등록
2nd row용암수산
3rd row삼민수산
4th row해영수산
5th row왕암수산
ValueCountFrequency (%)
미등록 6
 
17.6%
삼민수산 2
 
5.9%
㈜시온 1
 
2.9%
금정수산 1
 
2.9%
활기찬양만 1
 
2.9%
세양수산 1
 
2.9%
영등양만 1
 
2.9%
둔재양만 1
 
2.9%
삼장원양만장 1
 
2.9%
월출수산 1
 
2.9%
Other values (18) 18
52.9%
2023-12-13T00:52:36.423990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 15
 
11.0%
수 14
 
10.3%
양 10
 
7.4%
만 9
 
6.6%
등 7
 
5.1%
미 6
 
4.4%
록 6
 
4.4%
영 6
 
4.4%
삼 5
 
3.7%
장 2
 
1.5%
Other values (46) 56
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
97.1%
Space Separator 2
 
1.5%
Other Symbol 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 15
 
11.4%
수 14
 
10.6%
양 10
 
7.6%
만 9
 
6.8%
등 7
 
5.3%
미 6
 
4.5%
록 6
 
4.5%
영 6
 
4.5%
삼 5
 
3.8%
장 2
 
1.5%
Other values (44) 52
39.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
98.5%
Common 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 15
 
11.2%
수 14
 
10.4%
양 10
 
7.5%
만 9
 
6.7%
등 7
 
5.2%
미 6
 
4.5%
록 6
 
4.5%
영 6
 
4.5%
삼 5
 
3.7%
장 2
 
1.5%
Other values (45) 54
40.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
97.1%
ASCII 2
 
1.5%
None 2
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 15
 
11.4%
수 14
 
10.6%
양 10
 
7.6%
만 9
 
6.8%
등 7
 
5.3%
미 6
 
4.5%
록 6
 
4.5%
영 6
 
4.5%
삼 5
 
3.8%
장 2
 
1.5%
Other values (44) 52
39.4%
ASCII
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Memory size388.0 B
2023-12-13T00:52:36.692569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9677419
Min length2

Characters and Unicode

Total characters92
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row강신곤
2nd row강여용
3rd row권용필
4th row김경남
5th row김동희
ValueCountFrequency (%)
미등록 2
 
6.5%
정헌욱 1
 
3.2%
조영례 1
 
3.2%
조병제 1
 
3.2%
정인중 1
 
3.2%
장미옥 1
 
3.2%
임용택 1
 
3.2%
윤재득 1
 
3.2%
소영근 1
 
3.2%
배익수 1
 
3.2%
Other values (20) 20
64.5%
2023-12-13T00:52:37.096672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
5.4%
미 4
 
4.3%
정 4
 
4.3%
용 4
 
4.3%
영 4
 
4.3%
조 3
 
3.3%
주 3
 
3.3%
태 2
 
2.2%
배 2
 
2.2%
최 2
 
2.2%
Other values (47) 59
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
5.4%
미 4
 
4.3%
정 4
 
4.3%
용 4
 
4.3%
영 4
 
4.3%
조 3
 
3.3%
주 3
 
3.3%
태 2
 
2.2%
배 2
 
2.2%
최 2
 
2.2%
Other values (47) 59
64.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
5.4%
미 4
 
4.3%
정 4
 
4.3%
용 4
 
4.3%
영 4
 
4.3%
조 3
 
3.3%
주 3
 
3.3%
태 2
 
2.2%
배 2
 
2.2%
최 2
 
2.2%
Other values (47) 59
64.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
5.4%
미 4
 
4.3%
정 4
 
4.3%
용 4
 
4.3%
영 4
 
4.3%
조 3
 
3.3%
주 3
 
3.3%
태 2
 
2.2%
배 2
 
2.2%
최 2
 
2.2%
Other values (47) 59
64.1%

주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T00:52:37.369507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.875
Min length14

Characters and Unicode

Total characters540
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row영암군 군서면 양장리 460-5
2nd row영암군 시종면 만수리 1107-4
3rd row영암군 도포면 성산리 56-10
4th row영암군 군서면 양장리 460-5
5th row영암군 도포면 구학리 953
ValueCountFrequency (%)
영암군 32
25.0%
시종면 9
 
7.0%
도포면 7
 
5.5%
만수리 7
 
5.5%
영암읍 5
 
3.9%
미암면 4
 
3.1%
회문리 4
 
3.1%
남산리 4
 
3.1%
영호리 3
 
2.3%
구학리 2
 
1.6%
Other values (46) 51
39.8%
2023-12-13T00:52:37.802210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
17.8%
영 41
 
7.6%
암 41
 
7.6%
군 34
 
6.3%
리 32
 
5.9%
1 29
 
5.4%
면 27
 
5.0%
- 24
 
4.4%
0 20
 
3.7%
4 13
 
2.4%
Other values (41) 183
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
53.3%
Decimal Number 132
24.4%
Space Separator 96
 
17.8%
Dash Punctuation 24
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 41
14.2%
암 41
14.2%
군 34
11.8%
리 32
11.1%
면 27
 
9.4%
종 9
 
3.1%
시 9
 
3.1%
만 7
 
2.4%
수 7
 
2.4%
도 7
 
2.4%
Other values (29) 74
25.7%
Decimal Number
ValueCountFrequency (%)
1 29
22.0%
0 20
15.2%
4 13
9.8%
6 13
9.8%
3 12
9.1%
7 11
 
8.3%
5 10
 
7.6%
8 9
 
6.8%
9 8
 
6.1%
2 7
 
5.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
53.3%
Common 252
46.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 41
14.2%
암 41
14.2%
군 34
11.8%
리 32
11.1%
면 27
 
9.4%
종 9
 
3.1%
시 9
 
3.1%
만 7
 
2.4%
수 7
 
2.4%
도 7
 
2.4%
Other values (29) 74
25.7%
Common
ValueCountFrequency (%)
96
38.1%
1 29
 
11.5%
- 24
 
9.5%
0 20
 
7.9%
4 13
 
5.2%
6 13
 
5.2%
3 12
 
4.8%
7 11
 
4.4%
5 10
 
4.0%
8 9
 
3.6%
Other values (2) 15
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
53.3%
ASCII 252
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
38.1%
1 29
 
11.5%
- 24
 
9.5%
0 20
 
7.9%
4 13
 
5.2%
6 13
 
5.2%
3 12
 
4.8%
7 11
 
4.4%
5 10
 
4.0%
8 9
 
3.6%
Other values (2) 15
 
6.0%
Hangul
ValueCountFrequency (%)
영 41
14.2%
암 41
14.2%
군 34
11.8%
리 32
11.1%
면 27
 
9.4%
종 9
 
3.1%
시 9
 
3.1%
만 7
 
2.4%
수 7
 
2.4%
도 7
 
2.4%
Other values (29) 74
25.7%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
농업해양정책과 해양수산팀
32 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농업해양정책과 해양수산팀
2nd row농업해양정책과 해양수산팀
3rd row농업해양정책과 해양수산팀
4th row농업해양정책과 해양수산팀
5th row농업해양정책과 해양수산팀

Common Values

ValueCountFrequency (%)
농업해양정책과 해양수산팀 32
100.0%

Length

2023-12-13T00:52:37.971649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:52:38.089824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업해양정책과 32
50.0%
해양수산팀 32
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2023-01-09 00:00:00
Maximum2023-01-09 00:00:00
2023-12-13T00:52:38.182699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:52:38.281463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:52:34.597322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:52:38.357142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장이름대표자주소
번호1.0000.6170.9451.000
사업장이름0.6171.0000.9530.986
대표자0.9450.9531.0000.991
주소1.0000.9860.9911.000

Missing values

2023-12-13T00:52:34.776253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:52:34.910041image/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

번호시군명사업장이름대표자주소관리부서데이터기준일자
01영암군미등록강신곤영암군 군서면 양장리 460-5농업해양정책과 해양수산팀2023-01-09
12영암군용암수산강여용영암군 시종면 만수리 1107-4농업해양정책과 해양수산팀2023-01-09
23영암군삼민수산권용필영암군 도포면 성산리 56-10농업해양정책과 해양수산팀2023-01-09
34영암군해영수산김경남영암군 군서면 양장리 460-5농업해양정책과 해양수산팀2023-01-09
45영암군왕암수산김동희영암군 도포면 구학리 953농업해양정책과 해양수산팀2023-01-09
56영암군삼민수산김인겸영암군 시종면 만수리 1109-2농업해양정책과 해양수산팀2023-01-09
67영암군도포양만문태주영암군 도포면 덕화리 38농업해양정책과 해양수산팀2023-01-09
78영암군성보양만박형주영암군 도포면 구학리 1466농업해양정책과 해양수산팀2023-01-09
89영암군㈜빛가람미등록영암군 시종면 신학리 838-1농업해양정책과 해양수산팀2023-01-09
910영암군미등록서영미영암군 도포면 영호리 320-3농업해양정책과 해양수산팀2023-01-09
번호시군명사업장이름대표자주소관리부서데이터기준일자
2223영암군송공양만김진구영암군 미암면 남산리 1001-7농업해양정책과 해양수산팀2023-01-09
2324영암군월출수산배문섭영암군 신북면 장산리 678농업해양정책과 해양수산팀2023-01-09
2425영암군삼장원양만장배익수영암군 신북면 이천리 521-1농업해양정책과 해양수산팀2023-01-09
2526영암군둔재양만소영근영암군 미암면 남산리 1001-8농업해양정책과 해양수산팀2023-01-09
2627영암군영등양만윤재득영암군 덕진면 영등리 386농업해양정책과 해양수산팀2023-01-09
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