Overview

Dataset statistics

Number of variables56
Number of observations61
Missing cells1490
Missing cells (%)43.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.0 KiB
Average record size in memory486.2 B

Variable types

Categorical18
Text7
DateTime4
Unsupported19
Numeric8

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16762/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (87.9%)Imbalance
통로너비 is highly imbalanced (71.7%)Imbalance
조명시설조도 is highly imbalanced (71.7%)Imbalance
노래방실수 is highly imbalanced (71.7%)Imbalance
청소년실수 is highly imbalanced (71.7%)Imbalance
폐업일자 has 28 (45.9%) missing valuesMissing
휴업시작일자 has 61 (100.0%) missing valuesMissing
휴업종료일자 has 61 (100.0%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
전화번호 has 52 (85.2%) missing valuesMissing
소재지면적 has 61 (100.0%) missing valuesMissing
소재지우편번호 has 55 (90.2%) missing valuesMissing
도로명주소 has 1 (1.6%) missing valuesMissing
도로명우편번호 has 12 (19.7%) missing valuesMissing
업태구분명 has 61 (100.0%) missing valuesMissing
총층수 has 23 (37.7%) missing valuesMissing
제작취급품목내용 has 29 (47.5%) missing valuesMissing
시설면적 has 15 (24.6%) missing valuesMissing
지상층수 has 26 (42.6%) missing valuesMissing
비상계단여부 has 61 (100.0%) missing valuesMissing
비상구여부 has 61 (100.0%) missing valuesMissing
자동환기여부 has 61 (100.0%) missing valuesMissing
청소년실여부 has 61 (100.0%) missing valuesMissing
특수조명여부 has 61 (100.0%) missing valuesMissing
방음시설여부 has 61 (100.0%) missing valuesMissing
비디오재생기명 has 61 (100.0%) missing valuesMissing
조명시설유무 has 61 (100.0%) missing valuesMissing
음향시설여부 has 61 (100.0%) missing valuesMissing
편의시설여부 has 61 (100.0%) missing valuesMissing
소방시설여부 has 61 (100.0%) missing valuesMissing
총게임기수 has 37 (60.7%) missing valuesMissing
기존게임업외업종명 has 53 (86.9%) missing valuesMissing
공연장형태구분명 has 61 (100.0%) missing valuesMissing
품목명 has 61 (100.0%) missing valuesMissing
최초등록시점 has 61 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 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
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 2 (3.3%) zerosZeros
지상층수 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 03:56:34.516514
Analysis finished2024-05-11 03:56:36.057524
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3200000
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 61
100.0%

Length

2024-05-11T03:56:36.379733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:36.693238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 61
100.0%

관리번호
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T03:56:37.176717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1220
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

Unique61 ?
Unique (%)100.0%

Sample

1st rowCDFF2241032001000001
2nd rowCDFF2241032002000001
3rd rowCDFF2241032002000002
4th rowCDFF2241032002000003
5th rowCDFF2241032003000001
ValueCountFrequency (%)
cdff2241032001000001 1
 
1.6%
cdff2241032016000008 1
 
1.6%
cdff2241032017000001 1
 
1.6%
cdff2241032017000002 1
 
1.6%
cdff2241032017000003 1
 
1.6%
cdff2241032017000004 1
 
1.6%
cdff2241032017000005 1
 
1.6%
cdff2241032018000001 1
 
1.6%
cdff2241032018000002 1
 
1.6%
cdff2241032018000003 1
 
1.6%
Other values (51) 51
83.6%
2024-05-11T03:56:38.255571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 437
35.8%
2 206
16.9%
1 138
 
11.3%
F 122
 
10.0%
3 74
 
6.1%
4 71
 
5.8%
C 61
 
5.0%
D 61
 
5.0%
8 13
 
1.1%
6 13
 
1.1%
Other values (3) 24
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 976
80.0%
Uppercase Letter 244
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 437
44.8%
2 206
21.1%
1 138
 
14.1%
3 74
 
7.6%
4 71
 
7.3%
8 13
 
1.3%
6 13
 
1.3%
9 10
 
1.0%
7 8
 
0.8%
5 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 122
50.0%
C 61
25.0%
D 61
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 976
80.0%
Latin 244
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 437
44.8%
2 206
21.1%
1 138
 
14.1%
3 74
 
7.6%
4 71
 
7.3%
8 13
 
1.3%
6 13
 
1.3%
9 10
 
1.0%
7 8
 
0.8%
5 6
 
0.6%
Latin
ValueCountFrequency (%)
F 122
50.0%
C 61
25.0%
D 61
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 437
35.8%
2 206
16.9%
1 138
 
11.3%
F 122
 
10.0%
3 74
 
6.1%
4 71
 
5.8%
C 61
 
5.0%
D 61
 
5.0%
8 13
 
1.1%
6 13
 
1.1%
Other values (3) 24
 
2.0%

인허가일자
Date

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2001-12-29 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T03:56:38.770748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:56:39.400479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
60 
20071005
 
1

Length

Max length8
Median length4
Mean length4.0655738
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row20071005
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 60
98.4%
20071005 1
 
1.6%

Length

2024-05-11T03:56:40.013072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:40.454951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
98.4%
20071005 1
 
1.6%

영업상태코드
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
30 
1
27 
4
4 

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 (%)
3 30
49.2%
1 27
44.3%
4 4
 
6.6%

Length

2024-05-11T03:56:40.984858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:41.475817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
49.2%
1 27
44.3%
4 4
 
6.6%

영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
30 
영업/정상
27 
취소/말소/만료/정지/중지
4 

Length

Max length14
Median length5
Mean length4.1147541
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 (%)
폐업 30
49.2%
영업/정상 27
44.3%
취소/말소/만료/정지/중지 4
 
6.6%

Length

2024-05-11T03:56:41.905291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:42.234401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
49.2%
영업/정상 27
44.3%
취소/말소/만료/정지/중지 4
 
6.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3
30 
13
27 
35
 
3
31
 
1

Length

Max length2
Median length2
Mean length1.5081967
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row35
2nd row3
3rd row31
4th row35
5th row3

Common Values

ValueCountFrequency (%)
3 30
49.2%
13 27
44.3%
35 3
 
4.9%
31 1
 
1.6%

Length

2024-05-11T03:56:42.667230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:42.985964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
49.2%
13 27
44.3%
35 3
 
4.9%
31 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
폐업
30 
영업중
27 
직권말소
 
3
등록취소
 
1

Length

Max length4
Median length3
Mean length2.5737705
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
49.2%
영업중 27
44.3%
직권말소 3
 
4.9%
등록취소 1
 
1.6%

Length

2024-05-11T03:56:43.371305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:43.772415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
49.2%
영업중 27
44.3%
직권말소 3
 
4.9%
등록취소 1
 
1.6%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)100.0%
Missing28
Missing (%)45.9%
Memory size620.0 B
Minimum2004-02-24 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T03:56:44.259888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:56:44.847881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing52
Missing (%)85.2%
Memory size620.0 B
2024-05-11T03:56:45.395300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.4444444
Min length8

Characters and Unicode

Total characters85
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row885-2494
2nd row888-5850
3rd row876-3839
4th row877-8846
5th row802-2840
ValueCountFrequency (%)
885-2494 1
11.1%
888-5850 1
11.1%
876-3839 1
11.1%
877-8846 1
11.1%
802-2840 1
11.1%
070-7642-8823 1
11.1%
070-8299-8333 1
11.1%
02)862-9095 1
11.1%
887-3535 1
11.1%
2024-05-11T03:56:46.583571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 20
23.5%
- 11
12.9%
0 9
10.6%
2 8
 
9.4%
3 8
 
9.4%
7 7
 
8.2%
5 6
 
7.1%
9 6
 
7.1%
4 5
 
5.9%
6 4
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
85.9%
Dash Punctuation 11
 
12.9%
Close Punctuation 1
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 20
27.4%
0 9
12.3%
2 8
 
11.0%
3 8
 
11.0%
7 7
 
9.6%
5 6
 
8.2%
9 6
 
8.2%
4 5
 
6.8%
6 4
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 20
23.5%
- 11
12.9%
0 9
10.6%
2 8
 
9.4%
3 8
 
9.4%
7 7
 
8.2%
5 6
 
7.1%
9 6
 
7.1%
4 5
 
5.9%
6 4
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 20
23.5%
- 11
12.9%
0 9
10.6%
2 8
 
9.4%
3 8
 
9.4%
7 7
 
8.2%
5 6
 
7.1%
9 6
 
7.1%
4 5
 
5.9%
6 4
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing55
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean151714.33
Minimum151015
Maximum151895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:56:47.121366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151015
5-th percentile151215.25
Q1151820
median151834
Q3151878
95-th percentile151894.25
Maximum151895
Range880
Interquartile range (IQR)58

Descriptive statistics

Standard deviation344.16779
Coefficient of variation (CV)0.0022685252
Kurtosis5.8118106
Mean151714.33
Median Absolute Deviation (MAD)38
Skewness-2.3992445
Sum910286
Variance118451.47
MonotonicityNot monotonic
2024-05-11T03:56:47.574607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
151836 1
 
1.6%
151816 1
 
1.6%
151892 1
 
1.6%
151832 1
 
1.6%
151895 1
 
1.6%
151015 1
 
1.6%
(Missing) 55
90.2%
ValueCountFrequency (%)
151015 1
1.6%
151816 1
1.6%
151832 1
1.6%
151836 1
1.6%
151892 1
1.6%
151895 1
1.6%
ValueCountFrequency (%)
151895 1
1.6%
151892 1
1.6%
151836 1
1.6%
151832 1
1.6%
151816 1
1.6%
151015 1
1.6%

지번주소
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T03:56:48.289308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length25.639344
Min length19

Characters and Unicode

Total characters1564
Distinct characters58
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 봉천동 862-9번지
2nd row서울특별시 관악구 봉천동 181-7번지
3rd row서울특별시 관악구 신림동 1431-15번지
4th row서울특별시 관악구 봉천동 1656-22번지
5th row서울특별시 관악구 신림동 1533-4번지
ValueCountFrequency (%)
서울특별시 61
20.7%
관악구 61
20.7%
신림동 34
11.6%
봉천동 23
 
7.8%
지하1층 13
 
4.4%
3층 7
 
2.4%
2층 6
 
2.0%
남현동 4
 
1.4%
1층 3
 
1.0%
4층 3
 
1.0%
Other values (78) 79
26.9%
2024-05-11T03:56:49.569347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
17.8%
1 95
 
6.1%
동 62
 
4.0%
서 61
 
3.9%
- 61
 
3.9%
특 61
 
3.9%
별 61
 
3.9%
시 61
 
3.9%
관 61
 
3.9%
악 61
 
3.9%
Other values (48) 701
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
54.4%
Decimal Number 367
23.5%
Space Separator 279
 
17.8%
Dash Punctuation 61
 
3.9%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
7.3%
서 61
 
7.2%
특 61
 
7.2%
별 61
 
7.2%
시 61
 
7.2%
관 61
 
7.2%
악 61
 
7.2%
구 61
 
7.2%
울 61
 
7.2%
지 50
 
5.9%
Other values (32) 251
29.5%
Decimal Number
ValueCountFrequency (%)
1 95
25.9%
3 48
13.1%
2 45
12.3%
6 41
11.2%
5 35
 
9.5%
4 31
 
8.4%
8 25
 
6.8%
0 19
 
5.2%
7 15
 
4.1%
9 13
 
3.5%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
54.4%
Common 713
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
7.3%
서 61
 
7.2%
특 61
 
7.2%
별 61
 
7.2%
시 61
 
7.2%
관 61
 
7.2%
악 61
 
7.2%
구 61
 
7.2%
울 61
 
7.2%
지 50
 
5.9%
Other values (32) 251
29.5%
Common
ValueCountFrequency (%)
279
39.1%
1 95
 
13.3%
- 61
 
8.6%
3 48
 
6.7%
2 45
 
6.3%
6 41
 
5.8%
5 35
 
4.9%
4 31
 
4.3%
8 25
 
3.5%
0 19
 
2.7%
Other values (6) 34
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
54.4%
ASCII 713
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
39.1%
1 95
 
13.3%
- 61
 
8.6%
3 48
 
6.7%
2 45
 
6.3%
6 41
 
5.8%
5 35
 
4.9%
4 31
 
4.3%
8 25
 
3.5%
0 19
 
2.7%
Other values (6) 34
 
4.8%
Hangul
ValueCountFrequency (%)
동 62
 
7.3%
서 61
 
7.2%
특 61
 
7.2%
별 61
 
7.2%
시 61
 
7.2%
관 61
 
7.2%
악 61
 
7.2%
구 61
 
7.2%
울 61
 
7.2%
지 50
 
5.9%
Other values (32) 251
29.5%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size620.0 B
2024-05-11T03:56:50.592935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length30.533333
Min length22

Characters and Unicode

Total characters1832
Distinct characters98
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 관악로 167 (봉천동)
2nd row서울특별시 관악구 신림로 361 (신림동)
3rd row서울특별시 관악구 남부순환로 1964 (봉천동)
4th row서울특별시 관악구 신림로23길 36 (신림동)
5th row서울특별시 관악구 남부순환로 1627 (신림동)
ValueCountFrequency (%)
서울특별시 60
16.4%
관악구 60
16.4%
신림동 29
 
7.9%
봉천동 21
 
5.7%
지하1층 19
 
5.2%
남부순환로 12
 
3.3%
2층 10
 
2.7%
신림로 8
 
2.2%
3층 7
 
1.9%
관악로 6
 
1.6%
Other values (103) 134
36.6%
2024-05-11T03:56:52.222616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
17.2%
관 70
 
3.8%
악 70
 
3.8%
1 68
 
3.7%
시 63
 
3.4%
, 62
 
3.4%
동 61
 
3.3%
) 60
 
3.3%
( 60
 
3.3%
서 60
 
3.3%
Other values (88) 942
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
58.3%
Space Separator 316
 
17.2%
Decimal Number 261
 
14.2%
Other Punctuation 62
 
3.4%
Close Punctuation 60
 
3.3%
Open Punctuation 60
 
3.3%
Dash Punctuation 4
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 70
 
6.6%
악 70
 
6.6%
시 63
 
5.9%
동 61
 
5.7%
서 60
 
5.6%
구 60
 
5.6%
별 60
 
5.6%
특 60
 
5.6%
울 60
 
5.6%
로 55
 
5.1%
Other values (72) 449
42.0%
Decimal Number
ValueCountFrequency (%)
1 68
26.1%
2 43
16.5%
3 33
12.6%
5 28
10.7%
6 20
 
7.7%
7 19
 
7.3%
4 17
 
6.5%
9 17
 
6.5%
8 8
 
3.1%
0 8
 
3.1%
Space Separator
ValueCountFrequency (%)
316
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
58.3%
Common 764
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 70
 
6.6%
악 70
 
6.6%
시 63
 
5.9%
동 61
 
5.7%
서 60
 
5.6%
구 60
 
5.6%
별 60
 
5.6%
특 60
 
5.6%
울 60
 
5.6%
로 55
 
5.1%
Other values (72) 449
42.0%
Common
ValueCountFrequency (%)
316
41.4%
1 68
 
8.9%
, 62
 
8.1%
) 60
 
7.9%
( 60
 
7.9%
2 43
 
5.6%
3 33
 
4.3%
5 28
 
3.7%
6 20
 
2.6%
7 19
 
2.5%
Other values (6) 55
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
58.3%
ASCII 764
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
41.4%
1 68
 
8.9%
, 62
 
8.1%
) 60
 
7.9%
( 60
 
7.9%
2 43
 
5.6%
3 33
 
4.3%
5 28
 
3.7%
6 20
 
2.6%
7 19
 
2.5%
Other values (6) 55
 
7.2%
Hangul
ValueCountFrequency (%)
관 70
 
6.6%
악 70
 
6.6%
시 63
 
5.9%
동 61
 
5.7%
서 60
 
5.6%
구 60
 
5.6%
별 60
 
5.6%
특 60
 
5.6%
울 60
 
5.6%
로 55
 
5.1%
Other values (72) 449
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)63.3%
Missing12
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean23377.184
Minimum8700
Maximum151913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:56:52.889101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8711.2
Q18762
median8786
Q38806
95-th percentile151885.2
Maximum151913
Range143213
Interquartile range (IQR)44

Descriptive statistics

Standard deviation43766.801
Coefficient of variation (CV)1.8722016
Kurtosis5.5877483
Mean23377.184
Median Absolute Deviation (MAD)21
Skewness2.7131491
Sum1145482
Variance1.9155329 × 109
MonotonicityNot monotonic
2024-05-11T03:56:53.527856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8776 6
 
9.8%
8787 6
 
9.8%
8788 3
 
4.9%
8760 2
 
3.3%
8761 2
 
3.3%
8807 2
 
3.3%
8813 2
 
3.3%
151892 2
 
3.3%
8769 2
 
3.3%
8702 1
 
1.6%
Other values (21) 21
34.4%
(Missing) 12
19.7%
ValueCountFrequency (%)
8700 1
1.6%
8702 1
1.6%
8708 1
1.6%
8716 1
1.6%
8717 1
1.6%
8720 1
1.6%
8735 1
1.6%
8755 1
1.6%
8760 2
3.3%
8761 2
3.3%
ValueCountFrequency (%)
151913 1
1.6%
151892 2
3.3%
151875 1
1.6%
151822 1
1.6%
8865 1
1.6%
8844 1
1.6%
8813 2
3.3%
8808 1
1.6%
8807 2
3.3%
8806 1
1.6%

사업장명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T03:56:54.120721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.0163934
Min length1

Characters and Unicode

Total characters489
Distinct characters143
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

Unique61 ?
Unique (%)100.0%

Sample

1st row관악오락실
2nd row현대게임장
3rd row지구랜드
4th row(주)메가웹
5th row메가믹스
ValueCountFrequency (%)
pc방 10
 
10.4%
신림점 3
 
3.1%
멀티방 2
 
2.1%
짱오락실 2
 
2.1%
서울대입구점 2
 
2.1%
구로디지털점 2
 
2.1%
관악오락실 1
 
1.0%
피에스타 1
 
1.0%
라이바vr카페 1
 
1.0%
ne-t 1
 
1.0%
Other values (71) 71
74.0%
2024-05-11T03:56:55.477294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
7.2%
P 29
 
5.9%
C 28
 
5.7%
방 28
 
5.7%
스 20
 
4.1%
점 17
 
3.5%
이 14
 
2.9%
티 11
 
2.2%
멀 11
 
2.2%
림 8
 
1.6%
Other values (133) 288
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
71.6%
Uppercase Letter 75
 
15.3%
Space Separator 35
 
7.2%
Lowercase Letter 15
 
3.1%
Open Punctuation 5
 
1.0%
Close Punctuation 5
 
1.0%
Dash Punctuation 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 28
 
8.0%
스 20
 
5.7%
점 17
 
4.9%
이 14
 
4.0%
티 11
 
3.1%
멀 11
 
3.1%
림 8
 
2.3%
아 8
 
2.3%
신 8
 
2.3%
구 8
 
2.3%
Other values (105) 217
62.0%
Uppercase Letter
ValueCountFrequency (%)
P 29
38.7%
C 28
37.3%
E 2
 
2.7%
T 2
 
2.7%
V 2
 
2.7%
R 2
 
2.7%
A 2
 
2.7%
X 1
 
1.3%
G 1
 
1.3%
N 1
 
1.3%
Other values (5) 5
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
26.7%
c 2
13.3%
a 2
13.3%
t 2
13.3%
p 2
13.3%
l 1
 
6.7%
m 1
 
6.7%
b 1
 
6.7%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
71.6%
Latin 90
 
18.4%
Common 49
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 28
 
8.0%
스 20
 
5.7%
점 17
 
4.9%
이 14
 
4.0%
티 11
 
3.1%
멀 11
 
3.1%
림 8
 
2.3%
아 8
 
2.3%
신 8
 
2.3%
구 8
 
2.3%
Other values (105) 217
62.0%
Latin
ValueCountFrequency (%)
P 29
32.2%
C 28
31.1%
e 4
 
4.4%
E 2
 
2.2%
T 2
 
2.2%
V 2
 
2.2%
R 2
 
2.2%
c 2
 
2.2%
a 2
 
2.2%
t 2
 
2.2%
Other values (13) 15
16.7%
Common
ValueCountFrequency (%)
35
71.4%
( 5
 
10.2%
) 5
 
10.2%
- 3
 
6.1%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
71.6%
ASCII 139
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
25.2%
P 29
20.9%
C 28
20.1%
( 5
 
3.6%
) 5
 
3.6%
e 4
 
2.9%
- 3
 
2.2%
E 2
 
1.4%
T 2
 
1.4%
V 2
 
1.4%
Other values (18) 24
17.3%
Hangul
ValueCountFrequency (%)
방 28
 
8.0%
스 20
 
5.7%
점 17
 
4.9%
이 14
 
4.0%
티 11
 
3.1%
멀 11
 
3.1%
림 8
 
2.3%
아 8
 
2.3%
신 8
 
2.3%
구 8
 
2.3%
Other values (105) 217
62.0%

최종수정일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2004-02-25 13:34:24
Maximum2024-04-16 14:52:54
2024-05-11T03:56:56.049488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:56:56.558849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
U
32 
I
29 

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 (%)
U 32
52.5%
I 29
47.5%

Length

2024-05-11T03:56:56.992589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:56:57.430321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
52.5%
i 29
47.5%

데이터갱신일자
Date

Distinct37
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T03:56:58.208909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:56:58.855145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194432.56
Minimum191264.65
Maximum198284.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:56:59.835556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191264.65
5-th percentile191981.04
Q1193568.9
median194043.09
Q3195689.7
95-th percentile198209.15
Maximum198284.08
Range7019.4242
Interquartile range (IQR)2120.8013

Descriptive statistics

Standard deviation1724.1921
Coefficient of variation (CV)0.0088678156
Kurtosis-0.12632747
Mean194432.56
Median Absolute Deviation (MAD)1507.2812
Skewness0.43128808
Sum11860386
Variance2972838.5
MonotonicityNot monotonic
2024-05-11T03:57:00.565790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193621.36274653 2
 
3.3%
193688.002534384 2
 
3.3%
195705.629975999 1
 
1.6%
195745.298100555 1
 
1.6%
194351.525004882 1
 
1.6%
192676.104683152 1
 
1.6%
194470.35105685 1
 
1.6%
191981.036936685 1
 
1.6%
192381.753588978 1
 
1.6%
195817.34218676 1
 
1.6%
Other values (49) 49
80.3%
ValueCountFrequency (%)
191264.654358325 1
1.6%
191278.82541331 1
1.6%
191342.399599631 1
1.6%
191981.036936685 1
1.6%
192302.580115659 1
1.6%
192381.753588978 1
1.6%
192388.5241967 1
1.6%
192421.599066003 1
1.6%
192431.866028698 1
1.6%
192465.801292186 1
1.6%
ValueCountFrequency (%)
198284.078546351 1
1.6%
198274.871752809 1
1.6%
198222.688501877 1
1.6%
198209.153690741 1
1.6%
196997.453585186 1
1.6%
196923.78936764 1
1.6%
196695.878799801 1
1.6%
196170.099882534 1
1.6%
196165.814487952 1
1.6%
195817.34218676 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442103.66
Minimum440768.74
Maximum443216.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:57:01.255847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440768.74
5-th percentile440870.81
Q1441870.42
median442261.67
Q3442463.86
95-th percentile442707.27
Maximum443216.01
Range2447.2687
Interquartile range (IQR)593.43336

Descriptive statistics

Standard deviation538.22838
Coefficient of variation (CV)0.0012174258
Kurtosis0.36932942
Mean442103.66
Median Absolute Deviation (MAD)320.65311
Skewness-0.81988996
Sum26968323
Variance289689.79
MonotonicityNot monotonic
2024-05-11T03:57:01.856228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442585.488468309 2
 
3.3%
442387.531613201 2
 
3.3%
442012.599463251 1
 
1.6%
441880.72547039 1
 
1.6%
440768.73823811 1
 
1.6%
442286.128682872 1
 
1.6%
442697.441464161 1
 
1.6%
442033.910588057 1
 
1.6%
442321.90025098 1
 
1.6%
442059.746521611 1
 
1.6%
Other values (49) 49
80.3%
ValueCountFrequency (%)
440768.73823811 1
1.6%
440803.287819933 1
1.6%
440838.133078881 1
1.6%
440870.810556402 1
1.6%
441217.573026094 1
1.6%
441261.663634306 1
1.6%
441368.909286824 1
1.6%
441385.371424122 1
1.6%
441477.005178732 1
1.6%
441478.630537207 1
1.6%
ValueCountFrequency (%)
443216.006975605 1
1.6%
442795.896831605 1
1.6%
442741.161401911 1
1.6%
442707.27220087 1
1.6%
442697.441464161 1
1.6%
442695.980425928 1
1.6%
442694.194137711 1
1.6%
442686.536822162 1
1.6%
442671.32472479 1
1.6%
442595.201521853 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
복합유통게임제공업
47 
<NA>
14 

Length

Max length9
Median length9
Mean length7.852459
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 47
77.0%
<NA> 14
 
23.0%

Length

2024-05-11T03:57:02.436885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:02.921128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 47
77.0%
na 14
 
23.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
유통관련업
47 
<NA>
14 

Length

Max length5
Median length5
Mean length4.7704918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 47
77.0%
<NA> 14
 
23.0%

Length

2024-05-11T03:57:03.427496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:03.846463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 47
77.0%
na 14
 
23.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)34.2%
Missing23
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean6.2631579
Minimum0
Maximum23
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:57:04.293360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q14
median5
Q36
95-th percentile17.45
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.7686148
Coefficient of variation (CV)0.76137547
Kurtosis4.9143922
Mean6.2631579
Median Absolute Deviation (MAD)1
Skewness2.1118334
Sum238
Variance22.739687
MonotonicityNot monotonic
2024-05-11T03:57:04.888429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 8
 
13.1%
6 8
 
13.1%
4 7
 
11.5%
3 4
 
6.6%
10 2
 
3.3%
0 2
 
3.3%
2 1
 
1.6%
23 1
 
1.6%
20 1
 
1.6%
17 1
 
1.6%
Other values (3) 3
 
4.9%
(Missing) 23
37.7%
ValueCountFrequency (%)
0 2
 
3.3%
2 1
 
1.6%
3 4
6.6%
4 7
11.5%
5 8
13.1%
6 8
13.1%
7 1
 
1.6%
9 1
 
1.6%
10 2
 
3.3%
12 1
 
1.6%
ValueCountFrequency (%)
23 1
 
1.6%
20 1
 
1.6%
17 1
 
1.6%
12 1
 
1.6%
10 2
 
3.3%
9 1
 
1.6%
7 1
 
1.6%
6 8
13.1%
5 8
13.1%
4 7
11.5%

주변환경명
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
35 
유흥업소밀집지역
11 
주택가주변
8 
기타
7 

Length

Max length8
Median length4
Mean length4.6229508
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row유흥업소밀집지역
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 35
57.4%
유흥업소밀집지역 11
 
18.0%
주택가주변 8
 
13.1%
기타 7
 
11.5%

Length

2024-05-11T03:57:05.325075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:05.689701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
57.4%
유흥업소밀집지역 11
 
18.0%
주택가주변 8
 
13.1%
기타 7
 
11.5%

제작취급품목내용
Text

MISSING 

Distinct17
Distinct (%)53.1%
Missing29
Missing (%)47.5%
Memory size620.0 B
2024-05-11T03:57:06.216548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length13.53125
Min length5

Characters and Unicode

Total characters433
Distinct characters78
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

Unique16 ?
Unique (%)50.0%

Sample

1st row1개의 기기에서 게임?노래?영화감상 등 제공
2nd row복합유통게임제공업
3rd row게임,인터넷,노래연습,영화감상 등
4th row노래연습장,TV,영화감상,게임
5th row비디오물감상실업 등
ValueCountFrequency (%)
식품접객업(휴게음식점 18
40.9%
등 3
 
6.8%
휴게음식점 2
 
4.5%
식품소분.판매업(식품자동판매기영업 1
 
2.3%
복합유통게임제공업 1
 
2.3%
게임,인터넷,노래연습,영화감상 1
 
2.3%
노래연습장,tv,영화감상,게임 1
 
2.3%
비디오물감상실업 1
 
2.3%
노래,위게임,tv시청,영화등 1
 
2.3%
pc등 1
 
2.3%
Other values (14) 14
31.8%
2024-05-11T03:57:07.558546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 42
 
9.7%
업 26
 
6.0%
게 26
 
6.0%
품 22
 
5.1%
휴 20
 
4.6%
음 20
 
4.6%
점 20
 
4.6%
객 19
 
4.4%
접 19
 
4.4%
) 19
 
4.4%
Other values (68) 200
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
74.1%
Decimal Number 37
 
8.5%
Close Punctuation 19
 
4.4%
Open Punctuation 19
 
4.4%
Other Punctuation 15
 
3.5%
Space Separator 12
 
2.8%
Uppercase Letter 6
 
1.4%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 42
13.1%
업 26
 
8.1%
게 26
 
8.1%
품 22
 
6.9%
휴 20
 
6.2%
음 20
 
6.2%
점 20
 
6.2%
객 19
 
5.9%
접 19
 
5.9%
영 7
 
2.2%
Other values (47) 100
31.2%
Decimal Number
ValueCountFrequency (%)
1 7
18.9%
4 6
16.2%
9 6
16.2%
2 5
13.5%
0 5
13.5%
6 3
8.1%
7 2
 
5.4%
5 1
 
2.7%
3 1
 
2.7%
8 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
V 2
33.3%
C 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
? 2
 
13.3%
. 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
74.1%
Common 106
 
24.5%
Latin 6
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 42
13.1%
업 26
 
8.1%
게 26
 
8.1%
품 22
 
6.9%
휴 20
 
6.2%
음 20
 
6.2%
점 20
 
6.2%
객 19
 
5.9%
접 19
 
5.9%
영 7
 
2.2%
Other values (47) 100
31.2%
Common
ValueCountFrequency (%)
) 19
17.9%
( 19
17.9%
, 12
11.3%
12
11.3%
1 7
 
6.6%
4 6
 
5.7%
9 6
 
5.7%
2 5
 
4.7%
0 5
 
4.7%
- 4
 
3.8%
Other values (7) 11
10.4%
Latin
ValueCountFrequency (%)
T 2
33.3%
V 2
33.3%
C 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
74.1%
ASCII 112
 
25.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 42
13.1%
업 26
 
8.1%
게 26
 
8.1%
품 22
 
6.9%
휴 20
 
6.2%
음 20
 
6.2%
점 20
 
6.2%
객 19
 
5.9%
접 19
 
5.9%
영 7
 
2.2%
Other values (47) 100
31.2%
ASCII
ValueCountFrequency (%)
) 19
17.0%
( 19
17.0%
, 12
10.7%
12
10.7%
1 7
 
6.2%
4 6
 
5.4%
9 6
 
5.4%
2 5
 
4.5%
0 5
 
4.5%
- 4
 
3.6%
Other values (11) 17
15.2%

시설면적
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing15
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean229.62478
Minimum21.53
Maximum807.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:57:08.166430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.53
5-th percentile74.055
Q1140.1475
median191.185
Q3278.0975
95-th percentile418.35
Maximum807.35
Range785.82
Interquartile range (IQR)137.95

Descriptive statistics

Standard deviation156.77717
Coefficient of variation (CV)0.68275371
Kurtosis6.0541936
Mean229.62478
Median Absolute Deviation (MAD)77.37
Skewness2.1415213
Sum10562.74
Variance24579.082
MonotonicityNot monotonic
2024-05-11T03:57:08.845634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
77.22 1
 
1.6%
791.05 1
 
1.6%
807.35 1
 
1.6%
21.53 1
 
1.6%
82.27 1
 
1.6%
149.92 1
 
1.6%
149.2 1
 
1.6%
220.18 1
 
1.6%
330.68 1
 
1.6%
243.95 1
 
1.6%
Other values (36) 36
59.0%
(Missing) 15
24.6%
ValueCountFrequency (%)
21.53 1
1.6%
70.29 1
1.6%
73.0 1
1.6%
77.22 1
1.6%
79.6 1
1.6%
82.27 1
1.6%
97.01 1
1.6%
110.0 1
1.6%
117.0 1
1.6%
126.0 1
1.6%
ValueCountFrequency (%)
807.35 1
1.6%
791.05 1
1.6%
430.0 1
1.6%
383.4 1
1.6%
379.21 1
1.6%
375.09 1
1.6%
363.95 1
1.6%
349.29 1
1.6%
330.68 1
1.6%
305.2 1
1.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)28.6%
Missing26
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean3.6571429
Minimum0
Maximum14
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:57:09.390171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile7.6
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5775371
Coefficient of variation (CV)0.7047953
Kurtosis6.9393206
Mean3.6571429
Median Absolute Deviation (MAD)1
Skewness2.1308533
Sum128
Variance6.6436975
MonotonicityNot monotonic
2024-05-11T03:57:09.803720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 10
 
16.4%
2 6
 
9.8%
5 6
 
9.8%
4 4
 
6.6%
1 4
 
6.6%
9 1
 
1.6%
0 1
 
1.6%
14 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
(Missing) 26
42.6%
ValueCountFrequency (%)
0 1
 
1.6%
1 4
 
6.6%
2 6
9.8%
3 10
16.4%
4 4
 
6.6%
5 6
9.8%
6 1
 
1.6%
7 1
 
1.6%
9 1
 
1.6%
14 1
 
1.6%
ValueCountFrequency (%)
14 1
 
1.6%
9 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
5 6
9.8%
4 4
 
6.6%
3 10
16.4%
2 6
9.8%
1 4
 
6.6%
0 1
 
1.6%

지하층수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
36 
1
21 
2
 
2
0
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.7704918
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 36
59.0%
1 21
34.4%
2 2
 
3.3%
0 1
 
1.6%
3 1
 
1.6%

Length

2024-05-11T03:57:10.350227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:10.944146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
59.0%
1 21
34.4%
2 2
 
3.3%
0 1
 
1.6%
3 1
 
1.6%

건물용도명
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
31 
근린생활시설
27 
판매시설
 
1
숙박시설
 
1
의료시설
 
1

Length

Max length6
Median length4
Mean length4.8852459
Min length4

Unique

Unique3 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
50.8%
근린생활시설 27
44.3%
판매시설 1
 
1.6%
숙박시설 1
 
1.6%
의료시설 1
 
1.6%

Length

2024-05-11T03:57:11.602473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:12.060693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
50.8%
근린생활시설 27
44.3%
판매시설 1
 
1.6%
숙박시설 1
 
1.6%
의료시설 1
 
1.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
58 
0
 
3

Length

Max length4
Median length4
Mean length3.852459
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> 58
95.1%
0 3
 
4.9%

Length

2024-05-11T03:57:12.533581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:12.861706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
95.1%
0 3
 
4.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
58 
0
 
3

Length

Max length4
Median length4
Mean length3.852459
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> 58
95.1%
0 3
 
4.9%

Length

2024-05-11T03:57:13.287690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:13.740059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
95.1%
0 3
 
4.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
58 
0
 
3

Length

Max length4
Median length4
Mean length3.852459
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> 58
95.1%
0 3
 
4.9%

Length

2024-05-11T03:57:14.258739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:14.722184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
95.1%
0 3
 
4.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
58 
0
 
3

Length

Max length4
Median length4
Mean length3.852459
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> 58
95.1%
0 3
 
4.9%

Length

2024-05-11T03:57:15.158789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:15.490721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
95.1%
0 3
 
4.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing37
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean95.541667
Minimum7
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T03:57:15.880513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile15.2
Q161.5
median79
Q3108.5
95-th percentile261.5
Maximum315
Range308
Interquartile range (IQR)47

Descriptive statistics

Standard deviation71.72349
Coefficient of variation (CV)0.75070378
Kurtosis4.3816414
Mean95.541667
Median Absolute Deviation (MAD)25.5
Skewness1.9490532
Sum2293
Variance5144.2591
MonotonicityNot monotonic
2024-05-11T03:57:16.315783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
106 2
 
3.3%
7 1
 
1.6%
45 1
 
1.6%
69 1
 
1.6%
102 1
 
1.6%
60 1
 
1.6%
126 1
 
1.6%
122 1
 
1.6%
14 1
 
1.6%
116 1
 
1.6%
Other values (13) 13
 
21.3%
(Missing) 37
60.7%
ValueCountFrequency (%)
7 1
1.6%
14 1
1.6%
22 1
1.6%
45 1
1.6%
55 1
1.6%
60 1
1.6%
62 1
1.6%
64 1
1.6%
66 1
1.6%
69 1
1.6%
ValueCountFrequency (%)
315 1
1.6%
281 1
1.6%
151 1
1.6%
126 1
1.6%
122 1
1.6%
116 1
1.6%
106 2
3.3%
102 1
1.6%
90 1
1.6%
86 1
1.6%

기존게임업외업종명
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing53
Missing (%)86.9%
Memory size620.0 B
2024-05-11T03:57:16.963288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18.5
Mean length14
Min length5

Characters and Unicode

Total characters112
Distinct characters52
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)75.0%

Sample

1st row1개의 기기에서 게임?노래?영화감상 등 제공
2nd row1개의 기기에서 전체이용가 게임물 제공
3rd row노래연습, 영화감상 등
4th row노래연습장업, 비디오물감상실업 등
5th row식품접객업
ValueCountFrequency (%)
등 3
15.0%
식품접객업 2
10.0%
1개의 2
10.0%
기기에서 2
10.0%
제공 2
10.0%
게임?노래?영화감상 1
 
5.0%
전체이용가 1
 
5.0%
게임물 1
 
5.0%
노래연습 1
 
5.0%
영화감상 1
 
5.0%
Other values (4) 4
20.0%
2024-05-11T03:57:18.145251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.7%
업 6
 
5.4%
식 4
 
3.6%
품 4
 
3.6%
기 4
 
3.6%
노 3
 
2.7%
2 3
 
2.7%
제 3
 
2.7%
등 3
 
2.7%
상 3
 
2.7%
Other values (42) 67
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
72.3%
Space Separator 12
 
10.7%
Decimal Number 11
 
9.8%
Other Punctuation 5
 
4.5%
Open Punctuation 1
 
0.9%
Dash Punctuation 1
 
0.9%
Close Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6
 
7.4%
식 4
 
4.9%
품 4
 
4.9%
기 4
 
4.9%
노 3
 
3.7%
제 3
 
3.7%
등 3
 
3.7%
상 3
 
3.7%
래 3
 
3.7%
감 3
 
3.7%
Other values (29) 45
55.6%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
1 3
27.3%
9 2
18.2%
0 1
 
9.1%
4 1
 
9.1%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
? 2
40.0%
, 2
40.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
72.3%
Common 31
 
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6
 
7.4%
식 4
 
4.9%
품 4
 
4.9%
기 4
 
4.9%
노 3
 
3.7%
제 3
 
3.7%
등 3
 
3.7%
상 3
 
3.7%
래 3
 
3.7%
감 3
 
3.7%
Other values (29) 45
55.6%
Common
ValueCountFrequency (%)
12
38.7%
2 3
 
9.7%
1 3
 
9.7%
9 2
 
6.5%
? 2
 
6.5%
, 2
 
6.5%
0 1
 
3.2%
( 1
 
3.2%
4 1
 
3.2%
7 1
 
3.2%
Other values (3) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
72.3%
ASCII 31
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
38.7%
2 3
 
9.7%
1 3
 
9.7%
9 2
 
6.5%
? 2
 
6.5%
, 2
 
6.5%
0 1
 
3.2%
( 1
 
3.2%
4 1
 
3.2%
7 1
 
3.2%
Other values (3) 3
 
9.7%
Hangul
ValueCountFrequency (%)
업 6
 
7.4%
식 4
 
4.9%
품 4
 
4.9%
기 4
 
4.9%
노 3
 
3.7%
제 3
 
3.7%
등 3
 
3.7%
상 3
 
3.7%
래 3
 
3.7%
감 3
 
3.7%
Other values (29) 45
55.6%

제공게임물명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
36 
전체이용가
23 
청소년이용불가
 
2

Length

Max length7
Median length4
Mean length4.4754098
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
59.0%
전체이용가 23
37.7%
청소년이용불가 2
 
3.3%

Length

2024-05-11T03:57:18.807693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:19.258914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
59.0%
전체이용가 23
37.7%
청소년이용불가 2
 
3.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

지역구분명
Categorical

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
26 
일반상업지역
19 
일반주거지역
7 
준주거지역
6 
상업지역
 
2

Length

Max length6
Median length5
Mean length4.9508197
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row상업지역
2nd row준주거지역
3rd row상업지역
4th row준주거지역
5th row주거지역

Common Values

ValueCountFrequency (%)
<NA> 26
42.6%
일반상업지역 19
31.1%
일반주거지역 7
 
11.5%
준주거지역 6
 
9.8%
상업지역 2
 
3.3%
주거지역 1
 
1.6%

Length

2024-05-11T03:57:19.819232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:20.512436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
42.6%
일반상업지역 19
31.1%
일반주거지역 7
 
11.5%
준주거지역 6
 
9.8%
상업지역 2
 
3.3%
주거지역 1
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF224103200100000120011229<NA>4취소/말소/만료/정지/중지35직권말소20080327<NA><NA><NA>885-2494<NA>151836서울특별시 관악구 봉천동 862-9번지서울특별시 관악구 관악로 167 (봉천동)<NA>관악오락실2009-02-02 19:02:34I2018-08-31 23:59:59.0<NA>195705.629976442012.599463복합유통게임제공업유통관련업3유흥업소밀집지역<NA>110.03<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
13200000CDFF224103200200000120020115<NA>3폐업3폐업20040224<NA><NA><NA>888-5850<NA>151816서울특별시 관악구 봉천동 181-7번지<NA><NA>현대게임장2004-02-25 13:34:24I2018-08-31 23:59:59.0<NA>196923.789368441217.573026복합유통게임제공업유통관련업3기타<NA>430.021근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
23200000CDFF224103200200000220020311200710054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>876-3839<NA>151892서울특별시 관악구 신림동 1431-15번지서울특별시 관악구 신림로 361 (신림동)<NA>지구랜드2009-01-13 11:02:54I2018-08-31 23:59:59.0<NA>193651.40079442694.194138복합유통게임제공업유통관련업3유흥업소밀집지역<NA>126.021근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
33200000CDFF224103200200000320020726<NA>4취소/말소/만료/정지/중지35직권말소20080805<NA><NA><NA><NA><NA>151832서울특별시 관악구 봉천동 1656-22번지서울특별시 관악구 남부순환로 1964 (봉천동)<NA>(주)메가웹2008-10-07 10:00:21I2018-08-31 23:59:59.0<NA>196997.453585441478.630537복합유통게임제공업유통관련업2기타<NA>117.02<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
43200000CDFF224103200300000120030807<NA>3폐업3폐업20080321<NA><NA><NA>877-8846<NA>151895서울특별시 관악구 신림동 1533-4번지서울특별시 관악구 신림로23길 36 (신림동)<NA>메가믹스2008-03-21 11:01:59I2018-08-31 23:59:59.0<NA>194145.368012440803.28782복합유통게임제공업유통관련업5기타<NA>244.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
53200000CDFF224103200400000120040525<NA>3폐업3폐업20070615<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 1422-17번지서울특별시 관악구 남부순환로 1627 (신림동)<NA>플레이켓2007-06-22 15:48:33I2018-08-31 23:59:59.0<NA>193859.537538442511.026089복합유통게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF224103200800000120080529<NA>3폐업3폐업20120327<NA><NA><NA>802-2840<NA><NA>서울특별시 관악구 봉천동 952-18번지서울특별시 관악구 은천로 27 (봉천동)151913존앤존2012-03-27 14:06:10I2018-08-31 23:59:59.0<NA>194497.191875442695.980426복합유통게임제공업유통관련업<NA><NA><NA>305.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000CDFF224103200900000120090109<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7642-8823<NA><NA>서울특별시 관악구 신림동 1640-14 3층서울특별시 관악구 신림로 327, 3층 (신림동)8776스마일 신림점2021-01-14 13:58:06U2021-01-16 02:40:00.0<NA>193696.070209442369.818453복합유통게임제공업유통관련업5<NA>1개의 기기에서 게임?노래?영화감상 등 제공180.423<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1개의 기기에서 게임?노래?영화감상 등 제공전체이용가<NA><NA><NA>일반상업지역
83200000CDFF224103201000000120100611<NA>3폐업3폐업20150826<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1638-24번지 3층서울특별시 관악구 신림로59길 7 (신림동,3층)<NA>멀티 플러스2015-08-26 13:41:48I2018-08-31 23:59:59.0<NA>193676.763447442304.46217복합유통게임제공업유통관련업3<NA>복합유통게임제공업174.53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
93200000CDFF224103201000000220101217<NA>3폐업3폐업20110128<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1524-9번지 지상 2층서울특별시 관악구 호암로24길 15 (신림동,지상 2층)<NA>클론피씨클럽2011-01-28 12:56:34I2018-08-31 23:59:59.0<NA>194101.184978440870.810556복합유통게임제공업유통관련업6<NA><NA>160.52<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1개의 기기에서 전체이용가 게임물 제공전체이용가<NA><NA><NA>준주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
513200000CDFF224103201900000420190513<NA>3폐업3폐업20210709<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 869-12 대연빌딩서울특별시 관악구 남부순환로 1814, 대연빌딩 지하1층 2호 (봉천동)8787샤플PC 서울대입구점2021-07-09 18:31:32U2021-07-11 02:40:00.0<NA>195647.366394442105.342412복합유통게임제공업유통관련업12기타식품접객업(휴게음식점)272.4<NA>1의료시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>102<NA><NA><NA><NA><NA>일반상업지역
523200000CDFF22410320190000052019-06-10<NA>3폐업3폐업2024-02-26<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1686-23서울특별시 관악구 남부순환로 1927, 지하1층 (봉천동)8801로하스PC방2024-02-26 16:13:03U2023-12-01 22:08:00.0<NA>196695.8788441697.798941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533200000CDFF22410320190000062019-07-16<NA>3폐업3폐업2024-04-16<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 968-13서울특별시 관악구 봉천로 289, 지하1층 (봉천동)8720아이비스PC2024-04-16 14:52:54U2023-12-03 23:08:00.0<NA>194043.092892442795.896832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543200000CDFF224103201900000720190719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 409-83번지 지하1층서울특별시 관악구 신림로 257, 지하1층 (신림동)8844TEA PC방2019-07-19 16:28:42I2019-07-21 02:21:42.0<NA>193961.547711441738.923745복합유통게임제공업유통관련업5<NA>식품접객업(휴게음식점)190.7641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>69<NA>전체이용가<NA><NA><NA>일반주거지역
553200000CDFF22410320210000012021-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 522-2 창근빌딩 2층(신림동)서울특별시 관악구 난곡로 341, 창근빌딩 2층 (신림동)8767Game battle PC방2023-05-02 17:47:27U2022-12-05 00:04:00.0<NA>192302.580116442478.104578<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563200000CDFF224103202100000220211104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 862-10서울특별시 관악구 관악로15길 6, 1층, 지하1층 (봉천동)8787짱오락실 서울대입구점2021-11-04 20:12:15I2021-11-06 00:22:45.0<NA>195689.700662442020.136028복합유통게임제공업유통관련업0<NA>노래연습장업363.9511<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45<NA>전체이용가<NA><NA><NA><NA>
573200000CDFF224103202200000120221125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 702-102서울특별시 관악구 보라매로 17, 2층 (봉천동)8708찐오락실2022-11-25 10:06:15I2021-10-31 22:07:00.0<NA>193467.037702443216.006976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583200000CDFF22410320230000012023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 863-1 홍빌딩서울특별시 관악구 관악로 165, 홍빌딩 지하1층 (봉천동)8787레드포스pc2023-05-25 13:06:01I2022-12-04 22:07:00.0<NA>195697.211978441988.628637<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593200000CDFF22410320240000012024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 1062-15 덕인빌딩서울특별시 관악구 남현1길 58, 덕인빌딩 3층 (남현동)8806레벨업PC방 사당역점2024-02-29 12:41:52I2023-12-03 00:02:00.0<NA>198209.153691441502.542951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603200000CDFF22410320240000022024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 866-1서울특별시 관악구 관악로15길 17, 지하1층 (봉천동)8787탑플레이스PC방 서울대입구역점2024-03-28 09:24:39I2023-12-02 21:00:00.0<NA>195636.857061441997.826293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>