Overview

Dataset statistics

Number of variables60
Number of observations43
Missing cells1148
Missing cells (%)44.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory525.1 B

Variable types

Categorical22
Text9
DateTime2
Unsupported21
Numeric6

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17470/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 20 (46.5%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 35 (81.4%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 28 (65.1%) missing valuesMissing
도로명우편번호 has 16 (37.2%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
문화사업자구분명 has 43 (100.0%) missing valuesMissing
주변환경명 has 40 (93.0%) missing valuesMissing
제작취급품목내용 has 43 (100.0%) missing valuesMissing
보험기관명 has 43 (100.0%) missing valuesMissing
영문상호명 has 41 (95.3%) missing valuesMissing
영문상호주소 has 41 (95.3%) missing valuesMissing
선박제원 has 43 (100.0%) missing valuesMissing
기념품종류 has 43 (100.0%) missing valuesMissing
시설면적 has 12 (27.9%) missing valuesMissing
놀이기구수내역 has 43 (100.0%) missing valuesMissing
방송시설유무 has 43 (100.0%) missing valuesMissing
발전시설유무 has 43 (100.0%) missing valuesMissing
의무실유무 has 43 (100.0%) missing valuesMissing
안내소유무 has 43 (100.0%) missing valuesMissing
기획여행보험시작일자 has 43 (100.0%) missing valuesMissing
기획여행보험종료일자 has 43 (100.0%) missing valuesMissing
보험시작일자 has 43 (100.0%) missing valuesMissing
보험종료일자 has 43 (100.0%) missing valuesMissing
부대시설내역 has 43 (100.0%) missing valuesMissing
시설규모 has 12 (27.9%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 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
시설면적 has 3 (7.0%) zerosZeros
시설규모 has 3 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-17 19:59:24.002770
Analysis finished2024-04-17 19:59:24.487930
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3180000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 43
100.0%

Length

2024-04-18T04:59:24.535518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:24.605059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-18T04:59:24.735384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212013000001
2nd rowCDFI2262212013000002
3rd rowCDFI2262212013000003
4th rowCDFI2262212013000004
5th rowCDFI2262212013000005
ValueCountFrequency (%)
cdfi2262212013000001 1
 
2.3%
cdfi2262212018000001 1
 
2.3%
cdfi2262212019000002 1
 
2.3%
cdfi2262212019000003 1
 
2.3%
cdfi2262212019000004 1
 
2.3%
cdfi2262212020000001 1
 
2.3%
cdfi2262212021000001 1
 
2.3%
cdfi2262212022000001 1
 
2.3%
cdfi2262212022000002 1
 
2.3%
cdfi2262212023000001 1
 
2.3%
Other values (33) 33
76.7%
2024-04-18T04:59:24.975542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 258
30.0%
2 242
28.1%
1 86
 
10.0%
6 49
 
5.7%
C 43
 
5.0%
D 43
 
5.0%
F 43
 
5.0%
I 43
 
5.0%
3 24
 
2.8%
4 12
 
1.4%
Other values (4) 17
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
37.5%
2 242
35.2%
1 86
 
12.5%
6 49
 
7.1%
3 24
 
3.5%
4 12
 
1.7%
5 6
 
0.9%
9 5
 
0.7%
7 4
 
0.6%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 43
25.0%
D 43
25.0%
F 43
25.0%
I 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 258
37.5%
2 242
35.2%
1 86
 
12.5%
6 49
 
7.1%
3 24
 
3.5%
4 12
 
1.7%
5 6
 
0.9%
9 5
 
0.7%
7 4
 
0.6%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
C 43
25.0%
D 43
25.0%
F 43
25.0%
I 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 258
30.0%
2 242
28.1%
1 86
 
10.0%
6 49
 
5.7%
C 43
 
5.0%
D 43
 
5.0%
F 43
 
5.0%
I 43
 
5.0%
3 24
 
2.8%
4 12
 
1.4%
Other values (4) 17
 
2.0%

인허가일자
Date

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2013-01-02 00:00:00
Maximum2024-04-16 00:00:00
2024-04-18T04:59:25.078705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:25.184409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
23 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
53.5%
1 20
46.5%

Length

2024-04-18T04:59:25.289100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:25.366366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
53.5%
1 20
46.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
23 
영업/정상
20 

Length

Max length5
Median length2
Mean length3.3953488
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
53.5%
영업/정상 20
46.5%

Length

2024-04-18T04:59:25.469505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:25.557858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
53.5%
영업/정상 20
46.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
23 
13
20 

Length

Max length2
Median length1
Mean length1.4651163
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
53.5%
13 20
46.5%

Length

2024-04-18T04:59:25.650940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:25.740060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
53.5%
13 20
46.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
23 
영업중
20 

Length

Max length3
Median length2
Mean length2.4651163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
53.5%
영업중 20
46.5%

Length

2024-04-18T04:59:25.819725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:25.899174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
53.5%
영업중 20
46.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)91.3%
Missing20
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean20179472
Minimum20141027
Maximum20230320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:25.977606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20141027
5-th percentile20141124
Q120160466
median20171226
Q320210766
95-th percentile20229319
Maximum20230320
Range89293
Interquartile range (IQR)50299

Descriptive statistics

Standard deviation30757.136
Coefficient of variation (CV)0.0015241794
Kurtosis-1.1768963
Mean20179472
Median Absolute Deviation (MAD)20318
Skewness0.51667574
Sum4.6412785 × 108
Variance9.460014 × 108
MonotonicityNot monotonic
2024-04-18T04:59:26.064918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20181001 2
 
4.7%
20221206 2
 
4.7%
20221019 1
 
2.3%
20230220 1
 
2.3%
20230320 1
 
2.3%
20200611 1
 
2.3%
20220920 1
 
2.3%
20180326 1
 
2.3%
20171226 1
 
2.3%
20180205 1
 
2.3%
Other values (11) 11
25.6%
(Missing) 20
46.5%
ValueCountFrequency (%)
20141027 1
2.3%
20141114 1
2.3%
20141209 1
2.3%
20150225 1
2.3%
20150908 1
2.3%
20160415 1
2.3%
20160518 1
2.3%
20160704 1
2.3%
20160726 1
2.3%
20160812 1
2.3%
ValueCountFrequency (%)
20230320 1
2.3%
20230220 1
2.3%
20221206 2
4.7%
20221019 1
2.3%
20220920 1
2.3%
20200611 1
2.3%
20181001 2
4.7%
20180326 1
2.3%
20180205 1
2.3%
20171226 1
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing35
Missing (%)81.4%
Memory size476.0 B
2024-04-18T04:59:26.191818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.875
Min length8

Characters and Unicode

Total characters87
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row2671-2485
2nd row070-4001-0590
3rd row02-6334-1334
4th row02-847-1448
5th row02-784-0755
ValueCountFrequency (%)
2671-2485 1
12.5%
070-4001-0590 1
12.5%
02-6334-1334 1
12.5%
02-847-1448 1
12.5%
02-784-0755 1
12.5%
02-6052-8290 1
12.5%
832-0100 1
12.5%
02-833-1885 1
12.5%
2024-04-18T04:59:26.419017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
19.5%
- 14
16.1%
2 10
11.5%
8 9
10.3%
4 8
9.2%
3 7
8.0%
1 6
 
6.9%
5 6
 
6.9%
7 5
 
5.7%
6 3
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
83.9%
Dash Punctuation 14
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
23.3%
2 10
13.7%
8 9
12.3%
4 8
11.0%
3 7
9.6%
1 6
 
8.2%
5 6
 
8.2%
7 5
 
6.8%
6 3
 
4.1%
9 2
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
19.5%
- 14
16.1%
2 10
11.5%
8 9
10.3%
4 8
9.2%
3 7
8.0%
1 6
 
6.9%
5 6
 
6.9%
7 5
 
5.7%
6 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
19.5%
- 14
16.1%
2 10
11.5%
8 9
10.3%
4 8
9.2%
3 7
8.0%
1 6
 
6.9%
5 6
 
6.9%
7 5
 
5.7%
6 3
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Text

MISSING 

Distinct11
Distinct (%)73.3%
Missing28
Missing (%)65.1%
Memory size476.0 B
2024-04-18T04:59:26.540091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters105
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)53.3%

Sample

1st row150-883
2nd row150-989
3rd row150-010
4th row150-888
5th row150-837
ValueCountFrequency (%)
150-840 3
20.0%
150-010 2
13.3%
150-837 2
13.3%
150-883 1
 
6.7%
150-989 1
 
6.7%
150-888 1
 
6.7%
150-875 1
 
6.7%
150-754 1
 
6.7%
150-842 1
 
6.7%
150-806 1
 
6.7%
2024-04-18T04:59:26.751208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
21.9%
1 17
16.2%
5 17
16.2%
- 15
14.3%
8 14
13.3%
4 5
 
4.8%
7 5
 
4.8%
9 4
 
3.8%
3 3
 
2.9%
2 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
85.7%
Dash Punctuation 15
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
25.6%
1 17
18.9%
5 17
18.9%
8 14
15.6%
4 5
 
5.6%
7 5
 
5.6%
9 4
 
4.4%
3 3
 
3.3%
2 1
 
1.1%
6 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
21.9%
1 17
16.2%
5 17
16.2%
- 15
14.3%
8 14
13.3%
4 5
 
4.8%
7 5
 
4.8%
9 4
 
3.8%
3 3
 
2.9%
2 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
21.9%
1 17
16.2%
5 17
16.2%
- 15
14.3%
8 14
13.3%
4 5
 
4.8%
7 5
 
4.8%
9 4
 
3.8%
3 3
 
2.9%
2 1
 
1.0%

지번주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-18T04:59:26.960852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length26.627907
Min length19

Characters and Unicode

Total characters1145
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

Unique41 ?
Unique (%)95.3%

Sample

1st row서울특별시 영등포구 여의도동 32번지 수정아파트 에이동 402호
2nd row서울특별시 영등포구 영등포동8가 76-1 삼환아파트 103동 402호
3rd row서울특별시 영등포구 여의도동 40번지
4th row서울특별시 영등포구 여의도동 40번지 장미아파트 B동 1106호
5th row서울특별시 영등포구 신길동 67-1 경남아파트 105동 102호
ValueCountFrequency (%)
서울특별시 43
20.3%
영등포구 43
20.3%
신길동 16
 
7.5%
여의도동 8
 
3.8%
당산동4가 4
 
1.9%
당산동6가 3
 
1.4%
당산현대5차아파트 2
 
0.9%
영등포동7가 2
 
0.9%
30-1번지 2
 
0.9%
311-1 2
 
0.9%
Other values (81) 87
41.0%
2024-04-18T04:59:27.265638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
14.8%
동 57
 
5.0%
포 49
 
4.3%
영 49
 
4.3%
등 49
 
4.3%
1 48
 
4.2%
서 43
 
3.8%
구 43
 
3.8%
울 43
 
3.8%
시 43
 
3.8%
Other values (64) 552
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
60.6%
Decimal Number 250
 
21.8%
Space Separator 169
 
14.8%
Dash Punctuation 30
 
2.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
8.2%
포 49
 
7.1%
영 49
 
7.1%
등 49
 
7.1%
서 43
 
6.2%
구 43
 
6.2%
울 43
 
6.2%
시 43
 
6.2%
별 43
 
6.2%
특 43
 
6.2%
Other values (50) 232
33.4%
Decimal Number
ValueCountFrequency (%)
1 48
19.2%
0 36
14.4%
2 28
11.2%
3 28
11.2%
4 25
10.0%
6 24
9.6%
5 18
 
7.2%
8 17
 
6.8%
9 13
 
5.2%
7 13
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
60.6%
Common 449
39.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
8.2%
포 49
 
7.1%
영 49
 
7.1%
등 49
 
7.1%
서 43
 
6.2%
구 43
 
6.2%
울 43
 
6.2%
시 43
 
6.2%
별 43
 
6.2%
특 43
 
6.2%
Other values (50) 232
33.4%
Common
ValueCountFrequency (%)
169
37.6%
1 48
 
10.7%
0 36
 
8.0%
- 30
 
6.7%
2 28
 
6.2%
3 28
 
6.2%
4 25
 
5.6%
6 24
 
5.3%
5 18
 
4.0%
8 17
 
3.8%
Other values (2) 26
 
5.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
60.6%
ASCII 451
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
37.5%
1 48
 
10.6%
0 36
 
8.0%
- 30
 
6.7%
2 28
 
6.2%
3 28
 
6.2%
4 25
 
5.5%
6 24
 
5.3%
5 18
 
4.0%
8 17
 
3.8%
Other values (4) 28
 
6.2%
Hangul
ValueCountFrequency (%)
동 57
 
8.2%
포 49
 
7.1%
영 49
 
7.1%
등 49
 
7.1%
서 43
 
6.2%
구 43
 
6.2%
울 43
 
6.2%
시 43
 
6.2%
별 43
 
6.2%
특 43
 
6.2%
Other values (50) 232
33.4%

도로명주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-18T04:59:27.469301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length37.372093
Min length25

Characters and Unicode

Total characters1607
Distinct characters97
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

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 국제금융로7길 1, 에이동 402호 (여의도동, 수정아파트)
2nd row서울특별시 영등포구 영중로 145, 103동 402호 (영등포동8가, 삼환아파트)
3rd row서울특별시 영등포구 국제금융로7길 32, 비동 705호 (여의도동, 장미아파트)
4th row서울특별시 영등포구 국제금융로7길 32, B동 1106호 (여의도동, 장미아파트)
5th row서울특별시 영등포구 영등포로 351, 105동 102호 (신길동, 경남아파트)
ValueCountFrequency (%)
서울특별시 43
 
15.0%
영등포구 43
 
15.0%
신길동 16
 
5.6%
여의도동 8
 
2.8%
당산동4가 4
 
1.4%
국제금융로7길 4
 
1.4%
2층 4
 
1.4%
17 4
 
1.4%
102동 3
 
1.0%
당산동6가 3
 
1.0%
Other values (132) 154
53.8%
2024-04-18T04:59:27.774936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
 
15.1%
1 71
 
4.4%
동 64
 
4.0%
영 58
 
3.6%
등 54
 
3.4%
포 54
 
3.4%
길 53
 
3.3%
, 49
 
3.0%
시 44
 
2.7%
서 43
 
2.7%
Other values (87) 874
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
56.6%
Decimal Number 304
 
18.9%
Space Separator 243
 
15.1%
Other Punctuation 49
 
3.0%
Close Punctuation 43
 
2.7%
Open Punctuation 43
 
2.7%
Dash Punctuation 13
 
0.8%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
7.0%
영 58
 
6.4%
등 54
 
5.9%
포 54
 
5.9%
길 53
 
5.8%
시 44
 
4.8%
서 43
 
4.7%
로 43
 
4.7%
울 43
 
4.7%
구 43
 
4.7%
Other values (70) 410
45.1%
Decimal Number
ValueCountFrequency (%)
1 71
23.4%
2 39
12.8%
0 37
12.2%
7 31
10.2%
3 30
9.9%
5 29
9.5%
4 28
 
9.2%
6 21
 
6.9%
8 10
 
3.3%
9 8
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
243
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
56.6%
Common 695
43.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
7.0%
영 58
 
6.4%
등 54
 
5.9%
포 54
 
5.9%
길 53
 
5.8%
시 44
 
4.8%
서 43
 
4.7%
로 43
 
4.7%
울 43
 
4.7%
구 43
 
4.7%
Other values (70) 410
45.1%
Common
ValueCountFrequency (%)
243
35.0%
1 71
 
10.2%
, 49
 
7.1%
) 43
 
6.2%
( 43
 
6.2%
2 39
 
5.6%
0 37
 
5.3%
7 31
 
4.5%
3 30
 
4.3%
5 29
 
4.2%
Other values (5) 80
 
11.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
56.6%
ASCII 698
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
34.8%
1 71
 
10.2%
, 49
 
7.0%
) 43
 
6.2%
( 43
 
6.2%
2 39
 
5.6%
0 37
 
5.3%
7 31
 
4.4%
3 30
 
4.3%
5 29
 
4.2%
Other values (7) 83
 
11.9%
Hangul
ValueCountFrequency (%)
동 64
 
7.0%
영 58
 
6.4%
등 54
 
5.9%
포 54
 
5.9%
길 53
 
5.8%
시 44
 
4.8%
서 43
 
4.7%
로 43
 
4.7%
울 43
 
4.7%
구 43
 
4.7%
Other values (70) 410
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing16
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean7309.9259
Minimum7213
Maximum7431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:27.883724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7213
5-th percentile7217.5
Q17237
median7318
Q37370.5
95-th percentile7420.1
Maximum7431
Range218
Interquartile range (IQR)133.5

Descriptive statistics

Standard deviation72.051224
Coefficient of variation (CV)0.0098566285
Kurtosis-1.3815832
Mean7309.9259
Median Absolute Deviation (MAD)67
Skewness0.0508641
Sum197368
Variance5191.3789
MonotonicityNot monotonic
2024-04-18T04:59:27.985126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7374 2
 
4.7%
7222 2
 
4.7%
7247 1
 
2.3%
7315 1
 
2.3%
7251 1
 
2.3%
7259 1
 
2.3%
7223 1
 
2.3%
7318 1
 
2.3%
7395 1
 
2.3%
7430 1
 
2.3%
Other values (15) 15
34.9%
(Missing) 16
37.2%
ValueCountFrequency (%)
7213 1
2.3%
7216 1
2.3%
7221 1
2.3%
7222 2
4.7%
7223 1
2.3%
7227 1
2.3%
7247 1
2.3%
7251 1
2.3%
7259 1
2.3%
7265 1
2.3%
ValueCountFrequency (%)
7431 1
2.3%
7430 1
2.3%
7397 1
2.3%
7395 1
2.3%
7386 1
2.3%
7374 2
4.7%
7367 1
2.3%
7361 1
2.3%
7344 1
2.3%
7342 1
2.3%

사업장명
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-18T04:59:28.158937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length7.9767442
Min length2

Characters and Unicode

Total characters343
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row다이요홈스테이
2nd rowkelly homestay
3rd row서울민박
4th row소디(sody)
5th row보나
ValueCountFrequency (%)
house 4
 
6.0%
게스트하우스 3
 
4.5%
스카이 2
 
3.0%
stay 2
 
3.0%
sweet 2
 
3.0%
home 2
 
3.0%
스테이 2
 
3.0%
경성 1
 
1.5%
오늘스테이 1
 
1.5%
앨스가든파티 1
 
1.5%
Other values (47) 47
70.1%
2024-04-18T04:59:28.448924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 29
 
8.5%
24
 
7.0%
이 14
 
4.1%
e 13
 
3.8%
o 12
 
3.5%
하 12
 
3.5%
우 12
 
3.5%
s 11
 
3.2%
u 7
 
2.0%
t 7
 
2.0%
Other values (111) 202
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
56.9%
Lowercase Letter 93
27.1%
Space Separator 24
 
7.0%
Uppercase Letter 21
 
6.1%
Decimal Number 4
 
1.2%
Close Punctuation 3
 
0.9%
Open Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 29
 
14.9%
이 14
 
7.2%
하 12
 
6.2%
우 12
 
6.2%
테 7
 
3.6%
트 6
 
3.1%
다 5
 
2.6%
게 5
 
2.6%
카 4
 
2.1%
파 3
 
1.5%
Other values (74) 98
50.3%
Lowercase Letter
ValueCountFrequency (%)
e 13
14.0%
o 12
12.9%
s 11
11.8%
u 7
 
7.5%
t 7
 
7.5%
a 7
 
7.5%
y 6
 
6.5%
l 6
 
6.5%
n 3
 
3.2%
d 3
 
3.2%
Other values (9) 18
19.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
23.8%
H 4
19.0%
E 3
14.3%
B 2
 
9.5%
D 1
 
4.8%
L 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
O 1
 
4.8%
M 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
8 1
25.0%
6 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
56.9%
Latin 114
33.2%
Common 34
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 29
 
14.9%
이 14
 
7.2%
하 12
 
6.2%
우 12
 
6.2%
테 7
 
3.6%
트 6
 
3.1%
다 5
 
2.6%
게 5
 
2.6%
카 4
 
2.1%
파 3
 
1.5%
Other values (74) 98
50.3%
Latin
ValueCountFrequency (%)
e 13
 
11.4%
o 12
 
10.5%
s 11
 
9.6%
u 7
 
6.1%
t 7
 
6.1%
a 7
 
6.1%
y 6
 
5.3%
l 6
 
5.3%
S 5
 
4.4%
H 4
 
3.5%
Other values (20) 36
31.6%
Common
ValueCountFrequency (%)
24
70.6%
) 3
 
8.8%
( 3
 
8.8%
2 1
 
2.9%
8 1
 
2.9%
6 1
 
2.9%
5 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
56.9%
ASCII 148
43.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 29
 
14.9%
이 14
 
7.2%
하 12
 
6.2%
우 12
 
6.2%
테 7
 
3.6%
트 6
 
3.1%
다 5
 
2.6%
게 5
 
2.6%
카 4
 
2.1%
파 3
 
1.5%
Other values (74) 98
50.3%
ASCII
ValueCountFrequency (%)
24
16.2%
e 13
 
8.8%
o 12
 
8.1%
s 11
 
7.4%
u 7
 
4.7%
t 7
 
4.7%
a 7
 
4.7%
y 6
 
4.1%
l 6
 
4.1%
S 5
 
3.4%
Other values (27) 50
33.8%

최종수정일자
Date

Distinct35
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2014-10-27 00:00:00
Maximum2024-04-16 16:03:32
2024-04-18T04:59:28.548757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:59:28.652391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
U
28 
I
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 28
65.1%
I 15
34.9%

Length

2024-04-18T04:59:29.014842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:29.086869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
65.1%
i 15
34.9%

데이터갱신일자
Categorical

Distinct14
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
2018-08-31 23:59:00.0
14 
2023-01-13 02:40:00.0
7 
2023-11-30 22:00:00.0
5 
2023-12-03 23:00:00.0
5 
2018-10-03 02:35:00.0
2 
Other values (9)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)18.6%

Sample

1st row2018-08-31 23:59:00.0
2nd row2023-01-13 02:40:00.0
3rd row2018-08-31 23:59:00.0
4th row2018-08-31 23:59:00.0
5th row2023-01-13 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:00.0 14
32.6%
2023-01-13 02:40:00.0 7
16.3%
2023-11-30 22:00:00.0 5
 
11.6%
2023-12-03 23:00:00.0 5
 
11.6%
2018-10-03 02:35:00.0 2
 
4.7%
2022-12-09 02:40:00.0 2
 
4.7%
2022-11-02 02:40:00.0 1
 
2.3%
2022-10-16 02:40:00.0 1
 
2.3%
2020-06-14 02:40:00.0 1
 
2.3%
2023-03-25 02:40:00.0 1
 
2.3%
Other values (4) 4
 
9.3%

Length

2024-04-18T04:59:29.162950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 15
17.4%
2018-08-31 14
16.3%
23:59:00.0 14
16.3%
2023-01-13 7
8.1%
2023-11-30 6
 
7.0%
2023-12-03 6
 
7.0%
22:00:00.0 5
 
5.8%
23:00:00.0 5
 
5.8%
2022-12-09 2
 
2.3%
02:35:00.0 2
 
2.3%
Other values (9) 10
11.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192186.63
Minimum190663.92
Maximum194370.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:29.247147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190663.92
5-th percentile190864.18
Q1191308.21
median192010.03
Q3192859.24
95-th percentile194101.17
Maximum194370.33
Range3706.4103
Interquartile range (IQR)1551.0308

Descriptive statistics

Standard deviation1063.8176
Coefficient of variation (CV)0.005535336
Kurtosis-0.81401034
Mean192186.63
Median Absolute Deviation (MAD)752.6475
Skewness0.56334046
Sum8264025
Variance1131707.8
MonotonicityNot monotonic
2024-04-18T04:59:29.344065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
191308.2142 2
 
4.7%
194118.138 2
 
4.7%
191540.8905 2
 
4.7%
191163.02 2
 
4.7%
192090.751653299 1
 
2.3%
191845.3284 1
 
2.3%
193948.4674 1
 
2.3%
192566.636 1
 
2.3%
191773.426916022 1
 
2.3%
191962.9644 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
190663.9169 1
2.3%
190848.6063 1
2.3%
190856.17127591 1
2.3%
190936.271148963 1
2.3%
190983.057920594 1
2.3%
191022.1301 1
2.3%
191163.02 2
4.7%
191180.347703851 1
2.3%
191257.378 1
2.3%
191308.2142 2
4.7%
ValueCountFrequency (%)
194370.3272 1
2.3%
194118.138 2
4.7%
193948.4674 1
2.3%
193927.9661 1
2.3%
193816.1168 1
2.3%
193728.3266 1
2.3%
193531.2467 1
2.3%
193234.0457 1
2.3%
192950.5923 1
2.3%
192907.502488322 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446250.22
Minimum444174.08
Maximum448106.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:29.449840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444174.08
5-th percentile444305.96
Q1445552.97
median446148.79
Q3447056.5
95-th percentile448066.18
Maximum448106.74
Range3932.6597
Interquartile range (IQR)1503.5286

Descriptive statistics

Standard deviation1120.4906
Coefficient of variation (CV)0.0025109021
Kurtosis-0.92115749
Mean446250.22
Median Absolute Deviation (MAD)819.9369
Skewness-0.11800405
Sum19188760
Variance1255499.2
MonotonicityNot monotonic
2024-04-18T04:59:29.551031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
448106.7378 2
 
4.7%
446801.6322 2
 
4.7%
447472.601 2
 
4.7%
447493.2669 2
 
4.7%
444174.078108745 1
 
2.3%
445616.294 1
 
2.3%
446148.7882 1
 
2.3%
445082.0895 1
 
2.3%
444543.502598592 1
 
2.3%
446884.3447 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
444174.078108745 1
2.3%
444176.578818542 1
2.3%
444279.5681 1
2.3%
444543.502598592 1
2.3%
444817.19009615 1
2.3%
445009.5971 1
2.3%
445056.458113161 1
2.3%
445082.0895 1
2.3%
445130.8365 1
2.3%
445151.049722556 1
2.3%
ValueCountFrequency (%)
448106.7378 2
4.7%
448081.363632237 1
2.3%
447929.562732631 1
2.3%
447493.2669 2
4.7%
447472.601 2
4.7%
447449.3435 1
2.3%
447262.5404 1
2.3%
447144.2756 1
2.3%
446968.7251 1
2.3%
446956.826234466 1
2.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
외국인관광 도시민박업
31 
<NA>
12 

Length

Max length11
Median length11
Mean length9.0465116
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:29.657489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:29.736438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 31
41.9%
도시민박업 31
41.9%
na 12
 
16.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

지역구분명
Categorical

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
25 
일반주거지역
9 
준공업지역
4 
주거지역
3 
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.5813953
Min length4

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
58.1%
일반주거지역 9
 
20.9%
준공업지역 4
 
9.3%
주거지역 3
 
7.0%
일반상업지역 1
 
2.3%
준주거지역 1
 
2.3%

Length

2024-04-18T04:59:29.823433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:29.914507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
58.1%
일반주거지역 9
 
20.9%
준공업지역 4
 
9.3%
주거지역 3
 
7.0%
일반상업지역 1
 
2.3%
준주거지역 1
 
2.3%

총층수
Categorical

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
27 
<NA>
12 
20
 
1
1
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.8604651
Min length1

Unique

Unique4 ?
Unique (%)9.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
62.8%
<NA> 12
27.9%
20 1
 
2.3%
1 1
 
2.3%
3 1
 
2.3%
5 1
 
2.3%

Length

2024-04-18T04:59:30.011255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:30.095383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
62.8%
na 12
27.9%
20 1
 
2.3%
1 1
 
2.3%
3 1
 
2.3%
5 1
 
2.3%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing40
Missing (%)93.0%
Memory size476.0 B
2024-04-18T04:59:30.199221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4
Min length2

Characters and Unicode

Total characters12
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row아파트지역
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
아파트지역 1
33.3%
주택가주변 1
33.3%
기타 1
33.3%
2024-04-18T04:59:30.398761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

건물용도명
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
27 
아파트
10 
단독주택
5 
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.0232558
Min length3

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
62.8%
아파트 10
 
23.3%
단독주택 5
 
11.6%
다가구용 주택(공동주택적용) 1
 
2.3%

Length

2024-04-18T04:59:30.494813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:30.571554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
61.4%
아파트 10
 
22.7%
단독주택 5
 
11.4%
다가구용 1
 
2.3%
주택(공동주택적용 1
 
2.3%

지상층수
Categorical

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
25 
<NA>
12 
2
3 
17
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.8604651
Min length1

Unique

Unique3 ?
Unique (%)7.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
58.1%
<NA> 12
27.9%
2 3
 
7.0%
17 1
 
2.3%
4 1
 
2.3%
5 1
 
2.3%

Length

2024-04-18T04:59:30.660598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:30.745266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
58.1%
na 12
27.9%
2 3
 
7.0%
17 1
 
2.3%
4 1
 
2.3%
5 1
 
2.3%

지하층수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
28 
<NA>
12 
1
3 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
65.1%
<NA> 12
27.9%
1 3
 
7.0%

Length

2024-04-18T04:59:30.840753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:30.926392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
65.1%
na 12
27.9%
1 3
 
7.0%

객실수
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
14 
<NA>
12 
2
6 
3
6 
1
5 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 14
32.6%
<NA> 12
27.9%
2 6
14.0%
3 6
14.0%
1 5
 
11.6%

Length

2024-04-18T04:59:31.048228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:31.191335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
32.6%
na 12
27.9%
2 6
14.0%
3 6
14.0%
1 5
 
11.6%

건축연면적
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
29 
<NA>
12 
65
 
1
18
 
1

Length

Max length4
Median length1
Mean length1.8837209
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
67.4%
<NA> 12
27.9%
65 1
 
2.3%
18 1
 
2.3%

Length

2024-04-18T04:59:31.338747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:31.464923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
67.4%
na 12
27.9%
65 1
 
2.3%
18 1
 
2.3%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing41
Missing (%)95.3%
Memory size476.0 B
2024-04-18T04:59:31.607336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16.5
Mean length16.5
Min length15

Characters and Unicode

Total characters33
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
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 rowSky Guest House
2nd rowMira's Guest House
ValueCountFrequency (%)
guest 2
33.3%
house 2
33.3%
sky 1
16.7%
mira's 1
16.7%
2024-04-18T04:59:31.866420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 5
15.2%
4
12.1%
u 4
12.1%
e 4
12.1%
G 2
 
6.1%
t 2
 
6.1%
H 2
 
6.1%
o 2
 
6.1%
S 1
 
3.0%
k 1
 
3.0%
Other values (6) 6
18.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22
66.7%
Uppercase Letter 6
 
18.2%
Space Separator 4
 
12.1%
Other Punctuation 1
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 5
22.7%
u 4
18.2%
e 4
18.2%
t 2
 
9.1%
o 2
 
9.1%
k 1
 
4.5%
y 1
 
4.5%
i 1
 
4.5%
r 1
 
4.5%
a 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
33.3%
H 2
33.3%
S 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28
84.8%
Common 5
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 5
17.9%
u 4
14.3%
e 4
14.3%
G 2
 
7.1%
t 2
 
7.1%
H 2
 
7.1%
o 2
 
7.1%
S 1
 
3.6%
k 1
 
3.6%
y 1
 
3.6%
Other values (4) 4
14.3%
Common
ValueCountFrequency (%)
4
80.0%
' 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 5
15.2%
4
12.1%
u 4
12.1%
e 4
12.1%
G 2
 
6.1%
t 2
 
6.1%
H 2
 
6.1%
o 2
 
6.1%
S 1
 
3.0%
k 1
 
3.0%
Other values (6) 6
18.2%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing41
Missing (%)95.3%
Memory size476.0 B
2024-04-18T04:59:31.976235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36.5
Mean length36.5
Min length34

Characters and Unicode

Total characters73
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
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 rowForeign tourism city Accommodation
2nd rowHome-stay Business for foreign tourists
ValueCountFrequency (%)
foreign 2
22.2%
tourism 1
11.1%
city 1
11.1%
accommodation 1
11.1%
home-stay 1
11.1%
business 1
11.1%
for 1
11.1%
tourists 1
11.1%
2024-04-18T04:59:32.182624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 9
12.3%
s 7
9.6%
i 7
9.6%
7
9.6%
t 6
 
8.2%
r 5
 
6.8%
e 4
 
5.5%
n 4
 
5.5%
m 4
 
5.5%
u 3
 
4.1%
Other values (11) 17
23.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 61
83.6%
Space Separator 7
 
9.6%
Uppercase Letter 4
 
5.5%
Dash Punctuation 1
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 9
14.8%
s 7
11.5%
i 7
11.5%
t 6
9.8%
r 5
8.2%
e 4
6.6%
n 4
6.6%
m 4
6.6%
u 3
 
4.9%
c 3
 
4.9%
Other values (5) 9
14.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
H 1
25.0%
B 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 65
89.0%
Common 8
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 9
13.8%
s 7
10.8%
i 7
10.8%
t 6
9.2%
r 5
 
7.7%
e 4
 
6.2%
n 4
 
6.2%
m 4
 
6.2%
u 3
 
4.6%
c 3
 
4.6%
Other values (9) 13
20.0%
Common
ValueCountFrequency (%)
7
87.5%
- 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 9
12.3%
s 7
9.6%
i 7
9.6%
7
9.6%
t 6
 
8.2%
r 5
 
6.8%
e 4
 
5.5%
n 4
 
5.5%
m 4
 
5.5%
u 3
 
4.1%
Other values (11) 17
23.3%

선박총톤수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:32.288087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:32.380683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

선박척수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:32.470230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:32.547389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

무대면적
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:32.638652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:32.718533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

좌석수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:32.799707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:32.879800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:32.960809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:33.051034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)80.6%
Missing12
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean97.489355
Minimum0
Maximum217.66
Zeros3
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:33.127427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159.04
median84.87
Q3134.76
95-th percentile197.68
Maximum217.66
Range217.66
Interquartile range (IQR)75.72

Descriptive statistics

Standard deviation61.280144
Coefficient of variation (CV)0.62858293
Kurtosis-0.86685769
Mean97.489355
Median Absolute Deviation (MAD)48.85
Skewness0.13128145
Sum3022.17
Variance3755.2561
MonotonicityNot monotonic
2024-04-18T04:59:33.212331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 3
 
7.0%
133.72 2
 
4.7%
59.04 2
 
4.7%
197.68 2
 
4.7%
84.87 2
 
4.7%
135.8 1
 
2.3%
35.42 1
 
2.3%
59.86 1
 
2.3%
18.0 1
 
2.3%
40.66 1
 
2.3%
Other values (15) 15
34.9%
(Missing) 12
27.9%
ValueCountFrequency (%)
0.0 3
7.0%
18.0 1
 
2.3%
35.42 1
 
2.3%
36.0 1
 
2.3%
40.66 1
 
2.3%
59.04 2
4.7%
59.86 1
 
2.3%
59.96 1
 
2.3%
64.66 1
 
2.3%
65.12 1
 
2.3%
ValueCountFrequency (%)
217.66 1
2.3%
197.68 2
4.7%
165.29 1
2.3%
163.87 1
2.3%
163.64 1
2.3%
156.99 1
2.3%
135.8 1
2.3%
133.72 2
4.7%
129.47 1
2.3%
126.02 1
2.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
31 
<NA>
12 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
72.1%
<NA> 12
 
27.9%

Length

2024-04-18T04:59:33.301545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:33.379994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
72.1%
na 12
 
27.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

자본금
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
30 
<NA>
12 
60000000
 
1

Length

Max length8
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
69.8%
<NA> 12
 
27.9%
60000000 1
 
2.3%

Length

2024-04-18T04:59:33.466741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:59:33.551227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
69.8%
na 12
 
27.9%
60000000 1
 
2.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)67.7%
Missing12
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean97.548387
Minimum0
Maximum218
Zeros3
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-18T04:59:33.630270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159
median85
Q3135
95-th percentile198
Maximum218
Range218
Interquartile range (IQR)76

Descriptive statistics

Standard deviation61.336144
Coefficient of variation (CV)0.62877661
Kurtosis-0.86104244
Mean97.548387
Median Absolute Deviation (MAD)49
Skewness0.13361345
Sum3024
Variance3762.1226
MonotonicityNot monotonic
2024-04-18T04:59:33.710307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3
 
7.0%
134 2
 
4.7%
60 2
 
4.7%
164 2
 
4.7%
59 2
 
4.7%
115 2
 
4.7%
65 2
 
4.7%
85 2
 
4.7%
198 2
 
4.7%
157 1
 
2.3%
Other values (11) 11
25.6%
(Missing) 12
27.9%
ValueCountFrequency (%)
0 3
7.0%
18 1
 
2.3%
35 1
 
2.3%
36 1
 
2.3%
41 1
 
2.3%
59 2
4.7%
60 2
4.7%
65 2
4.7%
83 1
 
2.3%
85 2
4.7%
ValueCountFrequency (%)
218 1
2.3%
198 2
4.7%
165 1
2.3%
164 2
4.7%
157 1
2.3%
136 1
2.3%
134 2
4.7%
129 1
2.3%
126 1
2.3%
120 1
2.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03180000CDFI226221201300000120130102<NA>3폐업3폐업20160929<NA><NA><NA><NA><NA>150-883서울특별시 영등포구 여의도동 32번지 수정아파트 에이동 402호서울특별시 영등포구 국제금융로7길 1, 에이동 402호 (여의도동, 수정아파트)<NA>다이요홈스테이2016-09-30I2018-08-31 23:59:00.0<NA>193816.1168446762.1607외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0165.29<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>165
13180000CDFI226221201300000220130102<NA>1영업/정상13영업중<NA><NA><NA><NA>2671-2485<NA>150-989서울특별시 영등포구 영등포동8가 76-1 삼환아파트 103동 402호서울특별시 영등포구 영중로 145, 103동 402호 (영등포동8가, 삼환아파트)<NA>kelly homestay2023-01-11U2023-01-13 02:40:00.0<NA>191540.8905447472.601외국인관광 도시민박업<NA>준공업지역0<NA><NA><NA>아파트0010<NA><NA>00<NA>00<NA>084.87<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>85
23180000CDFI226221201300000320130208<NA>3폐업3폐업20160704<NA><NA><NA>070-4001-0590<NA>150-010서울특별시 영등포구 여의도동 40번지서울특별시 영등포구 국제금융로7길 32, 비동 705호 (여의도동, 장미아파트)<NA>서울민박2016-07-06I2018-08-31 23:59:00.0<NA>194118.138446801.6322외국인관광 도시민박업<NA>주거지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0133.72<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>134
33180000CDFI226221201300000420130410<NA>3폐업3폐업20141209<NA><NA><NA>02-6334-1334<NA>150-888서울특별시 영등포구 여의도동 40번지 장미아파트 B동 1106호서울특별시 영등포구 국제금융로7길 32, B동 1106호 (여의도동, 장미아파트)<NA>소디(sody)2014-12-10I2018-08-31 23:59:00.0<NA>194118.138446801.6322외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0133.72<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>134
43180000CDFI226221201300000520130507<NA>1영업/정상13영업중<NA><NA><NA><NA>02-847-1448<NA>150-837서울특별시 영등포구 신길동 67-1 경남아파트 105동 102호서울특별시 영등포구 영등포로 351, 105동 102호 (신길동, 경남아파트)<NA>보나2023-01-11U2023-01-13 02:40:00.0<NA>192724.1605445943.9859외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA>아파트0020<NA><NA>00<NA>00<NA>059.96<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>60
53180000CDFI226221201300000620130519<NA>3폐업3폐업20141114<NA><NA><NA>02-784-0755<NA>150-875서울특별시 영등포구 여의도동 21-2번지 공작아파트 A동 805호서울특별시 영등포구 여의대로6길 17, A동 805호 (여의도동, 공작아파트)<NA>쁘띠네집2014-11-14I2018-08-31 23:59:00.0<NA>193728.3266447144.2756외국인관광 도시민박업<NA>주거지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0126.02<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>126
63180000CDFI226221201300000720130521<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150-837서울특별시 영등포구 신길동 65-101서울특별시 영등포구 영등포로79길 7-4 (신길동)<NA>Lodge 822023-01-11U2023-01-13 02:40:00.0<NA>192950.5923445813.899외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA>단독주택0030<NA><NA>00<NA>00<NA>0163.64<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>164
73180000CDFI226221201300000820130531<NA>3폐업3폐업20141027<NA><NA><NA><NA><NA>150-010서울특별시 영등포구 여의도동 48-2번지 대우트럼프월드2차 비동 3602호서울특별시 영등포구 여의동로 97, 비동 3602호 (여의도동, 대우트럼프월드2차)<NA>스카이트럼프2014-10-27I2018-08-31 23:59:00.0<NA>193531.2467446137.41외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0163.87<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>164
83180000CDFI226221201300000920130620<NA>3폐업3폐업20181001<NA><NA><NA>02-6052-8290<NA>150-840서울특별시 영등포구 신길동 186-275번지서울특별시 영등포구 도신로51길 17-2 (신길동)<NA>스카이 게스트하우스2018-10-01U2018-10-03 02:35:00.0<NA>192349.3812445634.2161외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>2030Sky Guest HouseForeign tourism city Accommodation00<NA>00<NA>0120.46<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>120
93180000CDFI226221201300001020130812<NA>3폐업3폐업20150225<NA><NA><NA><NA><NA>150-840서울특별시 영등포구 신길동 4935번지 신기목련아파트 101동 1704호서울특별시 영등포구 신길로42가길 34, 101층 1704호 (신길동, 신기목련아파트)<NA>스마일홈스테이2015-02-26I2018-08-31 23:59:00.0<NA>192417.2795445130.8365외국인관광 도시민박업<NA>주거지역20아파트지역<NA><NA>아파트17000<NA><NA>00<NA>00<NA>059.04<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>59
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
333180000CDFI22622120230000032023-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 3909서울특별시 영등포구 신풍로 72-5 (신길동)7431오늘스테이2024-01-18 15:44:12U2023-11-30 22:00:00.0<NA>192343.095755444176.578819<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343180000CDFI22622120230000042023-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 3725서울특별시 영등포구 신풍로10길 2-5 (신길동)7430도담스테이2024-01-18 15:45:27U2023-11-30 22:00:00.0<NA>192090.751653444174.078109<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353180000CDFI22622120230000052023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 261-16서울특별시 영등포구 신길로33길 26, 2층 (신길동)7395stay 올랑올랑2024-01-18 15:47:17U2023-11-30 22:00:00.0<NA>191784.551046444817.190096<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363180000CDFI22622120230000062023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 64-19서울특별시 영등포구 영등포로67가길 19 (신길동)7318다니숲 스테이2024-01-18 15:48:32U2023-11-30 22:00:00.0<NA>192907.502488445867.57433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373180000CDFI22622120240000012024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동6가 289-3서울특별시 영등포구 당산로48길 13-1, 101호 (당산동6가)7223한리버파크 비앤스테이2024-04-08 16:58:38U2023-12-03 23:00:00.0<NA>191412.145421448081.363632<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383180000CDFI22622120240000022024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림동 231-24서울특별시 영등포구 도신로15다길 17, 101호 (도림동)7374정담2024-04-08 16:59:13U2023-12-03 23:00:00.0<NA>190936.271149445056.458113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393180000CDFI22622120240000032024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동3가 279서울특별시 영등포구 당산로28길 7, 3층 (당산동3가)7259당삼만실2024-04-08 16:59:40U2023-12-03 23:00:00.0<NA>190856.171276446956.826234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403180000CDFI22622120240000042024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림동 238-14서울특별시 영등포구 도림로113길 7-2 (도림동)7374체리티2024-04-08 17:00:18U2023-12-03 23:00:00.0<NA>190983.057921445151.049723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413180000CDFI22622120240000052024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동6가 63 거양빌딩서울특별시 영등포구 영신로40길 15, 거양빌딩 401호 (영등포동6가)7251부띠끄 영등포2024-04-08 17:01:06U2023-12-03 23:00:00.0<NA>191353.55303446581.883286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423180000CDFI22622120240000062024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 186-330서울특별시 영등포구 도신로51길 14-4, 201호 (신길동)7315미카 BNB2024-04-16 16:03:32I2023-12-03 23:08:00.0<NA>192321.30761445576.67631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>