Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.3 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description경기도 광주시의 대표 농특산물 공동브랜드인 '자연채'에 대한 인증업체 현황에 대한 데이터로 승인단체, 사업장 위치, 승인품목 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3079587/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
승인단체 has unique valuesUnique
사업장위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:01:02.667392
Analysis finished2023-12-12 21:01:03.146112
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T06:01:03.217042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T06:01:03.369018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

승인단체
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:01:03.606047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.84
Min length4

Characters and Unicode

Total characters221
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row미미청아랑 주식회사 농업회사법인
2nd row도척버섯작목반
3rd row축협(광주지구)
4th row다한영농조합법인
5th row투엘(주)농업회사법인
ValueCountFrequency (%)
농업회사법인㈜ 2
 
6.7%
미미청아랑 1
 
3.3%
표고버섯연합회 1
 
3.3%
광주친환경출하회 1
 
3.3%
농업회사법인㈜샐리의식탁 1
 
3.3%
청오건강농업회사법인㈜ 1
 
3.3%
서하리작목반 1
 
3.3%
광주시감귤연구회 1
 
3.3%
더큰농원 1
 
3.3%
성우농장 1
 
3.3%
Other values (19) 19
63.3%
2023-12-13T06:01:04.005262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 17
 
7.7%
농 12
 
5.4%
사 10
 
4.5%
업 10
 
4.5%
연 9
 
4.1%
주 9
 
4.1%
법 8
 
3.6%
인 8
 
3.6%
구 7
 
3.2%
광 5
 
2.3%
Other values (76) 126
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
92.3%
Space Separator 5
 
2.3%
Other Symbol 4
 
1.8%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 17
 
8.3%
농 12
 
5.9%
사 10
 
4.9%
업 10
 
4.9%
연 9
 
4.4%
주 9
 
4.4%
법 8
 
3.9%
인 8
 
3.9%
구 7
 
3.4%
광 5
 
2.5%
Other values (72) 109
53.4%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
94.1%
Common 13
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 17
 
8.2%
농 12
 
5.8%
사 10
 
4.8%
업 10
 
4.8%
연 9
 
4.3%
주 9
 
4.3%
법 8
 
3.8%
인 8
 
3.8%
구 7
 
3.4%
광 5
 
2.4%
Other values (73) 113
54.3%
Common
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
92.3%
ASCII 13
 
5.9%
None 4
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 17
 
8.3%
농 12
 
5.9%
사 10
 
4.9%
업 10
 
4.9%
연 9
 
4.4%
주 9
 
4.4%
법 8
 
3.9%
인 8
 
3.9%
구 7
 
3.4%
광 5
 
2.5%
Other values (72) 109
53.4%
ASCII
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%
None
ValueCountFrequency (%)
㈜ 4
100.0%

사업장위치
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:01:04.268540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.04
Min length15

Characters and Unicode

Total characters551
Distinct characters69
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 광주시 곤지암읍 광여로862번길 53-101
2nd row경기도 광주시 도척면 도척로 1084-75
3rd row경기도 광주시 경안천로 45
4th row경기도 광주시 곤지암읍 경충대로 101번길 38
5th row경기도 광주시 곤지암읍 새재길 177
ValueCountFrequency (%)
경기도 25
19.4%
광주시 25
19.4%
곤지암읍 8
 
6.2%
남종면 6
 
4.7%
초월읍 5
 
3.9%
도척면 3
 
2.3%
해공로 2
 
1.6%
신만로 2
 
1.6%
63 2
 
1.6%
태허정로 2
 
1.6%
Other values (48) 49
38.0%
2023-12-13T06:01:04.978156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
18.9%
도 30
 
5.4%
경 28
 
5.1%
광 26
 
4.7%
기 25
 
4.5%
주 25
 
4.5%
시 25
 
4.5%
1 19
 
3.4%
- 15
 
2.7%
로 15
 
2.7%
Other values (59) 239
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
59.7%
Space Separator 104
 
18.9%
Decimal Number 103
 
18.7%
Dash Punctuation 15
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 30
 
9.1%
경 28
 
8.5%
광 26
 
7.9%
기 25
 
7.6%
주 25
 
7.6%
시 25
 
7.6%
로 15
 
4.6%
읍 14
 
4.3%
길 13
 
4.0%
면 10
 
3.0%
Other values (47) 118
35.9%
Decimal Number
ValueCountFrequency (%)
1 19
18.4%
5 14
13.6%
2 12
11.7%
3 12
11.7%
4 10
9.7%
8 9
8.7%
7 9
8.7%
6 7
 
6.8%
0 6
 
5.8%
9 5
 
4.9%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
59.7%
Common 222
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 30
 
9.1%
경 28
 
8.5%
광 26
 
7.9%
기 25
 
7.6%
주 25
 
7.6%
시 25
 
7.6%
로 15
 
4.6%
읍 14
 
4.3%
길 13
 
4.0%
면 10
 
3.0%
Other values (47) 118
35.9%
Common
ValueCountFrequency (%)
104
46.8%
1 19
 
8.6%
- 15
 
6.8%
5 14
 
6.3%
2 12
 
5.4%
3 12
 
5.4%
4 10
 
4.5%
8 9
 
4.1%
7 9
 
4.1%
6 7
 
3.2%
Other values (2) 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
59.7%
ASCII 222
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
46.8%
1 19
 
8.6%
- 15
 
6.8%
5 14
 
6.3%
2 12
 
5.4%
3 12
 
5.4%
4 10
 
4.5%
8 9
 
4.1%
7 9
 
4.1%
6 7
 
3.2%
Other values (2) 11
 
5.0%
Hangul
ValueCountFrequency (%)
도 30
 
9.1%
경 28
 
8.5%
광 26
 
7.9%
기 25
 
7.6%
주 25
 
7.6%
시 25
 
7.6%
로 15
 
4.6%
읍 14
 
4.3%
길 13
 
4.0%
면 10
 
3.0%
Other values (47) 118
35.9%

승인품목
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T06:01:05.188720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length4.4
Min length1

Characters and Unicode

Total characters110
Distinct characters59
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

Unique23 ?
Unique (%)92.0%

Sample

1st row느타리버섯
2nd row느타리, 표고
3rd row한우
4th row계란
5th row느타리
ValueCountFrequency (%)
외 5
 
12.5%
느타리 3
 
7.5%
토마토 3
 
7.5%
품목 2
 
5.0%
20 1
 
2.5%
시금치외 1
 
2.5%
가지 1
 
2.5%
양채류 1
 
2.5%
딸기 1
 
2.5%
미숫가루 1
 
2.5%
Other values (21) 21
52.5%
2023-12-13T06:01:05.564464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
13.6%
토 6
 
5.5%
외 6
 
5.5%
리 5
 
4.5%
타 5
 
4.5%
느 4
 
3.6%
마 3
 
2.7%
치 3
 
2.7%
개 2
 
1.8%
가 2
 
1.8%
Other values (49) 59
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
75.5%
Space Separator 15
 
13.6%
Decimal Number 10
 
9.1%
Other Punctuation 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 6
 
7.2%
외 6
 
7.2%
리 5
 
6.0%
타 5
 
6.0%
느 4
 
4.8%
마 3
 
3.6%
치 3
 
3.6%
개 2
 
2.4%
가 2
 
2.4%
고 2
 
2.4%
Other values (39) 45
54.2%
Decimal Number
ValueCountFrequency (%)
2 2
20.0%
3 2
20.0%
8 1
10.0%
1 1
10.0%
6 1
10.0%
0 1
10.0%
7 1
10.0%
5 1
10.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
75.5%
Common 27
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 6
 
7.2%
외 6
 
7.2%
리 5
 
6.0%
타 5
 
6.0%
느 4
 
4.8%
마 3
 
3.6%
치 3
 
3.6%
개 2
 
2.4%
가 2
 
2.4%
고 2
 
2.4%
Other values (39) 45
54.2%
Common
ValueCountFrequency (%)
15
55.6%
2 2
 
7.4%
, 2
 
7.4%
3 2
 
7.4%
8 1
 
3.7%
1 1
 
3.7%
6 1
 
3.7%
0 1
 
3.7%
7 1
 
3.7%
5 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
75.5%
ASCII 27
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
55.6%
2 2
 
7.4%
, 2
 
7.4%
3 2
 
7.4%
8 1
 
3.7%
1 1
 
3.7%
6 1
 
3.7%
0 1
 
3.7%
7 1
 
3.7%
5 1
 
3.7%
Hangul
ValueCountFrequency (%)
토 6
 
7.2%
외 6
 
7.2%
리 5
 
6.0%
타 5
 
6.0%
느 4
 
4.8%
마 3
 
3.6%
치 3
 
3.6%
개 2
 
2.4%
가 2
 
2.4%
고 2
 
2.4%
Other values (39) 45
54.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-08-07
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-07
2nd row2023-08-07
3rd row2023-08-07
4th row2023-08-07
5th row2023-08-07

Common Values

ValueCountFrequency (%)
2023-08-07 25
100.0%

Length

2023-12-13T06:01:05.698623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:05.796999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-07 25
100.0%

Interactions

2023-12-13T06:01:02.866983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:01:05.847485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번승인단체사업장위치승인품목
연번1.0001.0001.0000.914
승인단체1.0001.0001.0001.000
사업장위치1.0001.0001.0001.000
승인품목0.9141.0001.0001.000

Missing values

2023-12-13T06:01:02.997355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:01:03.107228image/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

연번승인단체사업장위치승인품목데이터기준일자
01미미청아랑 주식회사 농업회사법인경기도 광주시 곤지암읍 광여로862번길 53-101느타리버섯2023-08-07
12도척버섯작목반경기도 광주시 도척면 도척로 1084-75느타리, 표고2023-08-07
23축협(광주지구)경기도 광주시 경안천로 45한우2023-08-07
34다한영농조합법인경기도 광주시 곤지암읍 경충대로 101번길 38계란2023-08-07
45투엘(주)농업회사법인경기도 광주시 곤지암읍 새재길 177느타리2023-08-07
56자연채토마토연구회경기도 광주시 남종면 금사리 220-8토마토2023-08-07
67초월버섯작목반경기도 광주시 초월읍 무들로 180-3 외 2개소느타리2023-08-07
78사회적기업 청보 농업회사법인㈜경기도 광주시 초월읍 지월로 93번길 2상추 외 36개 품목2023-08-07
89농업회사법인지마크연합사업단(주)경기도 광주시 초월읍 경안천로 502-34토마토 외 7개 품목2023-08-07
910(주)드림엘푸드경기도 광주시 곤지암읍 신만로 436번길 5-1김치류2023-08-07
연번승인단체사업장위치승인품목데이터기준일자
1516수수락딸기연구회경기도 광주시 남종면 삼성리 291-51딸기2023-08-07
1617광주배연구회경기도 광주시 남종면 검천리 735-1배2023-08-07
1718성우농장경기도 광주시 남종면 태허정로 476복숭아, 자두2023-08-07
1819더큰농원경기도 광주시 초월읍 해공로 549-48비타민 외 82023-08-07
1920광주시감귤연구회경기도 광주시 남종면 태허정로 545-4감귤2023-08-07
2021서하리작목반경기도 광주시 초월읍 해공로 586토마토 외 132023-08-07
2122청오건강농업회사법인㈜경기도 광주시 도척면 도척로584번길 62-1미숫가루2023-08-07
2223농업회사법인㈜샐리의식탁경기도 광주시 곤지암읍 신만로 71-11양채류2023-08-07
2324광주친환경출하회경기도 광주시 남종면 귀여길8번길 21-27시금치외 202023-08-07
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