Overview

Dataset statistics

Number of variables5
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description전북특별자치도 김제시 식품제조가공업 현황 및 위생관리입니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=4&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15042614

Alerts

업종명 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:19:16.723318
Analysis finished2024-03-14 02:19:17.162045
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T11:19:17.226496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-03-14T11:19:17.370280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
식품제조가공업
111 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 111
100.0%

Length

2024-03-14T11:19:17.474045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:19:17.548225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 111
100.0%

업소명
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-03-14T11:19:17.710606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.7927928
Min length2

Characters and Unicode

Total characters976
Distinct characters223
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

Unique111 ?
Unique (%)100.0%

Sample

1st row(유)서해식품
2nd row(유)신포우리식품
3rd row(유)씨에프
4th row(유)에스제이엠
5th row(유)태신물산
ValueCountFrequency (%)
영농조합법인 7
 
5.1%
농업회사법인 7
 
5.1%
주식회사 5
 
3.6%
유한회사 3
 
2.2%
제2공장 2
 
1.4%
주)참고을 2
 
1.4%
하소백련 2
 
1.4%
오성푸드 1
 
0.7%
두리원 1
 
0.7%
맛남 1
 
0.7%
Other values (107) 107
77.5%
2024-03-14T11:19:18.031716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 52
 
5.3%
인 40
 
4.1%
법 39
 
4.0%
사 38
 
3.9%
회 35
 
3.6%
( 29
 
3.0%
) 29
 
3.0%
27
 
2.8%
주 25
 
2.6%
조 24
 
2.5%
Other values (213) 638
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
88.8%
Open Punctuation 29
 
3.0%
Close Punctuation 29
 
3.0%
Space Separator 27
 
2.8%
Uppercase Letter 10
 
1.0%
Lowercase Letter 7
 
0.7%
Decimal Number 5
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 52
 
6.0%
인 40
 
4.6%
법 39
 
4.5%
사 38
 
4.4%
회 35
 
4.0%
주 25
 
2.9%
조 24
 
2.8%
식 24
 
2.8%
영 24
 
2.8%
합 24
 
2.8%
Other values (195) 542
62.5%
Uppercase Letter
ValueCountFrequency (%)
F 3
30.0%
O 3
30.0%
D 2
20.0%
B 1
 
10.0%
G 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
28.6%
i 2
28.6%
r 1
14.3%
z 1
14.3%
o 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 1
20.0%
6 1
20.0%
5 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
88.8%
Common 92
 
9.4%
Latin 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 52
 
6.0%
인 40
 
4.6%
법 39
 
4.5%
사 38
 
4.4%
회 35
 
4.0%
주 25
 
2.9%
조 24
 
2.8%
식 24
 
2.8%
영 24
 
2.8%
합 24
 
2.8%
Other values (195) 542
62.5%
Latin
ValueCountFrequency (%)
F 3
17.6%
O 3
17.6%
a 2
11.8%
i 2
11.8%
D 2
11.8%
B 1
 
5.9%
r 1
 
5.9%
z 1
 
5.9%
G 1
 
5.9%
o 1
 
5.9%
Common
ValueCountFrequency (%)
( 29
31.5%
) 29
31.5%
27
29.3%
& 2
 
2.2%
2 2
 
2.2%
3 1
 
1.1%
6 1
 
1.1%
5 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
88.8%
ASCII 109
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 52
 
6.0%
인 40
 
4.6%
법 39
 
4.5%
사 38
 
4.4%
회 35
 
4.0%
주 25
 
2.9%
조 24
 
2.8%
식 24
 
2.8%
영 24
 
2.8%
합 24
 
2.8%
Other values (195) 542
62.5%
ASCII
ValueCountFrequency (%)
( 29
26.6%
) 29
26.6%
27
24.8%
F 3
 
2.8%
O 3
 
2.8%
a 2
 
1.8%
i 2
 
1.8%
& 2
 
1.8%
D 2
 
1.8%
2 2
 
1.8%
Other values (8) 8
 
7.3%

소재지(도로명)
Text

Distinct107
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-03-14T11:19:18.366170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length22.882883
Min length19

Characters and Unicode

Total characters2540
Distinct characters120
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

Unique104 ?
Unique (%)93.7%

Sample

1st row전라북도 김제시 순동2길 201 (순동)
2nd row전라북도 김제시 황산면 용마로 429-9
3rd row전라북도 김제시 금산면 원평10길 15
4th row전라북도 김제시 서흥공단2길 100 (흥사동)
5th row전라북도 김제시 월촌공단길 110-45 (연정동)
ValueCountFrequency (%)
전라북도 111
 
19.6%
김제시 111
 
19.6%
금산면 13
 
2.3%
순동 11
 
1.9%
금구면 10
 
1.8%
용지면 7
 
1.2%
오정동 6
 
1.1%
백구면 6
 
1.1%
순동산단길 6
 
1.1%
황산면 6
 
1.1%
Other values (212) 279
49.3%
2024-03-14T11:19:19.114762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
17.9%
북 114
 
4.5%
도 113
 
4.4%
전 112
 
4.4%
시 112
 
4.4%
제 111
 
4.4%
라 111
 
4.4%
김 111
 
4.4%
1 104
 
4.1%
길 77
 
3.0%
Other values (110) 1120
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1498
59.0%
Space Separator 455
 
17.9%
Decimal Number 439
 
17.3%
Dash Punctuation 50
 
2.0%
Open Punctuation 42
 
1.7%
Close Punctuation 42
 
1.7%
Other Punctuation 12
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 114
 
7.6%
도 113
 
7.5%
전 112
 
7.5%
시 112
 
7.5%
제 111
 
7.4%
라 111
 
7.4%
김 111
 
7.4%
길 77
 
5.1%
면 71
 
4.7%
동 58
 
3.9%
Other values (93) 508
33.9%
Decimal Number
ValueCountFrequency (%)
1 104
23.7%
2 75
17.1%
3 40
 
9.1%
4 37
 
8.4%
5 36
 
8.2%
7 34
 
7.7%
8 34
 
7.7%
0 30
 
6.8%
9 27
 
6.2%
6 22
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1498
59.0%
Common 1040
40.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 114
 
7.6%
도 113
 
7.5%
전 112
 
7.5%
시 112
 
7.5%
제 111
 
7.4%
라 111
 
7.4%
김 111
 
7.4%
길 77
 
5.1%
면 71
 
4.7%
동 58
 
3.9%
Other values (93) 508
33.9%
Common
ValueCountFrequency (%)
455
43.8%
1 104
 
10.0%
2 75
 
7.2%
- 50
 
4.8%
( 42
 
4.0%
) 42
 
4.0%
3 40
 
3.8%
4 37
 
3.6%
5 36
 
3.5%
7 34
 
3.3%
Other values (5) 125
 
12.0%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1498
59.0%
ASCII 1042
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
455
43.7%
1 104
 
10.0%
2 75
 
7.2%
- 50
 
4.8%
( 42
 
4.0%
) 42
 
4.0%
3 40
 
3.8%
4 37
 
3.6%
5 36
 
3.5%
7 34
 
3.3%
Other values (7) 127
 
12.2%
Hangul
ValueCountFrequency (%)
북 114
 
7.6%
도 113
 
7.5%
전 112
 
7.5%
시 112
 
7.5%
제 111
 
7.4%
라 111
 
7.4%
김 111
 
7.4%
길 77
 
5.1%
면 71
 
4.7%
동 58
 
3.9%
Other values (93) 508
33.9%

소재지전화
Text

Distinct98
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-03-14T11:19:19.361239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.234234
Min length7

Characters and Unicode

Total characters1469
Distinct characters18
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

Unique95 ?
Unique (%)85.6%

Sample

1st row063 -547 -7727
2nd row063 -546 -7501
3rd row063 -545 -8855
4th row063 -547 -2406
5th row070 -8809-8464
ValueCountFrequency (%)
063 93
30.5%
547 22
 
7.2%
546 14
 
4.6%
데이터 12
 
3.9%
미집계 12
 
3.9%
542 11
 
3.6%
544 11
 
3.6%
543 11
 
3.6%
545 8
 
2.6%
070 5
 
1.6%
Other values (103) 106
34.8%
2024-03-14T11:19:19.693169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
13.9%
- 198
13.5%
0 162
11.0%
6 157
10.7%
3 150
10.2%
5 145
9.9%
4 128
8.7%
7 71
 
4.8%
2 67
 
4.6%
8 43
 
2.9%
Other values (8) 144
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 995
67.7%
Space Separator 204
 
13.9%
Dash Punctuation 198
 
13.5%
Other Letter 72
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
16.3%
6 157
15.8%
3 150
15.1%
5 145
14.6%
4 128
12.9%
7 71
7.1%
2 67
6.7%
8 43
 
4.3%
9 40
 
4.0%
1 32
 
3.2%
Other Letter
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1397
95.1%
Hangul 72
 
4.9%

Most frequent character per script

Common
ValueCountFrequency (%)
204
14.6%
- 198
14.2%
0 162
11.6%
6 157
11.2%
3 150
10.7%
5 145
10.4%
4 128
9.2%
7 71
 
5.1%
2 67
 
4.8%
8 43
 
3.1%
Other values (2) 72
 
5.2%
Hangul
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1397
95.1%
Hangul 72
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
14.6%
- 198
14.2%
0 162
11.6%
6 157
11.2%
3 150
10.7%
5 145
10.4%
4 128
9.2%
7 71
 
5.1%
2 67
 
4.8%
8 43
 
3.1%
Other values (2) 72
 
5.2%
Hangul
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%

Interactions

2024-03-14T11:19:16.964781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:19:19.773185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0000.852
소재지전화0.8521.000

Missing values

2024-03-14T11:19:17.045657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:19:17.129546image/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

연번업종명업소명소재지(도로명)소재지전화
01식품제조가공업(유)서해식품전라북도 김제시 순동2길 201 (순동)063 -547 -7727
12식품제조가공업(유)신포우리식품전라북도 김제시 황산면 용마로 429-9063 -546 -7501
23식품제조가공업(유)씨에프전라북도 김제시 금산면 원평10길 15063 -545 -8855
34식품제조가공업(유)에스제이엠전라북도 김제시 서흥공단2길 100 (흥사동)063 -547 -2406
45식품제조가공업(유)태신물산전라북도 김제시 월촌공단길 110-45 (연정동)070 -8809-8464
56식품제조가공업(주)김정문알로에전라북도 김제시 금구면 금백로 459063 -547 -9683
67식품제조가공업(주)삼익유가공전라북도 김제시 봉황공단1길 303 (오정동)063 -546 -3211
78식품제조가공업(주)서주전라북도 김제시 중앙로 79 (요촌동)063 -543 -7065
89식품제조가공업(주)선태동굴식품전라북도 김제시 금구면 광현1길 84063 -547 -2335
910식품제조가공업(주)엄지식품전라북도 김제시 봉황공단2길 107 (오정동)063 -547 -0606
연번업종명업소명소재지(도로명)소재지전화
101102식품제조가공업코엔에프(유)전라북도 김제시 금구면 봉두로 148-22063 -717 -8001
102103식품제조가공업콩순이전라북도 김제시 금구면 낙성2길 71-7063 -546 -5631
103104식품제조가공업하늘선남포영농조합법인전라북도 김제시 성덕면 지평선로 128063 -544 -7737
104105식품제조가공업해락전라북도 김제시 서낭당길 17 (요촌동)063 -544 -9005
105106식품제조가공업해풍친환경영농조합법인전라북도 김제시 청하면 청하2길 354063 -543 -3000
106107식품제조가공업헌드레드퍼센트전라북도 김제시 남북로 47 (신풍동)070 -8623-9100
107108식품제조가공업환희식품전라북도 김제시 금산면 구성길 248063 -545 -6113
108109식품제조가공업황금들영농조합법인전라북도 김제시 순동산단길 60 (순동)063 -548 -7770
109110식품제조가공업황금어장식품전라북도 김제시 금성로 24 (신풍동)063 -547 -5511
110111식품제조가공업황토영농조합법인전라북도 김제시 용지면 예촌3길 30-11063 -545 -8750