Overview

Dataset statistics

Number of variables9
Number of observations1433
Missing cells884
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.9 KiB
Average record size in memory72.1 B

Variable types

Categorical3
Text4
DateTime2

Dataset

Description인천 광역시 서구 관내에 위치한 휴게음식점 신고현황 (업종명, (도로,지번), 전화번호) 에 관하여 현행화 데이터파일 입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089696/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 879 (61.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:29:23.026787
Analysis finished2023-12-12 14:29:24.459900
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
휴게음식점
1433 

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 1433
100.0%

Length

2023-12-12T23:29:24.525247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:29:24.630816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1433
100.0%

업소명
Text

Distinct1373
Distinct (%)95.9%
Missing1
Missing (%)0.1%
Memory size11.3 KiB
2023-12-12T23:29:24.921751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length8.2178771
Min length1

Characters and Unicode

Total characters11768
Distinct characters621
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1330 ?
Unique (%)92.9%

Sample

1st row경인다방
2nd row까치다방
3rd row대성다방
4th row석류다방
5th row지혜다방
ValueCountFrequency (%)
세븐일레븐 34
 
1.8%
gs25 24
 
1.3%
씨유 13
 
0.7%
이디야커피 13
 
0.7%
카페 12
 
0.6%
인천청라점 11
 
0.6%
coffee 10
 
0.5%
투썸플레이스 10
 
0.5%
이디야 9
 
0.5%
cafe 9
 
0.5%
Other values (1486) 1721
92.2%
2023-12-12T23:29:25.349674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 637
 
5.4%
434
 
3.7%
스 300
 
2.5%
라 255
 
2.2%
이 241
 
2.0%
피 233
 
2.0%
인 204
 
1.7%
다 197
 
1.7%
커 195
 
1.7%
카 195
 
1.7%
Other values (611) 8877
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9490
80.6%
Uppercase Letter 779
 
6.6%
Space Separator 434
 
3.7%
Decimal Number 366
 
3.1%
Lowercase Letter 345
 
2.9%
Open Punctuation 164
 
1.4%
Close Punctuation 164
 
1.4%
Other Punctuation 19
 
0.2%
Dash Punctuation 6
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 637
 
6.7%
스 300
 
3.2%
라 255
 
2.7%
이 241
 
2.5%
피 233
 
2.5%
인 204
 
2.1%
다 197
 
2.1%
커 195
 
2.1%
카 195
 
2.1%
청 194
 
2.0%
Other values (543) 6839
72.1%
Uppercase Letter
ValueCountFrequency (%)
C 124
15.9%
S 95
12.2%
G 77
9.9%
E 64
 
8.2%
P 61
 
7.8%
O 45
 
5.8%
A 43
 
5.5%
U 37
 
4.7%
F 37
 
4.7%
T 26
 
3.3%
Other values (15) 170
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 70
20.3%
f 36
10.4%
a 30
8.7%
o 30
8.7%
c 22
 
6.4%
l 22
 
6.4%
n 21
 
6.1%
i 17
 
4.9%
t 15
 
4.3%
r 14
 
4.1%
Other values (13) 68
19.7%
Decimal Number
ValueCountFrequency (%)
2 147
40.2%
5 94
25.7%
4 50
 
13.7%
9 19
 
5.2%
3 18
 
4.9%
1 13
 
3.6%
0 11
 
3.0%
8 8
 
2.2%
6 5
 
1.4%
7 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 5
26.3%
. 4
21.1%
' 4
21.1%
& 3
15.8%
, 3
15.8%
Space Separator
ValueCountFrequency (%)
434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9490
80.6%
Common 1154
 
9.8%
Latin 1124
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 637
 
6.7%
스 300
 
3.2%
라 255
 
2.7%
이 241
 
2.5%
피 233
 
2.5%
인 204
 
2.1%
다 197
 
2.1%
커 195
 
2.1%
카 195
 
2.1%
청 194
 
2.0%
Other values (543) 6839
72.1%
Latin
ValueCountFrequency (%)
C 124
 
11.0%
S 95
 
8.5%
G 77
 
6.9%
e 70
 
6.2%
E 64
 
5.7%
P 61
 
5.4%
O 45
 
4.0%
A 43
 
3.8%
U 37
 
3.3%
F 37
 
3.3%
Other values (38) 471
41.9%
Common
ValueCountFrequency (%)
434
37.6%
( 164
 
14.2%
) 164
 
14.2%
2 147
 
12.7%
5 94
 
8.1%
4 50
 
4.3%
9 19
 
1.6%
3 18
 
1.6%
1 13
 
1.1%
0 11
 
1.0%
Other values (10) 40
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9490
80.6%
ASCII 2277
 
19.3%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 637
 
6.7%
스 300
 
3.2%
라 255
 
2.7%
이 241
 
2.5%
피 233
 
2.5%
인 204
 
2.1%
다 197
 
2.1%
커 195
 
2.1%
카 195
 
2.1%
청 194
 
2.0%
Other values (543) 6839
72.1%
ASCII
ValueCountFrequency (%)
434
19.1%
( 164
 
7.2%
) 164
 
7.2%
2 147
 
6.5%
C 124
 
5.4%
S 95
 
4.2%
5 94
 
4.1%
G 77
 
3.4%
e 70
 
3.1%
E 64
 
2.8%
Other values (57) 844
37.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

인허가일자
Date

Distinct1054
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum1980-01-17 00:00:00
Maximum2020-08-31 00:00:00
2023-12-12T23:29:25.473521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:29:25.607396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지(도로명)
Text

Distinct1398
Distinct (%)97.8%
Missing3
Missing (%)0.2%
Memory size11.3 KiB
2023-12-12T23:29:25.877373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length34.211888
Min length20

Characters and Unicode

Total characters48923
Distinct characters395
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1372 ?
Unique (%)95.9%

Sample

1st row인천광역시 서구 율도로 90 (석남동)
2nd row인천광역시 서구 가정로 190 (석남동)
3rd row인천광역시 서구 가정로 204, 지하층 (석남동)
4th row인천광역시 서구 가정로98번길 9 (가좌동)
5th row인천광역시 서구 검단로 483-1 (마전동)
ValueCountFrequency (%)
인천광역시 1431
 
15.0%
서구 1430
 
14.9%
1층 351
 
3.7%
청라동 201
 
2.1%
석남동 178
 
1.9%
가좌동 175
 
1.8%
마전동 116
 
1.2%
가정동 107
 
1.1%
연희동 96
 
1.0%
당하동 92
 
1.0%
Other values (1572) 5390
56.3%
2023-12-12T23:29:26.331723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8137
 
16.6%
1 2472
 
5.1%
, 2061
 
4.2%
동 1628
 
3.3%
서 1612
 
3.3%
로 1475
 
3.0%
인 1467
 
3.0%
시 1462
 
3.0%
천 1461
 
3.0%
구 1443
 
2.9%
Other values (385) 25705
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27066
55.3%
Decimal Number 8281
 
16.9%
Space Separator 8137
 
16.6%
Other Punctuation 2066
 
4.2%
Close Punctuation 1437
 
2.9%
Open Punctuation 1437
 
2.9%
Dash Punctuation 192
 
0.4%
Uppercase Letter 177
 
0.4%
Math Symbol 129
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1628
 
6.0%
서 1612
 
6.0%
로 1475
 
5.4%
인 1467
 
5.4%
시 1462
 
5.4%
천 1461
 
5.4%
구 1443
 
5.3%
광 1441
 
5.3%
역 1440
 
5.3%
라 798
 
2.9%
Other values (345) 12839
47.4%
Uppercase Letter
ValueCountFrequency (%)
B 61
34.5%
A 29
16.4%
K 10
 
5.6%
E 9
 
5.1%
M 7
 
4.0%
D 7
 
4.0%
S 7
 
4.0%
R 6
 
3.4%
C 5
 
2.8%
F 5
 
2.8%
Other values (11) 31
17.5%
Decimal Number
ValueCountFrequency (%)
1 2472
29.9%
0 1093
13.2%
2 1086
13.1%
3 659
 
8.0%
4 611
 
7.4%
6 513
 
6.2%
5 492
 
5.9%
8 476
 
5.7%
7 470
 
5.7%
9 409
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 2061
99.8%
& 3
 
0.1%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
8137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1437
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 129
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27066
55.3%
Common 21679
44.3%
Latin 178
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1628
 
6.0%
서 1612
 
6.0%
로 1475
 
5.4%
인 1467
 
5.4%
시 1462
 
5.4%
천 1461
 
5.4%
구 1443
 
5.3%
광 1441
 
5.3%
역 1440
 
5.3%
라 798
 
2.9%
Other values (345) 12839
47.4%
Latin
ValueCountFrequency (%)
B 61
34.3%
A 29
16.3%
K 10
 
5.6%
E 9
 
5.1%
M 7
 
3.9%
D 7
 
3.9%
S 7
 
3.9%
R 6
 
3.4%
C 5
 
2.8%
F 5
 
2.8%
Other values (12) 32
18.0%
Common
ValueCountFrequency (%)
8137
37.5%
1 2472
 
11.4%
, 2061
 
9.5%
) 1437
 
6.6%
( 1437
 
6.6%
0 1093
 
5.0%
2 1086
 
5.0%
3 659
 
3.0%
4 611
 
2.8%
6 513
 
2.4%
Other values (8) 2173
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27066
55.3%
ASCII 21857
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8137
37.2%
1 2472
 
11.3%
, 2061
 
9.4%
) 1437
 
6.6%
( 1437
 
6.6%
0 1093
 
5.0%
2 1086
 
5.0%
3 659
 
3.0%
4 611
 
2.8%
6 513
 
2.3%
Other values (30) 2351
 
10.8%
Hangul
ValueCountFrequency (%)
동 1628
 
6.0%
서 1612
 
6.0%
로 1475
 
5.4%
인 1467
 
5.4%
시 1462
 
5.4%
천 1461
 
5.4%
구 1443
 
5.3%
광 1441
 
5.3%
역 1440
 
5.3%
라 798
 
2.9%
Other values (345) 12839
47.4%

소재지(지번)
Text

Distinct1373
Distinct (%)95.9%
Missing1
Missing (%)0.1%
Memory size11.3 KiB
2023-12-12T23:29:26.614847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length49
Mean length26.864525
Min length15

Characters and Unicode

Total characters38470
Distinct characters373
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1328 ?
Unique (%)92.7%

Sample

1st row인천광역시 서구 석남동 455
2nd row인천광역시 서구 석남동 576-38
3rd row인천광역시 서구 석남동 576 지하
4th row인천광역시 서구 가좌동 145-83
5th row인천광역시 서구 마전동 910-5
ValueCountFrequency (%)
인천광역시 1433
 
18.3%
서구 1432
 
18.3%
청라동 320
 
4.1%
1층 202
 
2.6%
석남동 178
 
2.3%
가좌동 175
 
2.2%
일부 147
 
1.9%
마전동 116
 
1.5%
가정동 107
 
1.4%
당하동 92
 
1.2%
Other values (1797) 3624
46.3%
2023-12-12T23:29:27.103057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7498
19.5%
1 2520
 
6.6%
동 1550
 
4.0%
시 1471
 
3.8%
서 1471
 
3.8%
인 1470
 
3.8%
천 1464
 
3.8%
구 1443
 
3.8%
광 1441
 
3.7%
역 1440
 
3.7%
Other values (363) 16702
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20509
53.3%
Decimal Number 8702
22.6%
Space Separator 7498
 
19.5%
Dash Punctuation 1314
 
3.4%
Uppercase Letter 170
 
0.4%
Other Punctuation 113
 
0.3%
Close Punctuation 77
 
0.2%
Open Punctuation 77
 
0.2%
Math Symbol 9
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1550
 
7.6%
시 1471
 
7.2%
서 1471
 
7.2%
인 1470
 
7.2%
천 1464
 
7.1%
구 1443
 
7.0%
광 1441
 
7.0%
역 1440
 
7.0%
라 636
 
3.1%
호 625
 
3.0%
Other values (321) 7498
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 43
25.3%
A 15
 
8.8%
C 14
 
8.2%
P 11
 
6.5%
K 11
 
6.5%
S 10
 
5.9%
E 10
 
5.9%
M 7
 
4.1%
D 7
 
4.1%
R 6
 
3.5%
Other values (11) 36
21.2%
Decimal Number
ValueCountFrequency (%)
1 2520
29.0%
0 1075
12.4%
2 1031
11.8%
5 772
 
8.9%
3 685
 
7.9%
6 615
 
7.1%
4 560
 
6.4%
7 534
 
6.1%
9 457
 
5.3%
8 453
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 103
91.2%
. 5
 
4.4%
& 3
 
2.7%
@ 1
 
0.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
7498
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20509
53.3%
Common 17790
46.2%
Latin 171
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1550
 
7.6%
시 1471
 
7.2%
서 1471
 
7.2%
인 1470
 
7.2%
천 1464
 
7.1%
구 1443
 
7.0%
광 1441
 
7.0%
역 1440
 
7.0%
라 636
 
3.1%
호 625
 
3.0%
Other values (321) 7498
36.6%
Latin
ValueCountFrequency (%)
B 43
25.1%
A 15
 
8.8%
C 14
 
8.2%
P 11
 
6.4%
K 11
 
6.4%
S 10
 
5.8%
E 10
 
5.8%
M 7
 
4.1%
D 7
 
4.1%
R 6
 
3.5%
Other values (12) 37
21.6%
Common
ValueCountFrequency (%)
7498
42.1%
1 2520
 
14.2%
- 1314
 
7.4%
0 1075
 
6.0%
2 1031
 
5.8%
5 772
 
4.3%
3 685
 
3.9%
6 615
 
3.5%
4 560
 
3.1%
7 534
 
3.0%
Other values (10) 1186
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20484
53.2%
ASCII 17961
46.7%
Compat Jamo 25
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7498
41.7%
1 2520
 
14.0%
- 1314
 
7.3%
0 1075
 
6.0%
2 1031
 
5.7%
5 772
 
4.3%
3 685
 
3.8%
6 615
 
3.4%
4 560
 
3.1%
7 534
 
3.0%
Other values (32) 1357
 
7.6%
Hangul
ValueCountFrequency (%)
동 1550
 
7.6%
시 1471
 
7.2%
서 1471
 
7.2%
인 1470
 
7.2%
천 1464
 
7.1%
구 1443
 
7.0%
광 1441
 
7.0%
역 1440
 
7.0%
라 636
 
3.1%
호 625
 
3.1%
Other values (320) 7473
36.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 25
100.0%

전화번호
Text

MISSING 

Distinct540
Distinct (%)97.5%
Missing879
Missing (%)61.3%
Memory size11.3 KiB
2023-12-12T23:29:27.346617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066787
Min length11

Characters and Unicode

Total characters6685
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

Unique533 ?
Unique (%)96.2%

Sample

1st row032-572-8316
2nd row032-572-6645
3rd row032-574-0199
4th row032-562-5808
5th row032-866-5973
ValueCountFrequency (%)
02-3284-8129 5
 
0.9%
032-440-1052 4
 
0.7%
080-855-5525 4
 
0.7%
032-564-8062 2
 
0.4%
032-577-3600 2
 
0.4%
070-7403-9112 2
 
0.4%
032-572-8801 2
 
0.4%
02-3284-8168 1
 
0.2%
032-563-3693 1
 
0.2%
032-566-2988 1
 
0.2%
Other values (530) 530
95.7%
2023-12-12T23:29:27.852596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1108
16.6%
0 937
14.0%
2 862
12.9%
5 759
11.4%
3 749
11.2%
6 524
7.8%
7 503
7.5%
8 359
 
5.4%
1 354
 
5.3%
4 266
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5577
83.4%
Dash Punctuation 1108
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 937
16.8%
2 862
15.5%
5 759
13.6%
3 749
13.4%
6 524
9.4%
7 503
9.0%
8 359
 
6.4%
1 354
 
6.3%
4 266
 
4.8%
9 264
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1108
16.6%
0 937
14.0%
2 862
12.9%
5 759
11.4%
3 749
11.2%
6 524
7.8%
7 503
7.5%
8 359
 
5.4%
1 354
 
5.3%
4 266
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1108
16.6%
0 937
14.0%
2 862
12.9%
5 759
11.4%
3 749
11.2%
6 524
7.8%
7 503
7.5%
8 359
 
5.4%
1 354
 
5.3%
4 266
 
4.0%

영업자 시작일
Date

Distinct886
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum1987-12-29 00:00:00
Maximum2021-09-23 00:00:00
2023-12-12T23:29:28.035305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:29:28.198012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지위승계여부
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
신규
950 
승계
483 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 950
66.3%
승계 483
33.7%

Length

2023-12-12T23:29:28.397300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:29:28.517473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 950
66.3%
승계 483
33.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2022-09-06
1433 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-06
2nd row2022-09-06
3rd row2022-09-06
4th row2022-09-06
5th row2022-09-06

Common Values

ValueCountFrequency (%)
2022-09-06 1433
100.0%

Length

2023-12-12T23:29:28.661868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:29:28.795121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 1433
100.0%

Missing values

2023-12-12T23:29:24.119972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:29:24.296820image/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.
2023-12-12T23:29:24.401422image/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

업종명업소명인허가일자소재지(도로명)소재지(지번)전화번호영업자 시작일지위승계여부데이터기준일
0휴게음식점경인다방1980-01-17인천광역시 서구 율도로 90 (석남동)인천광역시 서구 석남동 455032-572-83162009-03-11승계2022-09-06
1휴게음식점까치다방1983-04-21인천광역시 서구 가정로 190 (석남동)인천광역시 서구 석남동 576-38032-572-66452005-12-19승계2022-09-06
2휴게음식점대성다방1983-12-23인천광역시 서구 가정로 204, 지하층 (석남동)인천광역시 서구 석남동 576 지하032-574-01992002-11-25승계2022-09-06
3휴게음식점석류다방1983-04-27인천광역시 서구 가정로98번길 9 (가좌동)인천광역시 서구 가좌동 145-83<NA>2020-03-23승계2022-09-06
4휴게음식점지혜다방1983-01-27인천광역시 서구 검단로 483-1 (마전동)인천광역시 서구 마전동 910-5032-562-58082009-09-14승계2022-09-06
5휴게음식점홍다방1984-03-13인천광역시 서구 율도로 64 (석남동)인천광역시 서구 석남동 444-1 지하<NA>2014-05-15승계2022-09-06
6휴게음식점민주다방1984-05-15인천광역시 서구 가정로126번길 13, 지하층 (가좌동)인천광역시 서구 가좌동 140-13 지하032-866-59732017-01-25승계2022-09-06
7휴게음식점경다방1985-02-04인천광역시 서구 검단로 487, 지하 (마전동)인천광역시 서구 마전동 911-4 지하032-563-75282012-04-09승계2022-09-06
8휴게음식점만남다방1986-09-08인천광역시 서구 거북로 88, 지하 (석남동)인천광역시 서구 석남동 583-47 지하032-571-92322014-12-31승계2022-09-06
9휴게음식점카라다방1986-10-06인천광역시 서구 가정로 201 (석남동)인천광역시 서구 석남동 583-46032-571-02802016-02-16승계2022-09-06
업종명업소명인허가일자소재지(도로명)소재지(지번)전화번호영업자 시작일지위승계여부데이터기준일
1423휴게음식점꿀스커피2020-08-18인천광역시 서구 새오개로111번안길 19-1, 104호 (신현동, 유성프라자)인천광역시 서구 신현동 307-8 104호<NA>2020-08-18신규2022-09-06
1424휴게음식점수달커피2020-08-19인천광역시 서구 청마로51번안길 8, 1층 (당하동)인천광역시 서구 당하동 1081-6 1층 일부<NA>2020-08-19신규2022-09-06
1425휴게음식점시나본인천청라점2020-08-19인천광역시 서구 청라라임로 57, 104~105호 (청라동, 영화블렌하임)인천광역시 서구 청라동 162-21 영화블렌하임 104, 105호<NA>2020-08-19신규2022-09-06
1426휴게음식점카페게이트청라호수공원점2020-08-20인천광역시 서구 청라루비로 99, 108호 (청라동, 대우메디피아빌딩)인천광역시 서구 청라동 152-11 대우메디피아빌딩 108호<NA>2020-08-20신규2022-09-06
1427휴게음식점세븐일레븐청라모아미래도점2020-08-20인천광역시 서구 비지니스로 165, 상가동 101호 (청라동, 청라모아미래도)인천광역시 서구 청라동 82-1 청라모아미래도 상가동 101호<NA>2020-08-20신규2022-09-06
1428휴게음식점이마트24R인천서구청점2020-08-21인천광역시 서구 탁옥로 69, 1층 (심곡동, 준호빌딩)인천광역시 서구 심곡동 280-3 준호빌딩<NA>2020-08-21신규2022-09-06
1429휴게음식점카페우수2020-08-26인천광역시 서구 탁옥로 69, 1층 (심곡동, 준호빌딩)인천광역시 서구 심곡동 280-3 준호빌딩<NA>2020-08-26신규2022-09-06
1430휴게음식점다다익선2020-08-27인천광역시 서구 새오개로111번안길 27, 103호 (신현동)인천광역시 서구 신현동 307-3<NA>2020-08-27신규2022-09-06
1431휴게음식점위드카페(WITH CAFE)2020-08-27인천광역시 서구 검암로 38, 1층 (검암동)인천광역시 서구 검암동 503-2 1층 일부호<NA>2020-08-27신규2022-09-06
1432휴게음식점미션카페(mission cafe) 생명나무2020-08-31인천광역시 서구 석남로 115-1, 1층 (석남동)인천광역시 서구 석남동 570-28 1층 일부호<NA>2020-08-31신규2022-09-06