Overview

Dataset statistics

Number of variables56
Number of observations388
Missing cells9945
Missing cells (%)45.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory184.3 KiB
Average record size in memory486.3 B

Variable types

Categorical17
Text6
DateTime4
Numeric8
Unsupported21

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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-16708/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.1%)Imbalance
영업상태코드 is highly imbalanced (52.4%)Imbalance
영업상태명 is highly imbalanced (52.4%)Imbalance
상세영업상태명 is highly imbalanced (61.4%)Imbalance
주변환경명 is highly imbalanced (88.5%)Imbalance
지하층수 is highly imbalanced (73.1%)Imbalance
건물용도명 is highly imbalanced (90.4%)Imbalance
통로너비 is highly imbalanced (88.5%)Imbalance
조명시설조도 is highly imbalanced (88.5%)Imbalance
노래방실수 is highly imbalanced (88.5%)Imbalance
청소년실수 is highly imbalanced (88.5%)Imbalance
총게임기수 is highly imbalanced (88.5%)Imbalance
지역구분명 is highly imbalanced (77.6%)Imbalance
폐업일자 has 308 (79.4%) missing valuesMissing
휴업시작일자 has 388 (100.0%) missing valuesMissing
휴업종료일자 has 388 (100.0%) missing valuesMissing
재개업일자 has 388 (100.0%) missing valuesMissing
전화번호 has 205 (52.8%) missing valuesMissing
소재지면적 has 388 (100.0%) missing valuesMissing
소재지우편번호 has 320 (82.5%) missing valuesMissing
도로명우편번호 has 126 (32.5%) missing valuesMissing
업태구분명 has 388 (100.0%) missing valuesMissing
총층수 has 341 (87.9%) missing valuesMissing
제작취급품목내용 has 56 (14.4%) missing valuesMissing
시설면적 has 116 (29.9%) missing valuesMissing
지상층수 has 325 (83.8%) missing valuesMissing
비상계단여부 has 388 (100.0%) missing valuesMissing
비상구여부 has 388 (100.0%) missing valuesMissing
자동환기여부 has 388 (100.0%) missing valuesMissing
청소년실여부 has 388 (100.0%) missing valuesMissing
특수조명여부 has 388 (100.0%) missing valuesMissing
방음시설여부 has 388 (100.0%) missing valuesMissing
비디오재생기명 has 388 (100.0%) missing valuesMissing
조명시설유무 has 388 (100.0%) missing valuesMissing
음향시설여부 has 388 (100.0%) missing valuesMissing
편의시설여부 has 388 (100.0%) missing valuesMissing
소방시설여부 has 388 (100.0%) missing valuesMissing
기존게임업외업종명 has 388 (100.0%) missing valuesMissing
제공게임물명 has 388 (100.0%) missing valuesMissing
공연장형태구분명 has 388 (100.0%) missing valuesMissing
품목명 has 388 (100.0%) missing valuesMissing
최초등록시점 has 388 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 6 (1.5%) zerosZeros
지상층수 has 6 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-11 00:58:30.845717
Analysis finished2024-05-11 00:58:32.390277
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
3170000
388 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 388
100.0%

Length

2024-05-11T00:58:32.620662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:32.975178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 388
100.0%

관리번호
Text

UNIQUE 

Distinct388
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T00:58:33.452351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7760
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

Unique388 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241082000000002
4th rowCDFF2241082000000003
5th rowCDFF2241082000000004
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.3%
cdff2241082014000027 1
 
0.3%
cdff2241082016000008 1
 
0.3%
cdff2241082016000007 1
 
0.3%
cdff2241082016000006 1
 
0.3%
cdff2241082016000005 1
 
0.3%
cdff2241082016000003 1
 
0.3%
cdff2241082016000002 1
 
0.3%
cdff2241082015000020 1
 
0.3%
cdff2241082015000018 1
 
0.3%
Other values (378) 378
97.4%
2024-05-11T00:58:34.358547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2692
34.7%
2 1355
17.5%
1 829
 
10.7%
F 776
 
10.0%
4 463
 
6.0%
8 457
 
5.9%
C 388
 
5.0%
D 388
 
5.0%
3 118
 
1.5%
7 81
 
1.0%
Other values (3) 213
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6208
80.0%
Uppercase Letter 1552
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2692
43.4%
2 1355
21.8%
1 829
 
13.4%
4 463
 
7.5%
8 457
 
7.4%
3 118
 
1.9%
7 81
 
1.3%
5 74
 
1.2%
9 73
 
1.2%
6 66
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 776
50.0%
C 388
25.0%
D 388
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6208
80.0%
Latin 1552
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2692
43.4%
2 1355
21.8%
1 829
 
13.4%
4 463
 
7.5%
8 457
 
7.4%
3 118
 
1.9%
7 81
 
1.3%
5 74
 
1.2%
9 73
 
1.2%
6 66
 
1.1%
Latin
ValueCountFrequency (%)
F 776
50.0%
C 388
25.0%
D 388
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2692
34.7%
2 1355
17.5%
1 829
 
10.7%
F 776
 
10.0%
4 463
 
6.0%
8 457
 
5.9%
C 388
 
5.0%
D 388
 
5.0%
3 118
 
1.5%
7 81
 
1.0%
Other values (3) 213
 
2.7%

인허가일자
Date

Distinct366
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1999-06-07 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T00:58:34.884757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:58:35.425588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
384 
20081112
 
2
20090427
 
1
20130401
 
1

Length

Max length8
Median length4
Mean length4.0412371
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20081112

Common Values

ValueCountFrequency (%)
<NA> 384
99.0%
20081112 2
 
0.5%
20090427 1
 
0.3%
20130401 1
 
0.3%

Length

2024-05-11T00:58:35.960366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:36.394765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 384
99.0%
20081112 2
 
0.5%
20090427 1
 
0.3%
20130401 1
 
0.3%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
303 
3
69 
4
 
8
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 303
78.1%
3 69
 
17.8%
4 8
 
2.1%
5 8
 
2.1%

Length

2024-05-11T00:58:36.798065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:37.178098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 303
78.1%
3 69
 
17.8%
4 8
 
2.1%
5 8
 
2.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업/정상
303 
폐업
69 
취소/말소/만료/정지/중지
 
8
제외/삭제/전출
 
8

Length

Max length14
Median length5
Mean length4.7139175
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 303
78.1%
폐업 69
 
17.8%
취소/말소/만료/정지/중지 8
 
2.1%
제외/삭제/전출 8
 
2.1%

Length

2024-05-11T00:58:37.675009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:38.073811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 303
78.1%
폐업 69
 
17.8%
취소/말소/만료/정지/중지 8
 
2.1%
제외/삭제/전출 8
 
2.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.677835
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:58:38.556425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.9511123
Coefficient of variation (CV)0.42397518
Kurtosis6.297136
Mean11.677835
Median Absolute Deviation (MAD)0
Skewness0.75995205
Sum4531
Variance24.513513
MonotonicityNot monotonic
2024-05-11T00:58:38.978858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 302
77.8%
3 69
 
17.8%
15 8
 
2.1%
31 4
 
1.0%
35 4
 
1.0%
14 1
 
0.3%
ValueCountFrequency (%)
3 69
 
17.8%
13 302
77.8%
14 1
 
0.3%
15 8
 
2.1%
31 4
 
1.0%
35 4
 
1.0%
ValueCountFrequency (%)
35 4
 
1.0%
31 4
 
1.0%
15 8
 
2.1%
14 1
 
0.3%
13 302
77.8%
3 69
 
17.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업중
302 
폐업
69 
전출
 
8
등록취소
 
4
직권말소
 
4

Length

Max length4
Median length3
Mean length2.8195876
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 302
77.8%
폐업 69
 
17.8%
전출 8
 
2.1%
등록취소 4
 
1.0%
직권말소 4
 
1.0%
전입 1
 
0.3%

Length

2024-05-11T00:58:39.713808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:40.485099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 302
77.8%
폐업 69
 
17.8%
전출 8
 
2.1%
등록취소 4
 
1.0%
직권말소 4
 
1.0%
전입 1
 
0.3%

폐업일자
Date

MISSING 

Distinct73
Distinct (%)91.2%
Missing308
Missing (%)79.4%
Memory size3.2 KiB
Minimum2007-06-22 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T00:58:41.129286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:58:41.810014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct179
Distinct (%)97.8%
Missing205
Missing (%)52.8%
Memory size3.2 KiB
2024-05-11T00:58:42.890477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.956284
Min length8

Characters and Unicode

Total characters2005
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)95.6%

Sample

1st row865-0018
2nd row2026-2500
3rd row809-2007
4th row894-6663~4
5th row2025-4141
ValueCountFrequency (%)
02-2026-4521 2
 
1.1%
070-8655-9087 2
 
1.1%
02-568-0010 2
 
1.1%
02-2624-1180 2
 
1.1%
02-2027-5583 1
 
0.5%
02-863-8870 1
 
0.5%
02-6959-0054 1
 
0.5%
070-4706-8601 1
 
0.5%
02-831-2550 1
 
0.5%
02-3289-9202 1
 
0.5%
Other values (169) 169
92.3%
2024-05-11T00:58:44.271610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 387
19.3%
- 304
15.2%
2 283
14.1%
6 168
8.4%
8 149
 
7.4%
7 135
 
6.7%
5 129
 
6.4%
1 129
 
6.4%
4 116
 
5.8%
3 107
 
5.3%
Other values (3) 98
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1691
84.3%
Dash Punctuation 304
 
15.2%
Close Punctuation 9
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 387
22.9%
2 283
16.7%
6 168
9.9%
8 149
 
8.8%
7 135
 
8.0%
5 129
 
7.6%
1 129
 
7.6%
4 116
 
6.9%
3 107
 
6.3%
9 88
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 387
19.3%
- 304
15.2%
2 283
14.1%
6 168
8.4%
8 149
 
7.4%
7 135
 
6.7%
5 129
 
6.4%
1 129
 
6.4%
4 116
 
5.8%
3 107
 
5.3%
Other values (3) 98
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 387
19.3%
- 304
15.2%
2 283
14.1%
6 168
8.4%
8 149
 
7.4%
7 135
 
6.7%
5 129
 
6.4%
1 129
 
6.4%
4 116
 
5.8%
3 107
 
5.3%
Other values (3) 98
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)29.4%
Missing320
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean153792.25
Minimum153030
Maximum153861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:58:44.834917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153030
5-th percentile153772.75
Q1153801
median153803
Q3153803
95-th percentile153829
Maximum153861
Range831
Interquartile range (IQR)2

Descriptive statistics

Standard deviation95.665988
Coefficient of variation (CV)0.00062204687
Kurtosis62.667079
Mean153792.25
Median Absolute Deviation (MAD)2
Skewness-7.7594668
Sum10457873
Variance9151.9813
MonotonicityNot monotonic
2024-05-11T00:58:45.282334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
153803 25
 
6.4%
153801 8
 
2.1%
153776 6
 
1.5%
153829 4
 
1.0%
153802 4
 
1.0%
153786 3
 
0.8%
153820 3
 
0.8%
153823 3
 
0.8%
153860 1
 
0.3%
153792 1
 
0.3%
Other values (10) 10
 
2.6%
(Missing) 320
82.5%
ValueCountFrequency (%)
153030 1
 
0.3%
153759 1
 
0.3%
153769 1
 
0.3%
153771 1
 
0.3%
153776 6
1.5%
153781 1
 
0.3%
153786 3
 
0.8%
153792 1
 
0.3%
153801 8
2.1%
153802 4
1.0%
ValueCountFrequency (%)
153861 1
 
0.3%
153860 1
 
0.3%
153833 1
 
0.3%
153829 4
 
1.0%
153828 1
 
0.3%
153825 1
 
0.3%
153823 3
 
0.8%
153820 3
 
0.8%
153814 1
 
0.3%
153803 25
6.4%

지번주소
Text

Distinct290
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T00:58:45.754020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length34.561856
Min length18

Characters and Unicode

Total characters13410
Distinct characters179
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

Unique230 ?
Unique (%)59.3%

Sample

1st row서울특별시 금천구 가산동 ***-**번지 대륭테크노타운 ***호
2nd row서울특별시 금천구 가산동 ***-**번지
3rd row서울특별시 금천구 가산동 ***-**번지 우림라이온스밸리 c동 ***호
4th row서울특별시 금천구 독산동 ****번지
5th row서울특별시 금천구 시흥동 ***-*번지
ValueCountFrequency (%)
서울특별시 388
16.8%
금천구 388
16.8%
가산동 337
14.6%
번지 301
13.1%
호 252
10.9%
88
 
3.8%
독산동 34
 
1.5%
우림라이온스밸리 30
 
1.3%
에이스하이엔드타워*차 27
 
1.2%
a동 22
 
1.0%
Other values (157) 437
19.0%
2024-05-11T00:58:46.964697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2858
21.3%
2020
 
15.1%
동 464
 
3.5%
산 435
 
3.2%
시 422
 
3.1%
서 394
 
2.9%
울 390
 
2.9%
금 389
 
2.9%
천 389
 
2.9%
구 388
 
2.9%
Other values (169) 5261
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7888
58.8%
Other Punctuation 2869
 
21.4%
Space Separator 2020
 
15.1%
Dash Punctuation 384
 
2.9%
Uppercase Letter 224
 
1.7%
Lowercase Letter 10
 
0.1%
Decimal Number 9
 
0.1%
Math Symbol 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 464
 
5.9%
산 435
 
5.5%
시 422
 
5.3%
서 394
 
5.0%
울 390
 
4.9%
금 389
 
4.9%
천 389
 
4.9%
구 388
 
4.9%
별 388
 
4.9%
특 388
 
4.9%
Other values (136) 3841
48.7%
Uppercase Letter
ValueCountFrequency (%)
I 38
17.0%
C 34
15.2%
T 27
12.1%
B 25
11.2%
A 22
9.8%
Y 22
9.8%
H 20
8.9%
S 11
 
4.9%
G 10
 
4.5%
J 8
 
3.6%
Other values (3) 7
 
3.1%
Decimal Number
ValueCountFrequency (%)
5 3
33.3%
2 2
22.2%
0 1
 
11.1%
9 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
40.0%
b 2
20.0%
a 2
20.0%
i 1
 
10.0%
t 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 2858
99.6%
, 8
 
0.3%
/ 2
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7888
58.8%
Common 5288
39.4%
Latin 234
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 464
 
5.9%
산 435
 
5.5%
시 422
 
5.3%
서 394
 
5.0%
울 390
 
4.9%
금 389
 
4.9%
천 389
 
4.9%
구 388
 
4.9%
별 388
 
4.9%
특 388
 
4.9%
Other values (136) 3841
48.7%
Latin
ValueCountFrequency (%)
I 38
16.2%
C 34
14.5%
T 27
11.5%
B 25
10.7%
A 22
9.4%
Y 22
9.4%
H 20
8.5%
S 11
 
4.7%
G 10
 
4.3%
J 8
 
3.4%
Other values (8) 17
7.3%
Common
ValueCountFrequency (%)
* 2858
54.0%
2020
38.2%
- 384
 
7.3%
, 8
 
0.2%
5 3
 
0.1%
~ 2
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
2 2
 
< 0.1%
/ 2
 
< 0.1%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7888
58.8%
ASCII 5522
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2858
51.8%
2020
36.6%
- 384
 
7.0%
I 38
 
0.7%
C 34
 
0.6%
T 27
 
0.5%
B 25
 
0.5%
A 22
 
0.4%
Y 22
 
0.4%
H 20
 
0.4%
Other values (23) 72
 
1.3%
Hangul
ValueCountFrequency (%)
동 464
 
5.9%
산 435
 
5.5%
시 422
 
5.3%
서 394
 
5.0%
울 390
 
4.9%
금 389
 
4.9%
천 389
 
4.9%
구 388
 
4.9%
별 388
 
4.9%
특 388
 
4.9%
Other values (136) 3841
48.7%

도로명주소
Text

Distinct323
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T00:58:47.737466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length42.652062
Min length23

Characters and Unicode

Total characters16549
Distinct characters196
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

Unique276 ?
Unique (%)71.1%

Sample

1st row서울특별시 금천구 가산디지털*로 **-**, ***호 (가산동,대륭테크노타운)
2nd row서울특별시 금천구 가산디지털*로 ***-** (가산동)
3rd row서울특별시 금천구 가산디지털*로 ***, c동 ***호 (가산동,우림라이온스밸리)
4th row서울특별시 금천구 범안로 **** (독산동)
5th row서울특별시 금천구 시흥대로 *** (시흥동)
ValueCountFrequency (%)
397
14.6%
서울특별시 388
14.3%
금천구 388
14.3%
호 309
11.4%
가산동 241
 
8.9%
가산디지털*로 223
 
8.2%
층 61
 
2.2%
벚꽃로 36
 
1.3%
디지털로*길 29
 
1.1%
서부샛길 26
 
1.0%
Other values (215) 623
22.9%
2024-05-11T00:58:49.227956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2964
17.9%
2438
 
14.7%
산 680
 
4.1%
, 604
 
3.6%
가 589
 
3.6%
동 481
 
2.9%
시 438
 
2.6%
서 420
 
2.5%
금 394
 
2.4%
울 390
 
2.4%
Other values (186) 7151
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9429
57.0%
Other Punctuation 3571
 
21.6%
Space Separator 2438
 
14.7%
Close Punctuation 390
 
2.4%
Open Punctuation 390
 
2.4%
Uppercase Letter 237
 
1.4%
Dash Punctuation 62
 
0.4%
Decimal Number 17
 
0.1%
Lowercase Letter 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 680
 
7.2%
가 589
 
6.2%
동 481
 
5.1%
시 438
 
4.6%
서 420
 
4.5%
금 394
 
4.2%
울 390
 
4.1%
천 389
 
4.1%
구 388
 
4.1%
별 388
 
4.1%
Other values (152) 4872
51.7%
Uppercase Letter
ValueCountFrequency (%)
I 37
15.6%
B 35
14.8%
C 34
14.3%
A 27
11.4%
T 26
11.0%
Y 22
9.3%
H 20
8.4%
S 11
 
4.6%
G 10
 
4.2%
J 8
 
3.4%
Other values (3) 7
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
2 4
23.5%
0 3
17.6%
3 1
 
5.9%
7 1
 
5.9%
5 1
 
5.9%
4 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
c 4
40.0%
b 2
20.0%
a 2
20.0%
i 1
 
10.0%
t 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 2964
83.0%
, 604
 
16.9%
/ 2
 
0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2438
100.0%
Close Punctuation
ValueCountFrequency (%)
) 390
100.0%
Open Punctuation
ValueCountFrequency (%)
( 390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9429
57.0%
Common 6873
41.5%
Latin 247
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 680
 
7.2%
가 589
 
6.2%
동 481
 
5.1%
시 438
 
4.6%
서 420
 
4.5%
금 394
 
4.2%
울 390
 
4.1%
천 389
 
4.1%
구 388
 
4.1%
별 388
 
4.1%
Other values (152) 4872
51.7%
Latin
ValueCountFrequency (%)
I 37
15.0%
B 35
14.2%
C 34
13.8%
A 27
10.9%
T 26
10.5%
Y 22
8.9%
H 20
8.1%
S 11
 
4.5%
G 10
 
4.0%
J 8
 
3.2%
Other values (8) 17
6.9%
Common
ValueCountFrequency (%)
* 2964
43.1%
2438
35.5%
, 604
 
8.8%
) 390
 
5.7%
( 390
 
5.7%
- 62
 
0.9%
1 6
 
0.1%
~ 5
 
0.1%
2 4
 
0.1%
0 3
 
< 0.1%
Other values (6) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9429
57.0%
ASCII 7120
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2964
41.6%
2438
34.2%
, 604
 
8.5%
) 390
 
5.5%
( 390
 
5.5%
- 62
 
0.9%
I 37
 
0.5%
B 35
 
0.5%
C 34
 
0.5%
A 27
 
0.4%
Other values (24) 139
 
2.0%
Hangul
ValueCountFrequency (%)
산 680
 
7.2%
가 589
 
6.2%
동 481
 
5.1%
시 438
 
4.6%
서 420
 
4.5%
금 394
 
4.2%
울 390
 
4.1%
천 389
 
4.1%
구 388
 
4.1%
별 388
 
4.1%
Other values (152) 4872
51.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)17.2%
Missing126
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean14622.523
Minimum8500
Maximum153857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:58:49.822180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501
Q18505
median8507
Q38584
95-th percentile8650.4
Maximum153857
Range145357
Interquartile range (IQR)79

Descriptive statistics

Standard deviation29163.003
Coefficient of variation (CV)1.9943893
Kurtosis19.250587
Mean14622.523
Median Absolute Deviation (MAD)4
Skewness4.5938577
Sum3831101
Variance8.5048072 × 108
MonotonicityNot monotonic
2024-05-11T00:58:50.762505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
8506 39
 
10.1%
8507 25
 
6.4%
8504 25
 
6.4%
8511 21
 
5.4%
8505 17
 
4.4%
8501 14
 
3.6%
8512 12
 
3.1%
8502 11
 
2.8%
8594 8
 
2.1%
8590 8
 
2.1%
Other values (35) 82
21.1%
(Missing) 126
32.5%
ValueCountFrequency (%)
8500 1
 
0.3%
8501 14
 
3.6%
8502 11
 
2.8%
8503 7
 
1.8%
8504 25
6.4%
8505 17
4.4%
8506 39
10.1%
8507 25
6.4%
8509 1
 
0.3%
8510 6
 
1.5%
ValueCountFrequency (%)
153857 3
0.8%
153806 1
 
0.3%
153803 1
 
0.3%
153793 1
 
0.3%
153786 1
 
0.3%
153781 1
 
0.3%
153706 1
 
0.3%
153023 2
0.5%
8656 1
 
0.3%
8652 1
 
0.3%

사업장명
Text

Distinct384
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-05-11T00:58:51.416498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.4020619
Min length2

Characters and Unicode

Total characters3260
Distinct characters344
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)97.9%

Sample

1st row(주)리딩엣지
2nd row(주)아이비에스넷
3rd row양재미디어(주)
4th row진명씨엔시(주)
5th row지호전자시스
ValueCountFrequency (%)
주식회사 53
 
11.4%
주 4
 
0.9%
entertainment 3
 
0.6%
taegeun 2
 
0.4%
주)엔트웰 2
 
0.4%
주)이프월드 2
 
0.4%
주)제이더블유파트너 2
 
0.4%
age 2
 
0.4%
내일날씨 2
 
0.4%
손다코리아 1
 
0.2%
Other values (393) 393
84.3%
2024-05-11T00:58:52.568355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 311
 
9.5%
) 265
 
8.1%
( 264
 
8.1%
스 123
 
3.8%
이 119
 
3.7%
트 93
 
2.9%
78
 
2.4%
프 68
 
2.1%
사 62
 
1.9%
회 56
 
1.7%
Other values (334) 1821
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2493
76.5%
Close Punctuation 265
 
8.1%
Open Punctuation 264
 
8.1%
Lowercase Letter 81
 
2.5%
Space Separator 78
 
2.4%
Uppercase Letter 71
 
2.2%
Other Symbol 4
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 311
 
12.5%
스 123
 
4.9%
이 119
 
4.8%
트 93
 
3.7%
프 68
 
2.7%
사 62
 
2.5%
회 56
 
2.2%
식 55
 
2.2%
소 52
 
2.1%
임 48
 
1.9%
Other values (286) 1506
60.4%
Uppercase Letter
ValueCountFrequency (%)
E 9
12.7%
T 8
11.3%
A 6
 
8.5%
M 5
 
7.0%
J 5
 
7.0%
O 4
 
5.6%
N 4
 
5.6%
Y 4
 
5.6%
I 4
 
5.6%
S 4
 
5.6%
Other values (12) 18
25.4%
Lowercase Letter
ValueCountFrequency (%)
n 12
14.8%
e 12
14.8%
o 9
11.1%
a 8
9.9%
t 8
9.9%
i 5
 
6.2%
r 4
 
4.9%
g 4
 
4.9%
u 3
 
3.7%
s 2
 
2.5%
Other values (10) 14
17.3%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2497
76.6%
Common 611
 
18.7%
Latin 152
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 311
 
12.5%
스 123
 
4.9%
이 119
 
4.8%
트 93
 
3.7%
프 68
 
2.7%
사 62
 
2.5%
회 56
 
2.2%
식 55
 
2.2%
소 52
 
2.1%
임 48
 
1.9%
Other values (287) 1510
60.5%
Latin
ValueCountFrequency (%)
n 12
 
7.9%
e 12
 
7.9%
o 9
 
5.9%
E 9
 
5.9%
a 8
 
5.3%
t 8
 
5.3%
T 8
 
5.3%
A 6
 
3.9%
i 5
 
3.3%
M 5
 
3.3%
Other values (32) 70
46.1%
Common
ValueCountFrequency (%)
) 265
43.4%
( 264
43.2%
78
 
12.8%
& 2
 
0.3%
. 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2493
76.5%
ASCII 763
 
23.4%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 311
 
12.5%
스 123
 
4.9%
이 119
 
4.8%
트 93
 
3.7%
프 68
 
2.7%
사 62
 
2.5%
회 56
 
2.2%
식 55
 
2.2%
소 52
 
2.1%
임 48
 
1.9%
Other values (286) 1506
60.4%
ASCII
ValueCountFrequency (%)
) 265
34.7%
( 264
34.6%
78
 
10.2%
n 12
 
1.6%
e 12
 
1.6%
o 9
 
1.2%
E 9
 
1.2%
a 8
 
1.0%
t 8
 
1.0%
T 8
 
1.0%
Other values (37) 90
 
11.8%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

UNIQUE 

Distinct388
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2006-04-05 17:02:29
Maximum2024-04-26 09:17:51
2024-05-11T00:58:53.107364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:58:53.553477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
318 
U
70 

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 318
82.0%
U 70
 
18.0%

Length

2024-05-11T00:58:54.086953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:54.561155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 318
82.0%
u 70
 
18.0%

데이터갱신일자
Date

Distinct112
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T00:58:55.178157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:58:55.680653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct123
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189722.97
Minimum188887.2
Maximum192754.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:58:56.323845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188887.2
5-th percentile189055.14
Q1189369.54
median189538.02
Q3189845.97
95-th percentile191290.48
Maximum192754.35
Range3867.1485
Interquartile range (IQR)476.43493

Descriptive statistics

Standard deviation634.98268
Coefficient of variation (CV)0.0033468941
Kurtosis3.8521665
Mean189722.97
Median Absolute Deviation (MAD)252.71083
Skewness1.9121226
Sum73612512
Variance403203.01
MonotonicityNot monotonic
2024-05-11T00:58:56.904355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189538.020935968 36
 
9.3%
189055.138252216 19
 
4.9%
189467.124186925 17
 
4.4%
189202.600232089 15
 
3.9%
189522.336721798 14
 
3.6%
189369.53962474 10
 
2.6%
189647.046752134 9
 
2.3%
189232.30642848 8
 
2.1%
189685.516219475 8
 
2.1%
189417.708595762 8
 
2.1%
Other values (113) 244
62.9%
ValueCountFrequency (%)
188887.197646973 1
 
0.3%
188968.189711073 5
 
1.3%
188979.225789508 1
 
0.3%
189031.670933573 1
 
0.3%
189055.138252216 19
4.9%
189089.927764903 5
 
1.3%
189090.604921101 1
 
0.3%
189092.729912585 4
 
1.0%
189127.981104583 6
 
1.5%
189158.740846154 1
 
0.3%
ValueCountFrequency (%)
192754.34619252 1
 
0.3%
192414.837596879 1
 
0.3%
191794.387105728 4
1.0%
191724.746538061 1
 
0.3%
191638.402996829 1
 
0.3%
191622.156646446 1
 
0.3%
191583.163603243 1
 
0.3%
191563.868194185 1
 
0.3%
191563.530907331 1
 
0.3%
191517.621821727 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct123
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441578.39
Minimum437280.57
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:58:57.602616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437280.57
5-th percentile440026.47
Q1441483.68
median441848.24
Q3441999.31
95-th percentile442478.36
Maximum442636.32
Range5355.746
Interquartile range (IQR)515.63867

Descriptive statistics

Standard deviation883.97546
Coefficient of variation (CV)0.002001854
Kurtosis7.0199456
Mean441578.39
Median Absolute Deviation (MAD)218.88158
Skewness-2.4197045
Sum1.7133241 × 108
Variance781412.61
MonotonicityNot monotonic
2024-05-11T00:58:58.144296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441982.427934953 36
 
9.3%
441958.334400683 19
 
4.9%
441780.0053985 17
 
4.4%
441848.24299943 15
 
3.9%
441654.010373182 14
 
3.6%
441629.361414684 10
 
2.6%
441677.096205358 9
 
2.3%
442478.356256941 8
 
2.1%
442026.468974479 8
 
2.1%
442309.174987731 8
 
2.1%
Other values (113) 244
62.9%
ValueCountFrequency (%)
437280.574150819 1
 
0.3%
437633.256208734 1
 
0.3%
437899.830896583 1
 
0.3%
437901.086256157 1
 
0.3%
437914.06299827 5
1.3%
438463.195291656 1
 
0.3%
438720.679251839 1
 
0.3%
438827.143732711 1
 
0.3%
439082.498036378 1
 
0.3%
439255.089654051 3
0.8%
ValueCountFrequency (%)
442636.320100968 1
 
0.3%
442585.933234852 4
1.0%
442569.300676147 5
1.3%
442562.722742062 2
 
0.5%
442493.020182986 4
1.0%
442478.356256941 8
2.1%
442473.445721649 1
 
0.3%
442460.505542105 6
1.5%
442417.955057116 3
 
0.8%
442369.650853866 1
 
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
게임물제작업
340 
<NA>
48 

Length

Max length6
Median length6
Mean length5.7525773
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 340
87.6%
<NA> 48
 
12.4%

Length

2024-05-11T00:58:58.709742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:58:59.222553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 340
87.6%
na 48
 
12.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
유통관련업
340 
<NA>
48 

Length

Max length5
Median length5
Mean length4.8762887
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 340
87.6%
<NA> 48
 
12.4%

Length

2024-05-11T00:58:59.765982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:00.329337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 340
87.6%
na 48
 
12.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)40.4%
Missing341
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean13.255319
Minimum0
Maximum43
Zeros6
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:59:00.835546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median14
Q318
95-th percentile23
Maximum43
Range43
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.3287561
Coefficient of variation (CV)0.62833312
Kurtosis2.2197588
Mean13.255319
Median Absolute Deviation (MAD)4
Skewness0.61272238
Sum623
Variance69.368178
MonotonicityNot monotonic
2024-05-11T00:59:01.266289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 6
 
1.5%
18 5
 
1.3%
23 5
 
1.3%
15 4
 
1.0%
14 3
 
0.8%
13 3
 
0.8%
7 2
 
0.5%
10 2
 
0.5%
16 2
 
0.5%
9 2
 
0.5%
Other values (9) 13
 
3.4%
(Missing) 341
87.9%
ValueCountFrequency (%)
0 6
1.5%
3 1
 
0.3%
4 1
 
0.3%
6 2
 
0.5%
7 2
 
0.5%
9 2
 
0.5%
10 2
 
0.5%
11 1
 
0.3%
12 2
 
0.5%
13 3
0.8%
ValueCountFrequency (%)
43 1
 
0.3%
23 5
1.3%
22 1
 
0.3%
20 2
 
0.5%
18 5
1.3%
17 2
 
0.5%
16 2
 
0.5%
15 4
1.0%
14 3
0.8%
13 3
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
기타
 
6

Length

Max length4
Median length4
Mean length3.9690722
Min length2

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> 382
98.5%
기타 6
 
1.5%

Length

2024-05-11T00:59:01.907758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:02.443676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
기타 6
 
1.5%

제작취급품목내용
Text

MISSING 

Distinct127
Distinct (%)38.3%
Missing56
Missing (%)14.4%
Memory size3.2 KiB
2024-05-11T00:59:03.141569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.4939759
Min length2

Characters and Unicode

Total characters2156
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)31.3%

Sample

1st row게임물
2nd row게임물
3rd row게임물제작업
4th row게임물제작업
5th row게임물제작업
ValueCountFrequency (%)
게임물 71
16.7%
모바일게임 43
 
10.1%
온라인게임 27
 
6.4%
게임물제작업 20
 
4.7%
게임 19
 
4.5%
소프트웨어 17
 
4.0%
온라인게임물 15
 
3.5%
게임소프트웨어 14
 
3.3%
모바일 14
 
3.3%
온라인 13
 
3.1%
Other values (113) 172
40.5%
2024-05-11T00:59:04.486304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 307
 
14.2%
임 307
 
14.2%
물 122
 
5.7%
93
 
4.3%
바 86
 
4.0%
모 84
 
3.9%
일 84
 
3.9%
인 75
 
3.5%
라 73
 
3.4%
온 72
 
3.3%
Other values (141) 853
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1933
89.7%
Space Separator 93
 
4.3%
Other Punctuation 53
 
2.5%
Uppercase Letter 47
 
2.2%
Lowercase Letter 21
 
1.0%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 307
15.9%
임 307
15.9%
물 122
 
6.3%
바 86
 
4.4%
모 84
 
4.3%
일 84
 
4.3%
인 75
 
3.9%
라 73
 
3.8%
온 72
 
3.7%
트 54
 
2.8%
Other values (109) 669
34.6%
Uppercase Letter
ValueCountFrequency (%)
R 11
23.4%
P 8
17.0%
C 6
12.8%
V 6
12.8%
S 3
 
6.4%
M 3
 
6.4%
W 2
 
4.3%
G 2
 
4.3%
F 2
 
4.3%
A 2
 
4.3%
Other values (2) 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
p 4
19.0%
c 3
14.3%
a 3
14.3%
e 2
9.5%
i 2
9.5%
r 1
 
4.8%
k 1
 
4.8%
s 1
 
4.8%
n 1
 
4.8%
o 1
 
4.8%
Other values (2) 2
9.5%
Other Punctuation
ValueCountFrequency (%)
, 40
75.5%
/ 6
 
11.3%
. 4
 
7.5%
' 3
 
5.7%
Space Separator
ValueCountFrequency (%)
93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1933
89.7%
Common 155
 
7.2%
Latin 68
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 307
15.9%
임 307
15.9%
물 122
 
6.3%
바 86
 
4.4%
모 84
 
4.3%
일 84
 
4.3%
인 75
 
3.9%
라 73
 
3.8%
온 72
 
3.7%
트 54
 
2.8%
Other values (109) 669
34.6%
Latin
ValueCountFrequency (%)
R 11
16.2%
P 8
11.8%
C 6
 
8.8%
V 6
 
8.8%
p 4
 
5.9%
S 3
 
4.4%
M 3
 
4.4%
c 3
 
4.4%
a 3
 
4.4%
W 2
 
2.9%
Other values (14) 19
27.9%
Common
ValueCountFrequency (%)
93
60.0%
, 40
25.8%
/ 6
 
3.9%
( 4
 
2.6%
. 4
 
2.6%
) 4
 
2.6%
' 3
 
1.9%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1933
89.7%
ASCII 223
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 307
15.9%
임 307
15.9%
물 122
 
6.3%
바 86
 
4.4%
모 84
 
4.3%
일 84
 
4.3%
인 75
 
3.9%
라 73
 
3.8%
온 72
 
3.7%
트 54
 
2.8%
Other values (109) 669
34.6%
ASCII
ValueCountFrequency (%)
93
41.7%
, 40
17.9%
R 11
 
4.9%
P 8
 
3.6%
C 6
 
2.7%
V 6
 
2.7%
/ 6
 
2.7%
( 4
 
1.8%
p 4
 
1.8%
. 4
 
1.8%
Other values (22) 41
18.4%

시설면적
Real number (ℝ)

MISSING 

Distinct212
Distinct (%)77.9%
Missing116
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean634.16904
Minimum0
Maximum133811
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:59:04.948228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q139.41
median102.29
Q3148.8675
95-th percentile401.2685
Maximum133811
Range133811
Interquartile range (IQR)109.4575

Descriptive statistics

Standard deviation8107.9096
Coefficient of variation (CV)12.785092
Kurtosis271.58222
Mean634.16904
Median Absolute Deviation (MAD)59.045
Skewness16.473616
Sum172493.98
Variance65738197
MonotonicityNot monotonic
2024-05-11T00:59:05.488952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 11
 
2.8%
132.6 9
 
2.3%
4.0 6
 
1.5%
33.0 5
 
1.3%
100.0 4
 
1.0%
130.2 3
 
0.8%
59.4 3
 
0.8%
99.17 3
 
0.8%
163.48 3
 
0.8%
135.15 3
 
0.8%
Other values (202) 222
57.2%
(Missing) 116
29.9%
ValueCountFrequency (%)
0.0 1
 
0.3%
1.0 2
 
0.5%
2.1 1
 
0.3%
2.2 1
 
0.3%
2.8 1
 
0.3%
3.3 1
 
0.3%
4.0 6
1.5%
6.0 2
 
0.5%
8.0 1
 
0.3%
9.0 1
 
0.3%
ValueCountFrequency (%)
133811.0 1
0.3%
2339.0 1
0.3%
1886.4 1
0.3%
1085.0 1
0.3%
917.51 1
0.3%
762.63 1
0.3%
759.17 1
0.3%
709.99 1
0.3%
604.0 1
0.3%
537.9 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)27.0%
Missing325
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean9.5079365
Minimum0
Maximum40
Zeros6
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T00:59:05.867187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.6640615
Coefficient of variation (CV)0.80606991
Kurtosis2.3926122
Mean9.5079365
Median Absolute Deviation (MAD)6
Skewness1.1054561
Sum599
Variance58.737839
MonotonicityNot monotonic
2024-05-11T00:59:06.260742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
15 8
 
2.1%
20 8
 
2.1%
0 6
 
1.5%
5 5
 
1.3%
3 4
 
1.0%
2 4
 
1.0%
12 4
 
1.0%
6 4
 
1.0%
11 3
 
0.8%
1 3
 
0.8%
Other values (7) 14
 
3.6%
(Missing) 325
83.8%
ValueCountFrequency (%)
0 6
1.5%
1 3
0.8%
2 4
1.0%
3 4
1.0%
4 2
 
0.5%
5 5
1.3%
6 4
1.0%
7 3
0.8%
9 2
 
0.5%
10 3
0.8%
ValueCountFrequency (%)
40 1
 
0.3%
21 1
 
0.3%
20 8
2.1%
15 8
2.1%
14 2
 
0.5%
12 4
1.0%
11 3
 
0.8%
10 3
 
0.8%
9 2
 
0.5%
7 3
 
0.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
352 
2
 
12
3
 
12
1
 
6
0
 
6

Length

Max length4
Median length4
Mean length3.7216495
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 352
90.7%
2 12
 
3.1%
3 12
 
3.1%
1 6
 
1.5%
0 6
 
1.5%

Length

2024-05-11T00:59:06.881233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:07.405591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
90.7%
2 12
 
3.1%
3 12
 
3.1%
1 6
 
1.5%
0 6
 
1.5%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
377 
근린생활시설
 
8
사무실
 
1
다가구용 주택(공동주택적용)
 
1
전문하숙집
 
1

Length

Max length15
Median length4
Mean length4.0695876
Min length3

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 377
97.2%
근린생활시설 8
 
2.1%
사무실 1
 
0.3%
다가구용 주택(공동주택적용) 1
 
0.3%
전문하숙집 1
 
0.3%

Length

2024-05-11T00:59:07.919160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:08.381105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 377
96.9%
근린생활시설 8
 
2.1%
사무실 1
 
0.3%
다가구용 1
 
0.3%
주택(공동주택적용 1
 
0.3%
전문하숙집 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
6

Length

Max length4
Median length4
Mean length3.9536082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 382
98.5%
0 6
 
1.5%

Length

2024-05-11T00:59:08.909050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:09.475285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
0 6
 
1.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
6

Length

Max length4
Median length4
Mean length3.9536082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 382
98.5%
0 6
 
1.5%

Length

2024-05-11T00:59:09.999966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:10.546674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
0 6
 
1.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
6

Length

Max length4
Median length4
Mean length3.9536082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 382
98.5%
0 6
 
1.5%

Length

2024-05-11T00:59:10.968128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:11.323165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
0 6
 
1.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
6

Length

Max length4
Median length4
Mean length3.9536082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 382
98.5%
0 6
 
1.5%

Length

2024-05-11T00:59:11.745069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:12.216945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
0 6
 
1.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
382 
0
 
6

Length

Max length4
Median length4
Mean length3.9536082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 382
98.5%
0 6
 
1.5%

Length

2024-05-11T00:59:12.770407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:13.175230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 382
98.5%
0 6
 
1.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
340 
준공업지역
40 
일반주거지역
 
2
상업지역
 
2
공업지역
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.1262887
Min length4

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 340
87.6%
준공업지역 40
 
10.3%
일반주거지역 2
 
0.5%
상업지역 2
 
0.5%
공업지역 1
 
0.3%
전용공업지역 1
 
0.3%
준주거지역 1
 
0.3%
일반상업지역 1
 
0.3%

Length

2024-05-11T00:59:13.687844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:59:14.247579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
87.6%
준공업지역 40
 
10.3%
일반주거지역 2
 
0.5%
상업지역 2
 
0.5%
공업지역 1
 
0.3%
전용공업지역 1
 
0.3%
준주거지역 1
 
0.3%
일반상업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF224108199900000119991209<NA>1영업/정상13영업중<NA><NA><NA><NA>865-0018<NA>153771서울특별시 금천구 가산동 ***-**번지 대륭테크노타운 ***호서울특별시 금천구 가산디지털*로 **-**, ***호 (가산동,대륭테크노타운)<NA>(주)리딩엣지2007-06-25 10:27:22I2018-08-31 23:59:59.0<NA>189720.135642440711.695061게임물제작업유통관련업<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>
13170000CDFF224108199900000219990930<NA>3폐업3폐업20120227<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 ***-** (가산동)<NA>(주)아이비에스넷2012-02-27 13:58:03I2018-08-31 23:59:59.0<NA>189031.670934442239.943268게임물제작업유통관련업<NA><NA>게임물100.0<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>
23170000CDFF224108200000000220000225<NA>1영업/정상13영업중<NA><NA><NA><NA>2026-2500<NA>153776서울특별시 금천구 가산동 ***-**번지 우림라이온스밸리 c동 ***호서울특별시 금천구 가산디지털*로 ***, c동 ***호 (가산동,우림라이온스밸리)<NA>양재미디어(주)2007-06-25 10:29:35I2018-08-31 23:59:59.0<NA>189538.020936441982.427935게임물제작업유통관련업<NA><NA>게임물제작업<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>
33170000CDFF224108200000000320000908<NA>1영업/정상13영업중<NA><NA><NA><NA>809-2007<NA>153829서울특별시 금천구 독산동 ****번지서울특별시 금천구 범안로 **** (독산동)<NA>진명씨엔시(주)2007-06-25 10:30:25I2018-08-31 23:59:59.0<NA>190183.551444440470.634373게임물제작업유통관련업<NA><NA>게임물제작업<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>
43170000CDFF224108200000000420000223200811124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>894-6663~4<NA>153861서울특별시 금천구 시흥동 ***-*번지서울특별시 금천구 시흥대로 *** (시흥동)<NA>지호전자시스2007-06-25 10:31:00I2018-08-31 23:59:59.0<NA>191443.112212437901.086256게임물제작업유통관련업<NA><NA>게임물제작업<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>
53170000CDFF224108200000000520000106<NA>3폐업3폐업20190118<NA><NA><NA>2025-4141<NA><NA>서울특별시 금천구 가산동 ***-*번지 월드메르디앙벤처빌딩 *차서울특별시 금천구 가산디지털*로 *** (가산동,월드메르디앙벤처빌딩 *차)<NA>(주)미지아이엔지2019-01-21 09:20:35U2019-01-23 02:40:00.0<NA>189202.600232441848.242999게임물제작업유통관련업<NA><NA>게임물제작업<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>
63170000CDFF224108200000000620000531<NA>1영업/정상13영업중<NA><NA><NA><NA>564-0341<NA>153803서울특별시 금천구 가산동 ***번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>(주)한신코퍼레이션2007-06-25 10:32:09I2018-08-31 23:59:59.0<NA>190021.956927440609.209534게임물제작업유통관련업<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>
73170000CDFF224108200000000720001103200811124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>153820서울특별시 금천구 독산동 ***-*번지 서원빌딩 ***호서울특별시 금천구 남부순환로 ****, ***호 (독산동,서원빌딩)<NA>월드미디어2007-06-25 10:32:37I2018-08-31 23:59:59.0<NA>191794.387106442013.609096게임물제작업유통관련업<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>
83170000CDFF224108200000000820000304<NA>1영업/정상13영업중<NA><NA><NA><NA>862-1155<NA>153802서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>(주)아이시스산업2007-06-25 10:33:29I2018-08-31 23:59:59.0<NA>189669.316805440921.514797게임물제작업유통관련업<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>
93170000CDFF224108200100000120010426<NA>3폐업3폐업20071112<NA><NA><NA>2026-0022<NA>153803서울특별시 금천구 가산동 ***-**번지 우림라이온스벨리 A동 ****호서울특별시 금천구 가산디지털*로 ***, A동 ****호 (가산동,우림라이온스벨리)<NA>(주)지쓰리어뮤즈먼트2007-11-12 16:21:57I2018-08-31 23:59:59.0<NA>189538.020936441982.427935게임물제작업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3783170000CDFF22410820230000082021-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 **, 가산와이피피아르센타워 *층 ***,***,***,***,***,***,***호 (가산동)8592(주)셀빅2023-08-04 15:39:12I2022-12-08 00:06:00.0<NA>189651.615396440972.741333<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>
3793170000CDFF22410820230000092010-12-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**서울특별시 금천구 가산디지털*로 **, 가산와이피피아르센타워 *층 ***,***,***,***,***,***,***호 (가산동)8592주식회사 셀빅2023-08-04 15:42:06I2022-12-08 00:06:00.0<NA>189651.615396440972.741333<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>
3803170000CDFF22410820230000102023-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***-* 현우빌딩서울특별시 금천구 독산로***길 **, 현우빌딩 ***호 (독산동)8547핀블라(Finbla)2023-11-06 13:47:06I2022-11-01 00:08:00.0<NA>191563.530907441950.767477<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>
3813170000CDFF22410820230000112023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 에이스 K*타워서울특별시 금천구 가산디지털*로 ***, 에이스 K*타워 ****호 (가산동)8503주식회사 트윈코스모스2023-11-29 17:17:16I2022-11-02 00:02:00.0<NA>189158.740846442283.977343<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>
3823170000CDFF22410820230000122023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 가산 더스카이밸리 *차서울특별시 금천구 가산디지털*로 ***, 가산 더스카이밸리 *차 ***호 (가산동)8507주식회사 미니게임즈2023-12-19 15:45:33I2022-11-01 22:01:00.0<NA>189603.222917441801.135064<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>
3833170000CDFF22410820240000012024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 남성프라자서울특별시 금천구 디지털로 ***, 남성프라자 *층 ***호 (가산동)8589주식회사 엔라이징게임즈2024-03-07 17:50:24I2023-12-03 00:09:00.0<NA>189472.091899441483.675018<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>
3843170000CDFF22410820240000022018-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 *** 에이스하이엔드타워**서울특별시 금천구 가산디지털*로 **, 에이스하이엔드타워** **층 ****호 (가산동)8591알리몰리 스튜디오(유)2024-03-21 14:00:20U2023-12-02 22:03:00.0<NA>189975.894747440742.22348<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>
3853170000CDFF22410820240000032015-02-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-**서울특별시 금천구 디지털로*길 **, ****호 (가산동)8511(주)모래노리소프트2024-04-01 15:37:53U2023-12-04 00:03:00.0<NA>189844.090588441902.681311<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>
3863170000CDFF22410820240000042024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 ***, 대성디폴리스지식산업센터 B동 ****호 (가산동)8504주식회사 넷포유2024-04-24 14:19:10I2023-12-03 22:06:00.0<NA>189055.138252441958.334401<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>
3873170000CDFF22410820240000052024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-*서울특별시 금천구 가산디지털*로 ***, B동 ***호 (가산동)8505(주)셈웨어2024-04-26 09:17:51I2023-12-03 22:08:00.0<NA>189282.642165441654.484591<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>