Overview

Dataset statistics

Number of variables56
Number of observations255
Missing cells6794
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory121.4 KiB
Average record size in memory487.5 B

Variable types

Categorical18
Text7
DateTime2
Unsupported22
Numeric7

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16667/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (51.3%)Imbalance
데이터갱신일자 is highly imbalanced (74.6%)Imbalance
문화체육업종명 is highly imbalanced (79.9%)Imbalance
문화사업자구분명 is highly imbalanced (79.9%)Imbalance
제작취급품목내용 is highly imbalanced (60.0%)Imbalance
지상층수 is highly imbalanced (83.3%)Imbalance
지하층수 is highly imbalanced (80.9%)Imbalance
통로너비 is highly imbalanced (79.9%)Imbalance
조명시설조도 is highly imbalanced (79.9%)Imbalance
노래방실수 is highly imbalanced (79.9%)Imbalance
청소년실수 is highly imbalanced (79.9%)Imbalance
총게임기수 is highly imbalanced (79.9%)Imbalance
지역구분명 is highly imbalanced (88.4%)Imbalance
인허가취소일자 has 255 (100.0%) missing valuesMissing
폐업일자 has 210 (82.4%) missing valuesMissing
휴업시작일자 has 255 (100.0%) missing valuesMissing
휴업종료일자 has 255 (100.0%) missing valuesMissing
재개업일자 has 255 (100.0%) missing valuesMissing
전화번호 has 85 (33.3%) missing valuesMissing
소재지면적 has 255 (100.0%) missing valuesMissing
소재지우편번호 has 167 (65.5%) missing valuesMissing
도로명주소 has 20 (7.8%) missing valuesMissing
도로명우편번호 has 144 (56.5%) missing valuesMissing
업태구분명 has 255 (100.0%) missing valuesMissing
좌표정보(X) has 20 (7.8%) missing valuesMissing
좌표정보(Y) has 20 (7.8%) missing valuesMissing
총층수 has 8 (3.1%) missing valuesMissing
주변환경명 has 251 (98.4%) missing valuesMissing
시설면적 has 8 (3.1%) missing valuesMissing
건물용도명 has 251 (98.4%) missing valuesMissing
비상계단여부 has 255 (100.0%) missing valuesMissing
비상구여부 has 255 (100.0%) missing valuesMissing
자동환기여부 has 255 (100.0%) missing valuesMissing
청소년실여부 has 255 (100.0%) missing valuesMissing
특수조명여부 has 255 (100.0%) missing valuesMissing
방음시설여부 has 255 (100.0%) missing valuesMissing
비디오재생기명 has 255 (100.0%) missing valuesMissing
조명시설유무 has 255 (100.0%) missing valuesMissing
음향시설여부 has 255 (100.0%) missing valuesMissing
편의시설여부 has 255 (100.0%) missing valuesMissing
소방시설여부 has 255 (100.0%) missing valuesMissing
기존게임업외업종명 has 255 (100.0%) missing valuesMissing
제공게임물명 has 255 (100.0%) missing valuesMissing
공연장형태구분명 has 255 (100.0%) missing valuesMissing
품목명 has 255 (100.0%) missing valuesMissing
최초등록시점 has 255 (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
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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 240 (94.1%) zerosZeros
시설면적 has 138 (54.1%) zerosZeros

Reproduction

Analysis started2024-04-06 13:22:19.828256
Analysis finished2024-04-06 13:22:20.801342
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3010000
255 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 255
100.0%

Length

2024-04-06T22:22:20.857600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:20.938702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 255
100.0%

관리번호
Text

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-06T22:22:21.091669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5100
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

Unique255 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241121999000003
4th rowCDFF2241121999000004
5th rowCDFF2241121999000005
ValueCountFrequency (%)
cdff2241121999000001 1
 
0.4%
cdff2241122009000013 1
 
0.4%
cdff2241122009000015 1
 
0.4%
cdff2241122009000016 1
 
0.4%
cdff2241122009000017 1
 
0.4%
cdff2241122009000018 1
 
0.4%
cdff2241122009000019 1
 
0.4%
cdff2241122009000020 1
 
0.4%
cdff2241122009000022 1
 
0.4%
cdff2241122009000023 1
 
0.4%
Other values (245) 245
96.1%
2024-04-06T22:22:21.378898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1632
32.0%
2 1129
22.1%
1 724
14.2%
F 510
 
10.0%
4 308
 
6.0%
C 255
 
5.0%
D 255
 
5.0%
9 84
 
1.6%
3 53
 
1.0%
5 50
 
1.0%
Other values (3) 100
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
80.0%
Uppercase Letter 1020
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1632
40.0%
2 1129
27.7%
1 724
17.7%
4 308
 
7.5%
9 84
 
2.1%
3 53
 
1.3%
5 50
 
1.2%
8 36
 
0.9%
6 32
 
0.8%
7 32
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 510
50.0%
C 255
25.0%
D 255
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4080
80.0%
Latin 1020
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1632
40.0%
2 1129
27.7%
1 724
17.7%
4 308
 
7.5%
9 84
 
2.1%
3 53
 
1.3%
5 50
 
1.2%
8 36
 
0.9%
6 32
 
0.8%
7 32
 
0.8%
Latin
ValueCountFrequency (%)
F 510
50.0%
C 255
25.0%
D 255
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1632
32.0%
2 1129
22.1%
1 724
14.2%
F 510
 
10.0%
4 308
 
6.0%
C 255
 
5.0%
D 255
 
5.0%
9 84
 
1.6%
3 53
 
1.0%
5 50
 
1.0%
Other values (3) 100
 
2.0%

인허가일자
Date

Distinct234
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1999-07-27 00:00:00
Maximum2024-01-24 00:00:00
2024-04-06T22:22:21.517347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:22:21.663303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
209 
3
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 209
82.0%
3 46
 
18.0%

Length

2024-04-06T22:22:21.786326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:21.870525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 209
82.0%
3 46
 
18.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
209 
폐업
46 

Length

Max length5
Median length5
Mean length4.4588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 209
82.0%
폐업 46
 
18.0%

Length

2024-04-06T22:22:21.994471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:22.101485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 209
82.0%
폐업 46
 
18.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
209 
3
46 

Length

Max length2
Median length2
Mean length1.8196078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 209
82.0%
3 46
 
18.0%

Length

2024-04-06T22:22:22.222559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:22.315370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 209
82.0%
3 46
 
18.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
209 
폐업
46 

Length

Max length3
Median length3
Mean length2.8196078
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 209
82.0%
폐업 46
 
18.0%

Length

2024-04-06T22:22:22.404132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:22.488693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 209
82.0%
폐업 46
 
18.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)100.0%
Missing210
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean20140209
Minimum20060307
Maximum20211224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:22.585119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060307
5-th percentile20072487
Q120111128
median20140915
Q320170413
95-th percentile20208704
Maximum20211224
Range150917
Interquartile range (IQR)59285

Descriptive statistics

Standard deviation41540.309
Coefficient of variation (CV)0.002062556
Kurtosis-0.79996659
Mean20140209
Median Absolute Deviation (MAD)29787
Skewness-0.056798023
Sum9.0630942 × 108
Variance1.7255973 × 109
MonotonicityNot monotonic
2024-04-06T22:22:22.737281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20160428 1
 
0.4%
20140915 1
 
0.4%
20130619 1
 
0.4%
20141230 1
 
0.4%
20121009 1
 
0.4%
20150325 1
 
0.4%
20120820 1
 
0.4%
20190709 1
 
0.4%
20140303 1
 
0.4%
20190222 1
 
0.4%
Other values (35) 35
 
13.7%
(Missing) 210
82.4%
ValueCountFrequency (%)
20060307 1
0.4%
20070125 1
0.4%
20070528 1
0.4%
20080321 1
0.4%
20080715 1
0.4%
20081106 1
0.4%
20090901 1
0.4%
20091030 1
0.4%
20100302 1
0.4%
20100719 1
0.4%
ValueCountFrequency (%)
20211224 1
0.4%
20211214 1
0.4%
20210629 1
0.4%
20201005 1
0.4%
20200204 1
0.4%
20191028 1
0.4%
20190709 1
0.4%
20190222 1
0.4%
20181022 1
0.4%
20180326 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct150
Distinct (%)88.2%
Missing85
Missing (%)33.3%
Memory size2.1 KiB
2024-04-06T22:22:22.994802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.4117647
Min length8

Characters and Unicode

Total characters1600
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

Unique134 ?
Unique (%)78.8%

Sample

1st row2268-1528
2nd row2271-3362
3rd row2264-2631
4th row2274-2368
5th row2252-3223
ValueCountFrequency (%)
2269-4206 4
 
2.4%
2278-8913 3
 
1.8%
2237-3800 3
 
1.8%
2272-0712 2
 
1.2%
2264-7303 2
 
1.2%
2272-1244 2
 
1.2%
2266-7131 2
 
1.2%
2277-0560 2
 
1.2%
2278-1555 2
 
1.2%
2265-3085 2
 
1.2%
Other values (140) 146
85.9%
2024-04-06T22:22:23.372012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 359
22.4%
- 191
11.9%
7 186
11.6%
0 147
9.2%
6 135
 
8.4%
3 109
 
6.8%
1 107
 
6.7%
8 102
 
6.4%
5 96
 
6.0%
4 91
 
5.7%
Other values (2) 77
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1408
88.0%
Dash Punctuation 191
 
11.9%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 359
25.5%
7 186
13.2%
0 147
10.4%
6 135
 
9.6%
3 109
 
7.7%
1 107
 
7.6%
8 102
 
7.2%
5 96
 
6.8%
4 91
 
6.5%
9 76
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 359
22.4%
- 191
11.9%
7 186
11.6%
0 147
9.2%
6 135
 
8.4%
3 109
 
6.8%
1 107
 
6.7%
8 102
 
6.4%
5 96
 
6.0%
4 91
 
5.7%
Other values (2) 77
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 359
22.4%
- 191
11.9%
7 186
11.6%
0 147
9.2%
6 135
 
8.4%
3 109
 
6.8%
1 107
 
6.7%
8 102
 
6.4%
5 96
 
6.0%
4 91
 
5.7%
Other values (2) 77
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)27.3%
Missing167
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean100479.45
Minimum100011
Maximum100862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:23.499220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100221.3
Q1100340
median100340
Q3100832.5
95-th percentile100848
Maximum100862
Range851
Interquartile range (IQR)492.5

Descriptive statistics

Standard deviation247.62745
Coefficient of variation (CV)0.0024644585
Kurtosis-1.1222844
Mean100479.45
Median Absolute Deviation (MAD)0
Skewness0.62436635
Sum8842192
Variance61319.354
MonotonicityNot monotonic
2024-04-06T22:22:23.603101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100340 52
 
20.4%
100848 12
 
4.7%
100840 3
 
1.2%
100832 1
 
0.4%
100290 1
 
0.4%
100852 1
 
0.4%
100845 1
 
0.4%
100120 1
 
0.4%
100827 1
 
0.4%
100330 1
 
0.4%
Other values (14) 14
 
5.5%
(Missing) 167
65.5%
ValueCountFrequency (%)
100011 1
 
0.4%
100015 1
 
0.4%
100120 1
 
0.4%
100192 1
 
0.4%
100194 1
 
0.4%
100272 1
 
0.4%
100290 1
 
0.4%
100330 1
 
0.4%
100340 52
20.4%
100450 1
 
0.4%
ValueCountFrequency (%)
100862 1
 
0.4%
100852 1
 
0.4%
100849 1
 
0.4%
100848 12
4.7%
100847 1
 
0.4%
100845 1
 
0.4%
100844 1
 
0.4%
100840 3
 
1.2%
100834 1
 
0.4%
100832 1
 
0.4%

지번주소
Text

Distinct196
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-06T22:22:23.762525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length30.305882
Min length19

Characters and Unicode

Total characters7728
Distinct characters167
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

Unique166 ?
Unique (%)65.1%

Sample

1st row서울특별시 중구 산림동 ***-*번지 청계상가 라열 ***,***호
2nd row서울특별시 중구 을지로*가 *-*번지 대림상가 ****
3rd row서울특별시 중구 산림동 ***-*번지 대림상가 ***-*
4th row서울특별시 중구 산림동 ***-*번지 대림 ***-*
5th row서울특별시 중구 신당동 ***-**번지
ValueCountFrequency (%)
서울특별시 255
16.8%
중구 255
16.8%
번지 215
14.1%
산림동 150
9.9%
호 120
7.9%
89
 
5.8%
대림상가 80
 
5.3%
청계상가 48
 
3.2%
층 37
 
2.4%
을지로*가 26
 
1.7%
Other values (124) 247
16.2%
2024-04-06T22:22:24.059853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1676
21.7%
1485
19.2%
- 266
 
3.4%
서 262
 
3.4%
시 260
 
3.4%
울 259
 
3.4%
중 256
 
3.3%
특 255
 
3.3%
별 255
 
3.3%
구 255
 
3.3%
Other values (157) 2499
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4273
55.3%
Other Punctuation 1679
 
21.7%
Space Separator 1485
 
19.2%
Dash Punctuation 266
 
3.4%
Uppercase Letter 16
 
0.2%
Lowercase Letter 4
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 262
 
6.1%
시 260
 
6.1%
울 259
 
6.1%
중 256
 
6.0%
특 255
 
6.0%
별 255
 
6.0%
구 255
 
6.0%
림 247
 
5.8%
지 244
 
5.7%
동 227
 
5.3%
Other values (136) 1753
41.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
31.2%
B 3
18.8%
C 1
 
6.2%
K 1
 
6.2%
L 1
 
6.2%
T 1
 
6.2%
I 1
 
6.2%
S 1
 
6.2%
M 1
 
6.2%
E 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1676
99.8%
, 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4273
55.3%
Common 3435
44.4%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 262
 
6.1%
시 260
 
6.1%
울 259
 
6.1%
중 256
 
6.0%
특 255
 
6.0%
별 255
 
6.0%
구 255
 
6.0%
림 247
 
5.8%
지 244
 
5.7%
동 227
 
5.3%
Other values (136) 1753
41.0%
Latin
ValueCountFrequency (%)
A 5
25.0%
B 3
15.0%
C 1
 
5.0%
K 1
 
5.0%
L 1
 
5.0%
r 1
 
5.0%
e 1
 
5.0%
w 1
 
5.0%
o 1
 
5.0%
T 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
* 1676
48.8%
1485
43.2%
- 266
 
7.7%
, 3
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4273
55.3%
ASCII 3455
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1676
48.5%
1485
43.0%
- 266
 
7.7%
A 5
 
0.1%
B 3
 
0.1%
, 3
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
C 1
 
< 0.1%
K 1
 
< 0.1%
Other values (11) 11
 
0.3%
Hangul
ValueCountFrequency (%)
서 262
 
6.1%
시 260
 
6.1%
울 259
 
6.1%
중 256
 
6.0%
특 255
 
6.0%
별 255
 
6.0%
구 255
 
6.0%
림 247
 
5.8%
지 244
 
5.7%
동 227
 
5.3%
Other values (136) 1753
41.0%

도로명주소
Text

MISSING 

Distinct195
Distinct (%)83.0%
Missing20
Missing (%)7.8%
Memory size2.1 KiB
2024-04-06T22:22:24.281995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length34.931915
Min length22

Characters and Unicode

Total characters8209
Distinct characters182
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

Unique172 ?
Unique (%)73.2%

Sample

1st row서울특별시 중구 청계천로 *** (산림동, 청계상가 라열 ***,***호)
2nd row서울특별시 중구 을지로 *** (을지로*가,대림상가 ****)
3rd row서울특별시 중구 을지로 *** (산림동,대림상가 ***-*)
4th row서울특별시 중구 을지로 *** (산림동,대림 ***-*)
5th row서울특별시 중구 동호로**길 ** (신당동)
ValueCountFrequency (%)
272
17.4%
서울특별시 235
15.1%
중구 235
15.1%
호 130
 
8.3%
을지로 101
 
6.5%
청계천로 59
 
3.8%
산림동 57
 
3.7%
층 50
 
3.2%
산림동,대림상가 41
 
2.6%
대림상가 24
 
1.5%
Other values (172) 356
22.8%
2024-04-06T22:22:24.626390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1474
18.0%
1448
17.6%
, 275
 
3.3%
로 266
 
3.2%
서 248
 
3.0%
시 244
 
3.0%
울 239
 
2.9%
중 237
 
2.9%
) 237
 
2.9%
( 237
 
2.9%
Other values (172) 3304
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4458
54.3%
Other Punctuation 1749
 
21.3%
Space Separator 1448
 
17.6%
Close Punctuation 237
 
2.9%
Open Punctuation 237
 
2.9%
Dash Punctuation 59
 
0.7%
Uppercase Letter 16
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 266
 
6.0%
서 248
 
5.6%
시 244
 
5.5%
울 239
 
5.4%
중 237
 
5.3%
구 236
 
5.3%
별 235
 
5.3%
특 235
 
5.3%
림 228
 
5.1%
동 227
 
5.1%
Other values (151) 2063
46.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
31.2%
B 3
18.8%
M 1
 
6.2%
E 1
 
6.2%
S 1
 
6.2%
L 1
 
6.2%
K 1
 
6.2%
C 1
 
6.2%
T 1
 
6.2%
I 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
r 1
25.0%
e 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1474
84.3%
, 275
 
15.7%
Space Separator
ValueCountFrequency (%)
1448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4458
54.3%
Common 3731
45.5%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 266
 
6.0%
서 248
 
5.6%
시 244
 
5.5%
울 239
 
5.4%
중 237
 
5.3%
구 236
 
5.3%
별 235
 
5.3%
특 235
 
5.3%
림 228
 
5.1%
동 227
 
5.1%
Other values (151) 2063
46.3%
Latin
ValueCountFrequency (%)
A 5
25.0%
B 3
15.0%
M 1
 
5.0%
E 1
 
5.0%
S 1
 
5.0%
L 1
 
5.0%
K 1
 
5.0%
C 1
 
5.0%
o 1
 
5.0%
r 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
* 1474
39.5%
1448
38.8%
, 275
 
7.4%
) 237
 
6.4%
( 237
 
6.4%
- 59
 
1.6%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4458
54.3%
ASCII 3751
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1474
39.3%
1448
38.6%
, 275
 
7.3%
) 237
 
6.3%
( 237
 
6.3%
- 59
 
1.6%
A 5
 
0.1%
B 3
 
0.1%
M 1
 
< 0.1%
E 1
 
< 0.1%
Other values (11) 11
 
0.3%
Hangul
ValueCountFrequency (%)
로 266
 
6.0%
서 248
 
5.6%
시 244
 
5.5%
울 239
 
5.4%
중 237
 
5.3%
구 236
 
5.3%
별 235
 
5.3%
특 235
 
5.3%
림 228
 
5.1%
동 227
 
5.1%
Other values (151) 2063
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)36.0%
Missing144
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean10588.207
Minimum4507
Maximum100340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:24.754907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4507
5-th percentile4514.5
Q14543.5
median4545
Q34554.5
95-th percentile100266
Maximum100340
Range95833
Interquartile range (IQR)11

Descriptive statistics

Standard deviation23385.069
Coefficient of variation (CV)2.2085957
Kurtosis11.489045
Mean10588.207
Median Absolute Deviation (MAD)6
Skewness3.6444891
Sum1175291
Variance5.4686145 × 108
MonotonicityNot monotonic
2024-04-06T22:22:24.873525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4545 49
 
19.2%
100340 6
 
2.4%
4521 5
 
2.0%
4513 3
 
1.2%
4516 3
 
1.2%
4529 3
 
1.2%
4637 2
 
0.8%
4559 2
 
0.8%
4520 2
 
0.8%
4557 2
 
0.8%
Other values (30) 34
 
13.3%
(Missing) 144
56.5%
ValueCountFrequency (%)
4507 1
 
0.4%
4509 1
 
0.4%
4511 1
 
0.4%
4513 3
1.2%
4516 3
1.2%
4520 2
 
0.8%
4521 5
2.0%
4522 1
 
0.4%
4525 1
 
0.4%
4529 3
1.2%
ValueCountFrequency (%)
100340 6
2.4%
100192 1
 
0.4%
4637 2
 
0.8%
4635 1
 
0.4%
4627 1
 
0.4%
4623 2
 
0.8%
4615 1
 
0.4%
4600 1
 
0.4%
4598 1
 
0.4%
4597 1
 
0.4%

사업장명
Text

Distinct241
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-06T22:22:25.107182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length6.7058824
Min length2

Characters and Unicode

Total characters1710
Distinct characters295
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

Unique229 ?
Unique (%)89.8%

Sample

1st row대흥전자
2nd row대덕전자
3rd row프라임인터내셔날
4th row범우전자
5th row지티엔터프라이즈
ValueCountFrequency (%)
주식회사 9
 
3.1%
라이징 3
 
1.0%
약진전자(주 3
 
1.0%
썬 3
 
1.0%
게임토피아 2
 
0.7%
유한회사 2
 
0.7%
소프트 2
 
0.7%
제이텍 2
 
0.7%
백프로닷컴 2
 
0.7%
신오소프트 2
 
0.7%
Other values (251) 257
89.5%
2024-04-06T22:22:25.448698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 93
 
5.4%
( 91
 
5.3%
) 91
 
5.3%
이 60
 
3.5%
전 52
 
3.0%
트 49
 
2.9%
자 47
 
2.7%
스 40
 
2.3%
아 36
 
2.1%
32
 
1.9%
Other values (285) 1119
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1398
81.8%
Open Punctuation 91
 
5.3%
Close Punctuation 91
 
5.3%
Uppercase Letter 56
 
3.3%
Space Separator 32
 
1.9%
Lowercase Letter 27
 
1.6%
Other Punctuation 11
 
0.6%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 93
 
6.7%
이 60
 
4.3%
전 52
 
3.7%
트 49
 
3.5%
자 47
 
3.4%
스 40
 
2.9%
아 36
 
2.6%
프 28
 
2.0%
소 22
 
1.6%
즈 21
 
1.5%
Other values (241) 950
68.0%
Uppercase Letter
ValueCountFrequency (%)
G 7
12.5%
S 7
12.5%
Y 5
 
8.9%
O 4
 
7.1%
J 4
 
7.1%
M 3
 
5.4%
K 3
 
5.4%
T 3
 
5.4%
P 3
 
5.4%
D 3
 
5.4%
Other values (9) 14
25.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
14.8%
a 3
11.1%
e 2
 
7.4%
c 2
 
7.4%
o 2
 
7.4%
i 2
 
7.4%
r 2
 
7.4%
t 2
 
7.4%
l 1
 
3.7%
y 1
 
3.7%
Other values (6) 6
22.2%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
& 5
45.5%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1398
81.8%
Common 229
 
13.4%
Latin 83
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 93
 
6.7%
이 60
 
4.3%
전 52
 
3.7%
트 49
 
3.5%
자 47
 
3.4%
스 40
 
2.9%
아 36
 
2.6%
프 28
 
2.0%
소 22
 
1.6%
즈 21
 
1.5%
Other values (241) 950
68.0%
Latin
ValueCountFrequency (%)
G 7
 
8.4%
S 7
 
8.4%
Y 5
 
6.0%
O 4
 
4.8%
J 4
 
4.8%
n 4
 
4.8%
M 3
 
3.6%
K 3
 
3.6%
a 3
 
3.6%
T 3
 
3.6%
Other values (25) 40
48.2%
Common
ValueCountFrequency (%)
( 91
39.7%
) 91
39.7%
32
 
14.0%
. 6
 
2.6%
& 5
 
2.2%
4 1
 
0.4%
2 1
 
0.4%
- 1
 
0.4%
+ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1398
81.8%
ASCII 312
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 93
 
6.7%
이 60
 
4.3%
전 52
 
3.7%
트 49
 
3.5%
자 47
 
3.4%
스 40
 
2.9%
아 36
 
2.6%
프 28
 
2.0%
소 22
 
1.6%
즈 21
 
1.5%
Other values (241) 950
68.0%
ASCII
ValueCountFrequency (%)
( 91
29.2%
) 91
29.2%
32
 
10.3%
G 7
 
2.2%
S 7
 
2.2%
. 6
 
1.9%
Y 5
 
1.6%
& 5
 
1.6%
O 4
 
1.3%
J 4
 
1.3%
Other values (34) 60
19.2%

최종수정일자
Date

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2006-03-03 11:47:46
Maximum2024-03-11 11:16:41
2024-04-06T22:22:25.580113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:22:25.730195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
228 
U
27 

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 228
89.4%
U 27
 
10.6%

Length

2024-04-06T22:22:25.868371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:25.986006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 228
89.4%
u 27
 
10.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct35
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2018-08-31 23:59:59.0
219 
2021-12-03 22:00:00.0
 
2
2021-04-24 02:40:00.0
 
2
2019-10-30 02:40:00.0
 
1
2021-10-31 22:04:00.0
 
1
Other values (30)
30 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique32 ?
Unique (%)12.5%

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 23:59:59.0 219
85.9%
2021-12-03 22:00:00.0 2
 
0.8%
2021-04-24 02:40:00.0 2
 
0.8%
2019-10-30 02:40:00.0 1
 
0.4%
2021-10-31 22:04:00.0 1
 
0.4%
2021-06-26 02:40:00.0 1
 
0.4%
2019-07-11 02:40:00.0 1
 
0.4%
2021-11-17 02:40:00.0 1
 
0.4%
2019-02-24 02:40:00.0 1
 
0.4%
2018-10-24 02:35:59.0 1
 
0.4%
Other values (25) 25
 
9.8%

Length

2024-04-06T22:22:26.091921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 219
42.9%
23:59:59.0 219
42.9%
02:40:00.0 20
 
3.9%
22:00:00.0 3
 
0.6%
2021-12-03 2
 
0.4%
2021-04-24 2
 
0.4%
2019-06-23 2
 
0.4%
2021-04-29 1
 
0.2%
23:08:00.0 1
 
0.2%
2022-03-17 1
 
0.2%
Other values (40) 40
 
7.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)32.8%
Missing20
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean199371.72
Minimum197118.98
Maximum201781.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:26.295525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197118.98
5-th percentile197763.59
Q1199521.2
median199526.42
Q3199526.42
95-th percentile200863.14
Maximum201781.41
Range4662.4238
Interquartile range (IQR)5.2153301

Descriptive statistics

Standard deviation777.42521
Coefficient of variation (CV)0.0038993756
Kurtosis1.8063738
Mean199371.72
Median Absolute Deviation (MAD)5.2153301
Skewness-0.53806939
Sum46852354
Variance604389.96
MonotonicityNot monotonic
2024-04-06T22:22:26.508595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199526.416139264 81
31.8%
199521.200809167 51
20.0%
199534.329650967 13
 
5.1%
200912.763957462 6
 
2.4%
198306.905839189 5
 
2.0%
197546.591214324 2
 
0.8%
197791.105095409 2
 
0.8%
197901.591381115 2
 
0.8%
199810.591813598 2
 
0.8%
197346.664858178 2
 
0.8%
Other values (67) 69
27.1%
(Missing) 20
 
7.8%
ValueCountFrequency (%)
197118.982921493 1
0.4%
197195.560435667 1
0.4%
197204.402975748 1
0.4%
197326.935085069 1
0.4%
197346.664858178 2
0.8%
197408.038213908 1
0.4%
197424.712852952 1
0.4%
197546.591214324 2
0.8%
197566.862311117 1
0.4%
197699.396252332 1
0.4%
ValueCountFrequency (%)
201781.406712018 1
 
0.4%
201749.522310148 1
 
0.4%
201056.899584861 1
 
0.4%
201016.89007232 1
 
0.4%
200958.815664612 1
 
0.4%
200918.320331305 1
 
0.4%
200912.763957462 6
2.4%
200841.86944868 1
 
0.4%
200827.000135121 1
 
0.4%
200721.553140234 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)32.8%
Missing20
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean451465.24
Minimum449825.43
Maximum451864.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:26.639617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449825.43
5-th percentile450233.06
Q1451403.31
median451693.21
Q3451750.49
95-th percentile451751.42
Maximum451864.75
Range2039.3278
Interquartile range (IQR)347.17865

Descriptive statistics

Standard deviation460.70804
Coefficient of variation (CV)0.0010204729
Kurtosis2.636283
Mean451465.24
Median Absolute Deviation (MAD)58.212876
Skewness-1.8911138
Sum1.0609433 × 108
Variance212251.9
MonotonicityNot monotonic
2024-04-06T22:22:26.768036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451693.211256949 81
31.8%
451751.424132583 51
20.0%
451608.222852119 13
 
5.1%
450078.855010335 6
 
2.4%
451808.098341971 5
 
2.0%
451007.28036878 2
 
0.8%
450173.966697254 2
 
0.8%
450558.528407008 2
 
0.8%
451300.59780961 2
 
0.8%
451164.44975357 2
 
0.8%
Other values (67) 69
27.1%
(Missing) 20
 
7.8%
ValueCountFrequency (%)
449825.425393315 1
 
0.4%
449975.690020504 1
 
0.4%
450078.855010335 6
2.4%
450135.992555205 1
 
0.4%
450173.966697254 2
 
0.8%
450183.509346463 1
 
0.4%
450254.293571435 1
 
0.4%
450275.399989343 1
 
0.4%
450423.826271111 1
 
0.4%
450429.736770424 1
 
0.4%
ValueCountFrequency (%)
451864.753229706 1
 
0.4%
451834.304529441 1
 
0.4%
451808.098341971 5
 
2.0%
451765.135412175 1
 
0.4%
451751.424132583 51
20.0%
451749.559273051 1
 
0.4%
451694.842893728 1
 
0.4%
451694.035675644 1
 
0.4%
451693.211256949 81
31.8%
451692.723410528 1
 
0.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
게임물배급업
247 
<NA>
 
8

Length

Max length6
Median length6
Mean length5.9372549
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:26.901463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:27.000189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 247
96.9%
na 8
 
3.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유통관련업
247 
<NA>
 
8

Length

Max length5
Median length5
Mean length4.9686275
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:27.088589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:27.172899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 247
96.9%
na 8
 
3.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.4%
Missing8
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.17004049
Minimum0
Maximum15
Zeros240
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:27.249215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1976574
Coefficient of variation (CV)7.0433663
Kurtosis102.39006
Mean0.17004049
Median Absolute Deviation (MAD)0
Skewness9.3582022
Sum42
Variance1.4343833
MonotonicityNot monotonic
2024-04-06T22:22:27.344652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 240
94.1%
4 2
 
0.8%
5 2
 
0.8%
15 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
(Missing) 8
 
3.1%
ValueCountFrequency (%)
0 240
94.1%
2 1
 
0.4%
4 2
 
0.8%
5 2
 
0.8%
7 1
 
0.4%
15 1
 
0.4%
ValueCountFrequency (%)
15 1
 
0.4%
7 1
 
0.4%
5 2
 
0.8%
4 2
 
0.8%
2 1
 
0.4%
0 240
94.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing251
Missing (%)98.4%
Memory size2.1 KiB
2024-04-06T22:22:27.465401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length4.25
Min length2

Characters and Unicode

Total characters17
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row기타
2nd row주택가주변
3rd row유흥업소밀집지역
4th row기타
ValueCountFrequency (%)
기타 2
50.0%
주택가주변 1
25.0%
유흥업소밀집지역 1
25.0%
2024-04-06T22:22:28.044692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
11.8%
타 2
11.8%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
유 1
 
5.9%
흥 1
 
5.9%
업 1
 
5.9%
소 1
 
5.9%
Other values (4) 4
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
11.8%
타 2
11.8%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
유 1
 
5.9%
흥 1
 
5.9%
업 1
 
5.9%
소 1
 
5.9%
Other values (4) 4
23.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
11.8%
타 2
11.8%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
유 1
 
5.9%
흥 1
 
5.9%
업 1
 
5.9%
소 1
 
5.9%
Other values (4) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
11.8%
타 2
11.8%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
유 1
 
5.9%
흥 1
 
5.9%
업 1
 
5.9%
소 1
 
5.9%
Other values (4) 4
23.5%

제작취급품목내용
Categorical

IMBALANCE 

Distinct42
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
게임물
182 
<NA>
20 
게임기
 
7
모바일게임
 
4
게임배급업
 
2
Other values (37)
40 

Length

Max length22
Median length3
Mean length4.0039216
Min length2

Unique

Unique34 ?
Unique (%)13.3%

Sample

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

Common Values

ValueCountFrequency (%)
게임물 182
71.4%
<NA> 20
 
7.8%
게임기 7
 
2.7%
모바일게임 4
 
1.6%
게임배급업 2
 
0.8%
아케이드 게임기 2
 
0.8%
아케이드게임물 2
 
0.8%
아케이드게임 2
 
0.8%
청소년 아케이드 게임 1
 
0.4%
게임물(아케이드) 1
 
0.4%
Other values (32) 32
 
12.5%

Length

2024-04-06T22:22:28.187755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
게임물 183
65.1%
na 20
 
7.1%
게임기 9
 
3.2%
게임 7
 
2.5%
모바일 5
 
1.8%
아케이드 4
 
1.4%
모바일게임 4
 
1.4%
온라인 3
 
1.1%
게임배급업 2
 
0.7%
아케이드게임물 2
 
0.7%
Other values (39) 42
 
14.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)29.6%
Missing8
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean248.10069
Minimum0
Maximum41598.11
Zeros138
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T22:22:28.356113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321
95-th percentile103.5
Maximum41598.11
Range41598.11
Interquartile range (IQR)21

Descriptive statistics

Standard deviation2691.9246
Coefficient of variation (CV)10.85013
Kurtosis229.02635
Mean248.10069
Median Absolute Deviation (MAD)0
Skewness14.923327
Sum61280.87
Variance7246458.2
MonotonicityNot monotonic
2024-04-06T22:22:28.508490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 138
54.1%
10.0 10
 
3.9%
33.0 7
 
2.7%
1.0 4
 
1.6%
16.5 3
 
1.2%
16.15 3
 
1.2%
75.9 3
 
1.2%
83.64 3
 
1.2%
14.17 2
 
0.8%
7.2 2
 
0.8%
Other values (63) 72
28.2%
(Missing) 8
 
3.1%
ValueCountFrequency (%)
0.0 138
54.1%
1.0 4
 
1.6%
2.0 2
 
0.8%
5.0 1
 
0.4%
5.75 1
 
0.4%
6.27 1
 
0.4%
6.74 1
 
0.4%
7.2 2
 
0.8%
8.0 1
 
0.4%
9.26 1
 
0.4%
ValueCountFrequency (%)
41598.11 1
0.4%
6736.89 1
0.4%
4144.25 1
0.4%
1471.8 1
0.4%
819.14 1
0.4%
766.94 1
0.4%
661.69 1
0.4%
597.4 1
0.4%
489.0 1
0.4%
436.35 1
0.4%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
240 
<NA>
 
8
4
 
3
3
 
2
6
 
1

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 240
94.1%
<NA> 8
 
3.1%
4 3
 
1.2%
3 2
 
0.8%
6 1
 
0.4%
2 1
 
0.4%

Length

2024-04-06T22:22:28.646925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:28.761569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 240
94.1%
na 8
 
3.1%
4 3
 
1.2%
3 2
 
0.8%
6 1
 
0.4%
2 1
 
0.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
241 
<NA>
 
8
1
 
4
2
 
2

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 241
94.5%
<NA> 8
 
3.1%
1 4
 
1.6%
2 2
 
0.8%

Length

2024-04-06T22:22:28.879238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:28.998142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 241
94.5%
na 8
 
3.1%
1 4
 
1.6%
2 2
 
0.8%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing251
Missing (%)98.4%
Memory size2.1 KiB
2024-04-06T22:22:29.123035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters18
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row사무실
3rd row사무실
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
50.0%
사무실 2
50.0%
2024-04-06T22:22:29.395439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
247 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:29.530161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:29.621644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
96.9%
na 8
 
3.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
247 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:29.731478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:29.820072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
96.9%
na 8
 
3.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
247 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:29.910854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:30.004585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
96.9%
na 8
 
3.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
247 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:30.099071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:30.192041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
96.9%
na 8
 
3.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
247 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 247
96.9%
<NA> 8
 
3.1%

Length

2024-04-06T22:22:30.295692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:30.387858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 247
96.9%
na 8
 
3.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
249 
상업지역
 
3
주거지역
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 249
97.6%
상업지역 3
 
1.2%
주거지역 3
 
1.2%

Length

2024-04-06T22:22:30.484516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:22:30.583440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 249
97.6%
상업지역 3
 
1.2%
주거지역 3
 
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF224112199900000119990917<NA>1영업/정상13영업중<NA><NA><NA><NA>2268-1528<NA><NA>서울특별시 중구 산림동 ***-*번지 청계상가 라열 ***,***호서울특별시 중구 청계천로 *** (산림동, 청계상가 라열 ***,***호)4545대흥전자2014-01-06 14:52:08I2018-08-31 23:59:59.0<NA>199521.200809451751.424133게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF224112199900000219990920<NA>1영업/정상13영업중<NA><NA><NA><NA>2271-3362<NA>100848서울특별시 중구 을지로*가 *-*번지 대림상가 ****서울특별시 중구 을지로 *** (을지로*가,대림상가 ****)<NA>대덕전자2007-03-28 10:58:24I2018-08-31 23:59:59.0<NA>199534.329651451608.222852게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF224112199900000319991009<NA>1영업/정상13영업중<NA><NA><NA><NA>2264-2631<NA>100340서울특별시 중구 산림동 ***-*번지 대림상가 ***-*서울특별시 중구 을지로 *** (산림동,대림상가 ***-*)<NA>프라임인터내셔날2007-03-28 13:27:03I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF224112199900000419991013<NA>1영업/정상13영업중<NA><NA><NA><NA>2274-2368<NA>100340서울특별시 중구 산림동 ***-*번지 대림 ***-*서울특별시 중구 을지로 *** (산림동,대림 ***-*)<NA>범우전자2007-03-28 13:26:45I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF224112199900000519991111<NA>1영업/정상13영업중<NA><NA><NA><NA>2252-3223<NA>100840서울특별시 중구 신당동 ***-**번지서울특별시 중구 동호로**길 ** (신당동)<NA>지티엔터프라이즈2007-03-28 13:26:24I2018-08-31 23:59:59.0<NA>200958.815665450254.293571게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF224112199900000619991111<NA>1영업/정상13영업중<NA><NA><NA><NA>2275-3685<NA>100832서울특별시 중구 신당동 ***-*번지서울특별시 중구 청구로 *** (신당동)<NA>우남전자2007-03-28 13:26:04I2018-08-31 23:59:59.0<NA>200827.000135451060.21052게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF224112199900000719991115<NA>1영업/정상13영업중<NA><NA><NA><NA>2269-1830<NA>100848서울특별시 중구 을지로*가 *-*번지 대림상가 *층 나열 ***서울특별시 중구 을지로 *** (을지로*가,대림상가 *층 나열 ***)<NA>동호상사2007-03-28 13:25:34I2018-08-31 23:59:59.0<NA>199534.329651451608.222852게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF224112199900000819991115<NA>1영업/정상13영업중<NA><NA><NA><NA>2268-1199<NA>100847서울특별시 중구 을지로*가 ***번지 경진빌딩 ***호서울특별시 중구 을지로**길 *-* (을지로*가,경진빌딩 ***호)<NA>동영종합상사2007-03-28 13:25:13I2018-08-31 23:59:59.0<NA>199317.401788451626.023027게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF224112199900000919991012<NA>1영업/정상13영업중<NA><NA><NA><NA>2264-4014<NA>100340서울특별시 중구 산림동 ***-*번지 대림상가 나-***서울특별시 중구 을지로 *** (산림동,대림상가 나-***)<NA>(주)동성원더파크2007-03-28 14:30:08I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF224112199900001019990814<NA>1영업/정상13영업중<NA><NA><NA><NA>319-1808<NA>100804서울특별시 중구 남창동 **-*번지 유송상가 *층서울특별시 중구 남대문시장*길 **-** (남창동,유송상가 *층)<NA>찬기획2007-03-28 15:32:39I2018-08-31 23:59:59.0<NA>197955.374948450712.583221게임물배급업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2453010000CDFF224112202100000420210804<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 **층 ****호 (다동)4521코구(주)2021-08-23 10:58:32U2021-08-25 02:40:00.0<NA>198306.905839451808.098342게임물배급업유통관련업0<NA>모바일 및 PC 게임46.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
2463010000CDFF224112202200000120220210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 산림동 ***-* 대림상가서울특별시 중구 을지로 ***, 대림상가 *층 나***호 (산림동)4545더 좋은 게임2022-02-10 12:39:59I2022-02-12 00:22:38.0<NA>199526.416139451693.211257게임물배급업유통관련업0<NA>아케이드 게임14.1700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
2473010000CDFF224112202200000220200624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 ****호 (다동)4521(주)키네틱랩2022-03-04 14:39:16I2022-03-06 00:22:36.0<NA>198306.905839451808.098342게임물배급업유통관련업0<NA>모바일게임16.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
2483010000CDFF224112202200000320140502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 **-* 티엔에스빌딩서울특별시 중구 서애로 **, 티엔에스빌딩 *-*층 (필동*가)4623(주)아이덴티티게임즈2022-04-18 17:28:47U2021-12-03 22:00:00.0<NA>199633.66916450813.801387<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>
2493010000CDFF224112202200000420151109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 **-* 티엔에스빌딩서울특별시 중구 서애로 **, 티엔에스빌딩 *층,*층,*층 (필동*가)4623(주)액토즈소프트2022-04-18 17:28:18U2021-12-03 22:00:00.0<NA>199633.66916450813.801387<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>
2503010000CDFF224112202200000520220315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 쌍림동 ***-** 쌍림빌딩서울특별시 중구 퇴계로 ***, 쌍림빌딩 *층 ***호 (쌍림동)4615(주)투모로우 게임네트워크2022-03-15 14:36:12I2022-03-17 00:22:35.0<NA>200247.098068451193.48296게임물배급업유통관련업0<NA>온라인게임, RPG게임,블록체인게임 등6.7400<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
2513010000CDFF224112202200000620220516<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 **-** 굿모닝시티쇼핑몰서울특별시 중구 장충단로 ***, 굿모닝시티쇼핑몰 *층 ***호 (을지로*가)4564(주)나인헥타르2022-05-16 11:58:01I2021-12-04 23:08:00.0<NA>200573.641274451621.036468<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>
2523010000CDFF22411220230000012023-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 산림동 ***-* 대림상가서울특별시 중구 을지로 ***, 대림상가 *층 ***-*호 (산림동)4545지앤지어뮤즈먼트(G&G)2023-11-18 17:12:46U2022-10-31 22:00:00.0<NA>199526.416139451693.211257<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>
2533010000CDFF22411220240000012024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 서소문동 *** 퍼시픽타워서울특별시 중구 세종대로*길 **, 퍼시픽타워 **층 (서소문동)4513샤넬코리아 유한회사2024-01-25 11:43:09I2023-11-30 22:07:00.0<NA>197546.591214451007.280369<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>
2543010000CDFF22411220240000022019-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 **층 ****호 (다동)4521주식회사 카셀게임즈2024-03-11 11:16:41U2023-12-02 23:03:00.0<NA>198306.905839451808.098342<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>