Overview

Dataset statistics

Number of variables44
Number of observations10000
Missing cells219668
Missing cells (%)49.9%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory3.7 MiB
Average record size in memory390.0 B

Variable types

Categorical10
Text7
DateTime1
Numeric10
Unsupported16

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
Dataset has 4 (< 0.1%) duplicate rowsDuplicates
영업상태명 is highly imbalanced (65.5%)Imbalance
주변환경명 is highly imbalanced (75.8%)Imbalance
지역구분명 is highly imbalanced (69.5%)Imbalance
인허가취소일자 has 9993 (99.9%) missing valuesMissing
폐업일자 has 7584 (75.8%) missing valuesMissing
소재지시설전화번호 has 6046 (60.5%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
도로명우편번호 has 2171 (21.7%) missing valuesMissing
소재지도로명주소 has 160 (1.6%) missing valuesMissing
소재지우편번호 has 2400 (24.0%) missing valuesMissing
WGS84위도 has 2799 (28.0%) missing valuesMissing
WGS84경도 has 2799 (28.0%) missing valuesMissing
업태구분명정보 has 10000 (100.0%) missing valuesMissing
X좌표값 has 417 (4.2%) missing valuesMissing
Y좌표값 has 417 (4.2%) missing valuesMissing
총층수 has 6485 (64.8%) missing valuesMissing
시설면적(㎡) has 5127 (51.3%) missing valuesMissing
지상층수 has 6365 (63.6%) missing valuesMissing
지하층수 has 6893 (68.9%) missing valuesMissing
비상계단여부 has 10000 (100.0%) missing valuesMissing
비상구여부 has 10000 (100.0%) missing valuesMissing
자동환기여부 has 10000 (100.0%) missing valuesMissing
청소년실여부 has 10000 (100.0%) missing valuesMissing
특수조명여부 has 10000 (100.0%) missing valuesMissing
방음시설여부 has 10000 (100.0%) missing valuesMissing
비디오재생기명 has 10000 (100.0%) missing valuesMissing
조명시설유무 has 10000 (100.0%) missing valuesMissing
음향시설여부 has 10000 (100.0%) missing valuesMissing
편의시설여부 has 10000 (100.0%) missing valuesMissing
소방시설여부 has 10000 (100.0%) missing valuesMissing
기존게임업외업종명 has 10000 (100.0%) missing valuesMissing
제공게임물명 has 10000 (100.0%) missing valuesMissing
공연장형태구분명 has 10000 (100.0%) missing valuesMissing
시설면적(㎡) is highly skewed (γ1 = 69.43723836)Skewed
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 2248 (22.5%) zerosZeros
시설면적(㎡) has 1745 (17.4%) zerosZeros
지상층수 has 2220 (22.2%) zerosZeros
지하층수 has 2340 (23.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:21:39.238784
Analysis finished2023-12-10 21:21:41.749533
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시
1706 
파주시
1064 
성남시
995 
수원시
843 
용인시
750 
Other values (27)
4642 

Length

Max length4
Median length3
Mean length3.0627
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시
2nd row화성시
3rd row군포시
4th row화성시
5th row남양주시

Common Values

ValueCountFrequency (%)
고양시 1706
17.1%
파주시 1064
10.6%
성남시 995
 
10.0%
수원시 843
 
8.4%
용인시 750
 
7.5%
부천시 629
 
6.3%
안양시 547
 
5.5%
남양주시 360
 
3.6%
화성시 324
 
3.2%
김포시 264
 
2.6%
Other values (22) 2518
25.2%

Length

2023-12-11T06:21:41.817942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 1706
17.1%
파주시 1064
10.6%
성남시 995
 
10.0%
수원시 843
 
8.4%
용인시 750
 
7.5%
부천시 629
 
6.3%
안양시 547
 
5.5%
남양주시 360
 
3.6%
화성시 324
 
3.2%
김포시 264
 
2.6%
Other values (22) 2518
25.2%
Distinct9627
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:21:42.191859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35
Mean length6.9218
Min length1

Characters and Unicode

Total characters69218
Distinct characters1180
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9311 ?
Unique (%)93.1%

Sample

1st row책보다
2nd row(주)엔젤악기
3rd row푸른얼
4th row보부기획
5th row강림출판사
ValueCountFrequency (%)
도서출판 1100
 
7.8%
주식회사 607
 
4.3%
출판사 163
 
1.2%
books 49
 
0.3%
공란 40
 
0.3%
미디어 40
 
0.3%
북스 39
 
0.3%
스튜디오 37
 
0.3%
디자인 36
 
0.3%
31
 
0.2%
Other values (10334) 11917
84.8%
2023-12-11T06:21:42.782142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4066
 
5.9%
1970
 
2.8%
1964
 
2.8%
1838
 
2.7%
1733
 
2.5%
1565
 
2.3%
1485
 
2.1%
1483
 
2.1%
) 1440
 
2.1%
( 1419
 
2.1%
Other values (1170) 50255
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53146
76.8%
Lowercase Letter 4517
 
6.5%
Space Separator 4066
 
5.9%
Uppercase Letter 4003
 
5.8%
Close Punctuation 1442
 
2.1%
Open Punctuation 1421
 
2.1%
Decimal Number 343
 
0.5%
Other Punctuation 225
 
0.3%
Dash Punctuation 44
 
0.1%
Math Symbol 4
 
< 0.1%
Other values (4) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1970
 
3.7%
1964
 
3.7%
1838
 
3.5%
1733
 
3.3%
1565
 
2.9%
1485
 
2.8%
1483
 
2.8%
1403
 
2.6%
876
 
1.6%
805
 
1.5%
Other values (1082) 38024
71.5%
Lowercase Letter
ValueCountFrequency (%)
o 546
12.1%
e 537
11.9%
i 387
 
8.6%
n 345
 
7.6%
a 335
 
7.4%
s 326
 
7.2%
r 238
 
5.3%
t 236
 
5.2%
l 198
 
4.4%
d 159
 
3.5%
Other values (16) 1210
26.8%
Uppercase Letter
ValueCountFrequency (%)
S 330
 
8.2%
E 296
 
7.4%
A 281
 
7.0%
O 273
 
6.8%
I 215
 
5.4%
T 214
 
5.3%
B 213
 
5.3%
M 203
 
5.1%
C 198
 
4.9%
N 195
 
4.9%
Other values (16) 1585
39.6%
Other Punctuation
ValueCountFrequency (%)
. 92
40.9%
& 85
37.8%
, 17
 
7.6%
' 8
 
3.6%
/ 6
 
2.7%
: 5
 
2.2%
4
 
1.8%
" 4
 
1.8%
! 2
 
0.9%
% 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 87
25.4%
2 70
20.4%
0 42
12.2%
3 37
10.8%
8 27
 
7.9%
4 23
 
6.7%
5 19
 
5.5%
9 18
 
5.2%
7 11
 
3.2%
6 9
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 1440
99.9%
] 1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1419
99.9%
[ 1
 
0.1%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
4066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52994
76.6%
Latin 8520
 
12.3%
Common 7549
 
10.9%
Han 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1970
 
3.7%
1964
 
3.7%
1838
 
3.5%
1733
 
3.3%
1565
 
3.0%
1485
 
2.8%
1483
 
2.8%
1403
 
2.6%
876
 
1.7%
805
 
1.5%
Other values (972) 37872
71.5%
Han
ValueCountFrequency (%)
5
 
3.2%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
Other values (101) 120
77.4%
Latin
ValueCountFrequency (%)
o 546
 
6.4%
e 537
 
6.3%
i 387
 
4.5%
n 345
 
4.0%
a 335
 
3.9%
S 330
 
3.9%
s 326
 
3.8%
E 296
 
3.5%
A 281
 
3.3%
O 273
 
3.2%
Other values (42) 4864
57.1%
Common
ValueCountFrequency (%)
4066
53.9%
) 1440
 
19.1%
( 1419
 
18.8%
. 92
 
1.2%
1 87
 
1.2%
& 85
 
1.1%
2 70
 
0.9%
- 44
 
0.6%
0 42
 
0.6%
3 37
 
0.5%
Other values (25) 167
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52990
76.6%
ASCII 16061
 
23.2%
CJK 151
 
0.2%
None 10
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4066
25.3%
) 1440
 
9.0%
( 1419
 
8.8%
o 546
 
3.4%
e 537
 
3.3%
i 387
 
2.4%
n 345
 
2.1%
a 335
 
2.1%
S 330
 
2.1%
s 326
 
2.0%
Other values (72) 6330
39.4%
Hangul
ValueCountFrequency (%)
1970
 
3.7%
1964
 
3.7%
1838
 
3.5%
1733
 
3.3%
1565
 
3.0%
1485
 
2.8%
1483
 
2.8%
1403
 
2.6%
876
 
1.7%
805
 
1.5%
Other values (970) 37868
71.5%
CJK
ValueCountFrequency (%)
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (97) 116
76.8%
None
ValueCountFrequency (%)
4
40.0%
3
30.0%
1
 
10.0%
1
 
10.0%
· 1
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct4745
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1950-11-01 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:21:42.975520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:21:43.138130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing9993
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20133757
Minimum20091117
Maximum20190722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:43.235860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091117
5-th percentile20094053
Q120100962
median20101020
Q320175760
95-th percentile20187687
Maximum20190722
Range99605
Interquartile range (IQR)74798

Descriptive statistics

Standard deviation44462.28
Coefficient of variation (CV)0.0022083449
Kurtosis-2.53167
Mean20133757
Median Absolute Deviation (MAD)9903
Skewness0.4135978
Sum1.409363 × 108
Variance1.9768944 × 109
MonotonicityNot monotonic
2023-12-11T06:21:43.334226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20101020 2
 
< 0.1%
20190722 1
 
< 0.1%
20180605 1
 
< 0.1%
20170914 1
 
< 0.1%
20100903 1
 
< 0.1%
20091117 1
 
< 0.1%
(Missing) 9993
99.9%
ValueCountFrequency (%)
20091117 1
< 0.1%
20100903 1
< 0.1%
20101020 2
< 0.1%
20170914 1
< 0.1%
20180605 1
< 0.1%
20190722 1
< 0.1%
ValueCountFrequency (%)
20190722 1
< 0.1%
20180605 1
< 0.1%
20170914 1
< 0.1%
20101020 2
< 0.1%
20100903 1
< 0.1%
20091117 1
< 0.1%

영업상태구분코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.636
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:43.426039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q113
median13
Q313
95-th percentile15
Maximum35
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5473038
Coefficient of variation (CV)0.39079613
Kurtosis6.3692946
Mean11.636
Median Absolute Deviation (MAD)0
Skewness0.26169259
Sum116360
Variance20.677972
MonotonicityNot monotonic
2023-12-11T06:21:43.519768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 7523
75.2%
3 1723
 
17.2%
15 626
 
6.3%
35 95
 
0.9%
14 19
 
0.2%
32 9
 
0.1%
30 3
 
< 0.1%
2 1
 
< 0.1%
31 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1723
 
17.2%
13 7523
75.2%
14 19
 
0.2%
15 626
 
6.3%
30 3
 
< 0.1%
31 1
 
< 0.1%
32 9
 
0.1%
35 95
 
0.9%
ValueCountFrequency (%)
35 95
 
0.9%
32 9
 
0.1%
31 1
 
< 0.1%
30 3
 
< 0.1%
15 626
 
6.3%
14 19
 
0.2%
13 7523
75.2%
3 1723
 
17.2%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
7523 
폐업
1723 
전출
 
626
직권말소
 
95
전입
 
19
Other values (4)
 
14

Length

Max length4
Median length3
Mean length2.7739
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 7523
75.2%
폐업 1723
 
17.2%
전출 626
 
6.3%
직권말소 95
 
0.9%
전입 19
 
0.2%
신고취소 9
 
0.1%
허가취소 3
 
< 0.1%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%

Length

2023-12-11T06:21:43.653050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:43.847577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 7523
75.2%
폐업 1723
 
17.2%
전출 626
 
6.3%
직권말소 95
 
0.9%
전입 19
 
0.2%
신고취소 9
 
0.1%
허가취소 3
 
< 0.1%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%

폐업일자
Text

MISSING 

Distinct1651
Distinct (%)68.3%
Missing7584
Missing (%)75.8%
Memory size156.2 KiB
2023-12-11T06:21:44.177361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1937086
Min length8

Characters and Unicode

Total characters19796
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

Unique1170 ?
Unique (%)48.4%

Sample

1st row20191125
2nd row20100719
3rd row20210910
4th row20170330
5th row20180611
ValueCountFrequency (%)
20031103 40
 
1.7%
20171127 17
 
0.7%
20210422 15
 
0.6%
20171229 15
 
0.6%
20201222 11
 
0.5%
20191125 9
 
0.4%
20220120 7
 
0.3%
20210702 7
 
0.3%
20220104 6
 
0.2%
20190529 6
 
0.2%
Other values (1641) 2283
94.5%
2023-12-11T06:21:44.579118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5918
29.9%
2 5319
26.9%
1 3546
17.9%
3 1033
 
5.2%
9 673
 
3.4%
7 632
 
3.2%
8 630
 
3.2%
4 534
 
2.7%
6 525
 
2.7%
5 518
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19328
97.6%
Dash Punctuation 468
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5918
30.6%
2 5319
27.5%
1 3546
18.3%
3 1033
 
5.3%
9 673
 
3.5%
7 632
 
3.3%
8 630
 
3.3%
4 534
 
2.8%
6 525
 
2.7%
5 518
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5918
29.9%
2 5319
26.9%
1 3546
17.9%
3 1033
 
5.2%
9 673
 
3.4%
7 632
 
3.2%
8 630
 
3.2%
4 534
 
2.7%
6 525
 
2.7%
5 518
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5918
29.9%
2 5319
26.9%
1 3546
17.9%
3 1033
 
5.2%
9 673
 
3.4%
7 632
 
3.2%
8 630
 
3.2%
4 534
 
2.7%
6 525
 
2.7%
5 518
 
2.6%
Distinct3697
Distinct (%)93.5%
Missing6046
Missing (%)60.5%
Memory size156.2 KiB
2023-12-11T06:21:44.853307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.836115
Min length1

Characters and Unicode

Total characters42846
Distinct characters18
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3561 ?
Unique (%)90.1%

Sample

1st row070-7766-2592
2nd row227-1664
3rd row070-8639-8004
4th row572-7978
5th row031-576-4566
ValueCountFrequency (%)
0 35
 
0.9%
031 33
 
0.8%
02-971-7347 17
 
0.4%
02-330-5573 9
 
0.2%
936-4196 7
 
0.2%
0000000 7
 
0.2%
031-907-3927 6
 
0.2%
00 5
 
0.1%
5
 
0.1%
000000000 4
 
0.1%
Other values (3691) 3836
96.8%
2023-12-11T06:21:45.229366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6491
15.1%
- 6400
14.9%
3 4724
11.0%
1 4669
10.9%
2 3525
8.2%
7 3394
7.9%
5 2913
6.8%
9 2807
6.6%
4 2697
6.3%
8 2611
6.1%
Other values (8) 2615
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36380
84.9%
Dash Punctuation 6400
 
14.9%
Close Punctuation 37
 
0.1%
Math Symbol 12
 
< 0.1%
Space Separator 10
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6491
17.8%
3 4724
13.0%
1 4669
12.8%
2 3525
9.7%
7 3394
9.3%
5 2913
8.0%
9 2807
7.7%
4 2697
7.4%
8 2611
7.2%
6 2549
 
7.0%
Math Symbol
ValueCountFrequency (%)
~ 10
83.3%
+ 2
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 6400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42846
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6491
15.1%
- 6400
14.9%
3 4724
11.0%
1 4669
10.9%
2 3525
8.2%
7 3394
7.9%
5 2913
6.8%
9 2807
6.6%
4 2697
6.3%
8 2611
6.1%
Other values (8) 2615
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6491
15.1%
- 6400
14.9%
3 4724
11.0%
1 4669
10.9%
2 3525
8.2%
7 3394
7.9%
5 2913
6.8%
9 2807
6.6%
4 2697
6.3%
8 2611
6.1%
Other values (8) 2615
6.1%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

도로명우편번호
Text

MISSING 

Distinct3651
Distinct (%)46.6%
Missing2171
Missing (%)21.7%
Memory size156.2 KiB
2023-12-11T06:21:45.571576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2548218
Min length5

Characters and Unicode

Total characters41140
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

Unique2195 ?
Unique (%)28.0%

Sample

1st row16851
2nd row15864
3rd row445891
4th row472811
5th row426210
ValueCountFrequency (%)
10881 274
 
3.5%
413120 89
 
1.1%
10449 45
 
0.6%
13487 38
 
0.5%
10401 38
 
0.5%
10403 37
 
0.5%
10402 31
 
0.4%
410837 29
 
0.4%
17006 26
 
0.3%
10880 25
 
0.3%
Other values (3641) 7197
91.9%
2023-12-11T06:21:46.037603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9483
23.1%
4 5563
13.5%
0 5014
12.2%
8 3655
 
8.9%
3 3519
 
8.6%
2 3170
 
7.7%
6 2982
 
7.2%
5 2926
 
7.1%
7 2683
 
6.5%
9 2101
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41096
99.9%
Dash Punctuation 44
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9483
23.1%
4 5563
13.5%
0 5014
12.2%
8 3655
 
8.9%
3 3519
 
8.6%
2 3170
 
7.7%
6 2982
 
7.3%
5 2926
 
7.1%
7 2683
 
6.5%
9 2101
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9483
23.1%
4 5563
13.5%
0 5014
12.2%
8 3655
 
8.9%
3 3519
 
8.6%
2 3170
 
7.7%
6 2982
 
7.2%
5 2926
 
7.1%
7 2683
 
6.5%
9 2101
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9483
23.1%
4 5563
13.5%
0 5014
12.2%
8 3655
 
8.9%
3 3519
 
8.6%
2 3170
 
7.7%
6 2982
 
7.2%
5 2926
 
7.1%
7 2683
 
6.5%
9 2101
 
5.1%
Distinct8508
Distinct (%)86.5%
Missing160
Missing (%)1.6%
Memory size156.2 KiB
2023-12-11T06:21:46.346186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length57
Mean length37.727744
Min length15

Characters and Unicode

Total characters371241
Distinct characters685
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

Unique7656 ?
Unique (%)77.8%

Sample

1st row경기도 용인시 수지구 성복*로 ***, ***동 ***호 (성복동, 성동마을엘지빌리지*차)
2nd row경기도 화성시 작현길 ** (송산동)
3rd row경기도 군포시 오금로 **, ***동 **층 ****호 (금정동, 율곡아파트)
4th row경기도 화성시 봉담읍 진등*길 **-*
5th row경기도 남양주시 별내면 청학로학교길 **-**, 지층 *호 (청학빌라)
ValueCountFrequency (%)
9933
 
13.6%
경기도 9824
 
13.4%
6228
 
8.5%
3070
 
4.2%
고양시 1680
 
2.3%
1586
 
2.2%
파주시 1055
 
1.4%
성남시 986
 
1.3%
수원시 828
 
1.1%
일산동구 800
 
1.1%
Other values (7969) 37078
50.7%
2023-12-11T06:21:46.831951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 69900
18.8%
64525
17.4%
15219
 
4.1%
, 11661
 
3.1%
10472
 
2.8%
10470
 
2.8%
10300
 
2.8%
10247
 
2.8%
( 9140
 
2.5%
) 9139
 
2.5%
Other values (675) 150168
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202734
54.6%
Other Punctuation 81623
22.0%
Space Separator 64525
 
17.4%
Open Punctuation 9140
 
2.5%
Close Punctuation 9139
 
2.5%
Dash Punctuation 2403
 
0.6%
Uppercase Letter 1355
 
0.4%
Lowercase Letter 295
 
0.1%
Math Symbol 20
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15219
 
7.5%
10472
 
5.2%
10470
 
5.2%
10300
 
5.1%
10247
 
5.1%
8896
 
4.4%
7204
 
3.6%
5473
 
2.7%
4364
 
2.2%
4295
 
2.1%
Other values (614) 115794
57.1%
Uppercase Letter
ValueCountFrequency (%)
B 290
21.4%
A 249
18.4%
I 134
9.9%
C 99
 
7.3%
S 75
 
5.5%
K 58
 
4.3%
T 52
 
3.8%
D 51
 
3.8%
E 38
 
2.8%
R 37
 
2.7%
Other values (16) 272
20.1%
Lowercase Letter
ValueCountFrequency (%)
e 113
38.3%
c 34
 
11.5%
t 31
 
10.5%
r 23
 
7.8%
n 22
 
7.5%
b 11
 
3.7%
a 11
 
3.7%
l 9
 
3.1%
i 8
 
2.7%
m 8
 
2.7%
Other values (9) 25
 
8.5%
Other Punctuation
ValueCountFrequency (%)
* 69900
85.6%
, 11661
 
14.3%
. 39
 
< 0.1%
& 14
 
< 0.1%
/ 4
 
< 0.1%
' 3
 
< 0.1%
@ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 16
80.0%
4
 
20.0%
Letter Number
ValueCountFrequency (%)
4
66.7%
2
33.3%
Space Separator
ValueCountFrequency (%)
64525
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2403
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202732
54.6%
Common 166851
44.9%
Latin 1656
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15219
 
7.5%
10472
 
5.2%
10470
 
5.2%
10300
 
5.1%
10247
 
5.1%
8896
 
4.4%
7204
 
3.6%
5473
 
2.7%
4364
 
2.2%
4295
 
2.1%
Other values (612) 115792
57.1%
Latin
ValueCountFrequency (%)
B 290
17.5%
A 249
15.0%
I 134
 
8.1%
e 113
 
6.8%
C 99
 
6.0%
S 75
 
4.5%
K 58
 
3.5%
T 52
 
3.1%
D 51
 
3.1%
E 38
 
2.3%
Other values (37) 497
30.0%
Common
ValueCountFrequency (%)
* 69900
41.9%
64525
38.7%
, 11661
 
7.0%
( 9140
 
5.5%
) 9139
 
5.5%
- 2403
 
1.4%
. 39
 
< 0.1%
~ 16
 
< 0.1%
& 14
 
< 0.1%
4
 
< 0.1%
Other values (4) 10
 
< 0.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202732
54.6%
ASCII 168497
45.4%
Number Forms 6
 
< 0.1%
Math Operators 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 69900
41.5%
64525
38.3%
, 11661
 
6.9%
( 9140
 
5.4%
) 9139
 
5.4%
- 2403
 
1.4%
B 290
 
0.2%
A 249
 
0.1%
I 134
 
0.1%
e 113
 
0.1%
Other values (48) 943
 
0.6%
Hangul
ValueCountFrequency (%)
15219
 
7.5%
10472
 
5.2%
10470
 
5.2%
10300
 
5.1%
10247
 
5.1%
8896
 
4.4%
7204
 
3.6%
5473
 
2.7%
4364
 
2.2%
4295
 
2.1%
Other values (612) 115792
57.1%
Math Operators
ValueCountFrequency (%)
4
100.0%
Number Forms
ValueCountFrequency (%)
4
66.7%
2
33.3%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct7609
Distinct (%)76.2%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T06:21:47.144746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length28.823288
Min length11

Characters and Unicode

Total characters287887
Distinct characters638
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

Unique6445 ?
Unique (%)64.5%

Sample

1st row경기도 용인시 수지구 성복동 ***번지 성동마을엘지빌리지*차 ***동 ***호
2nd row경기도 화성시 송산동 ***-***
3rd row경기도 군포시 금정동 *** 율곡아파트 ***동 ****호
4th row경기도 화성시 봉담읍 상리 **-*
5th row경기도 남양주시 별내면 청학리 ***번지 청학빌라 *호
ValueCountFrequency (%)
경기도 9970
 
16.6%
번지 5305
 
8.8%
4591
 
7.6%
3695
 
6.2%
1804
 
3.0%
고양시 1706
 
2.8%
파주시 1064
 
1.8%
성남시 995
 
1.7%
수원시 840
 
1.4%
일산동구 808
 
1.3%
Other values (4995) 29239
48.7%
2023-12-11T06:21:47.683345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 58199
20.2%
54039
18.8%
13057
 
4.5%
10499
 
3.6%
10409
 
3.6%
10300
 
3.6%
10143
 
3.5%
6799
 
2.4%
- 6044
 
2.1%
5432
 
1.9%
Other values (628) 102966
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167973
58.3%
Other Punctuation 58339
 
20.3%
Space Separator 54039
 
18.8%
Dash Punctuation 6044
 
2.1%
Uppercase Letter 1050
 
0.4%
Lowercase Letter 256
 
0.1%
Open Punctuation 87
 
< 0.1%
Close Punctuation 86
 
< 0.1%
Math Symbol 7
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13057
 
7.8%
10499
 
6.3%
10409
 
6.2%
10300
 
6.1%
10143
 
6.0%
6799
 
4.0%
5432
 
3.2%
5308
 
3.2%
4263
 
2.5%
4075
 
2.4%
Other values (567) 87688
52.2%
Uppercase Letter
ValueCountFrequency (%)
B 182
17.3%
A 161
15.3%
I 119
11.3%
S 69
 
6.6%
C 66
 
6.3%
K 55
 
5.2%
T 53
 
5.0%
E 37
 
3.5%
L 34
 
3.2%
D 33
 
3.1%
Other values (16) 241
23.0%
Lowercase Letter
ValueCountFrequency (%)
e 104
40.6%
c 27
 
10.5%
t 26
 
10.2%
r 21
 
8.2%
n 20
 
7.8%
a 9
 
3.5%
l 8
 
3.1%
i 7
 
2.7%
m 6
 
2.3%
b 5
 
2.0%
Other values (9) 23
 
9.0%
Other Punctuation
ValueCountFrequency (%)
* 58199
99.8%
, 66
 
0.1%
. 38
 
0.1%
& 13
 
< 0.1%
@ 13
 
< 0.1%
/ 7
 
< 0.1%
' 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
4
57.1%
~ 3
42.9%
Letter Number
ValueCountFrequency (%)
3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
54039
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6044
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167970
58.3%
Common 118603
41.2%
Latin 1311
 
0.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13057
 
7.8%
10499
 
6.3%
10409
 
6.2%
10300
 
6.1%
10143
 
6.0%
6799
 
4.0%
5432
 
3.2%
5308
 
3.2%
4263
 
2.5%
4075
 
2.4%
Other values (564) 87685
52.2%
Latin
ValueCountFrequency (%)
B 182
13.9%
A 161
 
12.3%
I 119
 
9.1%
e 104
 
7.9%
S 69
 
5.3%
C 66
 
5.0%
K 55
 
4.2%
T 53
 
4.0%
E 37
 
2.8%
L 34
 
2.6%
Other values (37) 431
32.9%
Common
ValueCountFrequency (%)
* 58199
49.1%
54039
45.6%
- 6044
 
5.1%
( 87
 
0.1%
) 86
 
0.1%
, 66
 
0.1%
. 38
 
< 0.1%
& 13
 
< 0.1%
@ 13
 
< 0.1%
/ 7
 
< 0.1%
Other values (4) 11
 
< 0.1%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167970
58.3%
ASCII 119904
41.6%
Number Forms 5
 
< 0.1%
Math Operators 4
 
< 0.1%
CJK 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 58199
48.5%
54039
45.1%
- 6044
 
5.0%
B 182
 
0.2%
A 161
 
0.1%
I 119
 
0.1%
e 104
 
0.1%
( 87
 
0.1%
) 86
 
0.1%
S 69
 
0.1%
Other values (47) 814
 
0.7%
Hangul
ValueCountFrequency (%)
13057
 
7.8%
10499
 
6.3%
10409
 
6.2%
10300
 
6.1%
10143
 
6.0%
6799
 
4.0%
5432
 
3.2%
5308
 
3.2%
4263
 
2.5%
4075
 
2.4%
Other values (564) 87685
52.2%
Math Operators
ValueCountFrequency (%)
4
100.0%
Number Forms
ValueCountFrequency (%)
3
60.0%
2
40.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

소재지우편번호
Text

MISSING 

Distinct3570
Distinct (%)47.0%
Missing2400
Missing (%)24.0%
Memory size156.2 KiB
2023-12-11T06:21:48.062152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5406579
Min length5

Characters and Unicode

Total characters42109
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

Unique2157 ?
Unique (%)28.4%

Sample

1st row16851
2nd row445370
3rd row15864
4th row445891
5th row472811
ValueCountFrequency (%)
10881 158
 
2.1%
413832 127
 
1.7%
410837 107
 
1.4%
413120 94
 
1.2%
423070 41
 
0.5%
10449 32
 
0.4%
10401 29
 
0.4%
16508 28
 
0.4%
410834 28
 
0.4%
10403 27
 
0.4%
Other values (3560) 6929
91.2%
2023-12-11T06:21:48.508336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8023
19.1%
4 7326
17.4%
0 4950
11.8%
8 4407
10.5%
3 4012
9.5%
2 3642
8.6%
6 2795
 
6.6%
7 2665
 
6.3%
5 2567
 
6.1%
9 1666
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42053
99.9%
Dash Punctuation 56
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8023
19.1%
4 7326
17.4%
0 4950
11.8%
8 4407
10.5%
3 4012
9.5%
2 3642
8.7%
6 2795
 
6.6%
7 2665
 
6.3%
5 2567
 
6.1%
9 1666
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8023
19.1%
4 7326
17.4%
0 4950
11.8%
8 4407
10.5%
3 4012
9.5%
2 3642
8.6%
6 2795
 
6.6%
7 2665
 
6.3%
5 2567
 
6.1%
9 1666
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8023
19.1%
4 7326
17.4%
0 4950
11.8%
8 4407
10.5%
3 4012
9.5%
2 3642
8.6%
6 2795
 
6.6%
7 2665
 
6.3%
5 2567
 
6.1%
9 1666
 
4.0%

WGS84위도
Real number (ℝ)

MISSING 

Distinct6085
Distinct (%)84.5%
Missing2799
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean37.484697
Minimum35.33567
Maximum38.1583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:48.653811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.33567
5-th percentile37.210459
Q137.335285
median37.459583
Q337.659979
95-th percentile37.741895
Maximum38.1583
Range2.8226294
Interquartile range (IQR)0.32469362

Descriptive statistics

Standard deviation0.19271493
Coefficient of variation (CV)0.0051411629
Kurtosis1.3844141
Mean37.484697
Median Absolute Deviation (MAD)0.1739276
Skewness-0.26985845
Sum269927.3
Variance0.037139045
MonotonicityNot monotonic
2023-12-11T06:21:48.770730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4322451 40
 
0.4%
37.7045944 19
 
0.2%
37.6115918 14
 
0.1%
37.6399409 13
 
0.1%
37.4003481203 13
 
0.1%
37.5086718515 10
 
0.1%
37.3714724 9
 
0.1%
37.5119498 9
 
0.1%
37.6546825 9
 
0.1%
37.7084543 9
 
0.1%
Other values (6075) 7056
70.6%
(Missing) 2799
 
28.0%
ValueCountFrequency (%)
35.3356703 1
< 0.1%
36.6560385 1
< 0.1%
36.9430857 1
< 0.1%
36.9579393 1
< 0.1%
36.9602192 1
< 0.1%
36.9610339 1
< 0.1%
36.9616687 1
< 0.1%
36.9618516 1
< 0.1%
36.9625253 1
< 0.1%
36.9627494 1
< 0.1%
ValueCountFrequency (%)
38.1582997 1
< 0.1%
38.1091377 1
< 0.1%
38.099586 1
< 0.1%
38.0763613 1
< 0.1%
38.0745864 1
< 0.1%
38.037541432 2
< 0.1%
38.0363963 1
< 0.1%
38.0308666 1
< 0.1%
38.0285966 1
< 0.1%
38.0282571 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct6091
Distinct (%)84.6%
Missing2799
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean126.95715
Minimum126.54812
Maximum129.01876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:49.111625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54812
5-th percentile126.68859
Q1126.77929
median126.95436
Q3127.10752
95-th percentile127.26781
Maximum129.01876
Range2.4706407
Interquartile range (IQR)0.3282305

Descriptive statistics

Standard deviation0.19714104
Coefficient of variation (CV)0.0015528156
Kurtosis1.6940438
Mean126.95715
Median Absolute Deviation (MAD)0.1647368
Skewness0.72187478
Sum914218.43
Variance0.038864589
MonotonicityNot monotonic
2023-12-11T06:21:49.252034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8557968 40
 
0.4%
126.6864675 19
 
0.2%
127.1602068 14
 
0.1%
127.1049265705 13
 
0.1%
126.7859583 13
 
0.1%
126.7437361036 10
 
0.1%
126.7465273 9
 
0.1%
127.1072757 9
 
0.1%
126.6845233 9
 
0.1%
126.7726001 9
 
0.1%
Other values (6081) 7056
70.6%
(Missing) 2799
 
28.0%
ValueCountFrequency (%)
126.5481189 1
< 0.1%
126.5559556 1
< 0.1%
126.5829311835 1
< 0.1%
126.592567 1
< 0.1%
126.5931679 1
< 0.1%
126.5962136 1
< 0.1%
126.6017881209 1
< 0.1%
126.6046835647 1
< 0.1%
126.61031 1
< 0.1%
126.6128192537 1
< 0.1%
ValueCountFrequency (%)
129.0187596 1
< 0.1%
127.7423638378 1
< 0.1%
127.7211587028 1
< 0.1%
127.7159658 1
< 0.1%
127.7107605 1
< 0.1%
127.6973752 1
< 0.1%
127.6964161021 1
< 0.1%
127.6893809 1
< 0.1%
127.6684890037 1
< 0.1%
127.6683245 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct6944
Distinct (%)72.5%
Missing417
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean196162.47
Minimum158662.13
Maximum383475.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:49.381360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158662.13
5-th percentile172428.04
Q1180377.38
median196096.05
Q3209427.7
95-th percentile223158.05
Maximum383475.22
Range224813.08
Interquartile range (IQR)29050.32

Descriptive statistics

Standard deviation17396.327
Coefficient of variation (CV)0.088683255
Kurtosis1.5117749
Mean196162.47
Median Absolute Deviation (MAD)14580.778
Skewness0.68867049
Sum1.879825 × 109
Variance3.0263218 × 108
MonotonicityNot monotonic
2023-12-11T06:21:49.518666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209175.219648183 35
 
0.4%
172287.682918964 33
 
0.3%
179935.267998763 21
 
0.2%
177525.457142467 21
 
0.2%
179867.687196662 17
 
0.2%
173023.618028216 17
 
0.2%
181044.663767492 16
 
0.2%
181199.730502486 16
 
0.2%
185476.682306327 14
 
0.1%
179708.826286267 14
 
0.1%
Other values (6934) 9379
93.8%
(Missing) 417
 
4.2%
ValueCountFrequency (%)
158662.133988159 1
< 0.1%
159541.102743405 1
< 0.1%
160082.558666667 1
< 0.1%
160804.744945852 1
< 0.1%
162913.48561222 1
< 0.1%
163011.630319766 1
< 0.1%
163316.534035581 1
< 0.1%
163977.881957726 1
< 0.1%
164067.541649086 1
< 0.1%
164220.639264779 1
< 0.1%
ValueCountFrequency (%)
383475.216043062 1
< 0.1%
266117.382719417 1
< 0.1%
265626.267330693 2
< 0.1%
263845.353678408 1
< 0.1%
263447.827551283 1
< 0.1%
262871.580014353 1
< 0.1%
262739.343673043 1
< 0.1%
262513.74157973 1
< 0.1%
261964.752529762 1
< 0.1%
261883.121200427 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct6944
Distinct (%)72.5%
Missing417
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean442655.97
Minimum205901.17
Maximum517305.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:49.668159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205901.17
5-th percentile412037.56
Q1425691.71
median440686.66
Q3462041.9
95-th percentile471485.23
Maximum517305.49
Range311404.32
Interquartile range (IQR)36350.193

Descriptive statistics

Standard deviation21438.782
Coefficient of variation (CV)0.048432155
Kurtosis0.75561989
Mean442655.97
Median Absolute Deviation (MAD)19150.513
Skewness-0.21568727
Sum4.2419721 × 109
Variance4.5962139 × 108
MonotonicityNot monotonic
2023-12-11T06:21:49.809705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433168.261766989 35
 
0.4%
466963.017126946 33
 
0.3%
461800.124782342 21
 
0.2%
445566.116312854 21
 
0.2%
461402.023019802 17
 
0.2%
468843.576355183 17
 
0.2%
459762.271864032 16
 
0.2%
459483.063667204 16
 
0.2%
457629.63752103 14
 
0.1%
461404.803949418 14
 
0.1%
Other values (6934) 9379
93.8%
(Missing) 417
 
4.2%
ValueCountFrequency (%)
205901.16728781 1
< 0.1%
382012.769391886 1
< 0.1%
382401.149821267 1
< 0.1%
382451.82115401 1
< 0.1%
384047.950551715 1
< 0.1%
384301.908610255 1
< 0.1%
384306.411092622 1
< 0.1%
384342.362575398 1
< 0.1%
384461.753129491 1
< 0.1%
384557.118048137 1
< 0.1%
ValueCountFrequency (%)
517305.486508463 1
< 0.1%
513884.660007639 1
< 0.1%
513462.312576676 1
< 0.1%
511787.083217537 1
< 0.1%
510763.106566076 1
< 0.1%
508179.757191223 1
< 0.1%
507989.186226162 1
< 0.1%
503866.060748168 2
< 0.1%
503747.20613404 1
< 0.1%
503149.453999466 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
출판사
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 10000
100.0%

Length

2023-12-11T06:21:49.936892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:50.036900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 10000
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
출판인쇄업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 10000
100.0%

Length

2023-12-11T06:21:50.128214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:50.215217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 10000
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)1.2%
Missing6485
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean2.8970128
Minimum0
Maximum49
Zeros2248
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:50.335539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile17
Maximum49
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.150103
Coefficient of variation (CV)2.1229119
Kurtosis12.334828
Mean2.8970128
Median Absolute Deviation (MAD)0
Skewness3.1548877
Sum10183
Variance37.823767
MonotonicityNot monotonic
2023-12-11T06:21:50.471024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 2248
 
22.5%
4 197
 
2.0%
1 154
 
1.5%
5 149
 
1.5%
2 131
 
1.3%
3 123
 
1.2%
6 67
 
0.7%
16 47
 
0.5%
17 46
 
0.5%
15 39
 
0.4%
Other values (32) 314
 
3.1%
(Missing) 6485
64.8%
ValueCountFrequency (%)
0 2248
22.5%
1 154
 
1.5%
2 131
 
1.3%
3 123
 
1.2%
4 197
 
2.0%
5 149
 
1.5%
6 67
 
0.7%
7 28
 
0.3%
8 24
 
0.2%
9 12
 
0.1%
ValueCountFrequency (%)
49 2
 
< 0.1%
47 2
 
< 0.1%
46 1
 
< 0.1%
43 1
 
< 0.1%
42 3
< 0.1%
41 1
 
< 0.1%
40 5
0.1%
39 2
 
< 0.1%
37 4
< 0.1%
36 1
 
< 0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8834 
기타
 
564
아파트지역
 
336
주택가주변
 
195
학교정화(상대)
 
47
Other values (3)
 
24

Length

Max length8
Median length4
Mean length3.9686
Min length2

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> 8834
88.3%
기타 564
 
5.6%
아파트지역 336
 
3.4%
주택가주변 195
 
1.9%
학교정화(상대) 47
 
0.5%
유흥업소밀집지역 13
 
0.1%
학교정화(절대) 10
 
0.1%
결혼예식장주변 1
 
< 0.1%

Length

2023-12-11T06:21:50.591049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:50.699262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8834
88.3%
기타 564
 
5.6%
아파트지역 336
 
3.4%
주택가주변 195
 
1.9%
학교정화(상대 47
 
0.5%
유흥업소밀집지역 13
 
0.1%
학교정화(절대 10
 
0.1%
결혼예식장주변 1
 
< 0.1%

시설면적(㎡)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1840
Distinct (%)37.8%
Missing5127
Missing (%)51.3%
Infinite0
Infinite (%)0.0%
Mean341.16313
Minimum0
Maximum1104780
Zeros1745
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:50.838948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33.05
Q384.93
95-th percentile298.218
Maximum1104780
Range1104780
Interquartile range (IQR)84.93

Descriptive statistics

Standard deviation15853.278
Coefficient of variation (CV)46.468323
Kurtosis4837.832
Mean341.16313
Median Absolute Deviation (MAD)33.05
Skewness69.437238
Sum1662487.9
Variance2.5132643 × 108
MonotonicityNot monotonic
2023-12-11T06:21:50.979336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1745
 
17.4%
33.0 89
 
0.9%
10.0 54
 
0.5%
66.0 39
 
0.4%
30.0 39
 
0.4%
20.0 37
 
0.4%
3.3 34
 
0.3%
50.0 23
 
0.2%
198.0 22
 
0.2%
84.0 22
 
0.2%
Other values (1830) 2769
27.7%
(Missing) 5127
51.3%
ValueCountFrequency (%)
0.0 1745
17.4%
0.3 1
 
< 0.1%
0.99 1
 
< 0.1%
1.1 1
 
< 0.1%
1.3 1
 
< 0.1%
1.72 1
 
< 0.1%
1.8 2
 
< 0.1%
1.98 1
 
< 0.1%
2.0 2
 
< 0.1%
3.0 3
 
< 0.1%
ValueCountFrequency (%)
1104780.0 1
< 0.1%
52242.08 1
< 0.1%
23434.0 1
< 0.1%
19907.76 1
< 0.1%
17527.16 1
< 0.1%
10628.88 1
< 0.1%
7719.0 1
< 0.1%
5361.67 1
< 0.1%
3663.0 1
< 0.1%
3654.71 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)1.0%
Missing6365
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean2.6011004
Minimum0
Maximum46
Zeros2220
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:51.117118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile15
Maximum46
Range46
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.3132371
Coefficient of variation (CV)2.0426882
Kurtosis12.442164
Mean2.6011004
Median Absolute Deviation (MAD)0
Skewness3.1450904
Sum9455
Variance28.230489
MonotonicityNot monotonic
2023-12-11T06:21:51.243096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 2220
 
22.2%
4 223
 
2.2%
2 204
 
2.0%
3 203
 
2.0%
1 195
 
1.9%
15 113
 
1.1%
5 95
 
0.9%
10 78
 
0.8%
8 45
 
0.4%
6 39
 
0.4%
Other values (27) 220
 
2.2%
(Missing) 6365
63.6%
ValueCountFrequency (%)
0 2220
22.2%
1 195
 
1.9%
2 204
 
2.0%
3 203
 
2.0%
4 223
 
2.2%
5 95
 
0.9%
6 39
 
0.4%
7 22
 
0.2%
8 45
 
0.4%
9 20
 
0.2%
ValueCountFrequency (%)
46 1
 
< 0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
39 3
< 0.1%
37 5
0.1%
35 3
< 0.1%
33 5
0.1%
32 1
 
< 0.1%
31 3
< 0.1%
29 1
 
< 0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.4%
Missing6893
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean0.48825233
Minimum0
Maximum41
Zeros2340
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:21:51.351595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4336946
Coefficient of variation (CV)2.9363804
Kurtosis267.80628
Mean0.48825233
Median Absolute Deviation (MAD)0
Skewness11.929442
Sum1517
Variance2.0554801
MonotonicityNot monotonic
2023-12-11T06:21:51.461855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2340
 
23.4%
1 474
 
4.7%
2 112
 
1.1%
3 72
 
0.7%
4 53
 
0.5%
5 32
 
0.3%
6 15
 
0.1%
7 4
 
< 0.1%
41 1
 
< 0.1%
10 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 6893
68.9%
ValueCountFrequency (%)
0 2340
23.4%
1 474
 
4.7%
2 112
 
1.1%
3 72
 
0.7%
4 53
 
0.5%
5 32
 
0.3%
6 15
 
0.1%
7 4
 
< 0.1%
10 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
41 1
 
< 0.1%
29 1
 
< 0.1%
18 1
 
< 0.1%
15 1
 
< 0.1%
10 1
 
< 0.1%
7 4
 
< 0.1%
6 15
 
0.1%
5 32
0.3%
4 53
0.5%
3 72
0.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7632 
0
2368 

Length

Max length4
Median length4
Mean length3.2896
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> 7632
76.3%
0 2368
 
23.7%

Length

2023-12-11T06:21:51.559880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:51.649296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7632
76.3%
0 2368
 
23.7%

노래방실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7632 
0
2368 

Length

Max length4
Median length4
Mean length3.2896
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> 7632
76.3%
0 2368
 
23.7%

Length

2023-12-11T06:21:51.746873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:51.832315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7632
76.3%
0 2368
 
23.7%

청소년실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7632 
0
2368 

Length

Max length4
Median length4
Mean length3.2896
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> 7632
76.3%
0 2368
 
23.7%

Length

2023-12-11T06:21:51.930575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:52.013924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7632
76.3%
0 2368
 
23.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

총게임기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7632 
0
2368 

Length

Max length4
Median length4
Mean length3.2896
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> 7632
76.3%
0 2368
 
23.7%

Length

2023-12-11T06:21:52.110129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:21:52.216118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7632
76.3%
0 2368
 
23.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8326 
일반주거지역
 
424
주거지역
 
369
준주거지역
 
154
준공업지역
 
132
Other values (10)
 
595

Length

Max length6
Median length4
Mean length4.1946
Min length4

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> 8326
83.3%
일반주거지역 424
 
4.2%
주거지역 369
 
3.7%
준주거지역 154
 
1.5%
준공업지역 132
 
1.3%
일반상업지역 105
 
1.1%
중심상업지역 88
 
0.9%
근린상업지역 84
 
0.8%
관리지역 81
 
0.8%
상업지역 65
 
0.7%
Other values (5) 172
 
1.7%

Length

2023-12-11T06:21:52.346974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8326
83.3%
일반주거지역 424
 
4.2%
주거지역 369
 
3.7%
준주거지역 154
 
1.5%
준공업지역 132
 
1.3%
일반상업지역 105
 
1.1%
중심상업지역 88
 
0.9%
근린상업지역 84
 
0.8%
관리지역 81
 
0.8%
상업지역 65
 
0.7%
Other values (5) 172
 
1.7%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명지역구분명
16833용인시책보다20170313<NA>13영업중<NA>070-7766-2592<NA>16851경기도 용인시 수지구 성복*로 ***, ***동 ***호 (성복동, 성동마을엘지빌리지*차)경기도 용인시 수지구 성복동 ***번지 성동마을엘지빌리지*차 ***동 ***호1685137.316825127.071202<NA>206383.52354424022.556955출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21812화성시(주)엔젤악기19880430<NA>13영업중<NA><NA><NA><NA>경기도 화성시 작현길 ** (송산동)경기도 화성시 송산동 ***-***44537037.210476127.016626<NA>201473.891217412017.218383출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5545군포시푸른얼20201209<NA>13영업중<NA><NA><NA>15864경기도 군포시 오금로 **, ***동 **층 ****호 (금정동, 율곡아파트)경기도 군포시 금정동 *** 율곡아파트 ***동 ****호1586437.354957126.932731<NA>193902.939535427994.259117출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21767화성시보부기획20030218<NA>13영업중<NA>227-1664<NA>445891경기도 화성시 봉담읍 진등*길 **-*경기도 화성시 봉담읍 상리 **-*44589137.220165126.94826<NA>195344.386893413154.111523출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6607남양주시강림출판사20120626<NA>13영업중<NA><NA><NA>472811경기도 남양주시 별내면 청학로학교길 **-**, 지층 *호 (청학빌라)경기도 남양주시 별내면 청학리 ***번지 청학빌라 *호47281137.711156127.113818<NA>209971.035057467651.434952출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13439안산시연구출판 책사연20131002<NA>35직권말소20191125<NA><NA>426210경기도 안산시 상록구 건건*길 *, ***호 (건건동, 센타프라자)경기도 안산시 상록구 건건동 ***-*번지 센타프라자 ***호42621037.304395126.902179<NA>191261.406905422502.016894출판사출판인쇄업8<NA>19.8362<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
16026용인시에스씨글로벌 (주)20110909<NA>13영업중<NA><NA><NA>16800경기도 용인시 수지구 샘말로 ** (고기동)경기도 용인시 수지구 고기동 ***1680037.355529127.051108<NA>204467.431612428163.58586출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10151성남시헤리티지 코리아2019-03-05<NA>13영업중<NA><NA><NA>13626경기도 성남시 분당구 미금로**번길 **, ****동 ***호 (구미동, 무지개마을)경기도 성남시 분당구 구미동 *** 무지개마을<NA><NA><NA><NA>210508.7933425917.76789출판사출판인쇄업0<NA>59.9800000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
2707고양시오킬트20221130<NA>13영업중<NA><NA><NA>10209경기도 고양시 일산서구 가좌*로 *-*, 나동 *층 *호 (가좌동)경기도 고양시 일산서구 가좌동 ***-*<NA><NA><NA><NA>175252.65918464804.417652출판사출판인쇄업0<NA>12.000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
2683고양시키키의 시간(kiki in time)2023-04-04<NA>13영업중<NA><NA><NA>10360경기도 고양시 일산서구 강선로 ***, 상가동 ***호 (일산동)경기도 고양시 일산서구 일산동 **** 후곡마을**단지<NA><NA><NA><NA>179672.004062463676.529256출판사출판인쇄업0<NA>10.1200000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수조명시설조도량노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명지역구분명
8539부천시포토하우스20030217<NA>3폐업20030314032-347-7019<NA><NA>경기도 부천시 소사로***번길 **-* (소사본동)경기도 부천시 소사본동 ***-**번지42280937.473488126.792941<NA>181619.443758441287.049934출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4939광주시(주) 마그넷포유20050218<NA>13영업중<NA>031-718-6190<NA><NA>경기도 광주시 오포읍 대명대길 *-**경기도 광주시 오포읍 능평리 ***-*번지46492137.357007127.166322<NA>214668.967774428349.228604출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12265수원시도서출판 세무단기20120626<NA>15전출20140828<NA><NA>442835경기도 수원시 팔달구 효원로***번길 **-**, ***동 ***호 (인계동, 동양파라곤오피스텔)경기도 수원시 팔달구 인계동 ****-** 동양파라곤오피스텔 ***동 ***호44283537.258093127.033463<NA>202897.835417350.4출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9117성남시도서출판 홀수20140709<NA>13영업중<NA><NA><NA>463410경기도 성남시 분당구 운중로***번길 **, ***호 (판교동)경기도 성남시 분당구 판교동 ***-*번지 ***호46341037.390669127.09033<NA>207933.25594432076.783886출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15430여주시흙한줌2023-03-29<NA>13영업중<NA>031-556-1100<NA>12613경기도 여주시 신륵로 *** (천송동)경기도 여주시 천송동 **-*<NA><NA><NA><NA>259528.981689422663.78224출판사출판인쇄업0<NA>39.010000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
18948파주시주식회사 드림포트20120913<NA>13영업중<NA><NA><NA>413863경기도 파주시 파주읍 성현안길 *경기도 파주시 파주읍 향양리 ***-*번지41386337.855023126.810373<NA>183246.874226483628.605266출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15875용인시재유 주식회사20220927<NA>13영업중<NA><NA><NA>16875경기도 용인시 수지구 현암로 **, 재성프라자 ***-*호 (죽전동)경기도 용인시 수지구 죽전동 ****-* 재성프라자 ***-*호<NA><NA><NA><NA>210569.448888425553.78111출판사출판인쇄업0<NA>0.000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
11154수원시주식회사 타이거매스코리아20160830<NA>13영업중<NA>031-206-0810<NA>16705경기도 수원시 영통구 반달로 **, *층 (영통동)경기도 수원시 영통구 영통동 ****-*번지 *층1670537.252141127.078413<NA>206883.0416696.0출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17919의정부시도서출판 하린20141212<NA>3폐업20210105<NA><NA>480854경기도 의정부시 망월로 *-* (호원동)경기도 의정부시 호원동 ***-**48085437.708818127.047148<NA>204089.081013467376.435956출판사출판인쇄업<NA><NA>79.19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18157파주시다정한비2023-08-07<NA>13영업중<NA><NA><NA>10908경기도 파주시 소리천로 **, 유은타워*차 *층 ***-**호 (야당동)경기도 파주시 야당동 **** 유은타워*차<NA><NA><NA><NA>178916.502502468114.926545출판사출판인쇄업0<NA>0.000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명문화사업자구분명총층수주변환경명시설면적(㎡)지상층수지하층수조명시설조도량노래방실수청소년실수총게임기수지역구분명# duplicates
1광명시공란20031103<NA>3폐업20031103<NA><NA><NA>경기도 광명시 가학동42307037.432245126.855797<NA><NA>출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40
0고양시곤옥20180726<NA>13영업중<NA><NA>10219경기도 고양시 일산서구 대화*로 **, ***동 ***호 (대화동, 대화마을*단지아파트)경기도 고양시 일산서구 대화동 ****번지 대화마을*단지아파트1021937.671151126.729817176099.632256463300.389067출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역2
2용인시도서출판 The 공감20130725<NA>13영업중<NA>031-205-131917106경기도 용인시 기흥구 서천동로**번길 *-* (서천동)경기도 용인시 기흥구 서천동 ***-**번지1710637.238324127.077137206777.854966415169.446026출판사출판인쇄업<NA>기타<NA><NA><NA><NA><NA><NA><NA>근린상업지역2
3파주시도서출판 마리오네트20150319<NA>13영업중<NA><NA>10871경기도 파주시 청암로 **, ***동동 ***호 (목동동, 산내마을*단지)경기도 파주시 목동동 ***-** 산내마을*단지<NA><NA><NA>176920.697678469952.955262출판사출판인쇄업0<NA>0.0000000<NA>2