Overview

Dataset statistics

Number of variables60
Number of observations57
Missing cells1578
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.2 KiB
Average record size in memory524.3 B

Variable types

Categorical21
Text7
DateTime3
Unsupported21
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17456/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (52.0%)Imbalance
주변환경명 is highly imbalanced (70.3%)Imbalance
건물용도명 is highly imbalanced (60.4%)Imbalance
건축연면적 is highly imbalanced (60.7%)Imbalance
영문상호주소 is highly imbalanced (61.5%)Imbalance
인허가취소일자 has 57 (100.0%) missing valuesMissing
폐업일자 has 45 (78.9%) missing valuesMissing
휴업시작일자 has 57 (100.0%) missing valuesMissing
휴업종료일자 has 57 (100.0%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
전화번호 has 55 (96.5%) missing valuesMissing
소재지면적 has 57 (100.0%) missing valuesMissing
소재지우편번호 has 50 (87.7%) missing valuesMissing
도로명우편번호 has 11 (19.3%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
문화사업자구분명 has 57 (100.0%) missing valuesMissing
제작취급품목내용 has 57 (100.0%) missing valuesMissing
보험기관명 has 57 (100.0%) missing valuesMissing
지상층수 has 43 (75.4%) missing valuesMissing
영문상호명 has 51 (89.5%) missing valuesMissing
선박제원 has 57 (100.0%) missing valuesMissing
기념품종류 has 57 (100.0%) missing valuesMissing
시설면적 has 40 (70.2%) missing valuesMissing
놀이기구수내역 has 57 (100.0%) missing valuesMissing
방송시설유무 has 57 (100.0%) missing valuesMissing
발전시설유무 has 57 (100.0%) missing valuesMissing
의무실유무 has 57 (100.0%) missing valuesMissing
안내소유무 has 57 (100.0%) missing valuesMissing
기획여행보험시작일자 has 57 (100.0%) missing valuesMissing
기획여행보험종료일자 has 57 (100.0%) missing valuesMissing
자본금 has 46 (80.7%) missing valuesMissing
보험시작일자 has 57 (100.0%) missing valuesMissing
보험종료일자 has 57 (100.0%) missing valuesMissing
부대시설내역 has 57 (100.0%) missing valuesMissing
시설규모 has 40 (70.2%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
문화사업자구분명 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
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
지상층수 has 7 (12.3%) zerosZeros
시설면적 has 1 (1.8%) zerosZeros
자본금 has 3 (5.3%) zerosZeros
시설규모 has 1 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:52:05.423408
Analysis finished2024-05-11 05:52:06.819278
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
3040000
57 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 57
100.0%

Length

2024-05-11T05:52:07.059406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:07.358299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 57
100.0%

관리번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T05:52:08.012284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1140
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

Unique57 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000001
2nd rowCDFI2262212023000006
3rd rowCDFI2262212023000003
4th rowCDFI2262212023000002
5th rowCDFI2262212024000006
ValueCountFrequency (%)
cdfi2262212023000001 1
 
1.8%
cdfi2262212021000004 1
 
1.8%
cdfi2262212024000010 1
 
1.8%
cdfi2262212020000003 1
 
1.8%
cdfi2262212022000002 1
 
1.8%
cdfi2262212024000002 1
 
1.8%
cdfi2262212024000001 1
 
1.8%
cdfi2262212024000003 1
 
1.8%
cdfi2262212024000004 1
 
1.8%
cdfi2262212024000009 1
 
1.8%
Other values (47) 47
82.5%
2024-05-11T05:52:09.311725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 340
29.8%
0 336
29.5%
1 105
 
9.2%
6 64
 
5.6%
C 57
 
5.0%
D 57
 
5.0%
F 57
 
5.0%
I 57
 
5.0%
4 24
 
2.1%
3 23
 
2.0%
Other values (4) 20
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
80.0%
Uppercase Letter 228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 340
37.3%
0 336
36.8%
1 105
 
11.5%
6 64
 
7.0%
4 24
 
2.6%
3 23
 
2.5%
9 6
 
0.7%
5 6
 
0.7%
8 5
 
0.5%
7 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 57
25.0%
D 57
25.0%
F 57
25.0%
I 57
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
80.0%
Latin 228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 340
37.3%
0 336
36.8%
1 105
 
11.5%
6 64
 
7.0%
4 24
 
2.6%
3 23
 
2.5%
9 6
 
0.7%
5 6
 
0.7%
8 5
 
0.5%
7 3
 
0.3%
Latin
ValueCountFrequency (%)
C 57
25.0%
D 57
25.0%
F 57
25.0%
I 57
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 340
29.8%
0 336
29.5%
1 105
 
9.2%
6 64
 
5.6%
C 57
 
5.0%
D 57
 
5.0%
F 57
 
5.0%
I 57
 
5.0%
4 24
 
2.1%
3 23
 
2.0%
Other values (4) 20
 
1.8%

인허가일자
Date

Distinct53
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2012-06-14 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T05:52:09.986547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:10.536146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
45 
3
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

Length

2024-05-11T05:52:11.158691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:11.498294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
78.9%
3 12
 
21.1%

영업상태명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업/정상
45 
폐업
12 

Length

Max length5
Median length5
Mean length4.3684211
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 45
78.9%
폐업 12
 
21.1%

Length

2024-05-11T05:52:11.960070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:12.393728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
78.9%
폐업 12
 
21.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
13
45 
3
12 

Length

Max length2
Median length2
Mean length1.7894737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 45
78.9%
3 12
 
21.1%

Length

2024-05-11T05:52:12.791422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:13.131226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 45
78.9%
3 12
 
21.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업중
45 
폐업
12 

Length

Max length3
Median length3
Mean length2.7894737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 45
78.9%
폐업 12
 
21.1%

Length

2024-05-11T05:52:13.535765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:13.885586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 45
78.9%
폐업 12
 
21.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing45
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean20190659
Minimum20161107
Maximum20230129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:14.294656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20161107
5-th percentile20166111
Q120178048
median20190767
Q320200446
95-th percentile20219515
Maximum20230129
Range69022
Interquartile range (IQR)22397.75

Descriptive statistics

Standard deviation19356.586
Coefficient of variation (CV)0.00095869012
Kurtosis0.14275378
Mean20190659
Median Absolute Deviation (MAD)10244
Skewness0.43418085
Sum2.4228791 × 108
Variance3.7467741 × 108
MonotonicityNot monotonic
2024-05-11T05:52:14.713578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20200325 1
 
1.8%
20200301 1
 
1.8%
20190503 1
 
1.8%
20181120 1
 
1.8%
20200810 1
 
1.8%
20161107 1
 
1.8%
20170206 1
 
1.8%
20171228 1
 
1.8%
20180322 1
 
1.8%
20191031 1
 
1.8%
Other values (2) 2
 
3.5%
(Missing) 45
78.9%
ValueCountFrequency (%)
20161107 1
1.8%
20170206 1
1.8%
20171228 1
1.8%
20180322 1
1.8%
20181120 1
1.8%
20190503 1
1.8%
20191031 1
1.8%
20200301 1
1.8%
20200325 1
1.8%
20200810 1
1.8%
ValueCountFrequency (%)
20230129 1
1.8%
20210831 1
1.8%
20200810 1
1.8%
20200325 1
1.8%
20200301 1
1.8%
20191031 1
1.8%
20190503 1
1.8%
20181120 1
1.8%
20180322 1
1.8%
20171228 1
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

전화번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing55
Missing (%)96.5%
Memory size588.0 B
2024-05-11T05:52:15.080875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length11.5
Min length11

Characters and Unicode

Total characters23
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row02)447-8369
2nd row02-2201-9410
ValueCountFrequency (%)
02)447-8369 1
50.0%
02-2201-9410 1
50.0%
2024-05-11T05:52:16.059002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
17.4%
2 4
17.4%
4 3
13.0%
- 3
13.0%
9 2
8.7%
1 2
8.7%
) 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
3 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19
82.6%
Dash Punctuation 3
 
13.0%
Close Punctuation 1
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
21.1%
2 4
21.1%
4 3
15.8%
9 2
10.5%
1 2
10.5%
7 1
 
5.3%
8 1
 
5.3%
3 1
 
5.3%
6 1
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
17.4%
2 4
17.4%
4 3
13.0%
- 3
13.0%
9 2
8.7%
1 2
8.7%
) 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
3 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
17.4%
2 4
17.4%
4 3
13.0%
- 3
13.0%
9 2
8.7%
1 2
8.7%
) 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
3 1
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지우편번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing50
Missing (%)87.7%
Memory size588.0 B
2024-05-11T05:52:16.622219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters49
Distinct characters9
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

Unique7 ?
Unique (%)100.0%

Sample

1st row143-858
2nd row143-875
3rd row143-842
4th row143-210
5th row143-775
ValueCountFrequency (%)
143-858 1
14.3%
143-875 1
14.3%
143-842 1
14.3%
143-210 1
14.3%
143-775 1
14.3%
143-752 1
14.3%
143-833 1
14.3%
2024-05-11T05:52:17.755272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 9
18.4%
1 8
16.3%
4 8
16.3%
- 7
14.3%
8 5
10.2%
5 4
8.2%
7 4
8.2%
2 3
 
6.1%
0 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
85.7%
Dash Punctuation 7
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9
21.4%
1 8
19.0%
4 8
19.0%
8 5
11.9%
5 4
9.5%
7 4
9.5%
2 3
 
7.1%
0 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 9
18.4%
1 8
16.3%
4 8
16.3%
- 7
14.3%
8 5
10.2%
5 4
8.2%
7 4
8.2%
2 3
 
6.1%
0 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 9
18.4%
1 8
16.3%
4 8
16.3%
- 7
14.3%
8 5
10.2%
5 4
8.2%
7 4
8.2%
2 3
 
6.1%
0 1
 
2.0%

지번주소
Text

Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T05:52:19.007206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length23.403509
Min length18

Characters and Unicode

Total characters1334
Distinct characters86
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

Unique46 ?
Unique (%)80.7%

Sample

1st row서울특별시 광진구 자양동 811 광진하나플러스
2nd row서울특별시 광진구 화양동 11-26
3rd row서울특별시 광진구 능동 385-2
4th row서울특별시 광진구 구의동 241-65
5th row서울특별시 광진구 자양동 24-25
ValueCountFrequency (%)
서울특별시 57
21.6%
광진구 57
21.6%
자양동 25
 
9.5%
화양동 12
 
4.5%
구의동 10
 
3.8%
광장동 4
 
1.5%
중곡동 4
 
1.5%
24-25 3
 
1.1%
솔라빌리지 2
 
0.8%
더샵스타시티 2
 
0.8%
Other values (82) 88
33.3%
2024-05-11T05:52:20.456975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
15.5%
구 68
 
5.1%
동 65
 
4.9%
광 63
 
4.7%
시 60
 
4.5%
진 59
 
4.4%
서 57
 
4.3%
울 57
 
4.3%
별 57
 
4.3%
특 57
 
4.3%
Other values (76) 584
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
58.0%
Decimal Number 289
 
21.7%
Space Separator 207
 
15.5%
Dash Punctuation 52
 
3.9%
Uppercase Letter 12
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 68
 
8.8%
동 65
 
8.4%
광 63
 
8.1%
시 60
 
7.8%
진 59
 
7.6%
서 57
 
7.4%
울 57
 
7.4%
별 57
 
7.4%
특 57
 
7.4%
양 37
 
4.8%
Other values (54) 194
25.1%
Decimal Number
ValueCountFrequency (%)
2 50
17.3%
1 43
14.9%
4 35
12.1%
5 29
10.0%
3 29
10.0%
6 28
9.7%
0 25
8.7%
8 23
8.0%
7 14
 
4.8%
9 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
C 2
16.7%
B 1
8.3%
R 1
8.3%
I 1
8.3%
K 1
8.3%
H 1
8.3%
N 1
8.3%
D 1
8.3%
S 1
8.3%
Space Separator
ValueCountFrequency (%)
207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
58.0%
Common 548
41.1%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 68
 
8.8%
동 65
 
8.4%
광 63
 
8.1%
시 60
 
7.8%
진 59
 
7.6%
서 57
 
7.4%
울 57
 
7.4%
별 57
 
7.4%
특 57
 
7.4%
양 37
 
4.8%
Other values (54) 194
25.1%
Common
ValueCountFrequency (%)
207
37.8%
- 52
 
9.5%
2 50
 
9.1%
1 43
 
7.8%
4 35
 
6.4%
5 29
 
5.3%
3 29
 
5.3%
6 28
 
5.1%
0 25
 
4.6%
8 23
 
4.2%
Other values (2) 27
 
4.9%
Latin
ValueCountFrequency (%)
A 2
16.7%
C 2
16.7%
B 1
8.3%
R 1
8.3%
I 1
8.3%
K 1
8.3%
H 1
8.3%
N 1
8.3%
D 1
8.3%
S 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
58.0%
ASCII 560
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
37.0%
- 52
 
9.3%
2 50
 
8.9%
1 43
 
7.7%
4 35
 
6.2%
5 29
 
5.2%
3 29
 
5.2%
6 28
 
5.0%
0 25
 
4.5%
8 23
 
4.1%
Other values (12) 39
 
7.0%
Hangul
ValueCountFrequency (%)
구 68
 
8.8%
동 65
 
8.4%
광 63
 
8.1%
시 60
 
7.8%
진 59
 
7.6%
서 57
 
7.4%
울 57
 
7.4%
별 57
 
7.4%
특 57
 
7.4%
양 37
 
4.8%
Other values (54) 194
25.1%

도로명주소
Text

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T05:52:21.511815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length34.789474
Min length24

Characters and Unicode

Total characters1983
Distinct characters105
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

Unique55 ?
Unique (%)96.5%

Sample

1st row서울특별시 광진구 뚝섬로46길 74, 405호 (자양동, 광진하나플러스)
2nd row서울특별시 광진구 아차산로31길 42-1, 202호 (화양동)
3rd row서울특별시 광진구 능동로24길 60-10, 1층 (능동)
4th row서울특별시 광진구 구의로3길 19 (구의동)
5th row서울특별시 광진구 아차산로22길 38, 102호 (자양동)
ValueCountFrequency (%)
서울특별시 57
 
15.6%
광진구 57
 
15.6%
자양동 25
 
6.8%
화양동 12
 
3.3%
구의동 10
 
2.7%
102호 7
 
1.9%
202호 6
 
1.6%
아차산로25길 5
 
1.4%
아차산로 4
 
1.1%
아차산로22길 4
 
1.1%
Other values (141) 179
48.9%
2024-05-11T05:52:23.208090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
15.6%
2 78
 
3.9%
동 76
 
3.8%
1 76
 
3.8%
구 70
 
3.5%
0 67
 
3.4%
광 67
 
3.4%
, 61
 
3.1%
시 60
 
3.0%
진 59
 
3.0%
Other values (95) 1060
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1058
53.4%
Decimal Number 395
 
19.9%
Space Separator 309
 
15.6%
Other Punctuation 61
 
3.1%
Open Punctuation 57
 
2.9%
Close Punctuation 57
 
2.9%
Dash Punctuation 28
 
1.4%
Uppercase Letter 18
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 76
 
7.2%
구 70
 
6.6%
광 67
 
6.3%
시 60
 
5.7%
진 59
 
5.6%
로 57
 
5.4%
서 57
 
5.4%
울 57
 
5.4%
별 57
 
5.4%
특 57
 
5.4%
Other values (70) 441
41.7%
Decimal Number
ValueCountFrequency (%)
2 78
19.7%
1 76
19.2%
0 67
17.0%
3 51
12.9%
4 28
 
7.1%
6 27
 
6.8%
5 22
 
5.6%
7 22
 
5.6%
8 15
 
3.8%
9 9
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
27.8%
A 3
16.7%
D 2
 
11.1%
C 2
 
11.1%
R 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
H 1
 
5.6%
N 1
 
5.6%
S 1
 
5.6%
Space Separator
ValueCountFrequency (%)
309
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1058
53.4%
Common 907
45.7%
Latin 18
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 76
 
7.2%
구 70
 
6.6%
광 67
 
6.3%
시 60
 
5.7%
진 59
 
5.6%
로 57
 
5.4%
서 57
 
5.4%
울 57
 
5.4%
별 57
 
5.4%
특 57
 
5.4%
Other values (70) 441
41.7%
Common
ValueCountFrequency (%)
309
34.1%
2 78
 
8.6%
1 76
 
8.4%
0 67
 
7.4%
, 61
 
6.7%
( 57
 
6.3%
) 57
 
6.3%
3 51
 
5.6%
- 28
 
3.1%
4 28
 
3.1%
Other values (5) 95
 
10.5%
Latin
ValueCountFrequency (%)
B 5
27.8%
A 3
16.7%
D 2
 
11.1%
C 2
 
11.1%
R 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
H 1
 
5.6%
N 1
 
5.6%
S 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1058
53.4%
ASCII 925
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
33.4%
2 78
 
8.4%
1 76
 
8.2%
0 67
 
7.2%
, 61
 
6.6%
( 57
 
6.2%
) 57
 
6.2%
3 51
 
5.5%
- 28
 
3.0%
4 28
 
3.0%
Other values (15) 113
 
12.2%
Hangul
ValueCountFrequency (%)
동 76
 
7.2%
구 70
 
6.6%
광 67
 
6.3%
시 60
 
5.7%
진 59
 
5.6%
로 57
 
5.4%
서 57
 
5.4%
울 57
 
5.4%
별 57
 
5.4%
특 57
 
5.4%
Other values (70) 441
41.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)60.9%
Missing11
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean5029.3696
Minimum4905
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:23.889772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4905
5-th percentile4953
Q15015.25
median5024
Q35071
95-th percentile5092.25
Maximum5119
Range214
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation48.8232
Coefficient of variation (CV)0.0097076182
Kurtosis0.24214893
Mean5029.3696
Median Absolute Deviation (MAD)41.5
Skewness-0.61261367
Sum231351
Variance2383.7048
MonotonicityNot monotonic
2024-05-11T05:52:24.389311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5071 4
 
7.0%
5019 4
 
7.0%
5072 4
 
7.0%
5041 3
 
5.3%
5084 2
 
3.5%
5015 2
 
3.5%
4990 2
 
3.5%
4960 2
 
3.5%
5020 2
 
3.5%
5021 2
 
3.5%
Other values (18) 19
33.3%
(Missing) 11
19.3%
ValueCountFrequency (%)
4905 1
1.8%
4908 1
1.8%
4953 2
3.5%
4960 2
3.5%
4969 1
1.8%
4980 1
1.8%
4990 2
3.5%
5015 2
3.5%
5016 1
1.8%
5018 1
1.8%
ValueCountFrequency (%)
5119 1
 
1.8%
5110 1
 
1.8%
5095 1
 
1.8%
5084 2
3.5%
5078 1
 
1.8%
5072 4
7.0%
5071 4
7.0%
5066 1
 
1.8%
5065 1
 
1.8%
5054 1
 
1.8%

사업장명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T05:52:25.064423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length10.947368
Min length3

Characters and Unicode

Total characters624
Distinct characters148
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st rowLove House
2nd row연화하우스
3rd row포레스트
4th row라온 게스트하우스
5th row스테이지니
ValueCountFrequency (%)
house 7
 
6.8%
게스트하우스 6
 
5.8%
stay 5
 
4.9%
하우스 2
 
1.9%
서울 2
 
1.9%
릴릴레지던스 2
 
1.9%
홈스테이 2
 
1.9%
konkuk 2
 
1.9%
love 1
 
1.0%
스테이(lemonhill 1
 
1.0%
Other values (73) 73
70.9%
2024-05-11T05:52:26.472320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
7.4%
스 38
 
6.1%
o 25
 
4.0%
a 24
 
3.8%
e 22
 
3.5%
이 19
 
3.0%
n 18
 
2.9%
u 18
 
2.9%
y 17
 
2.7%
하 15
 
2.4%
Other values (138) 382
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
41.5%
Lowercase Letter 224
35.9%
Uppercase Letter 53
 
8.5%
Space Separator 46
 
7.4%
Close Punctuation 12
 
1.9%
Open Punctuation 12
 
1.9%
Decimal Number 8
 
1.3%
Other Punctuation 7
 
1.1%
Connector Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 38
 
14.7%
이 19
 
7.3%
하 15
 
5.8%
우 14
 
5.4%
트 10
 
3.9%
테 10
 
3.9%
게 8
 
3.1%
레 5
 
1.9%
서 4
 
1.5%
릴 4
 
1.5%
Other values (84) 132
51.0%
Lowercase Letter
ValueCountFrequency (%)
o 25
11.2%
a 24
10.7%
e 22
9.8%
n 18
 
8.0%
u 18
 
8.0%
y 17
 
7.6%
i 13
 
5.8%
s 13
 
5.8%
l 12
 
5.4%
t 11
 
4.9%
Other values (13) 51
22.8%
Uppercase Letter
ValueCountFrequency (%)
S 10
18.9%
H 6
11.3%
B 6
11.3%
J 5
9.4%
C 4
 
7.5%
L 3
 
5.7%
K 3
 
5.7%
N 3
 
5.7%
A 2
 
3.8%
R 2
 
3.8%
Other values (7) 9
17.0%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
3 1
 
12.5%
6 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
' 3
42.9%
, 2
28.6%
& 2
28.6%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 278
44.6%
Hangul 259
41.5%
Common 87
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 38
 
14.7%
이 19
 
7.3%
하 15
 
5.8%
우 14
 
5.4%
트 10
 
3.9%
테 10
 
3.9%
게 8
 
3.1%
레 5
 
1.9%
서 4
 
1.5%
릴 4
 
1.5%
Other values (84) 132
51.0%
Latin
ValueCountFrequency (%)
o 25
 
9.0%
a 24
 
8.6%
e 22
 
7.9%
n 18
 
6.5%
u 18
 
6.5%
y 17
 
6.1%
i 13
 
4.7%
s 13
 
4.7%
l 12
 
4.3%
t 11
 
4.0%
Other values (31) 105
37.8%
Common
ValueCountFrequency (%)
46
52.9%
) 12
 
13.8%
( 12
 
13.8%
' 3
 
3.4%
2 3
 
3.4%
0 2
 
2.3%
, 2
 
2.3%
& 2
 
2.3%
_ 1
 
1.1%
3 1
 
1.1%
Other values (3) 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
58.3%
Hangul 259
41.5%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
 
12.6%
o 25
 
6.9%
a 24
 
6.6%
e 22
 
6.0%
n 18
 
4.9%
u 18
 
4.9%
y 17
 
4.7%
i 13
 
3.6%
s 13
 
3.6%
) 12
 
3.3%
Other values (43) 156
42.9%
Hangul
ValueCountFrequency (%)
스 38
 
14.7%
이 19
 
7.3%
하 15
 
5.8%
우 14
 
5.4%
트 10
 
3.9%
테 10
 
3.9%
게 8
 
3.1%
레 5
 
1.9%
서 4
 
1.5%
릴 4
 
1.5%
Other values (84) 132
51.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

최종수정일자
Date

Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2016-11-07 00:00:00
Maximum2024-05-09 12:51:11
2024-05-11T05:52:27.100655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:27.629877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
U
36 
I
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 36
63.2%
I 21
36.8%

Length

2024-05-11T05:52:28.066798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:28.513641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 36
63.2%
i 21
36.8%

데이터갱신일자
Date

Distinct38
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-04 23:01:00
2024-05-11T05:52:28.906168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:52:29.464747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌표정보(X)
Real number (ℝ)

Distinct49
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206790.78
Minimum205561.66
Maximum209480.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:30.442150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205561.66
5-th percentile205568.18
Q1205795.72
median206510.34
Q3207657.32
95-th percentile208936.42
Maximum209480.58
Range3918.9187
Interquartile range (IQR)1861.5919

Descriptive statistics

Standard deviation1094.7102
Coefficient of variation (CV)0.0052938059
Kurtosis-0.42794509
Mean206790.78
Median Absolute Deviation (MAD)730.3471
Skewness0.75578389
Sum11787074
Variance1198390.5
MonotonicityNot monotonic
2024-05-11T05:52:31.006848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
205561.65698064 3
 
5.3%
207812.025 2
 
3.5%
205726.193252331 2
 
3.5%
205780.332 2
 
3.5%
208294.4188 2
 
3.5%
205839.825423095 2
 
3.5%
207657.316738477 2
 
3.5%
207135.9584 1
 
1.8%
206420.7668 1
 
1.8%
209480.5757 1
 
1.8%
Other values (39) 39
68.4%
ValueCountFrequency (%)
205561.65698064 3
5.3%
205569.814159115 1
 
1.8%
205662.235188611 1
 
1.8%
205685.275619297 1
 
1.8%
205708.138856743 1
 
1.8%
205726.193252331 2
3.5%
205739.3638 1
 
1.8%
205780.332 2
3.5%
205787.8938 1
 
1.8%
205793.103822747 1
 
1.8%
ValueCountFrequency (%)
209480.5757 1
1.8%
209345.9418 1
1.8%
208963.3333 1
1.8%
208929.6869 1
1.8%
208558.286631653 1
1.8%
208294.4188 2
3.5%
208155.3957 1
1.8%
208100.110896296 1
1.8%
207812.025 2
3.5%
207730.501383374 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct49
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448896.29
Minimum447480.85
Maximum451852.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:31.956397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447480.85
5-th percentile447790.29
Q1448386.67
median448756.05
Q3449209.98
95-th percentile450217.72
Maximum451852.92
Range4372.065
Interquartile range (IQR)823.3118

Descriptive statistics

Standard deviation859.8371
Coefficient of variation (CV)0.0019154471
Kurtosis2.2723107
Mean448896.29
Median Absolute Deviation (MAD)446.75585
Skewness1.1190486
Sum25587088
Variance739319.84
MonotonicityNot monotonic
2024-05-11T05:52:32.887372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
448669.564684756 3
 
5.3%
450217.7234 2
 
3.5%
448992.647147341 2
 
3.5%
448621.1664 2
 
3.5%
449807.5208 2
 
3.5%
448963.034027397 2
 
3.5%
448670.819224898 2
 
3.5%
448386.6689 1
 
1.8%
448267.4071 1
 
1.8%
449568.0057 1
 
1.8%
Other values (39) 39
68.4%
ValueCountFrequency (%)
447480.851299914 1
1.8%
447601.0557 1
1.8%
447740.5951 1
1.8%
447802.7083 1
1.8%
447816.0924 1
1.8%
447844.1039 1
1.8%
447857.6423 1
1.8%
447913.607 1
1.8%
448005.6493639 1
1.8%
448021.2883 1
1.8%
ValueCountFrequency (%)
451852.916310705 1
1.8%
451468.604985578 1
1.8%
450217.7234 2
3.5%
450074.590673594 1
1.8%
450013.872261677 1
1.8%
449811.7182 1
1.8%
449807.5208 2
3.5%
449568.0057 1
1.8%
449531.921604039 1
1.8%
449514.2576 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
29 
외국인관광 도시민박업
28 

Length

Max length11
Median length4
Mean length7.4385965
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
50.9%
외국인관광 도시민박업 28
49.1%

Length

2024-05-11T05:52:33.610680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:34.110522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
34.1%
외국인관광 28
32.9%
도시민박업 28
32.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

지역구분명
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
47 
일반주거지역
5 
주거지역
5 

Length

Max length6
Median length4
Mean length4.1754386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
82.5%
일반주거지역 5
 
8.8%
주거지역 5
 
8.8%

Length

2024-05-11T05:52:34.644374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:35.088979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
82.5%
일반주거지역 5
 
8.8%
주거지역 5
 
8.8%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
44 
0
6 
3
 
2
5
 
2
1
 
2

Length

Max length4
Median length4
Mean length3.3157895
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
77.2%
0 6
 
10.5%
3 2
 
3.5%
5 2
 
3.5%
1 2
 
3.5%
4 1
 
1.8%

Length

2024-05-11T05:52:35.660962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:36.171999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
77.2%
0 6
 
10.5%
3 2
 
3.5%
5 2
 
3.5%
1 2
 
3.5%
4 1
 
1.8%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
54 
주택가주변
 
3

Length

Max length5
Median length4
Mean length4.0526316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
94.7%
주택가주변 3
 
5.3%

Length

2024-05-11T05:52:36.766764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:37.060143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
94.7%
주택가주변 3
 
5.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
다세대주택
 
4
단독주택
 
2
다가구용 주택(공동주택적용)
 
2
아파트
 
1

Length

Max length15
Median length4
Mean length4.4385965
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
다세대주택 4
 
7.0%
단독주택 2
 
3.5%
다가구용 주택(공동주택적용) 2
 
3.5%
아파트 1
 
1.8%

Length

2024-05-11T05:52:37.451649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:37.918029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
81.4%
다세대주택 4
 
6.8%
단독주택 2
 
3.4%
다가구용 2
 
3.4%
주택(공동주택적용 2
 
3.4%
아파트 1
 
1.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)42.9%
Missing43
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean1.5714286
Minimum0
Maximum5
Zeros7
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:38.551077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32.75
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.9499225
Coefficient of variation (CV)1.2408598
Kurtosis-0.80891899
Mean1.5714286
Median Absolute Deviation (MAD)0.5
Skewness0.85522889
Sum22
Variance3.8021978
MonotonicityNot monotonic
2024-05-11T05:52:39.131075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 7
 
12.3%
2 2
 
3.5%
5 2
 
3.5%
4 1
 
1.8%
3 1
 
1.8%
1 1
 
1.8%
(Missing) 43
75.4%
ValueCountFrequency (%)
0 7
12.3%
1 1
 
1.8%
2 2
 
3.5%
3 1
 
1.8%
4 1
 
1.8%
5 2
 
3.5%
ValueCountFrequency (%)
5 2
 
3.5%
4 1
 
1.8%
3 1
 
1.8%
2 2
 
3.5%
1 1
 
1.8%
0 7
12.3%

지하층수
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
46 
0
7 
1
 
4

Length

Max length4
Median length4
Mean length3.4210526
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> 46
80.7%
0 7
 
12.3%
1 4
 
7.0%

Length

2024-05-11T05:52:39.873639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:40.304596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
80.7%
0 7
 
12.3%
1 4
 
7.0%

객실수
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
34 
2
8 
1
8 
3
7 

Length

Max length4
Median length4
Mean length2.7894737
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> 34
59.6%
2 8
 
14.0%
1 8
 
14.0%
3 7
 
12.3%

Length

2024-05-11T05:52:40.718977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:41.194076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
59.6%
2 8
 
14.0%
1 8
 
14.0%
3 7
 
12.3%

건축연면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
0
7 
560
 
1
164
 
1

Length

Max length4
Median length4
Mean length3.5964912
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
0 7
 
12.3%
560 1
 
1.8%
164 1
 
1.8%

Length

2024-05-11T05:52:41.865196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:42.296438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
0 7
 
12.3%
560 1
 
1.8%
164 1
 
1.8%

영문상호명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing51
Missing (%)89.5%
Memory size588.0 B
2024-05-11T05:52:42.821935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length15.5
Mean length16.833333
Min length4

Characters and Unicode

Total characters101
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowJayang Tobak’s House
2nd rowChinchin Stay
3rd rowJuly
4th rowliilliil Residence
5th rowSeoul Walkerhill Homestay Guesthouse
ValueCountFrequency (%)
house 2
14.3%
jayang 1
 
7.1%
tobak’s 1
 
7.1%
chinchin 1
 
7.1%
stay 1
 
7.1%
july 1
 
7.1%
liilliil 1
 
7.1%
residence 1
 
7.1%
seoul 1
 
7.1%
walkerhill 1
 
7.1%
Other values (3) 3
21.4%
2024-05-11T05:52:43.701972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 10
 
9.9%
l 9
 
8.9%
8
 
7.9%
i 8
 
7.9%
s 7
 
6.9%
u 7
 
6.9%
a 7
 
6.9%
o 6
 
5.9%
h 4
 
4.0%
y 4
 
4.0%
Other values (18) 31
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 79
78.2%
Uppercase Letter 13
 
12.9%
Space Separator 8
 
7.9%
Final Punctuation 1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10
12.7%
l 9
11.4%
i 8
10.1%
s 7
8.9%
u 7
8.9%
a 7
8.9%
o 6
7.6%
h 4
 
5.1%
y 4
 
5.1%
n 4
 
5.1%
Other values (8) 13
16.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
H 3
23.1%
J 2
15.4%
C 1
 
7.7%
T 1
 
7.7%
R 1
 
7.7%
W 1
 
7.7%
G 1
 
7.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 92
91.1%
Common 9
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10
 
10.9%
l 9
 
9.8%
i 8
 
8.7%
s 7
 
7.6%
u 7
 
7.6%
a 7
 
7.6%
o 6
 
6.5%
h 4
 
4.3%
y 4
 
4.3%
n 4
 
4.3%
Other values (16) 26
28.3%
Common
ValueCountFrequency (%)
8
88.9%
’ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100
99.0%
Punctuation 1
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 10
 
10.0%
l 9
 
9.0%
8
 
8.0%
i 8
 
8.0%
s 7
 
7.0%
u 7
 
7.0%
a 7
 
7.0%
o 6
 
6.0%
h 4
 
4.0%
y 4
 
4.0%
Other values (17) 30
30.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
50 
Urban Home Visit System for Foreign Tourist
6 
Shared lodging Business
 
1

Length

Max length43
Median length4
Mean length8.4385965
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
87.7%
Urban Home Visit System for Foreign Tourist 6
 
10.5%
Shared lodging Business 1
 
1.8%

Length

2024-05-11T05:52:44.254407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:44.729119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
52.6%
urban 6
 
6.3%
home 6
 
6.3%
visit 6
 
6.3%
system 6
 
6.3%
for 6
 
6.3%
foreign 6
 
6.3%
tourist 6
 
6.3%
shared 1
 
1.1%
lodging 1
 
1.1%

선박총톤수
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:45.248548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:45.759210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

선박척수
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:46.406488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:46.898863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

무대면적
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:47.377100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:47.812713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

좌석수
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:48.242172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:48.774992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:49.252720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:49.628209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)94.1%
Missing40
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean61.118235
Minimum0
Maximum146.25
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:50.194303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.776
Q145
median51.23
Q381.81
95-th percentile101.578
Maximum146.25
Range146.25
Interquartile range (IQR)36.81

Descriptive statistics

Standard deviation32.688539
Coefficient of variation (CV)0.53484101
Kurtosis1.950431
Mean61.118235
Median Absolute Deviation (MAD)21.51
Skewness0.75939888
Sum1039.01
Variance1068.5406
MonotonicityNot monotonic
2024-05-11T05:52:50.779538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
50.1 2
 
3.5%
45.0 1
 
1.8%
146.25 1
 
1.8%
76.0 1
 
1.8%
81.81 1
 
1.8%
29.72 1
 
1.8%
35.04 1
 
1.8%
83.14 1
 
1.8%
85.41 1
 
1.8%
33.0 1
 
1.8%
Other values (6) 6
 
10.5%
(Missing) 40
70.2%
ValueCountFrequency (%)
0.0 1
1.8%
29.72 1
1.8%
33.0 1
1.8%
35.04 1
1.8%
45.0 1
1.8%
48.04 1
1.8%
50.1 2
3.5%
51.23 1
1.8%
56.0 1
1.8%
76.0 1
1.8%
ValueCountFrequency (%)
146.25 1
1.8%
90.41 1
1.8%
85.41 1
1.8%
83.14 1
1.8%
81.81 1
1.8%
77.76 1
1.8%
76.0 1
1.8%
56.0 1
1.8%
51.23 1
1.8%
50.1 2
3.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
49 
0
8 

Length

Max length4
Median length4
Mean length3.5789474
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> 49
86.0%
0 8
 
14.0%

Length

2024-05-11T05:52:51.281804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:52:51.583094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
86.0%
0 8
 
14.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)63.6%
Missing46
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean22272909
Minimum0
Maximum1.3 × 108
Zeros3
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:52.012313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median10000000
Q325000000
95-th percentile80000000
Maximum1.3 × 108
Range1.3 × 108
Interquartile range (IQR)24999000

Descriptive statistics

Standard deviation37640527
Coefficient of variation (CV)1.689969
Kurtosis8.2344646
Mean22272909
Median Absolute Deviation (MAD)10000000
Skewness2.749948
Sum2.45002 × 108
Variance1.4168093 × 1015
MonotonicityNot monotonic
2024-05-11T05:52:52.541804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3
 
5.3%
20000000 2
 
3.5%
30000000 2
 
3.5%
10000000 1
 
1.8%
5000000 1
 
1.8%
2000 1
 
1.8%
130000000 1
 
1.8%
(Missing) 46
80.7%
ValueCountFrequency (%)
0 3
5.3%
2000 1
 
1.8%
5000000 1
 
1.8%
10000000 1
 
1.8%
20000000 2
3.5%
30000000 2
3.5%
130000000 1
 
1.8%
ValueCountFrequency (%)
130000000 1
 
1.8%
30000000 2
3.5%
20000000 2
3.5%
10000000 1
 
1.8%
5000000 1
 
1.8%
2000 1
 
1.8%
0 3
5.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)94.1%
Missing40
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean61.058824
Minimum0
Maximum146
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T05:52:53.226010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q145
median51
Q382
95-th percentile101.2
Maximum146
Range146
Interquartile range (IQR)37

Descriptive statistics

Standard deviation32.610333
Coefficient of variation (CV)0.5340806
Kurtosis1.9550285
Mean61.058824
Median Absolute Deviation (MAD)21
Skewness0.75809599
Sum1038
Variance1063.4338
MonotonicityNot monotonic
2024-05-11T05:52:53.592432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
50 2
 
3.5%
45 1
 
1.8%
146 1
 
1.8%
76 1
 
1.8%
82 1
 
1.8%
30 1
 
1.8%
35 1
 
1.8%
83 1
 
1.8%
85 1
 
1.8%
33 1
 
1.8%
Other values (6) 6
 
10.5%
(Missing) 40
70.2%
ValueCountFrequency (%)
0 1
1.8%
30 1
1.8%
33 1
1.8%
35 1
1.8%
45 1
1.8%
48 1
1.8%
50 2
3.5%
51 1
1.8%
56 1
1.8%
76 1
1.8%
ValueCountFrequency (%)
146 1
1.8%
90 1
1.8%
85 1
1.8%
83 1
1.8%
82 1
1.8%
78 1
1.8%
76 1
1.8%
56 1
1.8%
51 1
1.8%
50 2
3.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03040000CDFI22622120230000012023-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 811 광진하나플러스서울특별시 광진구 뚝섬로46길 74, 405호 (자양동, 광진하나플러스)5110Love House2023-08-14 13:55:39U2022-12-07 23:07:00.0<NA>206624.071362447480.8513<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFI22622120230000062023-07-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 11-26서울특별시 광진구 아차산로31길 42-1, 202호 (화양동)5016연화하우스2023-08-14 14:00:00U2022-12-07 23:07:00.0<NA>206152.012294448943.386581<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23040000CDFI22622120230000032023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 385-2서울특별시 광진구 능동로24길 60-10, 1층 (능동)4990포레스트2023-08-14 13:57:00U2022-12-07 23:07:00.0<NA>206991.09617450013.872262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFI22622120230000022023-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 241-65서울특별시 광진구 구의로3길 19 (구의동)5041라온 게스트하우스2023-08-14 13:56:24U2022-12-07 23:07:00.0<NA>207657.316738448670.819225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43040000CDFI22622120240000062024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 24-25서울특별시 광진구 아차산로22길 38, 102호 (자양동)5071스테이지니2024-03-18 14:40:36I2023-12-02 22:00:00.0<NA>205561.656981448669.564685<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53040000CDFI22622120230000072023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 44-38서울특별시 광진구 아차산로21길 30, 202호 (화양동)5020오프워크스테이2023-11-01 19:39:03U2022-11-01 00:03:00.0<NA>205726.193252448992.647147<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000CDFI22622120240000072024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 685-11서울특별시 광진구 동일로76나길 36-3 (중곡동)4905하이퍼무드2024-03-21 09:13:30I2023-12-02 22:03:00.0<NA>207060.314188451852.916311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73040000CDFI22622120230000092023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 58-9서울특별시 광진구 능동로3라길 6-3, 201호 (자양동)5084제이와이 게스트하우스2023-11-01 19:39:38U2022-11-01 00:03:00.0<NA>205708.138857448005.649364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFI22622120230000082023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 36-80서울특별시 광진구 아차산로25길 57-1, 102호 (화양동)5015오프워크센터2023-11-01 19:39:57U2022-11-01 00:03:00.0<NA>205897.193225449075.601761<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFI22622120230000122023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 631-1 현대프라임아파트서울특별시 광진구 광나루로56길 29, 4동 2801호 (구의동, 현대프라임아파트)5119David&Company2024-04-18 16:48:07U2023-12-03 22:00:00.0<NA>208558.286632448353.905156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
473040000CDFI226221201200000120120614<NA>3폐업3폐업20190503<NA><NA><NA><NA><NA>143-842서울특별시 광진구 자양동 854번지 광진트라팰리스 A동 303호서울특별시 광진구 뚝섬로34길 67, A동 3층 303호 (자양동, 광진트라팰리스)<NA>에밀리홈스테이2019-05-07U2019-05-10 02:40:00.0<NA>205936.1667447740.5951외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483040000CDFI226221201200000220121217<NA>3폐업3폐업20181120<NA><NA><NA>02)447-8369<NA>143-210서울특별시 광진구 광장동 258-22번지서울특별시 광진구 광장로1길 18 (광장동)<NA>Homestay Cafe Naru2018-11-20U2018-11-22 02:36:00.0<NA>208963.3333449486.8766외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493040000CDFI226221201300000120130510<NA>3폐업3폐업20200810<NA><NA><NA>02-2201-9410<NA>143-775서울특별시 광진구 자양동 792 현대홈타운10차아파트 1004동 402호서울특별시 광진구 뚝섬로34길 25-19, 1004동 402호 (자양동, 현대홈타운10차아파트)<NA>Happy Day Familly2020-08-10U2020-08-12 02:40:00.0<NA>206161.5556447913.607외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503040000CDFI226221201400000120141103<NA>3폐업3폐업20161107<NA><NA><NA><NA><NA>143-752서울특별시 광진구 광장동 145-8번지 워커힐아파트 24동 603호서울특별시 광진구 아차산로 637, 24동 603호 (광장동, 워커힐아파트)<NA>서울 워커힐 홈스테이 게스트하우스2016-11-07I2018-08-31 23:59:00.0<NA>209345.9418449811.7182외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Seoul Walkerhill Homestay GuesthouseUrban Home Visit System for Foreign Tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513040000CDFI226221201500000220150306<NA>3폐업3폐업20170206<NA><NA><NA><NA><NA>143-833서울특별시 광진구 구의동 663번지 아차산휴먼시아 103동 301호서울특별시 광진구 천호대로 716, 103동 301호 (구의동, 아차산휴먼시아)<NA>수라 하우스2017-02-06I2018-08-31 23:59:00.0<NA>208155.3957449514.2576외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Sura HouseUrban Home Visit System for Foreign Tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523040000CDFI226221201600000420160518<NA>3폐업3폐업20171228<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 87-1번지 한강우성아파트 102동 202호서울특별시 광진구 능동로1길 15, 102동 202호 (자양동, 한강우성아파트)<NA>J&J홈스테이2017-12-28I2018-08-31 23:59:00.0<NA>205739.3638447816.0924외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533040000CDFI226221201600000520160520<NA>3폐업3폐업20180322<NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 396-18번지서울특별시 광진구 천호대로 798-12 (광장동)<NA>AB(An Bang)게스트하우스2018-03-22I2018-08-31 23:59:00.0<NA>208929.6869449209.9807외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543040000CDFI226221201800000120180419<NA>3폐업3폐업20191031<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 859번지 래미안프리미어팰리스 101동 2801호서울특별시 광진구 아차산로 345, 래미안프리미어팰리스 101동 2801호 (자양동)5026이고엑스퍼트그룹2019-10-31U2019-11-02 02:40:00.0<NA>207135.9584448386.6689외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553040000CDFI226221201800000220181017<NA>3폐업3폐업20230129<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 10-26 101호서울특별시 광진구 아차산로28길 20-4, 1층 101호 (자양동)5072켈리하우스(Kelly House)2023-02-24U2023-02-26 02:40:00.0<NA>205780.332448621.1664외국인관광 도시민박업<NA>일반주거지역1주택가주변<NA><NA>다가구용 주택(공동주택적용)1<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45
563040000CDFI226221201600000220160202<NA>3폐업3폐업20210831<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 227-315 더샵스타시티 C동 3606호서울특별시 광진구 아차산로 262, C동 3606호 (자양동, 더샵스타시티)<NA>36스카이뷰2021-08-31U2021-09-02 02:40:00.0<NA>206420.7668448267.4071외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>