Overview

Dataset statistics

Number of variables45
Number of observations3485
Missing cells84942
Missing cells (%)54.2%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.3 MiB
Average record size in memory390.0 B

Variable types

Categorical13
Text6
DateTime2
Unsupported17
Numeric7

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (84.8%)Imbalance
영업상태명 is highly imbalanced (67.5%)Imbalance
문화체육업종명 is highly imbalanced (99.6%)Imbalance
문화사업자구분명 is highly imbalanced (99.6%)Imbalance
주변환경명 is highly imbalanced (98.2%)Imbalance
지하층수 is highly imbalanced (86.2%)Imbalance
건물용도명 is highly imbalanced (63.0%)Imbalance
조명시설조도량 is highly imbalanced (74.8%)Imbalance
노래방실수 is highly imbalanced (74.8%)Imbalance
청소년실수 is highly imbalanced (74.8%)Imbalance
총게임기수 is highly imbalanced (74.8%)Imbalance
지역구분명 is highly imbalanced (59.7%)Imbalance
인허가취소일자 has 3485 (100.0%) missing valuesMissing
폐업일자 has 3075 (88.2%) missing valuesMissing
소재지시설전화번호 has 3381 (97.0%) missing valuesMissing
소재지면적정보 has 3485 (100.0%) missing valuesMissing
도로명우편번호 has 3311 (95.0%) missing valuesMissing
소재지도로명주소 has 138 (4.0%) missing valuesMissing
소재지우편번호 has 154 (4.4%) missing valuesMissing
WGS84위도 has 282 (8.1%) missing valuesMissing
WGS84경도 has 282 (8.1%) missing valuesMissing
업태구분명정보 has 3485 (100.0%) missing valuesMissing
X좌표값 has 3312 (95.0%) missing valuesMissing
Y좌표값 has 3312 (95.0%) missing valuesMissing
총층수 has 3328 (95.5%) missing valuesMissing
시설면적(㎡) has 1792 (51.4%) missing valuesMissing
지상층수 has 3328 (95.5%) missing valuesMissing
비상계단여부 has 3485 (100.0%) missing valuesMissing
비상구여부 has 3485 (100.0%) missing valuesMissing
자동환기여부 has 3485 (100.0%) missing valuesMissing
청소년실여부 has 3485 (100.0%) missing valuesMissing
특수조명여부 has 3485 (100.0%) missing valuesMissing
방음시설여부 has 3485 (100.0%) missing valuesMissing
비디오재생기명 has 3485 (100.0%) missing valuesMissing
조명시설유무 has 3485 (100.0%) missing valuesMissing
음향시설여부 has 3485 (100.0%) missing valuesMissing
편의시설여부 has 3485 (100.0%) missing valuesMissing
소방시설여부 has 3485 (100.0%) missing valuesMissing
기존게임업외업종명 has 3485 (100.0%) missing valuesMissing
제공게임물명 has 3485 (100.0%) missing valuesMissing
공연장형태구분명 has 3485 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 136 (3.9%) zerosZeros
시설면적(㎡) has 110 (3.2%) zerosZeros
지상층수 has 133 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-10 22:51:40.139493
Analysis finished2023-12-10 22:51:41.582203
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
파주시
633 
고양시
605 
수원시
413 
성남시
218 
안양시
207 
Other values (26)
1409 

Length

Max length4
Median length3
Mean length3.0301291
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 633
18.2%
고양시 605
17.4%
수원시 413
11.9%
성남시 218
 
6.3%
안양시 207
 
5.9%
안산시 155
 
4.4%
부천시 139
 
4.0%
화성시 123
 
3.5%
평택시 117
 
3.4%
김포시 95
 
2.7%
Other values (21) 780
22.4%

Length

2023-12-11T07:51:41.662208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 633
18.2%
고양시 605
17.4%
수원시 413
11.9%
성남시 218
 
6.3%
안양시 207
 
5.9%
안산시 155
 
4.4%
부천시 139
 
4.0%
화성시 123
 
3.5%
평택시 117
 
3.4%
김포시 95
 
2.7%
Other values (21) 780
22.4%

사업장명
Text

Distinct3243
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
2023-12-11T07:51:41.978222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length6.2393113
Min length2

Characters and Unicode

Total characters21744
Distinct characters594
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3041 ?
Unique (%)87.3%

Sample

1st row이레기획
2nd row산희
3rd row인팩트 인쇄기획
4th row드림기획
5th row도서출판가나
ValueCountFrequency (%)
주식회사 226
 
5.5%
디자인 41
 
1.0%
주 20
 
0.5%
프린팅 18
 
0.4%
기획 13
 
0.3%
인쇄소 12
 
0.3%
도서출판 10
 
0.2%
인쇄 9
 
0.2%
인쇄사 9
 
0.2%
사단법인 6
 
0.1%
Other values (3342) 3711
91.1%
2023-12-11T07:51:42.500225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 1184
 
5.4%
주 982
 
4.5%
쇄 855
 
3.9%
사 834
 
3.8%
) 733
 
3.4%
( 723
 
3.3%
594
 
2.7%
이 423
 
1.9%
기 401
 
1.8%
문 364
 
1.7%
Other values (584) 14651
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18962
87.2%
Close Punctuation 733
 
3.4%
Open Punctuation 723
 
3.3%
Space Separator 594
 
2.7%
Uppercase Letter 422
 
1.9%
Lowercase Letter 175
 
0.8%
Other Punctuation 72
 
0.3%
Decimal Number 53
 
0.2%
Dash Punctuation 7
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1184
 
6.2%
주 982
 
5.2%
쇄 855
 
4.5%
사 834
 
4.4%
이 423
 
2.2%
기 401
 
2.1%
문 364
 
1.9%
린 338
 
1.8%
스 337
 
1.8%
프 336
 
1.8%
Other values (514) 12908
68.1%
Uppercase Letter
ValueCountFrequency (%)
P 83
19.7%
S 40
 
9.5%
C 36
 
8.5%
N 29
 
6.9%
M 23
 
5.5%
D 22
 
5.2%
A 19
 
4.5%
O 18
 
4.3%
K 17
 
4.0%
T 17
 
4.0%
Other values (15) 118
28.0%
Lowercase Letter
ValueCountFrequency (%)
n 28
16.0%
i 26
14.9%
e 16
9.1%
s 14
 
8.0%
o 12
 
6.9%
g 11
 
6.3%
t 10
 
5.7%
a 8
 
4.6%
c 7
 
4.0%
d 7
 
4.0%
Other values (12) 36
20.6%
Other Punctuation
ValueCountFrequency (%)
& 44
61.1%
. 14
 
19.4%
· 4
 
5.6%
＆ 4
 
5.6%
, 2
 
2.8%
: 1
 
1.4%
* 1
 
1.4%
' 1
 
1.4%
′ 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 14
26.4%
1 13
24.5%
5 8
15.1%
3 5
 
9.4%
0 4
 
7.5%
4 4
 
7.5%
6 2
 
3.8%
9 2
 
3.8%
7 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 733
100.0%
Open Punctuation
ValueCountFrequency (%)
( 723
100.0%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18964
87.2%
Common 2182
 
10.0%
Latin 597
 
2.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1184
 
6.2%
주 982
 
5.2%
쇄 855
 
4.5%
사 834
 
4.4%
이 423
 
2.2%
기 401
 
2.1%
문 364
 
1.9%
린 338
 
1.8%
스 337
 
1.8%
프 336
 
1.8%
Other values (514) 12910
68.1%
Latin
ValueCountFrequency (%)
P 83
 
13.9%
S 40
 
6.7%
C 36
 
6.0%
N 29
 
4.9%
n 28
 
4.7%
i 26
 
4.4%
M 23
 
3.9%
D 22
 
3.7%
A 19
 
3.2%
O 18
 
3.0%
Other values (37) 273
45.7%
Common
ValueCountFrequency (%)
) 733
33.6%
( 723
33.1%
594
27.2%
& 44
 
2.0%
2 14
 
0.6%
. 14
 
0.6%
1 13
 
0.6%
5 8
 
0.4%
- 7
 
0.3%
3 5
 
0.2%
Other values (12) 27
 
1.2%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18961
87.2%
ASCII 2770
 
12.7%
None 11
 
0.1%
CJK 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 1184
 
6.2%
주 982
 
5.2%
쇄 855
 
4.5%
사 834
 
4.4%
이 423
 
2.2%
기 401
 
2.1%
문 364
 
1.9%
린 338
 
1.8%
스 337
 
1.8%
프 336
 
1.8%
Other values (513) 12907
68.1%
ASCII
ValueCountFrequency (%)
) 733
26.5%
( 723
26.1%
594
21.4%
P 83
 
3.0%
& 44
 
1.6%
S 40
 
1.4%
C 36
 
1.3%
N 29
 
1.0%
n 28
 
1.0%
i 26
 
0.9%
Other values (56) 434
15.7%
None
ValueCountFrequency (%)
· 4
36.4%
＆ 4
36.4%
㈜ 3
27.3%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Punctuation
ValueCountFrequency (%)
′ 1
100.0%

인허가일자
Date

Distinct2515
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
Minimum1957-01-12 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:51:42.667047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:42.806810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3299 
13
 
152
15
 
13
3
 
13
35
 
8

Length

Max length4
Median length4
Mean length3.8895265
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3299
94.7%
13 152
 
4.4%
15 13
 
0.4%
3 13
 
0.4%
35 8
 
0.2%

Length

2023-12-11T07:51:43.193269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:43.295191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3299
94.7%
13 152
 
4.4%
15 13
 
0.4%
3 13
 
0.4%
35 8
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
운영중
2919 
폐업 등
380 
영업중
 
152
전출
 
13
폐업
 
13

Length

Max length4
Median length3
Mean length3.1038737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2919
83.8%
폐업 등 380
 
10.9%
영업중 152
 
4.4%
전출 13
 
0.4%
폐업 13
 
0.4%
직권말소 8
 
0.2%

Length

2023-12-11T07:51:43.419494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:43.540393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2919
75.5%
폐업 393
 
10.2%
등 380
 
9.8%
영업중 152
 
3.9%
전출 13
 
0.3%
직권말소 8
 
0.2%

폐업일자
Date

MISSING 

Distinct354
Distinct (%)86.3%
Missing3075
Missing (%)88.2%
Memory size27.4 KiB
Minimum1989-12-31 00:00:00
Maximum2023-11-13 00:00:00
2023-12-11T07:51:43.674919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:43.828159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct103
Distinct (%)99.0%
Missing3381
Missing (%)97.0%
Memory size27.4 KiB
2023-12-11T07:51:44.083951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.384615
Min length8

Characters and Unicode

Total characters1184
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)98.1%

Sample

1st row02-395-1382
2nd row0319761695
3rd row02-498-7152
4th row031-969-9915
5th row02-566-6201
ValueCountFrequency (%)
031-452-6634 2
 
1.9%
031-945-9715 1
 
1.0%
02-2268-8600 1
 
1.0%
031-942-9616 1
 
1.0%
031-949-6305 1
 
1.0%
02-498-0272 1
 
1.0%
031-455-4705 1
 
1.0%
031-262-0942 1
 
1.0%
031-333-0954 1
 
1.0%
031-374-8052 1
 
1.0%
Other values (93) 93
89.4%
2023-12-11T07:51:44.483399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 183
15.5%
0 179
15.1%
3 130
11.0%
1 123
10.4%
2 112
9.5%
4 85
7.2%
6 83
7.0%
5 82
6.9%
7 82
6.9%
9 68
 
5.7%
Other values (2) 57
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
84.5%
Dash Punctuation 183
 
15.5%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 179
17.9%
3 130
13.0%
1 123
12.3%
2 112
11.2%
4 85
8.5%
6 83
8.3%
5 82
8.2%
7 82
8.2%
9 68
 
6.8%
8 56
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 183
15.5%
0 179
15.1%
3 130
11.0%
1 123
10.4%
2 112
9.5%
4 85
7.2%
6 83
7.0%
5 82
6.9%
7 82
6.9%
9 68
 
5.7%
Other values (2) 57
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 183
15.5%
0 179
15.1%
3 130
11.0%
1 123
10.4%
2 112
9.5%
4 85
7.2%
6 83
7.0%
5 82
6.9%
7 82
6.9%
9 68
 
5.7%
Other values (2) 57
 
4.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

도로명우편번호
Text

MISSING 

Distinct133
Distinct (%)76.4%
Missing3311
Missing (%)95.0%
Memory size27.4 KiB
2023-12-11T07:51:44.917007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.137931
Min length5

Characters and Unicode

Total characters894
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

Unique112 ?
Unique (%)64.4%

Sample

1st row10594
2nd row10575
3rd row10432
4th row10355
5th row10270
ValueCountFrequency (%)
10863 7
 
4.0%
10880 7
 
4.0%
10881 7
 
4.0%
10594 4
 
2.3%
18469 3
 
1.7%
14786 3
 
1.7%
10431 3
 
1.7%
10864 2
 
1.1%
11901 2
 
1.1%
14487 2
 
1.1%
Other values (123) 134
77.0%
2023-12-11T07:51:45.539437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 218
24.4%
0 124
13.9%
8 116
13.0%
4 102
11.4%
3 68
 
7.6%
6 62
 
6.9%
5 62
 
6.9%
2 49
 
5.5%
9 47
 
5.3%
7 34
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
98.7%
Dash Punctuation 12
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 218
24.7%
0 124
14.1%
8 116
13.2%
4 102
11.6%
3 68
 
7.7%
6 62
 
7.0%
5 62
 
7.0%
2 49
 
5.6%
9 47
 
5.3%
7 34
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 894
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 218
24.4%
0 124
13.9%
8 116
13.0%
4 102
11.4%
3 68
 
7.6%
6 62
 
6.9%
5 62
 
6.9%
2 49
 
5.5%
9 47
 
5.3%
7 34
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 218
24.4%
0 124
13.9%
8 116
13.0%
4 102
11.4%
3 68
 
7.6%
6 62
 
6.9%
5 62
 
6.9%
2 49
 
5.5%
9 47
 
5.3%
7 34
 
3.8%

소재지도로명주소
Text

MISSING 

Distinct2463
Distinct (%)73.6%
Missing138
Missing (%)4.0%
Memory size27.4 KiB
2023-12-11T07:51:45.867222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length28.847625
Min length15

Characters and Unicode

Total characters96553
Distinct characters502
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2068 ?
Unique (%)61.8%

Sample

1st row경기도 가평군 하면 조종새싹로 **
2nd row경기도 가평군 가평읍 석봉로 ***, *층
3rd row경기도 가평군 가평읍 가화로 ***-*
4th row경기도 가평군 가평읍 연인*길 **-*
5th row경기도 가평군 가평읍 보납로 **-*
ValueCountFrequency (%)
3372
 
16.7%
경기도 3347
 
16.6%
파주시 611
 
3.0%
고양시 594
 
2.9%
호 565
 
2.8%
일산동구 451
 
2.2%
수원시 385
 
1.9%
장항동 326
 
1.6%
층 317
 
1.6%
성남시 213
 
1.1%
Other values (2355) 9981
49.5%
2023-12-11T07:51:46.305815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17944
18.6%
* 15208
15.8%
동 3871
 
4.0%
시 3472
 
3.6%
도 3467
 
3.6%
경 3429
 
3.6%
기 3422
 
3.5%
( 2872
 
3.0%
) 2872
 
3.0%
로 2626
 
2.7%
Other values (492) 37370
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54695
56.6%
Space Separator 17944
 
18.6%
Other Punctuation 16894
 
17.5%
Open Punctuation 2872
 
3.0%
Close Punctuation 2872
 
3.0%
Dash Punctuation 1006
 
1.0%
Uppercase Letter 239
 
0.2%
Lowercase Letter 22
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3871
 
7.1%
시 3472
 
6.3%
도 3467
 
6.3%
경 3429
 
6.3%
기 3422
 
6.3%
로 2626
 
4.8%
길 1752
 
3.2%
구 1696
 
3.1%
양 1328
 
2.4%
산 1225
 
2.2%
Other values (450) 28407
51.9%
Uppercase Letter
ValueCountFrequency (%)
B 79
33.1%
A 37
15.5%
I 18
 
7.5%
S 16
 
6.7%
K 16
 
6.7%
C 15
 
6.3%
E 13
 
5.4%
D 11
 
4.6%
T 10
 
4.2%
P 4
 
1.7%
Other values (10) 20
 
8.4%
Lowercase Letter
ValueCountFrequency (%)
n 6
27.3%
e 3
13.6%
b 2
 
9.1%
c 2
 
9.1%
l 2
 
9.1%
r 2
 
9.1%
t 2
 
9.1%
y 1
 
4.5%
o 1
 
4.5%
w 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 15208
90.0%
, 1674
 
9.9%
. 6
 
< 0.1%
/ 5
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
∥ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
17944
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1006
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54693
56.6%
Common 41597
43.1%
Latin 261
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3871
 
7.1%
시 3472
 
6.3%
도 3467
 
6.3%
경 3429
 
6.3%
기 3422
 
6.3%
로 2626
 
4.8%
길 1752
 
3.2%
구 1696
 
3.1%
양 1328
 
2.4%
산 1225
 
2.2%
Other values (449) 28405
51.9%
Latin
ValueCountFrequency (%)
B 79
30.3%
A 37
14.2%
I 18
 
6.9%
S 16
 
6.1%
K 16
 
6.1%
C 15
 
5.7%
E 13
 
5.0%
D 11
 
4.2%
T 10
 
3.8%
n 6
 
2.3%
Other values (20) 40
15.3%
Common
ValueCountFrequency (%)
17944
43.1%
* 15208
36.6%
( 2872
 
6.9%
) 2872
 
6.9%
, 1674
 
4.0%
- 1006
 
2.4%
~ 7
 
< 0.1%
. 6
 
< 0.1%
/ 5
 
< 0.1%
@ 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54693
56.6%
ASCII 41856
43.4%
CJK 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17944
42.9%
* 15208
36.3%
( 2872
 
6.9%
) 2872
 
6.9%
, 1674
 
4.0%
- 1006
 
2.4%
B 79
 
0.2%
A 37
 
0.1%
I 18
 
< 0.1%
S 16
 
< 0.1%
Other values (30) 130
 
0.3%
Hangul
ValueCountFrequency (%)
동 3871
 
7.1%
시 3472
 
6.3%
도 3467
 
6.3%
경 3429
 
6.3%
기 3422
 
6.3%
로 2626
 
4.8%
길 1752
 
3.2%
구 1696
 
3.1%
양 1328
 
2.4%
산 1225
 
2.2%
Other values (449) 28405
51.9%
CJK
ValueCountFrequency (%)
內 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

Distinct1905
Distinct (%)54.7%
Missing2
Missing (%)0.1%
Memory size27.4 KiB
2023-12-11T07:51:46.608640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length24.223658
Min length11

Characters and Unicode

Total characters84371
Distinct characters432
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1454 ?
Unique (%)41.7%

Sample

1st row경기도 가평군 하면 현리 ***-*번지
2nd row경기도 가평군 가평읍 읍내리 ***-**번지
3rd row경기도 가평군 가평읍 읍내리 ***-*번지
4th row경기도 가평군 가평읍 읍내리 ***-**번지
5th row경기도 가평군 청평면 청평리 ***-**번지
ValueCountFrequency (%)
경기도 3483
19.3%
번지 3252
18.1%
파주시 633
 
3.5%
고양시 605
 
3.4%
호 473
 
2.6%
일산동구 456
 
2.5%
수원시 412
 
2.3%
장항동 377
 
2.1%
층 272
 
1.5%
성남시 218
 
1.2%
Other values (1261) 7823
43.5%
2023-12-11T07:51:47.070159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 16170
19.2%
14694
17.4%
동 3873
 
4.6%
도 3577
 
4.2%
시 3539
 
4.2%
기 3525
 
4.2%
지 3499
 
4.1%
경 3497
 
4.1%
번 3254
 
3.9%
- 2812
 
3.3%
Other values (422) 25931
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50347
59.7%
Other Punctuation 16236
 
19.2%
Space Separator 14694
 
17.4%
Dash Punctuation 2812
 
3.3%
Uppercase Letter 200
 
0.2%
Open Punctuation 28
 
< 0.1%
Close Punctuation 27
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3873
 
7.7%
도 3577
 
7.1%
시 3539
 
7.0%
기 3525
 
7.0%
지 3499
 
6.9%
경 3497
 
6.9%
번 3254
 
6.5%
구 1727
 
3.4%
양 1306
 
2.6%
산 1036
 
2.1%
Other values (378) 21514
42.7%
Uppercase Letter
ValueCountFrequency (%)
B 71
35.5%
A 31
15.5%
E 13
 
6.5%
K 13
 
6.5%
C 12
 
6.0%
S 11
 
5.5%
D 11
 
5.5%
I 10
 
5.0%
T 8
 
4.0%
G 4
 
2.0%
Other values (10) 16
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
20.0%
e 3
15.0%
c 2
10.0%
l 2
10.0%
r 2
10.0%
t 2
10.0%
b 2
10.0%
y 1
 
5.0%
o 1
 
5.0%
w 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 16170
99.6%
, 55
 
0.3%
/ 5
 
< 0.1%
. 4
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 27
96.4%
[ 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
∥ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
14694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2812
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50345
59.7%
Common 33804
40.1%
Latin 220
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3873
 
7.7%
도 3577
 
7.1%
시 3539
 
7.0%
기 3525
 
7.0%
지 3499
 
7.0%
경 3497
 
6.9%
번 3254
 
6.5%
구 1727
 
3.4%
양 1306
 
2.6%
산 1036
 
2.1%
Other values (377) 21512
42.7%
Latin
ValueCountFrequency (%)
B 71
32.3%
A 31
14.1%
E 13
 
5.9%
K 13
 
5.9%
C 12
 
5.5%
S 11
 
5.0%
D 11
 
5.0%
I 10
 
4.5%
T 8
 
3.6%
n 4
 
1.8%
Other values (20) 36
16.4%
Common
ValueCountFrequency (%)
* 16170
47.8%
14694
43.5%
- 2812
 
8.3%
, 55
 
0.2%
) 27
 
0.1%
( 27
 
0.1%
/ 5
 
< 0.1%
~ 4
 
< 0.1%
. 4
 
< 0.1%
ⓝ 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50345
59.7%
ASCII 34021
40.3%
Enclosed Alphanum 2
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 16170
47.5%
14694
43.2%
- 2812
 
8.3%
B 71
 
0.2%
, 55
 
0.2%
A 31
 
0.1%
) 27
 
0.1%
( 27
 
0.1%
E 13
 
< 0.1%
K 13
 
< 0.1%
Other values (32) 108
 
0.3%
Hangul
ValueCountFrequency (%)
동 3873
 
7.7%
도 3577
 
7.1%
시 3539
 
7.0%
기 3525
 
7.0%
지 3499
 
7.0%
경 3497
 
6.9%
번 3254
 
6.5%
구 1727
 
3.4%
양 1306
 
2.6%
산 1036
 
2.1%
Other values (377) 21512
42.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 2
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지우편번호
Text

MISSING 

Distinct1235
Distinct (%)37.1%
Missing154
Missing (%)4.4%
Memory size27.4 KiB
2023-12-11T07:51:47.484676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8120684
Min length5

Characters and Unicode

Total characters19360
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

Unique726 ?
Unique (%)21.8%

Sample

1st row477831
2nd row12418
3rd row12412
4th row12418
5th row477813
ValueCountFrequency (%)
410834 210
 
6.3%
413832 93
 
2.8%
442130 57
 
1.7%
410835 48
 
1.4%
413821 47
 
1.4%
10881 42
 
1.3%
413120 40
 
1.2%
10432 37
 
1.1%
413170 37
 
1.1%
411420 27
 
0.8%
Other values (1225) 2693
80.8%
2023-12-11T07:51:48.101169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 4274
22.1%
1 3010
15.5%
8 2525
13.0%
0 2424
12.5%
3 2060
10.6%
2 1700
 
8.8%
5 1079
 
5.6%
6 954
 
4.9%
7 750
 
3.9%
9 560
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19336
99.9%
Dash Punctuation 24
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 4274
22.1%
1 3010
15.6%
8 2525
13.1%
0 2424
12.5%
3 2060
10.7%
2 1700
 
8.8%
5 1079
 
5.6%
6 954
 
4.9%
7 750
 
3.9%
9 560
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 4274
22.1%
1 3010
15.5%
8 2525
13.0%
0 2424
12.5%
3 2060
10.6%
2 1700
 
8.8%
5 1079
 
5.6%
6 954
 
4.9%
7 750
 
3.9%
9 560
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 4274
22.1%
1 3010
15.5%
8 2525
13.0%
0 2424
12.5%
3 2060
10.6%
2 1700
 
8.8%
5 1079
 
5.6%
6 954
 
4.9%
7 750
 
3.9%
9 560
 
2.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct2311
Distinct (%)72.2%
Missing282
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean37.492131
Minimum36.941756
Maximum38.097179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:48.274778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.941756
5-th percentile37.130285
Q137.307416
median37.481749
Q337.695638
95-th percentile37.79131
Maximum38.097179
Range1.1554234
Interquartile range (IQR)0.38822237

Descriptive statistics

Standard deviation0.22134778
Coefficient of variation (CV)0.0059038464
Kurtosis-0.82386716
Mean37.492131
Median Absolute Deviation (MAD)0.18710531
Skewness-0.23302771
Sum120087.29
Variance0.04899484
MonotonicityNot monotonic
2023-12-11T07:51:48.421295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2429220903 17
 
0.5%
37.6490702916 14
 
0.4%
37.7054891008 11
 
0.3%
37.6439507253 11
 
0.3%
37.7311006946 10
 
0.3%
37.3267540033 10
 
0.3%
37.7536532402 10
 
0.3%
37.6411925161 10
 
0.3%
37.639166468 10
 
0.3%
37.6689704541 9
 
0.3%
Other values (2301) 3091
88.7%
(Missing) 282
 
8.1%
ValueCountFrequency (%)
36.9417555386 1
< 0.1%
36.9588141013 1
< 0.1%
36.9710849938 2
0.1%
36.9755690434 1
< 0.1%
36.9766600614 1
< 0.1%
36.9806819927 1
< 0.1%
36.9863096041 1
< 0.1%
36.9871129104 1
< 0.1%
36.98751566 1
< 0.1%
36.9875235477 2
0.1%
ValueCountFrequency (%)
38.0971789661 1
< 0.1%
38.0945815864 1
< 0.1%
38.0313624895 1
< 0.1%
38.0293479198 1
< 0.1%
38.0291556424 1
< 0.1%
38.0285003921 1
< 0.1%
38.0281217876 1
< 0.1%
38.0279298033 1
< 0.1%
38.0266453378 1
< 0.1%
38.0218414869 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct2311
Distinct (%)72.2%
Missing282
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean126.92866
Minimum126.55587
Maximum127.70656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:48.591413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55587
5-th percentile126.68767
Q1126.77205
median126.89896
Q3127.05032
95-th percentile127.2724
Maximum127.70656
Range1.1506918
Interquartile range (IQR)0.27827229

Descriptive statistics

Standard deviation0.20066743
Coefficient of variation (CV)0.0015809466
Kurtosis0.86492886
Mean126.92866
Median Absolute Deviation (MAD)0.13208259
Skewness0.94271128
Sum406552.5
Variance0.040267419
MonotonicityNot monotonic
2023-12-11T07:51:48.785213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9773518137 17
 
0.5%
126.9019008596 14
 
0.4%
126.6846557558 11
 
0.3%
126.7632911426 11
 
0.3%
126.7854883348 10
 
0.3%
126.7863552373 10
 
0.3%
126.743871624 10
 
0.3%
126.7719780373 10
 
0.3%
126.7737546286 10
 
0.3%
126.698185794 9
 
0.3%
Other values (2301) 3091
88.7%
(Missing) 282
 
8.1%
ValueCountFrequency (%)
126.55587178 1
< 0.1%
126.5766726625 2
0.1%
126.5803975217 1
< 0.1%
126.5897618673 1
< 0.1%
126.5986993879 1
< 0.1%
126.599255262 1
< 0.1%
126.5996776937 1
< 0.1%
126.6011461891 1
< 0.1%
126.6022863182 1
< 0.1%
126.6122350449 1
< 0.1%
ValueCountFrequency (%)
127.7065635767 1
 
< 0.1%
127.6806468826 1
 
< 0.1%
127.6621446493 1
 
< 0.1%
127.6465321657 1
 
< 0.1%
127.6452177266 1
 
< 0.1%
127.6447472421 1
 
< 0.1%
127.642875651 3
0.1%
127.6410282275 1
 
< 0.1%
127.6381504115 1
 
< 0.1%
127.6379585992 1
 
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)94.8%
Missing3312
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean191640.01
Minimum166256.32
Maximum254087.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:48.937893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166256.32
5-th percentile172411.31
Q1178745.39
median188899.71
Q3203544.51
95-th percentile217570.65
Maximum254087.72
Range87831.394
Interquartile range (IQR)24799.121

Descriptive statistics

Standard deviation16138.064
Coefficient of variation (CV)0.084210304
Kurtosis0.35174908
Mean191640.01
Median Absolute Deviation (MAD)12970.297
Skewness0.77500253
Sum33153722
Variance2.604371 × 108
MonotonicityNot monotonic
2023-12-11T07:51:49.099005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191287.508236468 4
 
0.1%
203544.51063087 2
 
0.1%
184361.06497231 2
 
0.1%
177226.070248877 2
 
0.1%
188899.711468479 2
 
0.1%
216011.166107839 2
 
0.1%
205478.789423906 2
 
0.1%
180069.029242063 1
 
< 0.1%
199121.920450955 1
 
< 0.1%
206019.175548226 1
 
< 0.1%
Other values (154) 154
 
4.4%
(Missing) 3312
95.0%
ValueCountFrequency (%)
166256.323884613 1
< 0.1%
171858.37066163 1
< 0.1%
171905.169686398 1
< 0.1%
172060.790207415 1
< 0.1%
172095.207977461 1
< 0.1%
172114.654024073 1
< 0.1%
172258.223790944 1
< 0.1%
172364.708756412 1
< 0.1%
172383.495029677 1
< 0.1%
172429.85141916 1
< 0.1%
ValueCountFrequency (%)
254087.717826155 1
< 0.1%
240934.577067954 1
< 0.1%
230215.320840903 1
< 0.1%
222064.176204411 1
< 0.1%
221935.422249762 1
< 0.1%
221714.940000357 1
< 0.1%
220539.600579583 1
< 0.1%
218656.381461661 1
< 0.1%
217691.157838617 1
< 0.1%
217490.313689948 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)94.8%
Missing3312
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean446106.6
Minimum386746.57
Maximum500908.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:49.246989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386746.57
5-th percentile412276.56
Q1427827.34
median444399.63
Q3467644.43
95-th percentile478409.5
Maximum500908.28
Range114161.71
Interquartile range (IQR)39817.086

Descriptive statistics

Standard deviation23417.447
Coefficient of variation (CV)0.052492941
Kurtosis-0.59056166
Mean446106.6
Median Absolute Deviation (MAD)19503.604
Skewness-0.22501849
Sum77176441
Variance5.4837684 × 108
MonotonicityNot monotonic
2023-12-11T07:51:49.421382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460746.546568849 4
 
0.1%
414798.801277549 2
 
0.1%
440665.337478075 2
 
0.1%
472747.714919043 2
 
0.1%
439672.019267804 2
 
0.1%
485861.000942206 2
 
0.1%
388872.521248581 2
 
0.1%
459781.37819617 1
 
< 0.1%
433212.828910976 1
 
< 0.1%
405886.763095613 1
 
< 0.1%
Other values (154) 154
 
4.4%
(Missing) 3312
95.0%
ValueCountFrequency (%)
386746.574345769 1
< 0.1%
388839.765365159 1
< 0.1%
388872.521248581 2
0.1%
393555.01283393 1
< 0.1%
403673.607133621 1
< 0.1%
405886.763095613 1
< 0.1%
412052.825796122 1
< 0.1%
412102.059482355 1
< 0.1%
412392.8855444 1
< 0.1%
414428.649854014 1
< 0.1%
ValueCountFrequency (%)
500908.281567207 1
< 0.1%
488978.785965174 1
< 0.1%
488070.186350757 1
< 0.1%
487650.088794104 1
< 0.1%
485861.000942206 2
0.1%
481805.689378424 1
< 0.1%
479746.990201814 1
< 0.1%
479540.000883078 1
< 0.1%
477655.825322198 1
< 0.1%
477026.063162246 1
< 0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
인쇄사
3484 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0002869
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 3484
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T07:51:49.585090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:49.723066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 3484
> 99.9%
na 1
 
< 0.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
출판인쇄업
3484 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9997131
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 3484
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T07:51:49.825960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:49.945655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 3484
> 99.9%
na 1
 
< 0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.7%
Missing3328
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.53503185
Minimum0
Maximum10
Zeros136
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:50.080784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.662284
Coefficient of variation (CV)3.1068879
Kurtosis14.360052
Mean0.53503185
Median Absolute Deviation (MAD)0
Skewness3.6952537
Sum84
Variance2.763188
MonotonicityNot monotonic
2023-12-11T07:51:50.218722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 136
 
3.9%
2 6
 
0.2%
4 5
 
0.1%
5 3
 
0.1%
1 3
 
0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 3328
95.5%
ValueCountFrequency (%)
0 136
3.9%
1 3
 
0.1%
2 6
 
0.2%
4 5
 
0.1%
5 3
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 3
 
0.1%
4 5
 
0.1%
2 6
 
0.2%
1 3
 
0.1%
0 136
3.9%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3471 
기타
 
10
아파트지역
 
2
주택가주변
 
1
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.9962697
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3471
99.6%
기타 10
 
0.3%
아파트지역 2
 
0.1%
주택가주변 1
 
< 0.1%
유흥업소밀집지역 1
 
< 0.1%

Length

2023-12-11T07:51:50.367548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:50.492685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3471
99.6%
기타 10
 
0.3%
아파트지역 2
 
0.1%
주택가주변 1
 
< 0.1%
유흥업소밀집지역 1
 
< 0.1%

시설면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct1006
Distinct (%)59.4%
Missing1792
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean495.50774
Minimum0
Maximum41601
Zeros110
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:50.618535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.5
median140.39
Q3380
95-th percentile1590.788
Maximum41601
Range41601
Interquartile range (IQR)330.5

Descriptive statistics

Standard deviation1904.0059
Coefficient of variation (CV)3.8425351
Kurtosis249.30774
Mean495.50774
Median Absolute Deviation (MAD)107.34
Skewness13.917247
Sum838894.61
Variance3625238.5
MonotonicityNot monotonic
2023-12-11T07:51:50.782189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 110
 
3.2%
33.0 51
 
1.5%
198.0 44
 
1.3%
165.0 22
 
0.6%
66.0 18
 
0.5%
100.0 17
 
0.5%
99.0 16
 
0.5%
30.0 16
 
0.5%
330.0 13
 
0.4%
50.0 13
 
0.4%
Other values (996) 1373
39.4%
(Missing) 1792
51.4%
ValueCountFrequency (%)
0.0 110
3.2%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.8 1
 
< 0.1%
7.0 1
 
< 0.1%
8.0 1
 
< 0.1%
9.24 1
 
< 0.1%
9.9 2
 
0.1%
10.0 5
 
0.1%
11.57 1
 
< 0.1%
ValueCountFrequency (%)
41601.0 1
< 0.1%
37634.0 1
< 0.1%
28223.72 1
< 0.1%
16795.6 1
< 0.1%
14241.0 1
< 0.1%
13749.0 1
< 0.1%
12697.0 1
< 0.1%
12566.0 1
< 0.1%
11232.0 1
< 0.1%
10968.0 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.7%
Missing3328
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.49044586
Minimum0
Maximum9
Zeros133
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2023-12-11T07:51:50.929247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4349923
Coefficient of variation (CV)2.9258935
Kurtosis13.998344
Mean0.49044586
Median Absolute Deviation (MAD)0
Skewness3.598853
Sum77
Variance2.059203
MonotonicityNot monotonic
2023-12-11T07:51:51.060540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 133
 
3.8%
1 6
 
0.2%
3 5
 
0.1%
2 5
 
0.1%
4 3
 
0.1%
7 2
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 3328
95.5%
ValueCountFrequency (%)
0 133
3.8%
1 6
 
0.2%
2 5
 
0.1%
3 5
 
0.1%
4 3
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 2
 
0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 3
 
0.1%
3 5
 
0.1%
2 5
 
0.1%
1 6
 
0.2%
0 133
3.8%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3333 
0
 
141
1
 
10
2
 
1

Length

Max length4
Median length4
Mean length3.8691535
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3333
95.6%
0 141
 
4.0%
1 10
 
0.3%
2 1
 
< 0.1%

Length

2023-12-11T07:51:51.203504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:51.334281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3333
95.6%
0 141
 
4.0%
1 10
 
0.3%
2 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
2403 
근린생활시설
493 
생산시설
347 
사무실
 
96
기타
 
75
Other values (13)
 
71

Length

Max length15
Median length4
Mean length4.235868
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row전문하숙집
2nd row기타
3rd row근린생활시설
4th row근린생활시설
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2403
69.0%
근린생활시설 493
 
14.1%
생산시설 347
 
10.0%
사무실 96
 
2.8%
기타 75
 
2.2%
단독주택 14
 
0.4%
창고 13
 
0.4%
문화시설 11
 
0.3%
유통시설 9
 
0.3%
다중주택(공동주택적용) 5
 
0.1%
Other values (8) 19
 
0.5%

Length

2023-12-11T07:51:51.738746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2403
68.9%
근린생활시설 493
 
14.1%
생산시설 347
 
9.9%
사무실 96
 
2.8%
기타 75
 
2.1%
단독주택 14
 
0.4%
창고 13
 
0.4%
문화시설 11
 
0.3%
유통시설 9
 
0.3%
다중주택(공동주택적용 5
 
0.1%
Other values (9) 23
 
0.7%

조명시설조도량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3338 
0
 
147

Length

Max length4
Median length4
Mean length3.8734577
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3338
95.8%
0 147
 
4.2%

Length

2023-12-11T07:51:51.876782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:52.002871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3338
95.8%
0 147
 
4.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3338 
0
 
147

Length

Max length4
Median length4
Mean length3.8734577
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3338
95.8%
0 147
 
4.2%

Length

2023-12-11T07:51:52.133608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:52.236048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3338
95.8%
0 147
 
4.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3338 
0
 
147

Length

Max length4
Median length4
Mean length3.8734577
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3338
95.8%
0 147
 
4.2%

Length

2023-12-11T07:51:52.360752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:52.488425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3338
95.8%
0 147
 
4.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3338 
0
 
147

Length

Max length4
Median length4
Mean length3.8734577
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3338
95.8%
0 147
 
4.2%

Length

2023-12-11T07:51:52.619822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:52.715284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3338
95.8%
0 147
 
4.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3485
Missing (%)100.0%
Memory size30.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
2624 
준주거지역
 
151
일반주거지역
 
130
관리지역
 
121
공업지역
 
92
Other values (12)
367 

Length

Max length6
Median length4
Mean length4.2703013
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row일반상업지역
2nd row<NA>
3rd row일반상업지역
4th row일반상업지역
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2624
75.3%
준주거지역 151
 
4.3%
일반주거지역 130
 
3.7%
관리지역 121
 
3.5%
공업지역 92
 
2.6%
일반공업지역 85
 
2.4%
준공업지역 65
 
1.9%
일반상업지역 58
 
1.7%
근린상업지역 36
 
1.0%
주거지역 35
 
1.0%
Other values (7) 88
 
2.5%

Length

2023-12-11T07:51:52.825418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2624
75.3%
준주거지역 151
 
4.3%
일반주거지역 130
 
3.7%
관리지역 121
 
3.5%
공업지역 92
 
2.6%
일반공업지역 85
 
2.4%
준공업지역 65
 
1.9%
일반상업지역 58
 
1.7%
근린상업지역 36
 
1.0%
주거지역 35
 
1.0%
Other values (7) 88
 
2.5%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수건물용도명조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명지역구분명
0가평군이레기획20060707<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 조종새싹로 **경기도 가평군 하면 현리 ***-*번지47783137.820273127.348428<NA><NA><NA>인쇄사출판인쇄업<NA><NA>24.7<NA><NA>전문하숙집<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
1가평군산희20180417<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 석봉로 ***, *층경기도 가평군 가평읍 읍내리 ***-**번지1241837.828148127.511625<NA><NA><NA>인쇄사출판인쇄업<NA><NA>40.0<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2가평군인팩트 인쇄기획20160318<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 ***-*경기도 가평군 가평읍 읍내리 ***-*번지1241237.832249127.512705<NA><NA><NA>인쇄사출판인쇄업<NA><NA>72.76<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
3가평군드림기획20160704<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 연인*길 **-*경기도 가평군 가평읍 읍내리 ***-**번지1241837.829815127.51208<NA><NA><NA>인쇄사출판인쇄업<NA><NA>56.12<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
4가평군도서출판가나19941026<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 청평면 청평리 ***-**번지47781337.738595127.422527<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5가평군천일인쇄소19761020<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 보납로 **-*경기도 가평군 가평읍 읍내리 ***번지47780137.830888127.512216<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6가평군(주)작품만들기20030212<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 석봉로 ***-*경기도 가평군 가평읍 읍내리 ***-*번지47780137.834421127.509069<NA><NA><NA>인쇄사출판인쇄업<NA><NA>49.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7가평군청평인쇄사19840611<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 시장중앙로*번길 **경기도 가평군 청평면 청평리 ***-*번지47781337.736149127.417751<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8가평군광문인쇄소19761011<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 **경기도 가평군 가평읍 읍내리 ***-**번지47780137.828643127.514079<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9가평군대명기획20140122<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 경춘로 ****경기도 가평군 청평면 상천리 ***번지 *층47781437.77637127.461437<NA><NA><NA>인쇄사출판인쇄업<NA><NA>44.0<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수건물용도명조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명지역구분명
3475화성시해솔광고미디어20080414<NA><NA>폐업 등20110401<NA><NA><NA>경기도 화성시 봉담읍 진등*길 **-*경기도 화성시 봉담읍 상리 **-*번지44589137.220165126.94826<NA><NA><NA>인쇄사출판인쇄업<NA><NA>43.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3476화성시(주)지인20080602<NA><NA>폐업 등20130404<NA><NA><NA>경기도 화성시 병점중앙로 ***-*, ***호 (진안동,레이크*차)경기도 화성시 진안동 ***-*번지 레이크*차 ***호44539037.217888127.035109<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3477화성시에코그래픽20140421<NA><NA>폐업 등20160125<NA><NA><NA>경기도 화성시 비봉면 현대기아로 ***경기도 화성시 비봉면 양노리 ***-*번지44584237.218944126.859575<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3478화성시영진프린덱20090922<NA><NA>폐업 등20110304<NA><NA><NA>경기도 화성시 진안북길**번길 **-*경기도 화성시 진안동 **-*번지 가동44539037.225346127.033891<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3479화성시병점인쇄소19850130<NA><NA>폐업 등20080227<NA><NA><NA>경기도 화성시 떡전골로 ***-* (진안동)경기도 화성시 진안동 ***-*번지44539037.209578127.033052<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3480화성시(주)한마음커뮤니케이션20021214<NA><NA>폐업 등20030217<NA><NA><NA><NA>경기도 화성시 동탄면 중리 ***-*번지445813<NA><NA><NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3481화성시인쇄마을20041018<NA><NA>폐업 등20170630<NA><NA><NA>경기도 화성시 봉담읍 삼천병마로 ****, ***호경기도 화성시 봉담읍 상리 ***-*번지 ***호44589137.215885126.944831<NA><NA><NA>인쇄사출판인쇄업<NA><NA>195.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3482화성시동화특수인쇄공업사20070130<NA><NA>폐업 등20070824<NA><NA><NA>경기도 화성시 마도면 마도공단로 ***-** (마도공단 **-*)경기도 화성시 마도면 쌍송리 ***-*번지 마도공단 **-*44586137.175564126.787791<NA><NA><NA>인쇄사출판인쇄업<NA><NA>264.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반공업지역
3483화성시디자인 큐(Q)20070328<NA><NA>폐업 등20110209<NA><NA><NA>경기도 화성시 정남면 만년로 ***경기도 화성시 정남면 발산리 ***번지44596737.159835126.982396<NA><NA><NA>인쇄사출판인쇄업<NA><NA>25.4<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관리지역
3484화성시화성오산신문출판국20030418<NA><NA>폐업 등20110325<NA><NA><NA><NA>경기도 화성시 남양읍 남양리 ****-*번지 세림빌딩*층44501037.205745126.822252<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수건물용도명조명시설조도량노래방실수청소년실수총게임기수지역구분명# duplicates
0포천시디자인리오2023-10-1813영업중<NA><NA>11158경기도 포천시 호국로****번길 ** (자작동)경기도 포천시 자작동 **<NA><NA><NA>216011.166108485861.000942인쇄사출판인쇄업0기타1485.000기타0000관리지역2