Overview

Dataset statistics

Number of variables60
Number of observations214
Missing cells7576
Missing cells (%)59.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.8 KiB
Average record size in memory525.6 B

Variable types

Categorical14
Text7
DateTime3
Unsupported32
Numeric4

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,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16853/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
영업상태코드 is highly imbalanced (80.1%)Imbalance
영업상태명 is highly imbalanced (80.1%)Imbalance
상세영업상태코드 is highly imbalanced (80.1%)Imbalance
상세영업상태명 is highly imbalanced (80.1%)Imbalance
도로명우편번호 is highly imbalanced (91.7%)Imbalance
데이터갱신구분 is highly imbalanced (77.0%)Imbalance
문화체육업종명 is highly imbalanced (72.8%)Imbalance
문화사업자구분명 is highly imbalanced (72.8%)Imbalance
총층수 is highly imbalanced (92.5%)Imbalance
지상층수 is highly imbalanced (92.5%)Imbalance
지하층수 is highly imbalanced (92.4%)Imbalance
시설면적 is highly imbalanced (77.0%)Imbalance
시설규모 is highly imbalanced (77.0%)Imbalance
인허가취소일자 has 214 (100.0%) missing valuesMissing
휴업시작일자 has 214 (100.0%) missing valuesMissing
휴업종료일자 has 214 (100.0%) missing valuesMissing
재개업일자 has 214 (100.0%) missing valuesMissing
전화번호 has 153 (71.5%) missing valuesMissing
소재지면적 has 214 (100.0%) missing valuesMissing
소재지우편번호 has 5 (2.3%) missing valuesMissing
도로명주소 has 57 (26.6%) missing valuesMissing
업태구분명 has 214 (100.0%) missing valuesMissing
좌표정보(X) has 43 (20.1%) missing valuesMissing
좌표정보(Y) has 43 (20.1%) missing valuesMissing
지역구분명 has 214 (100.0%) missing valuesMissing
주변환경명 has 213 (99.5%) missing valuesMissing
제작취급품목내용 has 214 (100.0%) missing valuesMissing
보험기관명 has 214 (100.0%) missing valuesMissing
건물용도명 has 213 (99.5%) missing valuesMissing
객실수 has 214 (100.0%) missing valuesMissing
건축연면적 has 214 (100.0%) missing valuesMissing
영문상호명 has 214 (100.0%) missing valuesMissing
영문상호주소 has 214 (100.0%) missing valuesMissing
선박총톤수 has 214 (100.0%) missing valuesMissing
선박척수 has 214 (100.0%) missing valuesMissing
선박제원 has 214 (100.0%) missing valuesMissing
무대면적 has 214 (100.0%) missing valuesMissing
좌석수 has 214 (100.0%) missing valuesMissing
기념품종류 has 214 (100.0%) missing valuesMissing
회의실별동시수용인원 has 214 (100.0%) missing valuesMissing
놀이기구수내역 has 214 (100.0%) missing valuesMissing
놀이시설수 has 214 (100.0%) missing valuesMissing
방송시설유무 has 214 (100.0%) missing valuesMissing
발전시설유무 has 214 (100.0%) missing valuesMissing
의무실유무 has 214 (100.0%) missing valuesMissing
안내소유무 has 214 (100.0%) missing valuesMissing
기획여행보험시작일자 has 214 (100.0%) missing valuesMissing
기획여행보험종료일자 has 214 (100.0%) missing valuesMissing
자본금 has 214 (100.0%) missing valuesMissing
보험시작일자 has 214 (100.0%) missing valuesMissing
보험종료일자 has 214 (100.0%) missing valuesMissing
부대시설내역 has 214 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:27:29.303878
Analysis finished2024-05-11 05:27:30.460416
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3110000
214 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 214
100.0%

Length

2024-05-11T14:27:30.590603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:30.765100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 214
100.0%

관리번호
Text

UNIQUE 

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:27:31.072958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4280
Distinct characters14
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

Unique214 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001974000001
2nd rowCDFE1230001974000002
3rd rowCDFE1230001974000003
4th rowCDFE1230001974000004
5th rowCDFE1230001977000001
ValueCountFrequency (%)
cdfe1230001974000001 1
 
0.5%
cdfe1230001993000008 1
 
0.5%
cdfe1230001993000010 1
 
0.5%
cdfe1230001993000011 1
 
0.5%
cdfe1230001993000012 1
 
0.5%
cdfe1230001993000013 1
 
0.5%
cdfe1230001993000014 1
 
0.5%
cdfe1230001993000015 1
 
0.5%
cdfe1230001994000001 1
 
0.5%
cdfe1230001994000002 1
 
0.5%
Other values (204) 204
95.3%
2024-05-11T14:27:31.675915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1713
40.0%
1 521
 
12.2%
9 357
 
8.3%
2 264
 
6.2%
3 263
 
6.1%
C 214
 
5.0%
D 214
 
5.0%
F 214
 
5.0%
E 214
 
5.0%
8 133
 
3.1%
Other values (4) 173
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3424
80.0%
Uppercase Letter 856
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1713
50.0%
1 521
 
15.2%
9 357
 
10.4%
2 264
 
7.7%
3 263
 
7.7%
8 133
 
3.9%
7 49
 
1.4%
4 46
 
1.3%
5 39
 
1.1%
6 39
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 214
25.0%
D 214
25.0%
F 214
25.0%
E 214
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3424
80.0%
Latin 856
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1713
50.0%
1 521
 
15.2%
9 357
 
10.4%
2 264
 
7.7%
3 263
 
7.7%
8 133
 
3.9%
7 49
 
1.4%
4 46
 
1.3%
5 39
 
1.1%
6 39
 
1.1%
Latin
ValueCountFrequency (%)
C 214
25.0%
D 214
25.0%
F 214
25.0%
E 214
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1713
40.0%
1 521
 
12.2%
9 357
 
8.3%
2 264
 
6.2%
3 263
 
6.1%
C 214
 
5.0%
D 214
 
5.0%
F 214
 
5.0%
E 214
 
5.0%
8 133
 
3.1%
Other values (4) 173
 
4.0%

인허가일자
Date

Distinct201
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1974-01-30 00:00:00
Maximum2016-12-26 00:00:00
2024-05-11T14:27:32.054663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:32.365414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
4
203 
3
 
10
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
4 203
94.9%
3 10
 
4.7%
1 1
 
0.5%

Length

2024-05-11T14:27:32.617305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:32.789595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 203
94.9%
3 10
 
4.7%
1 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
취소/말소/만료/정지/중지
203 
폐업
 
10
영업/정상
 
1

Length

Max length14
Median length14
Mean length13.397196
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 203
94.9%
폐업 10
 
4.7%
영업/정상 1
 
0.5%

Length

2024-05-11T14:27:32.993214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:33.166386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 203
94.9%
폐업 10
 
4.7%
영업/정상 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
35
203 
3
 
10
13
 
1

Length

Max length2
Median length2
Mean length1.953271
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
35 203
94.9%
3 10
 
4.7%
13 1
 
0.5%

Length

2024-05-11T14:27:33.370960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:33.565070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35 203
94.9%
3 10
 
4.7%
13 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
직권말소
203 
폐업
 
10
영업중
 
1

Length

Max length4
Median length4
Mean length3.9018692
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 203
94.9%
폐업 10
 
4.7%
영업중 1
 
0.5%

Length

2024-05-11T14:27:33.788372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:34.004316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 203
94.9%
폐업 10
 
4.7%
영업중 1
 
0.5%

폐업일자
Real number (ℝ)

Distinct9
Distinct (%)4.2%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20211841
Minimum19961228
Maximum20220413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:27:34.187851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961228
5-th percentile20220413
Q120220413
median20220413
Q320220413
95-th percentile20220413
Maximum20220413
Range259185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42920.903
Coefficient of variation (CV)0.0021235524
Kurtosis24.079385
Mean20211841
Median Absolute Deviation (MAD)0
Skewness-5.0435484
Sum4.3051221 × 109
Variance1.8422039 × 109
MonotonicityNot monotonic
2024-05-11T14:27:34.396794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20220413 203
94.9%
19991122 3
 
1.4%
19961228 1
 
0.5%
20000801 1
 
0.5%
19980318 1
 
0.5%
19981230 1
 
0.5%
20090331 1
 
0.5%
20190425 1
 
0.5%
20200531 1
 
0.5%
(Missing) 1
 
0.5%
ValueCountFrequency (%)
19961228 1
 
0.5%
19980318 1
 
0.5%
19981230 1
 
0.5%
19991122 3
 
1.4%
20000801 1
 
0.5%
20090331 1
 
0.5%
20190425 1
 
0.5%
20200531 1
 
0.5%
20220413 203
94.9%
ValueCountFrequency (%)
20220413 203
94.9%
20200531 1
 
0.5%
20190425 1
 
0.5%
20090331 1
 
0.5%
20000801 1
 
0.5%
19991122 3
 
1.4%
19981230 1
 
0.5%
19980318 1
 
0.5%
19961228 1
 
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct58
Distinct (%)95.1%
Missing153
Missing (%)71.5%
Memory size1.8 KiB
2024-05-11T14:27:34.784872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.147541
Min length7

Characters and Unicode

Total characters497
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

Unique55 ?
Unique (%)90.2%

Sample

1st row695-5655
2nd row668-2225
3rd row383-9214
4th row387-2818
5th row355-0624
ValueCountFrequency (%)
382-1005 2
 
3.3%
385-8301 2
 
3.3%
388-3411 2
 
3.3%
02-351-3736 1
 
1.6%
389-5445 1
 
1.6%
352-5520 1
 
1.6%
373-5001 1
 
1.6%
359-4872 1
 
1.6%
384-9149 1
 
1.6%
352-3153 1
 
1.6%
Other values (48) 48
78.7%
2024-05-11T14:27:35.409414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
17.3%
- 64
12.9%
5 63
12.7%
8 48
9.7%
2 43
8.7%
1 40
8.0%
0 33
 
6.6%
6 33
 
6.6%
4 30
 
6.0%
7 30
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
87.1%
Dash Punctuation 64
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
19.9%
5 63
14.5%
8 48
11.1%
2 43
9.9%
1 40
9.2%
0 33
 
7.6%
6 33
 
7.6%
4 30
 
6.9%
7 30
 
6.9%
9 27
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 497
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 86
17.3%
- 64
12.9%
5 63
12.7%
8 48
9.7%
2 43
8.7%
1 40
8.0%
0 33
 
6.6%
6 33
 
6.6%
4 30
 
6.0%
7 30
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
17.3%
- 64
12.9%
5 63
12.7%
8 48
9.7%
2 43
8.7%
1 40
8.0%
0 33
 
6.6%
6 33
 
6.6%
4 30
 
6.0%
7 30
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)43.1%
Missing5
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean122826.71
Minimum122050
Maximum122960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:27:35.650852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122050
5-th percentile122200
Q1122829
median122860
Q3122900
95-th percentile122926.6
Maximum122960
Range910
Interquartile range (IQR)71

Descriptive statistics

Standard deviation170.07788
Coefficient of variation (CV)0.0013846979
Kurtosis10.087864
Mean122826.71
Median Absolute Deviation (MAD)37
Skewness-3.3206633
Sum25670782
Variance28926.487
MonotonicityNot monotonic
2024-05-11T14:27:35.933671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122200 12
 
5.6%
122837 10
 
4.7%
122895 7
 
3.3%
122859 6
 
2.8%
122834 6
 
2.8%
122924 6
 
2.8%
122858 5
 
2.3%
122882 5
 
2.3%
122888 4
 
1.9%
122804 4
 
1.9%
Other values (80) 144
67.3%
(Missing) 5
 
2.3%
ValueCountFrequency (%)
122050 1
 
0.5%
122200 12
5.6%
122751 2
 
0.9%
122800 4
 
1.9%
122801 2
 
0.9%
122804 4
 
1.9%
122805 1
 
0.5%
122806 3
 
1.4%
122808 1
 
0.5%
122810 2
 
0.9%
ValueCountFrequency (%)
122960 1
0.5%
122952 1
0.5%
122951 1
0.5%
122947 2
0.9%
122939 2
0.9%
122937 1
0.5%
122935 1
0.5%
122928 1
0.5%
122927 1
0.5%
122926 1
0.5%

지번주소
Text

Distinct195
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:27:36.535678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length20.070093
Min length4

Characters and Unicode

Total characters4295
Distinct characters72
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

Unique177 ?
Unique (%)82.7%

Sample

1st row서울특별시 은평구 응암동 585-48
2nd row서울특별시 은평구 응암동 585-48
3rd row서울특별시 은평구 녹번동 19-69
4th row서울특별시 은평구 녹번동 118-27
5th row서울특별시 은평구 응암동 530-3
ValueCountFrequency (%)
서울특별시 212
23.9%
은평구 212
23.9%
응암동 40
 
4.5%
불광동 31
 
3.5%
갈현동 25
 
2.8%
녹번동 25
 
2.8%
역촌동 25
 
2.8%
신사동 23
 
2.6%
대조동 18
 
2.0%
진관동 13
 
1.5%
Other values (227) 264
29.7%
2024-05-11T14:27:37.384860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
684
15.9%
동 224
 
5.2%
구 216
 
5.0%
은 213
 
5.0%
평 213
 
5.0%
서 212
 
4.9%
울 212
 
4.9%
시 212
 
4.9%
별 212
 
4.9%
특 212
 
4.9%
Other values (62) 1685
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2429
56.6%
Decimal Number 975
22.7%
Space Separator 684
 
15.9%
Dash Punctuation 201
 
4.7%
Uppercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 224
9.2%
구 216
8.9%
은 213
8.8%
평 213
8.8%
서 212
8.7%
울 212
8.7%
시 212
8.7%
별 212
8.7%
특 212
8.7%
암 40
 
1.6%
Other values (44) 463
19.1%
Decimal Number
ValueCountFrequency (%)
1 186
19.1%
2 142
14.6%
4 113
11.6%
3 108
11.1%
5 89
9.1%
8 73
 
7.5%
7 71
 
7.3%
0 67
 
6.9%
6 64
 
6.6%
9 62
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
684
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2429
56.6%
Common 1863
43.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 224
9.2%
구 216
8.9%
은 213
8.8%
평 213
8.8%
서 212
8.7%
울 212
8.7%
시 212
8.7%
별 212
8.7%
특 212
8.7%
암 40
 
1.6%
Other values (44) 463
19.1%
Common
ValueCountFrequency (%)
684
36.7%
- 201
 
10.8%
1 186
 
10.0%
2 142
 
7.6%
4 113
 
6.1%
3 108
 
5.8%
5 89
 
4.8%
8 73
 
3.9%
7 71
 
3.8%
0 67
 
3.6%
Other values (5) 129
 
6.9%
Latin
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2429
56.6%
ASCII 1866
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
684
36.7%
- 201
 
10.8%
1 186
 
10.0%
2 142
 
7.6%
4 113
 
6.1%
3 108
 
5.8%
5 89
 
4.8%
8 73
 
3.9%
7 71
 
3.8%
0 67
 
3.6%
Other values (8) 132
 
7.1%
Hangul
ValueCountFrequency (%)
동 224
9.2%
구 216
8.9%
은 213
8.8%
평 213
8.8%
서 212
8.7%
울 212
8.7%
시 212
8.7%
별 212
8.7%
특 212
8.7%
암 40
 
1.6%
Other values (44) 463
19.1%

도로명주소
Text

MISSING 

Distinct142
Distinct (%)90.4%
Missing57
Missing (%)26.6%
Memory size1.8 KiB
2024-05-11T14:27:37.868932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length26.11465
Min length22

Characters and Unicode

Total characters4100
Distinct characters87
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

Unique129 ?
Unique (%)82.2%

Sample

1st row서울특별시 은평구 불광천길 392 (응암동)
2nd row서울특별시 은평구 불광천길 392 (응암동)
3rd row서울특별시 은평구 통일로54길 7 (녹번동)
4th row서울특별시 은평구 녹번로9길 12-1 (녹번동)
5th row서울특별시 은평구 은평로20길 32-1 (응암동)
ValueCountFrequency (%)
서울특별시 157
19.5%
은평구 157
19.5%
응암동 27
 
3.3%
역촌동 23
 
2.9%
녹번동 21
 
2.6%
갈현동 20
 
2.5%
불광동 18
 
2.2%
신사동 16
 
2.0%
대조동 14
 
1.7%
통일로 13
 
1.6%
Other values (233) 340
42.2%
2024-05-11T14:27:38.705464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
655
 
16.0%
평 179
 
4.4%
은 179
 
4.4%
서 177
 
4.3%
동 167
 
4.1%
1 165
 
4.0%
구 160
 
3.9%
시 157
 
3.8%
별 157
 
3.8%
특 157
 
3.8%
Other values (77) 1947
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2414
58.9%
Space Separator 655
 
16.0%
Decimal Number 625
 
15.2%
Close Punctuation 157
 
3.8%
Open Punctuation 157
 
3.8%
Dash Punctuation 63
 
1.5%
Other Punctuation 26
 
0.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 179
 
7.4%
은 179
 
7.4%
서 177
 
7.3%
동 167
 
6.9%
구 160
 
6.6%
시 157
 
6.5%
별 157
 
6.5%
특 157
 
6.5%
울 157
 
6.5%
로 153
 
6.3%
Other values (58) 771
31.9%
Decimal Number
ValueCountFrequency (%)
1 165
26.4%
2 93
14.9%
3 76
12.2%
7 54
 
8.6%
4 52
 
8.3%
5 43
 
6.9%
8 38
 
6.1%
0 38
 
6.1%
9 37
 
5.9%
6 29
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
. 1
 
3.8%
Space Separator
ValueCountFrequency (%)
655
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2414
58.9%
Common 1683
41.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 179
 
7.4%
은 179
 
7.4%
서 177
 
7.3%
동 167
 
6.9%
구 160
 
6.6%
시 157
 
6.5%
별 157
 
6.5%
특 157
 
6.5%
울 157
 
6.5%
로 153
 
6.3%
Other values (58) 771
31.9%
Common
ValueCountFrequency (%)
655
38.9%
1 165
 
9.8%
) 157
 
9.3%
( 157
 
9.3%
2 93
 
5.5%
3 76
 
4.5%
- 63
 
3.7%
7 54
 
3.2%
4 52
 
3.1%
5 43
 
2.6%
Other values (6) 168
 
10.0%
Latin
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2414
58.9%
ASCII 1686
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
655
38.8%
1 165
 
9.8%
) 157
 
9.3%
( 157
 
9.3%
2 93
 
5.5%
3 76
 
4.5%
- 63
 
3.7%
7 54
 
3.2%
4 52
 
3.1%
5 43
 
2.6%
Other values (9) 171
 
10.1%
Hangul
ValueCountFrequency (%)
평 179
 
7.4%
은 179
 
7.4%
서 177
 
7.3%
동 167
 
6.9%
구 160
 
6.6%
시 157
 
6.5%
별 157
 
6.5%
특 157
 
6.5%
울 157
 
6.5%
로 153
 
6.3%
Other values (58) 771
31.9%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
122825
 
1
122837
 
1
3381
 
1
3397
 
1

Length

Max length6
Median length4
Mean length4.0186916
Min length4

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row<NA>
3rd row122825
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 209
97.7%
122825 1
 
0.5%
122837 1
 
0.5%
3381 1
 
0.5%
3397 1
 
0.5%
3306 1
 
0.5%

Length

2024-05-11T14:27:38.978165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:39.205179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
97.7%
122825 1
 
0.5%
122837 1
 
0.5%
3381 1
 
0.5%
3397 1
 
0.5%
3306 1
 
0.5%

사업장명
Text

Distinct197
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:27:39.672718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length6.1028037
Min length1

Characters and Unicode

Total characters1306
Distinct characters320
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)84.6%

Sample

1st row김인배가무단
2nd row김인배가무단
3rd row돌하르망악단
4th row민병윤과2외악단
5th row못난이가족
ValueCountFrequency (%)
도원극장 3
 
1.3%
노무악단 2
 
0.9%
최용익악단 2
 
0.9%
킴스캄보 2
 
0.9%
김정호악단 2
 
0.9%
한국챔버코랄 2
 
0.9%
스타소극장 2
 
0.9%
스타비디오소극장 2
 
0.9%
비디오프라자 2
 
0.9%
극단 2
 
0.9%
Other values (195) 202
90.6%
2024-05-11T14:27:40.563609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 112
 
8.6%
악 54
 
4.1%
극 45
 
3.4%
무 38
 
2.9%
가 29
 
2.2%
이 24
 
1.8%
스 22
 
1.7%
회 18
 
1.4%
인 17
 
1.3%
장 17
 
1.3%
Other values (310) 930
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1247
95.5%
Lowercase Letter 19
 
1.5%
Uppercase Letter 13
 
1.0%
Space Separator 9
 
0.7%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Decimal Number 4
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 112
 
9.0%
악 54
 
4.3%
극 45
 
3.6%
무 38
 
3.0%
가 29
 
2.3%
이 24
 
1.9%
스 22
 
1.8%
회 18
 
1.4%
인 17
 
1.4%
장 17
 
1.4%
Other values (280) 871
69.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
15.8%
c 2
10.5%
m 2
10.5%
n 2
10.5%
i 2
10.5%
a 2
10.5%
t 1
 
5.3%
u 1
 
5.3%
s 1
 
5.3%
y 1
 
5.3%
Other values (2) 2
10.5%
Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
L 1
 
7.7%
C 1
 
7.7%
E 1
 
7.7%
B 1
 
7.7%
M 1
 
7.7%
S 1
 
7.7%
Q 1
 
7.7%
U 1
 
7.7%
T 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1246
95.4%
Latin 32
 
2.5%
Common 27
 
2.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 112
 
9.0%
악 54
 
4.3%
극 45
 
3.6%
무 38
 
3.0%
가 29
 
2.3%
이 24
 
1.9%
스 22
 
1.8%
회 18
 
1.4%
인 17
 
1.4%
장 17
 
1.4%
Other values (279) 870
69.8%
Latin
ValueCountFrequency (%)
O 3
 
9.4%
o 3
 
9.4%
c 2
 
6.2%
m 2
 
6.2%
n 2
 
6.2%
i 2
 
6.2%
a 2
 
6.2%
t 1
 
3.1%
u 1
 
3.1%
L 1
 
3.1%
Other values (13) 13
40.6%
Common
ValueCountFrequency (%)
9
33.3%
( 6
22.2%
) 6
22.2%
' 2
 
7.4%
2 2
 
7.4%
5 1
 
3.7%
0 1
 
3.7%
Han
ValueCountFrequency (%)
反 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1246
95.4%
ASCII 59
 
4.5%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 112
 
9.0%
악 54
 
4.3%
극 45
 
3.6%
무 38
 
3.0%
가 29
 
2.3%
이 24
 
1.9%
스 22
 
1.8%
회 18
 
1.4%
인 17
 
1.4%
장 17
 
1.4%
Other values (279) 870
69.8%
ASCII
ValueCountFrequency (%)
9
15.3%
( 6
 
10.2%
) 6
 
10.2%
O 3
 
5.1%
o 3
 
5.1%
' 2
 
3.4%
c 2
 
3.4%
m 2
 
3.4%
n 2
 
3.4%
i 2
 
3.4%
Other values (20) 22
37.3%
CJK
ValueCountFrequency (%)
反 1
100.0%

최종수정일자
Date

Distinct209
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2003-04-17 19:25:54
Maximum2023-09-07 14:25:29
2024-05-11T14:27:41.260267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:41.502704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
U
206 
I
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 206
96.3%
I 8
 
3.7%

Length

2024-05-11T14:27:41.717143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:41.902234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 206
96.3%
i 8
 
3.7%

데이터갱신일자
Date

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-09 00:09:00
2024-05-11T14:27:42.064836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:42.351981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)87.7%
Missing43
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean192947.95
Minimum190375.11
Maximum195240.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:27:42.683732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190375.11
5-th percentile191764.62
Q1192395.63
median192912.86
Q3193702.88
95-th percentile194099.47
Maximum195240.58
Range4865.4732
Interquartile range (IQR)1307.2495

Descriptive statistics

Standard deviation792.6887
Coefficient of variation (CV)0.0041083032
Kurtosis-0.3338897
Mean192947.95
Median Absolute Deviation (MAD)603.08112
Skewness-0.077070318
Sum32994100
Variance628355.38
MonotonicityNot monotonic
2024-05-11T14:27:43.084157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193735.91191965 4
 
1.9%
193780.021994218 3
 
1.4%
192726.559262298 2
 
0.9%
192476.272038412 2
 
0.9%
193265.431896459 2
 
0.9%
193719.116371374 2
 
0.9%
191727.078396933 2
 
0.9%
192745.683250565 2
 
0.9%
193600.888431741 2
 
0.9%
193895.756002634 2
 
0.9%
Other values (140) 148
69.2%
(Missing) 43
 
20.1%
ValueCountFrequency (%)
190375.107369455 1
0.5%
191407.952950094 1
0.5%
191419.564713126 1
0.5%
191527.342115979 1
0.5%
191595.993000575 1
0.5%
191670.595387131 1
0.5%
191687.317493031 1
0.5%
191727.078396933 2
0.9%
191802.158229578 1
0.5%
191807.884899956 1
0.5%
ValueCountFrequency (%)
195240.580598172 1
0.5%
194462.400203157 1
0.5%
194321.122613003 1
0.5%
194306.443330694 1
0.5%
194250.489095813 1
0.5%
194242.054112401 1
0.5%
194156.645300921 1
0.5%
194117.12014321 1
0.5%
194114.164959446 1
0.5%
194084.783478913 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)87.7%
Missing43
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean456186.66
Minimum453022.7
Maximum460560.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:27:43.433991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453022.7
5-th percentile454221.35
Q1455180.43
median455967.11
Q3457212.98
95-th percentile458940.33
Maximum460560.47
Range7537.7682
Interquartile range (IQR)2032.5547

Descriptive statistics

Standard deviation1409.6759
Coefficient of variation (CV)0.0030901295
Kurtosis-0.044784505
Mean456186.66
Median Absolute Deviation (MAD)895.39897
Skewness0.49876153
Sum78007919
Variance1987186.1
MonotonicityNot monotonic
2024-05-11T14:27:43.696064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456421.405234256 4
 
1.9%
455491.212588847 3
 
1.4%
455568.264999097 2
 
0.9%
456135.780634567 2
 
0.9%
455539.681080905 2
 
0.9%
456695.986064179 2
 
0.9%
455071.715663898 2
 
0.9%
454693.062739803 2
 
0.9%
456957.233580498 2
 
0.9%
457415.982185574 2
 
0.9%
Other values (140) 148
69.2%
(Missing) 43
 
20.1%
ValueCountFrequency (%)
453022.69692379 1
0.5%
453540.718129805 1
0.5%
453642.391604648 1
0.5%
453830.677111346 1
0.5%
453834.100970585 1
0.5%
453882.945895811 1
0.5%
453921.365612452 1
0.5%
453960.0816923 1
0.5%
454217.157558823 1
0.5%
454225.547397 1
0.5%
ValueCountFrequency (%)
460560.465121998 1
0.5%
459646.827222065 1
0.5%
459453.39521159 1
0.5%
459241.219228 1
0.5%
459197.792403 1
0.5%
459149.321301961 1
0.5%
459047.976920242 1
0.5%
459038.751334872 1
0.5%
458997.319310775 1
0.5%
458883.348945207 1
0.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
204 
공연장
 
10

Length

Max length4
Median length4
Mean length3.953271
Min length3

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> 204
95.3%
공연장 10
 
4.7%

Length

2024-05-11T14:27:43.942278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:44.120852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
95.3%
공연장 10
 
4.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
204 
공연장
 
10

Length

Max length4
Median length4
Mean length3.953271
Min length3

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> 204
95.3%
공연장 10
 
4.7%

Length

2024-05-11T14:27:44.321825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:44.504987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
95.3%
공연장 10
 
4.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
211 
0
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.9579439
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 211
98.6%
0 2
 
0.9%
2 1
 
0.5%

Length

2024-05-11T14:27:44.720087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:44.915540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 211
98.6%
0 2
 
0.9%
2 1
 
0.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing213
Missing (%)99.5%
Memory size1.8 KiB
2024-05-11T14:27:45.109385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row아파트지역
ValueCountFrequency (%)
아파트지역 1
100.0%
2024-05-11T14:27:45.552405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing213
Missing (%)99.5%
Memory size1.8 KiB
2024-05-11T14:27:45.819260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유통시설
ValueCountFrequency (%)
유통시설 1
100.0%
2024-05-11T14:27:46.186038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
211 
0
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.9579439
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 211
98.6%
0 2
 
0.9%
3 1
 
0.5%

Length

2024-05-11T14:27:46.422486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:46.599932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 211
98.6%
0 2
 
0.9%
3 1
 
0.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
212 
0
 
2

Length

Max length4
Median length4
Mean length3.9719626
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> 212
99.1%
0 2
 
0.9%

Length

2024-05-11T14:27:46.792439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:46.964447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
99.1%
0 2
 
0.9%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
206 
0
 
8

Length

Max length4
Median length4
Mean length3.8878505
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> 206
96.3%
0 8
 
3.7%

Length

2024-05-11T14:27:47.166812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:47.391881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
96.3%
0 8
 
3.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
206 
0
 
8

Length

Max length4
Median length4
Mean length3.8878505
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> 206
96.3%
0 8
 
3.7%

Length

2024-05-11T14:27:47.699316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:47.948874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
96.3%
0 8
 
3.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03110000CDFE123000197400000119740130<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122924서울특별시 은평구 응암동 585-48서울특별시 은평구 불광천길 392 (응암동)<NA>김인배가무단2022-04-13 11:19:42U2021-12-03 23:05:00.0<NA>192395.633819454363.99696<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFE123000197400000219740130<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122924서울특별시 은평구 응암동 585-48서울특별시 은평구 불광천길 392 (응암동)<NA>김인배가무단2022-04-13 11:20:29U2021-12-03 23:05:00.0<NA>192395.633819454363.99696<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFE123000197400000319740617<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122825서울특별시 은평구 녹번동 19-69서울특별시 은평구 통일로54길 7 (녹번동)122825돌하르망악단2022-04-13 11:20:53U2021-12-03 23:05:00.0<NA>194250.489096455776.73891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFE123000197400000419740809<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122831서울특별시 은평구 녹번동 118-27서울특별시 은평구 녹번로9길 12-1 (녹번동)<NA>민병윤과2외악단2022-04-13 11:21:28U2021-12-03 23:05:00.0<NA>193783.843931456124.954539<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFE123000197700000119770512<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122922서울특별시 은평구 응암동 530-3<NA><NA>못난이가족2022-04-13 11:22:02U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFE123000197700000219770819<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122947서울특별시 은평구 대조동 85-6<NA><NA>김용출악단2022-04-13 11:22:31U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFE123000197800000119780130<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122905서울특별시 은평구 응암동 36-23서울특별시 은평구 은평로20길 32-1 (응암동)<NA>이종식악단2022-04-13 11:26:17U2021-12-03 23:05:00.0<NA>194039.359263455128.373645<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFE123000197900000119790325<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122908서울특별시 은평구 응암동 102-10서울특별시 은평구 응암로34나길 15-4 (응암동)<NA>김태웅악단2022-04-13 11:27:03U2021-12-03 23:05:00.0<NA>193181.009848455206.485974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFE123000197900000219790423<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122858서울특별시 은평구 불광동 280-465<NA><NA>윤광희악단2022-04-13 11:27:34U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFE123000198000000119800213<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA><NA><NA>122919서울특별시 은평구 응암동 348-6<NA><NA>김원혁악단2022-04-13 11:28:08U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2043110000CDFE123000199800001819981230<NA>3폐업3폐업19991122<NA><NA><NA>382-1005<NA>122899서울특별시 은평구 역촌동 37-40번지서울특별시 은평구 진흥로1길 21 (역촌동)<NA>비디오프라자2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192726.559262455568.264999공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
2053110000CDFE123000199900000119990114<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA>353-7485<NA><NA>185-1 롤링스톤즈<NA><NA>미스터소울2022-04-13 17:52:35U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2063110000CDFE123000199900000219990203<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA>356-3328<NA>122823서울특별시 은평구 구산동 199-2서울특별시 은평구 서오릉로 183 (구산동)<NA>맥2022-04-13 17:53:00U2021-12-03 23:05:00.0<NA>192250.47759456749.24149<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2073110000CDFE123000199900000319990222<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA>2260-3420<NA><NA>26-0<NA><NA>손재현무용단2022-04-13 17:53:13U2021-12-03 23:05:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2083110000CDFE123000199900000419990322<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA>385-8301<NA>122920서울특별시 은평구 응암동 427-113서울특별시 은평구 응암로 254 (응암동)<NA>한복시네마극장2022-04-13 17:53:27U2021-12-03 23:05:00.0<NA>192745.683251454693.06274<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2093110000CDFE123000199900000519990511<NA>4취소/말소/만료/정지/중지35직권말소20220413<NA><NA><NA>376-4596<NA>122876서울특별시 은평구 수색동 336-5서울특별시 은평구 수색로20길 10-1 (수색동)<NA>이동국(인형극)2022-04-13 17:53:40U2021-12-03 23:05:00.0<NA>190375.107369453642.391605<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2103110000CDFE123000200200000120020126<NA>3폐업3폐업20090331<NA><NA><NA>355-3775<NA>122829서울특별시 은평구 녹번동 79-2번지서울특별시 은평구 은평로 203 (녹번동)<NA>도원극장2014-09-01 13:56:16I2018-08-31 23:59:59.0<NA>193780.021994455491.212589공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
2113110000CDFE12300020090000012009-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-351-3736<NA><NA>서울특별시 은평구 녹번동 85-4서울특별시 은평구 녹번로 16 (녹번동, 은평문화예술회관)3381은평문화예술회관 공연장2023-09-07 14:25:29U2022-12-09 00:09:00.0<NA>193604.709212455734.902327<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2123110000CDFE123000201600000120160525<NA>3폐업3폐업20190425<NA><NA><NA>02-350-7942<NA><NA>서울특별시 은평구 대조동 240번지 NC백화점 8층서울특별시 은평구 불광로 20, 8층 (대조동, NC백화점)3397괜찮은홀 불광점2019-04-25 14:11:46U2019-04-27 02:40:00.0<NA>193661.732383456379.193899공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2133110000CDFE123000201600000220161226<NA>3폐업3폐업20200531<NA><NA><NA>69162111<NA><NA>서울특별시 은평구 진관동 63번지서울특별시 은평구 통일로 1050 (진관동, 롯데몰은평점)3306원더 스테이지2020-05-28 09:23:09U2020-05-30 02:40:00.0<NA>192798.659161459646.827222공연장공연장<NA>2아파트지역<NA><NA>유통시설3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>