Overview

Dataset statistics

Number of variables56
Number of observations1141
Missing cells32351
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory540.5 KiB
Average record size in memory485.1 B

Variable types

Categorical14
Text6
DateTime4
Numeric12
Unsupported20

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-16812/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.3%)Imbalance
영업상태명 is highly imbalanced (57.3%)Imbalance
상세영업상태명 is highly imbalanced (71.9%)Imbalance
데이터갱신구분 is highly imbalanced (69.5%)Imbalance
문화체육업종명 is highly imbalanced (66.0%)Imbalance
문화사업자구분명 is highly imbalanced (85.8%)Imbalance
주변환경명 is highly imbalanced (75.0%)Imbalance
건물용도명 is highly imbalanced (73.9%)Imbalance
통로너비 is highly imbalanced (98.1%)Imbalance
노래방실수 is highly imbalanced (98.1%)Imbalance
청소년실수 is highly imbalanced (98.1%)Imbalance
제공게임물명 is highly imbalanced (77.1%)Imbalance
지역구분명 is highly imbalanced (69.7%)Imbalance
인허가취소일자 has 1133 (99.3%) missing valuesMissing
폐업일자 has 68 (6.0%) missing valuesMissing
휴업시작일자 has 1141 (100.0%) missing valuesMissing
휴업종료일자 has 1141 (100.0%) missing valuesMissing
재개업일자 has 1141 (100.0%) missing valuesMissing
전화번호 has 1078 (94.5%) missing valuesMissing
소재지면적 has 1141 (100.0%) missing valuesMissing
소재지우편번호 has 126 (11.0%) missing valuesMissing
도로명주소 has 56 (4.9%) missing valuesMissing
도로명우편번호 has 1042 (91.3%) missing valuesMissing
업태구분명 has 1141 (100.0%) missing valuesMissing
좌표정보(X) has 20 (1.8%) missing valuesMissing
좌표정보(Y) has 20 (1.8%) missing valuesMissing
총층수 has 703 (61.6%) missing valuesMissing
제작취급품목내용 has 1060 (92.9%) missing valuesMissing
시설면적 has 505 (44.3%) missing valuesMissing
지상층수 has 725 (63.5%) missing valuesMissing
지하층수 has 808 (70.8%) missing valuesMissing
조명시설조도 has 1107 (97.0%) missing valuesMissing
비상계단여부 has 1141 (100.0%) missing valuesMissing
비상구여부 has 1141 (100.0%) missing valuesMissing
자동환기여부 has 1141 (100.0%) missing valuesMissing
청소년실여부 has 1141 (100.0%) missing valuesMissing
특수조명여부 has 1141 (100.0%) missing valuesMissing
방음시설여부 has 1141 (100.0%) missing valuesMissing
비디오재생기명 has 1141 (100.0%) missing valuesMissing
조명시설유무 has 1141 (100.0%) missing valuesMissing
음향시설여부 has 1141 (100.0%) missing valuesMissing
편의시설여부 has 1141 (100.0%) missing valuesMissing
소방시설여부 has 1141 (100.0%) missing valuesMissing
총게임기수 has 1080 (94.7%) missing valuesMissing
기존게임업외업종명 has 1141 (100.0%) missing valuesMissing
공연장형태구분명 has 1141 (100.0%) missing valuesMissing
품목명 has 1141 (100.0%) missing valuesMissing
최초등록시점 has 1141 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -22.8432646)Skewed
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 192 (16.8%) zerosZeros
시설면적 has 338 (29.6%) zerosZeros
지상층수 has 198 (17.4%) zerosZeros
지하층수 has 200 (17.5%) zerosZeros

Reproduction

Analysis started2024-05-11 05:32:28.968119
Analysis finished2024-05-11 05:32:30.602091
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
3200000
1141 

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 1141
100.0%

Length

2024-05-11T14:32:30.713956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:30.882487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 1141
100.0%

관리번호
Text

UNIQUE 

Distinct1141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-05-11T14:32:31.203696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22820
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

Unique1141 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000002
3rd rowCDFF2241011985000003
4th rowCDFF2241011985000004
5th rowCDFF2241011985000005
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.1%
cdff2241012001000297 1
 
0.1%
cdff2241012001000292 1
 
0.1%
cdff2241012001000290 1
 
0.1%
cdff2241012001000289 1
 
0.1%
cdff2241012001000288 1
 
0.1%
cdff2241012001000287 1
 
0.1%
cdff2241012001000286 1
 
0.1%
cdff2241012001000284 1
 
0.1%
cdff2241012001000276 1
 
0.1%
Other values (1131) 1131
99.1%
2024-05-11T14:32:31.880298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7153
31.3%
2 3600
15.8%
1 3520
15.4%
F 2282
 
10.0%
4 1424
 
6.2%
9 1172
 
5.1%
C 1141
 
5.0%
D 1141
 
5.0%
3 477
 
2.1%
5 270
 
1.2%
Other values (3) 640
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18256
80.0%
Uppercase Letter 4564
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7153
39.2%
2 3600
19.7%
1 3520
19.3%
4 1424
 
7.8%
9 1172
 
6.4%
3 477
 
2.6%
5 270
 
1.5%
6 233
 
1.3%
8 212
 
1.2%
7 195
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 2282
50.0%
C 1141
25.0%
D 1141
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18256
80.0%
Latin 4564
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7153
39.2%
2 3600
19.7%
1 3520
19.3%
4 1424
 
7.8%
9 1172
 
6.4%
3 477
 
2.6%
5 270
 
1.5%
6 233
 
1.3%
8 212
 
1.2%
7 195
 
1.1%
Latin
ValueCountFrequency (%)
F 2282
50.0%
C 1141
25.0%
D 1141
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7153
31.3%
2 3600
15.8%
1 3520
15.4%
F 2282
 
10.0%
4 1424
 
6.2%
9 1172
 
5.1%
C 1141
 
5.0%
D 1141
 
5.0%
3 477
 
2.1%
5 270
 
1.2%
Other values (3) 640
 
2.8%

인허가일자
Date

Distinct654
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum1985-04-02 00:00:00
Maximum2023-07-13 00:00:00
2024-05-11T14:32:32.167437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:32.427044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing1133
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20148025
Minimum20110321
Maximum20210702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:32.644260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110321
5-th percentile20110421
Q120110753
median20125218
Q320188341
95-th percentile20210565
Maximum20210702
Range100381
Interquartile range (IQR)77588

Descriptive statistics

Standard deviation45033.058
Coefficient of variation (CV)0.0022351103
Kurtosis-1.709285
Mean20148025
Median Absolute Deviation (MAD)14754
Skewness0.7069597
Sum1.611842 × 108
Variance2.0279763 × 109
MonotonicityNot monotonic
2024-05-11T14:32:32.822904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20110321 1
 
0.1%
20110607 1
 
0.1%
20120130 1
 
0.1%
20110802 1
 
0.1%
20130306 1
 
0.1%
20210702 1
 
0.1%
20181018 1
 
0.1%
20210311 1
 
0.1%
(Missing) 1133
99.3%
ValueCountFrequency (%)
20110321 1
0.1%
20110607 1
0.1%
20110802 1
0.1%
20120130 1
0.1%
20130306 1
0.1%
20181018 1
0.1%
20210311 1
0.1%
20210702 1
0.1%
ValueCountFrequency (%)
20210702 1
0.1%
20210311 1
0.1%
20181018 1
0.1%
20130306 1
0.1%
20120130 1
0.1%
20110802 1
0.1%
20110607 1
0.1%
20110321 1
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
3
995 
4
 
86
1
 
60

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 995
87.2%
4 86
 
7.5%
1 60
 
5.3%

Length

2024-05-11T14:32:33.020847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:33.209743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 995
87.2%
4 86
 
7.5%
1 60
 
5.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
폐업
995 
취소/말소/만료/정지/중지
 
86
영업/정상
 
60

Length

Max length14
Median length2
Mean length3.0622261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 995
87.2%
취소/말소/만료/정지/중지 86
 
7.5%
영업/정상 60
 
5.3%

Length

2024-05-11T14:32:33.436655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:33.599963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 995
87.2%
취소/말소/만료/정지/중지 86
 
7.5%
영업/정상 60
 
5.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9333918
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:33.754471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q33
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5361429
Coefficient of variation (CV)1.4386616
Kurtosis6.8644964
Mean5.9333918
Median Absolute Deviation (MAD)0
Skewness2.8996171
Sum6770
Variance72.865735
MonotonicityNot monotonic
2024-05-11T14:32:33.927904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 994
87.1%
35 78
 
6.8%
13 60
 
5.3%
31 4
 
0.4%
30 4
 
0.4%
34 1
 
0.1%
ValueCountFrequency (%)
3 994
87.1%
13 60
 
5.3%
30 4
 
0.4%
31 4
 
0.4%
34 1
 
0.1%
35 78
 
6.8%
ValueCountFrequency (%)
35 78
 
6.8%
34 1
 
0.1%
31 4
 
0.4%
30 4
 
0.4%
13 60
 
5.3%
3 994
87.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
폐업
994 
직권말소
 
78
영업중
 
60
등록취소
 
4
허가취소
 
4

Length

Max length5
Median length2
Mean length2.2059597
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 994
87.1%
직권말소 78
 
6.8%
영업중 60
 
5.3%
등록취소 4
 
0.4%
허가취소 4
 
0.4%
영업장폐쇄 1
 
0.1%

Length

2024-05-11T14:32:34.168914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:34.467083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 994
87.1%
직권말소 78
 
6.8%
영업중 60
 
5.3%
등록취소 4
 
0.4%
허가취소 4
 
0.4%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct434
Distinct (%)40.4%
Missing68
Missing (%)6.0%
Memory size9.0 KiB
Minimum1999-05-01 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T14:32:34.714709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:34.963856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

전화번호
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing1078
Missing (%)94.5%
Memory size9.0 KiB
2024-05-11T14:32:35.339609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.3650794
Min length7

Characters and Unicode

Total characters527
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row88-8917
2nd row830-7039
3rd row887-0323
4th row853-7913
5th row874-7710
ValueCountFrequency (%)
867-3045 2
 
3.2%
839-6279 1
 
1.6%
02-888-7974 1
 
1.6%
871-7005 1
 
1.6%
888-7485 1
 
1.6%
884-9575 1
 
1.6%
871-6944 1
 
1.6%
830-2850 1
 
1.6%
888-5732 1
 
1.6%
858-9936 1
 
1.6%
Other values (52) 52
82.5%
2024-05-11T14:32:35.954022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 119
22.6%
- 68
12.9%
7 65
12.3%
3 46
 
8.7%
5 46
 
8.7%
0 39
 
7.4%
9 36
 
6.8%
4 33
 
6.3%
6 25
 
4.7%
1 25
 
4.7%
Other values (2) 25
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 458
86.9%
Dash Punctuation 68
 
12.9%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 119
26.0%
7 65
14.2%
3 46
 
10.0%
5 46
 
10.0%
0 39
 
8.5%
9 36
 
7.9%
4 33
 
7.2%
6 25
 
5.5%
1 25
 
5.5%
2 24
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 119
22.6%
- 68
12.9%
7 65
12.3%
3 46
 
8.7%
5 46
 
8.7%
0 39
 
7.4%
9 36
 
6.8%
4 33
 
6.3%
6 25
 
4.7%
1 25
 
4.7%
Other values (2) 25
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 119
22.6%
- 68
12.9%
7 65
12.3%
3 46
 
8.7%
5 46
 
8.7%
0 39
 
7.4%
9 36
 
6.8%
4 33
 
6.3%
6 25
 
4.7%
1 25
 
4.7%
Other values (2) 25
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct89
Distinct (%)8.8%
Missing126
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean151812.55
Minimum139738
Maximum151930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:36.194342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139738
5-th percentile151050
Q1151836
median151875
Q3151895
95-th percentile151930
Maximum151930
Range12192
Interquartile range (IQR)59

Descriptive statistics

Standard deviation425.98551
Coefficient of variation (CV)0.0028059967
Kurtosis638.01455
Mean151812.55
Median Absolute Deviation (MAD)25
Skewness-22.843265
Sum1.5408974 × 108
Variance181463.66
MonotonicityNot monotonic
2024-05-11T14:32:36.453009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151895 93
 
8.2%
151892 61
 
5.3%
151930 54
 
4.7%
151015 47
 
4.1%
151843 31
 
2.7%
151875 30
 
2.6%
151903 29
 
2.5%
151800 28
 
2.5%
151811 27
 
2.4%
151880 27
 
2.4%
Other values (79) 588
51.5%
(Missing) 126
 
11.0%
ValueCountFrequency (%)
139738 1
 
0.1%
151015 47
4.1%
151050 7
 
0.6%
151800 28
2.5%
151803 14
 
1.2%
151804 1
 
0.1%
151805 7
 
0.6%
151809 1
 
0.1%
151810 3
 
0.3%
151811 27
2.4%
ValueCountFrequency (%)
151930 54
4.7%
151928 2
 
0.2%
151927 4
 
0.4%
151913 18
 
1.6%
151909 1
 
0.1%
151906 4
 
0.4%
151904 12
 
1.1%
151903 29
2.5%
151902 14
 
1.2%
151901 2
 
0.2%

지번주소
Text

Distinct831
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-05-11T14:32:36.907665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length41
Mean length23.721297
Min length18

Characters and Unicode

Total characters27066
Distinct characters103
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

Unique616 ?
Unique (%)54.0%

Sample

1st row서울특별시 관악구 신림동 611-11번지 38
2nd row서울특별시 관악구 신림동 1569-10번지
3rd row서울특별시 관악구 신림동 1431-15번지
4th row서울특별시 관악구 봉천동 925-7번지
5th row서울특별시 관악구 신림동 1433-114번지
ValueCountFrequency (%)
서울특별시 1141
23.9%
관악구 1140
23.9%
신림동 796
16.7%
봉천동 315
 
6.6%
남현동 29
 
0.6%
지하1층 25
 
0.5%
2층 19
 
0.4%
3층 14
 
0.3%
1층 13
 
0.3%
지상 9
 
0.2%
Other values (839) 1269
26.6%
2024-05-11T14:32:37.558703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4730
17.5%
1 1367
 
5.1%
동 1154
 
4.3%
지 1148
 
4.2%
시 1144
 
4.2%
관 1144
 
4.2%
악 1144
 
4.2%
서 1141
 
4.2%
특 1141
 
4.2%
별 1141
 
4.2%
Other values (93) 11812
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15152
56.0%
Decimal Number 6035
 
22.3%
Space Separator 4730
 
17.5%
Dash Punctuation 1125
 
4.2%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1154
 
7.6%
지 1148
 
7.6%
시 1144
 
7.6%
관 1144
 
7.6%
악 1144
 
7.6%
서 1141
 
7.5%
특 1141
 
7.5%
별 1141
 
7.5%
구 1141
 
7.5%
울 1141
 
7.5%
Other values (76) 3713
24.5%
Decimal Number
ValueCountFrequency (%)
1 1367
22.7%
5 774
12.8%
2 712
11.8%
3 651
10.8%
6 618
10.2%
4 597
9.9%
8 351
 
5.8%
9 336
 
5.6%
0 315
 
5.2%
7 314
 
5.2%
Space Separator
ValueCountFrequency (%)
4730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15152
56.0%
Common 11910
44.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1154
 
7.6%
지 1148
 
7.6%
시 1144
 
7.6%
관 1144
 
7.6%
악 1144
 
7.6%
서 1141
 
7.5%
특 1141
 
7.5%
별 1141
 
7.5%
구 1141
 
7.5%
울 1141
 
7.5%
Other values (76) 3713
24.5%
Common
ValueCountFrequency (%)
4730
39.7%
1 1367
 
11.5%
- 1125
 
9.4%
5 774
 
6.5%
2 712
 
6.0%
3 651
 
5.5%
6 618
 
5.2%
4 597
 
5.0%
8 351
 
2.9%
9 336
 
2.8%
Other values (6) 649
 
5.4%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15152
56.0%
ASCII 11914
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4730
39.7%
1 1367
 
11.5%
- 1125
 
9.4%
5 774
 
6.5%
2 712
 
6.0%
3 651
 
5.5%
6 618
 
5.2%
4 597
 
5.0%
8 351
 
2.9%
9 336
 
2.8%
Other values (7) 653
 
5.5%
Hangul
ValueCountFrequency (%)
동 1154
 
7.6%
지 1148
 
7.6%
시 1144
 
7.6%
관 1144
 
7.6%
악 1144
 
7.6%
서 1141
 
7.5%
특 1141
 
7.5%
별 1141
 
7.5%
구 1141
 
7.5%
울 1141
 
7.5%
Other values (76) 3713
24.5%

도로명주소
Text

MISSING 

Distinct764
Distinct (%)70.4%
Missing56
Missing (%)4.9%
Memory size9.0 KiB
2024-05-11T14:32:38.107701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length26.028571
Min length22

Characters and Unicode

Total characters28241
Distinct characters137
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

Unique554 ?
Unique (%)51.1%

Sample

1st row서울특별시 관악구 남부순환로 1482 (신림동)
2nd row서울특별시 관악구 신림로 361 (신림동)
3rd row서울특별시 관악구 봉천로33길 7 (봉천동)
4th row서울특별시 관악구 남부순환로 1589 (신림동)
5th row서울특별시 관악구 은천로 25 (봉천동)
ValueCountFrequency (%)
서울특별시 1085
19.4%
관악구 1085
19.4%
신림동 725
 
13.0%
봉천동 285
 
5.1%
남부순환로 166
 
3.0%
신림로 97
 
1.7%
난곡로 86
 
1.5%
시흥대로 46
 
0.8%
관악로 44
 
0.8%
봉천로 43
 
0.8%
Other values (621) 1929
34.5%
2024-05-11T14:32:38.892944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5475
19.4%
관 1163
 
4.1%
악 1153
 
4.1%
시 1134
 
4.0%
동 1102
 
3.9%
서 1093
 
3.9%
) 1092
 
3.9%
( 1092
 
3.9%
특 1085
 
3.8%
별 1085
 
3.8%
Other values (127) 12767
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16520
58.5%
Space Separator 5475
 
19.4%
Decimal Number 3793
 
13.4%
Close Punctuation 1092
 
3.9%
Open Punctuation 1092
 
3.9%
Other Punctuation 168
 
0.6%
Dash Punctuation 96
 
0.3%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1163
 
7.0%
악 1153
 
7.0%
시 1134
 
6.9%
동 1102
 
6.7%
서 1093
 
6.6%
특 1085
 
6.6%
별 1085
 
6.6%
구 1085
 
6.6%
울 1085
 
6.6%
신 985
 
6.0%
Other values (110) 5550
33.6%
Decimal Number
ValueCountFrequency (%)
1 818
21.6%
2 568
15.0%
3 460
12.1%
6 393
10.4%
5 343
9.0%
4 318
 
8.4%
7 273
 
7.2%
9 224
 
5.9%
8 198
 
5.2%
0 198
 
5.2%
Space Separator
ValueCountFrequency (%)
5475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1092
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1092
100.0%
Other Punctuation
ValueCountFrequency (%)
, 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16520
58.5%
Common 11718
41.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1163
 
7.0%
악 1153
 
7.0%
시 1134
 
6.9%
동 1102
 
6.7%
서 1093
 
6.6%
특 1085
 
6.6%
별 1085
 
6.6%
구 1085
 
6.6%
울 1085
 
6.6%
신 985
 
6.0%
Other values (110) 5550
33.6%
Common
ValueCountFrequency (%)
5475
46.7%
) 1092
 
9.3%
( 1092
 
9.3%
1 818
 
7.0%
2 568
 
4.8%
3 460
 
3.9%
6 393
 
3.4%
5 343
 
2.9%
4 318
 
2.7%
7 273
 
2.3%
Other values (6) 886
 
7.6%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16520
58.5%
ASCII 11721
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5475
46.7%
) 1092
 
9.3%
( 1092
 
9.3%
1 818
 
7.0%
2 568
 
4.8%
3 460
 
3.9%
6 393
 
3.4%
5 343
 
2.9%
4 318
 
2.7%
7 273
 
2.3%
Other values (7) 889
 
7.6%
Hangul
ValueCountFrequency (%)
관 1163
 
7.0%
악 1153
 
7.0%
시 1134
 
6.9%
동 1102
 
6.7%
서 1093
 
6.6%
특 1085
 
6.6%
별 1085
 
6.6%
구 1085
 
6.6%
울 1085
 
6.6%
신 985
 
6.0%
Other values (110) 5550
33.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)25.3%
Missing1042
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean42008.222
Minimum8700
Maximum151930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:39.078905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8700
Q18754
median8761
Q38787
95-th percentile151902.1
Maximum151930
Range143230
Interquartile range (IQR)33

Descriptive statistics

Standard deviation60751.568
Coefficient of variation (CV)1.4461828
Kurtosis-0.35047187
Mean42008.222
Median Absolute Deviation (MAD)8
Skewness1.2872534
Sum4158814
Variance3.690753 × 109
MonotonicityNot monotonic
2024-05-11T14:32:39.289955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8761 23
 
2.0%
8754 12
 
1.1%
8753 8
 
0.7%
8769 7
 
0.6%
8700 6
 
0.5%
8787 6
 
0.5%
151890 4
 
0.4%
8745 3
 
0.3%
151876 3
 
0.3%
151930 3
 
0.3%
Other values (15) 24
 
2.1%
(Missing) 1042
91.3%
ValueCountFrequency (%)
8700 6
 
0.5%
8745 3
 
0.3%
8753 8
 
0.7%
8754 12
1.1%
8758 2
 
0.2%
8759 2
 
0.2%
8760 2
 
0.2%
8761 23
2.0%
8767 3
 
0.3%
8769 7
 
0.6%
ValueCountFrequency (%)
151930 3
0.3%
151903 2
0.2%
151902 1
 
0.1%
151894 1
 
0.1%
151892 2
0.2%
151891 1
 
0.1%
151890 4
0.4%
151876 3
0.3%
151875 2
0.2%
151869 1
 
0.1%

사업장명
Text

Distinct945
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-05-11T14:32:39.729397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length5.820333
Min length1

Characters and Unicode

Total characters6641
Distinct characters466
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique820 ?
Unique (%)71.9%

Sample

1st row컴퓨터게임랜드
2nd row우주게임월드
3rd row지구게임장
4th row명보
5th row88
ValueCountFrequency (%)
게임랜드 74
 
5.6%
게임장 18
 
1.4%
오락실 16
 
1.2%
pc방 13
 
1.0%
사이버리아pc방 12
 
0.9%
게임월드 9
 
0.7%
라스베가스 6
 
0.5%
스피드pc방 5
 
0.4%
행운 5
 
0.4%
스타게임랜드 5
 
0.4%
Other values (937) 1160
87.7%
2024-05-11T14:32:40.841668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 472
 
7.1%
게 470
 
7.1%
드 355
 
5.3%
랜 251
 
3.8%
C 198
 
3.0%
P 189
 
2.8%
스 183
 
2.8%
182
 
2.7%
방 174
 
2.6%
이 154
 
2.3%
Other values (456) 4013
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5564
83.8%
Uppercase Letter 711
 
10.7%
Space Separator 182
 
2.7%
Decimal Number 85
 
1.3%
Lowercase Letter 47
 
0.7%
Other Punctuation 22
 
0.3%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Dash Punctuation 9
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 472
 
8.5%
게 470
 
8.4%
드 355
 
6.4%
랜 251
 
4.5%
스 183
 
3.3%
방 174
 
3.1%
이 154
 
2.8%
장 136
 
2.4%
터 129
 
2.3%
인 119
 
2.1%
Other values (393) 3121
56.1%
Uppercase Letter
ValueCountFrequency (%)
C 198
27.8%
P 189
26.6%
E 44
 
6.2%
T 32
 
4.5%
N 31
 
4.4%
O 28
 
3.9%
A 23
 
3.2%
M 18
 
2.5%
S 18
 
2.5%
R 17
 
2.4%
Other values (16) 113
15.9%
Lowercase Letter
ValueCountFrequency (%)
i 8
17.0%
e 6
12.8%
r 4
8.5%
o 4
8.5%
f 3
 
6.4%
l 3
 
6.4%
n 3
 
6.4%
p 3
 
6.4%
a 2
 
4.3%
s 2
 
4.3%
Other values (7) 9
19.1%
Decimal Number
ValueCountFrequency (%)
2 37
43.5%
1 22
25.9%
5 6
 
7.1%
7 6
 
7.1%
8 5
 
5.9%
9 3
 
3.5%
6 2
 
2.4%
0 2
 
2.4%
4 1
 
1.2%
3 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 12
54.5%
, 4
 
18.2%
@ 2
 
9.1%
& 2
 
9.1%
' 2
 
9.1%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5564
83.8%
Latin 759
 
11.4%
Common 318
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 472
 
8.5%
게 470
 
8.4%
드 355
 
6.4%
랜 251
 
4.5%
스 183
 
3.3%
방 174
 
3.1%
이 154
 
2.8%
장 136
 
2.4%
터 129
 
2.3%
인 119
 
2.1%
Other values (393) 3121
56.1%
Latin
ValueCountFrequency (%)
C 198
26.1%
P 189
24.9%
E 44
 
5.8%
T 32
 
4.2%
N 31
 
4.1%
O 28
 
3.7%
A 23
 
3.0%
M 18
 
2.4%
S 18
 
2.4%
R 17
 
2.2%
Other values (34) 161
21.2%
Common
ValueCountFrequency (%)
182
57.2%
2 37
 
11.6%
1 22
 
6.9%
. 12
 
3.8%
) 10
 
3.1%
( 10
 
3.1%
- 9
 
2.8%
5 6
 
1.9%
7 6
 
1.9%
8 5
 
1.6%
Other values (9) 19
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5563
83.8%
ASCII 1076
 
16.2%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 472
 
8.5%
게 470
 
8.4%
드 355
 
6.4%
랜 251
 
4.5%
스 183
 
3.3%
방 174
 
3.1%
이 154
 
2.8%
장 136
 
2.4%
터 129
 
2.3%
인 119
 
2.1%
Other values (392) 3120
56.1%
ASCII
ValueCountFrequency (%)
C 198
18.4%
P 189
17.6%
182
16.9%
E 44
 
4.1%
2 37
 
3.4%
T 32
 
3.0%
N 31
 
2.9%
O 28
 
2.6%
A 23
 
2.1%
1 22
 
2.0%
Other values (52) 290
27.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct810
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2003-02-06 10:46:07
Maximum2024-02-29 15:55:06
2024-05-11T14:32:41.060668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:41.251215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
I
1079 
U
 
62

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 1079
94.6%
U 62
 
5.4%

Length

2024-05-11T14:32:41.479276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:41.645639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1079
94.6%
u 62
 
5.4%

데이터갱신일자
Date

Distinct56
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:02:00
2024-05-11T14:32:41.825644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:42.075259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct699
Distinct (%)62.4%
Missing20
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean193990.55
Minimum191165.37
Maximum198287.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:42.306484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191165.37
5-th percentile191399.22
Q1192806.14
median193819.21
Q3194596.9
95-th percentile196742.9
Maximum198287.46
Range7122.0865
Interquartile range (IQR)1790.7628

Descriptive statistics

Standard deviation1501.8662
Coefficient of variation (CV)0.0077419554
Kurtosis0.23445666
Mean193990.55
Median Absolute Deviation (MAD)960.14296
Skewness0.46761627
Sum2.1746341 × 108
Variance2255602.1
MonotonicityNot monotonic
2024-05-11T14:32:42.550986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192393.663310822 8
 
0.7%
195845.670440251 8
 
0.7%
193696.427549642 7
 
0.6%
192381.753588978 7
 
0.6%
193781.808184153 6
 
0.5%
193715.720946633 6
 
0.5%
195588.796492288 6
 
0.5%
194282.675888713 6
 
0.5%
192752.300815808 5
 
0.4%
194408.140904527 5
 
0.4%
Other values (689) 1057
92.6%
(Missing) 20
 
1.8%
ValueCountFrequency (%)
191165.373917075 1
 
0.1%
191182.000480527 1
 
0.1%
191191.448323925 1
 
0.1%
191196.893533157 2
 
0.2%
191204.884621244 4
0.4%
191210.078732513 1
 
0.1%
191223.827173065 1
 
0.1%
191224.178786196 1
 
0.1%
191244.186952943 5
0.4%
191259.60234678 1
 
0.1%
ValueCountFrequency (%)
198287.460384612 1
 
0.1%
198284.487350496 1
 
0.1%
198284.078546351 2
0.2%
198282.196473514 2
0.2%
198280.308333613 2
0.2%
198278.931088754 2
0.2%
198278.438025281 3
0.3%
198274.871752809 1
 
0.1%
198260.085928707 1
 
0.1%
198248.942426333 2
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct699
Distinct (%)62.4%
Missing20
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean441920.74
Minimum440287.78
Maximum443351.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:42.816615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440287.78
5-th percentile440692.06
Q1441361.29
median442192.22
Q3442450.9
95-th percentile442773.07
Maximum443351.47
Range3063.6931
Interquartile range (IQR)1089.6099

Descriptive statistics

Standard deviation716.32447
Coefficient of variation (CV)0.0016209343
Kurtosis-0.83694568
Mean441920.74
Median Absolute Deviation (MAD)397.19989
Skewness-0.59501754
Sum4.9539315 × 108
Variance513120.74
MonotonicityNot monotonic
2024-05-11T14:32:43.064585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442281.964358668 8
 
0.7%
442397.600123306 8
 
0.7%
442721.31539019 7
 
0.6%
442321.90025098 7
 
0.6%
442506.715285419 6
 
0.5%
442661.600592493 6
 
0.5%
442098.372819317 6
 
0.5%
440707.623024621 6
 
0.5%
441173.69301173 5
 
0.4%
440775.182351578 5
 
0.4%
Other values (689) 1057
92.6%
(Missing) 20
 
1.8%
ValueCountFrequency (%)
440287.776281938 1
 
0.1%
440299.376149385 1
 
0.1%
440317.168618377 3
0.3%
440332.15446073 3
0.3%
440336.143101926 2
0.2%
440356.258778085 1
 
0.1%
440380.585173363 1
 
0.1%
440386.551276542 1
 
0.1%
440408.362416371 1
 
0.1%
440417.371228047 1
 
0.1%
ValueCountFrequency (%)
443351.469377418 1
0.1%
443341.379446435 1
0.1%
443280.395116602 1
0.1%
443241.362831726 2
0.2%
443231.666283907 1
0.1%
443221.321009043 1
0.1%
443216.006975605 2
0.2%
443199.528183519 1
0.1%
443177.032539307 1
0.1%
443148.457599273 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
게임제공업
1028 
일반게임제공업
 
90
<NA>
 
23

Length

Max length7
Median length5
Mean length5.1375986
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 1028
90.1%
일반게임제공업 90
 
7.9%
<NA> 23
 
2.0%

Length

2024-05-11T14:32:43.305672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:43.483914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 1028
90.1%
일반게임제공업 90
 
7.9%
na 23
 
2.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
유통관련업
1118 
<NA>
 
23

Length

Max length5
Median length5
Mean length4.9798422
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 1118
98.0%
<NA> 23
 
2.0%

Length

2024-05-11T14:32:43.691533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:43.878410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1118
98.0%
na 23
 
2.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)3.9%
Missing703
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean2.9018265
Minimum0
Maximum24
Zeros192
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:44.037094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile8
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5562748
Coefficient of variation (CV)1.2255298
Kurtosis7.5280917
Mean2.9018265
Median Absolute Deviation (MAD)3
Skewness2.1406171
Sum1271
Variance12.64709
MonotonicityNot monotonic
2024-05-11T14:32:44.232899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 192
 
16.8%
4 61
 
5.3%
3 48
 
4.2%
5 42
 
3.7%
6 31
 
2.7%
2 21
 
1.8%
7 18
 
1.6%
8 8
 
0.7%
20 4
 
0.4%
15 3
 
0.3%
Other values (7) 10
 
0.9%
(Missing) 703
61.6%
ValueCountFrequency (%)
0 192
16.8%
2 21
 
1.8%
3 48
 
4.2%
4 61
 
5.3%
5 42
 
3.7%
6 31
 
2.7%
7 18
 
1.6%
8 8
 
0.7%
9 1
 
0.1%
10 3
 
0.3%
ValueCountFrequency (%)
24 1
 
0.1%
20 4
0.4%
18 1
 
0.1%
15 3
 
0.3%
14 1
 
0.1%
13 1
 
0.1%
11 2
 
0.2%
10 3
 
0.3%
9 1
 
0.1%
8 8
0.7%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1020 
유흥업소밀집지역
 
55
기타
 
51
주택가주변
 
13
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length4.1191937
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1020
89.4%
유흥업소밀집지역 55
 
4.8%
기타 51
 
4.5%
주택가주변 13
 
1.1%
학교정화(상대) 1
 
0.1%
아파트지역 1
 
0.1%

Length

2024-05-11T14:32:44.461009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:44.630802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1020
89.4%
유흥업소밀집지역 55
 
4.8%
기타 51
 
4.5%
주택가주변 13
 
1.1%
학교정화(상대 1
 
0.1%
아파트지역 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct77
Distinct (%)95.1%
Missing1060
Missing (%)92.9%
Memory size9.0 KiB
2024-05-11T14:32:44.937387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length49
Mean length26.419753
Min length3

Characters and Unicode

Total characters2140
Distinct characters226
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)91.4%

Sample

1st row북두칠성(THE SEVEN STAR)
2nd row블루스카이스타, 마린후레쉬
3rd row사신도(四神圖):50대
4th row사신도40대
5th row사신도
ValueCountFrequency (%)
황금포커성 4
 
1.8%
poker 4
 
1.8%
포커 4
 
1.8%
대왕황금용(30 3
 
1.4%
로얄 3
 
1.4%
레볼루션 3
 
1.4%
로얄고도리2 2
 
0.9%
불타는불새(110 2
 
0.9%
불타는불새(50 2
 
0.9%
사신전(40 2
 
0.9%
Other values (182) 192
86.9%
2024-05-11T14:32:45.579067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 177
 
8.3%
) 177
 
8.3%
140
 
6.5%
0 137
 
6.4%
, 125
 
5.8%
2 73
 
3.4%
3 53
 
2.5%
1 53
 
2.5%
불 49
 
2.3%
포 47
 
2.2%
Other values (216) 1109
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 943
44.1%
Decimal Number 404
18.9%
Open Punctuation 177
 
8.3%
Close Punctuation 177
 
8.3%
Space Separator 140
 
6.5%
Other Punctuation 132
 
6.2%
Uppercase Letter 107
 
5.0%
Lowercase Letter 51
 
2.4%
Dash Punctuation 6
 
0.3%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
불 49
 
5.2%
포 47
 
5.0%
커 34
 
3.6%
타 29
 
3.1%
황 27
 
2.9%
스 26
 
2.8%
성 26
 
2.8%
금 25
 
2.7%
새 25
 
2.7%
대 24
 
2.5%
Other values (160) 631
66.9%
Uppercase Letter
ValueCountFrequency (%)
E 12
11.2%
P 10
 
9.3%
O 10
 
9.3%
A 10
 
9.3%
K 9
 
8.4%
R 8
 
7.5%
N 8
 
7.5%
C 6
 
5.6%
T 5
 
4.7%
S 4
 
3.7%
Other values (12) 25
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.5%
r 8
15.7%
o 6
11.8%
d 5
9.8%
n 4
 
7.8%
g 3
 
5.9%
a 2
 
3.9%
v 2
 
3.9%
k 2
 
3.9%
l 2
 
3.9%
Other values (5) 5
9.8%
Decimal Number
ValueCountFrequency (%)
0 137
33.9%
2 73
18.1%
3 53
 
13.1%
1 53
 
13.1%
4 29
 
7.2%
5 25
 
6.2%
7 13
 
3.2%
6 10
 
2.5%
9 7
 
1.7%
8 4
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 125
94.7%
. 6
 
4.5%
: 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 177
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1039
48.6%
Hangul 936
43.7%
Latin 158
 
7.4%
Han 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
불 49
 
5.2%
포 47
 
5.0%
커 34
 
3.6%
타 29
 
3.1%
황 27
 
2.9%
스 26
 
2.8%
성 26
 
2.8%
금 25
 
2.7%
새 25
 
2.7%
대 24
 
2.6%
Other values (153) 624
66.7%
Latin
ValueCountFrequency (%)
E 12
 
7.6%
e 12
 
7.6%
P 10
 
6.3%
O 10
 
6.3%
A 10
 
6.3%
K 9
 
5.7%
r 8
 
5.1%
R 8
 
5.1%
N 8
 
5.1%
C 6
 
3.8%
Other values (27) 65
41.1%
Common
ValueCountFrequency (%)
( 177
17.0%
) 177
17.0%
140
13.5%
0 137
13.2%
, 125
12.0%
2 73
7.0%
3 53
 
5.1%
1 53
 
5.1%
4 29
 
2.8%
5 25
 
2.4%
Other values (9) 50
 
4.8%
Han
ValueCountFrequency (%)
强 1
14.3%
城 1
14.3%
黃 1
14.3%
金 1
14.3%
圖 1
14.3%
神 1
14.3%
四 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1197
55.9%
Hangul 936
43.7%
CJK 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 177
14.8%
) 177
14.8%
140
11.7%
0 137
11.4%
, 125
10.4%
2 73
 
6.1%
3 53
 
4.4%
1 53
 
4.4%
4 29
 
2.4%
5 25
 
2.1%
Other values (46) 208
17.4%
Hangul
ValueCountFrequency (%)
불 49
 
5.2%
포 47
 
5.0%
커 34
 
3.6%
타 29
 
3.1%
황 27
 
2.9%
스 26
 
2.8%
성 26
 
2.8%
금 25
 
2.7%
새 25
 
2.7%
대 24
 
2.6%
Other values (153) 624
66.7%
CJK
ValueCountFrequency (%)
强 1
14.3%
城 1
14.3%
黃 1
14.3%
金 1
14.3%
圖 1
14.3%
神 1
14.3%
四 1
14.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct266
Distinct (%)41.8%
Missing505
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean78.88555
Minimum0
Maximum3942
Zeros338
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:45.865766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3122.8625
95-th percentile278.605
Maximum3942
Range3942
Interquartile range (IQR)122.8625

Descriptive statistics

Standard deviation188.50829
Coefficient of variation (CV)2.3896429
Kurtosis278.98544
Mean78.88555
Median Absolute Deviation (MAD)0
Skewness14.076117
Sum50171.21
Variance35535.376
MonotonicityNot monotonic
2024-05-11T14:32:46.149050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 338
29.6%
327.27 5
 
0.4%
191.36 3
 
0.3%
159.01 3
 
0.3%
176.9 3
 
0.3%
245.17 3
 
0.3%
48.22 2
 
0.2%
165.48 2
 
0.2%
287.43 2
 
0.2%
279.37 2
 
0.2%
Other values (256) 273
23.9%
(Missing) 505
44.3%
ValueCountFrequency (%)
0.0 338
29.6%
9.1 1
 
0.1%
10.75 1
 
0.1%
21.5 2
 
0.2%
28.32 1
 
0.1%
28.38 1
 
0.1%
28.4 1
 
0.1%
28.5 1
 
0.1%
31.75 1
 
0.1%
31.92 1
 
0.1%
ValueCountFrequency (%)
3942.0 1
0.1%
934.35 1
0.1%
819.6 1
0.1%
709.56 1
0.1%
540.9 1
0.1%
504.0 1
0.1%
495.0 1
0.1%
441.0 1
0.1%
429.0 1
0.1%
389.4 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.4%
Missing725
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean1.4447115
Minimum0
Maximum15
Zeros198
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:46.382396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.25
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2131743
Coefficient of variation (CV)1.5319143
Kurtosis10.670957
Mean1.4447115
Median Absolute Deviation (MAD)1
Skewness2.7254995
Sum601
Variance4.8981406
MonotonicityNot monotonic
2024-05-11T14:32:46.582285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 198
 
17.4%
1 85
 
7.4%
2 45
 
3.9%
3 34
 
3.0%
5 19
 
1.7%
4 14
 
1.2%
6 10
 
0.9%
7 3
 
0.3%
8 2
 
0.2%
15 2
 
0.2%
Other values (4) 4
 
0.4%
(Missing) 725
63.5%
ValueCountFrequency (%)
0 198
17.4%
1 85
7.4%
2 45
 
3.9%
3 34
 
3.0%
4 14
 
1.2%
5 19
 
1.7%
6 10
 
0.9%
7 3
 
0.3%
8 2
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
15 2
 
0.2%
14 1
 
0.1%
13 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 2
 
0.2%
7 3
 
0.3%
6 10
0.9%
5 19
1.7%
4 14
1.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.1%
Missing808
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean0.4984985
Minimum0
Maximum8
Zeros200
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:46.756169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.88366919
Coefficient of variation (CV)1.7726617
Kurtosis25.393703
Mean0.4984985
Median Absolute Deviation (MAD)0
Skewness4.1676843
Sum166
Variance0.78087123
MonotonicityNot monotonic
2024-05-11T14:32:46.930976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 200
 
17.5%
1 123
 
10.8%
5 3
 
0.3%
2 3
 
0.3%
4 2
 
0.2%
6 1
 
0.1%
8 1
 
0.1%
(Missing) 808
70.8%
ValueCountFrequency (%)
0 200
17.5%
1 123
10.8%
2 3
 
0.3%
4 2
 
0.2%
5 3
 
0.3%
6 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 1
 
0.1%
5 3
 
0.3%
4 2
 
0.2%
2 3
 
0.3%
1 123
10.8%
0 200
17.5%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
976 
근린생활시설
126 
판매시설
 
35
단독주택
 
1
유통시설
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.2182296
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 976
85.5%
근린생활시설 126
 
11.0%
판매시설 35
 
3.1%
단독주택 1
 
0.1%
유통시설 1
 
0.1%
기타 1
 
0.1%
사무실 1
 
0.1%

Length

2024-05-11T14:32:47.165985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:47.414451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 976
85.5%
근린생활시설 126
 
11.0%
판매시설 35
 
3.1%
단독주택 1
 
0.1%
유통시설 1
 
0.1%
기타 1
 
0.1%
사무실 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1139 
0
 
2

Length

Max length4
Median length4
Mean length3.9947415
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> 1139
99.8%
0 2
 
0.2%

Length

2024-05-11T14:32:47.633169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:47.804977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1139
99.8%
0 2
 
0.2%

조명시설조도
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)23.5%
Missing1107
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean41.205882
Minimum0
Maximum60
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:47.943033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.25
Q140
median45
Q345
95-th percentile47.4
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.6275
Coefficient of variation (CV)0.28218058
Kurtosis8.5833374
Mean41.205882
Median Absolute Deviation (MAD)0
Skewness-2.7825583
Sum1401
Variance135.19875
MonotonicityNot monotonic
2024-05-11T14:32:48.116268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
45 21
 
1.8%
40 6
 
0.5%
0 2
 
0.2%
25 1
 
0.1%
35 1
 
0.1%
46 1
 
0.1%
50 1
 
0.1%
60 1
 
0.1%
(Missing) 1107
97.0%
ValueCountFrequency (%)
0 2
 
0.2%
25 1
 
0.1%
35 1
 
0.1%
40 6
 
0.5%
45 21
1.8%
46 1
 
0.1%
50 1
 
0.1%
60 1
 
0.1%
ValueCountFrequency (%)
60 1
 
0.1%
50 1
 
0.1%
46 1
 
0.1%
45 21
1.8%
40 6
 
0.5%
35 1
 
0.1%
25 1
 
0.1%
0 2
 
0.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1139 
0
 
2

Length

Max length4
Median length4
Mean length3.9947415
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> 1139
99.8%
0 2
 
0.2%

Length

2024-05-11T14:32:48.359134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:48.548415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1139
99.8%
0 2
 
0.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1139 
0
 
2

Length

Max length4
Median length4
Mean length3.9947415
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> 1139
99.8%
0 2
 
0.2%

Length

2024-05-11T14:32:48.750905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:48.915058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1139
99.8%
0 2
 
0.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)63.9%
Missing1080
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean107.4918
Minimum23
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T14:32:49.103999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile29
Q170
median100
Q3147
95-th percentile180
Maximum274
Range251
Interquartile range (IQR)77

Descriptive statistics

Standard deviation50.846377
Coefficient of variation (CV)0.47302563
Kurtosis0.52915272
Mean107.4918
Median Absolute Deviation (MAD)40
Skewness0.51604843
Sum6557
Variance2585.3541
MonotonicityNot monotonic
2024-05-11T14:32:49.334130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
140 5
 
0.4%
50 4
 
0.4%
100 4
 
0.4%
29 2
 
0.2%
147 2
 
0.2%
82 2
 
0.2%
160 2
 
0.2%
60 2
 
0.2%
80 2
 
0.2%
170 2
 
0.2%
Other values (29) 34
 
3.0%
(Missing) 1080
94.7%
ValueCountFrequency (%)
23 2
0.2%
29 2
0.2%
30 1
 
0.1%
48 1
 
0.1%
50 4
0.4%
59 1
 
0.1%
60 2
0.2%
61 1
 
0.1%
65 1
 
0.1%
70 2
0.2%
ValueCountFrequency (%)
274 1
0.1%
210 1
0.1%
190 1
0.1%
180 1
0.1%
170 2
0.2%
160 2
0.2%
158 1
0.1%
153 2
0.2%
151 1
0.1%
150 2
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1045 
청소년이용불가
 
88
전체이용가
 
4
전체이용가 및 청소년이용불가
 
4

Length

Max length15
Median length4
Mean length4.2734443
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> 1045
91.6%
청소년이용불가 88
 
7.7%
전체이용가 4
 
0.4%
전체이용가 및 청소년이용불가 4
 
0.4%

Length

2024-05-11T14:32:49.547483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:49.741246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1045
90.9%
청소년이용불가 92
 
8.0%
전체이용가 8
 
0.7%
및 4
 
0.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
983 
일반상업지역
 
82
준주거지역
 
32
상업지역
 
15
일반주거지역
 
15
Other values (2)
 
14

Length

Max length6
Median length4
Mean length4.2208589
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 983
86.2%
일반상업지역 82
 
7.2%
준주거지역 32
 
2.8%
상업지역 15
 
1.3%
일반주거지역 15
 
1.3%
근린상업지역 13
 
1.1%
주거지역 1
 
0.1%

Length

2024-05-11T14:32:49.975891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:50.200411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 983
86.2%
일반상업지역 82
 
7.2%
준주거지역 32
 
2.8%
상업지역 15
 
1.3%
일반주거지역 15
 
1.3%
근린상업지역 13
 
1.1%
주거지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF224101198500000119850402<NA>3폐업3폐업20030923<NA><NA><NA><NA><NA>151879서울특별시 관악구 신림동 611-11번지 38<NA><NA>컴퓨터게임랜드2008-01-18 11:00:58I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<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>
13200000CDFF224101198500000219850408<NA>3폐업3폐업20010720<NA><NA><NA><NA><NA>151899서울특별시 관악구 신림동 1569-10번지서울특별시 관악구 남부순환로 1482 (신림동)<NA>우주게임월드2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>192444.755615442172.384964게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000CDFF224101198500000319850507<NA>3폐업3폐업20011207<NA><NA><NA><NA><NA>151892서울특별시 관악구 신림동 1431-15번지서울특별시 관악구 신림로 361 (신림동)<NA>지구게임장2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>193651.40079442694.194138게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33200000CDFF224101198500000419850522<NA>3폐업3폐업20000201<NA><NA><NA><NA><NA>151843서울특별시 관악구 봉천동 925-7번지서울특별시 관악구 봉천로33길 7 (봉천동)<NA>명보2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>194941.905784442377.293915게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43200000CDFF224101198500000519850528<NA>3폐업3폐업20020218<NA><NA><NA>88-8917<NA>151892서울특별시 관악구 신림동 1433-114번지서울특별시 관악구 남부순환로 1589 (신림동)<NA>882008-01-18 10:59:50I2018-08-31 23:59:59.0<NA>193491.109023442451.099936게임제공업유통관련업<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>
53200000CDFF224101198500000619850530<NA>3폐업3폐업20011220<NA><NA><NA><NA><NA>151913서울특별시 관악구 봉천동 952-20번지서울특별시 관악구 은천로 25 (봉천동)<NA>코스모2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>194470.351057442697.441464게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF224101198500000719850530<NA>3폐업3폐업20011220<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 492-17번지서울특별시 관악구 남부순환로161가길 18 (신림동)<NA>까치2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>192658.523904442555.042739게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000CDFF224101198500000819850604<NA>3폐업3폐업20011220<NA><NA><NA><NA><NA>151811서울특별시 관악구 봉천동 58-2번지서울특별시 관악구 중앙길 7 (봉천동)<NA>테크노댄스텍2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>195845.67044442397.600123게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000CDFF224101198500000919850702<NA>3폐업3폐업20011210<NA><NA><NA><NA><NA>151876서울특별시 관악구 신림동 543-24번지서울특별시 관악구 남부순환로143길 10 (신림동)<NA>남부2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>192059.505415442179.966332게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93200000CDFF224101198500001019850716<NA>3폐업3폐업19991214<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 651-32번지서울특별시 관악구 난곡로24다길 1 (신림동)<NA>푸른2003-02-06 10:46:07I2018-08-31 23:59:59.0<NA>192971.889291440789.755374게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
11313200000CDFF224113202100001020210812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1655-19 3층서울특별시 관악구 시흥대로 558, 3층 (신림동)8769화신성 게임랜드2021-11-30 13:12:12U2021-12-02 02:40:00.0<NA>191244.186953442274.238534일반게임제공업유통관련업0<NA>불타는불새(150),대황황금용(20),드러와포커(10)327.2730<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>180<NA>청소년이용불가<NA><NA><NA><NA>
11323200000CDFF224113202100001120210916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1422-10 대현빌딩서울특별시 관악구 남부순환로 1631, 대현빌딩 지하1층 (신림동)8754신림양지탑게임랜드2022-01-11 10:30:47U2022-01-13 02:40:00.0<NA>193898.694558442510.16608일반게임제공업유통관련업6<NA>불타는불새10(20), 라이온킹v2.0(40), 강태공2(40), 띵호와500(90)540.951<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>190<NA>청소년이용불가<NA><NA><NA><NA>
11333200000CDFF224113202200000120220113<NA>3폐업3폐업20220607<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 58-2서울특별시 관악구 중앙길 7, 2층 (봉천동)8745늘푸른게임랜드2022-06-07 09:29:38U2021-12-06 00:09:00.0<NA>195845.67044442397.600123<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>
11343200000CDFF22411320220000022022-02-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1425-23서울특별시 관악구 신림로 370, 2~3층 (신림동)8753공룡게임장2023-02-23 13:35:16U2022-12-01 22:05:00.0<NA>193662.702786442795.834206<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>
11353200000CDFF22411320220000042022-05-20<NA>3폐업3폐업2023-06-14<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 527-5서울특별시 관악구 난곡로66길 12, 2층 (신림동)8761타임게임랜드2023-06-14 13:57:25U2022-12-05 23:06:00.0<NA>192415.898338442258.117496<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>
11363200000CDFF22411320220000052022-09-23<NA>3폐업3폐업2023-06-07<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 58-2서울특별시 관악구 중앙길 7, 2층 좌측호 (봉천동)8745신왕PC2023-06-07 09:08:11U2022-12-05 23:00:00.0<NA>195845.67044442397.600123<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>
11373200000CDFF22411320220000062022-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 529-7서울특별시 관악구 난곡로66길 7, 3층 (신림동)8761난곡성인게임장2024-01-23 15:32:32U2023-11-30 22:05:00.0<NA>192393.663311442281.964359<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>
11383200000CDFF224113202200000720221214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 58-2서울특별시 관악구 중앙길 7, 2층 우측 1호 (봉천동)8745화이트게임랜드2022-12-14 16:33:03I2021-11-01 23:06:00.0<NA>195845.67044442397.600123<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>
11393200000CDFF22411320220000082022-12-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 529-13서울특별시 관악구 난곡로 332, 3층 (신림동)8761세븐게임장2024-01-23 15:24:20U2023-11-30 22:05:00.0<NA>192360.94157442384.663778<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>
11403200000CDFF22411320230000012023-07-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1422-5 르네상스 복합쇼핑몰서울특별시 관악구 신림로 340, 르네상스 복합쇼핑몰 지하1층 (신림동)8754제일게임랜드2024-01-23 15:34:33U2023-11-30 22:05:00.0<NA>193746.833838442510.775086<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>