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://data.incheon.go.kr/findData/publicDataDetail?dataId=15048905&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 02:16:40.101732
Analysis finished2024-03-18 02:16:42.533626
Duration2.43 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%
Mean5078.7521
Minimum1
Maximum10156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T11:16:42.599335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile508.95
Q12542.75
median5078.5
Q37614.5
95-th percentile9649.05
Maximum10156
Range10155
Interquartile range (IQR)5071.75

Descriptive statistics

Standard deviation2929.9245
Coefficient of variation (CV)0.5768985
Kurtosis-1.1975536
Mean5078.7521
Median Absolute Deviation (MAD)2536
Skewness-5.8678151 × 10-5
Sum50787521
Variance8584457.5
MonotonicityNot monotonic
2024-03-18T11:16:42.720188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9945 1
 
< 0.1%
9672 1
 
< 0.1%
7740 1
 
< 0.1%
2454 1
 
< 0.1%
7622 1
 
< 0.1%
3668 1
 
< 0.1%
9258 1
 
< 0.1%
371 1
 
< 0.1%
9918 1
 
< 0.1%
575 1
 
< 0.1%
Other values (9990) 9990
99.9%
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 (%)
10156 1
< 0.1%
10155 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%
10146 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시 서구
1878 
인천광역시 남동구
1704 
인천광역시 부평구
1414 
인천광역시 미추홀구
1368 
인천광역시 연수구
1292 
Other values (5)
2344 

Length

Max length10
Median length9
Mean length8.8436
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 서구 1878
18.8%
인천광역시 남동구 1704
17.0%
인천광역시 부평구 1414
14.1%
인천광역시 미추홀구 1368
13.7%
인천광역시 연수구 1292
12.9%
인천광역시 중구 897
9.0%
인천광역시 계양구 818
8.2%
인천광역시 강화군 378
 
3.8%
인천광역시 동구 157
 
1.6%
인천광역시 옹진군 94
 
0.9%

Length

2024-03-18T11:16:42.844480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:42.955192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 10000
50.0%
서구 1878
 
9.4%
남동구 1704
 
8.5%
부평구 1414
 
7.1%
미추홀구 1368
 
6.8%
연수구 1292
 
6.5%
중구 897
 
4.5%
계양구 818
 
4.1%
강화군 378
 
1.9%
동구 157
 
0.8%

업소명
Text

Distinct9490
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T11:16:43.190743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length9.0017
Min length1

Characters and Unicode

Total characters90017
Distinct characters1011
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

Unique9211 ?
Unique (%)92.1%

Sample

1st row라커룸(본점)
2nd rowCU가정시티점
3rd row팔천순대(동암점)
4th row커피다연
5th row씨유청천그린점
ValueCountFrequency (%)
세븐일레븐 380
 
2.5%
씨유 353
 
2.4%
지에스25 161
 
1.1%
카페 149
 
1.0%
메가엠지씨커피 138
 
0.9%
이마트24 134
 
0.9%
컴포즈커피 124
 
0.8%
gs25 92
 
0.6%
빽다방 78
 
0.5%
coffee 73
 
0.5%
Other values (9564) 13299
88.8%
2024-03-18T11:16:43.657814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4982
 
5.5%
점 4981
 
5.5%
스 2363
 
2.6%
이 1750
 
1.9%
피 1690
 
1.9%
인 1610
 
1.8%
천 1441
 
1.6%
커 1430
 
1.6%
) 1246
 
1.4%
( 1244
 
1.4%
Other values (1001) 67280
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72155
80.2%
Space Separator 4982
 
5.5%
Uppercase Letter 4471
 
5.0%
Lowercase Letter 3107
 
3.5%
Decimal Number 2512
 
2.8%
Close Punctuation 1248
 
1.4%
Open Punctuation 1246
 
1.4%
Other Punctuation 256
 
0.3%
Dash Punctuation 27
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 4981
 
6.9%
스 2363
 
3.3%
이 1750
 
2.4%
피 1690
 
2.3%
인 1610
 
2.2%
천 1441
 
2.0%
커 1430
 
2.0%
븐 1088
 
1.5%
카 1067
 
1.5%
페 1040
 
1.4%
Other values (915) 53695
74.4%
Lowercase Letter
ValueCountFrequency (%)
e 561
18.1%
a 332
10.7%
f 264
 
8.5%
o 263
 
8.5%
c 221
 
7.1%
r 151
 
4.9%
n 150
 
4.8%
i 149
 
4.8%
s 142
 
4.6%
t 124
 
4.0%
Other values (17) 750
24.1%
Uppercase Letter
ValueCountFrequency (%)
C 580
13.0%
S 522
11.7%
G 428
 
9.6%
E 338
 
7.6%
P 282
 
6.3%
A 261
 
5.8%
O 254
 
5.7%
F 212
 
4.7%
T 204
 
4.6%
U 177
 
4.0%
Other values (16) 1213
27.1%
Other Punctuation
ValueCountFrequency (%)
& 93
36.3%
, 67
26.2%
. 33
 
12.9%
' 27
 
10.5%
/ 10
 
3.9%
: 7
 
2.7%
! 4
 
1.6%
？ 4
 
1.6%
＆ 4
 
1.6%
# 4
 
1.6%
Other values (2) 3
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 995
39.6%
5 663
26.4%
4 274
 
10.9%
1 163
 
6.5%
3 141
 
5.6%
9 110
 
4.4%
0 67
 
2.7%
8 39
 
1.6%
7 34
 
1.4%
6 26
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 1246
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1244
99.8%
[ 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
＋ 1
33.3%
Space Separator
ValueCountFrequency (%)
4982
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72140
80.1%
Common 10282
 
11.4%
Latin 7579
 
8.4%
Han 12
 
< 0.1%
Hiragana 3
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 4981
 
6.9%
스 2363
 
3.3%
이 1750
 
2.4%
피 1690
 
2.3%
인 1610
 
2.2%
천 1441
 
2.0%
커 1430
 
2.0%
븐 1088
 
1.5%
카 1067
 
1.5%
페 1040
 
1.4%
Other values (902) 53680
74.4%
Latin
ValueCountFrequency (%)
C 580
 
7.7%
e 561
 
7.4%
S 522
 
6.9%
G 428
 
5.6%
E 338
 
4.5%
a 332
 
4.4%
P 282
 
3.7%
f 264
 
3.5%
o 263
 
3.5%
A 261
 
3.4%
Other values (43) 3748
49.5%
Common
ValueCountFrequency (%)
4982
48.5%
) 1246
 
12.1%
( 1244
 
12.1%
2 995
 
9.7%
5 663
 
6.4%
4 274
 
2.7%
1 163
 
1.6%
3 141
 
1.4%
9 110
 
1.1%
& 93
 
0.9%
Other values (22) 371
 
3.6%
Han
ValueCountFrequency (%)
米 2
16.7%
美 2
16.7%
善 1
8.3%
堂 1
8.3%
愛 1
8.3%
名 1
8.3%
家 1
8.3%
王 1
8.3%
國 1
8.3%
貞 1
8.3%
Hiragana
ValueCountFrequency (%)
ぃ 1
33.3%
と 1
33.3%
す 1
33.3%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72140
80.1%
ASCII 17846
 
19.8%
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

ASCII
ValueCountFrequency (%)
4982
27.9%
) 1246
 
7.0%
( 1244
 
7.0%
2 995
 
5.6%
5 663
 
3.7%
C 580
 
3.3%
e 561
 
3.1%
S 522
 
2.9%
G 428
 
2.4%
E 338
 
1.9%
Other values (69) 6287
35.2%
Hangul
ValueCountFrequency (%)
점 4981
 
6.9%
스 2363
 
3.3%
이 1750
 
2.4%
피 1690
 
2.3%
인 1610
 
2.2%
천 1441
 
2.0%
커 1430
 
2.0%
븐 1088
 
1.5%
카 1067
 
1.5%
페 1040
 
1.4%
Other values (902) 53680
74.4%
None
ValueCountFrequency (%)
？ 4
33.3%
＆ 4
33.3%
· 2
16.7%
α 1
 
8.3%
＋ 1
 
8.3%
CJK
ValueCountFrequency (%)
米 2
16.7%
美 2
16.7%
善 1
8.3%
堂 1
8.3%
愛 1
8.3%
名 1
8.3%
家 1
8.3%
王 1
8.3%
國 1
8.3%
貞 1
8.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Hiragana
ValueCountFrequency (%)
ぃ 1
33.3%
と 1
33.3%
す 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

2024-03-18T11:16:43.771318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:43.857559image/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
4171 
편의점
1910 
기타 휴게음식점
1558 
일반조리판매
1112 
다방
526 
Other values (13)
723 

Length

Max length8
Median length3
Mean length4.1747
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 4171
41.7%
편의점 1910
19.1%
기타 휴게음식점 1558
 
15.6%
일반조리판매 1112
 
11.1%
다방 526
 
5.3%
패스트푸드 371
 
3.7%
아이스크림 114
 
1.1%
푸드트럭 67
 
0.7%
키즈카페 51
 
0.5%
백화점 27
 
0.3%
Other values (8) 93
 
0.9%

Length

2024-03-18T11:16:43.938365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 4171
36.1%
편의점 1910
16.5%
기타 1558
 
13.5%
휴게음식점 1558
 
13.5%
일반조리판매 1112
 
9.6%
다방 526
 
4.6%
패스트푸드 371
 
3.2%
아이스크림 114
 
1.0%
푸드트럭 67
 
0.6%
키즈카페 51
 
0.4%
Other values (9) 120
 
1.0%

업소주소
Text

Distinct9749
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T11:16:44.225439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length62
Mean length35.0977
Min length14

Characters and Unicode

Total characters350977
Distinct characters647
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 중구 서해대로 470(1층 신흥동2가)
2nd row인천광역시 서구 봉오재3로 66(상가3동 101호 가정동, 루원시티프라디움)
3rd row인천광역시 부평구 배곶로 26-1(1층 일부 십정동)
4th row인천광역시 미추홀구 인하로236번길 1(주안동)
5th row인천광역시 부평구 청농로 62(1층 청천동)
ValueCountFrequency (%)
인천광역시 10001
 
15.9%
일부호 1907
 
3.0%
서구 1878
 
3.0%
1층 1808
 
2.9%
남동구 1704
 
2.7%
부평구 1414
 
2.3%
미추홀구 1368
 
2.2%
연수구 1292
 
2.1%
중구 897
 
1.4%
계양구 818
 
1.3%
Other values (11349) 39725
63.2%
2024-03-18T11:16:44.679561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52852
 
15.1%
1 19979
 
5.7%
동 13692
 
3.9%
인 11270
 
3.2%
천 10754
 
3.1%
시 10722
 
3.1%
구 10529
 
3.0%
역 10209
 
2.9%
광 10137
 
2.9%
로 10000
 
2.8%
Other values (637) 190833
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211271
60.2%
Decimal Number 59490
 
16.9%
Space Separator 52852
 
15.1%
Close Punctuation 9792
 
2.8%
Open Punctuation 9792
 
2.8%
Other Punctuation 3763
 
1.1%
Uppercase Letter 2038
 
0.6%
Dash Punctuation 1518
 
0.4%
Lowercase Letter 324
 
0.1%
Math Symbol 122
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13692
 
6.5%
인 11270
 
5.3%
천 10754
 
5.1%
시 10722
 
5.1%
구 10529
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10000
 
4.7%
층 7246
 
3.4%
호 7058
 
3.3%
Other values (559) 109654
51.9%
Uppercase Letter
ValueCountFrequency (%)
B 379
18.6%
A 251
12.3%
E 163
 
8.0%
C 150
 
7.4%
S 134
 
6.6%
D 101
 
5.0%
T 82
 
4.0%
I 79
 
3.9%
R 74
 
3.6%
K 70
 
3.4%
Other values (16) 555
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 95
29.3%
s 47
14.5%
a 41
12.7%
r 28
 
8.6%
t 24
 
7.4%
d 23
 
7.1%
y 11
 
3.4%
k 9
 
2.8%
o 9
 
2.8%
c 7
 
2.2%
Other values (11) 30
 
9.3%
Decimal Number
ValueCountFrequency (%)
1 19979
33.6%
2 7615
 
12.8%
0 6599
 
11.1%
3 5265
 
8.9%
4 4199
 
7.1%
5 3713
 
6.2%
6 3448
 
5.8%
7 3131
 
5.3%
8 2947
 
5.0%
9 2594
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 3693
98.1%
. 30
 
0.8%
' 21
 
0.6%
& 7
 
0.2%
/ 5
 
0.1%
@ 4
 
0.1%
＆ 1
 
< 0.1%
· 1
 
< 0.1%
# 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
③ 1
25.0%
② 1
25.0%
④ 1
25.0%
① 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
45.5%
Ⅲ 3
27.3%
Ⅰ 3
27.3%
Space Separator
ValueCountFrequency (%)
52852
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9792
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1518
100.0%
Math Symbol
ValueCountFrequency (%)
~ 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211271
60.2%
Common 137333
39.1%
Latin 2373
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13692
 
6.5%
인 11270
 
5.3%
천 10754
 
5.1%
시 10722
 
5.1%
구 10529
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10000
 
4.7%
층 7246
 
3.4%
호 7058
 
3.3%
Other values (559) 109654
51.9%
Latin
ValueCountFrequency (%)
B 379
16.0%
A 251
 
10.6%
E 163
 
6.9%
C 150
 
6.3%
S 134
 
5.6%
D 101
 
4.3%
e 95
 
4.0%
T 82
 
3.5%
I 79
 
3.3%
R 74
 
3.1%
Other values (40) 865
36.5%
Common
ValueCountFrequency (%)
52852
38.5%
1 19979
 
14.5%
) 9792
 
7.1%
( 9792
 
7.1%
2 7615
 
5.5%
0 6599
 
4.8%
3 5265
 
3.8%
4 4199
 
3.1%
5 3713
 
2.7%
, 3693
 
2.7%
Other values (18) 13834
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211246
60.2%
ASCII 139689
39.8%
Compat Jamo 25
 
< 0.1%
Number Forms 11
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52852
37.8%
1 19979
 
14.3%
) 9792
 
7.0%
( 9792
 
7.0%
2 7615
 
5.5%
0 6599
 
4.7%
3 5265
 
3.8%
4 4199
 
3.0%
5 3713
 
2.7%
, 3693
 
2.6%
Other values (59) 16190
 
11.6%
Hangul
ValueCountFrequency (%)
동 13692
 
6.5%
인 11270
 
5.3%
천 10754
 
5.1%
시 10722
 
5.1%
구 10529
 
5.0%
역 10209
 
4.8%
광 10137
 
4.8%
로 10000
 
4.7%
층 7246
 
3.4%
호 7058
 
3.3%
Other values (558) 109629
51.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 25
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
45.5%
Ⅲ 3
27.3%
Ⅰ 3
27.3%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
25.0%
② 1
25.0%
④ 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

2024-03-18T11:16:44.789004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:44.862322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2024-03-18T11:16:42.214177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:16:44.908525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9740.237
인허가관할기관0.9741.0000.235
업태0.2370.2351.000
2024-03-18T11:16:44.977446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업태
인허가관할기관1.0000.093
업태0.0931.000
2024-03-18T11:16:45.053887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.7180.094
인허가관할기관0.7181.0000.093
업태0.0940.0931.000

Missing values

2024-03-18T11:16:42.369100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:16:42.479740image/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
99449945인천광역시 중구라커룸(본점)휴게음식점기타 휴게음식점인천광역시 중구 서해대로 470(1층 신흥동2가)정상
23542355인천광역시 서구CU가정시티점휴게음식점편의점인천광역시 서구 봉오재3로 66(상가3동 101호 가정동, 루원시티프라디움)정상
33183319인천광역시 부평구팔천순대(동암점)휴게음식점일반조리판매인천광역시 부평구 배곶로 26-1(1층 일부 십정동)정상
79247925인천광역시 미추홀구커피다연휴게음식점커피숍인천광역시 미추홀구 인하로236번길 1(주안동)정상
38903891인천광역시 부평구씨유청천그린점휴게음식점편의점인천광역시 부평구 청농로 62(1층 청천동)정상
12731274인천광역시 서구에이아이오아카데미휴게음식점커피숍인천광역시 서구 연희로 6(4층 일부 연희동)정상
16211622인천광역시 서구세븐일레븐 가정루원시티점휴게음식점편의점인천광역시 서구 가정로406번길 14-1(1층 일부호 가정동)정상
97009701인천광역시 중구스타벅스 영종하늘도시점휴게음식점커피숍인천광역시 중구 하늘중앙로195번길 15(세영프라자 104호 중산동)정상
16371638인천광역시 서구설빙인천검암점휴게음식점기타 휴게음식점인천광역시 서구 승학로 494(검암동, 준암프라자 201호,202호)정상
52545255인천광역시 남동구이디야커피 인천시청점휴게음식점커피숍인천광역시 남동구 구월로 123(간석동,구월로123 3층일부)정상
연번인허가관할기관업소명업종업태업소주소영업상태
94299430인천광역시 중구철판만두딤섬휴게음식점패스트푸드인천광역시 중구 차이나타운로 22(북성동2가, 1층)정상
95919592인천광역시 중구엉클츄러스휴게음식점푸드트럭인천광역시 중구 구읍로 63(영종역사관 주차장 앞 중산동)정상
25692570인천광역시 계양구지에스25중앙점휴게음식점편의점인천광역시 계양구 장제로 797(정현빌딩 1층 일부호 계산동)정상
50475048인천광역시 남동구카페 리레휴게음식점기타 휴게음식점인천광역시 남동구 용천로168번길 50(1층 일부호 간석동)정상
57225723인천광역시 남동구성수동꿀꽈배기휴게음식점기타 휴게음식점인천광역시 남동구 장승남로 38(반달프라자 1층 101호 만수동)정상
33083309인천광역시 부평구풍경휴게음식점커피숍인천광역시 부평구 세월천로 119-5(2층 청천동)정상
77667767인천광역시 미추홀구피에스타7 용현토지금고점휴게음식점커피숍인천광역시 미추홀구 낙섬중로 11-1(102호 용현동)정상
316317인천광역시 강화군사랑방휴게음식점다방인천광역시 강화군 강화읍 강화대로403번길 15(1층)정상
42124213인천광역시 부평구부평김밥휴게음식점일반조리판매인천광역시 부평구 부흥로304번길 35-7(1층 25호 부평동)정상
15601561인천광역시 서구세븐일레븐(인천원당동문점)휴게음식점편의점인천광역시 서구 원당대로820번길 7(당하동, 동문굿모닝힐 상가동 101호)정상