Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells56
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

Text4
Numeric1
Categorical2

Dataset

Description* 「다중이용업소의 안전관리에 관한 특별법」에 따른 다중이용업주의 무과실 화재배상책임보험 가입 편의를 위해 공공정보로 공개하고자 함. - (공개대상) 일련번호, 상호, 주소, 면적, 업종, 영업상태
Author소방청
URLhttps://www.data.go.kr/data/15083979/fileData.do

Alerts

영업장면적 is highly skewed (γ1 = 75.55123575)Skewed
일련번호 has unique valuesUnique
영업장면적 has 581 (5.8%) zerosZeros

Reproduction

Analysis started2023-12-12 02:21:57.446343
Analysis finished2023-12-12 02:22:00.068947
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:22:00.250307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters140000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowMU262009107444
2nd rowMU112013757016
3rd rowMU112013721988
4th rowMU112017793026
5th rowMU112013751266
ValueCountFrequency (%)
mu262009107444 1
 
< 0.1%
mu112019800000 1
 
< 0.1%
mu262009111318 1
 
< 0.1%
mu112013719028 1
 
< 0.1%
mu112019799466 1
 
< 0.1%
mu112015786866 1
 
< 0.1%
mu112016789217 1
 
< 0.1%
mu262013196072 1
 
< 0.1%
mu262009108305 1
 
< 0.1%
mu112013752700 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T11:22:00.683526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 31426
22.4%
2 18790
13.4%
0 18199
13.0%
7 11415
 
8.2%
3 10309
 
7.4%
M 10000
 
7.1%
U 10000
 
7.1%
6 6965
 
5.0%
9 5962
 
4.3%
8 5797
 
4.1%
Other values (2) 11137
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120000
85.7%
Uppercase Letter 20000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31426
26.2%
2 18790
15.7%
0 18199
15.2%
7 11415
 
9.5%
3 10309
 
8.6%
6 6965
 
5.8%
9 5962
 
5.0%
8 5797
 
4.8%
4 5707
 
4.8%
5 5430
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
M 10000
50.0%
U 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
85.7%
Latin 20000
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 31426
26.2%
2 18790
15.7%
0 18199
15.2%
7 11415
 
9.5%
3 10309
 
8.6%
6 6965
 
5.8%
9 5962
 
5.0%
8 5797
 
4.8%
4 5707
 
4.8%
5 5430
 
4.5%
Latin
ValueCountFrequency (%)
M 10000
50.0%
U 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 31426
22.4%
2 18790
13.4%
0 18199
13.0%
7 11415
 
8.2%
3 10309
 
7.4%
M 10000
 
7.1%
U 10000
 
7.1%
6 6965
 
5.0%
9 5962
 
4.3%
8 5797
 
4.1%
Other values (2) 11137
 
8.0%

상호
Text

Distinct9188
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:22:01.079299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length6.8699
Min length1

Characters and Unicode

Total characters68699
Distinct characters1081
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8648 ?
Unique (%)86.5%

Sample

1st row황진이
2nd rowN노래방
3rd row밥이랑술이랑
4th row슈퍼스타코인노래연습장
5th row이수스크린골프
ValueCountFrequency (%)
노래연습장 190
 
1.5%
pc방 120
 
1.0%
pc 75
 
0.6%
주식회사 29
 
0.2%
스타벅스 27
 
0.2%
특수 26
 
0.2%
카페 22
 
0.2%
게임랜드 22
 
0.2%
cafe 22
 
0.2%
더 18
 
0.1%
Other values (9973) 12038
95.6%
2023-12-12T11:22:01.710470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2599
 
3.8%
스 1973
 
2.9%
노 1457
 
2.1%
래 1418
 
2.1%
( 1383
 
2.0%
이 1381
 
2.0%
) 1375
 
2.0%
점 1362
 
2.0%
방 1102
 
1.6%
리 1067
 
1.6%
Other values (1071) 53582
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56592
82.4%
Uppercase Letter 3637
 
5.3%
Space Separator 2599
 
3.8%
Open Punctuation 1386
 
2.0%
Close Punctuation 1378
 
2.0%
Lowercase Letter 1184
 
1.7%
Decimal Number 1060
 
1.5%
Other Punctuation 798
 
1.2%
Dash Punctuation 44
 
0.1%
Other Symbol 9
 
< 0.1%
Other values (5) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1973
 
3.5%
노 1457
 
2.6%
래 1418
 
2.5%
이 1381
 
2.4%
점 1362
 
2.4%
방 1102
 
1.9%
리 1067
 
1.9%
장 1008
 
1.8%
연 835
 
1.5%
시 832
 
1.5%
Other values (982) 44157
78.0%
Uppercase Letter
ValueCountFrequency (%)
C 818
22.5%
P 789
21.7%
S 182
 
5.0%
O 178
 
4.9%
E 148
 
4.1%
A 133
 
3.7%
N 122
 
3.4%
T 120
 
3.3%
M 109
 
3.0%
I 108
 
3.0%
Other values (16) 930
25.6%
Lowercase Letter
ValueCountFrequency (%)
e 159
13.4%
c 114
 
9.6%
a 104
 
8.8%
o 101
 
8.5%
p 86
 
7.3%
n 67
 
5.7%
r 65
 
5.5%
l 55
 
4.6%
i 55
 
4.6%
s 51
 
4.3%
Other values (16) 327
27.6%
Other Punctuation
ValueCountFrequency (%)
. 630
78.9%
, 88
 
11.0%
& 45
 
5.6%
/ 10
 
1.3%
: 8
 
1.0%
' 4
 
0.5%
! 4
 
0.5%
# 3
 
0.4%
% 2
 
0.3%
＆ 2
 
0.3%
Other values (2) 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 244
23.0%
0 198
18.7%
1 174
16.4%
3 120
11.3%
8 80
 
7.5%
7 72
 
6.8%
4 59
 
5.6%
5 43
 
4.1%
9 42
 
4.0%
6 28
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 1383
99.8%
[ 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1375
99.8%
] 3
 
0.2%
Other Symbol
ValueCountFrequency (%)
㈜ 8
88.9%
℃ 1
 
11.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
2599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56591
82.4%
Common 7273
 
10.6%
Latin 4826
 
7.0%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1973
 
3.5%
노 1457
 
2.6%
래 1418
 
2.5%
이 1381
 
2.4%
점 1362
 
2.4%
방 1102
 
1.9%
리 1067
 
1.9%
장 1008
 
1.8%
연 835
 
1.5%
시 832
 
1.5%
Other values (975) 44156
78.0%
Latin
ValueCountFrequency (%)
C 818
 
16.9%
P 789
 
16.3%
S 182
 
3.8%
O 178
 
3.7%
e 159
 
3.3%
E 148
 
3.1%
A 133
 
2.8%
N 122
 
2.5%
T 120
 
2.5%
c 114
 
2.4%
Other values (44) 2063
42.7%
Common
ValueCountFrequency (%)
2599
35.7%
( 1383
19.0%
) 1375
18.9%
. 630
 
8.7%
2 244
 
3.4%
0 198
 
2.7%
1 174
 
2.4%
3 120
 
1.6%
, 88
 
1.2%
8 80
 
1.1%
Other values (24) 382
 
5.3%
Han
ValueCountFrequency (%)
水 2
22.2%
淸 1
11.1%
安 1
11.1%
光 1
11.1%
年 1
11.1%
元 1
11.1%
八 1
11.1%
作 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56583
82.4%
ASCII 12089
 
17.6%
None 12
 
< 0.1%
CJK 9
 
< 0.1%
Number Forms 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2599
21.5%
( 1383
 
11.4%
) 1375
 
11.4%
C 818
 
6.8%
P 789
 
6.5%
. 630
 
5.2%
2 244
 
2.0%
0 198
 
1.6%
S 182
 
1.5%
O 178
 
1.5%
Other values (72) 3693
30.5%
Hangul
ValueCountFrequency (%)
스 1973
 
3.5%
노 1457
 
2.6%
래 1418
 
2.5%
이 1381
 
2.4%
점 1362
 
2.4%
방 1102
 
1.9%
리 1067
 
1.9%
장 1008
 
1.8%
연 835
 
1.5%
시 832
 
1.5%
Other values (974) 44148
78.0%
None
ValueCountFrequency (%)
㈜ 8
66.7%
＆ 2
 
16.7%
₂ 1
 
8.3%
· 1
 
8.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%
CJK
ValueCountFrequency (%)
水 2
22.2%
淸 1
11.1%
安 1
11.1%
光 1
11.1%
年 1
11.1%
元 1
11.1%
八 1
11.1%
作 1
11.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

지번주소
Text

Distinct8524
Distinct (%)85.5%
Missing33
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T11:22:02.197759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21.410154
Min length12

Characters and Unicode

Total characters213395
Distinct characters239
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7603 ?
Unique (%)76.3%

Sample

1st row부산광역시 영도구 봉래동3가 2-2번지
2nd row서울특별시 관악구 신림동 1515-4번지
3rd row서울특별시 송파구 잠실동 27-0번지
4th row서울특별시 구로구 구로동 1125-1번지
5th row서울특별시 동작구 사당동 169-8번지
ValueCountFrequency (%)
서울특별시 7977
 
20.0%
부산광역시 1990
 
5.0%
강남구 982
 
2.5%
송파구 564
 
1.4%
중구 543
 
1.4%
서초구 487
 
1.2%
관악구 442
 
1.1%
영등포구 436
 
1.1%
종로구 403
 
1.0%
마포구 402
 
1.0%
Other values (7655) 25685
64.4%
2023-12-12T11:22:02.756405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29944
 
14.0%
동 10857
 
5.1%
구 10371
 
4.9%
지 10052
 
4.7%
시 10032
 
4.7%
번 9994
 
4.7%
- 9571
 
4.5%
서 9563
 
4.5%
1 8562
 
4.0%
특 7977
 
3.7%
Other values (229) 96472
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131172
61.5%
Decimal Number 42706
 
20.0%
Space Separator 29944
 
14.0%
Dash Punctuation 9571
 
4.5%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10857
 
8.3%
구 10371
 
7.9%
지 10052
 
7.7%
시 10032
 
7.6%
번 9994
 
7.6%
서 9563
 
7.3%
특 7977
 
6.1%
별 7977
 
6.1%
울 7977
 
6.1%
산 2787
 
2.1%
Other values (215) 43585
33.2%
Decimal Number
ValueCountFrequency (%)
1 8562
20.0%
2 5529
12.9%
3 4676
10.9%
0 4200
9.8%
4 3989
9.3%
5 3782
8.9%
6 3500
8.2%
7 2982
 
7.0%
8 2795
 
6.5%
9 2691
 
6.3%
Space Separator
ValueCountFrequency (%)
29944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9571
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131172
61.5%
Common 82223
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10857
 
8.3%
구 10371
 
7.9%
지 10052
 
7.7%
시 10032
 
7.6%
번 9994
 
7.6%
서 9563
 
7.3%
특 7977
 
6.1%
별 7977
 
6.1%
울 7977
 
6.1%
산 2787
 
2.1%
Other values (215) 43585
33.2%
Common
ValueCountFrequency (%)
29944
36.4%
- 9571
 
11.6%
1 8562
 
10.4%
2 5529
 
6.7%
3 4676
 
5.7%
0 4200
 
5.1%
4 3989
 
4.9%
5 3782
 
4.6%
6 3500
 
4.3%
7 2982
 
3.6%
Other values (4) 5488
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131172
61.5%
ASCII 82223
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29944
36.4%
- 9571
 
11.6%
1 8562
 
10.4%
2 5529
 
6.7%
3 4676
 
5.7%
0 4200
 
5.1%
4 3989
 
4.9%
5 3782
 
4.6%
6 3500
 
4.3%
7 2982
 
3.6%
Other values (4) 5488
 
6.7%
Hangul
ValueCountFrequency (%)
동 10857
 
8.3%
구 10371
 
7.9%
지 10052
 
7.7%
시 10032
 
7.6%
번 9994
 
7.6%
서 9563
 
7.3%
특 7977
 
6.1%
별 7977
 
6.1%
울 7977
 
6.1%
산 2787
 
2.1%
Other values (215) 43585
33.2%

도로명주소
Text

Distinct8687
Distinct (%)87.1%
Missing23
Missing (%)0.2%
Memory size156.2 KiB
2023-12-12T11:22:03.141895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length12.910093
Min length3

Characters and Unicode

Total characters128804
Distinct characters724
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7833 ?
Unique (%)78.5%

Sample

1st row절영로13번길 55-0
2nd row호암로26길 49-0
3rd row송파대로 567-0 주공아파트 507동
4th row시흥대로 571-0 부호빌딩
5th row사당로17길 8-0 대림아파트
ValueCountFrequency (%)
7-0 164
 
0.7%
10-0 154
 
0.6%
16-0 152
 
0.6%
6-0 142
 
0.6%
15-0 135
 
0.6%
5-0 134
 
0.5%
9-0 130
 
0.5%
17-0 130
 
0.5%
12-0 130
 
0.5%
8-0 128
 
0.5%
Other values (7804) 22996
94.3%
2023-12-12T11:22:03.773736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14443
 
11.2%
0 10969
 
8.5%
- 9886
 
7.7%
로 9579
 
7.4%
1 7042
 
5.5%
2 4897
 
3.8%
길 4824
 
3.7%
3 3763
 
2.9%
4 3045
 
2.4%
5 2843
 
2.2%
Other values (714) 57513
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61202
47.5%
Decimal Number 42035
32.6%
Space Separator 14443
 
11.2%
Dash Punctuation 9886
 
7.7%
Uppercase Letter 923
 
0.7%
Lowercase Letter 138
 
0.1%
Close Punctuation 87
 
0.1%
Open Punctuation 48
 
< 0.1%
Other Punctuation 32
 
< 0.1%
Letter Number 8
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9579
 
15.7%
길 4824
 
7.9%
대 2216
 
3.6%
빌 1588
 
2.6%
딩 1517
 
2.5%
동 1207
 
2.0%
번 771
 
1.3%
산 710
 
1.2%
서 658
 
1.1%
남 615
 
1.0%
Other values (645) 37517
61.3%
Uppercase Letter
ValueCountFrequency (%)
S 85
 
9.2%
T 79
 
8.6%
A 78
 
8.5%
E 65
 
7.0%
K 51
 
5.5%
L 47
 
5.1%
C 46
 
5.0%
N 44
 
4.8%
O 44
 
4.8%
I 44
 
4.8%
Other values (15) 340
36.8%
Lowercase Letter
ValueCountFrequency (%)
o 19
13.8%
e 18
13.0%
a 12
 
8.7%
n 11
 
8.0%
r 10
 
7.2%
u 9
 
6.5%
l 8
 
5.8%
i 7
 
5.1%
t 7
 
5.1%
s 6
 
4.3%
Other values (12) 31
22.5%
Decimal Number
ValueCountFrequency (%)
0 10969
26.1%
1 7042
16.8%
2 4897
11.6%
3 3763
 
9.0%
4 3045
 
7.2%
5 2843
 
6.8%
6 2674
 
6.4%
7 2484
 
5.9%
8 2281
 
5.4%
9 2037
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 12
37.5%
/ 11
34.4%
& 5
15.6%
, 4
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅰ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
14443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9886
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66533
51.7%
Hangul 61199
47.5%
Latin 1069
 
0.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9579
 
15.7%
길 4824
 
7.9%
대 2216
 
3.6%
빌 1588
 
2.6%
딩 1517
 
2.5%
동 1207
 
2.0%
번 771
 
1.3%
산 710
 
1.2%
서 658
 
1.1%
남 615
 
1.0%
Other values (642) 37514
61.3%
Latin
ValueCountFrequency (%)
S 85
 
8.0%
T 79
 
7.4%
A 78
 
7.3%
E 65
 
6.1%
K 51
 
4.8%
L 47
 
4.4%
C 46
 
4.3%
N 44
 
4.1%
O 44
 
4.1%
I 44
 
4.1%
Other values (39) 486
45.5%
Common
ValueCountFrequency (%)
14443
21.7%
0 10969
16.5%
- 9886
14.9%
1 7042
10.6%
2 4897
 
7.4%
3 3763
 
5.7%
4 3045
 
4.6%
5 2843
 
4.3%
6 2674
 
4.0%
7 2484
 
3.7%
Other values (10) 4487
 
6.7%
Han
ValueCountFrequency (%)
美 1
33.3%
愿 1
33.3%
禎 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67594
52.5%
Hangul 61199
47.5%
Number Forms 8
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14443
21.4%
0 10969
16.2%
- 9886
14.6%
1 7042
10.4%
2 4897
 
7.2%
3 3763
 
5.6%
4 3045
 
4.5%
5 2843
 
4.2%
6 2674
 
4.0%
7 2484
 
3.7%
Other values (57) 5548
 
8.2%
Hangul
ValueCountFrequency (%)
로 9579
 
15.7%
길 4824
 
7.9%
대 2216
 
3.6%
빌 1588
 
2.6%
딩 1517
 
2.5%
동 1207
 
2.0%
번 771
 
1.3%
산 710
 
1.2%
서 658
 
1.1%
남 615
 
1.0%
Other values (642) 37514
61.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅰ 2
 
25.0%
CJK
ValueCountFrequency (%)
美 1
33.3%
愿 1
33.3%
禎 1
33.3%

영업장면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct7343
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.22714
Minimum0
Maximum184810
Zeros581
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:22:03.937004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1109.635
median159.005
Q3280
95-th percentile737.1905
Maximum184810
Range184810
Interquartile range (IQR)170.365

Descriptive statistics

Standard deviation2078.5509
Coefficient of variation (CV)7.1865694
Kurtosis6402.0975
Mean289.22714
Median Absolute Deviation (MAD)66.415
Skewness75.551236
Sum2892271.4
Variance4320374
MonotonicityNot monotonic
2023-12-12T11:22:04.093498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 581
 
5.8%
99.0 31
 
0.3%
120.0 31
 
0.3%
132.0 31
 
0.3%
140.0 18
 
0.2%
100.0 18
 
0.2%
90.0 15
 
0.1%
98.0 14
 
0.1%
135.0 14
 
0.1%
115.0 13
 
0.1%
Other values (7333) 9234
92.3%
ValueCountFrequency (%)
0.0 581
5.8%
6.6 2
 
< 0.1%
7.0 1
 
< 0.1%
9.91 1
 
< 0.1%
15.0 1
 
< 0.1%
17.0 1
 
< 0.1%
17.28 1
 
< 0.1%
17.54 1
 
< 0.1%
19.25 1
 
< 0.1%
19.4 1
 
< 0.1%
ValueCountFrequency (%)
184810.0 1
< 0.1%
76574.42 1
< 0.1%
34317.0 1
< 0.1%
21271.9 1
< 0.1%
12118.56 1
< 0.1%
9578.39 1
< 0.1%
8978.57 1
< 0.1%
7372.8 1
< 0.1%
7307.31 1
< 0.1%
7165.79 1
< 0.1%

업종
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
4236 
노래연습장업
1234 
고시원업
903 
인터넷컴퓨터게임시설제공업(PC방)
894 
유흥주점
617 
Other values (17)
2116 

Length

Max length18
Median length5
Mean length6.4383
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row유흥주점
2nd row노래연습장업
3rd row일반음식점
4th row노래연습장업
5th row가상체험체육시설(스크린골프연습장)

Common Values

ValueCountFrequency (%)
일반음식점 4236
42.4%
노래연습장업 1234
 
12.3%
고시원업 903
 
9.0%
인터넷컴퓨터게임시설제공업(PC방) 894
 
8.9%
유흥주점 617
 
6.2%
휴게음식점 542
 
5.4%
단란주점 520
 
5.2%
가상체험체육시설(스크린골프연습장) 282
 
2.8%
게임제공업 266
 
2.7%
학원 180
 
1.8%
Other values (12) 326
 
3.3%

Length

2023-12-12T11:22:04.284125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 4236
42.4%
노래연습장업 1234
 
12.3%
고시원업 903
 
9.0%
인터넷컴퓨터게임시설제공업(pc방 894
 
8.9%
유흥주점 617
 
6.2%
휴게음식점 542
 
5.4%
단란주점 520
 
5.2%
가상체험체육시설(스크린골프연습장 282
 
2.8%
게임제공업 266
 
2.7%
학원 180
 
1.8%
Other values (12) 326
 
3.3%

영업상태
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
5434 
폐업
4382 
휴업
 
184

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 5434
54.3%
폐업 4382
43.8%
휴업 184
 
1.8%

Length

2023-12-12T11:22:04.440304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:04.559528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 5434
54.3%
폐업 4382
43.8%
휴업 184
 
1.8%

Interactions

2023-12-12T11:21:59.507997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:22:04.638511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적업종영업상태
영업장면적1.0000.1580.054
업종0.1581.0000.317
영업상태0.0540.3171.000
2023-12-12T11:22:04.745921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태업종
영업상태1.0000.174
업종0.1741.000
2023-12-12T11:22:04.839371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적업종영업상태
영업장면적1.0000.0850.051
업종0.0851.0000.174
영업상태0.0510.1741.000

Missing values

2023-12-12T11:21:59.685233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:21:59.852384image/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.
2023-12-12T11:21:59.978685image/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

일련번호상호지번주소도로명주소영업장면적업종영업상태
76610MU262009107444황진이부산광역시 영도구 봉래동3가 2-2번지절영로13번길 55-051.4유흥주점정상
54322MU112013757016N노래방서울특별시 관악구 신림동 1515-4번지호암로26길 49-0147.62노래연습장업폐업
19666MU112013721988밥이랑술이랑서울특별시 송파구 잠실동 27-0번지송파대로 567-0 주공아파트 507동108.88일반음식점정상
49430MU112017793026슈퍼스타코인노래연습장서울특별시 구로구 구로동 1125-1번지시흥대로 571-0 부호빌딩238.81노래연습장업정상
39004MU112013751266이수스크린골프서울특별시 동작구 사당동 169-8번지사당로17길 8-0 대림아파트225.0가상체험체육시설(스크린골프연습장)정상
72116MU112013752225김천재의육회반한연어서울특별시 강남구 논현동 181-8번지강남대로118길 47-0145.95일반음식점정상
45861MU112013712777두리두리(구,솔솔노래방)서울특별시 노원구 공릉동 419-5번지공릉로 186-0 새벽교회105.0노래연습장업정상
27001MU112013702003드림힐 골프존2서울특별시 성동구 성수동2가 320-3번지성수이로7가길 16-0 드림힐1188.49가상체험체육시설(스크린골프연습장)정상
52944MU112013744897Z PC방서울특별시 관악구 신림동 408-2번지신림로 211-0269.32인터넷컴퓨터게임시설제공업(PC방)폐업
67697MU112013729903피아노선율(구.PINOS)서울특별시 강남구 신사동 639-10번지언주로174길 23-0148.35일반음식점정상
일련번호상호지번주소도로명주소영업장면적업종영업상태
30342MU112013740392영농법인 호종 주식회사서울특별시 서초구 서초동 1308-15번지강남대로65길 10-0451.82일반음식점폐업
54205MU112013714919고스트캐슬PC방서울특별시 관악구 신림동 1525-0번지호암로 602-0 도원빌딩159.36인터넷컴퓨터게임시설제공업(PC방)폐업
17605MU112013742408STAY65서울특별시 양천구 신정동 885-19번지신정중앙로 65-0362.98고시원업정상
49867MU112019798041블루나인PC방서울특별시 구로구 개봉동 66-5번지고척로 108-0 성원빌딩136.0인터넷컴퓨터게임시설제공업(PC방)폐업
15674MU112017793093호랑이와곶감서울특별시 영등포구 양평동4가 27-6번지선유동2로 73-00.0일반음식점폐업
80861MU262009103642터널나이트클럽부산광역시 사하구 괴정동 950-2번지다대로 68-0 메리트나이트클럽2091.34유흥주점폐업
4446MU112014764358플라시보서울특별시 중구 순화동 151번지칠패로 27-0 순화동더샵81.6일반음식점폐업
21441MU112013717843골드스타서울특별시 송파구 석촌동 211-9번지삼학사로12길 13-0132.23노래연습장업정상
1965MU112013723247정다방서울특별시 중랑구 망우동 340-19번지망우로 445-073.33일반음식점정상
71365MU112013749761더서울특별시 강남구 논현동 87-4번지학동로29길 5-0138.29단란주점폐업