Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
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 휴게음식점(자치단체 업종,업태,업소명,소재지 등)의 항목에 대한 현황 자료로 구성된 데이터 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15048905/fileData.do

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 started2023-12-16 15:27:09.038378
Analysis finished2023-12-16 15:27:16.995733
Duration7.96 seconds
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%
Mean5078.7504
Minimum1
Maximum10156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-16T15:27:17.285105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile509.95
Q12532.75
median5079.5
Q37622.25
95-th percentile9653.05
Maximum10156
Range10155
Interquartile range (IQR)5089.5

Descriptive statistics

Standard deviation2934.34
Coefficient of variation (CV)0.57776811
Kurtosis-1.2024678
Mean5078.7504
Median Absolute Deviation (MAD)2545
Skewness0.0010042698
Sum50787504
Variance8610351.2
MonotonicityNot monotonic
2023-12-16T15:27:18.101343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
840 1
 
< 0.1%
9177 1
 
< 0.1%
4778 1
 
< 0.1%
9841 1
 
< 0.1%
1116 1
 
< 0.1%
2518 1
 
< 0.1%
1634 1
 
< 0.1%
6108 1
 
< 0.1%
3337 1
 
< 0.1%
4215 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 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%
11 1
< 0.1%
ValueCountFrequency (%)
10156 1
< 0.1%
10155 1
< 0.1%
10154 1
< 0.1%
10153 1
< 0.1%
10152 1
< 0.1%
10151 1
< 0.1%
10150 1
< 0.1%
10149 1
< 0.1%
10148 1
< 0.1%
10147 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시 서구
1890 
인천광역시 남동구
1695 
인천광역시 부평구
1408 
인천광역시 미추홀구
1377 
인천광역시 연수구
1287 
Other values (5)
2343 

Length

Max length10
Median length9
Mean length8.8432
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 서구
2nd row인천광역시 계양구
3rd row인천광역시 부평구
4th row인천광역시 미추홀구
5th row인천광역시 남동구

Common Values

ValueCountFrequency (%)
인천광역시 서구 1890
18.9%
인천광역시 남동구 1695
17.0%
인천광역시 부평구 1408
14.1%
인천광역시 미추홀구 1377
13.8%
인천광역시 연수구 1287
12.9%
인천광역시 중구 898
9.0%
인천광역시 계양구 817
8.2%
인천광역시 강화군 378
 
3.8%
인천광역시 동구 157
 
1.6%
인천광역시 옹진군 93
 
0.9%

Length

2023-12-16T15:27:19.255353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:20.169569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 10000
50.0%
서구 1890
 
9.4%
남동구 1695
 
8.5%
부평구 1408
 
7.0%
미추홀구 1377
 
6.9%
연수구 1287
 
6.4%
중구 898
 
4.5%
계양구 817
 
4.1%
강화군 378
 
1.9%
동구 157
 
0.8%

업소명
Text

Distinct9487
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-16T15:27:21.396950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length8.9931
Min length1

Characters and Unicode

Total characters89931
Distinct characters1013
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9204 ?
Unique (%)92.0%

Sample

1st row카페드림
2nd row테라커피(TERA COFFEE)
3rd row코레일유통(주)카페붐벅
4th row세븐일레븐 인천도화중앙점
5th row메가커피구월로데오점
ValueCountFrequency (%)
세븐일레븐 380
 
2.5%
씨유 352
 
2.3%
지에스25 161
 
1.1%
카페 149
 
1.0%
메가엠지씨커피 137
 
0.9%
이마트24 134
 
0.9%
컴포즈커피 123
 
0.8%
gs25 95
 
0.6%
빽다방 78
 
0.5%
더벤티 74
 
0.5%
Other values (9557) 13297
88.8%
2023-12-16T15:27:24.387451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 4984
 
5.5%
4982
 
5.5%
스 2355
 
2.6%
이 1747
 
1.9%
피 1689
 
1.9%
인 1619
 
1.8%
천 1447
 
1.6%
커 1428
 
1.6%
) 1234
 
1.4%
( 1232
 
1.4%
Other values (1003) 67214
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72165
80.2%
Space Separator 4982
 
5.5%
Uppercase Letter 4445
 
4.9%
Lowercase Letter 3063
 
3.4%
Decimal Number 2507
 
2.8%
Close Punctuation 1236
 
1.4%
Open Punctuation 1234
 
1.4%
Other Punctuation 257
 
0.3%
Dash Punctuation 28
 
< 0.1%
Connector Punctuation 7
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 4984
 
6.9%
스 2355
 
3.3%
이 1747
 
2.4%
피 1689
 
2.3%
인 1619
 
2.2%
천 1447
 
2.0%
커 1428
 
2.0%
븐 1085
 
1.5%
카 1068
 
1.5%
페 1040
 
1.4%
Other values (917) 53703
74.4%
Lowercase Letter
ValueCountFrequency (%)
e 555
18.1%
a 329
10.7%
o 260
 
8.5%
f 259
 
8.5%
c 222
 
7.2%
n 149
 
4.9%
r 146
 
4.8%
i 143
 
4.7%
s 136
 
4.4%
t 120
 
3.9%
Other values (17) 744
24.3%
Uppercase Letter
ValueCountFrequency (%)
C 575
12.9%
S 520
11.7%
G 430
 
9.7%
E 336
 
7.6%
P 281
 
6.3%
A 259
 
5.8%
O 254
 
5.7%
F 207
 
4.7%
T 204
 
4.6%
U 175
 
3.9%
Other values (16) 1204
27.1%
Other Punctuation
ValueCountFrequency (%)
& 93
36.2%
, 67
26.1%
. 33
 
12.8%
' 27
 
10.5%
/ 10
 
3.9%
: 8
 
3.1%
＆ 4
 
1.6%
# 4
 
1.6%
？ 4
 
1.6%
! 4
 
1.6%
Other values (2) 3
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 994
39.6%
5 663
26.4%
4 276
 
11.0%
1 163
 
6.5%
3 141
 
5.6%
9 106
 
4.2%
0 66
 
2.6%
8 39
 
1.6%
7 33
 
1.3%
6 26
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 1234
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1232
99.8%
[ 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
＋ 1
33.3%
Space Separator
ValueCountFrequency (%)
4982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72150
80.2%
Common 10256
 
11.4%
Latin 7509
 
8.3%
Han 12
 
< 0.1%
Hiragana 3
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 4984
 
6.9%
스 2355
 
3.3%
이 1747
 
2.4%
피 1689
 
2.3%
인 1619
 
2.2%
천 1447
 
2.0%
커 1428
 
2.0%
븐 1085
 
1.5%
카 1068
 
1.5%
페 1040
 
1.4%
Other values (904) 53688
74.4%
Latin
ValueCountFrequency (%)
C 575
 
7.7%
e 555
 
7.4%
S 520
 
6.9%
G 430
 
5.7%
E 336
 
4.5%
a 329
 
4.4%
P 281
 
3.7%
o 260
 
3.5%
A 259
 
3.4%
f 259
 
3.4%
Other values (43) 3705
49.3%
Common
ValueCountFrequency (%)
4982
48.6%
) 1234
 
12.0%
( 1232
 
12.0%
2 994
 
9.7%
5 663
 
6.5%
4 276
 
2.7%
1 163
 
1.6%
3 141
 
1.4%
9 106
 
1.0%
& 93
 
0.9%
Other values (22) 372
 
3.6%
Han
ValueCountFrequency (%)
美 2
16.7%
米 2
16.7%
善 1
8.3%
堂 1
8.3%
名 1
8.3%
家 1
8.3%
王 1
8.3%
國 1
8.3%
貞 1
8.3%
愛 1
8.3%
Hiragana
ValueCountFrequency (%)
す 1
33.3%
ぃ 1
33.3%
と 1
33.3%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72150
80.2%
ASCII 17750
 
19.7%
None 12
 
< 0.1%
CJK 12
 
< 0.1%
Hiragana 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 4984
 
6.9%
스 2355
 
3.3%
이 1747
 
2.4%
피 1689
 
2.3%
인 1619
 
2.2%
천 1447
 
2.0%
커 1428
 
2.0%
븐 1085
 
1.5%
카 1068
 
1.5%
페 1040
 
1.4%
Other values (904) 53688
74.4%
ASCII
ValueCountFrequency (%)
4982
28.1%
) 1234
 
7.0%
( 1232
 
6.9%
2 994
 
5.6%
5 663
 
3.7%
C 575
 
3.2%
e 555
 
3.1%
S 520
 
2.9%
G 430
 
2.4%
E 336
 
1.9%
Other values (69) 6229
35.1%
None
ValueCountFrequency (%)
＆ 4
33.3%
？ 4
33.3%
· 2
16.7%
α 1
 
8.3%
＋ 1
 
8.3%
CJK
ValueCountFrequency (%)
美 2
16.7%
米 2
16.7%
善 1
8.3%
堂 1
8.3%
名 1
8.3%
家 1
8.3%
王 1
8.3%
國 1
8.3%
貞 1
8.3%
愛 1
8.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Hiragana
ValueCountFrequency (%)
す 1
33.3%
ぃ 1
33.3%
と 1
33.3%

업종
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 10000
100.0%

Length

2023-12-16T15:27:25.504226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:26.287444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 10000
100.0%

업태
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
4172 
편의점
1913 
기타 휴게음식점
1564 
일반조리판매
1100 
다방
529 
Other values (13)
722 

Length

Max length8
Median length3
Mean length4.1738
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row커피숍
2nd row기타 휴게음식점
3rd row철도역구내
4th row편의점
5th row커피숍

Common Values

ValueCountFrequency (%)
커피숍 4172
41.7%
편의점 1913
19.1%
기타 휴게음식점 1564
 
15.6%
일반조리판매 1100
 
11.0%
다방 529
 
5.3%
패스트푸드 372
 
3.7%
아이스크림 113
 
1.1%
푸드트럭 67
 
0.7%
키즈카페 50
 
0.5%
백화점 27
 
0.3%
Other values (8) 93
 
0.9%

Length

2023-12-16T15:27:27.518283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 4172
36.1%
편의점 1913
16.5%
기타 1564
 
13.5%
휴게음식점 1564
 
13.5%
일반조리판매 1100
 
9.5%
다방 529
 
4.6%
패스트푸드 372
 
3.2%
아이스크림 113
 
1.0%
푸드트럭 67
 
0.6%
키즈카페 50
 
0.4%
Other values (9) 120
 
1.0%

업소주소
Text

Distinct9750
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-16T15:27:30.092674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length62
Mean length35.0914
Min length14

Characters and Unicode

Total characters350914
Distinct characters648
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9594 ?
Unique (%)95.9%

Sample

1st row인천광역시 서구 원당대로819번길 39(드림힐 B04호 원당동)
2nd row인천광역시 계양구 오조산로 91(1층 용종동, 새롬프라자 105호)
3rd row인천광역시 부평구 십정동 539 외 15필지 백운역사 (2층)
4th row인천광역시 미추홀구 경인로 164-1(도화동)
5th row인천광역시 남동구 예술로 126(1층 105호 구월동, 링크126)
ValueCountFrequency (%)
인천광역시 10001
 
15.9%
일부호 1899
 
3.0%
서구 1890
 
3.0%
1층 1803
 
2.9%
남동구 1695
 
2.7%
부평구 1408
 
2.2%
미추홀구 1377
 
2.2%
연수구 1287
 
2.0%
중구 898
 
1.4%
계양구 817
 
1.3%
Other values (11359) 39710
63.2%
2023-12-16T15:27:33.081827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52826
 
15.1%
1 19964
 
5.7%
동 13690
 
3.9%
인 11266
 
3.2%
천 10753
 
3.1%
시 10717
 
3.1%
구 10524
 
3.0%
역 10209
 
2.9%
광 10137
 
2.9%
로 10002
 
2.9%
Other values (638) 190826
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211238
60.2%
Decimal Number 59462
 
16.9%
Space Separator 52826
 
15.1%
Open Punctuation 9791
 
2.8%
Close Punctuation 9791
 
2.8%
Other Punctuation 3771
 
1.1%
Uppercase Letter 2045
 
0.6%
Dash Punctuation 1526
 
0.4%
Lowercase Letter 330
 
0.1%
Math Symbol 119
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13690
 
6.5%
인 11266
 
5.3%
천 10753
 
5.1%
시 10717
 
5.1%
구 10524
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10002
 
4.7%
층 7236
 
3.4%
호 7047
 
3.3%
Other values (560) 109657
51.9%
Uppercase Letter
ValueCountFrequency (%)
B 384
18.8%
A 256
12.5%
E 163
 
8.0%
C 150
 
7.3%
S 133
 
6.5%
D 99
 
4.8%
T 83
 
4.1%
I 80
 
3.9%
R 73
 
3.6%
K 70
 
3.4%
Other values (16) 554
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 98
29.7%
s 47
14.2%
a 41
12.4%
r 30
 
9.1%
d 24
 
7.3%
t 23
 
7.0%
y 11
 
3.3%
o 9
 
2.7%
k 9
 
2.7%
c 7
 
2.1%
Other values (11) 31
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 19964
33.6%
2 7612
 
12.8%
0 6572
 
11.1%
3 5256
 
8.8%
4 4201
 
7.1%
5 3731
 
6.3%
6 3461
 
5.8%
7 3135
 
5.3%
8 2937
 
4.9%
9 2593
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 3699
98.1%
. 31
 
0.8%
' 22
 
0.6%
& 7
 
0.2%
/ 5
 
0.1%
@ 4
 
0.1%
＆ 1
 
< 0.1%
· 1
 
< 0.1%
# 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
④ 1
25.0%
② 1
25.0%
③ 1
25.0%
① 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
45.5%
Ⅰ 3
27.3%
Ⅲ 3
27.3%
Space Separator
ValueCountFrequency (%)
52826
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9791
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1526
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211238
60.2%
Common 137290
39.1%
Latin 2386
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13690
 
6.5%
인 11266
 
5.3%
천 10753
 
5.1%
시 10717
 
5.1%
구 10524
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10002
 
4.7%
층 7236
 
3.4%
호 7047
 
3.3%
Other values (560) 109657
51.9%
Latin
ValueCountFrequency (%)
B 384
16.1%
A 256
 
10.7%
E 163
 
6.8%
C 150
 
6.3%
S 133
 
5.6%
D 99
 
4.1%
e 98
 
4.1%
T 83
 
3.5%
I 80
 
3.4%
R 73
 
3.1%
Other values (40) 867
36.3%
Common
ValueCountFrequency (%)
52826
38.5%
1 19964
 
14.5%
( 9791
 
7.1%
) 9791
 
7.1%
2 7612
 
5.5%
0 6572
 
4.8%
3 5256
 
3.8%
4 4201
 
3.1%
5 3731
 
2.7%
, 3699
 
2.7%
Other values (18) 13847
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211215
60.2%
ASCII 139659
39.8%
Compat Jamo 23
 
< 0.1%
Number Forms 11
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52826
37.8%
1 19964
 
14.3%
( 9791
 
7.0%
) 9791
 
7.0%
2 7612
 
5.5%
0 6572
 
4.7%
3 5256
 
3.8%
4 4201
 
3.0%
5 3731
 
2.7%
, 3699
 
2.6%
Other values (59) 16216
 
11.6%
Hangul
ValueCountFrequency (%)
동 13690
 
6.5%
인 11266
 
5.3%
천 10753
 
5.1%
시 10717
 
5.1%
구 10524
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10002
 
4.7%
층 7236
 
3.4%
호 7047
 
3.3%
Other values (559) 109634
51.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 23
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
45.5%
Ⅰ 3
27.3%
Ⅲ 3
27.3%
Enclosed Alphanum
ValueCountFrequency (%)
④ 1
25.0%
② 1
25.0%
③ 1
25.0%
① 1
25.0%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%

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

2023-12-16T15:27:33.784861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:27:34.335019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2023-12-16T15:27:15.254848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:27:34.611733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9740.235
인허가관할기관0.9741.0000.233
업태0.2350.2331.000
2023-12-16T15:27:35.154561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태인허가관할기관
업태1.0000.093
인허가관할기관0.0931.000
2023-12-16T15:27:35.842633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.7180.093
인허가관할기관0.7181.0000.093
업태0.0930.0931.000

Missing values

2023-12-16T15:27:16.020483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:27:16.836518image/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
839840인천광역시 서구카페드림휴게음식점커피숍인천광역시 서구 원당대로819번길 39(드림힐 B04호 원당동)정상
24702471인천광역시 계양구테라커피(TERA COFFEE)휴게음식점기타 휴게음식점인천광역시 계양구 오조산로 91(1층 용종동, 새롬프라자 105호)정상
33933394인천광역시 부평구코레일유통(주)카페붐벅휴게음식점철도역구내인천광역시 부평구 십정동 539 외 15필지 백운역사 (2층)정상
85488549인천광역시 미추홀구세븐일레븐 인천도화중앙점휴게음식점편의점인천광역시 미추홀구 경인로 164-1(도화동)정상
59415942인천광역시 남동구메가커피구월로데오점휴게음식점커피숍인천광역시 남동구 예술로 126(1층 105호 구월동, 링크126)정상
42374238인천광역시 부평구베스킨라빈스부개점휴게음식점아이스크림인천광역시 부평구 길주남로 175(부개동,신명보람아파트 상가동 1층104호)정상
26012602인천광역시 계양구인천계양지역자활센터뜰엔담휴게음식점커피숍인천광역시 계양구 계수로 27(1층 계산동)정상
73007301인천광역시 연수구메가커피 인천동춘점휴게음식점기타 휴게음식점인천광역시 연수구 앵고개로264번길 41(상가B동 지상1층 109호 동춘동, 한양아파트)정상
48154816인천광역시 남동구투썸플레이스인천CGV휴게음식점일반조리판매인천광역시 남동구 예술로 198(4층 구월동)정상
72157216인천광역시 연수구복호두 연수동춘점휴게음식점일반조리판매인천광역시 연수구 앵고개로 260(맘모스빌딩 지상1층 110호 동춘동)정상
연번인허가관할기관업소명업종업태업소주소영업상태
86568657인천광역시 미추홀구보석다방휴게음식점다방인천광역시 미추홀구 경원대로 848(주안동,,13,14)정상
28632864인천광역시 계양구세븐일레븐 계양은영점휴게음식점편의점인천광역시 계양구 도두리로6번길 15(1층 102호 작전동)정상
21572158인천광역시 서구꿀스커피가좌홈흘러스점휴게음식점커피숍인천광역시 서구 가정로151번길 11(홈플러스 가좌점 3층일부 가좌동)정상
70087009인천광역시 연수구씨유 송도랜드마크시티2호점휴게음식점편의점인천광역시 연수구 랜드마크로 68(랜드마크시티센트럴더샵 401동 110일부호 송도동, 랜드마크시티센트럴더샵)정상
26612662인천광역시 계양구용용탕후루 인천계산택지점휴게음식점일반조리판매인천광역시 계양구 계양문화로 44(라이즈빌 1층 101호의 일부호 계산동)정상
93779378인천광역시 중구카페플러스마트휴게음식점커피숍인천광역시 중구 자유무역로 299(제이셋스태츠칩팩코리아 1층 운서동)정상
591592인천광역시 서구팔공티청라3단지점휴게음식점커피숍인천광역시 서구 청라커낼로 323(1층 일부 청라동)정상
935936인천광역시 서구지에스25검암역2호점휴게음식점편의점인천광역시 서구 검바위로 26(검암역공항철도 환승통로 상가9호 일부 검암동)정상
70057006인천광역시 연수구씨유 송도센쓰리점휴게음식점편의점인천광역시 연수구 인천타워대로180번길 11(A동 109일부호 송도동, 더샵송도센트럴파크Ⅲ)정상
41214122인천광역시 부평구세븐일레븐 부평보영점휴게음식점편의점인천광역시 부평구 경원대로1367번길 18-3(부평동, 1층 일부)정상