Overview

Dataset statistics

Number of variables56
Number of observations567
Missing cells15834
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory271.4 KiB
Average record size in memory490.2 B

Variable types

Categorical17
Text7
DateTime3
Unsupported25
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17649/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (98.1%)Imbalance
영업상태코드 is highly imbalanced (55.6%)Imbalance
영업상태명 is highly imbalanced (55.6%)Imbalance
상세영업상태코드 is highly imbalanced (55.6%)Imbalance
상세영업상태명 is highly imbalanced (55.6%)Imbalance
통로너비 is highly imbalanced (84.2%)Imbalance
조명시설조도 is highly imbalanced (84.2%)Imbalance
노래방실수 is highly imbalanced (84.2%)Imbalance
청소년실수 is highly imbalanced (84.2%)Imbalance
총게임기수 is highly imbalanced (84.2%)Imbalance
폐업일자 has 450 (79.4%) missing valuesMissing
휴업시작일자 has 567 (100.0%) missing valuesMissing
휴업종료일자 has 567 (100.0%) missing valuesMissing
재개업일자 has 567 (100.0%) missing valuesMissing
전화번호 has 372 (65.6%) missing valuesMissing
소재지면적 has 567 (100.0%) missing valuesMissing
소재지우편번호 has 555 (97.9%) missing valuesMissing
도로명우편번호 has 126 (22.2%) missing valuesMissing
업태구분명 has 567 (100.0%) missing valuesMissing
문화사업자구분명 has 567 (100.0%) missing valuesMissing
주변환경명 has 567 (100.0%) missing valuesMissing
제작취급품목내용 has 567 (100.0%) missing valuesMissing
건물용도명 has 567 (100.0%) missing valuesMissing
비상계단여부 has 567 (100.0%) missing valuesMissing
비상구여부 has 567 (100.0%) missing valuesMissing
자동환기여부 has 567 (100.0%) missing valuesMissing
청소년실여부 has 567 (100.0%) missing valuesMissing
특수조명여부 has 567 (100.0%) missing valuesMissing
방음시설여부 has 567 (100.0%) missing valuesMissing
비디오재생기명 has 567 (100.0%) missing valuesMissing
조명시설유무 has 567 (100.0%) missing valuesMissing
음향시설여부 has 567 (100.0%) missing valuesMissing
편의시설여부 has 567 (100.0%) missing valuesMissing
소방시설여부 has 567 (100.0%) missing valuesMissing
기존게임업외업종명 has 567 (100.0%) missing valuesMissing
제공게임물명 has 567 (100.0%) missing valuesMissing
공연장형태구분명 has 567 (100.0%) missing valuesMissing
품목명 has 567 (100.0%) missing valuesMissing
최초등록시점 has 153 (27.0%) missing valuesMissing
지역구분명 has 567 (100.0%) missing valuesMissing
최초등록시점 is highly skewed (γ1 = -20.27523914)Skewed
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:24:37.712073
Analysis finished2024-04-29 19:24:38.773106
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
3220000
567 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 567
100.0%

Length

2024-04-30T04:24:38.834261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:38.908804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 567
100.0%

관리번호
Text

UNIQUE 

Distinct567
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-04-30T04:24:39.045612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11340
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique567 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032001000001
2nd rowCDFF5211032002000001
3rd rowCDFF5211032004000002
4th rowCDFF5211032004000004
5th rowCDFF5211032006000001
ValueCountFrequency (%)
cdff5211032001000001 1
 
0.2%
cdff5211032018000030 1
 
0.2%
cdff5211032018000032 1
 
0.2%
cdff5211032018000033 1
 
0.2%
cdff5211032018000034 1
 
0.2%
cdff5211032018000035 1
 
0.2%
cdff5211032018000037 1
 
0.2%
cdff5211032018000038 1
 
0.2%
cdff5211032018000031 1
 
0.2%
cdff5211032018000008 1
 
0.2%
Other values (557) 557
98.2%
2024-04-30T04:24:39.331916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3762
33.2%
1 1713
15.1%
2 1550
13.7%
F 1134
 
10.0%
3 804
 
7.1%
5 656
 
5.8%
C 567
 
5.0%
D 567
 
5.0%
4 147
 
1.3%
9 125
 
1.1%
Other values (3) 315
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9072
80.0%
Uppercase Letter 2268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3762
41.5%
1 1713
18.9%
2 1550
17.1%
3 804
 
8.9%
5 656
 
7.2%
4 147
 
1.6%
9 125
 
1.4%
7 115
 
1.3%
8 110
 
1.2%
6 90
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 1134
50.0%
C 567
25.0%
D 567
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9072
80.0%
Latin 2268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3762
41.5%
1 1713
18.9%
2 1550
17.1%
3 804
 
8.9%
5 656
 
7.2%
4 147
 
1.6%
9 125
 
1.4%
7 115
 
1.3%
8 110
 
1.2%
6 90
 
1.0%
Latin
ValueCountFrequency (%)
F 1134
50.0%
C 567
25.0%
D 567
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3762
33.2%
1 1713
15.1%
2 1550
13.7%
F 1134
 
10.0%
3 804
 
7.1%
5 656
 
5.8%
C 567
 
5.0%
D 567
 
5.0%
4 147
 
1.3%
9 125
 
1.1%
Other values (3) 315
 
2.8%
Distinct504
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-04-30T04:24:39.596961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.345679
Min length8

Characters and Unicode

Total characters4732
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

Unique450 ?
Unique (%)79.4%

Sample

1st row20011122
2nd row2002-06-14
3rd row20040611
4th row2004-11-10
5th row20060105
ValueCountFrequency (%)
20090211 4
 
0.7%
2023-03-31 3
 
0.5%
2018-08-07 3
 
0.5%
20081219 3
 
0.5%
20090423 3
 
0.5%
20110114 3
 
0.5%
20070716 3
 
0.5%
20090320 3
 
0.5%
20180403 2
 
0.4%
20090130 2
 
0.4%
Other values (494) 538
94.9%
2024-04-30T04:24:40.018514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1441
30.5%
2 1103
23.3%
1 855
18.1%
3 208
 
4.4%
- 196
 
4.1%
9 168
 
3.6%
4 167
 
3.5%
6 159
 
3.4%
8 156
 
3.3%
7 151
 
3.2%
Other values (2) 128
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4535
95.8%
Dash Punctuation 196
 
4.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1441
31.8%
2 1103
24.3%
1 855
18.9%
3 208
 
4.6%
9 168
 
3.7%
4 167
 
3.7%
6 159
 
3.5%
8 156
 
3.4%
7 151
 
3.3%
5 127
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1441
30.5%
2 1103
23.3%
1 855
18.1%
3 208
 
4.4%
- 196
 
4.1%
9 168
 
3.6%
4 167
 
3.5%
6 159
 
3.4%
8 156
 
3.3%
7 151
 
3.2%
Other values (2) 128
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1441
30.5%
2 1103
23.3%
1 855
18.1%
3 208
 
4.4%
- 196
 
4.1%
9 168
 
3.6%
4 167
 
3.5%
6 159
 
3.4%
8 156
 
3.3%
7 151
 
3.2%
Other values (2) 128
 
2.7%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
566 
20190119
 
1

Length

Max length8
Median length4
Mean length4.0070547
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 566
99.8%
20190119 1
 
0.2%

Length

2024-04-30T04:24:40.149688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:40.230303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 566
99.8%
20190119 1
 
0.2%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
1
448 
3
99 
5
 
19
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 448
79.0%
3 99
 
17.5%
5 19
 
3.4%
4 1
 
0.2%

Length

2024-04-30T04:24:40.307693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:40.385523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 448
79.0%
3 99
 
17.5%
5 19
 
3.4%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업/정상
448 
폐업
99 
제외/삭제/전출
 
19
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5925926
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 448
79.0%
폐업 99
 
17.5%
제외/삭제/전출 19
 
3.4%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-30T04:24:40.473833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:40.554847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 448
79.0%
폐업 99
 
17.5%
제외/삭제/전출 19
 
3.4%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
13
448 
3
99 
15
 
19
31
 
1

Length

Max length2
Median length2
Mean length1.8253968
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 448
79.0%
3 99
 
17.5%
15 19
 
3.4%
31 1
 
0.2%

Length

2024-04-30T04:24:40.662196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:40.762654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 448
79.0%
3 99
 
17.5%
15 19
 
3.4%
31 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업중
448 
폐업
99 
전출
 
19
등록취소
 
1

Length

Max length4
Median length3
Mean length2.7936508
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 448
79.0%
폐업 99
 
17.5%
전출 19
 
3.4%
등록취소 1
 
0.2%

Length

2024-04-30T04:24:40.880934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:40.976488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 448
79.0%
폐업 99
 
17.5%
전출 19
 
3.4%
등록취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct107
Distinct (%)91.5%
Missing450
Missing (%)79.4%
Memory size4.6 KiB
Minimum2010-01-26 00:00:00
Maximum2024-02-21 00:00:00
2024-04-30T04:24:41.067369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:41.172984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

전화번호
Text

MISSING 

Distinct177
Distinct (%)90.8%
Missing372
Missing (%)65.6%
Memory size4.6 KiB
2024-04-30T04:24:41.387119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.282051
Min length8

Characters and Unicode

Total characters2200
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

Unique163 ?
Unique (%)83.6%

Sample

1st row6497-5132
2nd row02-3430-2709
3rd row02-3458-2230
4th row02-545-0417
5th row3014-6347
ValueCountFrequency (%)
02-566-7901 3
 
1.5%
02-3490-9300 3
 
1.5%
070-8670-2618 3
 
1.5%
02-324-0469 3
 
1.5%
02-3445-1393 2
 
1.0%
511-5461 2
 
1.0%
02-540-2026 2
 
1.0%
02-3446-4120 2
 
1.0%
070-8225-9369 2
 
1.0%
02-544-8308 2
 
1.0%
Other values (167) 171
87.7%
2024-04-30T04:24:41.703891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 405
18.4%
- 349
15.9%
2 256
11.6%
4 203
9.2%
5 191
8.7%
7 161
 
7.3%
3 153
 
7.0%
1 139
 
6.3%
6 137
 
6.2%
8 108
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1851
84.1%
Dash Punctuation 349
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 405
21.9%
2 256
13.8%
4 203
11.0%
5 191
10.3%
7 161
 
8.7%
3 153
 
8.3%
1 139
 
7.5%
6 137
 
7.4%
8 108
 
5.8%
9 98
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 405
18.4%
- 349
15.9%
2 256
11.6%
4 203
9.2%
5 191
8.7%
7 161
 
7.3%
3 153
 
7.0%
1 139
 
6.3%
6 137
 
6.2%
8 108
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 405
18.4%
- 349
15.9%
2 256
11.6%
4 203
9.2%
5 191
8.7%
7 161
 
7.3%
3 153
 
7.0%
1 139
 
6.3%
6 137
 
6.2%
8 108
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing555
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean135415.83
Minimum135011
Maximum135907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T04:24:41.830197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135011
5-th percentile135011
Q1135095.25
median135120
Q3135881
95-th percentile135897.65
Maximum135907
Range896
Interquartile range (IQR)785.75

Descriptive statistics

Standard deviation416.20468
Coefficient of variation (CV)0.0030735304
Kurtosis-2.2300112
Mean135415.83
Median Absolute Deviation (MAD)109
Skewness0.36229894
Sum1624990
Variance173226.33
MonotonicityNot monotonic
2024-04-30T04:24:41.919992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
135120 3
 
0.5%
135011 2
 
0.4%
135881 2
 
0.4%
135868 1
 
0.2%
135100 1
 
0.2%
135081 1
 
0.2%
135890 1
 
0.2%
135907 1
 
0.2%
(Missing) 555
97.9%
ValueCountFrequency (%)
135011 2
0.4%
135081 1
 
0.2%
135100 1
 
0.2%
135120 3
0.5%
135868 1
 
0.2%
135881 2
0.4%
135890 1
 
0.2%
135907 1
 
0.2%
ValueCountFrequency (%)
135907 1
 
0.2%
135890 1
 
0.2%
135881 2
0.4%
135868 1
 
0.2%
135120 3
0.5%
135100 1
 
0.2%
135081 1
 
0.2%
135011 2
0.4%
Distinct375
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-04-30T04:24:42.181999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length25.761905
Min length16

Characters and Unicode

Total characters14607
Distinct characters278
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)53.6%

Sample

1st row서울특별시 강남구 역삼동 ***번지
2nd row서울특별시 강남구 논현동 **-*
3rd row서울특별시 강남구 신사동 ***-*번지 계진빌딩 *층
4th row서울특별시 강남구 역삼동 ***-* **층
5th row서울특별시 강남구 논현동 ***-**번지 용창빌딩*층
ValueCountFrequency (%)
서울특별시 567
20.6%
강남구 566
20.6%
번지 352
12.8%
220
 
8.0%
논현동 198
 
7.2%
역삼동 101
 
3.7%
신사동 89
 
3.2%
75
 
2.7%
삼성동 73
 
2.7%
60
 
2.2%
Other values (277) 453
16.4%
2024-04-30T04:24:42.581783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2799
19.2%
2571
17.6%
590
 
4.0%
579
 
4.0%
579
 
4.0%
577
 
4.0%
571
 
3.9%
568
 
3.9%
568
 
3.9%
567
 
3.9%
Other values (268) 4638
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8592
58.8%
Other Punctuation 2809
 
19.2%
Space Separator 2571
 
17.6%
Dash Punctuation 519
 
3.6%
Uppercase Letter 89
 
0.6%
Decimal Number 15
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
590
 
6.9%
579
 
6.7%
579
 
6.7%
577
 
6.7%
571
 
6.6%
568
 
6.6%
568
 
6.6%
567
 
6.6%
567
 
6.6%
373
 
4.3%
Other values (229) 3053
35.5%
Uppercase Letter
ValueCountFrequency (%)
E 12
13.5%
A 10
11.2%
T 8
 
9.0%
O 7
 
7.9%
R 6
 
6.7%
W 6
 
6.7%
L 6
 
6.7%
B 4
 
4.5%
S 4
 
4.5%
H 4
 
4.5%
Other values (10) 22
24.7%
Decimal Number
ValueCountFrequency (%)
8 5
33.3%
3 2
 
13.3%
4 2
 
13.3%
7 2
 
13.3%
2 1
 
6.7%
1 1
 
6.7%
9 1
 
6.7%
6 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 2799
99.6%
, 7
 
0.2%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
2571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8592
58.8%
Common 5922
40.5%
Latin 93
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
590
 
6.9%
579
 
6.7%
579
 
6.7%
577
 
6.7%
571
 
6.6%
568
 
6.6%
568
 
6.6%
567
 
6.6%
567
 
6.6%
373
 
4.3%
Other values (229) 3053
35.5%
Latin
ValueCountFrequency (%)
E 12
12.9%
A 10
 
10.8%
T 8
 
8.6%
O 7
 
7.5%
R 6
 
6.5%
W 6
 
6.5%
L 6
 
6.5%
B 4
 
4.3%
S 4
 
4.3%
H 4
 
4.3%
Other values (14) 26
28.0%
Common
ValueCountFrequency (%)
* 2799
47.3%
2571
43.4%
- 519
 
8.8%
, 7
 
0.1%
8 5
 
0.1%
( 4
 
0.1%
) 4
 
0.1%
. 3
 
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
Other values (5) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8592
58.8%
ASCII 6015
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2799
46.5%
2571
42.7%
- 519
 
8.6%
E 12
 
0.2%
A 10
 
0.2%
T 8
 
0.1%
, 7
 
0.1%
O 7
 
0.1%
R 6
 
0.1%
W 6
 
0.1%
Other values (29) 70
 
1.2%
Hangul
ValueCountFrequency (%)
590
 
6.9%
579
 
6.7%
579
 
6.7%
577
 
6.7%
571
 
6.6%
568
 
6.6%
568
 
6.6%
567
 
6.6%
567
 
6.6%
373
 
4.3%
Other values (229) 3053
35.5%
Distinct481
Distinct (%)85.3%
Missing3
Missing (%)0.5%
Memory size4.6 KiB
2024-04-30T04:24:42.788627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length33.195035
Min length22

Characters and Unicode

Total characters18722
Distinct characters280
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique426 ?
Unique (%)75.5%

Sample

1st row서울특별시 강남구 테헤란로 ***, **층 (역삼동, 동우빌딩)
2nd row서울특별시 강남구 도산대로 ***, *,*,*층 (논현동, ***빌딩)
3rd row서울특별시 강남구 논현로***길 ** (신사동,계진빌딩 *층)
4th row서울특별시 강남구 테헤란로 ***, **층 (역삼동)
5th row서울특별시 강남구 학동로**길 ** (논현동,월드빌 ***호)
ValueCountFrequency (%)
567
16.0%
서울특별시 564
15.9%
강남구 563
15.9%
256
 
7.2%
155
 
4.4%
논현동 142
 
4.0%
역삼동 92
 
2.6%
신사동 79
 
2.2%
삼성동 63
 
1.8%
논현로***길 49
 
1.4%
Other values (359) 1013
28.6%
2024-04-30T04:24:43.122183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3159
16.9%
3094
16.5%
666
 
3.6%
619
 
3.3%
619
 
3.3%
594
 
3.2%
575
 
3.1%
, 574
 
3.1%
570
 
3.0%
568
 
3.0%
Other values (270) 7684
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10569
56.5%
Other Punctuation 3736
 
20.0%
Space Separator 3094
 
16.5%
Open Punctuation 567
 
3.0%
Close Punctuation 567
 
3.0%
Uppercase Letter 96
 
0.5%
Dash Punctuation 62
 
0.3%
Decimal Number 22
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
666
 
6.3%
619
 
5.9%
619
 
5.9%
594
 
5.6%
575
 
5.4%
570
 
5.4%
568
 
5.4%
564
 
5.3%
564
 
5.3%
564
 
5.3%
Other values (229) 4666
44.1%
Uppercase Letter
ValueCountFrequency (%)
E 13
13.5%
T 9
9.4%
A 8
 
8.3%
L 7
 
7.3%
S 7
 
7.3%
B 7
 
7.3%
O 7
 
7.3%
R 6
 
6.2%
W 6
 
6.2%
P 5
 
5.2%
Other values (10) 21
21.9%
Decimal Number
ValueCountFrequency (%)
1 6
27.3%
2 4
18.2%
0 3
13.6%
4 2
 
9.1%
6 2
 
9.1%
7 2
 
9.1%
3 2
 
9.1%
8 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
o 1
20.0%
w 1
20.0%
e 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 3159
84.6%
, 574
 
15.4%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
3094
100.0%
Open Punctuation
ValueCountFrequency (%)
( 567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10569
56.5%
Common 8052
43.0%
Latin 101
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
666
 
6.3%
619
 
5.9%
619
 
5.9%
594
 
5.6%
575
 
5.4%
570
 
5.4%
568
 
5.4%
564
 
5.3%
564
 
5.3%
564
 
5.3%
Other values (229) 4666
44.1%
Latin
ValueCountFrequency (%)
E 13
12.9%
T 9
 
8.9%
A 8
 
7.9%
L 7
 
6.9%
S 7
 
6.9%
B 7
 
6.9%
O 7
 
6.9%
R 6
 
5.9%
W 6
 
5.9%
P 5
 
5.0%
Other values (15) 26
25.7%
Common
ValueCountFrequency (%)
* 3159
39.2%
3094
38.4%
, 574
 
7.1%
( 567
 
7.0%
) 567
 
7.0%
- 62
 
0.8%
1 6
 
0.1%
2 4
 
< 0.1%
~ 4
 
< 0.1%
0 3
 
< 0.1%
Other values (6) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10569
56.5%
ASCII 8153
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3159
38.7%
3094
37.9%
, 574
 
7.0%
( 567
 
7.0%
) 567
 
7.0%
- 62
 
0.8%
E 13
 
0.2%
T 9
 
0.1%
A 8
 
0.1%
L 7
 
0.1%
Other values (31) 93
 
1.1%
Hangul
ValueCountFrequency (%)
666
 
6.3%
619
 
5.9%
619
 
5.9%
594
 
5.6%
575
 
5.4%
570
 
5.4%
568
 
5.4%
564
 
5.3%
564
 
5.3%
564
 
5.3%
Other values (229) 4666
44.1%

도로명우편번호
Text

MISSING 

Distinct214
Distinct (%)48.5%
Missing126
Missing (%)22.2%
Memory size4.6 KiB
2024-04-30T04:24:43.453305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2879819
Min length5

Characters and Unicode

Total characters2332
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

Unique119 ?
Unique (%)27.0%

Sample

1st row06212
2nd row06054
3rd row135-924
4th row135728
5th row06100
ValueCountFrequency (%)
06097 10
 
2.3%
06103 9
 
2.0%
06017 8
 
1.8%
06040 8
 
1.8%
06036 7
 
1.6%
135120 7
 
1.6%
06039 7
 
1.6%
06151 6
 
1.4%
06110 6
 
1.4%
06062 6
 
1.4%
Other values (204) 367
83.2%
2024-04-30T04:24:43.891348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 593
25.4%
6 386
16.6%
1 348
14.9%
3 230
 
9.9%
5 210
 
9.0%
2 152
 
6.5%
9 127
 
5.4%
8 119
 
5.1%
4 92
 
3.9%
7 71
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2328
99.8%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 593
25.5%
6 386
16.6%
1 348
14.9%
3 230
 
9.9%
5 210
 
9.0%
2 152
 
6.5%
9 127
 
5.5%
8 119
 
5.1%
4 92
 
4.0%
7 71
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2332
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 593
25.4%
6 386
16.6%
1 348
14.9%
3 230
 
9.9%
5 210
 
9.0%
2 152
 
6.5%
9 127
 
5.4%
8 119
 
5.1%
4 92
 
3.9%
7 71
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 593
25.4%
6 386
16.6%
1 348
14.9%
3 230
 
9.9%
5 210
 
9.0%
2 152
 
6.5%
9 127
 
5.4%
8 119
 
5.1%
4 92
 
3.9%
7 71
 
3.0%
Distinct561
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-04-30T04:24:44.115894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length23
Mean length9.5555556
Min length2

Characters and Unicode

Total characters5418
Distinct characters423
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique555 ?
Unique (%)97.9%

Sample

1st row(주)에그필름
2nd row주식회사 쇼박스
3rd row(주)스폰지이엔티
4th row워너브러더스 <코리아>㈜
5th row㈜얼라이엔터테인먼트
ValueCountFrequency (%)
주식회사 114
 
15.7%
유한회사 8
 
1.1%
pictures 4
 
0.6%
영화사 3
 
0.4%
주)로카 2
 
0.3%
지점 2
 
0.3%
미디어 2
 
0.3%
블라드스튜디오 2
 
0.3%
㈜영화사 2
 
0.3%
주)씨맥스커뮤니케이션즈 2
 
0.3%
Other values (582) 586
80.6%
2024-04-30T04:24:44.438797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
417
 
7.7%
( 316
 
5.8%
) 316
 
5.8%
247
 
4.6%
196
 
3.6%
162
 
3.0%
153
 
2.8%
143
 
2.6%
126
 
2.3%
118
 
2.2%
Other values (413) 3224
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4427
81.7%
Open Punctuation 316
 
5.8%
Close Punctuation 316
 
5.8%
Space Separator 162
 
3.0%
Other Symbol 79
 
1.5%
Lowercase Letter 63
 
1.2%
Uppercase Letter 45
 
0.8%
Decimal Number 5
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
417
 
9.4%
247
 
5.6%
196
 
4.4%
153
 
3.5%
143
 
3.2%
126
 
2.8%
118
 
2.7%
118
 
2.7%
110
 
2.5%
99
 
2.2%
Other values (366) 2700
61.0%
Uppercase Letter
ValueCountFrequency (%)
P 6
13.3%
S 4
 
8.9%
E 4
 
8.9%
C 4
 
8.9%
L 4
 
8.9%
A 3
 
6.7%
O 3
 
6.7%
D 2
 
4.4%
T 2
 
4.4%
H 2
 
4.4%
Other values (9) 11
24.4%
Lowercase Letter
ValueCountFrequency (%)
t 8
12.7%
c 8
12.7%
r 7
11.1%
e 6
9.5%
s 6
9.5%
u 6
9.5%
o 6
9.5%
i 5
7.9%
y 3
 
4.8%
n 2
 
3.2%
Other values (5) 6
9.5%
Decimal Number
ValueCountFrequency (%)
8 1
20.0%
4 1
20.0%
2 1
20.0%
5 1
20.0%
6 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Other Symbol
ValueCountFrequency (%)
79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4506
83.2%
Common 804
 
14.8%
Latin 108
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
417
 
9.3%
247
 
5.5%
196
 
4.3%
153
 
3.4%
143
 
3.2%
126
 
2.8%
118
 
2.6%
118
 
2.6%
110
 
2.4%
99
 
2.2%
Other values (367) 2779
61.7%
Latin
ValueCountFrequency (%)
t 8
 
7.4%
c 8
 
7.4%
r 7
 
6.5%
e 6
 
5.6%
s 6
 
5.6%
u 6
 
5.6%
P 6
 
5.6%
o 6
 
5.6%
i 5
 
4.6%
S 4
 
3.7%
Other values (24) 46
42.6%
Common
ValueCountFrequency (%)
( 316
39.3%
) 316
39.3%
162
20.1%
. 2
 
0.2%
8 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
& 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4427
81.7%
ASCII 912
 
16.8%
None 79
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
417
 
9.4%
247
 
5.6%
196
 
4.4%
153
 
3.5%
143
 
3.2%
126
 
2.8%
118
 
2.7%
118
 
2.7%
110
 
2.5%
99
 
2.2%
Other values (366) 2700
61.0%
ASCII
ValueCountFrequency (%)
( 316
34.6%
) 316
34.6%
162
17.8%
t 8
 
0.9%
c 8
 
0.9%
r 7
 
0.8%
e 6
 
0.7%
s 6
 
0.7%
u 6
 
0.7%
P 6
 
0.7%
Other values (36) 71
 
7.8%
None
ValueCountFrequency (%)
79
100.0%
Distinct510
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2010-04-26 14:06:22
Maximum2024-04-25 09:28:05
2024-04-30T04:24:44.564343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:44.676841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
I
413 
U
154 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 413
72.8%
U 154
 
27.2%

Length

2024-04-30T04:24:44.787372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:44.870168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 413
72.8%
u 154
 
27.2%
Distinct233
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:24:44.956917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:24:45.246106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct440
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203363.37
Minimum201558.23
Maximum209634.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T04:24:45.358802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201558.23
5-th percentile201876.76
Q1202494.43
median203131.43
Q3204079.71
95-th percentile205360.94
Maximum209634.07
Range8075.8418
Interquartile range (IQR)1585.2764

Descriptive statistics

Standard deviation1171.1011
Coefficient of variation (CV)0.0057586627
Kurtosis3.2876579
Mean203363.37
Median Absolute Deviation (MAD)747.0428
Skewness1.2564545
Sum1.1530703 × 108
Variance1371477.7
MonotonicityNot monotonic
2024-04-30T04:24:45.501044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202233.376703439 5
 
0.9%
202494.429240138 5
 
0.9%
202007.703068864 4
 
0.7%
202072.176572517 4
 
0.7%
204518.8799802 4
 
0.7%
204437.7 4
 
0.7%
203163.858659655 4
 
0.7%
204488.365267013 4
 
0.7%
201876.763775315 4
 
0.7%
204649.22 4
 
0.7%
Other values (430) 525
92.6%
ValueCountFrequency (%)
201558.22853571 1
0.2%
201609.62721933 1
0.2%
201639.245453617 1
0.2%
201657.313312924 1
0.2%
201697.738228314 1
0.2%
201700.66912518 1
0.2%
201702.181367055 1
0.2%
201716.685551826 2
0.4%
201716.723205531 1
0.2%
201724.249541331 1
0.2%
ValueCountFrequency (%)
209634.070312153 1
0.2%
209253.71833848 1
0.2%
209055.480464368 1
0.2%
208134.995262446 1
0.2%
207950.137458581 1
0.2%
207584.775824565 1
0.2%
206581.787067095 1
0.2%
205902.133138153 1
0.2%
205808.405306351 2
0.4%
205793.331490607 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct440
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445426.64
Minimum440603.37
Maximum447304.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T04:24:45.633352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440603.37
5-th percentile443159.03
Q1444768.09
median445616.72
Q3446307.51
95-th percentile446852.65
Maximum447304.21
Range6700.8424
Interquartile range (IQR)1539.4186

Descriptive statistics

Standard deviation1160.1376
Coefficient of variation (CV)0.0026045538
Kurtosis0.94793877
Mean445426.64
Median Absolute Deviation (MAD)757.67812
Skewness-0.96969328
Sum2.525569 × 108
Variance1345919.3
MonotonicityNot monotonic
2024-04-30T04:24:45.749979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446247.902496745 5
 
0.9%
445871.873786171 5
 
0.9%
446330.898646422 4
 
0.7%
445585.498649988 4
 
0.7%
442703.584823804 4
 
0.7%
446211.640000001 4
 
0.7%
445314.417153662 4
 
0.7%
444832.873128843 4
 
0.7%
446752.450886565 4
 
0.7%
444896.875 4
 
0.7%
Other values (430) 525
92.6%
ValueCountFrequency (%)
440603.367544216 1
0.2%
441344.950914234 1
0.2%
441349.165858561 1
0.2%
441388.150210753 1
0.2%
441564.495059317 1
0.2%
441836.032714886 1
0.2%
442278.615 2
0.4%
442437.407528086 1
0.2%
442456.779128474 1
0.2%
442526.253635088 1
0.2%
ValueCountFrequency (%)
447304.209942729 1
0.2%
447246.049049333 1
0.2%
447235.795267081 1
0.2%
447216.483268897 1
0.2%
447204.535632346 1
0.2%
447173.224016045 1
0.2%
447158.279735475 2
0.4%
447146.304294258 1
0.2%
447109.497307684 1
0.2%
447109.471473046 1
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영화배급업
414 
<NA>
153 

Length

Max length5
Median length5
Mean length4.7301587
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 414
73.0%
<NA> 153
 
27.0%

Length

2024-04-30T04:24:45.855186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:45.947807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 414
73.0%
na 153
 
27.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

총층수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
485 
0
82 

Length

Max length4
Median length4
Mean length3.5661376
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 485
85.5%
0 82
 
14.5%

Length

2024-04-30T04:24:46.051503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:46.131124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
85.5%
0 82
 
14.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
485 
0
82 

Length

Max length4
Median length4
Mean length3.5661376
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 485
85.5%
0 82
 
14.5%

Length

2024-04-30T04:24:46.217581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:46.299091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
85.5%
0 82
 
14.5%

지상층수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
485 
0
82 

Length

Max length4
Median length4
Mean length3.5661376
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 485
85.5%
0 82
 
14.5%

Length

2024-04-30T04:24:46.388541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:46.483242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
85.5%
0 82
 
14.5%

지하층수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
485 
0
82 

Length

Max length4
Median length4
Mean length3.5661376
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 485
85.5%
0 82
 
14.5%

Length

2024-04-30T04:24:46.564968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:46.650746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
85.5%
0 82
 
14.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
554 
0
 
13

Length

Max length4
Median length4
Mean length3.9312169
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> 554
97.7%
0 13
 
2.3%

Length

2024-04-30T04:24:46.756113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:46.845759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 554
97.7%
0 13
 
2.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
554 
0
 
13

Length

Max length4
Median length4
Mean length3.9312169
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> 554
97.7%
0 13
 
2.3%

Length

2024-04-30T04:24:46.929155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:47.004863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 554
97.7%
0 13
 
2.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
554 
0
 
13

Length

Max length4
Median length4
Mean length3.9312169
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> 554
97.7%
0 13
 
2.3%

Length

2024-04-30T04:24:47.087554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:47.175462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 554
97.7%
0 13
 
2.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
554 
0
 
13

Length

Max length4
Median length4
Mean length3.9312169
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> 554
97.7%
0 13
 
2.3%

Length

2024-04-30T04:24:47.266297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:47.346405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 554
97.7%
0 13
 
2.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
554 
0
 
13

Length

Max length4
Median length4
Mean length3.9312169
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> 554
97.7%
0 13
 
2.3%

Length

2024-04-30T04:24:47.435692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:24:47.516499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 554
97.7%
0 13
 
2.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

최초등록시점
Real number (ℝ)

MISSING  SKEWED 

Distinct368
Distinct (%)88.9%
Missing153
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean20087688
Minimum2007073
Maximum20220125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-30T04:24:47.602703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007073
5-th percentile20070316
Q120090848
median20130611
Q320161188
95-th percentile20210148
Maximum20220125
Range18213052
Interquartile range (IQR)70339.75

Descriptive statistics

Standard deviation891809.51
Coefficient of variation (CV)0.044395828
Kurtosis412.05039
Mean20087688
Median Absolute Deviation (MAD)39506.5
Skewness-20.275239
Sum8.3163026 × 109
Variance7.953242 × 1011
MonotonicityNot monotonic
2024-04-30T04:24:47.718934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090211 4
 
0.7%
20081219 3
 
0.5%
20070716 3
 
0.5%
20090423 3
 
0.5%
20090320 3
 
0.5%
20110114 3
 
0.5%
20080515 2
 
0.4%
20130823 2
 
0.4%
20080630 2
 
0.4%
20100311 2
 
0.4%
Other values (358) 387
68.3%
(Missing) 153
 
27.0%
ValueCountFrequency (%)
2007073 1
0.2%
20011122 1
0.2%
20040220 1
0.2%
20040611 1
0.2%
20060105 1
0.2%
20060511 1
0.2%
20061107 1
0.2%
20061109 1
0.2%
20061114 1
0.2%
20061120 1
0.2%
ValueCountFrequency (%)
20220125 1
0.2%
20220121 1
0.2%
20220119 1
0.2%
20220106 1
0.2%
20211116 1
0.2%
20211109 1
0.2%
20210902 1
0.2%
20210809 1
0.2%
20210719 1
0.2%
20210709 1
0.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing567
Missing (%)100.0%
Memory size5.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF521103200100000120011122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***번지서울특별시 강남구 테헤란로 ***, **층 (역삼동, 동우빌딩)06212(주)에그필름2017-02-06 09:29:39I2018-08-31 23:59:59.0<NA>204130.823745444612.149928영화배급업<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><NA><NA><NA>20011122<NA>
13220000CDFF52110320020000012002-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-*서울특별시 강남구 도산대로 ***, *,*,*층 (논현동, ***빌딩)06054주식회사 쇼박스2024-04-03 10:27:52U2023-12-04 00:05:00.0<NA>203064.640171446594.319139<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><NA><NA><NA><NA><NA><NA>
23220000CDFF521103200400000220040611<NA>1영업/정상13영업중<NA><NA><NA><NA>6497-5132<NA><NA>서울특별시 강남구 신사동 ***-*번지 계진빌딩 *층서울특별시 강남구 논현로***길 ** (신사동,계진빌딩 *층)<NA>(주)스폰지이엔티2011-01-27 16:37:32I2018-08-31 23:59:59.0<NA>202584.621595446824.497496영화배급업<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><NA><NA><NA>20040611<NA>
33220000CDFF52110320040000042004-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3430-2709<NA><NA>서울특별시 강남구 역삼동 ***-* **층서울특별시 강남구 테헤란로 ***, **층 (역삼동)135-924워너브러더스 <코리아>㈜2023-05-01 13:28:29U2022-12-05 00:03:00.0<NA>203016.183844444168.205988<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><NA><NA><NA><NA><NA><NA>
43220000CDFF521103200600000120060105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-**번지 용창빌딩*층<NA><NA>㈜얼라이엔터테인먼트2010-04-26 14:06:22I2018-08-31 23:59:59.0<NA>202758.168548445723.425056영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060105<NA>
53220000CDFF521103200600000220061107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**번지 월드빌 ***호서울특별시 강남구 학동로**길 ** (논현동,월드빌 ***호)<NA>㈜태광기획공간2010-04-26 14:06:23I2018-08-31 23:59:59.0<NA>202383.443334445805.940562영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061107<NA>
63220000CDFF521103200600000320061109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-**번지 삼성당빌딩*층서울특별시 강남구 선릉로 *** (논현동,삼성당빌딩*층)<NA>네오무비㈜2010-04-26 14:06:23I2018-08-31 23:59:59.0<NA>203409.470108446554.477231영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061109<NA>
73220000CDFF521103200600000420061114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**번지서울특별시 강남구 도산대로**길 ** (논현동)<NA>㈜레몬트리픽쳐스2010-04-26 14:06:23I2018-08-31 23:59:59.0<NA>202150.778782446100.013354영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061114<NA>
83220000CDFF521103200600000520061120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-*번지 내성빌딩*층서울특별시 강남구 논현로***길 ** (논현동,내성빌딩*층)<NA>㈜씨네아이2010-04-26 14:06:23I2018-08-31 23:59:59.0<NA>202077.320731446086.702867영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061120<NA>
93220000CDFF521103200600000620061208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**번지 파크빌 ***호서울특별시 강남구 논현로***길 ** (논현동,파크빌 ***호)<NA>㈜영화사 이슈2010-04-26 14:06:23I2018-08-31 23:59:59.0<NA>202140.827934446006.93728영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061208<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5573220000CDFF52110320240000042020-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 ****-* 희영빌딩서울특별시 강남구 개포로 ***, 희영빌딩 *층 (개포동)06308(주)버뮤다프로젝트2024-01-24 18:01:35I2023-11-30 22:06:00.0<NA>204188.860781441836.032715<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><NA><NA><NA><NA><NA><NA>
5583220000CDFF52110320240000052024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-**서울특별시 강남구 논현로***길 **, *,*,*,*층 (신사동)06037주식회사 스튜디오플럼2024-02-20 10:13:39U2023-12-01 22:02:00.0<NA>202315.201582446427.75918<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><NA><NA><NA><NA><NA><NA>
5593220000CDFF52110320240000062024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-** 신일빌딩서울특별시 강남구 테헤란로 ***, 신일빌딩 *층 ****호 (삼성동)06159주식회사 투사이드나인2024-01-29 13:15:12I2023-11-30 21:01:00.0<NA>204649.22444896.875<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><NA><NA><NA><NA><NA><NA>
5603220000CDFF52110320240000072024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 *** 수서타워서울특별시 강남구 광평로**길 *-**, 수서타워 ****호 (수서동)06367다큐플러스2024-02-05 10:23:43I2023-12-02 00:07:00.0<NA>209055.480464442735.704147<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><NA><NA><NA><NA><NA><NA>
5613220000CDFF52110320240000082024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-* 럭스웨이빌딩서울특별시 강남구 선릉로***길 **, 럭스웨이빌딩 *층 (논현동)06056주식회사 지티지그룹2024-02-27 13:46:01I2023-12-01 22:09:00.0<NA>203336.58527446550.941348<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><NA><NA><NA><NA><NA><NA>
5623220000CDFF52110320240000092024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 동경빌딩서울특별시 강남구 테헤란로 ***, 동경빌딩 **층 에스****호 (역삼동)06233주식회사 다큐스토리프로덕션 (Docustory Production Corp.)2024-03-04 20:01:26I2023-12-03 00:06:00.0<NA>202632.445261444024.960364<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><NA><NA><NA><NA><NA><NA>
5633220000CDFF52110320240000102024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-** 은산빌딩서울특별시 강남구 선릉로 ***, 은산빌딩 *층 (논현동)06056페이지원필름 주식회사2024-03-14 14:43:32I2023-12-02 23:06:00.0<NA>203418.40147446579.260434<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><NA><NA><NA><NA><NA><NA>
5643220000CDFF52110320240000112024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-* 영진빌딩서울특별시 강남구 학동로**길 **, 영진빌딩 ***호 (논현동)06051주식회사 소울크레인2024-03-27 17:38:09I2023-12-02 22:09:00.0<NA>202754.885995446142.34108<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><NA><NA><NA><NA><NA><NA>
5653220000CDFF52110320240000122022-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 *** 삼성동 미켈란 ***서울특별시 강남구 영동대로 ***, *층 이***호 (삼성동, 삼성동 미켈란 ***)06083주식회사 영화사 륙2024-04-19 14:00:43I2023-12-03 22:01:00.0<NA>205271.275273445852.638814<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><NA><NA><NA><NA><NA><NA>
5663220000CDFF52110320240000132016-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-** 제이에스타워서울특별시 강남구 테헤란로**길 *, 제이에스타워 (삼성동)06158(주)오렌지옐로우하임2024-04-24 10:40:18I2023-12-03 22:06:00.0<NA>204842.620169445010.636361<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><NA><NA><NA><NA><NA><NA>