Overview

Dataset statistics

Number of variables56
Number of observations166
Missing cells4201
Missing cells (%)45.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.8 KiB
Average record size in memory485.8 B

Variable types

Categorical18
Text6
DateTime3
Numeric11
Unsupported18

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16769/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.7%)Imbalance
휴업종료일자 is highly imbalanced (94.7%)Imbalance
데이터갱신일자 is highly imbalanced (63.8%)Imbalance
문화체육업종명 is highly imbalanced (74.8%)Imbalance
문화사업자구분명 is highly imbalanced (74.8%)Imbalance
건물용도명 is highly imbalanced (57.3%)Imbalance
통로너비 is highly imbalanced (83.6%)Imbalance
노래방실수 is highly imbalanced (83.6%)Imbalance
청소년실수 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 160 (96.4%) missing valuesMissing
폐업일자 has 23 (13.9%) missing valuesMissing
재개업일자 has 166 (100.0%) missing valuesMissing
전화번호 has 151 (91.0%) missing valuesMissing
소재지면적 has 166 (100.0%) missing valuesMissing
소재지우편번호 has 145 (87.3%) missing valuesMissing
도로명주소 has 13 (7.8%) missing valuesMissing
도로명우편번호 has 94 (56.6%) missing valuesMissing
업태구분명 has 166 (100.0%) missing valuesMissing
좌표정보(X) has 4 (2.4%) missing valuesMissing
좌표정보(Y) has 4 (2.4%) missing valuesMissing
총층수 has 57 (34.3%) missing valuesMissing
제작취급품목내용 has 158 (95.2%) missing valuesMissing
시설면적 has 7 (4.2%) missing valuesMissing
지상층수 has 49 (29.5%) missing valuesMissing
지하층수 has 77 (46.4%) missing valuesMissing
조명시설조도 has 153 (92.2%) missing valuesMissing
비상계단여부 has 166 (100.0%) missing valuesMissing
비상구여부 has 166 (100.0%) missing valuesMissing
자동환기여부 has 166 (100.0%) missing valuesMissing
청소년실여부 has 166 (100.0%) missing valuesMissing
특수조명여부 has 166 (100.0%) missing valuesMissing
방음시설여부 has 166 (100.0%) missing valuesMissing
비디오재생기명 has 166 (100.0%) missing valuesMissing
조명시설유무 has 166 (100.0%) missing valuesMissing
음향시설여부 has 166 (100.0%) missing valuesMissing
편의시설여부 has 166 (100.0%) missing valuesMissing
소방시설여부 has 166 (100.0%) missing valuesMissing
총게임기수 has 118 (71.1%) missing valuesMissing
기존게임업외업종명 has 166 (100.0%) missing valuesMissing
공연장형태구분명 has 166 (100.0%) missing valuesMissing
품목명 has 166 (100.0%) missing valuesMissing
최초등록시점 has 166 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 (1.2%) zerosZeros
지상층수 has 2 (1.2%) zerosZeros
지하층수 has 4 (2.4%) zerosZeros
조명시설조도 has 4 (2.4%) zerosZeros
총게임기수 has 2 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-29 19:07:58.355679
Analysis finished2024-04-29 19:07:59.202259
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3020000
166 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 166
100.0%

Length

2024-04-30T04:07:59.266129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:07:59.343924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 166
100.0%

관리번호
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:07:59.496572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3320
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

Unique166 ?
Unique (%)100.0%

Sample

1st rowCDFF2241022007000001
2nd rowCDFF2241022007000002
3rd rowCDFF2241022007000003
4th rowCDFF2241022007000004
5th rowCDFF2241022007000005
ValueCountFrequency (%)
cdff2241022007000001 1
 
0.6%
cdff2241022009000004 1
 
0.6%
cdff2241022009000006 1
 
0.6%
cdff2241022009000007 1
 
0.6%
cdff2241022009000008 1
 
0.6%
cdff2241022009000009 1
 
0.6%
cdff2241022009000010 1
 
0.6%
cdff2241022009000011 1
 
0.6%
cdff2241022009000012 1
 
0.6%
cdff2241022009000013 1
 
0.6%
Other values (156) 156
94.0%
2024-04-30T04:07:59.785636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1211
36.5%
2 714
21.5%
F 332
 
10.0%
1 272
 
8.2%
4 203
 
6.1%
C 166
 
5.0%
D 166
 
5.0%
8 87
 
2.6%
7 47
 
1.4%
3 34
 
1.0%
Other values (3) 88
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2656
80.0%
Uppercase Letter 664
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1211
45.6%
2 714
26.9%
1 272
 
10.2%
4 203
 
7.6%
8 87
 
3.3%
7 47
 
1.8%
3 34
 
1.3%
5 31
 
1.2%
6 29
 
1.1%
9 28
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 332
50.0%
C 166
25.0%
D 166
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2656
80.0%
Latin 664
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1211
45.6%
2 714
26.9%
1 272
 
10.2%
4 203
 
7.6%
8 87
 
3.3%
7 47
 
1.8%
3 34
 
1.3%
5 31
 
1.2%
6 29
 
1.1%
9 28
 
1.1%
Latin
ValueCountFrequency (%)
F 332
50.0%
C 166
25.0%
D 166
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1211
36.5%
2 714
21.5%
F 332
 
10.0%
1 272
 
8.2%
4 203
 
6.1%
C 166
 
5.0%
D 166
 
5.0%
8 87
 
2.6%
7 47
 
1.4%
3 34
 
1.0%
Other values (3) 88
 
2.7%

인허가일자
Date

Distinct121
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-06-15 00:00:00
Maximum2022-07-01 00:00:00
2024-04-30T04:07:59.907259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:08:00.027745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing160
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean20152418
Minimum20110712
Maximum20190227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:00.142105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110712
5-th percentile20113160
Q120128152
median20156016
Q320176006
95-th percentile20187928
Maximum20190227
Range79515
Interquartile range (IQR)47853.5

Descriptive statistics

Standard deviation31876.101
Coefficient of variation (CV)0.0015817507
Kurtosis-1.6516618
Mean20152418
Median Absolute Deviation (MAD)29612.5
Skewness-0.24969014
Sum1.209145 × 108
Variance1.0160858 × 109
MonotonicityNot monotonic
2024-04-30T04:08:00.235196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20120502 1
 
0.6%
20110712 1
 
0.6%
20151103 1
 
0.6%
20160930 1
 
0.6%
20181031 1
 
0.6%
20190227 1
 
0.6%
(Missing) 160
96.4%
ValueCountFrequency (%)
20110712 1
0.6%
20120502 1
0.6%
20151103 1
0.6%
20160930 1
0.6%
20181031 1
0.6%
20190227 1
0.6%
ValueCountFrequency (%)
20190227 1
0.6%
20181031 1
0.6%
20160930 1
0.6%
20151103 1
0.6%
20120502 1
0.6%
20110712 1
0.6%

영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
85 
4
64 
1
16 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 85
51.2%
4 64
38.6%
1 16
 
9.6%
2 1
 
0.6%

Length

2024-04-30T04:08:00.338291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:00.432595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 85
51.2%
4 64
38.6%
1 16
 
9.6%
2 1
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
85 
취소/말소/만료/정지/중지
64 
영업/정상
16 
휴업
 
1

Length

Max length14
Median length2
Mean length6.9156627
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 85
51.2%
취소/말소/만료/정지/중지 64
38.6%
영업/정상 16
 
9.6%
휴업 1
 
0.6%

Length

2024-04-30T04:08:00.551083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:00.644323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 85
51.2%
취소/말소/만료/정지/중지 64
38.6%
영업/정상 16
 
9.6%
휴업 1
 
0.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
85 
35
58 
13
16 
31
 
6
2
 
1

Length

Max length2
Median length1
Mean length1.4819277
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 85
51.2%
35 58
34.9%
13 16
 
9.6%
31 6
 
3.6%
2 1
 
0.6%

Length

2024-04-30T04:08:00.750183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:00.839277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 85
51.2%
35 58
34.9%
13 16
 
9.6%
31 6
 
3.6%
2 1
 
0.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
85 
직권말소
58 
영업중
16 
등록취소
 
6
휴업
 
1

Length

Max length4
Median length2
Mean length2.8674699
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 85
51.2%
직권말소 58
34.9%
영업중 16
 
9.6%
등록취소 6
 
3.6%
휴업 1
 
0.6%

Length

2024-04-30T04:08:00.953120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:01.067651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 85
51.2%
직권말소 58
34.9%
영업중 16
 
9.6%
등록취소 6
 
3.6%
휴업 1
 
0.6%

폐업일자
Date

MISSING 

Distinct98
Distinct (%)68.5%
Missing23
Missing (%)13.9%
Memory size1.4 KiB
Minimum2008-01-22 00:00:00
Maximum2023-11-13 00:00:00
2024-04-30T04:08:01.171984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:08:01.284636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
165 
20211014
 
1

Length

Max length8
Median length4
Mean length4.0240964
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
99.4%
20211014 1
 
0.6%

Length

2024-04-30T04:08:01.400945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:01.498776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
99.4%
20211014 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
165 
20231013
 
1

Length

Max length8
Median length4
Mean length4.0240964
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
99.4%
20231013 1
 
0.6%

Length

2024-04-30T04:08:01.604150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:01.692743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
99.4%
20231013 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing151
Missing (%)91.0%
Memory size1.4 KiB
2024-04-30T04:08:01.819992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.6666667
Min length8

Characters and Unicode

Total characters145
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row711-3317
2nd row02-3273-7696
3rd row713-8465
4th row070-4217-4272
5th row02-711-7045
ValueCountFrequency (%)
711-3317 1
 
6.7%
02-3273-7696 1
 
6.7%
713-8465 1
 
6.7%
070-4217-4272 1
 
6.7%
02-711-7045 1
 
6.7%
027279477 1
 
6.7%
797-7769 1
 
6.7%
753-0323 1
 
6.7%
02-790-2277 1
 
6.7%
711-8006 1
 
6.7%
Other values (5) 5
33.3%
2024-04-30T04:08:02.087022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 34
23.4%
- 20
13.8%
0 18
12.4%
2 18
12.4%
1 11
 
7.6%
3 10
 
6.9%
6 8
 
5.5%
9 8
 
5.5%
8 7
 
4.8%
4 7
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
86.2%
Dash Punctuation 20
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 34
27.2%
0 18
14.4%
2 18
14.4%
1 11
 
8.8%
3 10
 
8.0%
6 8
 
6.4%
9 8
 
6.4%
8 7
 
5.6%
4 7
 
5.6%
5 4
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 34
23.4%
- 20
13.8%
0 18
12.4%
2 18
12.4%
1 11
 
7.6%
3 10
 
6.9%
6 8
 
5.5%
9 8
 
5.5%
8 7
 
4.8%
4 7
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 34
23.4%
- 20
13.8%
0 18
12.4%
2 18
12.4%
1 11
 
7.6%
3 10
 
6.9%
6 8
 
5.5%
9 8
 
5.5%
8 7
 
4.8%
4 7
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)81.0%
Missing145
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean140636.29
Minimum140011
Maximum140909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:02.206869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140011
5-th percentile140070
Q1140160
median140824
Q3140855
95-th percentile140887
Maximum140909
Range898
Interquartile range (IQR)695

Descriptive statistics

Standard deviation347.13962
Coefficient of variation (CV)0.0024683503
Kurtosis-0.96649183
Mean140636.29
Median Absolute Deviation (MAD)41
Skewness-1.0315894
Sum2953362
Variance120505.91
MonotonicityNot monotonic
2024-04-30T04:08:02.295909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
140160 2
 
1.2%
140887 2
 
1.2%
140832 2
 
1.2%
140821 2
 
1.2%
140865 1
 
0.6%
140909 1
 
0.6%
140854 1
 
0.6%
140090 1
 
0.6%
140869 1
 
0.6%
140855 1
 
0.6%
Other values (7) 7
 
4.2%
(Missing) 145
87.3%
ValueCountFrequency (%)
140011 1
0.6%
140070 1
0.6%
140090 1
0.6%
140132 1
0.6%
140160 2
1.2%
140819 1
0.6%
140821 2
1.2%
140823 1
0.6%
140824 1
0.6%
140832 2
1.2%
ValueCountFrequency (%)
140909 1
0.6%
140887 2
1.2%
140869 1
0.6%
140865 1
0.6%
140855 1
0.6%
140854 1
0.6%
140841 1
0.6%
140832 2
1.2%
140824 1
0.6%
140823 1
0.6%

지번주소
Text

Distinct158
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:08:02.530706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length24.457831
Min length19

Characters and Unicode

Total characters4060
Distinct characters90
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)91.0%

Sample

1st row서울특별시 용산구 동자동 43-59번지
2nd row서울특별시 용산구 보광동 243-2번지
3rd row서울특별시 용산구 보광동 260-3번지
4th row서울특별시 용산구 용문동 6-9번지
5th row서울특별시 용산구 한남동 757-20번지
ValueCountFrequency (%)
서울특별시 166
21.9%
용산구 166
21.9%
2층 24
 
3.2%
한남동 23
 
3.0%
동자동 14
 
1.8%
갈월동 13
 
1.7%
보광동 12
 
1.6%
3층 12
 
1.6%
청파동2가 12
 
1.6%
용문동 12
 
1.6%
Other values (203) 303
40.0%
2024-04-30T04:08:02.904998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
745
18.3%
용 186
 
4.6%
산 177
 
4.4%
서 173
 
4.3%
지 171
 
4.2%
시 167
 
4.1%
특 166
 
4.1%
구 166
 
4.1%
울 166
 
4.1%
별 166
 
4.1%
Other values (80) 1777
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2354
58.0%
Decimal Number 789
 
19.4%
Space Separator 745
 
18.3%
Dash Punctuation 156
 
3.8%
Other Punctuation 7
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 186
 
7.9%
산 177
 
7.5%
서 173
 
7.3%
지 171
 
7.3%
시 167
 
7.1%
특 166
 
7.1%
구 166
 
7.1%
울 166
 
7.1%
별 166
 
7.1%
동 164
 
7.0%
Other values (62) 652
27.7%
Decimal Number
ValueCountFrequency (%)
1 158
20.0%
2 153
19.4%
3 115
14.6%
6 66
8.4%
4 65
8.2%
5 62
 
7.9%
0 53
 
6.7%
9 42
 
5.3%
7 38
 
4.8%
8 37
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2354
58.0%
Common 1704
42.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 186
 
7.9%
산 177
 
7.5%
서 173
 
7.3%
지 171
 
7.3%
시 167
 
7.1%
특 166
 
7.1%
구 166
 
7.1%
울 166
 
7.1%
별 166
 
7.1%
동 164
 
7.0%
Other values (62) 652
27.7%
Common
ValueCountFrequency (%)
745
43.7%
1 158
 
9.3%
- 156
 
9.2%
2 153
 
9.0%
3 115
 
6.7%
6 66
 
3.9%
4 65
 
3.8%
5 62
 
3.6%
0 53
 
3.1%
9 42
 
2.5%
Other values (7) 89
 
5.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2354
58.0%
ASCII 1706
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
745
43.7%
1 158
 
9.3%
- 156
 
9.1%
2 153
 
9.0%
3 115
 
6.7%
6 66
 
3.9%
4 65
 
3.8%
5 62
 
3.6%
0 53
 
3.1%
9 42
 
2.5%
Other values (8) 91
 
5.3%
Hangul
ValueCountFrequency (%)
용 186
 
7.9%
산 177
 
7.5%
서 173
 
7.3%
지 171
 
7.3%
시 167
 
7.1%
특 166
 
7.1%
구 166
 
7.1%
울 166
 
7.1%
별 166
 
7.1%
동 164
 
7.0%
Other values (62) 652
27.7%

도로명주소
Text

MISSING 

Distinct149
Distinct (%)97.4%
Missing13
Missing (%)7.8%
Memory size1.4 KiB
2024-04-30T04:08:03.170602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length36
Mean length29.098039
Min length22

Characters and Unicode

Total characters4452
Distinct characters111
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

Unique145 ?
Unique (%)94.8%

Sample

1st row서울특별시 용산구 한강대로 385 (동자동)
2nd row서울특별시 용산구 보광로 63 (보광동, 새방샘터빌딩)
3rd row서울특별시 용산구 보광로24길 12 (보광동)
4th row서울특별시 용산구 효창원로 111 (용문동)
5th row서울특별시 용산구 우사단로10길 79-1 (한남동)
ValueCountFrequency (%)
서울특별시 153
 
18.1%
용산구 153
 
18.1%
한강대로 25
 
3.0%
한남동 19
 
2.3%
2층 16
 
1.9%
보광동 10
 
1.2%
보광로 10
 
1.2%
새창로 10
 
1.2%
용문동 9
 
1.1%
청파동2가 9
 
1.1%
Other values (239) 430
50.9%
2024-04-30T04:08:03.548181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
 
17.1%
용 172
 
3.9%
로 169
 
3.8%
산 165
 
3.7%
서 162
 
3.6%
( 156
 
3.5%
) 156
 
3.5%
시 154
 
3.5%
동 153
 
3.4%
구 153
 
3.4%
Other values (101) 2249
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2583
58.0%
Space Separator 763
 
17.1%
Decimal Number 661
 
14.8%
Open Punctuation 156
 
3.5%
Close Punctuation 156
 
3.5%
Other Punctuation 108
 
2.4%
Dash Punctuation 23
 
0.5%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 172
 
6.7%
로 169
 
6.5%
산 165
 
6.4%
서 162
 
6.3%
시 154
 
6.0%
동 153
 
5.9%
구 153
 
5.9%
울 153
 
5.9%
특 153
 
5.9%
별 153
 
5.9%
Other values (84) 996
38.6%
Decimal Number
ValueCountFrequency (%)
1 145
21.9%
2 130
19.7%
3 86
13.0%
4 62
9.4%
7 55
 
8.3%
0 44
 
6.7%
8 38
 
5.7%
9 37
 
5.6%
6 33
 
5.0%
5 31
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 106
98.1%
/ 2
 
1.9%
Space Separator
ValueCountFrequency (%)
763
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2583
58.0%
Common 1867
41.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 172
 
6.7%
로 169
 
6.5%
산 165
 
6.4%
서 162
 
6.3%
시 154
 
6.0%
동 153
 
5.9%
구 153
 
5.9%
울 153
 
5.9%
특 153
 
5.9%
별 153
 
5.9%
Other values (84) 996
38.6%
Common
ValueCountFrequency (%)
763
40.9%
( 156
 
8.4%
) 156
 
8.4%
1 145
 
7.8%
2 130
 
7.0%
, 106
 
5.7%
3 86
 
4.6%
4 62
 
3.3%
7 55
 
2.9%
0 44
 
2.4%
Other values (6) 164
 
8.8%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2583
58.0%
ASCII 1869
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
40.8%
( 156
 
8.3%
) 156
 
8.3%
1 145
 
7.8%
2 130
 
7.0%
, 106
 
5.7%
3 86
 
4.6%
4 62
 
3.3%
7 55
 
2.9%
0 44
 
2.4%
Other values (7) 166
 
8.9%
Hangul
ValueCountFrequency (%)
용 172
 
6.7%
로 169
 
6.5%
산 165
 
6.4%
서 162
 
6.3%
시 154
 
6.0%
동 153
 
5.9%
구 153
 
5.9%
울 153
 
5.9%
특 153
 
5.9%
별 153
 
5.9%
Other values (84) 996
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)58.3%
Missing94
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean19520.208
Minimum4300
Maximum140887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:03.676335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4302.2
Q14321.75
median4363.5
Q34402
95-th percentile140838.75
Maximum140887
Range136587
Interquartile range (IQR)80.25

Descriptive statistics

Standard deviation43194.804
Coefficient of variation (CV)2.2128249
Kurtosis4.5146642
Mean19520.208
Median Absolute Deviation (MAD)41.5
Skewness2.5278415
Sum1405455
Variance1.8657911 × 109
MonotonicityNot monotonic
2024-04-30T04:08:03.799637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4310 4
 
2.4%
4300 4
 
2.4%
4401 4
 
2.4%
4320 3
 
1.8%
4331 3
 
1.8%
4402 3
 
1.8%
4364 3
 
1.8%
4406 3
 
1.8%
4321 3
 
1.8%
140832 2
 
1.2%
Other values (32) 40
24.1%
(Missing) 94
56.6%
ValueCountFrequency (%)
4300 4
2.4%
4304 1
 
0.6%
4308 1
 
0.6%
4309 2
1.2%
4310 4
2.4%
4320 3
1.8%
4321 3
1.8%
4322 2
1.2%
4324 2
1.2%
4328 1
 
0.6%
ValueCountFrequency (%)
140887 1
0.6%
140848 1
0.6%
140847 2
1.2%
140832 2
1.2%
140823 1
0.6%
140821 1
0.6%
4425 1
0.6%
4424 1
0.6%
4415 1
0.6%
4414 1
0.6%

사업장명
Text

Distinct157
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T04:08:04.038114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.5301205
Min length2

Characters and Unicode

Total characters1084
Distinct characters217
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)89.8%

Sample

1st row타운pc방
2nd row테라스 PC CAFE
3rd row블루스카이
4th row곰지pc방
5th rowboss pc방
ValueCountFrequency (%)
pc방 32
 
14.5%
pc 8
 
3.6%
3pop 5
 
2.3%
샹떼pc방 3
 
1.4%
클릭pc방 3
 
1.4%
사이버리아pc방 2
 
0.9%
유니넷pc방 2
 
0.9%
용문pc방 2
 
0.9%
제노pc방 2
 
0.9%
스타워즈pc방 2
 
0.9%
Other values (155) 159
72.3%
2024-04-30T04:08:04.385359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 112
 
10.3%
P 90
 
8.3%
C 80
 
7.4%
p 71
 
6.5%
c 70
 
6.5%
54
 
5.0%
이 44
 
4.1%
스 34
 
3.1%
아 17
 
1.6%
넷 13
 
1.2%
Other values (207) 499
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
58.8%
Uppercase Letter 203
 
18.7%
Lowercase Letter 162
 
14.9%
Space Separator 54
 
5.0%
Decimal Number 12
 
1.1%
Close Punctuation 6
 
0.6%
Open Punctuation 6
 
0.6%
Dash Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 112
 
17.6%
이 44
 
6.9%
스 34
 
5.3%
아 17
 
2.7%
넷 13
 
2.0%
리 12
 
1.9%
버 11
 
1.7%
카 11
 
1.7%
드 9
 
1.4%
로 8
 
1.3%
Other values (166) 366
57.5%
Uppercase Letter
ValueCountFrequency (%)
P 90
44.3%
C 80
39.4%
N 5
 
2.5%
O 5
 
2.5%
S 4
 
2.0%
T 3
 
1.5%
L 3
 
1.5%
A 2
 
1.0%
U 2
 
1.0%
E 2
 
1.0%
Other values (7) 7
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
p 71
43.8%
c 70
43.2%
o 5
 
3.1%
e 4
 
2.5%
s 2
 
1.2%
a 2
 
1.2%
m 2
 
1.2%
x 1
 
0.6%
b 1
 
0.6%
l 1
 
0.6%
Other values (3) 3
 
1.9%
Decimal Number
ValueCountFrequency (%)
3 6
50.0%
2 2
 
16.7%
1 2
 
16.7%
6 1
 
8.3%
8 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
58.8%
Latin 365
33.7%
Common 82
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 112
 
17.6%
이 44
 
6.9%
스 34
 
5.3%
아 17
 
2.7%
넷 13
 
2.0%
리 12
 
1.9%
버 11
 
1.7%
카 11
 
1.7%
드 9
 
1.4%
로 8
 
1.3%
Other values (166) 366
57.5%
Latin
ValueCountFrequency (%)
P 90
24.7%
C 80
21.9%
p 71
19.5%
c 70
19.2%
N 5
 
1.4%
o 5
 
1.4%
O 5
 
1.4%
S 4
 
1.1%
e 4
 
1.1%
T 3
 
0.8%
Other values (20) 28
 
7.7%
Common
ValueCountFrequency (%)
54
65.9%
3 6
 
7.3%
) 6
 
7.3%
( 6
 
7.3%
2 2
 
2.4%
1 2
 
2.4%
- 2
 
2.4%
. 1
 
1.2%
6 1
 
1.2%
8 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
58.8%
ASCII 447
41.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 112
 
17.6%
이 44
 
6.9%
스 34
 
5.3%
아 17
 
2.7%
넷 13
 
2.0%
리 12
 
1.9%
버 11
 
1.7%
카 11
 
1.7%
드 9
 
1.4%
로 8
 
1.3%
Other values (166) 366
57.5%
ASCII
ValueCountFrequency (%)
P 90
20.1%
C 80
17.9%
p 71
15.9%
c 70
15.7%
54
12.1%
3 6
 
1.3%
) 6
 
1.3%
( 6
 
1.3%
N 5
 
1.1%
o 5
 
1.1%
Other values (31) 54
12.1%

최종수정일자
Date

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-01-22 14:18:26
Maximum2024-02-29 09:30:47
2024-04-30T04:08:04.668380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:08:04.783468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
131 
U
35 

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 131
78.9%
U 35
 
21.1%

Length

2024-04-30T04:08:04.882251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:04.964919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 131
78.9%
u 35
 
21.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct28
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
130 
2022-03-27 02:40:00.0
 
4
2020-07-23 02:40:00.0
 
4
2021-04-23 02:40:00.0
 
3
2018-11-02 02:36:08.0
 
2
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique23 ?
Unique (%)13.9%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 130
78.3%
2022-03-27 02:40:00.0 4
 
2.4%
2020-07-23 02:40:00.0 4
 
2.4%
2021-04-23 02:40:00.0 3
 
1.8%
2018-11-02 02:36:08.0 2
 
1.2%
2021-12-07 00:06:00.0 1
 
0.6%
2019-11-07 02:40:00.0 1
 
0.6%
2018-10-11 23:59:59.0 1
 
0.6%
2019-10-03 02:40:00.0 1
 
0.6%
2022-12-03 00:01:00.0 1
 
0.6%
Other values (18) 18
 
10.8%

Length

2024-04-30T04:08:05.058457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 131
39.5%
2018-08-31 130
39.2%
02:40:00.0 25
 
7.5%
2022-03-27 4
 
1.2%
2020-07-23 4
 
1.2%
2021-04-23 3
 
0.9%
2022-10-31 2
 
0.6%
2018-11-02 2
 
0.6%
02:36:08.0 2
 
0.6%
2019-04-19 1
 
0.3%
Other values (28) 28
 
8.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)87.7%
Missing4
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean197975.99
Minimum195580.09
Maximum200521.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:05.158971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195580.09
5-th percentile196292.68
Q1196998.35
median197478.69
Q3199400.57
95-th percentile200429.08
Maximum200521.21
Range4941.114
Interquartile range (IQR)2402.2152

Descriptive statistics

Standard deviation1379.0112
Coefficient of variation (CV)0.0069655477
Kurtosis-1.0100348
Mean197975.99
Median Absolute Deviation (MAD)920.96798
Skewness0.56601786
Sum32072111
Variance1901671.9
MonotonicityNot monotonic
2024-04-30T04:08:05.278572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196998.349929352 3
 
1.8%
197219.946541412 3
 
1.8%
196999.869048393 2
 
1.2%
196546.598003309 2
 
1.2%
196394.660344263 2
 
1.2%
197443.881826007 2
 
1.2%
197557.430886852 2
 
1.2%
196993.838133124 2
 
1.2%
198101.445232724 2
 
1.2%
200431.145594386 2
 
1.2%
Other values (132) 140
84.3%
(Missing) 4
 
2.4%
ValueCountFrequency (%)
195580.091935429 1
0.6%
195935.729701638 1
0.6%
196018.516018461 1
0.6%
196042.960109242 1
0.6%
196209.832221119 1
0.6%
196237.272004263 1
0.6%
196287.477524787 1
0.6%
196290.526521217 1
0.6%
196292.452133621 1
0.6%
196296.919923838 1
0.6%
ValueCountFrequency (%)
200521.205930699 1
0.6%
200514.811794271 1
0.6%
200480.927496779 1
0.6%
200474.642401344 1
0.6%
200456.643966608 1
0.6%
200455.14401596 1
0.6%
200431.145594386 2
1.2%
200429.934020602 1
0.6%
200412.822072876 2
1.2%
200397.209931802 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)87.7%
Missing4
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean448575.41
Minimum446202.37
Maximum450288.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:05.396486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446202.37
5-th percentile447230.26
Q1447891.58
median448467.74
Q3449258.49
95-th percentile450063.43
Maximum450288.56
Range4086.1968
Interquartile range (IQR)1366.9031

Descriptive statistics

Standard deviation958.16767
Coefficient of variation (CV)0.0021360236
Kurtosis-0.78174615
Mean448575.41
Median Absolute Deviation (MAD)703.51246
Skewness-0.059144638
Sum72669217
Variance918085.28
MonotonicityNot monotonic
2024-04-30T04:08:05.549646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449258.487063742 3
 
1.8%
449672.447268519 3
 
1.8%
449223.952135498 2
 
1.2%
448172.266377937 2
 
1.2%
448084.951029642 2
 
1.2%
448884.957554763 2
 
1.2%
448906.295603885 2
 
1.2%
449201.432096601 2
 
1.2%
449672.909204653 2
 
1.2%
447763.414163072 2
 
1.2%
Other values (132) 140
84.3%
(Missing) 4
 
2.4%
ValueCountFrequency (%)
446202.36502252 1
0.6%
446262.544080318 1
0.6%
446472.699664903 1
0.6%
446586.516612702 1
0.6%
446839.941676721 1
0.6%
446968.716291554 1
0.6%
446992.730365646 1
0.6%
447043.764420482 1
0.6%
447229.993629727 1
0.6%
447235.419074425 1
0.6%
ValueCountFrequency (%)
450288.561776513 1
0.6%
450255.757958327 1
0.6%
450247.06018934 2
1.2%
450211.855107496 1
0.6%
450171.953371765 1
0.6%
450149.461274706 1
0.6%
450144.523705321 1
0.6%
450063.434682284 2
1.2%
450036.717225942 1
0.6%
450020.433308027 1
0.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
인터넷컴퓨터게임시설제공업
159 
<NA>
 
7

Length

Max length13
Median length13
Mean length12.620482
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 159
95.8%
<NA> 7
 
4.2%

Length

2024-04-30T04:08:05.703272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:05.807017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 159
95.8%
na 7
 
4.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
159 
<NA>
 
7

Length

Max length5
Median length5
Mean length4.9578313
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 159
95.8%
<NA> 7
 
4.2%

Length

2024-04-30T04:08:05.910947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:06.015467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 159
95.8%
na 7
 
4.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)10.1%
Missing57
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean4.4495413
Minimum0
Maximum13
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:06.103559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9649062
Coefficient of variation (CV)0.44159747
Kurtosis2.5003647
Mean4.4495413
Median Absolute Deviation (MAD)1
Skewness0.55796427
Sum485
Variance3.8608563
MonotonicityNot monotonic
2024-04-30T04:08:06.209850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 30
18.1%
5 21
 
12.7%
6 17
 
10.2%
2 11
 
6.6%
3 10
 
6.0%
7 9
 
5.4%
1 5
 
3.0%
8 2
 
1.2%
0 2
 
1.2%
13 1
 
0.6%
(Missing) 57
34.3%
ValueCountFrequency (%)
0 2
 
1.2%
1 5
 
3.0%
2 11
 
6.6%
3 10
 
6.0%
4 30
18.1%
5 21
12.7%
6 17
10.2%
7 9
 
5.4%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
13 1
 
0.6%
9 1
 
0.6%
8 2
 
1.2%
7 9
 
5.4%
6 17
10.2%
5 21
12.7%
4 30
18.1%
3 10
 
6.0%
2 11
 
6.6%
1 5
 
3.0%

주변환경명
Categorical

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
92 
기타
38 
주택가주변
24 
아파트지역
 
5
유흥업소밀집지역
 
5

Length

Max length8
Median length4
Mean length3.8855422
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
55.4%
기타 38
22.9%
주택가주변 24
 
14.5%
아파트지역 5
 
3.0%
유흥업소밀집지역 5
 
3.0%
학교정화(상대) 2
 
1.2%

Length

2024-04-30T04:08:06.333547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:06.453747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
55.4%
기타 38
22.9%
주택가주변 24
 
14.5%
아파트지역 5
 
3.0%
유흥업소밀집지역 5
 
3.0%
학교정화(상대 2
 
1.2%

제작취급품목내용
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing158
Missing (%)95.2%
Memory size1.4 KiB
2024-04-30T04:08:06.580779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10.5
Mean length6.5
Min length3

Characters and Unicode

Total characters52
Distinct characters24
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowPC 79대
2nd rowPC 75대
3rd rowPC 15대
4th rowPC60대,콘솔게임모니터3대
5th row인터넷게임
ValueCountFrequency (%)
pc 4
33.3%
79대 1
 
8.3%
75대 1
 
8.3%
15대 1
 
8.3%
pc60대,콘솔게임모니터3대 1
 
8.3%
인터넷게임 1
 
8.3%
인터넷컴퓨터 1
 
8.3%
7대 1
 
8.3%
한게임 1
 
8.3%
2024-04-30T04:08:06.813409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 6
 
11.5%
P 5
 
9.6%
C 5
 
9.6%
4
 
7.7%
터 4
 
7.7%
7 3
 
5.8%
게 3
 
5.8%
임 3
 
5.8%
5 2
 
3.8%
넷 2
 
3.8%
Other values (14) 15
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
51.9%
Uppercase Letter 10
 
19.2%
Decimal Number 10
 
19.2%
Space Separator 4
 
7.7%
Other Punctuation 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 6
22.2%
터 4
14.8%
게 3
11.1%
임 3
11.1%
넷 2
 
7.4%
인 2
 
7.4%
니 1
 
3.7%
퓨 1
 
3.7%
컴 1
 
3.7%
솔 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
7 3
30.0%
5 2
20.0%
3 1
 
10.0%
0 1
 
10.0%
6 1
 
10.0%
1 1
 
10.0%
9 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
P 5
50.0%
C 5
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
51.9%
Common 15
28.8%
Latin 10
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 6
22.2%
터 4
14.8%
게 3
11.1%
임 3
11.1%
넷 2
 
7.4%
인 2
 
7.4%
니 1
 
3.7%
퓨 1
 
3.7%
컴 1
 
3.7%
솔 1
 
3.7%
Other values (3) 3
11.1%
Common
ValueCountFrequency (%)
4
26.7%
7 3
20.0%
5 2
13.3%
3 1
 
6.7%
, 1
 
6.7%
0 1
 
6.7%
6 1
 
6.7%
1 1
 
6.7%
9 1
 
6.7%
Latin
ValueCountFrequency (%)
P 5
50.0%
C 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
51.9%
ASCII 25
48.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 6
22.2%
터 4
14.8%
게 3
11.1%
임 3
11.1%
넷 2
 
7.4%
인 2
 
7.4%
니 1
 
3.7%
퓨 1
 
3.7%
컴 1
 
3.7%
솔 1
 
3.7%
Other values (3) 3
11.1%
ASCII
ValueCountFrequency (%)
P 5
20.0%
C 5
20.0%
4
16.0%
7 3
12.0%
5 2
 
8.0%
3 1
 
4.0%
, 1
 
4.0%
0 1
 
4.0%
6 1
 
4.0%
1 1
 
4.0%

시설면적
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)91.8%
Missing7
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean139.37925
Minimum18.85
Maximum423.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:06.936575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.85
5-th percentile30.739
Q186.025
median132
Q3189
95-th percentile293.846
Maximum423.71
Range404.86
Interquartile range (IQR)102.975

Descriptive statistics

Standard deviation75.016984
Coefficient of variation (CV)0.53822206
Kurtosis0.79180434
Mean139.37925
Median Absolute Deviation (MAD)52.2
Skewness0.79738819
Sum22161.3
Variance5627.5479
MonotonicityNot monotonic
2024-04-30T04:08:07.069279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.67 3
 
1.8%
217.03 3
 
1.8%
22.25 2
 
1.2%
200.3 2
 
1.2%
70.12 2
 
1.2%
125.09 2
 
1.2%
78.96 2
 
1.2%
149.39 2
 
1.2%
26.45 2
 
1.2%
48.26 2
 
1.2%
Other values (136) 137
82.5%
(Missing) 7
 
4.2%
ValueCountFrequency (%)
18.85 1
 
0.6%
18.87 1
 
0.6%
22.25 2
1.2%
26.26 1
 
0.6%
26.45 2
1.2%
28.3 1
 
0.6%
31.01 1
 
0.6%
35.82 1
 
0.6%
39.67 3
1.8%
45.2 1
 
0.6%
ValueCountFrequency (%)
423.71 1
0.6%
334.89 1
0.6%
329.36 1
0.6%
303.16 1
0.6%
298.94 1
0.6%
297.3 1
0.6%
297.12 1
0.6%
296.06 1
0.6%
293.6 1
0.6%
284.39 1
0.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)7.7%
Missing49
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean3.1196581
Minimum0
Maximum12
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:07.173516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6976779
Coefficient of variation (CV)0.54418716
Kurtosis5.5146482
Mean3.1196581
Median Absolute Deviation (MAD)1
Skewness1.4981628
Sum365
Variance2.8821102
MonotonicityNot monotonic
2024-04-30T04:08:07.267384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 35
21.1%
2 28
16.9%
4 17
 
10.2%
1 14
 
8.4%
5 13
 
7.8%
6 4
 
2.4%
7 3
 
1.8%
0 2
 
1.2%
12 1
 
0.6%
(Missing) 49
29.5%
ValueCountFrequency (%)
0 2
 
1.2%
1 14
 
8.4%
2 28
16.9%
3 35
21.1%
4 17
10.2%
5 13
 
7.8%
6 4
 
2.4%
7 3
 
1.8%
12 1
 
0.6%
ValueCountFrequency (%)
12 1
 
0.6%
7 3
 
1.8%
6 4
 
2.4%
5 13
 
7.8%
4 17
10.2%
3 35
21.1%
2 28
16.9%
1 14
 
8.4%
0 2
 
1.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)6.7%
Missing77
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean1.2134831
Minimum0
Maximum5
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:07.371629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2.6
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87219564
Coefficient of variation (CV)0.71875381
Kurtosis11.574901
Mean1.2134831
Median Absolute Deviation (MAD)0
Skewness3.2458457
Sum108
Variance0.76072523
MonotonicityNot monotonic
2024-04-30T04:08:07.479663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 74
44.6%
2 6
 
3.6%
0 4
 
2.4%
5 3
 
1.8%
3 1
 
0.6%
4 1
 
0.6%
(Missing) 77
46.4%
ValueCountFrequency (%)
0 4
 
2.4%
1 74
44.6%
2 6
 
3.6%
3 1
 
0.6%
4 1
 
0.6%
5 3
 
1.8%
ValueCountFrequency (%)
5 3
 
1.8%
4 1
 
0.6%
3 1
 
0.6%
2 6
 
3.6%
1 74
44.6%
0 4
 
2.4%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
근린생활시설
110 
<NA>
49 
문화시설
 
2
사무실
 
2
아파트
 
1
Other values (2)
 
2

Length

Max length6
Median length6
Mean length5.3012048
Min length2

Unique

Unique3 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 110
66.3%
<NA> 49
29.5%
문화시설 2
 
1.2%
사무실 2
 
1.2%
아파트 1
 
0.6%
다세대주택 1
 
0.6%
기타 1
 
0.6%

Length

2024-04-30T04:08:07.600461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:07.719781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 110
66.3%
na 49
29.5%
문화시설 2
 
1.2%
사무실 2
 
1.2%
아파트 1
 
0.6%
다세대주택 1
 
0.6%
기타 1
 
0.6%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
162 
0
 
4

Length

Max length4
Median length4
Mean length3.9277108
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> 162
97.6%
0 4
 
2.4%

Length

2024-04-30T04:08:07.843436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:07.953966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
97.6%
0 4
 
2.4%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)61.5%
Missing153
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean83.030769
Minimum0
Maximum300
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:08.022313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q380
95-th percentile295.2
Maximum300
Range300
Interquartile range (IQR)80

Descriptive statistics

Standard deviation102.13885
Coefficient of variation (CV)1.2301326
Kurtosis1.5518381
Mean83.030769
Median Absolute Deviation (MAD)45
Skewness1.562361
Sum1079.4
Variance10432.346
MonotonicityNot monotonic
2024-04-30T04:08:08.101849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 4
 
2.4%
40.0 2
 
1.2%
80.0 2
 
1.2%
45.0 1
 
0.6%
300.0 1
 
0.6%
78.4 1
 
0.6%
292.0 1
 
0.6%
124.0 1
 
0.6%
(Missing) 153
92.2%
ValueCountFrequency (%)
0.0 4
2.4%
40.0 2
1.2%
45.0 1
 
0.6%
78.4 1
 
0.6%
80.0 2
1.2%
124.0 1
 
0.6%
292.0 1
 
0.6%
300.0 1
 
0.6%
ValueCountFrequency (%)
300.0 1
 
0.6%
292.0 1
 
0.6%
124.0 1
 
0.6%
80.0 2
1.2%
78.4 1
 
0.6%
45.0 1
 
0.6%
40.0 2
1.2%
0.0 4
2.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
162 
0
 
4

Length

Max length4
Median length4
Mean length3.9277108
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> 162
97.6%
0 4
 
2.4%

Length

2024-04-30T04:08:08.210177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:08.311463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
97.6%
0 4
 
2.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
162 
0
 
4

Length

Max length4
Median length4
Mean length3.9277108
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> 162
97.6%
0 4
 
2.4%

Length

2024-04-30T04:08:08.412233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:08.503930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
97.6%
0 4
 
2.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)64.6%
Missing118
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean51.6875
Minimum0
Maximum179
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T04:08:08.601344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.35
Q17
median48.5
Q380.5
95-th percentile144.65
Maximum179
Range179
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation46.542662
Coefficient of variation (CV)0.90046263
Kurtosis0.071501021
Mean51.6875
Median Absolute Deviation (MAD)38.5
Skewness0.86858326
Sum2481
Variance2166.2194
MonotonicityNot monotonic
2024-04-30T04:08:08.713413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 8
 
4.8%
82 4
 
2.4%
50 3
 
1.8%
10 3
 
1.8%
0 2
 
1.2%
79 2
 
1.2%
6 2
 
1.2%
179 1
 
0.6%
47 1
 
0.6%
90 1
 
0.6%
Other values (21) 21
 
12.7%
(Missing) 118
71.1%
ValueCountFrequency (%)
0 2
 
1.2%
5 1
 
0.6%
6 2
 
1.2%
7 8
4.8%
9 1
 
0.6%
10 3
 
1.8%
19 1
 
0.6%
20 1
 
0.6%
27 1
 
0.6%
30 1
 
0.6%
ValueCountFrequency (%)
179 1
 
0.6%
150 1
 
0.6%
145 1
 
0.6%
144 1
 
0.6%
120 1
 
0.6%
117 1
 
0.6%
105 1
 
0.6%
90 1
 
0.6%
82 4
2.4%
80 1
 
0.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
120 
전체이용가
45 
청소년이용불가
 
1

Length

Max length7
Median length4
Mean length4.2891566
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 120
72.3%
전체이용가 45
 
27.1%
청소년이용불가 1
 
0.6%

Length

2024-04-30T04:08:08.827142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:08.933063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
72.3%
전체이용가 45
 
27.1%
청소년이용불가 1
 
0.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Categorical

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반주거지역
74 
<NA>
67 
준주거지역
10 
일반상업지역
 
7
근린상업지역
 
3
Other values (3)
 
5

Length

Max length6
Median length6
Mean length5.0722892
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row관리지역
2nd row일반주거지역
3rd row일반주거지역
4th row일반주거지역
5th row일반주거지역

Common Values

ValueCountFrequency (%)
일반주거지역 74
44.6%
<NA> 67
40.4%
준주거지역 10
 
6.0%
일반상업지역 7
 
4.2%
근린상업지역 3
 
1.8%
상업지역 2
 
1.2%
주거지역 2
 
1.2%
관리지역 1
 
0.6%

Length

2024-04-30T04:08:09.039320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:08:09.152215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반주거지역 74
44.6%
na 67
40.4%
준주거지역 10
 
6.0%
일반상업지역 7
 
4.2%
근린상업지역 3
 
1.8%
상업지역 2
 
1.2%
주거지역 2
 
1.2%
관리지역 1
 
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF224102200700000120070615<NA>3폐업3폐업20141216<NA><NA><NA>711-3317<NA><NA>서울특별시 용산구 동자동 43-59번지서울특별시 용산구 한강대로 385 (동자동)<NA>타운pc방2014-12-16 09:37:00I2018-08-31 23:59:59.0<NA>197478.685654450063.434682인터넷컴퓨터게임시설제공업유통관련업6기타<NA>145.051근린생활시설<NA>40.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA><NA><NA><NA><NA>관리지역
13020000CDFF224102200700000220070626<NA>3폐업3폐업20160629<NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 243-2번지서울특별시 용산구 보광로 63 (보광동, 새방샘터빌딩)4392테라스 PC CAFE2016-06-29 14:44:29I2018-08-31 23:59:59.0<NA>199723.87613447438.229633인터넷컴퓨터게임시설제공업유통관련업7기타<NA>145.0261근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
23020000CDFF224102200700000320070710<NA>4취소/말소/만료/정지/중지35직권말소20140603<NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 260-3번지서울특별시 용산구 보광로24길 12 (보광동)<NA>블루스카이2014-06-12 09:06:50I2018-08-31 23:59:59.0<NA>199908.377256447351.598865인터넷컴퓨터게임시설제공업유통관련업6주택가주변<NA>97.9251근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33020000CDFF224102200700000420070711<NA>3폐업3폐업20080122<NA><NA><NA><NA><NA>140832서울특별시 용산구 용문동 6-9번지서울특별시 용산구 효창원로 111 (용문동)<NA>곰지pc방2008-01-22 14:18:26I2018-08-31 23:59:59.0<NA>196447.872272448438.788673인터넷컴퓨터게임시설제공업유통관련업8주택가주변<NA>119.8571근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
43020000CDFF224102200700000520070917<NA>4취소/말소/만료/정지/중지35직권말소20121008<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 757-20번지서울특별시 용산구 우사단로10길 79-1 (한남동)<NA>boss pc방2012-10-08 10:08:58I2018-08-31 23:59:59.0<NA>199910.813401447771.114075인터넷컴퓨터게임시설제공업유통관련업3주택가주변<NA>60.0321근린생활시설<NA>45.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA><NA><NA><NA><NA>일반주거지역
53020000CDFF224102200700000620070919<NA>3폐업3폐업20110810<NA><NA><NA><NA><NA>140855서울특별시 용산구 이촌동 197-5번지서울특별시 용산구 이촌로 100-4 (이촌동)<NA>아지트2011-08-10 16:58:07I2018-08-31 23:59:59.0<NA>196292.452134446839.941677인터넷컴퓨터게임시설제공업유통관련업2아파트지역<NA>142.482<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63020000CDFF224102200700000720071001<NA>3폐업3폐업20230106<NA><NA><NA>02-3273-7696<NA><NA>서울특별시 용산구 원효로2가 81-10서울특별시 용산구 새창로 131-5 (원효로2가)4364컴링크pc방2023-01-06 11:19:03U2022-12-01 00:08:00.0<NA>196551.378564448200.326469<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF224102200700000820071001<NA>4취소/말소/만료/정지/중지35직권말소20121008<NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 17-1번지서울특별시 용산구 신흥로 87 (용산동2가)<NA>아이비스2012-10-08 10:11:44I2018-08-31 23:59:59.0<NA>198657.358638449262.990532인터넷컴퓨터게임시설제공업유통관련업4기타<NA>67.7731근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
83020000CDFF224102200700000920071002<NA>4취소/말소/만료/정지/중지35직권말소20121008<NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동2가 53-0번지서울특별시 용산구 청파로47길 90 (청파동2가)<NA>락 스페이스2012-10-08 10:12:55I2018-08-31 23:59:59.0<NA>196874.457629449227.875133인터넷컴퓨터게임시설제공업유통관련업6기타<NA>137.52<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
93020000CDFF224102200700001020071004<NA>3폐업3폐업20191105<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 647번지서울특별시 용산구 회나무로 7 (이태원동, 화신치과의원)4343지존pc방2019-11-05 10:19:40U2019-11-07 02:40:00.0<NA>198842.616121448493.993525인터넷컴퓨터게임시설제공업유통관련업4아파트지역<NA>116.631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1563020000CDFF22410220170000022017-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동2가 71-88서울특별시 용산구 청파로47길 52, 지층 102호 (청파동2가, 명신프라자)4309놀숲PC2024-02-29 09:30:47U2023-12-03 00:02:00.0<NA>197063.84331449196.025596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573020000CDFF224102201700000320170504<NA>3폐업3폐업20170927<NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 115-4번지서울특별시 용산구 후암로35길 38, 102호 (후암동)4333후암PC2017-09-27 15:37:00I2018-08-31 23:59:59.0<NA>197801.12922449722.023318인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>31.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA>전체이용가<NA><NA><NA><NA>
1583020000CDFF224102201700000420170622<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동2가 60-1번지서울특별시 용산구 청파로47나길 13, 지하1층 (청파동2가)4310피씨나인2019-11-25 16:56:04U2019-11-27 02:40:00.0<NA>196998.349929449258.487064인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>217.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>65<NA>전체이용가<NA><NA><NA><NA>
1593020000CDFF224102201800000120180330<NA>3폐업3폐업20211001<NA><NA><NA><NA><NA><NA>서울특별시 용산구 용문동 25-36서울특별시 용산구 새창로 122-2, 1층 (용문동)4363신게임 PC2021-10-01 15:27:45U2021-10-03 02:40:00.0<NA>196459.67419448255.165738인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>35.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA>
1603020000CDFF22410220180000022018-04-26<NA>4취소/말소/만료/정지/중지35직권말소2023-11-13<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 657-159서울특별시 용산구 대사관로 65, 지하1층 (한남동)4401인디고PC방 한남점2023-11-13 14:30:10U2022-10-31 23:05:00.0<NA>200412.822073447915.442066<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613020000CDFF224102201900000120190819<NA>3폐업3폐업20200506<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 85-4번지서울특별시 용산구 새창로 131-10, 2층 (원효로2가)4364한게임PC2020-05-06 13:31:17U2020-05-08 02:40:00.0<NA>196564.056788448172.525188인터넷컴퓨터게임시설제공업유통관련업2<NA>한게임65.982<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA>일반상업지역
1623020000CDFF224102201900000220191210<NA>4취소/말소/만료/정지/중지35직권말소20210406<NA><NA><NA><NA><NA><NA>서울특별시 용산구 서계동 236-45서울특별시 용산구 청파로89길 66-1, 1층 (서계동)4300동우회PC2021-04-21 16:39:57U2021-04-23 02:40:00.0<NA>196881.13481450149.461275인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>26.45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>전체이용가<NA><NA><NA><NA>
1633020000CDFF224102202000000120200123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 127-12번지 스카이하이서울특별시 용산구 이태원로 180, 스카이하이 지하1층 (이태원동)4406아이뎁스PC2020-01-23 11:31:49I2020-01-25 00:23:24.0<NA>199418.872281448001.848058인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>329.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>117<NA>전체이용가<NA><NA><NA>일반상업지역
1643020000CDFF224102202000000220200807<NA>1영업/정상13영업중<NA><NA><NA><NA>02-7728-1244<NA><NA>서울특별시 용산구 이태원동 646 기업은행서울특별시 용산구 녹사평대로 240, 1층 (이태원동)4343리얼PC방2022-06-10 13:24:19U2021-12-05 23:02:00.0<NA>198840.994802448516.598452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653020000CDFF22410220220000012022-07-01<NA>3폐업3폐업2023-11-09<NA><NA><NA><NA><NA><NA>서울특별시 용산구 보광동 231-43서울특별시 용산구 보광로 45 (보광동)4394춘자PC2023-11-09 16:13:32U2022-10-31 23:01:00.0<NA>199836.893342447317.826068<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>