Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description광주광역시 소재 김치류 식품 제조업체 현황에 대한 데이터입니다. 업체명, 대표자, 소재지도로명주소 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15012244/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 소재지High correlation
소재지 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:43:34.018125
Analysis finished2024-04-06 08:43:35.652128
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  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
2024-04-06T17:43:35.957382image/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
2024-04-06T17:43:36.320361image/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%

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:43:36.899626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length7.21875
Min length3

Characters and Unicode

Total characters231
Distinct characters98
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row㈜푸드앤푸드
2nd row농업회사법인 (주) 금치
3rd row햇채원
4th row㈜진선
5th row㈜비움
ValueCountFrequency (%)
주식회사 2
 
5.4%
㈜푸드앤푸드 1
 
2.7%
찬들식품 1
 
2.7%
광보네 1
 
2.7%
김치 1
 
2.7%
양산광보네김치 1
 
2.7%
생기찬(주 1
 
2.7%
주)이씨네식품 1
 
2.7%
광신농산 1
 
2.7%
빛고을김치 1
 
2.7%
Other values (26) 26
70.3%
2024-04-06T17:43:37.809475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
6.1%
) 11
 
4.8%
( 11
 
4.8%
치 10
 
4.3%
식 9
 
3.9%
김 9
 
3.9%
사 7
 
3.0%
㈜ 6
 
2.6%
회 6
 
2.6%
푸 5
 
2.2%
Other values (88) 143
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
82.7%
Close Punctuation 12
 
5.2%
Open Punctuation 12
 
5.2%
Other Symbol 6
 
2.6%
Space Separator 5
 
2.2%
Uppercase Letter 4
 
1.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
7.3%
치 10
 
5.2%
식 9
 
4.7%
김 9
 
4.7%
사 7
 
3.7%
회 6
 
3.1%
푸 5
 
2.6%
품 5
 
2.6%
업 4
 
2.1%
농 4
 
2.1%
Other values (77) 118
61.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
F 1
25.0%
J 1
25.0%
S 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
85.3%
Common 30
 
13.0%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
7.1%
치 10
 
5.1%
식 9
 
4.6%
김 9
 
4.6%
사 7
 
3.6%
㈜ 6
 
3.0%
회 6
 
3.0%
푸 5
 
2.5%
품 5
 
2.5%
업 4
 
2.0%
Other values (78) 122
61.9%
Common
ValueCountFrequency (%)
) 11
36.7%
( 11
36.7%
5
16.7%
[ 1
 
3.3%
& 1
 
3.3%
] 1
 
3.3%
Latin
ValueCountFrequency (%)
G 1
25.0%
F 1
25.0%
J 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
82.7%
ASCII 34
 
14.7%
None 6
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
7.3%
치 10
 
5.2%
식 9
 
4.7%
김 9
 
4.7%
사 7
 
3.7%
회 6
 
3.1%
푸 5
 
2.6%
품 5
 
2.6%
업 4
 
2.1%
농 4
 
2.1%
Other values (77) 118
61.8%
ASCII
ValueCountFrequency (%)
) 11
32.4%
( 11
32.4%
5
14.7%
[ 1
 
2.9%
G 1
 
2.9%
& 1
 
2.9%
F 1
 
2.9%
J 1
 
2.9%
S 1
 
2.9%
] 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 6
100.0%

대표자
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:43:38.348128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9375
Min length2

Characters and Unicode

Total characters94
Distinct characters49
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

Unique32 ?
Unique (%)100.0%

Sample

1st row홍정희
2nd row국중석
3rd row정순부
4th row채금진
5th row이호진
ValueCountFrequency (%)
홍정희 1
 
3.1%
국중석 1
 
3.1%
박홍수 1
 
3.1%
이준경 1
 
3.1%
정직 1
 
3.1%
정선환 1
 
3.1%
명용옥 1
 
3.1%
윤경미 1
 
3.1%
강인순 1
 
3.1%
고호심 1
 
3.1%
Other values (22) 22
68.8%
2024-04-06T17:43:39.186198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 7
 
7.4%
이 6
 
6.4%
희 5
 
5.3%
김 4
 
4.3%
박 4
 
4.3%
윤 4
 
4.3%
홍 3
 
3.2%
순 3
 
3.2%
채 3
 
3.2%
용 3
 
3.2%
Other values (39) 52
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 7
 
7.4%
이 6
 
6.4%
희 5
 
5.3%
김 4
 
4.3%
박 4
 
4.3%
윤 4
 
4.3%
홍 3
 
3.2%
순 3
 
3.2%
채 3
 
3.2%
용 3
 
3.2%
Other values (39) 52
55.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 7
 
7.4%
이 6
 
6.4%
희 5
 
5.3%
김 4
 
4.3%
박 4
 
4.3%
윤 4
 
4.3%
홍 3
 
3.2%
순 3
 
3.2%
채 3
 
3.2%
용 3
 
3.2%
Other values (39) 52
55.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 7
 
7.4%
이 6
 
6.4%
희 5
 
5.3%
김 4
 
4.3%
박 4
 
4.3%
윤 4
 
4.3%
홍 3
 
3.2%
순 3
 
3.2%
채 3
 
3.2%
용 3
 
3.2%
Other values (39) 52
55.3%

소재지
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
광산구
11 
북구
8 
서구
6 
동구
5 
남구
2 

Length

Max length3
Median length2
Mean length2.34375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산구 11
34.4%
북구 8
25.0%
서구 6
18.8%
동구 5
15.6%
남구 2
 
6.2%

Length

2024-04-06T17:43:39.539313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:43:39.892811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 11
34.4%
북구 8
25.0%
서구 6
18.8%
동구 5
15.6%
남구 2
 
6.2%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:43:40.584648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length28.75
Min length20

Characters and Unicode

Total characters920
Distinct characters102
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row광주광역시 동구 제봉로184번길 5-3, 1층 (대인동)
2nd row광주광역시 동구 선교로 91-5 (선교동)
3rd row광주광역시 동구 제봉로190번길 1-1, 1층 (대인동)
4th row광주광역시 동구 남계길 66, 1-2층 (내남동)
5th row광주광역시 동구 예술길 38, 1,2,3층 (대의동)
ValueCountFrequency (%)
광주광역시 32
 
17.1%
1층 16
 
8.6%
광산구 11
 
5.9%
북구 8
 
4.3%
서구 6
 
3.2%
동구 5
 
2.7%
월전동 3
 
1.6%
평동산단7번로 2
 
1.1%
하서로 2
 
1.1%
2층 2
 
1.1%
Other values (96) 100
53.5%
2024-04-06T17:43:41.720888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
16.8%
광 75
 
8.2%
1 58
 
6.3%
동 48
 
5.2%
주 33
 
3.6%
역 32
 
3.5%
시 32
 
3.5%
구 32
 
3.5%
) 32
 
3.5%
( 32
 
3.5%
Other values (92) 391
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
54.9%
Space Separator 155
 
16.8%
Decimal Number 151
 
16.4%
Close Punctuation 32
 
3.5%
Open Punctuation 32
 
3.5%
Other Punctuation 30
 
3.3%
Dash Punctuation 13
 
1.4%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 75
14.9%
동 48
 
9.5%
주 33
 
6.5%
역 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
로 26
 
5.1%
층 26
 
5.1%
산 20
 
4.0%
길 15
 
3.0%
Other values (76) 166
32.9%
Decimal Number
ValueCountFrequency (%)
1 58
38.4%
2 17
 
11.3%
4 14
 
9.3%
3 12
 
7.9%
9 10
 
6.6%
8 10
 
6.6%
6 9
 
6.0%
5 9
 
6.0%
7 7
 
4.6%
0 5
 
3.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
54.9%
Common 415
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 75
14.9%
동 48
 
9.5%
주 33
 
6.5%
역 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
로 26
 
5.1%
층 26
 
5.1%
산 20
 
4.0%
길 15
 
3.0%
Other values (76) 166
32.9%
Common
ValueCountFrequency (%)
155
37.3%
1 58
 
14.0%
) 32
 
7.7%
( 32
 
7.7%
, 30
 
7.2%
2 17
 
4.1%
4 14
 
3.4%
- 13
 
3.1%
3 12
 
2.9%
9 10
 
2.4%
Other values (6) 42
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
54.9%
ASCII 415
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
37.3%
1 58
 
14.0%
) 32
 
7.7%
( 32
 
7.7%
, 30
 
7.2%
2 17
 
4.1%
4 14
 
3.4%
- 13
 
3.1%
3 12
 
2.9%
9 10
 
2.4%
Other values (6) 42
 
10.1%
Hangul
ValueCountFrequency (%)
광 75
14.9%
동 48
 
9.5%
주 33
 
6.5%
역 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
로 26
 
5.1%
층 26
 
5.1%
산 20
 
4.0%
길 15
 
3.0%
Other values (76) 166
32.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T17:43:42.026539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:43:42.312614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:43:34.699771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:43:42.541889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자소재지소재지도로명주소
연번1.0001.0001.0000.9881.000
업체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
소재지0.9881.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
2024-04-06T17:43:42.844486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지
연번1.0000.759
소재지0.7591.000

Missing values

2024-04-06T17:43:35.123175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:43:35.502949image/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

연번업체명대표자소재지소재지도로명주소데이터기준일자
01㈜푸드앤푸드홍정희동구광주광역시 동구 제봉로184번길 5-3, 1층 (대인동)2024-04-01
12농업회사법인 (주) 금치국중석동구광주광역시 동구 선교로 91-5 (선교동)2024-04-01
23햇채원정순부동구광주광역시 동구 제봉로190번길 1-1, 1층 (대인동)2024-04-01
34㈜진선채금진동구광주광역시 동구 남계길 66, 1-2층 (내남동)2024-04-01
45㈜비움이호진동구광주광역시 동구 예술길 38, 1,2,3층 (대의동)2024-04-01
56농업회사법인(주)운림가박채희서구광주광역시 서구 회재유통길 46-1, 1~3층 (매월동)2024-04-01
67임미자전통김치임미자서구광주광역시 서구 월드컵4강로181번길 24, 1층 (쌍촌동)2024-04-01
78(주)SJF&G[(주)에스제이에프앤지]김홍주서구광주광역시 서구 유덕로 151, 1층 (덕흥동)2024-04-01
89㈜한결에프엔에스김성채서구광주광역시 서구 눌재로 566, 1층 (벽진동)2024-04-01
910남도맛김치박윤희서구광주광역시 서구 월드컵4강로182번길 19, 1층 (내방동)2024-04-01
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