Overview

Dataset statistics

Number of variables60
Number of observations21
Missing cells571
Missing cells (%)45.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory534.3 B

Variable types

Categorical21
Text5
DateTime3
Numeric6
Unsupported25

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-17053/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (72.4%)Imbalance
소재지우편번호 is highly imbalanced (72.4%)Imbalance
총층수 is highly imbalanced (72.4%)Imbalance
지상층수 is highly imbalanced (65.4%)Imbalance
지하층수 is highly imbalanced (72.4%)Imbalance
객실수 is highly imbalanced (72.4%)Imbalance
건축연면적 is highly imbalanced (72.4%)Imbalance
선박총톤수 is highly imbalanced (72.4%)Imbalance
선박척수 is highly imbalanced (72.4%)Imbalance
무대면적 is highly imbalanced (72.4%)Imbalance
좌석수 is highly imbalanced (72.4%)Imbalance
회의실별동시수용인원 is highly imbalanced (72.4%)Imbalance
자본금 is highly imbalanced (72.4%)Imbalance
폐업일자 has 7 (33.3%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 9 (42.9%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
문화사업자구분명 has 21 (100.0%) missing valuesMissing
지역구분명 has 21 (100.0%) missing valuesMissing
주변환경명 has 21 (100.0%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
보험기관명 has 21 (100.0%) missing valuesMissing
건물용도명 has 21 (100.0%) missing valuesMissing
영문상호명 has 21 (100.0%) missing valuesMissing
영문상호주소 has 21 (100.0%) missing valuesMissing
선박제원 has 21 (100.0%) missing valuesMissing
기념품종류 has 21 (100.0%) missing valuesMissing
시설면적 has 15 (71.4%) missing valuesMissing
놀이기구수내역 has 21 (100.0%) missing valuesMissing
방송시설유무 has 21 (100.0%) missing valuesMissing
발전시설유무 has 21 (100.0%) missing valuesMissing
의무실유무 has 21 (100.0%) missing valuesMissing
안내소유무 has 21 (100.0%) missing valuesMissing
기획여행보험시작일자 has 21 (100.0%) missing valuesMissing
기획여행보험종료일자 has 21 (100.0%) missing valuesMissing
보험시작일자 has 21 (100.0%) missing valuesMissing
보험종료일자 has 21 (100.0%) missing valuesMissing
부대시설내역 has 21 (100.0%) missing valuesMissing
시설규모 has 15 (71.4%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 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
주변환경명 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
건물용도명 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
선박제원 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
놀이기구수내역 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
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 02:49:53.788171
Analysis finished2024-05-11 02:49:54.756979
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3110000
21 

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 21
100.0%

Length

2024-05-11T02:49:54.942044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:55.250711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:49:55.618956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFI5272002011000001
2nd rowCDFI5272002015000001
3rd rowCDFI5272002015000002
4th rowCDFI5272002017000001
5th rowCDFI5272002017000002
ValueCountFrequency (%)
cdfi5272002011000001 1
 
4.8%
cdfi5272002018000002 1
 
4.8%
cdfi5272002020000003 1
 
4.8%
cdfi5272002020000002 1
 
4.8%
cdfi5272002020000001 1
 
4.8%
cdfi5272002018000007 1
 
4.8%
cdfi5272002018000006 1
 
4.8%
cdfi5272002018000005 1
 
4.8%
cdfi5272002018000004 1
 
4.8%
cdfi5272002018000003 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T02:49:56.253237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
40.7%
2 72
17.1%
7 30
 
7.1%
5 25
 
6.0%
1 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
I 21
 
5.0%
8 7
 
1.7%
Other values (3) 7
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
50.9%
2 72
21.4%
7 30
 
8.9%
5 25
 
7.4%
1 24
 
7.1%
8 7
 
2.1%
3 3
 
0.9%
4 2
 
0.6%
6 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
I 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
50.9%
2 72
21.4%
7 30
 
8.9%
5 25
 
7.4%
1 24
 
7.1%
8 7
 
2.1%
3 3
 
0.9%
4 2
 
0.6%
6 2
 
0.6%
Latin
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
I 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
40.7%
2 72
17.1%
7 30
 
7.1%
5 25
 
6.0%
1 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
I 21
 
5.0%
8 7
 
1.7%
Other values (3) 7
 
1.7%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2011-07-18 00:00:00
Maximum2022-08-25 00:00:00
2024-05-11T02:49:56.629545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:49:56.976967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
20171031
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
20171031 1
 
4.8%

Length

2024-05-11T02:49:57.408849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:57.763707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
20171031 1
 
4.8%

영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
14 
1
6 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 14
66.7%
1 6
28.6%
4 1
 
4.8%

Length

2024-05-11T02:49:58.090551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:58.405991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
66.7%
1 6
28.6%
4 1
 
4.8%

영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
14 
영업/정상
6 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.4285714
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 14
66.7%
영업/정상 6
28.6%
취소/말소/만료/정지/중지 1
 
4.8%

Length

2024-05-11T02:49:58.720697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:59.019992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
66.7%
영업/정상 6
28.6%
취소/말소/만료/정지/중지 1
 
4.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
3
14 
13
6 
33
 
1

Length

Max length2
Median length1
Mean length1.3333333
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 14
66.7%
13 6
28.6%
33 1
 
4.8%

Length

2024-05-11T02:49:59.354077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:59.647513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
66.7%
13 6
28.6%
33 1
 
4.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
폐업
14 
영업중
6 
지정취소
 
1

Length

Max length4
Median length2
Mean length2.3809524
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
66.7%
영업중 6
28.6%
지정취소 1
 
4.8%

Length

2024-05-11T02:49:59.965461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:00.310561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
66.7%
영업중 6
28.6%
지정취소 1
 
4.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean20195087
Minimum20120511
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:00.624928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120511
5-th percentile20153278
Q120191210
median20200680
Q320200993
95-th percentile20220700
Maximum20221230
Range100719
Interquartile range (IQR)9783

Descriptive statistics

Standard deviation25339.643
Coefficient of variation (CV)0.001254743
Kurtosis5.8247014
Mean20195087
Median Absolute Deviation (MAD)9462.5
Skewness-2.0836229
Sum2.8273121 × 108
Variance6.4209751 × 108
MonotonicityNot monotonic
2024-05-11T02:50:00.985566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20120511 1
 
4.8%
20200831 1
 
4.8%
20200330 1
 
4.8%
20170922 1
 
4.8%
20191231 1
 
4.8%
20200828 1
 
4.8%
20220331 1
 
4.8%
20200915 1
 
4.8%
20221230 1
 
4.8%
20200531 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 7
33.3%
ValueCountFrequency (%)
20120511 1
4.8%
20170922 1
4.8%
20190918 1
4.8%
20191203 1
4.8%
20191231 1
4.8%
20200330 1
4.8%
20200531 1
4.8%
20200828 1
4.8%
20200831 1
4.8%
20200915 1
4.8%
ValueCountFrequency (%)
20221230 1
4.8%
20220414 1
4.8%
20220331 1
4.8%
20201019 1
4.8%
20200915 1
4.8%
20200831 1
4.8%
20200828 1
4.8%
20200531 1
4.8%
20200330 1
4.8%
20191231 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Memory size300.0 B
2024-05-11T02:50:01.409708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.5
Min length9

Characters and Unicode

Total characters138
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

Unique12 ?
Unique (%)100.0%

Sample

1st row02-352-2454
2nd row070-8286-8200
3rd row02-353-6545
4th row02-389-1931
5th row02-6957-5980
ValueCountFrequency (%)
02-352-2454 1
8.3%
070-8286-8200 1
8.3%
02-353-6545 1
8.3%
02-389-1931 1
8.3%
02-6957-5980 1
8.3%
023526182 1
8.3%
02-6975-5341 1
8.3%
02-382-1008 1
8.3%
02-6160-1566 1
8.3%
02-388-6561 1
8.3%
Other values (2) 2
16.7%
2024-05-11T02:50:02.099649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21
15.2%
- 21
15.2%
2 20
14.5%
8 15
10.9%
5 14
10.1%
6 13
9.4%
3 10
7.2%
1 9
6.5%
9 6
 
4.3%
4 4
 
2.9%
Other values (2) 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
84.1%
Dash Punctuation 21
 
15.2%
Close Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
18.1%
2 20
17.2%
8 15
12.9%
5 14
12.1%
6 13
11.2%
3 10
8.6%
1 9
7.8%
9 6
 
5.2%
4 4
 
3.4%
7 4
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21
15.2%
- 21
15.2%
2 20
14.5%
8 15
10.9%
5 14
10.1%
6 13
9.4%
3 10
7.2%
1 9
6.5%
9 6
 
4.3%
4 4
 
2.9%
Other values (2) 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21
15.2%
- 21
15.2%
2 20
14.5%
8 15
10.9%
5 14
10.1%
6 13
9.4%
3 10
7.2%
1 9
6.5%
9 6
 
4.3%
4 4
 
2.9%
Other values (2) 5
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
122809
 
1

Length

Max length6
Median length4
Mean length4.0952381
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row122809
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
122809 1
 
4.8%

Length

2024-05-11T02:50:02.363469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:02.573643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
122809 1
 
4.8%

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:50:02.864769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length24.428571
Min length18

Characters and Unicode

Total characters513
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 갈현동 396-11번지 3층
2nd row서울특별시 은평구 진관동 100-6 2층
3rd row서울특별시 은평구 응암동 84-7번지 2층
4th row서울특별시 은평구 불광동 311-13번지 6003호, 6005호
5th row서울특별시 은평구 갈현동 464-4번지 6층
ValueCountFrequency (%)
서울특별시 21
19.6%
은평구 21
19.6%
응암동 6
 
5.6%
진관동 5
 
4.7%
갈현동 3
 
2.8%
은평이마트 3
 
2.8%
역촌동 2
 
1.9%
신사동 2
 
1.9%
은평점 2
 
1.9%
롯데몰 2
 
1.9%
Other values (33) 40
37.4%
2024-05-11T02:50:03.600148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
19.7%
은 26
 
5.1%
평 26
 
5.1%
서 21
 
4.1%
특 21
 
4.1%
별 21
 
4.1%
시 21
 
4.1%
구 21
 
4.1%
울 21
 
4.1%
동 21
 
4.1%
Other values (52) 213
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
59.5%
Space Separator 101
 
19.7%
Decimal Number 86
 
16.8%
Dash Punctuation 16
 
3.1%
Uppercase Letter 3
 
0.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 26
 
8.5%
평 26
 
8.5%
서 21
 
6.9%
특 21
 
6.9%
별 21
 
6.9%
시 21
 
6.9%
구 21
 
6.9%
울 21
 
6.9%
동 21
 
6.9%
지 10
 
3.3%
Other values (36) 96
31.5%
Decimal Number
ValueCountFrequency (%)
0 14
16.3%
1 14
16.3%
6 10
11.6%
3 10
11.6%
4 9
10.5%
9 8
9.3%
2 6
7.0%
8 6
7.0%
7 5
 
5.8%
5 4
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
R 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
59.5%
Common 205
40.0%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 26
 
8.5%
평 26
 
8.5%
서 21
 
6.9%
특 21
 
6.9%
별 21
 
6.9%
시 21
 
6.9%
구 21
 
6.9%
울 21
 
6.9%
동 21
 
6.9%
지 10
 
3.3%
Other values (36) 96
31.5%
Common
ValueCountFrequency (%)
101
49.3%
- 16
 
7.8%
0 14
 
6.8%
1 14
 
6.8%
6 10
 
4.9%
3 10
 
4.9%
4 9
 
4.4%
9 8
 
3.9%
2 6
 
2.9%
8 6
 
2.9%
Other values (3) 11
 
5.4%
Latin
ValueCountFrequency (%)
I 1
33.3%
R 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
59.5%
ASCII 208
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
48.6%
- 16
 
7.7%
0 14
 
6.7%
1 14
 
6.7%
6 10
 
4.8%
3 10
 
4.8%
4 9
 
4.3%
9 8
 
3.8%
2 6
 
2.9%
8 6
 
2.9%
Other values (6) 14
 
6.7%
Hangul
ValueCountFrequency (%)
은 26
 
8.5%
평 26
 
8.5%
서 21
 
6.9%
특 21
 
6.9%
별 21
 
6.9%
시 21
 
6.9%
구 21
 
6.9%
울 21
 
6.9%
동 21
 
6.9%
지 10
 
3.3%
Other values (36) 96
31.5%

도로명주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:50:04.115436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length33.380952
Min length25

Characters and Unicode

Total characters701
Distinct characters81
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

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 은평구 통일로 855-4 (갈현동)
2nd row서울특별시 은평구 진관2로 12, 2층 (진관동, 메이플카운티2차)
3rd row서울특별시 은평구 은평로 173 (응암동, 2층)
4th row서울특별시 은평구 통일로 856, 6003,6005호 (불광동, 메트로타워)
5th row서울특별시 은평구 연서로 161, 6층 (갈현동, (주)신한방갈현동빌딩)
ValueCountFrequency (%)
서울특별시 21
 
14.9%
은평구 21
 
14.9%
응암동 6
 
4.3%
은평로 5
 
3.5%
통일로 5
 
3.5%
진관동 5
 
3.5%
111 4
 
2.8%
은평이마트 4
 
2.8%
3층 4
 
2.8%
2층 3
 
2.1%
Other values (49) 63
44.7%
2024-05-11T02:50:05.036153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
17.1%
은 33
 
4.7%
평 33
 
4.7%
, 31
 
4.4%
1 27
 
3.9%
서 24
 
3.4%
로 22
 
3.1%
) 22
 
3.1%
( 22
 
3.1%
동 22
 
3.1%
Other values (71) 345
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
56.1%
Space Separator 120
 
17.1%
Decimal Number 108
 
15.4%
Other Punctuation 31
 
4.4%
Close Punctuation 22
 
3.1%
Open Punctuation 22
 
3.1%
Uppercase Letter 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 33
 
8.4%
평 33
 
8.4%
서 24
 
6.1%
로 22
 
5.6%
동 22
 
5.6%
구 21
 
5.3%
별 21
 
5.3%
시 21
 
5.3%
특 21
 
5.3%
울 21
 
5.3%
Other values (53) 154
39.2%
Decimal Number
ValueCountFrequency (%)
1 27
25.0%
0 16
14.8%
3 14
13.0%
2 13
12.0%
4 11
10.2%
6 8
 
7.4%
5 8
 
7.4%
8 5
 
4.6%
9 4
 
3.7%
7 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
N 1
33.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
56.1%
Common 305
43.5%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 33
 
8.4%
평 33
 
8.4%
서 24
 
6.1%
로 22
 
5.6%
동 22
 
5.6%
구 21
 
5.3%
별 21
 
5.3%
시 21
 
5.3%
특 21
 
5.3%
울 21
 
5.3%
Other values (53) 154
39.2%
Common
ValueCountFrequency (%)
120
39.3%
, 31
 
10.2%
1 27
 
8.9%
) 22
 
7.2%
( 22
 
7.2%
0 16
 
5.2%
3 14
 
4.6%
2 13
 
4.3%
4 11
 
3.6%
6 8
 
2.6%
Other values (5) 21
 
6.9%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
56.1%
ASCII 308
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.0%
, 31
 
10.1%
1 27
 
8.8%
) 22
 
7.1%
( 22
 
7.1%
0 16
 
5.2%
3 14
 
4.5%
2 13
 
4.2%
4 11
 
3.6%
6 8
 
2.6%
Other values (8) 24
 
7.8%
Hangul
ValueCountFrequency (%)
은 33
 
8.4%
평 33
 
8.4%
서 24
 
6.1%
로 22
 
5.6%
동 22
 
5.6%
구 21
 
5.3%
별 21
 
5.3%
시 21
 
5.3%
특 21
 
5.3%
울 21
 
5.3%
Other values (53) 154
39.2%

도로명우편번호
Real number (ℝ)

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9072.7619
Minimum3306
Maximum122809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:05.338127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3306
5-th percentile3306
Q13329
median3405
Q33460
95-th percentile3461
Maximum122809
Range119503
Interquartile range (IQR)131

Descriptive statistics

Standard deviation26060.321
Coefficient of variation (CV)2.8723691
Kurtosis20.99972
Mean9072.7619
Median Absolute Deviation (MAD)56
Skewness4.5825319
Sum190528
Variance6.7914034 × 108
MonotonicityNot monotonic
2024-05-11T02:50:05.650440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3306 4
19.0%
3461 4
19.0%
3460 2
9.5%
122809 1
 
4.8%
3311 1
 
4.8%
3345 1
 
4.8%
3336 1
 
4.8%
3405 1
 
4.8%
3397 1
 
4.8%
3422 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
3306 4
19.0%
3311 1
 
4.8%
3329 1
 
4.8%
3336 1
 
4.8%
3343 1
 
4.8%
3345 1
 
4.8%
3397 1
 
4.8%
3405 1
 
4.8%
3420 1
 
4.8%
3422 1
 
4.8%
ValueCountFrequency (%)
122809 1
 
4.8%
3461 4
19.0%
3460 2
9.5%
3423 1
 
4.8%
3422 1
 
4.8%
3420 1
 
4.8%
3405 1
 
4.8%
3397 1
 
4.8%
3345 1
 
4.8%
3343 1
 
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T02:50:06.031657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6666667
Min length4

Characters and Unicode

Total characters140
Distinct characters74
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row은평놀이랜드
2nd row타요키즈카페 은평뉴타운점
3rd row키즈놀이터
4th row리틀채플린
5th row키즈팡팡 구산점
ValueCountFrequency (%)
방방 2
 
6.9%
은평놀이랜드 1
 
3.4%
타요키즈카페 1
 
3.4%
케이커머스 1
 
3.4%
주식회사 1
 
3.4%
gamezone 1
 
3.4%
kids 1
 
3.4%
스카이 1
 
3.4%
은평점 1
 
3.4%
스마트랩 1
 
3.4%
Other values (18) 18
62.1%
2024-05-11T02:50:06.804481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.7%
키 8
 
5.7%
즈 8
 
5.7%
이 7
 
5.0%
스 6
 
4.3%
방 6
 
4.3%
팡 4
 
2.9%
카 4
 
2.9%
주 3
 
2.1%
평 3
 
2.1%
Other values (64) 83
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
84.3%
Uppercase Letter 12
 
8.6%
Space Separator 8
 
5.7%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
키 8
 
6.8%
즈 8
 
6.8%
이 7
 
5.9%
스 6
 
5.1%
방 6
 
5.1%
팡 4
 
3.4%
카 4
 
3.4%
주 3
 
2.5%
평 3
 
2.5%
플 3
 
2.5%
Other values (50) 66
55.9%
Uppercase Letter
ValueCountFrequency (%)
E 2
16.7%
K 1
8.3%
I 1
8.3%
Z 1
8.3%
D 1
8.3%
S 1
8.3%
G 1
8.3%
A 1
8.3%
M 1
8.3%
O 1
8.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
84.3%
Latin 12
 
8.6%
Common 10
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 8
 
6.8%
즈 8
 
6.8%
이 7
 
5.9%
스 6
 
5.1%
방 6
 
5.1%
팡 4
 
3.4%
카 4
 
3.4%
주 3
 
2.5%
평 3
 
2.5%
플 3
 
2.5%
Other values (50) 66
55.9%
Latin
ValueCountFrequency (%)
E 2
16.7%
K 1
8.3%
I 1
8.3%
Z 1
8.3%
D 1
8.3%
S 1
8.3%
G 1
8.3%
A 1
8.3%
M 1
8.3%
O 1
8.3%
Common
ValueCountFrequency (%)
8
80.0%
( 1
 
10.0%
) 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
84.3%
ASCII 22
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
36.4%
E 2
 
9.1%
K 1
 
4.5%
I 1
 
4.5%
Z 1
 
4.5%
D 1
 
4.5%
S 1
 
4.5%
G 1
 
4.5%
A 1
 
4.5%
M 1
 
4.5%
Other values (4) 4
18.2%
Hangul
ValueCountFrequency (%)
키 8
 
6.8%
즈 8
 
6.8%
이 7
 
5.9%
스 6
 
5.1%
방 6
 
5.1%
팡 4
 
3.4%
카 4
 
3.4%
주 3
 
2.5%
평 3
 
2.5%
플 3
 
2.5%
Other values (50) 66
55.9%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2012-05-14 10:01:24
Maximum2023-03-30 17:51:35
2024-05-11T02:50:07.108878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:07.313545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
U
15 
I
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
71.4%
I 6
 
28.6%

Length

2024-05-11T02:50:07.537036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:07.794823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
71.4%
i 6
 
28.6%

데이터갱신일자
Date

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-04 00:01:00
2024-05-11T02:50:08.117977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:50:08.413791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192850.55
Minimum192023.77
Maximum193661.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:08.683807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192023.77
5-th percentile192026.41
Q1192771.37
median192882.84
Q3192902.56
95-th percentile193602.73
Maximum193661.73
Range1637.9645
Interquartile range (IQR)131.19148

Descriptive statistics

Standard deviation420.24268
Coefficient of variation (CV)0.0021791106
Kurtosis0.7608964
Mean192850.55
Median Absolute Deviation (MAD)111.47048
Skewness-0.10111267
Sum4049861.6
Variance176603.91
MonotonicityNot monotonic
2024-05-11T02:50:08.894546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
192882.837727443 4
19.0%
192798.659161134 3
14.3%
192026.412014375 1
 
4.8%
192247.64853033 1
 
4.8%
192831.901570697 1
 
4.8%
192023.767867284 1
 
4.8%
193602.731685526 1
 
4.8%
192771.367245921 1
 
4.8%
193141.160574821 1
 
4.8%
192900.782483613 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
192023.767867284 1
 
4.8%
192026.412014375 1
 
4.8%
192247.64853033 1
 
4.8%
192609.292631159 1
 
4.8%
192747.460555813 1
 
4.8%
192771.367245921 1
 
4.8%
192798.659161134 3
14.3%
192831.901570697 1
 
4.8%
192882.837727443 4
19.0%
192900.782483613 1
 
4.8%
ValueCountFrequency (%)
193661.732383169 1
 
4.8%
193602.731685526 1
 
4.8%
193469.29043241 1
 
4.8%
193141.160574821 1
 
4.8%
192998.202204135 1
 
4.8%
192902.558729 1
 
4.8%
192900.782483613 1
 
4.8%
192882.837727443 4
19.0%
192831.901570697 1
 
4.8%
192798.659161134 3
14.3%

좌표정보(Y)
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456923.55
Minimum455324.35
Maximum459646.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:09.114296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum455324.35
5-th percentile455340.54
Q1455476.55
median456379.19
Q3458138.26
95-th percentile459646.83
Maximum459646.83
Range4322.4806
Interquartile range (IQR)2661.7113

Descriptive statistics

Standard deviation1685.1176
Coefficient of variation (CV)0.0036879639
Kurtosis-1.3106392
Mean456923.55
Median Absolute Deviation (MAD)1038.6533
Skewness0.57628382
Sum9595394.5
Variance2839621.2
MonotonicityNot monotonic
2024-05-11T02:50:09.344828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
455340.54056388 4
19.0%
459646.827222065 3
14.3%
455494.559012821 1
 
4.8%
455541.699089117 1
 
4.8%
459170.418887077 1
 
4.8%
455324.346591988 1
 
4.8%
458138.257499993 1
 
4.8%
457686.666766178 1
 
4.8%
455476.546199488 1
 
4.8%
457444.185417139 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
455324.346591988 1
 
4.8%
455340.54056388 4
19.0%
455476.546199488 1
 
4.8%
455478.989853719 1
 
4.8%
455494.559012821 1
 
4.8%
455541.699089117 1
 
4.8%
455697.044769414 1
 
4.8%
456379.193899276 1
 
4.8%
456777.586555058 1
 
4.8%
457444.185417139 1
 
4.8%
ValueCountFrequency (%)
459646.827222065 3
14.3%
459170.418887077 1
 
4.8%
459002.386648 1
 
4.8%
458138.257499993 1
 
4.8%
457686.666766178 1
 
4.8%
457479.99522553 1
 
4.8%
457444.185417139 1
 
4.8%
456777.586555058 1
 
4.8%
456379.193899276 1
 
4.8%
455697.044769414 1
 
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
신고유원시설업
15 
<NA>
6 

Length

Max length7
Median length7
Mean length6.1428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 15
71.4%
<NA> 6
 
28.6%

Length

2024-05-11T02:50:09.636479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:09.838638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 15
71.4%
na 6
 
28.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:10.053120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:10.306240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
3
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7142857
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
90.5%
3 1
 
4.8%
0 1
 
4.8%

Length

2024-05-11T02:50:10.628545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:11.035371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
3 1
 
4.8%
0 1
 
4.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:11.673956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:12.248620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:12.620696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:12.978005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:13.353790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:13.703456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:14.171800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:14.506681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:14.813797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:15.129126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:15.425129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:15.639886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:15.843686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:16.148437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:16.496328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:16.831634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

시설면적
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing15
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean9881.9567
Minimum56
Maximum58383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:17.135937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile56.4675
Q184.1425
median175.27
Q3380.1425
95-th percentile43898.333
Maximum58383
Range58327
Interquartile range (IQR)296

Descriptive statistics

Standard deviation23760.985
Coefficient of variation (CV)2.4044818
Kurtosis5.9992512
Mean9881.9567
Median Absolute Deviation (MAD)118.335
Skewness2.4492939
Sum59291.74
Variance5.6458439 × 108
MonotonicityNot monotonic
2024-05-11T02:50:17.475410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
444.33 1
 
4.8%
162.96 1
 
4.8%
56.0 1
 
4.8%
57.87 1
 
4.8%
187.58 1
 
4.8%
58383.0 1
 
4.8%
(Missing) 15
71.4%
ValueCountFrequency (%)
56.0 1
4.8%
57.87 1
4.8%
162.96 1
4.8%
187.58 1
4.8%
444.33 1
4.8%
58383.0 1
4.8%
ValueCountFrequency (%)
58383.0 1
4.8%
444.33 1
4.8%
187.58 1
4.8%
162.96 1
4.8%
57.87 1
4.8%
56.0 1
4.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

놀이시설수
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
15 
1
4 
2
2 

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
71.4%
1 4
 
19.0%
2 2
 
9.5%

Length

2024-05-11T02:50:17.879756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:18.194998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
71.4%
1 4
 
19.0%
2 2
 
9.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T02:50:18.565175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:50:18.895022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing15
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean9882
Minimum56
Maximum58383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T02:50:19.185109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile56.5
Q184.25
median175.5
Q3380
95-th percentile43898.25
Maximum58383
Range58327
Interquartile range (IQR)295.75

Descriptive statistics

Standard deviation23760.962
Coefficient of variation (CV)2.404469
Kurtosis5.9992527
Mean9882
Median Absolute Deviation (MAD)118.5
Skewness2.4492943
Sum59292
Variance5.6458334 × 108
MonotonicityNot monotonic
2024-05-11T02:50:19.566246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
444 1
 
4.8%
163 1
 
4.8%
56 1
 
4.8%
58 1
 
4.8%
188 1
 
4.8%
58383 1
 
4.8%
(Missing) 15
71.4%
ValueCountFrequency (%)
56 1
4.8%
58 1
4.8%
163 1
4.8%
188 1
4.8%
444 1
4.8%
58383 1
4.8%
ValueCountFrequency (%)
58383 1
4.8%
444 1
4.8%
188 1
4.8%
163 1
4.8%
58 1
4.8%
56 1
4.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03110000CDFI527200201100000120110718<NA>3폐업3폐업20120511<NA><NA><NA><NA><NA>122809서울특별시 은평구 갈현동 396-11번지 3층서울특별시 은평구 통일로 855-4 (갈현동)122809은평놀이랜드2012-05-14 10:01:24I2018-08-31 23:59:59.0<NA>192900.782484457444.185417신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFI527200201500000120151106<NA>3폐업3폐업20200831<NA><NA><NA>02-352-2454<NA><NA>서울특별시 은평구 진관동 100-6 2층서울특별시 은평구 진관2로 12, 2층 (진관동, 메이플카운티2차)3311타요키즈카페 은평뉴타운점2020-09-01 08:51:51U2020-09-03 02:40:00.0<NA>192902.558729459002.386648신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFI527200201500000220151130<NA>3폐업3폐업20200330<NA><NA><NA>070-8286-8200<NA><NA>서울특별시 은평구 응암동 84-7번지 2층서울특별시 은평구 은평로 173 (응암동, 2층)3460키즈놀이터2020-03-30 18:42:21U2020-04-01 02:40:00.0<NA>193469.290432455478.989854신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFI527200201700000120170228<NA>3폐업3폐업20170922<NA><NA><NA>02-353-6545<NA><NA>서울특별시 은평구 불광동 311-13번지 6003호, 6005호서울특별시 은평구 통일로 856, 6003,6005호 (불광동, 메트로타워)3345리틀채플린2017-09-22 17:30:15I2018-08-31 23:59:59.0<NA>192998.202204457479.995226신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFI527200201700000220170313<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 464-4번지 6층서울특별시 은평구 연서로 161, 6층 (갈현동, (주)신한방갈현동빌딩)3336키즈팡팡 구산점2018-07-23 13:08:39I2018-08-31 23:59:59.0<NA>192609.292631456777.586555신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444.33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444
53110000CDFI527200201700000320170324<NA>3폐업3폐업20191231<NA><NA><NA>02-389-1931<NA><NA>서울특별시 은평구 역촌동 30-29번지 4층서울특별시 은평구 진흥로1길 34, 4층 (역촌동, 효성빌딩)3405우주팡팡2020-01-13 09:59:08U2020-01-15 02:40:00.0<NA>192747.460556455697.044769신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>162.96<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>163
63110000CDFI527200201700000420170710<NA>3폐업3폐업20200828<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 240 7층서울특별시 은평구 불광로 20, 7층 (대조동, NC백화점)3397키즈정글인2020-09-01 08:51:40U2020-09-03 02:40:00.0<NA>193661.732383456379.193899신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56
73110000CDFI527200201700000520170724201710314취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA>02-6957-5980<NA><NA>서울특별시 은평구 진관동 63번지 1,9층서울특별시 은평구 통일로 1050, 1,9층 (진관동, 롯데몰은평점)3306(주)스포츠포키즈2018-03-12 17:27:43I2018-08-31 23:59:59.0<NA>192798.659161459646.827222신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFI527200201700000620171024<NA>1영업/정상13영업중<NA><NA><NA><NA>023526182<NA><NA>서울특별시 은평구 응암동 90-1번지 8층서울특별시 은평구 은평로 111, 8층 (응암동, 은평이마트)3461애플트리2018-08-23 17:17:29I2018-08-31 23:59:59.0<NA>192882.837727455340.540564신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>57.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>58
93110000CDFI527200201700000720171129<NA>3폐업3폐업20220331<NA><NA><NA>02-6975-5341<NA><NA>서울특별시 은평구 진관동 63 3층 롯데몰 은평점서울특별시 은평구 통일로 1050, 3층 (진관동)3306플레이스케이프2022-03-31 17:10:16U2021-12-04 00:02:00.0<NA>192798.659161459646.827222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
113110000CDFI527200201800000220180503<NA>3폐업3폐업20221230<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 87-1서울특별시 은평구 은평로11길 9, 3층 (응암동)3460키즈필 키즈카페2023-01-02 15:27:09U2022-12-01 00:04:00.0<NA>193141.160575455476.546199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
123110000CDFI527200201800000320180601<NA>3폐업3폐업20200531<NA><NA><NA>02-6160-1566<NA><NA>서울특별시 은평구 갈현동 405-22번지 유진빌딩서울특별시 은평구 통일로83길 6-29, 유진빌딩 2층 (갈현동)3329아이띠네2020-06-08 15:43:40U2020-06-10 02:40:00.0<NA>192771.367246457686.666766신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133110000CDFI527200201800000420180601<NA>3폐업3폐업20190918<NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 90-65번지서울특별시 은평구 연서로41길 3, 지하1층 (불광동)3343꿈꾸는 방방2019-09-18 17:26:22U2019-09-20 02:40:00.0<NA>193602.731686458138.2575신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143110000CDFI527200201800000520180626<NA>3폐업3폐업20201019<NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 8-5서울특별시 은평구 갈현로 24, 302호 (신사동)3423뛰뛰방방2020-10-20 13:30:34U2020-10-22 02:40:00.0<NA>192023.767867455324.346592신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153110000CDFI52720020180000062018-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-6561<NA><NA>서울특별시 은평구 진관동 74 휴먼프라자 I서울특별시 은평구 진관2로 19, 휴먼프라자 I 403,404,405호 (진관동)3306큐리키즈카페2023-03-30 17:51:35U2022-12-04 00:01:00.0<NA>192831.901571459170.418887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163110000CDFI527200201800000720180724<NA>3폐업3폐업20191203<NA><NA><NA>070-5521-2698<NA><NA>서울특별시 은평구 응암동 90-1번지 은평이마트 8층 VR코딩카페코너서울특별시 은평구 은평로 111, 은평이마트 8층 (응암동)3461스마트랩 은평점2019-12-03 16:39:22U2019-12-05 02:40:00.0<NA>192882.837727455340.540564신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173110000CDFI527200202000000120200108<NA>3폐업3폐업20220414<NA><NA><NA>02)6083-2888<NA><NA>서울특별시 은평구 역촌동 81-1서울특별시 은평구 연서로3길 23, 지하1층 (역촌동)3420스카이 방방2022-04-19 13:06:34U2021-12-03 22:01:00.0<NA>192247.64853455541.699089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183110000CDFI527200202000000220200916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 90-1 은평이마트서울특별시 은평구 은평로 111, 은평이마트 6층 (응암동)3461KIDS GAMEZONE2022-10-19 14:55:30U2021-10-30 22:01:00.0<NA>192882.837727455340.540564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193110000CDFI527200202000000320201013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 90-1 은평이마트서울특별시 은평구 은평로 111, 은평이마트 6층 (응암동)3461주식회사 케이커머스2021-08-10 15:58:39U2021-08-12 02:40:00.0<NA>192882.837727455340.540564신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>058383.0<NA>2<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>58383
203110000CDFI527200202200000120220825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 63 롯데몰 은평점서울특별시 은평구 통일로 1050, 롯데몰 은평점 3층 (진관동)3306링커스영배2022-08-25 08:54:43I2021-12-07 22:07:00.0<NA>192798.659161459646.827222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>