Overview

Dataset statistics

Number of variables7
Number of observations720
Missing cells395
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.2 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description인천광역시 남동구 축산물위생업현황에 대한 데이터로 판매업구분명, 사업장명칭, 사업장소재지(지번), 사업장소재지(도로명), 전화번호 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067157&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 판매업구분명High correlation
판매업구분명 is highly overall correlated with 연번High correlation
사업장소재지(도로명) has 59 (8.2%) missing valuesMissing
전화번호 has 336 (46.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:05:17.419067
Analysis finished2024-01-28 09:05:18.179183
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.5
Minimum1
Maximum720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-01-28T18:05:18.251379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.95
Q1180.75
median360.5
Q3540.25
95-th percentile684.05
Maximum720
Range719
Interquartile range (IQR)359.5

Descriptive statistics

Standard deviation207.99038
Coefficient of variation (CV)0.57694975
Kurtosis-1.2
Mean360.5
Median Absolute Deviation (MAD)180
Skewness0
Sum259560
Variance43260
MonotonicityStrictly increasing
2024-01-28T18:05:18.371157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
475 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
Other values (710) 710
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%
712 1
0.1%
711 1
0.1%

판매업구분명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
식육판매업
434 
식육즉석판매가공업
224 
식육포장처리업
52 
축산물운반업
 
7
축산물보관업
 
3

Length

Max length9
Median length5
Mean length6.4027778
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 434
60.3%
식육즉석판매가공업 224
31.1%
식육포장처리업 52
 
7.2%
축산물운반업 7
 
1.0%
축산물보관업 3
 
0.4%

Length

2024-01-28T18:05:18.488988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:05:18.599710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 434
60.3%
식육즉석판매가공업 224
31.1%
식육포장처리업 52
 
7.2%
축산물운반업 7
 
1.0%
축산물보관업 3
 
0.4%

사업장명칭
Text

Distinct652
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-01-28T18:05:18.788660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.3194444
Min length2

Characters and Unicode

Total characters4550
Distinct characters403
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)83.1%

Sample

1st row두지종합축산
2nd row주식회사 디딤이앤에프
3rd row주식회사 유니온푸드
4th row청운유통
5th row창익
ValueCountFrequency (%)
주식회사 46
 
5.1%
정육점 14
 
1.5%
축산 13
 
1.4%
정육 6
 
0.7%
푸줏간 5
 
0.5%
구월점 5
 
0.5%
농업회사법인 5
 
0.5%
두총각네축산 5
 
0.5%
대성축산 4
 
0.4%
열린축산 4
 
0.4%
Other values (712) 803
88.2%
2024-01-28T18:05:19.118186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
4.2%
산 181
 
4.0%
축 173
 
3.8%
정 157
 
3.5%
육 138
 
3.0%
주 137
 
3.0%
점 124
 
2.7%
한 108
 
2.4%
트 107
 
2.4%
) 94
 
2.1%
Other values (393) 3140
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4102
90.2%
Space Separator 191
 
4.2%
Close Punctuation 94
 
2.1%
Open Punctuation 94
 
2.1%
Uppercase Letter 25
 
0.5%
Lowercase Letter 21
 
0.5%
Decimal Number 18
 
0.4%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 181
 
4.4%
축 173
 
4.2%
정 157
 
3.8%
육 138
 
3.4%
주 137
 
3.3%
점 124
 
3.0%
한 108
 
2.6%
트 107
 
2.6%
우 88
 
2.1%
마 85
 
2.1%
Other values (362) 2804
68.4%
Uppercase Letter
ValueCountFrequency (%)
G 4
16.0%
F 4
16.0%
K 4
16.0%
S 3
12.0%
O 3
12.0%
B 2
8.0%
P 1
 
4.0%
E 1
 
4.0%
H 1
 
4.0%
T 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
28.6%
l 5
23.8%
d 2
 
9.5%
a 2
 
9.5%
b 2
 
9.5%
s 1
 
4.8%
e 1
 
4.8%
u 1
 
4.8%
p 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
5 5
27.8%
6 5
27.8%
3 5
27.8%
2 3
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
: 1
20.0%
· 1
20.0%
@ 1
20.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4102
90.2%
Common 402
 
8.8%
Latin 46
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 181
 
4.4%
축 173
 
4.2%
정 157
 
3.8%
육 138
 
3.4%
주 137
 
3.3%
점 124
 
3.0%
한 108
 
2.6%
트 107
 
2.6%
우 88
 
2.1%
마 85
 
2.1%
Other values (362) 2804
68.4%
Latin
ValueCountFrequency (%)
o 6
13.0%
l 5
10.9%
G 4
 
8.7%
F 4
 
8.7%
K 4
 
8.7%
S 3
 
6.5%
O 3
 
6.5%
d 2
 
4.3%
a 2
 
4.3%
b 2
 
4.3%
Other values (10) 11
23.9%
Common
ValueCountFrequency (%)
191
47.5%
) 94
23.4%
( 94
23.4%
5 5
 
1.2%
6 5
 
1.2%
3 5
 
1.2%
2 3
 
0.7%
& 2
 
0.5%
: 1
 
0.2%
· 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4102
90.2%
ASCII 447
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
42.7%
) 94
21.0%
( 94
21.0%
o 6
 
1.3%
l 5
 
1.1%
5 5
 
1.1%
6 5
 
1.1%
3 5
 
1.1%
G 4
 
0.9%
F 4
 
0.9%
Other values (20) 34
 
7.6%
Hangul
ValueCountFrequency (%)
산 181
 
4.4%
축 173
 
4.2%
정 157
 
3.8%
육 138
 
3.4%
주 137
 
3.3%
점 124
 
3.0%
한 108
 
2.6%
트 107
 
2.6%
우 88
 
2.1%
마 85
 
2.1%
Other values (362) 2804
68.4%
None
ValueCountFrequency (%)
· 1
100.0%

사업장소재지(지번)
Text

Distinct632
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-01-28T18:05:19.383075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length21.609722
Min length14

Characters and Unicode

Total characters15559
Distinct characters147
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

Unique558 ?
Unique (%)77.5%

Sample

1st row인천광역시 남동구 간석동 108-13
2nd row인천광역시 남동구 논현동 642-4
3rd row인천광역시 남동구 구월동 1294-3
4th row인천광역시 남동구 만수동 1097
5th row인천광역시 남동구 장수동 793-7
ValueCountFrequency (%)
인천광역시 720
23.3%
남동구 720
23.3%
구월동 156
 
5.1%
만수동 153
 
5.0%
간석동 132
 
4.3%
논현동 106
 
3.4%
고잔동 40
 
1.3%
남촌동 38
 
1.2%
서창동 31
 
1.0%
장수동 30
 
1.0%
Other values (727) 958
31.1%
2024-01-28T18:05:19.767745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3128
20.1%
동 1459
 
9.4%
구 884
 
5.7%
1 815
 
5.2%
남 759
 
4.9%
인 722
 
4.6%
시 721
 
4.6%
광 721
 
4.6%
천 721
 
4.6%
역 720
 
4.6%
Other values (137) 4909
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8406
54.0%
Decimal Number 3360
 
21.6%
Space Separator 3128
 
20.1%
Dash Punctuation 617
 
4.0%
Uppercase Letter 32
 
0.2%
Other Punctuation 14
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1459
17.4%
구 884
10.5%
남 759
9.0%
인 722
8.6%
시 721
8.6%
광 721
8.6%
천 721
8.6%
역 720
8.6%
수 191
 
2.3%
월 157
 
1.9%
Other values (112) 1351
16.1%
Decimal Number
ValueCountFrequency (%)
1 815
24.3%
2 357
10.6%
6 324
 
9.6%
3 320
 
9.5%
4 294
 
8.8%
0 269
 
8.0%
5 268
 
8.0%
7 254
 
7.6%
9 244
 
7.3%
8 215
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 11
34.4%
L 10
31.2%
T 3
 
9.4%
A 3
 
9.4%
O 2
 
6.2%
N 1
 
3.1%
S 1
 
3.1%
P 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 6
42.9%
@ 4
28.6%
. 2
 
14.3%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
3128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 617
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8406
54.0%
Common 7121
45.8%
Latin 32
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1459
17.4%
구 884
10.5%
남 759
9.0%
인 722
8.6%
시 721
8.6%
광 721
8.6%
천 721
8.6%
역 720
8.6%
수 191
 
2.3%
월 157
 
1.9%
Other values (112) 1351
16.1%
Common
ValueCountFrequency (%)
3128
43.9%
1 815
 
11.4%
- 617
 
8.7%
2 357
 
5.0%
6 324
 
4.5%
3 320
 
4.5%
4 294
 
4.1%
0 269
 
3.8%
5 268
 
3.8%
7 254
 
3.6%
Other values (7) 475
 
6.7%
Latin
ValueCountFrequency (%)
B 11
34.4%
L 10
31.2%
T 3
 
9.4%
A 3
 
9.4%
O 2
 
6.2%
N 1
 
3.1%
S 1
 
3.1%
P 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8406
54.0%
ASCII 7153
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3128
43.7%
1 815
 
11.4%
- 617
 
8.6%
2 357
 
5.0%
6 324
 
4.5%
3 320
 
4.5%
4 294
 
4.1%
0 269
 
3.8%
5 268
 
3.7%
7 254
 
3.6%
Other values (15) 507
 
7.1%
Hangul
ValueCountFrequency (%)
동 1459
17.4%
구 884
10.5%
남 759
9.0%
인 722
8.6%
시 721
8.6%
광 721
8.6%
천 721
8.6%
역 720
8.6%
수 191
 
2.3%
월 157
 
1.9%
Other values (112) 1351
16.1%

사업장소재지(도로명)
Text

MISSING 

Distinct621
Distinct (%)93.9%
Missing59
Missing (%)8.2%
Memory size5.8 KiB
2024-01-28T18:05:20.027666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length28.335855
Min length21

Characters and Unicode

Total characters18730
Distinct characters202
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique584 ?
Unique (%)88.4%

Sample

1st row인천광역시 남동구 간석로6번길 11 (간석동)
2nd row인천광역시 남동구 논현로46번길 39-24 (논현동)
3rd row인천광역시 남동구 인주대로 768 (구월동)
4th row인천광역시 남동구 장승로 74 (만수동)
5th row인천광역시 남동구 장자로6번길 82-26 (장수동)
ValueCountFrequency (%)
인천광역시 661
 
18.5%
남동구 661
 
18.5%
구월동 131
 
3.7%
만수동 120
 
3.4%
간석동 104
 
2.9%
논현동 85
 
2.4%
남촌동 33
 
0.9%
고잔동 32
 
0.9%
서창동 30
 
0.8%
장수동 25
 
0.7%
Other values (737) 1698
47.4%
2024-01-28T18:05:20.405956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2919
 
15.6%
동 1421
 
7.6%
구 914
 
4.9%
남 810
 
4.3%
인 717
 
3.8%
천 683
 
3.6%
역 669
 
3.6%
시 663
 
3.5%
광 662
 
3.5%
) 662
 
3.5%
Other values (192) 8610
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10961
58.5%
Decimal Number 3075
 
16.4%
Space Separator 2919
 
15.6%
Close Punctuation 662
 
3.5%
Open Punctuation 662
 
3.5%
Other Punctuation 272
 
1.5%
Dash Punctuation 127
 
0.7%
Uppercase Letter 47
 
0.3%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1421
13.0%
구 914
 
8.3%
남 810
 
7.4%
인 717
 
6.5%
천 683
 
6.2%
역 669
 
6.1%
시 663
 
6.0%
광 662
 
6.0%
로 660
 
6.0%
번 336
 
3.1%
Other values (165) 3426
31.3%
Decimal Number
ValueCountFrequency (%)
1 655
21.3%
2 418
13.6%
0 335
10.9%
3 310
10.1%
5 286
9.3%
6 262
 
8.5%
4 248
 
8.1%
7 217
 
7.1%
8 203
 
6.6%
9 141
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 15
31.9%
D 9
19.1%
A 8
17.0%
L 7
14.9%
T 3
 
6.4%
O 2
 
4.3%
N 1
 
2.1%
P 1
 
2.1%
S 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 270
99.3%
/ 1
 
0.4%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2919
100.0%
Close Punctuation
ValueCountFrequency (%)
) 662
100.0%
Open Punctuation
ValueCountFrequency (%)
( 662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10961
58.5%
Common 7722
41.2%
Latin 47
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1421
13.0%
구 914
 
8.3%
남 810
 
7.4%
인 717
 
6.5%
천 683
 
6.2%
역 669
 
6.1%
시 663
 
6.0%
광 662
 
6.0%
로 660
 
6.0%
번 336
 
3.1%
Other values (165) 3426
31.3%
Common
ValueCountFrequency (%)
2919
37.8%
) 662
 
8.6%
( 662
 
8.6%
1 655
 
8.5%
2 418
 
5.4%
0 335
 
4.3%
3 310
 
4.0%
5 286
 
3.7%
, 270
 
3.5%
6 262
 
3.4%
Other values (8) 943
 
12.2%
Latin
ValueCountFrequency (%)
B 15
31.9%
D 9
19.1%
A 8
17.0%
L 7
14.9%
T 3
 
6.4%
O 2
 
4.3%
N 1
 
2.1%
P 1
 
2.1%
S 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10961
58.5%
ASCII 7769
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2919
37.6%
) 662
 
8.5%
( 662
 
8.5%
1 655
 
8.4%
2 418
 
5.4%
0 335
 
4.3%
3 310
 
4.0%
5 286
 
3.7%
, 270
 
3.5%
6 262
 
3.4%
Other values (17) 990
 
12.7%
Hangul
ValueCountFrequency (%)
동 1421
13.0%
구 914
 
8.3%
남 810
 
7.4%
인 717
 
6.5%
천 683
 
6.2%
역 669
 
6.1%
시 663
 
6.0%
광 662
 
6.0%
로 660
 
6.0%
번 336
 
3.1%
Other values (165) 3426
31.3%

전화번호
Text

MISSING 

Distinct365
Distinct (%)95.1%
Missing336
Missing (%)46.7%
Memory size5.8 KiB
2024-01-28T18:05:20.636655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026042
Min length9

Characters and Unicode

Total characters4618
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

Unique347 ?
Unique (%)90.4%

Sample

1st row032-422-4453
2nd row032-819-6870
3rd row032-468-1911
4th row032-471-5295
5th row032-466-8645
ValueCountFrequency (%)
032-874-8817 3
 
0.8%
032-431-9968 2
 
0.5%
032-427-7776 2
 
0.5%
032-812-3260 2
 
0.5%
032-464-3533 2
 
0.5%
032-517-1677 2
 
0.5%
032-471-3762 2
 
0.5%
032-422-4453 2
 
0.5%
032-425-7875 2
 
0.5%
032-818-3133 2
 
0.5%
Other values (355) 363
94.5%
2024-01-28T18:05:20.958374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 766
16.6%
2 717
15.5%
0 608
13.2%
3 605
13.1%
4 456
9.9%
6 300
 
6.5%
1 261
 
5.7%
5 251
 
5.4%
7 250
 
5.4%
8 235
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3852
83.4%
Dash Punctuation 766
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 717
18.6%
0 608
15.8%
3 605
15.7%
4 456
11.8%
6 300
7.8%
1 261
 
6.8%
5 251
 
6.5%
7 250
 
6.5%
8 235
 
6.1%
9 169
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4618
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 766
16.6%
2 717
15.5%
0 608
13.2%
3 605
13.1%
4 456
9.9%
6 300
 
6.5%
1 261
 
5.7%
5 251
 
5.4%
7 250
 
5.4%
8 235
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 766
16.6%
2 717
15.5%
0 608
13.2%
3 605
13.1%
4 456
9.9%
6 300
 
6.5%
1 261
 
5.7%
5 251
 
5.4%
7 250
 
5.4%
8 235
 
5.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-09-07
720 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 720
100.0%

Length

2024-01-28T18:05:21.068323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:05:21.147265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 720
100.0%

Interactions

2024-01-28T18:05:17.863554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:05:21.190657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.938
판매업구분명0.9381.000
2024-01-28T18:05:21.255081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.662
판매업구분명0.6621.000

Missing values

2024-01-28T18:05:17.962676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:05:18.060878image/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.
2024-01-28T18:05:18.138114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번판매업구분명사업장명칭사업장소재지(지번)사업장소재지(도로명)전화번호데이터기준일
01식육포장처리업두지종합축산인천광역시 남동구 간석동 108-13인천광역시 남동구 간석로6번길 11 (간석동)032-422-44532023-09-07
12식육포장처리업주식회사 디딤이앤에프인천광역시 남동구 논현동 642-4인천광역시 남동구 논현로46번길 39-24 (논현동)032-819-68702023-09-07
23식육포장처리업주식회사 유니온푸드인천광역시 남동구 구월동 1294-3인천광역시 남동구 인주대로 768 (구월동)032-468-19112023-09-07
34식육포장처리업청운유통인천광역시 남동구 만수동 1097인천광역시 남동구 장승로 74 (만수동)032-471-52952023-09-07
45식육포장처리업창익인천광역시 남동구 장수동 793-7인천광역시 남동구 장자로6번길 82-26 (장수동)032-466-86452023-09-07
56식육포장처리업(주)드림팟인천광역시 남동구 장수동 792-5 ,792-6인천광역시 남동구 장자로6번길 82-6 (장수동)032-472-02702023-09-07
67식육포장처리업에스디푸드인천광역시 남동구 고잔동 272인천광역시 남동구 논현고잔로109번길 38 (고잔동)0505-854-48592023-09-07
78식육포장처리업농업법인 인천축산(주)인천광역시 남동구 남촌동 491-7인천광역시 남동구 남촌로 113 (남촌동)070-8878-61512023-09-07
89식육포장처리업(주)엔타스프레쉬미트인천광역시 남동구 고잔동 720-6인천광역시 남동구 앵고개로 516 (고잔동)032-821-77152023-09-07
910식육포장처리업주식회사 훼미리푸드인천광역시 남동구 논현동 438-3 지층인천광역시 남동구 은봉로105번길 44-10, 지층 (논현동)032-817-66252023-09-07
연번판매업구분명사업장명칭사업장소재지(지번)사업장소재지(도로명)전화번호데이터기준일
710711식육즉석판매가공업늘푸른정육인천광역시 남동구 구월동 343인천광역시 남동구 구월로265번길 12-17(구월동)<NA>2023-09-07
711712식육즉석판매가공업명품축산인천광역시 남동구 구월동 1086 NS파크타운 101호인천광역시 남동구 구월남로47번길 36, 101호 (구월동, NS파크타운)032-433-27002023-09-07
712713식육즉석판매가공업골드축산인천광역시 남동구 간석동 205-1인천광역시 남동구 남동대로 880, 비동 161호 (간석동)<NA>2023-09-07
713714식육즉석판매가공업오정푸줏간인천광역시 남동구 서창동 708-3 105호인천광역시 남동구 서창방산로 55, 105호 (서창동)<NA>2023-09-07
714715식육즉석판매가공업제주 한라돈(명품 한우)인천광역시 남동구 구월동 23 힐캐슬프라자 지하1층 8호인천광역시 남동구 구월로 212, 힐캐슬프라자 지하1층 8호 (구월동)032-205-88422023-09-07
715716식육즉석판매가공업GS슈퍼 구월점인천광역시 남동구 구월동 23 힐스테이트롯데캐슬골드1단지아파트인천광역시 남동구 구월로 192, 지하1층 (구월동, 힐스테이트롯데캐슬골드1단지아파트)<NA>2023-09-07
716717식육즉석판매가공업인하정육점인천광역시 남동구 만수동 869-12 1층인천광역시 남동구 만수로 23, 1층 (만수동)<NA>2023-09-07
717718식육즉석판매가공업고기도둑인천광역시 남동구 논현동 733-3 모아프라자 105호인천광역시 남동구 논고개로 86, 모아프라자 105호 (논현동)032-710-73992023-09-07
718719식육즉석판매가공업어울림 축산인천광역시 남동구 간석동 294-3인천광역시 남동구 남동대로837번길 23 (간석동)<NA>2023-09-07
719720식육즉석판매가공업우정축산인천광역시 남동구 간석동 939-1 간석래미안자이아파트 상가1동 108호인천광역시 남동구 석산로 156, 간석래미안자이아파트 상가1동 108호 (간석동)032-469-02812023-09-07