Overview

Dataset statistics

Number of variables11
Number of observations244
Missing cells76
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory90.5 B

Variable types

Text4
DateTime1
Categorical4
Numeric2

Dataset

Description전북특별자치도 전주시 내 식품제조가공업을 제공하며, 사업장명, 인허가일자, 영업상태명, 전화번호 등을 제공합니다.항목 : 사업장명, 인허가일자, 영업상태명, 소재지전화번호, 도로명주소, 지번주소 등제공부서 : 환경위생과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15068637/fileData.do

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
급수시설구분명 is highly imbalanced (70.8%)Imbalance
소재지전화 has 76 (31.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 19:43:18.547072
Analysis finished2024-03-14 19:43:21.247925
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct243
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T04:43:21.934356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.6352459
Min length2

Characters and Unicode

Total characters1863
Distinct characters318
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)99.2%

Sample

1st row(유)다락에프앤비
2nd row(유)대현물산
3rd row(유)도도랑
4th row(유)동건홀딩스
5th row(유)명인푸드
ValueCountFrequency (%)
주식회사 11
 
4.1%
유한회사 4
 
1.5%
농업회사법인 4
 
1.5%
전주지역자활센터 2
 
0.7%
한입푸드 2
 
0.7%
옛날시골찐빵 1
 
0.4%
전주 1
 
0.4%
온고을 1
 
0.4%
맛김 1
 
0.4%
전주기전대학(학교기업제이케이푸드 1
 
0.4%
Other values (243) 243
89.7%
2024-03-15T04:43:23.354820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 90
 
4.8%
사 80
 
4.3%
식 78
 
4.2%
회 76
 
4.1%
) 51
 
2.7%
( 51
 
2.7%
품 43
 
2.3%
전 36
 
1.9%
농 35
 
1.9%
이 35
 
1.9%
Other values (308) 1288
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1720
92.3%
Close Punctuation 51
 
2.7%
Open Punctuation 51
 
2.7%
Space Separator 27
 
1.4%
Decimal Number 9
 
0.5%
Uppercase Letter 3
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 90
 
5.2%
사 80
 
4.7%
식 78
 
4.5%
회 76
 
4.4%
품 43
 
2.5%
전 36
 
2.1%
농 35
 
2.0%
이 35
 
2.0%
한 35
 
2.0%
유 32
 
1.9%
Other values (297) 1180
68.6%
Decimal Number
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
C 1
33.3%
H 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
o 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1720
92.3%
Common 138
 
7.4%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 90
 
5.2%
사 80
 
4.7%
식 78
 
4.5%
회 76
 
4.4%
품 43
 
2.5%
전 36
 
2.1%
농 35
 
2.0%
이 35
 
2.0%
한 35
 
2.0%
유 32
 
1.9%
Other values (297) 1180
68.6%
Common
ValueCountFrequency (%)
) 51
37.0%
( 51
37.0%
27
19.6%
1 6
 
4.3%
2 2
 
1.4%
3 1
 
0.7%
Latin
ValueCountFrequency (%)
J 1
20.0%
m 1
20.0%
o 1
20.0%
C 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1720
92.3%
ASCII 143
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 90
 
5.2%
사 80
 
4.7%
식 78
 
4.5%
회 76
 
4.4%
품 43
 
2.5%
전 36
 
2.1%
농 35
 
2.0%
이 35
 
2.0%
한 35
 
2.0%
유 32
 
1.9%
Other values (297) 1180
68.6%
ASCII
ValueCountFrequency (%)
) 51
35.7%
( 51
35.7%
27
18.9%
1 6
 
4.2%
2 2
 
1.4%
3 1
 
0.7%
J 1
 
0.7%
m 1
 
0.7%
o 1
 
0.7%
C 1
 
0.7%

인허가일자
Date

Distinct239
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1965-10-20 00:00:00
Maximum2022-06-20 00:00:00
2024-03-15T04:43:23.751970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:43:24.174737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업/정상
244 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 244
100.0%

Length

2024-03-15T04:43:24.601724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:43:24.910705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 244
100.0%

소재지전화
Text

MISSING 

Distinct163
Distinct (%)97.0%
Missing76
Missing (%)31.1%
Memory size2.0 KiB
2024-03-15T04:43:25.828696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters2023
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)94.6%

Sample

1st row063-241-3552
2nd row063-244-0190
3rd row063-229-9886
4th row063-714-2313
5th row063-213-8917
ValueCountFrequency (%)
063-211-9400 3
 
1.8%
063-226-2737 2
 
1.2%
063-214-1691 2
 
1.2%
063-242-0799 2
 
1.2%
063-272-2929 1
 
0.6%
063-214-8280 1
 
0.6%
063-251-8257 1
 
0.6%
063-228-8956 1
 
0.6%
063-283-6013 1
 
0.6%
063-252-3043 1
 
0.6%
Other values (153) 153
91.1%
2024-03-15T04:43:26.979634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 336
16.6%
0 287
14.2%
2 280
13.8%
3 260
12.9%
6 233
11.5%
1 149
7.4%
4 121
 
6.0%
8 105
 
5.2%
5 104
 
5.1%
7 89
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1687
83.4%
Dash Punctuation 336
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 287
17.0%
2 280
16.6%
3 260
15.4%
6 233
13.8%
1 149
8.8%
4 121
7.2%
8 105
 
6.2%
5 104
 
6.2%
7 89
 
5.3%
9 59
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 336
16.6%
0 287
14.2%
2 280
13.8%
3 260
12.9%
6 233
11.5%
1 149
7.4%
4 121
 
6.0%
8 105
 
5.2%
5 104
 
5.1%
7 89
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 336
16.6%
0 287
14.2%
2 280
13.8%
3 260
12.9%
6 233
11.5%
1 149
7.4%
4 121
 
6.0%
8 105
 
5.2%
5 104
 
5.1%
7 89
 
4.4%

도로명주소
Text

Distinct243
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T04:43:27.891357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length57
Mean length36.360656
Min length28

Characters and Unicode

Total characters8872
Distinct characters221
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)99.2%

Sample

1st row전북특별자치도 전주시 덕진구 원장동길 111-18, 전북바이오융합산업진흥원 8동 108호 (장동)
2nd row전북특별자치도 전주시 덕진구 동부대로 804 (호성동1가, 호성동 1가 758-3, 560 ㎡ 누락부분 기재 )
3rd row전북특별자치도 전주시 덕진구 중상보로 38 (우아동2가)
4th row전북특별자치도 전주시 완산구 맏내2길 19-6 (평화동2가)
5th row전북특별자치도 전주시 덕진구 하가로 21, 1층 일부호 (덕진동2가)
ValueCountFrequency (%)
전북특별자치도 244
 
14.5%
전주시 244
 
14.5%
덕진구 126
 
7.5%
완산구 118
 
7.0%
1층 60
 
3.6%
1동 20
 
1.2%
장동 18
 
1.1%
원장동길 18
 
1.1%
111-18 17
 
1.0%
성덕동 15
 
0.9%
Other values (476) 803
47.7%
2024-03-15T04:43:29.138298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1439
 
16.2%
전 528
 
6.0%
1 394
 
4.4%
동 342
 
3.9%
자 269
 
3.0%
북 260
 
2.9%
주 259
 
2.9%
) 251
 
2.8%
( 251
 
2.8%
구 249
 
2.8%
Other values (211) 4630
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5482
61.8%
Space Separator 1439
 
16.2%
Decimal Number 1193
 
13.4%
Close Punctuation 251
 
2.8%
Open Punctuation 251
 
2.8%
Other Punctuation 135
 
1.5%
Dash Punctuation 114
 
1.3%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 528
 
9.6%
동 342
 
6.2%
자 269
 
4.9%
북 260
 
4.7%
주 259
 
4.7%
구 249
 
4.5%
도 248
 
4.5%
별 245
 
4.5%
시 245
 
4.5%
치 245
 
4.5%
Other values (191) 2592
47.3%
Decimal Number
ValueCountFrequency (%)
1 394
33.0%
2 221
18.5%
3 129
 
10.8%
8 75
 
6.3%
5 74
 
6.2%
4 74
 
6.2%
7 69
 
5.8%
0 61
 
5.1%
6 57
 
4.8%
9 39
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 134
99.3%
. 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5482
61.8%
Common 3386
38.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 528
 
9.6%
동 342
 
6.2%
자 269
 
4.9%
북 260
 
4.7%
주 259
 
4.7%
구 249
 
4.5%
도 248
 
4.5%
별 245
 
4.5%
시 245
 
4.5%
치 245
 
4.5%
Other values (191) 2592
47.3%
Common
ValueCountFrequency (%)
1439
42.5%
1 394
 
11.6%
) 251
 
7.4%
( 251
 
7.4%
2 221
 
6.5%
, 134
 
4.0%
3 129
 
3.8%
- 114
 
3.4%
8 75
 
2.2%
5 74
 
2.2%
Other values (8) 304
 
9.0%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5482
61.8%
ASCII 3389
38.2%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1439
42.5%
1 394
 
11.6%
) 251
 
7.4%
( 251
 
7.4%
2 221
 
6.5%
, 134
 
4.0%
3 129
 
3.8%
- 114
 
3.4%
8 75
 
2.2%
5 74
 
2.2%
Other values (9) 307
 
9.1%
Hangul
ValueCountFrequency (%)
전 528
 
9.6%
동 342
 
6.2%
자 269
 
4.9%
북 260
 
4.7%
주 259
 
4.7%
구 249
 
4.5%
도 248
 
4.5%
별 245
 
4.5%
시 245
 
4.5%
치 245
 
4.5%
Other values (191) 2592
47.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

지번주소
Text

Distinct216
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T04:43:30.712924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length26.348361
Min length22

Characters and Unicode

Total characters6429
Distinct characters70
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

Unique205 ?
Unique (%)84.0%

Sample

1st row전북특별자치도 전주시 덕진구 장동 452-79
2nd row전북특별자치도 전주시 덕진구 호성동1가 782-3
3rd row전북특별자치도 전주시 덕진구 우아동2가 892-7
4th row전북특별자치도 전주시 완산구 평화동2가 855-4
5th row전북특별자치도 전주시 덕진구 덕진동2가 672-4
ValueCountFrequency (%)
전북특별자치도 244
20.0%
전주시 244
20.0%
덕진구 126
 
10.3%
완산구 118
 
9.7%
장동 19
 
1.6%
452-79 17
 
1.4%
성덕동 14
 
1.1%
중화산동2가 14
 
1.1%
평화동2가 12
 
1.0%
효자동3가 10
 
0.8%
Other values (273) 404
33.1%
2024-03-15T04:43:32.758070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
978
 
15.2%
전 493
 
7.7%
자 267
 
4.2%
동 249
 
3.9%
도 247
 
3.8%
북 246
 
3.8%
특 244
 
3.8%
별 244
 
3.8%
치 244
 
3.8%
주 244
 
3.8%
Other values (60) 2973
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4051
63.0%
Decimal Number 1180
 
18.4%
Space Separator 978
 
15.2%
Dash Punctuation 220
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 493
 
12.2%
자 267
 
6.6%
동 249
 
6.1%
도 247
 
6.1%
북 246
 
6.1%
특 244
 
6.0%
별 244
 
6.0%
치 244
 
6.0%
주 244
 
6.0%
시 244
 
6.0%
Other values (48) 1329
32.8%
Decimal Number
ValueCountFrequency (%)
1 220
18.6%
2 209
17.7%
3 129
10.9%
5 123
10.4%
7 104
8.8%
4 99
8.4%
9 83
 
7.0%
8 81
 
6.9%
6 80
 
6.8%
0 52
 
4.4%
Space Separator
ValueCountFrequency (%)
978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4051
63.0%
Common 2378
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 493
 
12.2%
자 267
 
6.6%
동 249
 
6.1%
도 247
 
6.1%
북 246
 
6.1%
특 244
 
6.0%
별 244
 
6.0%
치 244
 
6.0%
주 244
 
6.0%
시 244
 
6.0%
Other values (48) 1329
32.8%
Common
ValueCountFrequency (%)
978
41.1%
- 220
 
9.3%
1 220
 
9.3%
2 209
 
8.8%
3 129
 
5.4%
5 123
 
5.2%
7 104
 
4.4%
4 99
 
4.2%
9 83
 
3.5%
8 81
 
3.4%
Other values (2) 132
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4051
63.0%
ASCII 2378
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
978
41.1%
- 220
 
9.3%
1 220
 
9.3%
2 209
 
8.8%
3 129
 
5.4%
5 123
 
5.2%
7 104
 
4.4%
4 99
 
4.2%
9 83
 
3.5%
8 81
 
3.4%
Other values (2) 132
 
5.6%
Hangul
ValueCountFrequency (%)
전 493
 
12.2%
자 267
 
6.6%
동 249
 
6.1%
도 247
 
6.1%
북 246
 
6.1%
특 244
 
6.0%
별 244
 
6.0%
치 244
 
6.0%
주 244
 
6.0%
시 244
 
6.0%
Other values (48) 1329
32.8%

위도
Real number (ℝ)

Distinct217
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.832111
Minimum35.753681
Maximum35.891883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-15T04:43:33.071821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.753681
5-th percentile35.786876
Q135.81232
median35.830526
Q335.851583
95-th percentile35.881746
Maximum35.891883
Range0.1382016
Interquartile range (IQR)0.039263255

Descriptive statistics

Standard deviation0.028608204
Coefficient of variation (CV)0.00079839572
Kurtosis-0.60666175
Mean35.832111
Median Absolute Deviation (MAD)0.02105713
Skewness-0.033294016
Sum8743.035
Variance0.00081842932
MonotonicityNot monotonic
2024-03-15T04:43:33.388240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.85158309 17
 
7.0%
35.88509184 3
 
1.2%
35.88263254 3
 
1.2%
35.82449276 2
 
0.8%
35.85362384 2
 
0.8%
35.8422841 2
 
0.8%
35.79971834 2
 
0.8%
35.85746963 2
 
0.8%
35.86580088 2
 
0.8%
35.86105113 2
 
0.8%
Other values (207) 207
84.8%
ValueCountFrequency (%)
35.7536814 1
0.4%
35.760848 1
0.4%
35.76458738 1
0.4%
35.77568811 1
0.4%
35.77975611 1
0.4%
35.78002691 1
0.4%
35.78305084 1
0.4%
35.78309899 1
0.4%
35.78456415 1
0.4%
35.78476163 1
0.4%
ValueCountFrequency (%)
35.891883 1
 
0.4%
35.88509184 3
1.2%
35.88502169 1
 
0.4%
35.88493988 1
 
0.4%
35.88452216 1
 
0.4%
35.88446932 1
 
0.4%
35.8844629 1
 
0.4%
35.88263254 3
1.2%
35.88206982 1
 
0.4%
35.87990938 1
 
0.4%

경도
Real number (ℝ)

Distinct217
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.1144
Minimum127.01113
Maximum127.18406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-15T04:43:33.810354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01113
5-th percentile127.03502
Q1127.09269
median127.11903
Q3127.14397
95-th percentile127.17062
Maximum127.18406
Range0.1729335
Interquartile range (IQR)0.0512779

Descriptive statistics

Standard deviation0.039006781
Coefficient of variation (CV)0.00030686359
Kurtosis-0.36012552
Mean127.1144
Median Absolute Deviation (MAD)0.02548745
Skewness-0.59071986
Sum31015.914
Variance0.001521529
MonotonicityNot monotonic
2024-03-15T04:43:34.253204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0591672 17
 
7.0%
127.0332793 3
 
1.2%
127.0337834 3
 
1.2%
127.1572362 2
 
0.8%
127.1026225 2
 
0.8%
127.1672728 2
 
0.8%
127.1750577 2
 
0.8%
127.0879123 2
 
0.8%
127.0676339 2
 
0.8%
127.0789469 2
 
0.8%
Other values (207) 207
84.8%
ValueCountFrequency (%)
127.0111312 1
 
0.4%
127.0149089 1
 
0.4%
127.0265348 1
 
0.4%
127.0329587 1
 
0.4%
127.0332793 3
1.2%
127.0337834 3
1.2%
127.0342101 1
 
0.4%
127.0347177 1
 
0.4%
127.0348732 1
 
0.4%
127.0358515 1
 
0.4%
ValueCountFrequency (%)
127.1840647 1
0.4%
127.1777512 1
0.4%
127.17571 1
0.4%
127.1750577 2
0.8%
127.1750524 1
0.4%
127.1734269 1
0.4%
127.1731207 1
0.4%
127.1725711 1
0.4%
127.1718648 1
0.4%
127.1716891 1
0.4%

위생업태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
식품제조가공업
130 
기타 식품제조가공업
110 
도시락제조업
 
3
PB제품 제조업체
 
1

Length

Max length10
Median length7
Mean length8.3483607
Min length6

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 130
53.3%
기타 식품제조가공업 110
45.1%
도시락제조업 3
 
1.2%
PB제품 제조업체 1
 
0.4%

Length

2024-03-15T04:43:34.634291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:43:34.981710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 240
67.6%
기타 110
31.0%
도시락제조업 3
 
0.8%
pb제품 1
 
0.3%
제조업체 1
 
0.3%

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
상수도전용
218 
<NA>
 
21
지하수전용
 
3
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length17
Median length5
Mean length5.0122951
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 218
89.3%
<NA> 21
 
8.6%
지하수전용 3
 
1.2%
상수도(음용)지하수(주방용)겸용 2
 
0.8%

Length

2024-03-15T04:43:35.467775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:43:35.840883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 218
89.3%
na 21
 
8.6%
지하수전용 3
 
1.2%
상수도(음용)지하수(주방용)겸용 2
 
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-11-27
244 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-27
2nd row2023-11-27
3rd row2023-11-27
4th row2023-11-27
5th row2023-11-27

Common Values

ValueCountFrequency (%)
2023-11-27 244
100.0%

Length

2024-03-15T04:43:36.245644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:43:36.623057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-27 244
100.0%

Interactions

2024-03-15T04:43:19.806816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:43:19.289369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:43:20.069774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:43:19.546286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:43:36.805336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도위생업태명급수시설구분명
위도1.0000.8380.1890.322
경도0.8381.0000.2480.645
위생업태명0.1890.2481.0000.000
급수시설구분명0.3220.6450.0001.000
2024-03-15T04:43:37.198410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위생업태명급수시설구분명
위생업태명1.0000.000
급수시설구분명0.0001.000
2024-03-15T04:43:37.427006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도위생업태명급수시설구분명
위도1.000-0.4830.1120.200
경도-0.4831.0000.1480.485
위생업태명0.1120.1481.0000.000
급수시설구분명0.2000.4850.0001.000

Missing values

2024-03-15T04:43:20.542574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:43:21.048587image/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

사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도위생업태명급수시설구분명데이터기준일자
0(유)다락에프앤비2022-01-12영업/정상<NA>전북특별자치도 전주시 덕진구 원장동길 111-18, 전북바이오융합산업진흥원 8동 108호 (장동)전북특별자치도 전주시 덕진구 장동 452-7935.851583127.059167기타 식품제조가공업상수도전용2023-11-27
1(유)대현물산1990-09-13영업/정상063-241-3552전북특별자치도 전주시 덕진구 동부대로 804 (호성동1가, 호성동 1가 758-3, 560 ㎡ 누락부분 기재 )전북특별자치도 전주시 덕진구 호성동1가 782-335.860118127.154584식품제조가공업상수도전용2023-11-27
2(유)도도랑2012-08-08영업/정상063-244-0190전북특별자치도 전주시 덕진구 중상보로 38 (우아동2가)전북특별자치도 전주시 덕진구 우아동2가 892-735.833333127.171689식품제조가공업상수도전용2023-11-27
3(유)동건홀딩스1998-05-08영업/정상063-229-9886전북특별자치도 전주시 완산구 맏내2길 19-6 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 855-435.791868127.129388식품제조가공업상수도전용2023-11-27
4(유)명인푸드2020-10-29영업/정상063-714-2313전북특별자치도 전주시 덕진구 하가로 21, 1층 일부호 (덕진동2가)전북특별자치도 전주시 덕진구 덕진동2가 672-435.84423127.111552기타 식품제조가공업상수도전용2023-11-27
5(유)봉춘식품2018-07-13영업/정상<NA>전북특별자치도 전주시 완산구 용와길 4-56, 1층 (평화동3가)전북특별자치도 전주시 완산구 평화동3가 249-535.779756127.113302기타 식품제조가공업상수도전용2023-11-27
6(유)아이에스티케이32017-08-21영업/정상<NA>전북특별자치도 전주시 덕진구 원장동길 111-18, 1동 4층 406-1호 (장동, 바이오파크인프라공장동)전북특별자치도 전주시 덕진구 장동 452-7935.851583127.059167기타 식품제조가공업상수도전용2023-11-27
7(유)코니델2014-02-11영업/정상063-213-8917전북특별자치도 전주시 덕진구 신성길 81 (성덕동)전북특별자치도 전주시 덕진구 성덕동 173-5335.884469127.035852식품제조가공업상수도전용2023-11-27
8(유한회사)동성물산1982-03-24영업/정상<NA>전북특별자치도 전주시 덕진구 신복로 119-11 (팔복동1가)전북특별자치도 전주시 덕진구 팔복동1가 238-535.85884127.102597식품제조가공업상수도전용2023-11-27
9(주)겐돈에프엔비2014-10-02영업/정상063-241-1608전북특별자치도 전주시 덕진구 동가재미2길 55 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 850-1235.834799127.166395식품제조가공업상수도전용2023-11-27
사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도위생업태명급수시설구분명데이터기준일자
234함씨네토종콩식품1973-01-30영업/정상063-211-7955전북특별자치도 전주시 덕진구 신복5길 10 (팔복동1가)전북특별자치도 전주시 덕진구 팔복동1가 137-235.853874127.10654식품제조가공업상수도전용2023-11-27
235해초동산선비식품2002-06-12영업/정상063-212-4388전북특별자치도 전주시 덕진구 구주길 3 (팔복동3가)전북특별자치도 전주시 덕진구 팔복동3가 1735.845429127.103223식품제조가공업상수도전용2023-11-27
236행복한아시아예일푸드2015-12-16영업/정상<NA>전북특별자치도 전주시 완산구 효동2길 23 (효자동1가, 지하1층)전북특별자치도 전주시 완산구 효자동1가 206-13235.804419127.126776기타 식품제조가공업상수도전용2023-11-27
237혁신씨푸드2015-08-04영업/정상063-213-3230전북특별자치도 전주시 덕진구 원장동길 93-1 (장동)전북특별자치도 전주시 덕진구 장동 111-335.849075127.061891기타 식품제조가공업상수도전용2023-11-27
238현대식품1986-06-26영업/정상063-284-8229전북특별자치도 전주시 완산구 곤지산1길 7 (동완산동)전북특별자치도 전주시 완산구 동완산동 42-135.810797127.145786식품제조가공업상수도전용2023-11-27
239협동조합떡무리시스템2019-10-04영업/정상<NA>전북특별자치도 전주시 덕진구 신성길 31-38, 2층 일부호 (성덕동)전북특별자치도 전주시 덕진구 성덕동 175-1435.882633127.033783기타 식품제조가공업상수도전용2023-11-27
240형제식품1995-08-11영업/정상063-224-4525전북특별자치도 전주시 완산구 산월2길 19-8, 1층 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 640-835.813826127.120712식품제조가공업상수도전용2023-11-27
241혜미강 전통발효식품2013-05-13영업/정상<NA>전북특별자치도 전주시 완산구 모악산자락길 270-21 (원당동)전북특별자치도 전주시 완산구 원당동 20-135.753681127.118656식품제조가공업상수도전용2023-11-27
242혼담은홍삼2010-04-09영업/정상063-236-2353전북특별자치도 전주시 완산구 하거마1길 5 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 698-835.792883127.11935식품제조가공업상수도전용2023-11-27
243훼미리식품주식회사1982-11-09영업/정상063-712-6142전북특별자치도 전주시 덕진구 팔과정로 216 (팔복동4가)전북특별자치도 전주시 덕진구 팔복동4가 249-335.864458127.098326식품제조가공업상수도전용2023-11-27