Overview

Dataset statistics

Number of variables56
Number of observations23
Missing cells618
Missing cells (%)48.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory495.7 B

Variable types

Categorical18
Text5
DateTime3
Unsupported25
Numeric5

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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16671/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.2%)Imbalance
문화체육업종명 is highly imbalanced (74.2%)Imbalance
문화사업자구분명 is highly imbalanced (74.2%)Imbalance
총층수 is highly imbalanced (74.2%)Imbalance
지상층수 is highly imbalanced (67.6%)Imbalance
지하층수 is highly imbalanced (67.6%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (74.2%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 7 (30.4%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 17 (73.9%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
도로명주소 has 2 (8.7%) missing valuesMissing
도로명우편번호 has 14 (60.9%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
주변환경명 has 23 (100.0%) missing valuesMissing
시설면적 has 1 (4.3%) missing valuesMissing
건물용도명 has 23 (100.0%) missing valuesMissing
비상계단여부 has 23 (100.0%) missing valuesMissing
비상구여부 has 23 (100.0%) missing valuesMissing
자동환기여부 has 23 (100.0%) missing valuesMissing
청소년실여부 has 23 (100.0%) missing valuesMissing
특수조명여부 has 23 (100.0%) missing valuesMissing
방음시설여부 has 23 (100.0%) missing valuesMissing
비디오재생기명 has 23 (100.0%) missing valuesMissing
조명시설유무 has 23 (100.0%) missing valuesMissing
음향시설여부 has 23 (100.0%) missing valuesMissing
편의시설여부 has 23 (100.0%) missing valuesMissing
소방시설여부 has 23 (100.0%) missing valuesMissing
기존게임업외업종명 has 23 (100.0%) missing valuesMissing
제공게임물명 has 23 (100.0%) missing valuesMissing
공연장형태구분명 has 23 (100.0%) missing valuesMissing
품목명 has 23 (100.0%) missing valuesMissing
최초등록시점 has 23 (100.0%) missing valuesMissing
지역구분명 has 23 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 7 (30.4%) zerosZeros

Reproduction

Analysis started2024-05-11 04:27:05.408468
Analysis finished2024-05-11 04:27:06.456994
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3050000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 23
100.0%

Length

2024-05-11T04:27:06.660459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:06.973069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T04:27:07.364914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters460
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122006000001
2nd rowCDFF2241122006000002
3rd rowCDFF2241122006000003
4th rowCDFF2241122007000001
5th rowCDFF2241122007000002
ValueCountFrequency (%)
cdff2241122006000001 1
 
4.3%
cdff2241122011000002 1
 
4.3%
cdff2241122021000002 1
 
4.3%
cdff2241122021000001 1
 
4.3%
cdff2241122018000001 1
 
4.3%
cdff2241122016000001 1
 
4.3%
cdff2241122015000001 1
 
4.3%
cdff2241122012000004 1
 
4.3%
cdff2241122012000003 1
 
4.3%
cdff2241122012000001 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T04:27:08.204806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 149
32.4%
2 105
22.8%
1 73
15.9%
F 46
 
10.0%
4 24
 
5.2%
C 23
 
5.0%
D 23
 
5.0%
3 5
 
1.1%
6 4
 
0.9%
8 3
 
0.7%
Other values (3) 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
80.0%
Uppercase Letter 92
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
40.5%
2 105
28.5%
1 73
19.8%
4 24
 
6.5%
3 5
 
1.4%
6 4
 
1.1%
8 3
 
0.8%
7 2
 
0.5%
9 2
 
0.5%
5 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
80.0%
Latin 92
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 149
40.5%
2 105
28.5%
1 73
19.8%
4 24
 
6.5%
3 5
 
1.4%
6 4
 
1.1%
8 3
 
0.8%
7 2
 
0.5%
9 2
 
0.5%
5 1
 
0.3%
Latin
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 149
32.4%
2 105
22.8%
1 73
15.9%
F 46
 
10.0%
4 24
 
5.2%
C 23
 
5.0%
D 23
 
5.0%
3 5
 
1.1%
6 4
 
0.9%
8 3
 
0.7%
Other values (3) 5
 
1.1%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2006-02-16 00:00:00
Maximum2023-11-10 00:00:00
2024-05-11T04:27:08.596629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:08.965218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
4
8 
3
8 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 8
34.8%
3 8
34.8%
1 7
30.4%

Length

2024-05-11T04:27:09.268281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:09.708920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 8
34.8%
3 8
34.8%
1 7
30.4%

영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
취소/말소/만료/정지/중지
8 
폐업
8 
영업/정상
7 

Length

Max length14
Median length5
Mean length7.0869565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 8
34.8%
폐업 8
34.8%
영업/정상 7
30.4%

Length

2024-05-11T04:27:10.030410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:10.274237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 8
34.8%
폐업 8
34.8%
영업/정상 7
30.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
35
8 
3
8 
13
7 

Length

Max length2
Median length2
Mean length1.6521739
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row3
3rd row35
4th row35
5th row3

Common Values

ValueCountFrequency (%)
35 8
34.8%
3 8
34.8%
13 7
30.4%

Length

2024-05-11T04:27:10.660002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:10.990995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35 8
34.8%
3 8
34.8%
13 7
30.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
직권말소
8 
폐업
8 
영업중
7 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 8
34.8%
폐업 8
34.8%
영업중 7
30.4%

Length

2024-05-11T04:27:11.366107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:11.702980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 8
34.8%
폐업 8
34.8%
영업중 7
30.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing7
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean20123524
Minimum20090417
Maximum20160712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T04:27:12.193945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090417
5-th percentile20090784
Q120115546
median20130103
Q320130160
95-th percentile20145410
Maximum20160712
Range70295
Interquartile range (IQR)14613.25

Descriptive statistics

Standard deviation20005.466
Coefficient of variation (CV)0.00099413332
Kurtosis-0.12980355
Mean20123524
Median Absolute Deviation (MAD)5005
Skewness-0.5013394
Sum3.2197638 × 108
Variance4.0021866 × 108
MonotonicityNot monotonic
2024-05-11T04:27:12.571817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20130103 7
30.4%
20090417 1
 
4.3%
20090907 1
 
4.3%
20101228 1
 
4.3%
20091224 1
 
4.3%
20120319 1
 
4.3%
20140217 1
 
4.3%
20160712 1
 
4.3%
20140310 1
 
4.3%
20130329 1
 
4.3%
(Missing) 7
30.4%
ValueCountFrequency (%)
20090417 1
 
4.3%
20090907 1
 
4.3%
20091224 1
 
4.3%
20101228 1
 
4.3%
20120319 1
 
4.3%
20130103 7
30.4%
20130329 1
 
4.3%
20140217 1
 
4.3%
20140310 1
 
4.3%
20160712 1
 
4.3%
ValueCountFrequency (%)
20160712 1
 
4.3%
20140310 1
 
4.3%
20140217 1
 
4.3%
20130329 1
 
4.3%
20130103 7
30.4%
20120319 1
 
4.3%
20101228 1
 
4.3%
20091224 1
 
4.3%
20090907 1
 
4.3%
20090417 1
 
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing17
Missing (%)73.9%
Memory size316.0 B
2024-05-11T04:27:12.924768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.166667
Min length8

Characters and Unicode

Total characters61
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row1566-7172
2nd row927-7252
3rd row2243-2020
4th row02-962-1340
5th row02-929-2220
ValueCountFrequency (%)
1566-7172 1
16.7%
927-7252 1
16.7%
2243-2020 1
16.7%
02-962-1340 1
16.7%
02-929-2220 1
16.7%
070-4193-4270 1
16.7%
2024-05-11T04:27:13.520470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 16
26.2%
- 9
14.8%
0 9
14.8%
7 6
 
9.8%
9 5
 
8.2%
1 4
 
6.6%
4 4
 
6.6%
6 3
 
4.9%
3 3
 
4.9%
5 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
85.2%
Dash Punctuation 9
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 16
30.8%
0 9
17.3%
7 6
 
11.5%
9 5
 
9.6%
1 4
 
7.7%
4 4
 
7.7%
6 3
 
5.8%
3 3
 
5.8%
5 2
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 16
26.2%
- 9
14.8%
0 9
14.8%
7 6
 
9.8%
9 5
 
8.2%
1 4
 
6.6%
4 4
 
6.6%
6 3
 
4.9%
3 3
 
4.9%
5 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 16
26.2%
- 9
14.8%
0 9
14.8%
7 6
 
9.8%
9 5
 
8.2%
1 4
 
6.6%
4 4
 
6.6%
6 3
 
4.9%
3 3
 
4.9%
5 2
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
130842
 
1

Length

Max length6
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row130842
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
130842 1
 
4.3%

Length

2024-05-11T04:27:13.952910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:14.358860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
130842 1
 
4.3%

지번주소
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T04:27:14.727973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length29.391304
Min length20

Characters and Unicode

Total characters676
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row서울특별시 동대문구 신설동 **번지
2nd row서울특별시 동대문구 장안동 ***-*번지 (*층)
3rd row서울특별시 동대문구 용두동 ***-*번지 경호빌딩***호
4th row서울특별시 동대문구 신설동 ***-*번지 ***호
5th row서울특별시 동대문구 장안동 ***-*번지 동환빌딩 ***호
ValueCountFrequency (%)
서울특별시 23
18.7%
동대문구 23
18.7%
번지 20
16.3%
호 13
10.6%
장안동 9
 
7.3%
층 6
 
4.9%
신설동 5
 
4.1%
용두동 4
 
3.3%
3
 
2.4%
제기동 2
 
1.6%
Other values (15) 15
12.2%
2024-05-11T04:27:15.883169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 140
20.7%
119
17.6%
동 52
 
7.7%
대 26
 
3.8%
문 24
 
3.6%
서 23
 
3.4%
특 23
 
3.4%
별 23
 
3.4%
시 23
 
3.4%
구 23
 
3.4%
Other values (44) 200
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
57.5%
Other Punctuation 140
 
20.7%
Space Separator 119
 
17.6%
Dash Punctuation 20
 
3.0%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 52
13.4%
대 26
 
6.7%
문 24
 
6.2%
서 23
 
5.9%
특 23
 
5.9%
별 23
 
5.9%
시 23
 
5.9%
구 23
 
5.9%
울 23
 
5.9%
지 20
 
5.1%
Other values (39) 129
33.2%
Other Punctuation
ValueCountFrequency (%)
* 140
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
57.5%
Common 287
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 52
13.4%
대 26
 
6.7%
문 24
 
6.2%
서 23
 
5.9%
특 23
 
5.9%
별 23
 
5.9%
시 23
 
5.9%
구 23
 
5.9%
울 23
 
5.9%
지 20
 
5.1%
Other values (39) 129
33.2%
Common
ValueCountFrequency (%)
* 140
48.8%
119
41.5%
- 20
 
7.0%
) 4
 
1.4%
( 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
57.5%
ASCII 287
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 140
48.8%
119
41.5%
- 20
 
7.0%
) 4
 
1.4%
( 4
 
1.4%
Hangul
ValueCountFrequency (%)
동 52
13.4%
대 26
 
6.7%
문 24
 
6.2%
서 23
 
5.9%
특 23
 
5.9%
별 23
 
5.9%
시 23
 
5.9%
구 23
 
5.9%
울 23
 
5.9%
지 20
 
5.1%
Other values (39) 129
33.2%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing2
Missing (%)8.7%
Memory size316.0 B
2024-05-11T04:27:17.128732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length34.952381
Min length28

Characters and Unicode

Total characters734
Distinct characters77
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 장한로**길 * (장안동,(*층))
2nd row서울특별시 동대문구 왕산로**나길 ** (용두동,경호빌딩***호)
3rd row서울특별시 동대문구 천호대로 ** (신설동,***호)
4th row서울특별시 동대문구 천호대로 *** (장안동,동환빌딩 ***호)
5th row서울특별시 동대문구 홍릉로 ** (청량리동,청량리현대코아 동관 *층 ***호)
ValueCountFrequency (%)
22
16.9%
서울특별시 21
16.2%
동대문구 21
16.2%
호 12
 
9.2%
천호대로 5
 
3.8%
층 5
 
3.8%
장안동 3
 
2.3%
약령중앙로 2
 
1.5%
제기동 2
 
1.5%
장한로**길 2
 
1.5%
Other values (31) 35
26.9%
2024-05-11T04:27:18.636453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 121
16.5%
119
16.2%
동 48
 
6.5%
대 30
 
4.1%
) 25
 
3.4%
( 25
 
3.4%
, 23
 
3.1%
호 22
 
3.0%
울 22
 
3.0%
서 22
 
3.0%
Other values (67) 277
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
57.4%
Other Punctuation 144
 
19.6%
Space Separator 119
 
16.2%
Close Punctuation 25
 
3.4%
Open Punctuation 25
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
11.4%
대 30
 
7.1%
호 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
문 22
 
5.2%
별 21
 
5.0%
로 21
 
5.0%
구 21
 
5.0%
시 21
 
5.0%
Other values (62) 171
40.6%
Other Punctuation
ValueCountFrequency (%)
* 121
84.0%
, 23
 
16.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
57.4%
Common 313
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
11.4%
대 30
 
7.1%
호 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
문 22
 
5.2%
별 21
 
5.0%
로 21
 
5.0%
구 21
 
5.0%
시 21
 
5.0%
Other values (62) 171
40.6%
Common
ValueCountFrequency (%)
* 121
38.7%
119
38.0%
) 25
 
8.0%
( 25
 
8.0%
, 23
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
57.4%
ASCII 313
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 121
38.7%
119
38.0%
) 25
 
8.0%
( 25
 
8.0%
, 23
 
7.3%
Hangul
ValueCountFrequency (%)
동 48
 
11.4%
대 30
 
7.1%
호 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
문 22
 
5.2%
별 21
 
5.0%
로 21
 
5.0%
구 21
 
5.0%
시 21
 
5.0%
Other values (62) 171
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing14
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean31093.444
Minimum2570
Maximum130844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T04:27:19.100602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2570
5-th percentile2570
Q12577
median2622
Q32636
95-th percentile130832
Maximum130844
Range128274
Interquartile range (IQR)59

Descriptive statistics

Standard deviation56544.751
Coefficient of variation (CV)1.8185425
Kurtosis0.73469289
Mean31093.444
Median Absolute Deviation (MAD)45
Skewness1.6198469
Sum279841
Variance3.1973089 × 109
MonotonicityNot monotonic
2024-05-11T04:27:19.538220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2570 2
 
8.7%
2628 1
 
4.3%
130844 1
 
4.3%
130814 1
 
4.3%
2636 1
 
4.3%
2580 1
 
4.3%
2577 1
 
4.3%
2622 1
 
4.3%
(Missing) 14
60.9%
ValueCountFrequency (%)
2570 2
8.7%
2577 1
4.3%
2580 1
4.3%
2622 1
4.3%
2628 1
4.3%
2636 1
4.3%
130814 1
4.3%
130844 1
4.3%
ValueCountFrequency (%)
130844 1
4.3%
130814 1
4.3%
2636 1
4.3%
2628 1
4.3%
2622 1
4.3%
2580 1
4.3%
2577 1
4.3%
2570 2
8.7%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T04:27:20.054794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length7
Min length2

Characters and Unicode

Total characters161
Distinct characters76
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row베스트이엔에프
2nd row(주)노다지무역
3rd row(주)위버테크
4th row알에스텍
5th row나이스굿소프트
ValueCountFrequency (%)
주식회사 3
 
10.3%
베스트이엔에프 1
 
3.4%
에프오에스게임즈(fos 1
 
3.4%
비누게임 1
 
3.4%
아케아 1
 
3.4%
유지에이게임즈 1
 
3.4%
소창 1
 
3.4%
게임앤퍼슨 1
 
3.4%
주 1
 
3.4%
우리소프트 1
 
3.4%
Other values (17) 17
58.6%
2024-05-11T04:27:21.236040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 10
 
6.2%
트 8
 
5.0%
( 8
 
5.0%
) 8
 
5.0%
스 8
 
5.0%
프 7
 
4.3%
소 6
 
3.7%
6
 
3.7%
에 6
 
3.7%
임 5
 
3.1%
Other values (66) 89
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
77.6%
Lowercase Letter 10
 
6.2%
Open Punctuation 8
 
5.0%
Close Punctuation 8
 
5.0%
Space Separator 6
 
3.7%
Uppercase Letter 4
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
8.0%
트 8
 
6.4%
스 8
 
6.4%
프 7
 
5.6%
소 6
 
4.8%
에 6
 
4.8%
임 5
 
4.0%
이 4
 
3.2%
게 4
 
3.2%
회 3
 
2.4%
Other values (52) 64
51.2%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
o 2
20.0%
a 1
 
10.0%
m 1
 
10.0%
e 1
 
10.0%
f 1
 
10.0%
t 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
G 1
25.0%
Y 1
25.0%
J 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
77.6%
Common 22
 
13.7%
Latin 14
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
8.0%
트 8
 
6.4%
스 8
 
6.4%
프 7
 
5.6%
소 6
 
4.8%
에 6
 
4.8%
임 5
 
4.0%
이 4
 
3.2%
게 4
 
3.2%
회 3
 
2.4%
Other values (52) 64
51.2%
Latin
ValueCountFrequency (%)
s 3
21.4%
o 2
14.3%
F 1
 
7.1%
G 1
 
7.1%
a 1
 
7.1%
m 1
 
7.1%
e 1
 
7.1%
Y 1
 
7.1%
J 1
 
7.1%
f 1
 
7.1%
Common
ValueCountFrequency (%)
( 8
36.4%
) 8
36.4%
6
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
77.6%
ASCII 36
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 10
 
8.0%
트 8
 
6.4%
스 8
 
6.4%
프 7
 
5.6%
소 6
 
4.8%
에 6
 
4.8%
임 5
 
4.0%
이 4
 
3.2%
게 4
 
3.2%
회 3
 
2.4%
Other values (52) 64
51.2%
ASCII
ValueCountFrequency (%)
( 8
22.2%
) 8
22.2%
6
16.7%
s 3
 
8.3%
o 2
 
5.6%
F 1
 
2.8%
G 1
 
2.8%
a 1
 
2.8%
m 1
 
2.8%
e 1
 
2.8%
Other values (4) 4
11.1%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2009-04-20 09:15:47
Maximum2023-11-10 11:02:18
2024-05-11T04:27:21.552963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:21.944447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
23 

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 23
100.0%

Length

2024-05-11T04:27:22.326083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:22.612525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
100.0%

데이터갱신일자
Date

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2022-10-31 23:02:00
2024-05-11T04:27:22.879764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:23.250253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean204287.84
Minimum202015.41
Maximum206489.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T04:27:23.588458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202015.41
5-th percentile202124.09
Q1202960.75
median204425.39
Q3205677.84
95-th percentile206177.6
Maximum206489.46
Range4474.052
Interquartile range (IQR)2717.0895

Descriptive statistics

Standard deviation1571.5245
Coefficient of variation (CV)0.0076926973
Kurtosis-1.6463662
Mean204287.84
Median Absolute Deviation (MAD)1330.7604
Skewness-0.12480878
Sum4494332.6
Variance2469689.4
MonotonicityNot monotonic
2024-05-11T04:27:23.976057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
203235.764275634 2
 
8.7%
203519.527011576 2
 
8.7%
206070.526125933 1
 
4.3%
206179.384647281 1
 
4.3%
204999.401520352 1
 
4.3%
202595.68074153 1
 
4.3%
202144.279993775 1
 
4.3%
205729.86493205 1
 
4.3%
202015.405337661 1
 
4.3%
205477.61947388 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
202015.405337661 1
4.3%
202123.025510581 1
4.3%
202144.279993775 1
4.3%
202257.985695221 1
4.3%
202595.68074153 1
4.3%
202869.074186985 1
4.3%
203235.764275634 2
8.7%
203519.527011576 2
8.7%
203851.375424856 1
4.3%
204999.401520352 1
4.3%
ValueCountFrequency (%)
206489.457295721 1
4.3%
206179.384647281 1
4.3%
206143.713444885 1
4.3%
206070.526125933 1
4.3%
205782.432742692 1
4.3%
205729.86493205 1
4.3%
205521.749850654 1
4.3%
205477.61947388 1
4.3%
205428.921463301 1
4.3%
205142.103666569 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean452298.8
Minimum451094.41
Maximum453411.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T04:27:24.342447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451094.41
5-th percentile451105.65
Q1451404.37
median452475.66
Q3452965.11
95-th percentile453335.36
Maximum453411.74
Range2317.33
Interquartile range (IQR)1560.7374

Descriptive statistics

Standard deviation834.04835
Coefficient of variation (CV)0.0018440207
Kurtosis-1.4783852
Mean452298.8
Median Absolute Deviation (MAD)713.29784
Skewness-0.25691002
Sum9950573.6
Variance695636.66
MonotonicityNot monotonic
2024-05-11T04:27:24.738461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
453335.364037599 2
 
8.7%
452851.755317306 2
 
8.7%
451962.556336315 1
 
4.3%
453411.742856906 1
 
4.3%
451290.385714542 1
 
4.3%
453139.329644093 1
 
4.3%
452691.433618866 1
 
4.3%
451314.311344192 1
 
4.3%
452340.246199262 1
 
4.3%
451094.412855942 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
451094.412855942 1
4.3%
451103.146980087 1
4.3%
451153.120269048 1
4.3%
451167.624821007 1
4.3%
451290.385714542 1
4.3%
451314.311344192 1
4.3%
451674.561380888 1
4.3%
451918.270046244 1
4.3%
451962.556336315 1
4.3%
452340.246199262 1
4.3%
ValueCountFrequency (%)
453411.742856906 1
4.3%
453335.364037599 2
8.7%
453238.594217594 1
4.3%
453139.329644093 1
4.3%
453002.896504466 1
4.3%
452851.755317306 2
8.7%
452745.38786189 1
4.3%
452691.433618866 1
4.3%
452478.339896363 1
4.3%
452472.988294341 1
4.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
게임물배급업
22 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9130435
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 22
95.7%
<NA> 1
 
4.3%

Length

2024-05-11T04:27:25.178455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:25.521451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 22
95.7%
na 1
 
4.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
유통관련업
22 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9565217
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 22
95.7%
<NA> 1
 
4.3%

Length

2024-05-11T04:27:25.853822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:26.258028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 22
95.7%
na 1
 
4.3%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:26.599775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:26.916410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

제작취급품목내용
Categorical

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
게임물
9 
온라인게임물
5 
소프트웨어
2 
게임기
1 
온라인
1 
Other values (5)
5 

Length

Max length17
Median length15
Mean length5.2608696
Min length3

Unique

Unique7 ?
Unique (%)30.4%

Sample

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

Common Values

ValueCountFrequency (%)
게임물 9
39.1%
온라인게임물 5
21.7%
소프트웨어 2
 
8.7%
게임기 1
 
4.3%
온라인 1
 
4.3%
온라인게임물 및 교육프로그램 1
 
4.3%
PC/온라인게임 1
 
4.3%
istargame, 믹스마스터3 1
 
4.3%
아케이드 1
 
4.3%
<NA> 1
 
4.3%

Length

2024-05-11T04:27:27.297854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:27.675428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물 9
34.6%
온라인게임물 6
23.1%
소프트웨어 2
 
7.7%
게임기 1
 
3.8%
온라인 1
 
3.8%
및 1
 
3.8%
교육프로그램 1
 
3.8%
pc/온라인게임 1
 
3.8%
istargame 1
 
3.8%
믹스마스터3 1
 
3.8%
Other values (2) 2
 
7.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)72.7%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean76.862273
Minimum0
Maximum485.49
Zeros7
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T04:27:28.078351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35.5
Q395
95-th percentile230.764
Maximum485.49
Range485.49
Interquartile range (IQR)95

Descriptive statistics

Standard deviation115.86869
Coefficient of variation (CV)1.5074846
Kurtosis6.8188939
Mean76.862273
Median Absolute Deviation (MAD)35.5
Skewness2.4203973
Sum1690.97
Variance13425.554
MonotonicityNot monotonic
2024-05-11T04:27:28.468205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 7
30.4%
132.0 1
 
4.3%
19.8 1
 
4.3%
231.12 1
 
4.3%
485.49 1
 
4.3%
66.0 1
 
4.3%
224.0 1
 
4.3%
20.0 1
 
4.3%
80.0 1
 
4.3%
10.0 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
0.0 7
30.4%
10.0 1
 
4.3%
19.8 1
 
4.3%
20.0 1
 
4.3%
32.0 1
 
4.3%
39.0 1
 
4.3%
39.6 1
 
4.3%
46.96 1
 
4.3%
66.0 1
 
4.3%
80.0 1
 
4.3%
ValueCountFrequency (%)
485.49 1
4.3%
231.12 1
4.3%
224.0 1
4.3%
165.0 1
4.3%
132.0 1
4.3%
100.0 1
4.3%
80.0 1
4.3%
66.0 1
4.3%
46.96 1
4.3%
39.6 1
4.3%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
4
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
4 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T04:27:28.774595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:29.099981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
4 1
 
4.3%
0 1
 
4.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
1 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T04:27:29.469935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:29.799591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
1 1
 
4.3%
0 1
 
4.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:30.238012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:30.628883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:31.028819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:31.385452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:31.759869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:32.133468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:32.524547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:32.914473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T04:27:33.355157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:33.714292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF224112200600000120061226<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **번지<NA><NA>베스트이엔에프2013-01-03 09:51:42I2018-08-31 23:59:59.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임물0.0<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>
13050000CDFF224112200600000220061011<NA>3폐업3폐업20090417<NA><NA><NA>1566-7172<NA>130842서울특별시 동대문구 장안동 ***-*번지 (*층)서울특별시 동대문구 장한로**길 * (장안동,(*층))<NA>(주)노다지무역2009-04-20 09:15:47I2018-08-31 23:59:59.0<NA>206070.526126451962.556336게임물배급업유통관련업<NA><NA>게임기10.0<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>
23050000CDFF224112200600000320060216<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA>927-7252<NA><NA>서울특별시 동대문구 용두동 ***-*번지 경호빌딩***호서울특별시 동대문구 왕산로**나길 ** (용두동,경호빌딩***호)<NA>(주)위버테크2013-01-03 09:53:13I2018-08-31 23:59:59.0<NA>202869.074187452745.387862게임물배급업유통관련업<NA><NA>게임물0.0<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>
33050000CDFF224112200700000120070529<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 ***-*번지 ***호서울특별시 동대문구 천호대로 ** (신설동,***호)<NA>알에스텍2013-01-03 09:47:59I2018-08-31 23:59:59.0<NA>202123.025511452472.988294게임물배급업유통관련업<NA><NA>온라인0.0<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>
43050000CDFF224112200700000220070712<NA>3폐업3폐업20090907<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 동환빌딩 ***호서울특별시 동대문구 천호대로 *** (장안동,동환빌딩 ***호)<NA>나이스굿소프트2009-09-08 10:22:37I2018-08-31 23:59:59.0<NA>205428.921463451103.14698게임물배급업유통관련업<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>
53050000CDFF224112200800000120080605<NA>3폐업3폐업20101228<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 ***번지 청량리현대코아 동관 *층 ***호서울특별시 동대문구 홍릉로 ** (청량리동,청량리현대코아 동관 *층 ***호)<NA>벅스퍼니2010-12-28 17:11:18I2018-08-31 23:59:59.0<NA>203851.375425453238.594218게임물배급업유통관련업<NA><NA>게임물165.0<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>
63050000CDFF224112200800000220081113<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 (동선빌딩 ***호)서울특별시 동대문구 천호대로 *** (장안동,(동선빌딩 ***호))<NA>(주)베스트에임2013-01-03 10:08:19I2018-08-31 23:59:59.0<NA>205142.103667451167.624821게임물배급업유통관련업<NA><NA>게임물0.0<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>
73050000CDFF224112200900000220090430<NA>3폐업3폐업20091224<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 (*층)서울특별시 동대문구 장한로 *** (장안동,(*층))<NA>드림소프트2009-12-29 11:27:01I2018-08-31 23:59:59.0<NA>206143.713445451918.270046게임물배급업유통관련업<NA><NA>게임물39.0<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>
83050000CDFF224112200900000320090526<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 **-**번지 (*층 ***호)서울특별시 동대문구 고산자로**길 ** (용두동,(*층 ***호))<NA>YJ soft2013-01-03 09:55:05I2018-08-31 23:59:59.0<NA>203519.527012452851.755317게임물배급업유통관련업<NA><NA>게임물39.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93050000CDFF224112201000000120100624<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **-*번지 동광동대문베르빌 ****호서울특별시 동대문구 천호대로 ** (신설동,동광동대문베르빌 ****호)<NA>스타전자2013-01-03 09:49:50I2018-08-31 23:59:59.0<NA>202257.985695452478.339896게임물배급업유통관련업<NA><NA>게임물46.96<NA><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
133050000CDFF224112201100000320111006<NA>3폐업3폐업20160712<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 **번지 주공아파트 ***동 ****호서울특별시 동대문구 한천로 ***, ***동 ****호 (휘경동,주공아파트)<NA>에프오에스게임즈(Fos Games)2016-07-12 15:59:26I2018-08-31 23:59:59.0<NA>206179.384647453411.742857게임물배급업유통관련업<NA><NA>온라인게임물0.0<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>
143050000CDFF224112201200000120120302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 대광연립 ***호서울특별시 동대문구 장한로**길 ** (장안동, 대광연립 ***호)2628할락2013-03-06 16:05:58I2018-08-31 23:59:59.0<NA>205782.432743451674.561381게임물배급업유통관련업<NA><NA>온라인게임물0.0<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>
153050000CDFF224112201200000320120427<NA>3폐업3폐업20140310<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 용헌빌딩 ***호서울특별시 동대문구 천호대로 *** (장안동, 용헌빌딩 ***호)130844(주)홀릭파크2014-03-10 13:58:25I2018-08-31 23:59:59.0<NA>205477.619474451094.412856게임물배급업유통관련업<NA><NA>온라인게임물132.0<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>
163050000CDFF224112201200000420121210<NA>3폐업3폐업20130329<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 ***-**번지서울특별시 동대문구 난계로 ***, *층 ***호 (신설동)130814우리소프트2013-04-01 11:04:52I2018-08-31 23:59:59.0<NA>202015.405338452340.246199게임물배급업유통관련업<NA><NA>온라인게임물20.041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173050000CDFF224112201500000120150319<NA>1영업/정상13영업중<NA><NA><NA><NA>2243-2020<NA><NA>서울특별시 동대문구 장안동 ***-*번지 ***호서울특별시 동대문구 천호대로**길 **, ***호 (장안동)2636(주) 게임앤퍼슨2015-03-19 13:20:59I2018-08-31 23:59:59.0<NA>205729.864932451314.311344게임물배급업유통관련업<NA><NA>소프트웨어224.0<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>
183050000CDFF224112201600000120161115<NA>1영업/정상13영업중<NA><NA><NA><NA>02-962-1340<NA><NA>서울특별시 동대문구 제기동 ***-*번지서울특별시 동대문구 약령중앙로 ** (제기동, 소창빌딩)2570주식회사 소창2016-11-15 17:51:44I2018-08-31 23:59:59.0<NA>203235.764276453335.364038게임물배급업유통관련업<NA><NA>PC/온라인게임66.0<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>
193050000CDFF224112201800000120180614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **-**번지서울특별시 동대문구 왕산로 **, 남서울빌딩 *, *층 (신설동)2580유지에이게임즈2018-06-14 16:35:00I2018-08-31 23:59:59.0<NA>202144.279994452691.433619게임물배급업유통관련업<NA><NA>istargame, 믹스마스터3485.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203050000CDFF224112202100000120210205<NA>1영업/정상13영업중<NA><NA><NA><NA>02-929-2220<NA><NA>서울특별시 동대문구 용두동 ***-* *층서울특별시 동대문구 무학로 ***, *층 (용두동)2577주식회사 아케아2021-02-05 16:42:32I2021-02-07 00:23:02.0<NA>202595.680742453139.329644게임물배급업유통관련업<NA><NA>아케이드231.12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213050000CDFF224112202100000220210820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-* 소창빌딩 ***호서울특별시 동대문구 약령중앙로 **, 소창빌딩 ***호 (제기동)2570비누게임 주식회사2021-08-20 17:45:51I2021-08-22 00:22:50.0<NA>203235.764276453335.364038게임물배급업유통관련업0<NA>소프트웨어19.800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
223050000CDFF22411220230000012023-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4193-4270<NA><NA>서울특별시 동대문구 답십리동 ***-*서울특별시 동대문구 고미술로 ***, ***호 (답십리동)2622(주)시고니스트2023-11-10 11:02:18I2022-10-31 23:02:00.0<NA>204999.40152451290.385715<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>