Overview

Dataset statistics

Number of variables6
Number of observations7654
Missing cells43
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.9 KiB
Average record size in memory48.0 B

Variable types

Categorical1
DateTime2
Text3

Dataset

Description인천광역시 서구 내 음식점(일반, 휴게, 제과 포함)의 도로명주소, 지번주소, 인허가 일자를 포함한 현황을 제공합니다.
URLhttps://www.data.go.kr/data/15081208/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-12 20:59:45.648047
Analysis finished2023-12-12 20:59:47.527509
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
일반음식점
5676 
휴게음식점
1832 
제과점영업
 
146

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 5676
74.2%
휴게음식점 1832
 
23.9%
제과점영업 146
 
1.9%

Length

2023-12-13T05:59:47.593313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:47.698748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5676
74.2%
휴게음식점 1832
 
23.9%
제과점영업 146
 
1.9%

인허가일자
Date

Distinct3642
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
Minimum1972-02-12 00:00:00
Maximum2023-03-30 00:00:00
2023-12-13T05:59:47.819437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:48.065969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct7241
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
2023-12-13T05:59:48.413756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length7.2436634
Min length1

Characters and Unicode

Total characters55443
Distinct characters1048
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6962 ?
Unique (%)91.0%

Sample

1st row인천국제컨트리클럽 대식당
2nd row푸드원
3rd row예전
4th row일미정
5th row드럼통숯불구이
ValueCountFrequency (%)
청라점 155
 
1.6%
검단신도시점 71
 
0.7%
검단점 67
 
0.7%
세븐일레븐 65
 
0.7%
인천청라점 47
 
0.5%
씨유 46
 
0.5%
루원시티점 30
 
0.3%
메가엠지씨커피 22
 
0.2%
가좌점 21
 
0.2%
지에스25 21
 
0.2%
Other values (7449) 9224
94.4%
2023-12-13T05:59:48.893070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2375
 
4.3%
2117
 
3.8%
라 1137
 
2.1%
이 1062
 
1.9%
스 900
 
1.6%
청 836
 
1.5%
천 708
 
1.3%
인 702
 
1.3%
리 694
 
1.3%
가 654
 
1.2%
Other values (1038) 44258
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48159
86.9%
Space Separator 2117
 
3.8%
Uppercase Letter 1774
 
3.2%
Lowercase Letter 1038
 
1.9%
Decimal Number 1010
 
1.8%
Open Punctuation 562
 
1.0%
Close Punctuation 562
 
1.0%
Other Punctuation 206
 
0.4%
Dash Punctuation 9
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2375
 
4.9%
라 1137
 
2.4%
이 1062
 
2.2%
스 900
 
1.9%
청 836
 
1.7%
천 708
 
1.5%
인 702
 
1.5%
리 694
 
1.4%
가 654
 
1.4%
검 561
 
1.2%
Other values (953) 38530
80.0%
Uppercase Letter
ValueCountFrequency (%)
C 186
 
10.5%
S 172
 
9.7%
O 145
 
8.2%
E 138
 
7.8%
G 131
 
7.4%
B 101
 
5.7%
A 94
 
5.3%
F 78
 
4.4%
P 78
 
4.4%
T 74
 
4.2%
Other values (16) 577
32.5%
Lowercase Letter
ValueCountFrequency (%)
e 167
16.1%
a 95
 
9.2%
o 92
 
8.9%
c 68
 
6.6%
f 63
 
6.1%
s 61
 
5.9%
n 60
 
5.8%
t 55
 
5.3%
i 49
 
4.7%
r 46
 
4.4%
Other values (16) 282
27.2%
Other Punctuation
ValueCountFrequency (%)
& 101
49.0%
. 31
 
15.0%
, 30
 
14.6%
' 15
 
7.3%
· 6
 
2.9%
: 6
 
2.9%
# 6
 
2.9%
/ 5
 
2.4%
! 2
 
1.0%
? 1
 
0.5%
Other values (3) 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 308
30.5%
5 171
16.9%
1 127
12.6%
4 88
 
8.7%
0 82
 
8.1%
9 76
 
7.5%
3 60
 
5.9%
8 38
 
3.8%
7 35
 
3.5%
6 25
 
2.5%
Math Symbol
ValueCountFrequency (%)
+ 1
25.0%
< 1
25.0%
> 1
25.0%
~ 1
25.0%
Space Separator
ValueCountFrequency (%)
2117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48132
86.8%
Common 4471
 
8.1%
Latin 2813
 
5.1%
Han 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2375
 
4.9%
라 1137
 
2.4%
이 1062
 
2.2%
스 900
 
1.9%
청 836
 
1.7%
천 708
 
1.5%
인 702
 
1.5%
리 694
 
1.4%
가 654
 
1.4%
검 561
 
1.2%
Other values (928) 38503
80.0%
Latin
ValueCountFrequency (%)
C 186
 
6.6%
S 172
 
6.1%
e 167
 
5.9%
O 145
 
5.2%
E 138
 
4.9%
G 131
 
4.7%
B 101
 
3.6%
a 95
 
3.4%
A 94
 
3.3%
o 92
 
3.3%
Other values (43) 1492
53.0%
Common
ValueCountFrequency (%)
2117
47.3%
( 562
 
12.6%
) 562
 
12.6%
2 308
 
6.9%
5 171
 
3.8%
1 127
 
2.8%
& 101
 
2.3%
4 88
 
2.0%
0 82
 
1.8%
9 76
 
1.7%
Other values (22) 277
 
6.2%
Han
ValueCountFrequency (%)
家 3
 
11.1%
夜 1
 
3.7%
好 1
 
3.7%
火 1
 
3.7%
辛 1
 
3.7%
忠 1
 
3.7%
愛 1
 
3.7%
壘 1
 
3.7%
古 1
 
3.7%
理 1
 
3.7%
Other values (15) 15
55.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48132
86.8%
ASCII 7277
 
13.1%
CJK 26
 
< 0.1%
None 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2375
 
4.9%
라 1137
 
2.4%
이 1062
 
2.2%
스 900
 
1.9%
청 836
 
1.7%
천 708
 
1.5%
인 702
 
1.5%
리 694
 
1.4%
가 654
 
1.4%
검 561
 
1.2%
Other values (928) 38503
80.0%
ASCII
ValueCountFrequency (%)
2117
29.1%
( 562
 
7.7%
) 562
 
7.7%
2 308
 
4.2%
C 186
 
2.6%
S 172
 
2.4%
5 171
 
2.3%
e 167
 
2.3%
O 145
 
2.0%
E 138
 
1.9%
Other values (73) 2749
37.8%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
家 3
 
11.5%
夜 1
 
3.8%
好 1
 
3.8%
火 1
 
3.8%
辛 1
 
3.8%
忠 1
 
3.8%
愛 1
 
3.8%
壘 1
 
3.8%
古 1
 
3.8%
理 1
 
3.8%
Other values (14) 14
53.8%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

Distinct7366
Distinct (%)96.5%
Missing23
Missing (%)0.3%
Memory size59.9 KiB
2023-12-13T05:59:49.213034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length67
Mean length35.33246
Min length20

Characters and Unicode

Total characters269622
Distinct characters497
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7153 ?
Unique (%)93.7%

Sample

1st row인천광역시 서구 도요지로 37 (경서동, 외120필지 국제골프장내)
2nd row인천광역시 서구 방축로 339, 2층 일부호 (가좌동)
3rd row인천광역시 서구 가정로98번길 9-4 (가좌동)
4th row인천광역시 서구 방축로 335 (가좌동)
5th row인천광역시 서구 길주로75번길 1 (석남동)
ValueCountFrequency (%)
인천광역시 7631
 
14.6%
서구 7631
 
14.6%
1층 2103
 
4.0%
청라동 1251
 
2.4%
석남동 893
 
1.7%
가좌동 728
 
1.4%
일부호 667
 
1.3%
가정동 623
 
1.2%
마전동 529
 
1.0%
일부 462
 
0.9%
Other values (4650) 29845
57.0%
2023-12-13T05:59:49.726301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44762
 
16.6%
1 14740
 
5.5%
, 9086
 
3.4%
동 8648
 
3.2%
서 8370
 
3.1%
( 7953
 
2.9%
) 7952
 
2.9%
시 7937
 
2.9%
로 7904
 
2.9%
인 7796
 
2.9%
Other values (487) 144474
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146606
54.4%
Decimal Number 49623
 
18.4%
Space Separator 44762
 
16.6%
Other Punctuation 9164
 
3.4%
Open Punctuation 7955
 
3.0%
Close Punctuation 7954
 
3.0%
Dash Punctuation 1754
 
0.7%
Uppercase Letter 1376
 
0.5%
Lowercase Letter 371
 
0.1%
Math Symbol 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8648
 
5.9%
서 8370
 
5.7%
시 7937
 
5.4%
로 7904
 
5.4%
인 7796
 
5.3%
천 7767
 
5.3%
광 7681
 
5.2%
구 7661
 
5.2%
역 7651
 
5.2%
호 5054
 
3.4%
Other values (427) 70137
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 466
33.9%
A 164
 
11.9%
S 107
 
7.8%
K 95
 
6.9%
E 76
 
5.5%
I 69
 
5.0%
W 68
 
4.9%
V 65
 
4.7%
L 60
 
4.4%
M 46
 
3.3%
Other values (12) 160
 
11.6%
Lowercase Letter
ValueCountFrequency (%)
e 119
32.1%
s 67
18.1%
a 57
15.4%
r 56
15.1%
d 56
15.1%
c 7
 
1.9%
b 3
 
0.8%
k 2
 
0.5%
o 1
 
0.3%
n 1
 
0.3%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 14740
29.7%
2 6749
13.6%
0 6244
12.6%
3 4144
 
8.4%
4 3581
 
7.2%
5 3174
 
6.4%
6 2933
 
5.9%
7 2823
 
5.7%
8 2742
 
5.5%
9 2493
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 9086
99.1%
' 57
 
0.6%
. 12
 
0.1%
& 5
 
0.1%
* 2
 
< 0.1%
/ 1
 
< 0.1%
@ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7953
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7952
> 99.9%
] 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
44762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1754
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146605
54.4%
Common 121256
45.0%
Latin 1760
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8648
 
5.9%
서 8370
 
5.7%
시 7937
 
5.4%
로 7904
 
5.4%
인 7796
 
5.3%
천 7767
 
5.3%
광 7681
 
5.2%
구 7661
 
5.2%
역 7651
 
5.2%
호 5054
 
3.4%
Other values (426) 70136
47.8%
Latin
ValueCountFrequency (%)
B 466
26.5%
A 164
 
9.3%
e 119
 
6.8%
S 107
 
6.1%
K 95
 
5.4%
E 76
 
4.3%
I 69
 
3.9%
W 68
 
3.9%
s 67
 
3.8%
V 65
 
3.7%
Other values (26) 464
26.4%
Common
ValueCountFrequency (%)
44762
36.9%
1 14740
 
12.2%
, 9086
 
7.5%
( 7953
 
6.6%
) 7952
 
6.6%
2 6749
 
5.6%
0 6244
 
5.1%
3 4144
 
3.4%
4 3581
 
3.0%
5 3174
 
2.6%
Other values (14) 12871
 
10.6%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146517
54.3%
ASCII 123003
45.6%
Compat Jamo 88
 
< 0.1%
Number Forms 13
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44762
36.4%
1 14740
 
12.0%
, 9086
 
7.4%
( 7953
 
6.5%
) 7952
 
6.5%
2 6749
 
5.5%
0 6244
 
5.1%
3 4144
 
3.4%
4 3581
 
2.9%
5 3174
 
2.6%
Other values (48) 14618
 
11.9%
Hangul
ValueCountFrequency (%)
동 8648
 
5.9%
서 8370
 
5.7%
시 7937
 
5.4%
로 7904
 
5.4%
인 7796
 
5.3%
천 7767
 
5.3%
광 7681
 
5.2%
구 7661
 
5.2%
역 7651
 
5.2%
호 5054
 
3.4%
Other values (425) 70048
47.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 88
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(지번)
Text

Distinct6983
Distinct (%)91.5%
Missing20
Missing (%)0.3%
Memory size59.9 KiB
2023-12-13T05:59:50.073683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length54
Mean length26.908174
Min length15

Characters and Unicode

Total characters205417
Distinct characters475
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6571 ?
Unique (%)86.1%

Sample

1st row인천광역시 서구 경서동 720-1 외120필지 국제골프장내
2nd row인천광역시 서구 가좌동 606-35 2층일부
3rd row인천광역시 서구 가좌동 145-48
4th row인천광역시 서구 가좌동 606-21
5th row인천광역시 서구 석남동 519-4
ValueCountFrequency (%)
인천광역시 7634
 
18.4%
서구 7634
 
18.4%
청라동 1631
 
3.9%
1층 1192
 
2.9%
석남동 952
 
2.3%
가좌동 795
 
1.9%
가정동 634
 
1.5%
마전동 536
 
1.3%
일부 503
 
1.2%
심곡동 456
 
1.1%
Other values (5673) 19552
47.1%
2023-12-13T05:59:50.556419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41463
20.2%
1 13852
 
6.7%
동 8364
 
4.1%
시 7934
 
3.9%
서 7850
 
3.8%
인 7794
 
3.8%
천 7752
 
3.8%
광 7677
 
3.7%
구 7665
 
3.7%
역 7653
 
3.7%
Other values (465) 87413
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106108
51.7%
Decimal Number 47499
23.1%
Space Separator 41463
 
20.2%
Dash Punctuation 6975
 
3.4%
Uppercase Letter 1221
 
0.6%
Other Punctuation 905
 
0.4%
Open Punctuation 412
 
0.2%
Close Punctuation 411
 
0.2%
Lowercase Letter 369
 
0.2%
Math Symbol 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8364
 
7.9%
시 7934
 
7.5%
서 7850
 
7.4%
인 7794
 
7.3%
천 7752
 
7.3%
광 7677
 
7.2%
구 7665
 
7.2%
역 7653
 
7.2%
호 3684
 
3.5%
라 3341
 
3.1%
Other values (406) 36394
34.3%
Uppercase Letter
ValueCountFrequency (%)
B 377
30.9%
A 132
 
10.8%
S 98
 
8.0%
K 95
 
7.8%
E 75
 
6.1%
I 67
 
5.5%
W 66
 
5.4%
V 64
 
5.2%
L 64
 
5.2%
M 46
 
3.8%
Other values (12) 137
 
11.2%
Lowercase Letter
ValueCountFrequency (%)
e 118
32.0%
s 67
18.2%
a 57
15.4%
r 56
15.2%
d 56
15.2%
c 6
 
1.6%
b 3
 
0.8%
k 2
 
0.5%
o 1
 
0.3%
m 1
 
0.3%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 13852
29.2%
0 6056
12.7%
2 5565
11.7%
5 3873
 
8.2%
3 3747
 
7.9%
6 3380
 
7.1%
4 3313
 
7.0%
7 2785
 
5.9%
8 2527
 
5.3%
9 2401
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 827
91.4%
' 57
 
6.3%
. 12
 
1.3%
& 6
 
0.7%
@ 1
 
0.1%
/ 1
 
0.1%
: 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 40
97.6%
→ 1
 
2.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
41463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6975
100.0%
Open Punctuation
ValueCountFrequency (%)
( 412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 411
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106107
51.7%
Common 97706
47.6%
Latin 1603
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8364
 
7.9%
시 7934
 
7.5%
서 7850
 
7.4%
인 7794
 
7.3%
천 7752
 
7.3%
광 7677
 
7.2%
구 7665
 
7.2%
역 7653
 
7.2%
호 3684
 
3.5%
라 3341
 
3.1%
Other values (405) 36393
34.3%
Latin
ValueCountFrequency (%)
B 377
23.5%
A 132
 
8.2%
e 118
 
7.4%
S 98
 
6.1%
K 95
 
5.9%
E 75
 
4.7%
I 67
 
4.2%
s 67
 
4.2%
W 66
 
4.1%
V 64
 
4.0%
Other values (26) 444
27.7%
Common
ValueCountFrequency (%)
41463
42.4%
1 13852
 
14.2%
- 6975
 
7.1%
0 6056
 
6.2%
2 5565
 
5.7%
5 3873
 
4.0%
3 3747
 
3.8%
6 3380
 
3.5%
4 3313
 
3.4%
7 2785
 
2.9%
Other values (13) 6697
 
6.9%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106017
51.6%
ASCII 99295
48.3%
Compat Jamo 90
 
< 0.1%
Number Forms 13
 
< 0.1%
Arrows 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41463
41.8%
1 13852
 
14.0%
- 6975
 
7.0%
0 6056
 
6.1%
2 5565
 
5.6%
5 3873
 
3.9%
3 3747
 
3.8%
6 3380
 
3.4%
4 3313
 
3.3%
7 2785
 
2.8%
Other values (46) 8286
 
8.3%
Hangul
ValueCountFrequency (%)
동 8364
 
7.9%
시 7934
 
7.5%
서 7850
 
7.4%
인 7794
 
7.4%
천 7752
 
7.3%
광 7677
 
7.2%
구 7665
 
7.2%
역 7653
 
7.2%
호 3684
 
3.5%
라 3341
 
3.2%
Other values (403) 36303
34.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 89
98.9%
ㅊ 1
 
1.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
Minimum2023-03-30 00:00:00
Maximum2023-03-30 00:00:00
2023-12-13T05:59:50.675617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:50.799435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T05:59:47.193898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:59:47.331275image/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.
2023-12-13T05:59:47.459795image/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

업종인허가일자업소명소재지(도로명)소재지(지번)데이터기준일
0일반음식점1972-02-12인천국제컨트리클럽 대식당인천광역시 서구 도요지로 37 (경서동, 외120필지 국제골프장내)인천광역시 서구 경서동 720-1 외120필지 국제골프장내2023-03-30
1일반음식점1972-09-12푸드원인천광역시 서구 방축로 339, 2층 일부호 (가좌동)인천광역시 서구 가좌동 606-35 2층일부2023-03-30
2일반음식점1974-06-30예전인천광역시 서구 가정로98번길 9-4 (가좌동)인천광역시 서구 가좌동 145-482023-03-30
3일반음식점1980-09-04일미정인천광역시 서구 방축로 335 (가좌동)인천광역시 서구 가좌동 606-212023-03-30
4일반음식점1980-10-29드럼통숯불구이인천광역시 서구 길주로75번길 1 (석남동)인천광역시 서구 석남동 519-42023-03-30
5일반음식점1981-11-12효정통닭인천광역시 서구 가정로126번길 16 (가좌동)인천광역시 서구 가좌동 144-52023-03-30
6일반음식점1982-06-22엄스키친인천광역시 서구 검단로487번길 4 (마전동)인천광역시 서구 마전동 933-22023-03-30
7일반음식점1983-08-27성원닭갈비식당인천광역시 서구 가정로98번길 6 (가좌동)인천광역시 서구 가좌동 155-72023-03-30
8일반음식점1984-05-14본죽인천광역시 서구 가정로 187 (석남동)인천광역시 서구 석남동 582-162023-03-30
9일반음식점1984-05-14예당추어탕인천광역시 서구 원적로100번길 6 (가좌동)인천광역시 서구 가좌동 30-392023-03-30
업종인허가일자업소명소재지(도로명)소재지(지번)데이터기준일
7644제과점영업2022-08-16뚜레쥬르 청라시티프라디움점인천광역시 서구 청라한내로 131, 104, 105호 (청라동, 인천청라시티프라디움)인천광역시 서구 청라동 84-7 인천청라시티프라디움 104, 105호2023-03-30
7645제과점영업2022-08-22밀:릇인천광역시 서구 청라커낼로 280, 청라골든프라자 103호 (청라동)인천광역시 서구 청라동 157-5 청라골든프라자 103호2023-03-30
7646제과점영업2022-09-13(OHWONDER)오원더인천광역시 서구 대평로 5, 107동 B111호일부호 (심곡동, 파인빌)인천광역시 서구 심곡동 239 파인빌 B111호일부 107동2023-03-30
7647제과점영업2022-11-25청라제과인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 207호 (청라동)인천광역시 서구 청라동 157-6 청라 봄 빌딩 207호2023-03-30
7648제과점영업2022-12-15Ruby's레터링케이크전문점인천광역시 서구 청라에메랄드로 99, 지젤엠청라 B1층 B50호 (청라동)인천광역시 서구 청라동 165-12 지젤엠청라 B50호2023-03-30
7649제과점영업2022-12-19파리바게뜨 검단모아미래도점인천광역시 서구 서로3로 50, 809동 224,225호 (당하동, 검단신도시 모아미래도 엘리트파크)인천광역시 서구 당하동 1318-8 검단신도시 모아미래도 엘리트파크2023-03-30
7650제과점영업2023-01-20플래비츠인천광역시 서구 염곡로498번안길 5, 1층 (가정동)인천광역시 서구 가정동 612-232023-03-30
7651제과점영업2023-03-10파리바게뜨 루원시티인천광역시 서구 봉오대로 270, 302동 B206호 (가정동, 루원시티2차 SK Leaders' VIEW)인천광역시 서구 가정동 0 루원시티2차 SK Leaders' VIEW 302동 B206호2023-03-30
7652제과점영업2023-03-22아침엔바게트인천광역시 서구 원적로96번길 26, 107호 (가좌동)인천광역시 서구 가좌동 30-48 107호2023-03-30
7653제과점영업2023-03-23도해랑인천광역시 서구 청라루비로 76, 청라 스퀘어7 제2층 240호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7 제2층 240호2023-03-30