Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical4
Text2

Dataset

Description인천광역시 일반음식점의 업종,업태,업소명,소재지, 영업상태 등에 관한 항목 데이터 정보를 제공 하고 있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15048906&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
영업상태 has constant value ""Constant
연번 is highly overall correlated with 인허가관할기관High correlation
인허가관할기관 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:16:24.455143
Analysis finished2024-03-18 02:16:26.315158
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16424.744
Minimum1
Maximum32664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T11:16:26.381859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1643.7
Q18223.25
median16401.5
Q324775.25
95-th percentile31182.2
Maximum32664
Range32663
Interquartile range (IQR)16552

Descriptive statistics

Standard deviation9506.9991
Coefficient of variation (CV)0.57882177
Kurtosis-1.2193384
Mean16424.744
Median Absolute Deviation (MAD)8281.5
Skewness0.003161534
Sum1.6424744 × 108
Variance90383033
MonotonicityNot monotonic
2024-03-18T11:16:26.501692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9883 1
 
< 0.1%
30942 1
 
< 0.1%
31895 1
 
< 0.1%
4944 1
 
< 0.1%
28670 1
 
< 0.1%
7097 1
 
< 0.1%
6823 1
 
< 0.1%
8837 1
 
< 0.1%
15205 1
 
< 0.1%
26516 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
22 1
< 0.1%
32 1
< 0.1%
33 1
< 0.1%
38 1
< 0.1%
39 1
< 0.1%
ValueCountFrequency (%)
32664 1
< 0.1%
32661 1
< 0.1%
32652 1
< 0.1%
32647 1
< 0.1%
32646 1
< 0.1%
32645 1
< 0.1%
32644 1
< 0.1%
32643 1
< 0.1%
32642 1
< 0.1%
32639 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시 서구
1806 
인천광역시 남동구
1665 
인천광역시 미추홀구
1461 
인천광역시 부평구
1342 
인천광역시 연수구
1145 
Other values (5)
2581 

Length

Max length10
Median length9
Mean length8.8538
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 미추홀구
2nd row인천광역시 남동구
3rd row인천광역시 중구
4th row인천광역시 연수구
5th row인천광역시 남동구

Common Values

ValueCountFrequency (%)
인천광역시 서구 1806
18.1%
인천광역시 남동구 1665
16.7%
인천광역시 미추홀구 1461
14.6%
인천광역시 부평구 1342
13.4%
인천광역시 연수구 1145
11.5%
인천광역시 중구 930
9.3%
인천광역시 계양구 818
8.2%
인천광역시 강화군 453
 
4.5%
인천광역시 옹진군 193
 
1.9%
인천광역시 동구 187
 
1.9%

Length

2024-03-18T11:16:26.627503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:26.742063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 10000
50.0%
서구 1806
 
9.0%
남동구 1665
 
8.3%
미추홀구 1461
 
7.3%
부평구 1342
 
6.7%
연수구 1145
 
5.7%
중구 930
 
4.7%
계양구 818
 
4.1%
강화군 453
 
2.3%
옹진군 193
 
1.0%

업소명
Text

Distinct9318
Distinct (%)93.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T11:16:26.982826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length6.6115612
Min length1

Characters and Unicode

Total characters66109
Distinct characters1107
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8901 ?
Unique (%)89.0%

Sample

1st row통나무집
2nd row어쩌다김밥
3rd row유령치즈조개&활어회 무한리필 더벤티
4th row청학
5th row주안상
ValueCountFrequency (%)
송도점 69
 
0.5%
부평점 47
 
0.4%
청라점 40
 
0.3%
김밥천국 37
 
0.3%
카페 31
 
0.2%
영종하늘도시점 27
 
0.2%
주안점 26
 
0.2%
인하대점 23
 
0.2%
연수점 23
 
0.2%
용현점 20
 
0.2%
Other values (9914) 12407
97.3%
2024-03-18T11:16:27.359572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2751
 
4.2%
점 2050
 
3.1%
이 1277
 
1.9%
식 865
 
1.3%
리 812
 
1.2%
스 802
 
1.2%
( 777
 
1.2%
) 777
 
1.2%
당 682
 
1.0%
치 678
 
1.0%
Other values (1097) 54638
82.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57807
87.4%
Space Separator 2751
 
4.2%
Uppercase Letter 1573
 
2.4%
Lowercase Letter 1268
 
1.9%
Decimal Number 869
 
1.3%
Open Punctuation 779
 
1.2%
Close Punctuation 779
 
1.2%
Other Punctuation 263
 
0.4%
Dash Punctuation 9
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2050
 
3.5%
이 1277
 
2.2%
식 865
 
1.5%
리 812
 
1.4%
스 802
 
1.4%
당 682
 
1.2%
치 678
 
1.2%
마 671
 
1.2%
인 664
 
1.1%
천 657
 
1.1%
Other values (1010) 48649
84.2%
Uppercase Letter
ValueCountFrequency (%)
A 131
 
8.3%
B 128
 
8.1%
O 126
 
8.0%
C 115
 
7.3%
E 109
 
6.9%
S 80
 
5.1%
H 77
 
4.9%
N 76
 
4.8%
R 71
 
4.5%
I 70
 
4.5%
Other values (16) 590
37.5%
Lowercase Letter
ValueCountFrequency (%)
e 183
14.4%
a 138
 
10.9%
o 112
 
8.8%
r 88
 
6.9%
n 84
 
6.6%
i 77
 
6.1%
s 65
 
5.1%
t 63
 
5.0%
c 53
 
4.2%
l 50
 
3.9%
Other values (15) 355
28.0%
Other Punctuation
ValueCountFrequency (%)
& 127
48.3%
. 43
 
16.3%
, 41
 
15.6%
' 15
 
5.7%
! 10
 
3.8%
· 8
 
3.0%
: 5
 
1.9%
# 5
 
1.9%
＆ 4
 
1.5%
@ 2
 
0.8%
Other values (3) 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 170
19.6%
2 133
15.3%
0 113
13.0%
3 96
11.0%
9 95
10.9%
8 72
8.3%
4 55
 
6.3%
7 48
 
5.5%
6 44
 
5.1%
5 43
 
4.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 777
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 777
99.7%
] 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 4
80.0%
~ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57761
87.4%
Common 5457
 
8.3%
Latin 2845
 
4.3%
Han 46
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2050
 
3.5%
이 1277
 
2.2%
식 865
 
1.5%
리 812
 
1.4%
스 802
 
1.4%
당 682
 
1.2%
치 678
 
1.2%
마 671
 
1.2%
인 664
 
1.1%
천 657
 
1.1%
Other values (978) 48603
84.1%
Latin
ValueCountFrequency (%)
e 183
 
6.4%
a 138
 
4.9%
A 131
 
4.6%
B 128
 
4.5%
O 126
 
4.4%
C 115
 
4.0%
o 112
 
3.9%
E 109
 
3.8%
r 88
 
3.1%
n 84
 
3.0%
Other values (44) 1631
57.3%
Common
ValueCountFrequency (%)
2751
50.4%
( 777
 
14.2%
) 777
 
14.2%
1 170
 
3.1%
2 133
 
2.4%
& 127
 
2.3%
0 113
 
2.1%
3 96
 
1.8%
9 95
 
1.7%
8 72
 
1.3%
Other values (23) 346
 
6.3%
Han
ValueCountFrequency (%)
家 6
 
13.0%
愛 4
 
8.7%
辛 3
 
6.5%
肉 3
 
6.5%
心 2
 
4.3%
牛 2
 
4.3%
永 1
 
2.2%
安 1
 
2.2%
好 1
 
2.2%
大 1
 
2.2%
Other values (22) 22
47.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57756
87.4%
ASCII 8285
 
12.5%
CJK 44
 
0.1%
None 12
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Number Forms 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2751
33.2%
( 777
 
9.4%
) 777
 
9.4%
e 183
 
2.2%
1 170
 
2.1%
a 138
 
1.7%
2 133
 
1.6%
A 131
 
1.6%
B 128
 
1.5%
& 127
 
1.5%
Other values (71) 2970
35.8%
Hangul
ValueCountFrequency (%)
점 2050
 
3.5%
이 1277
 
2.2%
식 865
 
1.5%
리 812
 
1.4%
스 802
 
1.4%
당 682
 
1.2%
치 678
 
1.2%
마 671
 
1.2%
인 664
 
1.1%
천 657
 
1.1%
Other values (975) 48598
84.1%
None
ValueCountFrequency (%)
· 8
66.7%
＆ 4
33.3%
CJK
ValueCountFrequency (%)
家 6
 
13.6%
愛 4
 
9.1%
辛 3
 
6.8%
肉 3
 
6.8%
心 2
 
4.5%
牛 2
 
4.5%
永 1
 
2.3%
安 1
 
2.3%
好 1
 
2.3%
大 1
 
2.3%
Other values (20) 20
45.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
40.0%
ㅂ 2
40.0%
ㆍ 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
串 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-03-18T11:16:27.469338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:27.544992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

업태
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3850 
기타
1500 
호프/통닭
1346 
분식
648 
식육(숯불구이)
558 
Other values (17)
2098 

Length

Max length15
Median length2
Mean length3.3449
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row분식
3rd row한식
4th row기타
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 3850
38.5%
기타 1500
 
15.0%
호프/통닭 1346
 
13.5%
분식 648
 
6.5%
식육(숯불구이) 558
 
5.6%
정종/대포집/소주방 427
 
4.3%
중국식 414
 
4.1%
경양식 313
 
3.1%
일식 307
 
3.1%
회집 214
 
2.1%
Other values (12) 423
 
4.2%

Length

2024-03-18T11:16:27.631974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3850
38.5%
기타 1500
 
15.0%
호프/통닭 1346
 
13.5%
분식 648
 
6.5%
식육(숯불구이 558
 
5.6%
정종/대포집/소주방 427
 
4.3%
중국식 414
 
4.1%
경양식 313
 
3.1%
일식 307
 
3.1%
회집 214
 
2.1%
Other values (12) 423
 
4.2%

업소주소
Text

Distinct9818
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T11:16:27.939514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length64
Mean length32.544
Min length8

Characters and Unicode

Total characters325440
Distinct characters613
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9657 ?
Unique (%)96.6%

Sample

1st row인천광역시 미추홀구 인하로 170-3(용현동)
2nd row인천광역시 남동구 만수로75번길 30(1층 만수동)
3rd row인천광역시 중구 월미문화로 53(2~옥상층 북성동1가)
4th row인천광역시 연수구 청학로 5(청학동, 지상1층일부)
5th row인천광역시 남동구 경인로524번길 31(간석동,경인로524번길 31 1층일부)
ValueCountFrequency (%)
인천광역시 9998
 
17.8%
서구 1805
 
3.2%
남동구 1665
 
3.0%
미추홀구 1460
 
2.6%
부평구 1342
 
2.4%
연수구 1145
 
2.0%
1층 1144
 
2.0%
중구 930
 
1.7%
일부호 901
 
1.6%
계양구 818
 
1.5%
Other values (11229) 35061
62.3%
2024-03-18T11:16:28.621319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46293
 
14.2%
1 18346
 
5.6%
동 12909
 
4.0%
인 10906
 
3.4%
시 10521
 
3.2%
천 10518
 
3.2%
구 10255
 
3.2%
역 10100
 
3.1%
광 10096
 
3.1%
로 9976
 
3.1%
Other values (603) 175520
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193814
59.6%
Decimal Number 58402
 
17.9%
Space Separator 46293
 
14.2%
Open Punctuation 9612
 
3.0%
Close Punctuation 9612
 
3.0%
Other Punctuation 4047
 
1.2%
Dash Punctuation 2066
 
0.6%
Uppercase Letter 1354
 
0.4%
Lowercase Letter 135
 
< 0.1%
Math Symbol 94
 
< 0.1%
Other values (2) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12909
 
6.7%
인 10906
 
5.6%
시 10521
 
5.4%
천 10518
 
5.4%
구 10255
 
5.3%
역 10100
 
5.2%
광 10096
 
5.2%
로 9976
 
5.1%
층 6062
 
3.1%
길 5161
 
2.7%
Other values (530) 97310
50.2%
Uppercase Letter
ValueCountFrequency (%)
B 269
19.9%
A 196
14.5%
C 116
 
8.6%
E 96
 
7.1%
D 84
 
6.2%
S 62
 
4.6%
I 59
 
4.4%
T 58
 
4.3%
M 56
 
4.1%
U 49
 
3.6%
Other values (16) 309
22.8%
Lowercase Letter
ValueCountFrequency (%)
a 28
20.7%
e 25
18.5%
s 24
17.8%
t 12
8.9%
b 7
 
5.2%
d 7
 
5.2%
r 7
 
5.2%
c 6
 
4.4%
y 5
 
3.7%
k 5
 
3.7%
Other values (7) 9
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 18346
31.4%
2 8205
14.0%
0 5991
 
10.3%
3 5328
 
9.1%
4 4297
 
7.4%
5 3728
 
6.4%
6 3531
 
6.0%
7 3171
 
5.4%
8 3131
 
5.4%
9 2674
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 3998
98.8%
. 19
 
0.5%
& 8
 
0.2%
' 7
 
0.2%
@ 6
 
0.1%
/ 4
 
0.1%
＆ 2
 
< 0.1%
* 1
 
< 0.1%
· 1
 
< 0.1%
: 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9611
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9611
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%
Space Separator
ValueCountFrequency (%)
46293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2066
100.0%
Math Symbol
ValueCountFrequency (%)
~ 94
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193812
59.6%
Common 130127
40.0%
Latin 1499
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12909
 
6.7%
인 10906
 
5.6%
시 10521
 
5.4%
천 10518
 
5.4%
구 10255
 
5.3%
역 10100
 
5.2%
광 10096
 
5.2%
로 9976
 
5.1%
층 6062
 
3.1%
길 5161
 
2.7%
Other values (528) 97308
50.2%
Latin
ValueCountFrequency (%)
B 269
17.9%
A 196
13.1%
C 116
 
7.7%
E 96
 
6.4%
D 84
 
5.6%
S 62
 
4.1%
I 59
 
3.9%
T 58
 
3.9%
M 56
 
3.7%
U 49
 
3.3%
Other values (35) 454
30.3%
Common
ValueCountFrequency (%)
46293
35.6%
1 18346
 
14.1%
( 9611
 
7.4%
) 9611
 
7.4%
2 8205
 
6.3%
0 5991
 
4.6%
3 5328
 
4.1%
4 4297
 
3.3%
, 3998
 
3.1%
5 3728
 
2.9%
Other values (18) 14719
 
11.3%
Han
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193793
59.5%
ASCII 131612
40.4%
Compat Jamo 19
 
< 0.1%
Number Forms 10
 
< 0.1%
None 3
 
< 0.1%
CJK 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46293
35.2%
1 18346
 
13.9%
( 9611
 
7.3%
) 9611
 
7.3%
2 8205
 
6.2%
0 5991
 
4.6%
3 5328
 
4.0%
4 4297
 
3.3%
, 3998
 
3.0%
5 3728
 
2.8%
Other values (58) 16204
 
12.3%
Hangul
ValueCountFrequency (%)
동 12909
 
6.7%
인 10906
 
5.6%
시 10521
 
5.4%
천 10518
 
5.4%
구 10255
 
5.3%
역 10100
 
5.2%
광 10096
 
5.2%
로 9976
 
5.1%
층 6062
 
3.1%
길 5161
 
2.7%
Other values (525) 97289
50.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
89.5%
ㅁ 1
 
5.3%
ㅂ 1
 
5.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%
None
ValueCountFrequency (%)
＆ 2
66.7%
· 1
33.3%
CJK
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 10000
100.0%

Length

2024-03-18T11:16:28.728205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:28.800545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2024-03-18T11:16:26.006124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:16:28.842835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9740.197
인허가관할기관0.9741.0000.241
업태0.1970.2411.000
2024-03-18T11:16:28.923287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업태
인허가관할기관1.0000.091
업태0.0911.000
2024-03-18T11:16:28.990604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.7210.074
인허가관할기관0.7211.0000.091
업태0.0740.0911.000

Missing values

2024-03-18T11:16:26.150929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:16:26.260957image/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

연번인허가관할기관업소명업종업태업소주소영업상태
98829883인천광역시 미추홀구통나무집일반음식점한식인천광역시 미추홀구 인하로 170-3(용현동)정상
1734617347인천광역시 남동구어쩌다김밥일반음식점분식인천광역시 남동구 만수로75번길 30(1층 만수동)정상
41524153인천광역시 중구유령치즈조개&활어회 무한리필 더벤티일반음식점한식인천광역시 중구 월미문화로 53(2~옥상층 북성동1가)정상
1353013531인천광역시 연수구청학일반음식점기타인천광역시 연수구 청학로 5(청학동, 지상1층일부)정상
1845318454인천광역시 남동구주안상일반음식점식육(숯불구이)인천광역시 남동구 경인로524번길 31(간석동,경인로524번길 31 1층일부)정상
3046030461인천광역시 서구옥궁민물장어구이일반음식점기타인천광역시 서구 가정로 295(서해안순복음교회 석남동)정상
2221622217인천광역시 부평구써니네 고깃집일반음식점식육(숯불구이)인천광역시 부평구 원길로6번길 1(2층 청천동)정상
1777817779인천광역시 남동구우리해물탕일반음식점한식인천광역시 남동구 담방로48번길 3(만수동)정상
2749327494인천광역시 서구교촌치킨(마전,당하점)일반음식점호프/통닭인천광역시 서구 완정로 18(마전동, 한윤빌딩 102호)정상
1346413465인천광역시 연수구참피온 삼겹살일반음식점기타인천광역시 연수구 송도과학로27번길 55(301동 A214호 송도동, 롯데캐슬캠퍼스타운)정상
연번인허가관할기관업소명업종업태업소주소영업상태
3206632067인천광역시 서구팝업스토어일반음식점경양식인천광역시 서구 청라에메랄드로 134(연희동, 호반베르디움앤영무예다음상가 지하1층 104호 일부)정상
3181731818인천광역시 서구콩심 신현점일반음식점호프/통닭인천광역시 서구 신현로 44(신현동,1층)정상
81318132인천광역시 미추홀구스토리오브버디일반음식점경양식인천광역시 미추홀구 주안중로43번길 20(주안동)정상
92059206인천광역시 미추홀구제로칼로리일반음식점한식인천광역시 미추홀구 경인로418번길 9(1층 주안동)정상
1094110942인천광역시 연수구낭랑호프일반음식점호프/통닭인천광역시 연수구 용담로 44(청학동, 지상1층 일부)정상
2021720218인천광역시 부평구금수저사방소양샤브일반음식점중국식인천광역시 부평구 부평문화로 118(더 갤러리 1층 101호 부평동)정상
2665926660인천광역시 계양구텔레파시일반음식점기타인천광역시 계양구 계양산로 215(병방동)정상
1528615287인천광역시 남동구더그리드서창지구점일반음식점호프/통닭인천광역시 남동구 서창남순환로215번길 36(리치프라자 2층 205호 서창동)정상
96219622인천광역시 미추홀구최가네꼬마김밥일반음식점분식인천광역시 미추홀구 길파로20번길 3(주안동)정상
1281612817인천광역시 연수구오지버거 송도점일반음식점기타인천광역시 연수구 신송로 161(송도 하이츠 101,102호 송도동)정상