Overview

Dataset statistics

Number of variables56
Number of observations42
Missing cells1444
Missing cells (%)61.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.2 KiB
Average record size in memory493.1 B

Variable types

Categorical11
Text6
DateTime2
Unsupported31
Numeric6

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16666/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (83.8%)Imbalance
지상층수 is highly imbalanced (79.6%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 33 (78.6%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 22 (52.4%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 31 (73.8%) missing valuesMissing
도로명주소 has 4 (9.5%) missing valuesMissing
도로명우편번호 has 23 (54.8%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 2 (4.8%) missing valuesMissing
좌표정보(Y) has 2 (4.8%) missing valuesMissing
주변환경명 has 42 (100.0%) missing valuesMissing
제작취급품목내용 has 7 (16.7%) missing valuesMissing
시설면적 has 18 (42.9%) missing valuesMissing
지하층수 has 42 (100.0%) missing valuesMissing
건물용도명 has 42 (100.0%) missing valuesMissing
통로너비 has 42 (100.0%) missing valuesMissing
조명시설조도 has 42 (100.0%) missing valuesMissing
노래방실수 has 42 (100.0%) missing valuesMissing
청소년실수 has 42 (100.0%) missing valuesMissing
비상계단여부 has 42 (100.0%) missing valuesMissing
비상구여부 has 42 (100.0%) missing valuesMissing
자동환기여부 has 42 (100.0%) missing valuesMissing
청소년실여부 has 42 (100.0%) missing valuesMissing
특수조명여부 has 42 (100.0%) missing valuesMissing
방음시설여부 has 42 (100.0%) missing valuesMissing
비디오재생기명 has 42 (100.0%) missing valuesMissing
조명시설유무 has 42 (100.0%) missing valuesMissing
음향시설여부 has 42 (100.0%) missing valuesMissing
편의시설여부 has 42 (100.0%) missing valuesMissing
소방시설여부 has 42 (100.0%) missing valuesMissing
총게임기수 has 42 (100.0%) missing valuesMissing
기존게임업외업종명 has 42 (100.0%) missing valuesMissing
제공게임물명 has 42 (100.0%) missing valuesMissing
공연장형태구분명 has 42 (100.0%) missing valuesMissing
품목명 has 42 (100.0%) missing valuesMissing
최초등록시점 has 42 (100.0%) missing valuesMissing
지역구분명 has 42 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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
최초등록시점 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 started2024-05-11 07:57:20.679167
Analysis finished2024-05-11 07:57:21.917729
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3000000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 42
100.0%

Length

2024-05-11T07:57:22.120758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:22.475281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 42
100.0%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T07:57:23.072483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters840
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

Unique42 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241122002000001
3rd rowCDFF2241122002000002
4th rowCDFF2241122004000001
5th rowCDFF2241122006000001
ValueCountFrequency (%)
cdff2241121999000001 1
 
2.4%
cdff2241122017000001 1
 
2.4%
cdff2241122023000002 1
 
2.4%
cdff2241122010000003 1
 
2.4%
cdff2241122011000002 1
 
2.4%
cdff2241122013000002 1
 
2.4%
cdff2241122016000001 1
 
2.4%
cdff2241122016000002 1
 
2.4%
cdff2241122016000003 1
 
2.4%
cdff2241122016000004 1
 
2.4%
Other values (32) 32
76.2%
2024-05-11T07:57:24.278996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 275
32.7%
2 189
22.5%
1 115
13.7%
F 84
 
10.0%
4 46
 
5.5%
C 42
 
5.0%
D 42
 
5.0%
9 15
 
1.8%
3 10
 
1.2%
8 8
 
1.0%
Other values (3) 14
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
80.0%
Uppercase Letter 168
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 275
40.9%
2 189
28.1%
1 115
17.1%
4 46
 
6.8%
9 15
 
2.2%
3 10
 
1.5%
8 8
 
1.2%
6 7
 
1.0%
7 5
 
0.7%
5 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
80.0%
Latin 168
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 275
40.9%
2 189
28.1%
1 115
17.1%
4 46
 
6.8%
9 15
 
2.2%
3 10
 
1.5%
8 8
 
1.2%
6 7
 
1.0%
7 5
 
0.7%
5 2
 
0.3%
Latin
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 275
32.7%
2 189
22.5%
1 115
13.7%
F 84
 
10.0%
4 46
 
5.5%
C 42
 
5.0%
D 42
 
5.0%
9 15
 
1.8%
3 10
 
1.2%
8 8
 
1.0%
Other values (3) 14
 
1.7%

인허가일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1999-07-01 00:00:00
Maximum2023-12-12 00:00:00
2024-05-11T07:57:24.814692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:57:25.411005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
33 
3
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 33
78.6%
3 8
 
19.0%
4 1
 
2.4%

Length

2024-05-11T07:57:25.878717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:26.245476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
78.6%
3 8
 
19.0%
4 1
 
2.4%

영업상태명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
33 
폐업
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.6428571
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 33
78.6%
폐업 8
 
19.0%
취소/말소/만료/정지/중지 1
 
2.4%

Length

2024-05-11T07:57:26.678135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:27.310435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 33
78.6%
폐업 8
 
19.0%
취소/말소/만료/정지/중지 1
 
2.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
13
33 
3
8 
35
 
1

Length

Max length2
Median length2
Mean length1.8095238
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row13
2nd row13
3rd row3
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 33
78.6%
3 8
 
19.0%
35 1
 
2.4%

Length

2024-05-11T07:57:28.174684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:28.626097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 33
78.6%
3 8
 
19.0%
35 1
 
2.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
33 
폐업
8 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8333333
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 33
78.6%
폐업 8
 
19.0%
직권말소 1
 
2.4%

Length

2024-05-11T07:57:29.230983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:29.617497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 33
78.6%
폐업 8
 
19.0%
직권말소 1
 
2.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing33
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean20116502
Minimum20070903
Maximum20211209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:30.212947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070903
5-th percentile20070987
Q120090730
median20101018
Q320141008
95-th percentile20187167
Maximum20211209
Range140306
Interquartile range (IQR)50278

Descriptive statistics

Standard deviation45373.842
Coefficient of variation (CV)0.0022555533
Kurtosis1.2252431
Mean20116502
Median Absolute Deviation (MAD)29905
Skewness1.1701282
Sum1.8104852 × 108
Variance2.0587856 × 109
MonotonicityNot monotonic
2024-05-11T07:57:30.878050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20071113 1
 
2.4%
20070903 1
 
2.4%
20120328 1
 
2.4%
20091105 1
 
2.4%
20101018 1
 
2.4%
20090730 1
 
2.4%
20141008 1
 
2.4%
20151104 1
 
2.4%
20211209 1
 
2.4%
(Missing) 33
78.6%
ValueCountFrequency (%)
20070903 1
2.4%
20071113 1
2.4%
20090730 1
2.4%
20091105 1
2.4%
20101018 1
2.4%
20120328 1
2.4%
20141008 1
2.4%
20151104 1
2.4%
20211209 1
2.4%
ValueCountFrequency (%)
20211209 1
2.4%
20151104 1
2.4%
20141008 1
2.4%
20120328 1
2.4%
20101018 1
2.4%
20091105 1
2.4%
20090730 1
2.4%
20071113 1
2.4%
20070903 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing22
Missing (%)52.4%
Memory size468.0 B
2024-05-11T07:57:31.539128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.85
Min length8

Characters and Unicode

Total characters217
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

Unique20 ?
Unique (%)100.0%

Sample

1st row02-746-1114
2nd row02-2121-5114
3rd row02-2278-0090
4th row02-3787-5578
5th row2269-4930
ValueCountFrequency (%)
02-746-1114 1
 
5.0%
02-2121-5114 1
 
5.0%
0269254146 1
 
5.0%
02-2154-1155 1
 
5.0%
02-903-0365 1
 
5.0%
02-1833-9597 1
 
5.0%
02-2102-5588 1
 
5.0%
02-2683-1550 1
 
5.0%
02-316-6649 1
 
5.0%
02-531-4500 1
 
5.0%
Other values (10) 10
50.0%
2024-05-11T07:57:32.562194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 35
16.1%
0 34
15.7%
- 34
15.7%
5 22
10.1%
1 19
8.8%
6 15
6.9%
3 15
6.9%
7 14
 
6.5%
4 10
 
4.6%
8 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
84.3%
Dash Punctuation 34
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 35
19.1%
0 34
18.6%
5 22
12.0%
1 19
10.4%
6 15
8.2%
3 15
8.2%
7 14
 
7.7%
4 10
 
5.5%
8 10
 
5.5%
9 9
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 35
16.1%
0 34
15.7%
- 34
15.7%
5 22
10.1%
1 19
8.8%
6 15
6.9%
3 15
6.9%
7 14
 
6.5%
4 10
 
4.6%
8 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 35
16.1%
0 34
15.7%
- 34
15.7%
5 22
10.1%
1 19
8.8%
6 15
6.9%
3 15
6.9%
7 14
 
6.5%
4 10
 
4.6%
8 10
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing31
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean110341
Minimum110110
Maximum110793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:33.131833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110110
5-th percentile110116.5
Q1110140
median110320
Q3110440
95-th percentile110764
Maximum110793
Range683
Interquartile range (IQR)300

Descriptive statistics

Standard deviation243.78515
Coefficient of variation (CV)0.0022093796
Kurtosis-0.24852969
Mean110341
Median Absolute Deviation (MAD)180
Skewness0.93336087
Sum1213751
Variance59431.2
MonotonicityNot monotonic
2024-05-11T07:57:33.627897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
110140 2
 
4.8%
110350 1
 
2.4%
110793 1
 
2.4%
110110 1
 
2.4%
110123 1
 
2.4%
110450 1
 
2.4%
110430 1
 
2.4%
110320 1
 
2.4%
110160 1
 
2.4%
110735 1
 
2.4%
(Missing) 31
73.8%
ValueCountFrequency (%)
110110 1
2.4%
110123 1
2.4%
110140 2
4.8%
110160 1
2.4%
110320 1
2.4%
110350 1
2.4%
110430 1
2.4%
110450 1
2.4%
110735 1
2.4%
110793 1
2.4%
ValueCountFrequency (%)
110793 1
2.4%
110735 1
2.4%
110450 1
2.4%
110430 1
2.4%
110350 1
2.4%
110320 1
2.4%
110160 1
2.4%
110140 2
4.8%
110123 1
2.4%
110110 1
2.4%

지번주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T07:57:34.205869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length28.690476
Min length17

Characters and Unicode

Total characters1205
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row서울특별시 종로구 운니동 **번지
2nd row서울특별시 종로구 계동 ***-*번지 현대빌딩
3rd row서울특별시 종로구 수송동 **-*번지
4th row서울특별시 종로구 서린동 **번지
5th row서울특별시 종로구 종로*가 ***-*번지 ****
ValueCountFrequency (%)
서울특별시 42
17.6%
종로구 42
17.6%
번지 32
13.4%
층 12
 
5.0%
12
 
5.0%
호 11
 
4.6%
당주동 4
 
1.7%
공평동 4
 
1.7%
수송동 3
 
1.3%
인의동 3
 
1.3%
Other values (58) 73
30.7%
2024-05-11T07:57:35.299347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
18.6%
* 200
16.6%
로 47
 
3.9%
동 46
 
3.8%
시 46
 
3.8%
서 45
 
3.7%
종 45
 
3.7%
울 43
 
3.6%
구 42
 
3.5%
별 42
 
3.5%
Other values (118) 425
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 747
62.0%
Space Separator 224
 
18.6%
Other Punctuation 201
 
16.7%
Dash Punctuation 18
 
1.5%
Uppercase Letter 13
 
1.1%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 47
 
6.3%
동 46
 
6.2%
시 46
 
6.2%
서 45
 
6.0%
종 45
 
6.0%
울 43
 
5.8%
구 42
 
5.6%
별 42
 
5.6%
특 42
 
5.6%
지 34
 
4.6%
Other values (105) 315
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
A 3
23.1%
C 2
15.4%
S 2
15.4%
K 1
 
7.7%
T 1
 
7.7%
D 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 200
99.5%
/ 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 747
62.0%
Common 445
36.9%
Latin 13
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 47
 
6.3%
동 46
 
6.2%
시 46
 
6.2%
서 45
 
6.0%
종 45
 
6.0%
울 43
 
5.8%
구 42
 
5.6%
별 42
 
5.6%
특 42
 
5.6%
지 34
 
4.6%
Other values (105) 315
42.2%
Latin
ValueCountFrequency (%)
B 3
23.1%
A 3
23.1%
C 2
15.4%
S 2
15.4%
K 1
 
7.7%
T 1
 
7.7%
D 1
 
7.7%
Common
ValueCountFrequency (%)
224
50.3%
* 200
44.9%
- 18
 
4.0%
1 1
 
0.2%
9 1
 
0.2%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 747
62.0%
ASCII 458
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
48.9%
* 200
43.7%
- 18
 
3.9%
B 3
 
0.7%
A 3
 
0.7%
C 2
 
0.4%
S 2
 
0.4%
1 1
 
0.2%
9 1
 
0.2%
K 1
 
0.2%
Other values (3) 3
 
0.7%
Hangul
ValueCountFrequency (%)
로 47
 
6.3%
동 46
 
6.2%
시 46
 
6.2%
서 45
 
6.0%
종 45
 
6.0%
울 43
 
5.8%
구 42
 
5.6%
별 42
 
5.6%
특 42
 
5.6%
지 34
 
4.6%
Other values (105) 315
42.2%

도로명주소
Text

MISSING 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Memory size468.0 B
2024-05-11T07:57:35.948991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39.5
Mean length35.078947
Min length22

Characters and Unicode

Total characters1333
Distinct characters140
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

Unique34 ?
Unique (%)89.5%

Sample

1st row서울특별시 종로구 돈화문로**가길 ** (운니동)
2nd row서울특별시 종로구 율곡로 ** (계동,현대빌딩)
3rd row서울특별시 종로구 율곡로*길 ** (수송동)
4th row서울특별시 종로구 종로 ** (서린동)
5th row서울특별시 종로구 창경궁로 *** (원남동,엔터프라이즈빌딩 *층)
ValueCountFrequency (%)
39
15.6%
서울특별시 38
15.2%
종로구 38
15.2%
층 17
 
6.8%
호 13
 
5.2%
종로 8
 
3.2%
당주동 4
 
1.6%
세종대로**길 3
 
1.2%
종로*길 3
 
1.2%
새문안로*길 2
 
0.8%
Other values (71) 85
34.0%
2024-05-11T07:57:37.067221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
17.3%
* 195
 
14.6%
로 79
 
5.9%
종 58
 
4.4%
동 42
 
3.2%
서 41
 
3.1%
시 40
 
3.0%
, 40
 
3.0%
울 39
 
2.9%
특 38
 
2.9%
Other values (130) 530
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
57.5%
Other Punctuation 236
 
17.7%
Space Separator 231
 
17.3%
Open Punctuation 38
 
2.9%
Close Punctuation 38
 
2.9%
Uppercase Letter 15
 
1.1%
Decimal Number 5
 
0.4%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 79
 
10.3%
종 58
 
7.6%
동 42
 
5.5%
서 41
 
5.3%
시 40
 
5.2%
울 39
 
5.1%
특 38
 
5.0%
별 38
 
5.0%
구 38
 
5.0%
길 24
 
3.1%
Other values (111) 330
43.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
C 3
20.0%
S 3
20.0%
B 2
13.3%
T 1
 
6.7%
K 1
 
6.7%
V 1
 
6.7%
D 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 195
82.6%
, 40
 
16.9%
/ 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
5 1
 
20.0%
0 1
 
20.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
57.5%
Common 551
41.3%
Latin 15
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 79
 
10.3%
종 58
 
7.6%
동 42
 
5.5%
서 41
 
5.3%
시 40
 
5.2%
울 39
 
5.1%
특 38
 
5.0%
별 38
 
5.0%
구 38
 
5.0%
길 24
 
3.1%
Other values (111) 330
43.0%
Common
ValueCountFrequency (%)
231
41.9%
* 195
35.4%
, 40
 
7.3%
( 38
 
6.9%
) 38
 
6.9%
1 3
 
0.5%
- 2
 
0.4%
5 1
 
0.2%
0 1
 
0.2%
/ 1
 
0.2%
Latin
ValueCountFrequency (%)
A 3
20.0%
C 3
20.0%
S 3
20.0%
B 2
13.3%
T 1
 
6.7%
K 1
 
6.7%
V 1
 
6.7%
D 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
57.5%
ASCII 566
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
40.8%
* 195
34.5%
, 40
 
7.1%
( 38
 
6.7%
) 38
 
6.7%
1 3
 
0.5%
A 3
 
0.5%
C 3
 
0.5%
S 3
 
0.5%
- 2
 
0.4%
Other values (9) 10
 
1.8%
Hangul
ValueCountFrequency (%)
로 79
 
10.3%
종 58
 
7.6%
동 42
 
5.5%
서 41
 
5.3%
시 40
 
5.2%
울 39
 
5.1%
특 38
 
5.0%
별 38
 
5.0%
구 38
 
5.0%
길 24
 
3.1%
Other values (111) 330
43.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)68.4%
Missing23
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean3153.6316
Minimum3086
Maximum3187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:37.450103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3086
5-th percentile3086
Q13141
median3160
Q33174.5
95-th percentile3182.5
Maximum3187
Range101
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation30.430632
Coefficient of variation (CV)0.0096493936
Kurtosis0.70406565
Mean3153.6316
Median Absolute Deviation (MAD)18
Skewness-1.1684151
Sum59919
Variance926.02339
MonotonicityNot monotonic
2024-05-11T07:57:37.925139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3173 3
 
7.1%
3182 3
 
7.1%
3142 2
 
4.8%
3086 2
 
4.8%
3130 1
 
2.4%
3168 1
 
2.4%
3160 1
 
2.4%
3157 1
 
2.4%
3140 1
 
2.4%
3187 1
 
2.4%
Other values (3) 3
 
7.1%
(Missing) 23
54.8%
ValueCountFrequency (%)
3086 2
4.8%
3121 1
 
2.4%
3130 1
 
2.4%
3140 1
 
2.4%
3142 2
4.8%
3157 1
 
2.4%
3159 1
 
2.4%
3160 1
 
2.4%
3168 1
 
2.4%
3173 3
7.1%
ValueCountFrequency (%)
3187 1
 
2.4%
3182 3
7.1%
3176 1
 
2.4%
3173 3
7.1%
3168 1
 
2.4%
3160 1
 
2.4%
3159 1
 
2.4%
3157 1
 
2.4%
3142 2
4.8%
3140 1
 
2.4%

사업장명
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T07:57:38.373266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.3809524
Min length3

Characters and Unicode

Total characters352
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row(주)리맨코
2nd row현대종합상사(주)
3rd row한국후지쯔(주)
4th rowSK(주)
5th row(주)오케이게임넷
ValueCountFrequency (%)
주식회사 8
 
14.0%
한국후지쯔(주 2
 
3.5%
유한회사 2
 
3.5%
스피드전자 2
 
3.5%
에스앤케이인터랙티브 1
 
1.8%
바나나게임스코리아 1
 
1.8%
지노게임즈 1
 
1.8%
주)네스토스 1
 
1.8%
주)리맨코 1
 
1.8%
디지콘 1
 
1.8%
Other values (37) 37
64.9%
2024-05-11T07:57:39.374628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
6.8%
( 19
 
5.4%
) 19
 
5.4%
15
 
4.3%
스 15
 
4.3%
이 13
 
3.7%
사 12
 
3.4%
회 11
 
3.1%
아 8
 
2.3%
식 8
 
2.3%
Other values (105) 208
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
80.4%
Open Punctuation 19
 
5.4%
Close Punctuation 19
 
5.4%
Space Separator 15
 
4.3%
Lowercase Letter 9
 
2.6%
Uppercase Letter 6
 
1.7%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
8.5%
스 15
 
5.3%
이 13
 
4.6%
사 12
 
4.2%
회 11
 
3.9%
아 8
 
2.8%
식 8
 
2.8%
지 8
 
2.8%
케 7
 
2.5%
소 7
 
2.5%
Other values (87) 170
60.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
e 1
11.1%
r 1
11.1%
c 1
11.1%
x 1
11.1%
s 1
11.1%
f 1
11.1%
t 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
16.7%
U 1
16.7%
A 1
16.7%
G 1
16.7%
K 1
16.7%
S 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
80.7%
Common 53
 
15.1%
Latin 15
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
8.5%
스 15
 
5.3%
이 13
 
4.6%
사 12
 
4.2%
회 11
 
3.9%
아 8
 
2.8%
식 8
 
2.8%
지 8
 
2.8%
케 7
 
2.5%
소 7
 
2.5%
Other values (88) 171
60.2%
Latin
ValueCountFrequency (%)
o 2
13.3%
e 1
 
6.7%
r 1
 
6.7%
c 1
 
6.7%
x 1
 
6.7%
E 1
 
6.7%
U 1
 
6.7%
A 1
 
6.7%
G 1
 
6.7%
s 1
 
6.7%
Other values (4) 4
26.7%
Common
ValueCountFrequency (%)
( 19
35.8%
) 19
35.8%
15
28.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
80.4%
ASCII 68
 
19.3%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
8.5%
스 15
 
5.3%
이 13
 
4.6%
사 12
 
4.2%
회 11
 
3.9%
아 8
 
2.8%
식 8
 
2.8%
지 8
 
2.8%
케 7
 
2.5%
소 7
 
2.5%
Other values (87) 170
60.1%
ASCII
ValueCountFrequency (%)
( 19
27.9%
) 19
27.9%
15
22.1%
o 2
 
2.9%
e 1
 
1.5%
r 1
 
1.5%
c 1
 
1.5%
x 1
 
1.5%
E 1
 
1.5%
U 1
 
1.5%
Other values (7) 7
 
10.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2006-06-12 13:38:49
Maximum2024-01-24 13:13:39
2024-05-11T07:57:39.785155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:57:40.213279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
35 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 35
83.3%
U 7
 
16.7%

Length

2024-05-11T07:57:40.637755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:40.913941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
83.3%
u 7
 
16.7%

데이터갱신일자
Categorical

Distinct14
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
29 
2022-10-30 22:05:00.0
 
1
2022-12-05 22:01:00.0
 
1
2021-12-11 02:40:00.0
 
1
2019-01-22 02:21:19.0
 
1
Other values (9)
9 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)31.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 29
69.0%
2022-10-30 22:05:00.0 1
 
2.4%
2022-12-05 22:01:00.0 1
 
2.4%
2021-12-11 02:40:00.0 1
 
2.4%
2019-01-22 02:21:19.0 1
 
2.4%
2019-06-30 02:40:00.0 1
 
2.4%
2019-11-20 00:23:19.0 1
 
2.4%
2021-07-02 02:40:00.0 1
 
2.4%
2021-06-02 00:22:55.0 1
 
2.4%
2021-12-04 23:08:00.0 1
 
2.4%
Other values (4) 4
 
9.5%

Length

2024-05-11T07:57:41.242240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 29
34.5%
23:59:59.0 29
34.5%
02:40:00.0 3
 
3.6%
22:07:00.0 2
 
2.4%
2021-06-02 1
 
1.2%
2022-12-08 1
 
1.2%
00:07:00.0 1
 
1.2%
2022-12-01 1
 
1.2%
22:06:00.0 1
 
1.2%
2021-12-05 1
 
1.2%
Other values (15) 15
17.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)72.5%
Missing2
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean198897.53
Minimum197002.67
Maximum201949.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:41.548181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197002.67
5-th percentile197416.55
Q1197992.14
median198375.29
Q3199812.61
95-th percentile201675.05
Maximum201949.65
Range4946.9834
Interquartile range (IQR)1820.4731

Descriptive statistics

Standard deviation1363.2526
Coefficient of variation (CV)0.006854045
Kurtosis-0.24396201
Mean198897.53
Median Absolute Deviation (MAD)767.89205
Skewness0.86227736
Sum7955901.2
Variance1858457.7
MonotonicityNot monotonic
2024-05-11T07:57:41.999861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
198375.290383028 4
 
9.5%
199812.609633255 3
 
7.1%
197607.398336321 3
 
7.1%
198101.593328721 2
 
4.8%
200867.018020338 2
 
4.8%
200284.079710268 2
 
4.8%
198279.787364709 2
 
4.8%
197428.923002637 1
 
2.4%
201282.378349367 1
 
2.4%
198286.311784052 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 2
 
4.8%
ValueCountFrequency (%)
197002.668255774 1
 
2.4%
197181.393301659 1
 
2.4%
197428.923002637 1
 
2.4%
197559.791065754 1
 
2.4%
197567.747824202 1
 
2.4%
197607.398336321 3
7.1%
197662.503910553 1
 
2.4%
197982.889600104 1
 
2.4%
197995.218793409 1
 
2.4%
198076.878950513 1
 
2.4%
ValueCountFrequency (%)
201949.65163583 1
 
2.4%
201905.282909761 1
 
2.4%
201662.929879894 1
 
2.4%
201282.378349367 1
 
2.4%
200867.018020338 2
4.8%
200284.079710268 2
4.8%
199812.609633255 3
7.1%
199679.470126039 1
 
2.4%
199561.640995325 1
 
2.4%
199068.868143853 1
 
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)72.5%
Missing2
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean452311.79
Minimum451858.66
Maximum453238.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:42.359333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451858.66
5-th percentile451944.08
Q1452091.85
median452160.87
Q3452463.78
95-th percentile452918.62
Maximum453238.54
Range1379.8783
Interquartile range (IQR)371.93038

Descriptive statistics

Standard deviation330.54406
Coefficient of variation (CV)0.00073078808
Kurtosis1.4859852
Mean452311.79
Median Absolute Deviation (MAD)160.19955
Skewness1.3147854
Sum18092472
Variance109259.38
MonotonicityNot monotonic
2024-05-11T07:57:42.747930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
452091.983666703 4
 
9.5%
452132.648343993 3
 
7.1%
452120.026024435 3
 
7.1%
452496.362099822 2
 
4.8%
452086.036903115 2
 
4.8%
453238.540020978 2
 
4.8%
452430.699653992 2
 
4.8%
452041.177877529 1
 
2.4%
452249.643664396 1
 
2.4%
452091.444332546 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 2
 
4.8%
ValueCountFrequency (%)
451858.661758256 1
 
2.4%
451925.63111828 1
 
2.4%
451945.047247204 1
 
2.4%
452027.574753972 1
 
2.4%
452041.177877529 1
 
2.4%
452059.813314623 1
 
2.4%
452082.344195698 1
 
2.4%
452086.036903115 2
4.8%
452091.444332546 1
 
2.4%
452091.983666703 4
9.5%
ValueCountFrequency (%)
453238.540020978 2
4.8%
452901.786745273 1
2.4%
452893.430637392 1
2.4%
452715.716354779 1
2.4%
452677.676438417 1
2.4%
452552.332812055 1
2.4%
452496.362099822 2
4.8%
452478.636909053 1
2.4%
452458.826651573 1
2.4%
452430.699653992 2
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
게임물배급업
35 
<NA>
7 

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 35
83.3%
<NA> 7
 
16.7%

Length

2024-05-11T07:57:43.205638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:43.590701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 35
83.3%
na 7
 
16.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
유통관련업
35 
<NA>
7 

Length

Max length5
Median length5
Mean length4.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 35
83.3%
<NA> 7
 
16.7%

Length

2024-05-11T07:57:43.974686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:44.370953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 35
83.3%
na 7
 
16.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
41 
3
 
1

Length

Max length4
Median length4
Mean length3.9285714
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
97.6%
3 1
 
2.4%

Length

2024-05-11T07:57:44.756053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:45.095075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
97.6%
3 1
 
2.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

제작취급품목내용
Text

MISSING 

Distinct21
Distinct (%)60.0%
Missing7
Missing (%)16.7%
Memory size468.0 B
2024-05-11T07:57:45.490677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.5714286
Min length3

Characters and Unicode

Total characters230
Distinct characters58
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)54.3%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 11
22.4%
온라인게임 5
 
10.2%
게임 3
 
6.1%
소프트웨어 3
 
6.1%
모바일 2
 
4.1%
및 2
 
4.1%
공급 2
 
4.1%
개발 2
 
4.1%
게임컨텐츠 1
 
2.0%
배급업 1
 
2.0%
Other values (17) 17
34.7%
2024-05-11T07:57:46.453281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 32
 
13.9%
임 32
 
13.9%
물 14
 
6.1%
14
 
6.1%
인 8
 
3.5%
라 7
 
3.0%
온 7
 
3.0%
소 7
 
3.0%
기 6
 
2.6%
프 5
 
2.2%
Other values (48) 98
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
84.8%
Space Separator 14
 
6.1%
Lowercase Letter 11
 
4.8%
Close Punctuation 4
 
1.7%
Open Punctuation 4
 
1.7%
Decimal Number 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 32
16.4%
임 32
16.4%
물 14
 
7.2%
인 8
 
4.1%
라 7
 
3.6%
온 7
 
3.6%
소 7
 
3.6%
기 6
 
3.1%
프 5
 
2.6%
트 5
 
2.6%
Other values (34) 72
36.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
r 2
18.2%
v 1
9.1%
e 1
9.1%
m 1
9.1%
g 1
9.1%
t 1
9.1%
s 1
9.1%
i 1
9.1%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
84.8%
Common 24
 
10.4%
Latin 11
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 32
16.4%
임 32
16.4%
물 14
 
7.2%
인 8
 
4.1%
라 7
 
3.6%
온 7
 
3.6%
소 7
 
3.6%
기 6
 
3.1%
프 5
 
2.6%
트 5
 
2.6%
Other values (34) 72
36.9%
Latin
ValueCountFrequency (%)
a 2
18.2%
r 2
18.2%
v 1
9.1%
e 1
9.1%
m 1
9.1%
g 1
9.1%
t 1
9.1%
s 1
9.1%
i 1
9.1%
Common
ValueCountFrequency (%)
14
58.3%
) 4
 
16.7%
( 4
 
16.7%
3 1
 
4.2%
, 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
84.8%
ASCII 35
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 32
16.4%
임 32
16.4%
물 14
 
7.2%
인 8
 
4.1%
라 7
 
3.6%
온 7
 
3.6%
소 7
 
3.6%
기 6
 
3.1%
프 5
 
2.6%
트 5
 
2.6%
Other values (34) 72
36.9%
ASCII
ValueCountFrequency (%)
14
40.0%
) 4
 
11.4%
( 4
 
11.4%
a 2
 
5.7%
r 2
 
5.7%
3 1
 
2.9%
v 1
 
2.9%
, 1
 
2.9%
e 1
 
2.9%
m 1
 
2.9%
Other values (4) 4
 
11.4%

시설면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing18
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean172.93583
Minimum1.64
Maximum2848.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T07:57:46.855581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.64
5-th percentile3.5515
Q116.5
median32
Q353.465
95-th percentile443.55
Maximum2848.1
Range2846.46
Interquartile range (IQR)36.965

Descriptive statistics

Standard deviation578.38578
Coefficient of variation (CV)3.3445109
Kurtosis22.416476
Mean172.93583
Median Absolute Deviation (MAD)16.54
Skewness4.6854859
Sum4150.46
Variance334530.11
MonotonicityNot monotonic
2024-05-11T07:57:47.196773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
32.0 2
 
4.8%
16.5 2
 
4.8%
7.0 1
 
2.4%
3.04 1
 
2.4%
6.45 1
 
2.4%
2848.1 1
 
2.4%
24.94 1
 
2.4%
12.0 1
 
2.4%
495.0 1
 
2.4%
34.9 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 18
42.9%
ValueCountFrequency (%)
1.64 1
2.4%
3.04 1
2.4%
6.45 1
2.4%
7.0 1
2.4%
12.0 1
2.4%
16.5 2
4.8%
20.0 1
2.4%
23.14 1
2.4%
24.94 1
2.4%
30.0 1
2.4%
ValueCountFrequency (%)
2848.1 1
2.4%
495.0 1
2.4%
152.0 1
2.4%
99.0 1
2.4%
71.01 1
2.4%
65.12 1
2.4%
49.58 1
2.4%
39.54 1
2.4%
38.0 1
2.4%
34.9 1
2.4%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
40 
2
 
1
20
 
1

Length

Max length4
Median length4
Mean length3.8809524
Min length1

Unique

Unique2 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
95.2%
2 1
 
2.4%
20 1
 
2.4%

Length

2024-05-11T07:57:47.960020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:57:48.390051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
95.2%
2 1
 
2.4%
20 1
 
2.4%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF224112199900000119990701<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110350서울특별시 종로구 운니동 **번지서울특별시 종로구 돈화문로**가길 ** (운니동)<NA>(주)리맨코2007-05-18 15:53:26I2018-08-31 23:59:59.0<NA>199033.125216452715.716355게임물배급업유통관련업<NA><NA>게임물<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>
13000000CDFF224112200200000120020925<NA>1영업/정상13영업중<NA><NA><NA><NA>02-746-1114<NA>110793서울특별시 종로구 계동 ***-*번지 현대빌딩서울특별시 종로구 율곡로 ** (계동,현대빌딩)<NA>현대종합상사(주)2007-05-18 15:30:16I2018-08-31 23:59:59.0<NA>198817.289035452901.786745게임물배급업유통관련업<NA><NA>게임물<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>
23000000CDFF224112200200000220021009<NA>3폐업3폐업20071113<NA><NA><NA><NA><NA>110140서울특별시 종로구 수송동 **-*번지서울특별시 종로구 율곡로*길 ** (수송동)<NA>한국후지쯔(주)2007-11-14 09:29:35I2018-08-31 23:59:59.0<NA>198279.787365452430.699654게임물배급업유통관련업<NA><NA>게임물<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>
33000000CDFF224112200400000120040424<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2121-5114<NA>110110서울특별시 종로구 서린동 **번지서울특별시 종로구 종로 ** (서린동)<NA>SK(주)2007-05-18 15:36:50I2018-08-31 23:59:59.0<NA>198195.965393451925.631118게임물배급업유통관련업<NA><NA>게임물<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>
43000000CDFF224112200600000120060612<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110123서울특별시 종로구 종로*가 ***-*번지 ****<NA><NA>(주)오케이게임넷2006-06-12 13:38:49I2018-08-31 23:59:59.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물<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>
53000000CDFF224112200700000120070406<NA>3폐업3폐업20070903<NA><NA><NA><NA><NA>110450서울특별시 종로구 원남동 ***번지 엔터프라이즈빌딩 *층서울특별시 종로구 창경궁로 *** (원남동,엔터프라이즈빌딩 *층)<NA>(주)골드소프트2007-10-05 13:02:19I2018-08-31 23:59:59.0<NA>199679.470126452552.332812게임물배급업유통관련업<NA><NA>게임물<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>
63000000CDFF224112200700000220071019<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2278-0090<NA>110430서울특별시 종로구 장사동 ***-*번지 아세아전자상가 *층 ***호서울특별시 종로구 청계천로 *** (장사동,아세아전자상가 *층 ***호)<NA>지스타2007-10-19 14:06:54I2018-08-31 23:59:59.0<NA>199561.640995451858.661758게임물배급업유통관련업<NA><NA>게임물(오락기)<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>
73000000CDFF224112200700000320071127<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3787-5578<NA><NA>서울특별시 종로구 수송동 **-*번지서울특별시 종로구 율곡로*길 ** (수송동)<NA>한국후지쯔(주)2009-07-06 18:54:18I2018-08-31 23:59:59.0<NA>198279.787365452430.699654게임물배급업유통관련업<NA><NA>게임물<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>
83000000CDFF224112200800000220080825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110140서울특별시 종로구 수송동 ***-*번지 리마빌딩 *층 비즈니스센타 스위트 ***서울특별시 종로구 종로*길 ** (수송동,리마빌딩 *층 비즈니스센타 스위트 ***)<NA>와일드 탄젠트 잉크(영업소)2008-08-25 10:46:50I2018-08-31 23:59:59.0<NA>198076.878951452402.19527게임물배급업유통관련업<NA><NA>게임물(소프트웨어)<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>
93000000CDFF224112200800000320080901<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>110320서울특별시 종로구 낙원동 ***번지 ***호서울특별시 종로구 돈화문로*길 ** (낙원동,***호)<NA>미륵전자2008-09-01 13:53:35I2018-08-31 23:59:59.0<NA>199068.868144452059.813315게임물배급업유통관련업<NA><NA>온라인컨텐츠게임개발<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
323000000CDFF224112201800000220181112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 서린동 ***-*번지 광화문우체국서울특별시 종로구 종로 *, 광화문우체국 *~*층 (서린동)3187디지콘2019-01-10 12:13:47I2019-01-22 02:21:19.0<NA>197995.218793451945.047247게임물배급업유통관련업<NA><NA>모바일게임12.0<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>
333000000CDFF224112201900000120190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-*번지 금호팔레스 ****호서울특별시 종로구 지봉로 **, 금호팔레스 ****호 (창신동)3121(주)월드브이알2019-06-28 16:34:20U2019-06-30 02:40:00.0<NA>201282.378349452249.643664게임물배급업유통관련업<NA><NA>vr게임 배급업24.94<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>
343000000CDFF224112201900000220190918<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로*가 *-***번지 주식회사 투바앤서울특별시 종로구 경희궁*길 *, 주식회사 투바앤 (신문로*가)3176주식회사 투바앤2019-09-18 09:02:03I2019-11-20 00:23:19.0<NA>197428.923003452041.177878게임물배급업유통관련업<NA><NA>모바일 게임2848.1<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>
353000000CDFF224112202000000120201112<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-0365<NA><NA>서울특별시 종로구 당주동 ***서울특별시 종로구 세종대로**길 **, ***VA-**호 (당주동)3182주식회사 노리마루2021-06-30 09:46:36U2021-07-02 02:40:00.0<NA>197607.398336452120.026024게임물배급업유통관련업<NA><NA>소프트웨어 개발6.45<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>
363000000CDFF224112202100000120210531<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2154-1155<NA><NA>서울특별시 종로구 청진동 ** 그랑서울서울특별시 종로구 종로 **, 그랑서울 *층 (청진동)3159바나나게임스코리아 유한회사2021-05-31 14:03:23I2021-06-02 00:22:55.0<NA>198286.311784452091.444333게임물배급업유통관련업<NA><NA>게임물3.04<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>
373000000CDFF224112202200000120190404<NA>1영업/정상13영업중<NA><NA><NA><NA>0269254146<NA><NA>서울특별시 종로구 당주동 * 로얄빌딩서울특별시 종로구 새문안로*길 **, 로얄빌딩 **층 *,*호 (당주동)3173주식회사 에스앤케이인터랙티브2022-05-16 11:22:38I2021-12-04 23:08:00.0<NA>197662.503911452189.092368<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>
383000000CDFF224112202200000220220624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 당주동 ***서울특별시 종로구 세종대로**길 **, *층 ***-**호 (당주동)3182㈜인디고게임즈2022-06-24 10:31:11I2021-12-05 22:06:00.0<NA>197607.398336452120.026024<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>
393000000CDFF224112202300000120100721<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2155-5100<NA><NA>서울특별시 종로구 중학동 19 더케이트윈타워 A동서울특별시 종로구 종로1길 50, 더케이트윈타워 A동 11층 (중학동)3142주식회사 지어소프트2023-01-05 10:31:27U2022-12-01 00:07:00.0<NA>198101.593329452496.3621<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>
403000000CDFF22411220230000022023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩서울특별시 종로구 대학로**길 **, 계우빌딩 ***호 (동숭동)3086지노게임즈2023-09-25 13:05:17I2022-12-08 22:07:00.0<NA>200284.07971453238.540021<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>
413000000CDFF22411220230000032023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩 ***호서울특별시 종로구 대학로**길 **, 계우빌딩 ***호 (동숭동)3086주식회사 링게임2024-01-24 13:13:39U2023-11-30 22:07:00.0<NA>200284.07971453238.540021<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>