Overview

Dataset statistics

Number of variables61
Number of observations125
Missing cells3190
Missing cells (%)41.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.1 KiB
Average record size in memory525.1 B

Variable types

Categorical25
Text7
DateTime5
Unsupported16
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,관광숙박업상세명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17403/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.3%)Imbalance
영업상태코드 is highly imbalanced (57.2%)Imbalance
영업상태명 is highly imbalanced (57.2%)Imbalance
상세영업상태코드 is highly imbalanced (57.2%)Imbalance
상세영업상태명 is highly imbalanced (57.2%)Imbalance
데이터갱신구분 is highly imbalanced (68.9%)Imbalance
문화사업자구분명 is highly imbalanced (75.8%)Imbalance
지역구분명 is highly imbalanced (75.9%)Imbalance
주변환경명 is highly imbalanced (80.5%)Imbalance
보험기관명 is highly imbalanced (83.7%)Imbalance
건물용도명 is highly imbalanced (82.3%)Imbalance
지하층수 is highly imbalanced (67.0%)Imbalance
영문상호주소 is highly imbalanced (77.0%)Imbalance
자본금 is highly imbalanced (69.7%)Imbalance
관광숙박업상세명 is highly imbalanced (63.8%)Imbalance
폐업일자 has 105 (84.0%) missing valuesMissing
휴업시작일자 has 122 (97.6%) missing valuesMissing
휴업종료일자 has 122 (97.6%) missing valuesMissing
재개업일자 has 125 (100.0%) missing valuesMissing
전화번호 has 9 (7.2%) missing valuesMissing
소재지면적 has 125 (100.0%) missing valuesMissing
소재지우편번호 has 68 (54.4%) missing valuesMissing
업태구분명 has 125 (100.0%) missing valuesMissing
총층수 has 108 (86.4%) missing valuesMissing
제작취급품목내용 has 125 (100.0%) missing valuesMissing
지상층수 has 108 (86.4%) missing valuesMissing
객실수 has 108 (86.4%) missing valuesMissing
건축연면적 has 108 (86.4%) missing valuesMissing
영문상호명 has 114 (91.2%) missing valuesMissing
선박제원 has 125 (100.0%) missing valuesMissing
기념품종류 has 125 (100.0%) missing valuesMissing
시설면적 has 108 (86.4%) missing valuesMissing
놀이기구수내역 has 125 (100.0%) missing valuesMissing
방송시설유무 has 125 (100.0%) missing valuesMissing
발전시설유무 has 125 (100.0%) missing valuesMissing
의무실유무 has 125 (100.0%) missing valuesMissing
안내소유무 has 125 (100.0%) missing valuesMissing
기획여행보험시작일자 has 125 (100.0%) missing valuesMissing
기획여행보험종료일자 has 125 (100.0%) missing valuesMissing
보험시작일자 has 125 (100.0%) missing valuesMissing
보험종료일자 has 125 (100.0%) missing valuesMissing
부대시설내역 has 125 (100.0%) missing valuesMissing
시설규모 has 108 (86.4%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
제작취급품목내용 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
총층수 has 10 (8.0%) zerosZeros
지상층수 has 7 (5.6%) zerosZeros
객실수 has 7 (5.6%) zerosZeros
건축연면적 has 11 (8.8%) zerosZeros

Reproduction

Analysis started2024-05-11 01:32:26.319145
Analysis finished2024-05-11 01:32:28.450835
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3010000
125 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 125
100.0%

Length

2024-05-11T01:32:29.068521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:29.596108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 125
100.0%

관리번호
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:32:30.465775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2500
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

Unique125 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031960000001
2nd rowCDFI2260031963000001
3rd rowCDFI2260031963000002
4th rowCDFI2260031969000001
5th rowCDFI2260031969000002
ValueCountFrequency (%)
cdfi2260031960000001 1
 
0.8%
cdfi2260032015000019 1
 
0.8%
cdfi2260032017000007 1
 
0.8%
cdfi2260032017000006 1
 
0.8%
cdfi2260032017000005 1
 
0.8%
cdfi2260032017000004 1
 
0.8%
cdfi2260032017000003 1
 
0.8%
cdfi2260032017000002 1
 
0.8%
cdfi2260032017000001 1
 
0.8%
cdfi2260032016000016 1
 
0.8%
Other values (115) 115
92.0%
2024-05-11T01:32:31.663318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 973
38.9%
2 404
16.2%
1 159
 
6.4%
6 158
 
6.3%
3 155
 
6.2%
C 125
 
5.0%
D 125
 
5.0%
F 125
 
5.0%
I 125
 
5.0%
9 37
 
1.5%
Other values (4) 114
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
80.0%
Uppercase Letter 500
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 973
48.6%
2 404
20.2%
1 159
 
8.0%
6 158
 
7.9%
3 155
 
7.8%
9 37
 
1.8%
5 37
 
1.8%
7 31
 
1.6%
8 26
 
1.3%
4 20
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 125
25.0%
D 125
25.0%
F 125
25.0%
I 125
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
80.0%
Latin 500
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 973
48.6%
2 404
20.2%
1 159
 
8.0%
6 158
 
7.9%
3 155
 
7.8%
9 37
 
1.8%
5 37
 
1.8%
7 31
 
1.6%
8 26
 
1.3%
4 20
 
1.0%
Latin
ValueCountFrequency (%)
C 125
25.0%
D 125
25.0%
F 125
25.0%
I 125
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 973
38.9%
2 404
16.2%
1 159
 
6.4%
6 158
 
6.3%
3 155
 
6.2%
C 125
 
5.0%
D 125
 
5.0%
F 125
 
5.0%
I 125
 
5.0%
9 37
 
1.5%
Other values (4) 114
 
4.6%

인허가일자
Date

Distinct119
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1960-06-10 00:00:00
Maximum2023-10-27 00:00:00
2024-05-11T01:32:32.391127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:32:33.139512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
124 
20110105
 
1

Length

Max length8
Median length4
Mean length4.032
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
99.2%
20110105 1
 
0.8%

Length

2024-05-11T01:32:33.782935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:34.170928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
99.2%
20110105 1
 
0.8%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
101 
3
20 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 101
80.8%
3 20
 
16.0%
2 3
 
2.4%
4 1
 
0.8%

Length

2024-05-11T01:32:34.631233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:34.953495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 101
80.8%
3 20
 
16.0%
2 3
 
2.4%
4 1
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
101 
폐업
20 
휴업
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.52
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 101
80.8%
폐업 20
 
16.0%
휴업 3
 
2.4%
취소/말소/만료/정지/중지 1
 
0.8%

Length

2024-05-11T01:32:35.327033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:35.662752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 101
80.8%
폐업 20
 
16.0%
휴업 3
 
2.4%
취소/말소/만료/정지/중지 1
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
101 
3
20 
2
 
3
31
 
1

Length

Max length2
Median length2
Mean length1.816
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 101
80.8%
3 20
 
16.0%
2 3
 
2.4%
31 1
 
0.8%

Length

2024-05-11T01:32:36.041008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:36.407529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 101
80.8%
3 20
 
16.0%
2 3
 
2.4%
31 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
101 
폐업
20 
휴업
 
3
등록취소
 
1

Length

Max length4
Median length3
Mean length2.824
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 101
80.8%
폐업 20
 
16.0%
휴업 3
 
2.4%
등록취소 1
 
0.8%

Length

2024-05-11T01:32:36.808754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:37.224854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 101
80.8%
폐업 20
 
16.0%
휴업 3
 
2.4%
등록취소 1
 
0.8%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing105
Missing (%)84.0%
Memory size1.1 KiB
Minimum2011-06-22 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T01:32:37.574301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:32:38.233301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing122
Missing (%)97.6%
Memory size1.1 KiB
Minimum2023-11-03 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T01:32:38.601782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:32:38.896689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing122
Missing (%)97.6%
Memory size1.1 KiB
Minimum2024-06-20 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T01:32:39.130006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:32:39.465157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct113
Distinct (%)97.4%
Missing9
Missing (%)7.2%
Memory size1.1 KiB
2024-05-11T01:32:40.028983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.7586207
Min length8

Characters and Unicode

Total characters1132
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)94.8%

Sample

1st row2268-7111
2nd row776-1811
3rd row776-8221
4th row753-3131
5th row752-7111
ValueCountFrequency (%)
02 4
 
3.3%
2020-4040 2
 
1.6%
2139-1000 2
 
1.6%
3425-8050 2
 
1.6%
02-771-7755 1
 
0.8%
02-3445-3887 1
 
0.8%
2277-1141 1
 
0.8%
2084-1000 1
 
0.8%
2264-7888 1
 
0.8%
755-0091 1
 
0.8%
Other values (106) 106
86.9%
2024-05-11T01:32:40.989037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 211
18.6%
2 165
14.6%
- 144
12.7%
7 130
11.5%
1 104
9.2%
5 77
 
6.8%
8 73
 
6.4%
6 64
 
5.7%
3 62
 
5.5%
9 51
 
4.5%
Other values (2) 51
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 978
86.4%
Dash Punctuation 144
 
12.7%
Space Separator 10
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
21.6%
2 165
16.9%
7 130
13.3%
1 104
10.6%
5 77
 
7.9%
8 73
 
7.5%
6 64
 
6.5%
3 62
 
6.3%
9 51
 
5.2%
4 41
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 211
18.6%
2 165
14.6%
- 144
12.7%
7 130
11.5%
1 104
9.2%
5 77
 
6.8%
8 73
 
6.4%
6 64
 
5.7%
3 62
 
5.5%
9 51
 
4.5%
Other values (2) 51
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 211
18.6%
2 165
14.6%
- 144
12.7%
7 130
11.5%
1 104
9.2%
5 77
 
6.8%
8 73
 
6.4%
6 64
 
5.7%
3 62
 
5.5%
9 51
 
4.5%
Other values (2) 51
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct41
Distinct (%)71.9%
Missing68
Missing (%)54.4%
Memory size1.1 KiB
2024-05-11T01:32:41.417335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.7368421
Min length6

Characters and Unicode

Total characters384
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

Unique29 ?
Unique (%)50.9%

Sample

1st row100260
2nd row100-011
3rd row100-845
4th row100-191
5th row100-042
ValueCountFrequency (%)
100-861 5
 
8.8%
100195 3
 
5.3%
100-250 2
 
3.5%
100-310 2
 
3.5%
100-021 2
 
3.5%
100-013 2
 
3.5%
100-080 2
 
3.5%
100-873 2
 
3.5%
100-011 2
 
3.5%
100-101 2
 
3.5%
Other values (31) 33
57.9%
2024-05-11T01:32:42.091559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 148
38.5%
1 90
23.4%
- 42
 
10.9%
8 26
 
6.8%
3 14
 
3.6%
2 13
 
3.4%
5 12
 
3.1%
4 12
 
3.1%
6 11
 
2.9%
9 9
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
89.1%
Dash Punctuation 42
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
43.3%
1 90
26.3%
8 26
 
7.6%
3 14
 
4.1%
2 13
 
3.8%
5 12
 
3.5%
4 12
 
3.5%
6 11
 
3.2%
9 9
 
2.6%
7 7
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 148
38.5%
1 90
23.4%
- 42
 
10.9%
8 26
 
6.8%
3 14
 
3.6%
2 13
 
3.4%
5 12
 
3.1%
4 12
 
3.1%
6 11
 
2.9%
9 9
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 148
38.5%
1 90
23.4%
- 42
 
10.9%
8 26
 
6.8%
3 14
 
3.6%
2 13
 
3.4%
5 12
 
3.1%
4 12
 
3.1%
6 11
 
2.9%
9 9
 
2.3%

지번주소
Text

Distinct122
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:32:42.604651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length19.768
Min length14

Characters and Unicode

Total characters2471
Distinct characters92
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

Unique119 ?
Unique (%)95.2%

Sample

1st row서울특별시 중구 남학동 13-2번지
2nd row서울특별시 중구 충무로1가 23-1
3rd row서울특별시 중구 을지로2가 199-33
4th row서울특별시 중구 을지로1가 188-3
5th row서울특별시 중구 남산동2가 1-1
ValueCountFrequency (%)
서울특별시 125
23.9%
중구 125
23.9%
남산동2가 11
 
2.1%
충무로2가 9
 
1.7%
광희동2가 8
 
1.5%
을지로5가 8
 
1.5%
회현동1가 7
 
1.3%
을지로6가 5
 
1.0%
북창동 5
 
1.0%
명동1가 5
 
1.0%
Other values (174) 214
41.0%
2024-05-11T01:32:43.536063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
414
16.8%
1 135
 
5.5%
서 127
 
5.1%
울 126
 
5.1%
특 125
 
5.1%
별 125
 
5.1%
시 125
 
5.1%
중 125
 
5.1%
구 125
 
5.1%
2 104
 
4.2%
Other values (82) 940
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1418
57.4%
Decimal Number 527
 
21.3%
Space Separator 414
 
16.8%
Dash Punctuation 104
 
4.2%
Uppercase Letter 4
 
0.2%
Math Symbol 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 127
9.0%
울 126
 
8.9%
특 125
 
8.8%
별 125
 
8.8%
시 125
 
8.8%
중 125
 
8.8%
구 125
 
8.8%
가 96
 
6.8%
동 77
 
5.4%
로 51
 
3.6%
Other values (64) 316
22.3%
Decimal Number
ValueCountFrequency (%)
1 135
25.6%
2 104
19.7%
3 63
12.0%
5 42
 
8.0%
9 37
 
7.0%
7 33
 
6.3%
0 33
 
6.3%
4 32
 
6.1%
6 28
 
5.3%
8 20
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
N 1
25.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1418
57.4%
Common 1049
42.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 127
9.0%
울 126
 
8.9%
특 125
 
8.8%
별 125
 
8.8%
시 125
 
8.8%
중 125
 
8.8%
구 125
 
8.8%
가 96
 
6.8%
동 77
 
5.4%
로 51
 
3.6%
Other values (64) 316
22.3%
Common
ValueCountFrequency (%)
414
39.5%
1 135
 
12.9%
2 104
 
9.9%
- 104
 
9.9%
3 63
 
6.0%
5 42
 
4.0%
9 37
 
3.5%
7 33
 
3.1%
0 33
 
3.1%
4 32
 
3.1%
Other values (4) 52
 
5.0%
Latin
ValueCountFrequency (%)
A 1
25.0%
N 1
25.0%
E 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1418
57.4%
ASCII 1053
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
414
39.3%
1 135
 
12.8%
2 104
 
9.9%
- 104
 
9.9%
3 63
 
6.0%
5 42
 
4.0%
9 37
 
3.5%
7 33
 
3.1%
0 33
 
3.1%
4 32
 
3.0%
Other values (8) 56
 
5.3%
Hangul
ValueCountFrequency (%)
서 127
9.0%
울 126
 
8.9%
특 125
 
8.8%
별 125
 
8.8%
시 125
 
8.8%
중 125
 
8.8%
구 125
 
8.8%
가 96
 
6.8%
동 77
 
5.4%
로 51
 
3.6%
Other values (64) 316
22.3%

도로명주소
Text

Distinct120
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:32:44.123981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length26.904
Min length20

Characters and Unicode

Total characters3363
Distinct characters147
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)92.0%

Sample

1st row서울특별시 중구 퇴계로 176 (남학동)
2nd row서울특별시 중구 명동8나길 10 (충무로1가)
3rd row서울특별시 중구 명동9가길 14 (을지로2가)
4th row서울특별시 중구 을지로 16 (을지로1가)
5th row서울특별시 중구 퇴계로 130 (남산동2가)
ValueCountFrequency (%)
서울특별시 125
 
18.5%
중구 125
 
18.5%
퇴계로 19
 
2.8%
남산동2가 11
 
1.6%
동호로 10
 
1.5%
충무로2가 9
 
1.3%
을지로5가 8
 
1.2%
광희동2가 8
 
1.2%
을지로 8
 
1.2%
회현동1가 7
 
1.0%
Other values (229) 347
51.3%
2024-05-11T01:32:45.277433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
 
16.5%
로 158
 
4.7%
서 127
 
3.8%
시 126
 
3.7%
중 126
 
3.7%
울 126
 
3.7%
( 125
 
3.7%
특 125
 
3.7%
별 125
 
3.7%
구 125
 
3.7%
Other values (137) 1645
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1976
58.8%
Space Separator 555
 
16.5%
Decimal Number 511
 
15.2%
Open Punctuation 125
 
3.7%
Close Punctuation 125
 
3.7%
Other Punctuation 50
 
1.5%
Dash Punctuation 13
 
0.4%
Math Symbol 4
 
0.1%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 158
 
8.0%
서 127
 
6.4%
시 126
 
6.4%
중 126
 
6.4%
울 126
 
6.4%
특 125
 
6.3%
별 125
 
6.3%
구 125
 
6.3%
동 111
 
5.6%
가 101
 
5.1%
Other values (116) 726
36.7%
Decimal Number
ValueCountFrequency (%)
2 107
20.9%
1 106
20.7%
3 70
13.7%
5 44
8.6%
6 43
8.4%
8 36
 
7.0%
0 32
 
6.3%
7 26
 
5.1%
4 24
 
4.7%
9 23
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
E 1
25.0%
N 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 42
84.0%
. 8
 
16.0%
Space Separator
ValueCountFrequency (%)
555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1976
58.8%
Common 1383
41.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 158
 
8.0%
서 127
 
6.4%
시 126
 
6.4%
중 126
 
6.4%
울 126
 
6.4%
특 125
 
6.3%
별 125
 
6.3%
구 125
 
6.3%
동 111
 
5.6%
가 101
 
5.1%
Other values (116) 726
36.7%
Common
ValueCountFrequency (%)
555
40.1%
( 125
 
9.0%
) 125
 
9.0%
2 107
 
7.7%
1 106
 
7.7%
3 70
 
5.1%
5 44
 
3.2%
6 43
 
3.1%
, 42
 
3.0%
8 36
 
2.6%
Other values (7) 130
 
9.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
E 1
25.0%
N 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1976
58.8%
ASCII 1387
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
40.0%
( 125
 
9.0%
) 125
 
9.0%
2 107
 
7.7%
1 106
 
7.6%
3 70
 
5.0%
5 44
 
3.2%
6 43
 
3.1%
, 42
 
3.0%
8 36
 
2.6%
Other values (11) 134
 
9.7%
Hangul
ValueCountFrequency (%)
로 158
 
8.0%
서 127
 
6.4%
시 126
 
6.4%
중 126
 
6.4%
울 126
 
6.4%
특 125
 
6.3%
별 125
 
6.3%
구 125
 
6.3%
동 111
 
5.6%
가 101
 
5.1%
Other values (116) 726
36.7%

도로명우편번호
Categorical

Distinct43
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
26 
04526
 
7
04537
 
6
04561
 
6
04630
 
5
Other values (38)
75 

Length

Max length7
Median length5
Mean length4.816
Min length4

Unique

Unique18 ?
Unique (%)14.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
20.8%
04526 7
 
5.6%
04537 6
 
4.8%
04561 6
 
4.8%
04630 5
 
4.0%
04565 5
 
4.0%
04631 4
 
3.2%
04554 4
 
3.2%
04555 4
 
3.2%
04615 3
 
2.4%
Other values (33) 55
44.0%

Length

2024-05-11T01:32:45.724007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 26
20.8%
04526 7
 
5.6%
04537 6
 
4.8%
04561 6
 
4.8%
04630 5
 
4.0%
04565 5
 
4.0%
04631 4
 
3.2%
04554 4
 
3.2%
04555 4
 
3.2%
04559 3
 
2.4%
Other values (33) 55
44.0%

사업장명
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:32:46.283016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length9.792
Min length2

Characters and Unicode

Total characters1224
Distinct characters191
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)100.0%

Sample

1st row아스토리아호텔
2nd row사보이호텔
3rd row메트로호텔
4th row프레지던트호텔
5th row서울프린스호텔
ValueCountFrequency (%)
호텔 29
 
10.7%
명동 18
 
6.7%
서울 17
 
6.3%
동대문 9
 
3.3%
앰배서더 5
 
1.9%
더 5
 
1.9%
호스텔 4
 
1.5%
트레블로지 4
 
1.5%
주)조선호텔앤리조트 3
 
1.1%
5 3
 
1.1%
Other values (158) 173
64.1%
2024-05-11T01:32:47.460121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
11.8%
호 97
 
7.9%
텔 97
 
7.9%
스 62
 
5.1%
동 45
 
3.7%
이 33
 
2.7%
트 32
 
2.6%
서 32
 
2.6%
명 31
 
2.5%
울 27
 
2.2%
Other values (181) 623
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 983
80.3%
Space Separator 145
 
11.8%
Uppercase Letter 28
 
2.3%
Decimal Number 25
 
2.0%
Lowercase Letter 17
 
1.4%
Open Punctuation 12
 
1.0%
Close Punctuation 12
 
1.0%
Letter Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 97
 
9.9%
텔 97
 
9.9%
스 62
 
6.3%
동 45
 
4.6%
이 33
 
3.4%
트 32
 
3.3%
서 32
 
3.3%
명 31
 
3.2%
울 27
 
2.7%
리 21
 
2.1%
Other values (145) 506
51.5%
Uppercase Letter
ValueCountFrequency (%)
O 5
17.9%
L 4
14.3%
A 3
10.7%
Y 2
 
7.1%
B 2
 
7.1%
G 2
 
7.1%
E 2
 
7.1%
U 2
 
7.1%
T 1
 
3.6%
N 1
 
3.6%
Other values (4) 4
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
17.6%
e 2
11.8%
t 2
11.8%
g 2
11.8%
d 2
11.8%
c 2
11.8%
i 1
 
5.9%
l 1
 
5.9%
a 1
 
5.9%
h 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 8
32.0%
5 6
24.0%
4 3
 
12.0%
1 3
 
12.0%
3 2
 
8.0%
6 1
 
4.0%
8 1
 
4.0%
9 1
 
4.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 983
80.3%
Common 194
 
15.8%
Latin 47
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 97
 
9.9%
텔 97
 
9.9%
스 62
 
6.3%
동 45
 
4.6%
이 33
 
3.4%
트 32
 
3.3%
서 32
 
3.3%
명 31
 
3.2%
울 27
 
2.7%
리 21
 
2.1%
Other values (145) 506
51.5%
Latin
ValueCountFrequency (%)
O 5
 
10.6%
L 4
 
8.5%
A 3
 
6.4%
o 3
 
6.4%
e 2
 
4.3%
t 2
 
4.3%
Ⅱ 2
 
4.3%
g 2
 
4.3%
d 2
 
4.3%
Y 2
 
4.3%
Other values (15) 20
42.6%
Common
ValueCountFrequency (%)
145
74.7%
( 12
 
6.2%
) 12
 
6.2%
2 8
 
4.1%
5 6
 
3.1%
4 3
 
1.5%
1 3
 
1.5%
3 2
 
1.0%
6 1
 
0.5%
8 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 983
80.3%
ASCII 239
 
19.5%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
60.7%
( 12
 
5.0%
) 12
 
5.0%
2 8
 
3.3%
5 6
 
2.5%
O 5
 
2.1%
L 4
 
1.7%
4 3
 
1.3%
A 3
 
1.3%
1 3
 
1.3%
Other values (25) 38
 
15.9%
Hangul
ValueCountFrequency (%)
호 97
 
9.9%
텔 97
 
9.9%
스 62
 
6.3%
동 45
 
4.6%
이 33
 
3.4%
트 32
 
3.3%
서 32
 
3.3%
명 31
 
3.2%
울 27
 
2.7%
리 21
 
2.1%
Other values (145) 506
51.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2011-01-06 09:07:18
Maximum2024-04-30 20:50:21
2024-05-11T01:32:47.927828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:32:48.545966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
118 
I
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 118
94.4%
I 7
 
5.6%

Length

2024-05-11T01:32:49.039494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:49.332554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 118
94.4%
i 7
 
5.6%

데이터갱신일자
Categorical

Distinct38
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-01 23:06:00.0
57 
2023-12-01 22:02:00.0
19 
2018-08-31 23:59:59.0
7 
2023-12-01 23:07:00.0
 
3
2023-12-05 00:01:00.0
 
2
Other values (33)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique29 ?
Unique (%)23.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2023-12-01 23:06:00.0
3rd row2023-12-04 00:07:00.0
4th row2023-12-01 23:06:00.0
5th row2023-12-01 23:06:00.0

Common Values

ValueCountFrequency (%)
2023-12-01 23:06:00.0 57
45.6%
2023-12-01 22:02:00.0 19
 
15.2%
2018-08-31 23:59:59.0 7
 
5.6%
2023-12-01 23:07:00.0 3
 
2.4%
2023-12-05 00:01:00.0 2
 
1.6%
2021-12-06 21:00:00.0 2
 
1.6%
2021-12-05 23:07:00.0 2
 
1.6%
2022-12-02 22:04:00.0 2
 
1.6%
2022-11-01 22:00:00.0 2
 
1.6%
2021-12-03 22:04:00.0 1
 
0.8%
Other values (28) 28
22.4%

Length

2024-05-11T01:32:49.732202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-01 80
32.0%
23:06:00.0 57
22.8%
22:02:00.0 19
 
7.6%
02:40:00.0 10
 
4.0%
2018-08-31 7
 
2.8%
23:59:59.0 7
 
2.8%
23:07:00.0 6
 
2.4%
2023-12-03 4
 
1.6%
22:04:00.0 4
 
1.6%
2022-11-01 4
 
1.6%
Other values (38) 52
20.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean199029.22
Minimum197118.13
Maximum200792.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:32:50.239331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197118.13
5-th percentile197850.66
Q1198260.57
median198755.21
Q3200095.68
95-th percentile200623.9
Maximum200792.07
Range3673.943
Interquartile range (IQR)1835.1046

Descriptive statistics

Standard deviation948.78122
Coefficient of variation (CV)0.0047670449
Kurtosis-1.0141537
Mean199029.22
Median Absolute Deviation (MAD)624.619
Skewness0.38068058
Sum24679623
Variance900185.81
MonotonicityNot monotonic
2024-05-11T01:32:50.745401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200161.192418006 2
 
1.6%
197867.156641113 2
 
1.6%
200613.510297669 2
 
1.6%
198260.880732247 2
 
1.6%
200314.646974736 2
 
1.6%
198614.550199488 2
 
1.6%
198403.083197305 2
 
1.6%
200110.335302043 1
 
0.8%
198232.003862907 1
 
0.8%
199128.553284601 1
 
0.8%
Other values (107) 107
85.6%
ValueCountFrequency (%)
197118.125654965 1
0.8%
197268.885433824 1
0.8%
197462.198757043 1
0.8%
197711.630119852 1
0.8%
197762.501510022 1
0.8%
197838.506308443 1
0.8%
197847.754499522 1
0.8%
197867.156641113 2
1.6%
197891.564897442 1
0.8%
197895.491160507 1
0.8%
ValueCountFrequency (%)
200792.068633415 1
0.8%
200758.994732114 1
0.8%
200730.296204033 1
0.8%
200701.142404743 1
0.8%
200686.364658168 1
0.8%
200647.159357664 1
0.8%
200625.524648469 1
0.8%
200614.724711748 1
0.8%
200613.510297669 2
1.6%
200538.850127418 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct117
Distinct (%)94.4%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean451164.52
Minimum449809.74
Maximum451817.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:32:51.542304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449809.74
5-th percentile450552.47
Q1450949.56
median451202.51
Q3451395.69
95-th percentile451735.29
Maximum451817.52
Range2007.7707
Interquartile range (IQR)446.12898

Descriptive statistics

Standard deviation369.30869
Coefficient of variation (CV)0.00081856767
Kurtosis0.44752458
Mean451164.52
Median Absolute Deviation (MAD)218.37775
Skewness-0.53987068
Sum55944401
Variance136388.91
MonotonicityNot monotonic
2024-05-11T01:32:52.202722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451521.415517111 2
 
1.6%
451779.880897566 2
 
1.6%
451817.515366883 2
 
1.6%
451708.909162308 2
 
1.6%
451554.066925226 2
 
1.6%
450677.047277743 2
 
1.6%
451049.012425837 2
 
1.6%
451549.054429182 1
 
0.8%
451276.307297241 1
 
0.8%
451340.595494209 1
 
0.8%
Other values (107) 107
85.6%
ValueCountFrequency (%)
449809.744684888 1
0.8%
450337.580626313 1
0.8%
450386.97375941 1
0.8%
450448.652284254 1
0.8%
450473.272809688 1
0.8%
450497.460903907 1
0.8%
450541.171402454 1
0.8%
450616.474794295 1
0.8%
450638.810478052 1
0.8%
450642.314853297 1
0.8%
ValueCountFrequency (%)
451817.515366883 2
1.6%
451814.600448477 1
0.8%
451779.880897566 2
1.6%
451745.025547093 1
0.8%
451739.947695781 1
0.8%
451708.909162308 2
1.6%
451680.793663218 1
0.8%
451638.530759379 1
0.8%
451628.15318809 1
0.8%
451592.158106036 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
관광숙박업
17 

Length

Max length5
Median length4
Mean length4.136
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
관광숙박업 17
 
13.6%

Length

2024-05-11T01:32:52.880319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:53.315823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
관광숙박업 17
 
13.6%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
120 
관광사업
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 120
96.0%
관광사업 5
 
4.0%

Length

2024-05-11T01:32:53.714677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:54.315482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
96.0%
관광사업 5
 
4.0%

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
일반상업지역
 
3
상업지역
 
3
준주거지역
 
2
일반주거지역
 
2

Length

Max length6
Median length4
Mean length4.096
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> 115
92.0%
일반상업지역 3
 
2.4%
상업지역 3
 
2.4%
준주거지역 2
 
1.6%
일반주거지역 2
 
1.6%

Length

2024-05-11T01:32:55.264747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:55.792274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
92.0%
일반상업지역 3
 
2.4%
상업지역 3
 
2.4%
준주거지역 2
 
1.6%
일반주거지역 2
 
1.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)35.3%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean5.0588235
Minimum0
Maximum28
Zeros10
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:32:56.245531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile21.6
Maximum28
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.3401933
Coefficient of variation (CV)1.6486429
Kurtosis2.8030392
Mean5.0588235
Median Absolute Deviation (MAD)0
Skewness1.846442
Sum86
Variance69.558824
MonotonicityNot monotonic
2024-05-11T01:32:56.728324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
 
8.0%
5 3
 
2.4%
8 1
 
0.8%
28 1
 
0.8%
15 1
 
0.8%
20 1
 
0.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
0 10
8.0%
5 3
 
2.4%
8 1
 
0.8%
15 1
 
0.8%
20 1
 
0.8%
28 1
 
0.8%
ValueCountFrequency (%)
28 1
 
0.8%
20 1
 
0.8%
15 1
 
0.8%
8 1
 
0.8%
5 3
 
2.4%
0 10
8.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
기타
 
5
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.952
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 119
95.2%
기타 5
 
4.0%
학교정화(상대) 1
 
0.8%

Length

2024-05-11T01:32:57.332923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:57.843770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
95.2%
기타 5
 
4.0%
학교정화(상대 1
 
0.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

보험기관명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
3성
 
3

Length

Max length4
Median length4
Mean length3.952
Min length2

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> 122
97.6%
3성 3
 
2.4%

Length

2024-05-11T01:32:58.247993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:58.676221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
97.6%
3성 3
 
2.4%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
120 
숙박시설
 
3
호텔
 
2

Length

Max length4
Median length4
Mean length3.968
Min length2

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> 120
96.0%
숙박시설 3
 
2.4%
호텔 2
 
1.6%

Length

2024-05-11T01:32:59.129607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:32:59.506444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
96.0%
숙박시설 3
 
2.4%
호텔 2
 
1.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)52.9%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean6.5294118
Minimum0
Maximum25
Zeros7
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:32:59.900975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q311
95-th percentile21
Maximum25
Range25
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.5920818
Coefficient of variation (CV)1.1627513
Kurtosis0.84816892
Mean6.5294118
Median Absolute Deviation (MAD)4
Skewness1.1653933
Sum111
Variance57.639706
MonotonicityNot monotonic
2024-05-11T01:33:00.433456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 7
 
5.6%
12 2
 
1.6%
4 2
 
1.6%
8 1
 
0.8%
25 1
 
0.8%
11 1
 
0.8%
20 1
 
0.8%
6 1
 
0.8%
9 1
 
0.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
0 7
5.6%
4 2
 
1.6%
6 1
 
0.8%
8 1
 
0.8%
9 1
 
0.8%
11 1
 
0.8%
12 2
 
1.6%
20 1
 
0.8%
25 1
 
0.8%
ValueCountFrequency (%)
25 1
 
0.8%
20 1
 
0.8%
12 2
 
1.6%
11 1
 
0.8%
9 1
 
0.8%
8 1
 
0.8%
6 1
 
0.8%
4 2
 
1.6%
0 7
5.6%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
 
7
1
 
4
3
 
3
2
 
2

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 7
 
5.6%
1 4
 
3.2%
3 3
 
2.4%
2 2
 
1.6%
4 1
 
0.8%

Length

2024-05-11T01:33:01.065575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:01.501364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 7
 
5.6%
1 4
 
3.2%
3 3
 
2.4%
2 2
 
1.6%
4 1
 
0.8%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)58.8%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean40.235294
Minimum0
Maximum161
Zeros7
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:33:01.846918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q360
95-th percentile144.2
Maximum161
Range161
Interquartile range (IQR)60

Descriptive statistics

Standard deviation54.712349
Coefficient of variation (CV)1.3598099
Kurtosis0.50299004
Mean40.235294
Median Absolute Deviation (MAD)20
Skewness1.3385673
Sum684
Variance2993.4412
MonotonicityNot monotonic
2024-05-11T01:33:02.274574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 7
 
5.6%
20 2
 
1.6%
65 1
 
0.8%
52 1
 
0.8%
134 1
 
0.8%
161 1
 
0.8%
60 1
 
0.8%
23 1
 
0.8%
140 1
 
0.8%
9 1
 
0.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
0 7
5.6%
9 1
 
0.8%
20 2
 
1.6%
23 1
 
0.8%
52 1
 
0.8%
60 1
 
0.8%
65 1
 
0.8%
134 1
 
0.8%
140 1
 
0.8%
161 1
 
0.8%
ValueCountFrequency (%)
161 1
 
0.8%
140 1
 
0.8%
134 1
 
0.8%
65 1
 
0.8%
60 1
 
0.8%
52 1
 
0.8%
23 1
 
0.8%
20 2
 
1.6%
9 1
 
0.8%
0 7
5.6%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)41.2%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean959.70588
Minimum0
Maximum6314
Zeros11
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:33:02.822154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3608
95-th percentile5878.8
Maximum6314
Range6314
Interquartile range (IQR)608

Descriptive statistics

Standard deviation2016.689
Coefficient of variation (CV)2.1013615
Kurtosis3.9054084
Mean959.70588
Median Absolute Deviation (MAD)0
Skewness2.2372779
Sum16315
Variance4067034.6
MonotonicityNot monotonic
2024-05-11T01:33:03.276136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 11
 
8.8%
5770 1
 
0.8%
2575 1
 
0.8%
608 1
 
0.8%
421 1
 
0.8%
6314 1
 
0.8%
627 1
 
0.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
0 11
8.8%
421 1
 
0.8%
608 1
 
0.8%
627 1
 
0.8%
2575 1
 
0.8%
5770 1
 
0.8%
6314 1
 
0.8%
ValueCountFrequency (%)
6314 1
 
0.8%
5770 1
 
0.8%
2575 1
 
0.8%
627 1
 
0.8%
608 1
 
0.8%
421 1
 
0.8%
0 11
8.8%

영문상호명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing114
Missing (%)91.2%
Memory size1.1 KiB
2024-05-11T01:33:03.743227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length16.636364
Min length10

Characters and Unicode

Total characters183
Distinct characters39
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

Unique11 ?
Unique (%)100.0%

Sample

1st rowNEW ORIENTAL HOTEL
2nd rowHOTEL PALACE
3rd rowHOTEL ACACIA
4th rowBAITON HOTEL
5th rowFLORAL HOTEL Namsan City
ValueCountFrequency (%)
hotel 8
25.8%
myeongdong 2
 
6.5%
new 1
 
3.2%
the 1
 
3.2%
suite 1
 
3.2%
uh 1
 
3.2%
midcity 1
 
3.2%
2nd 1
 
3.2%
stay 1
 
3.2%
k 1
 
3.2%
Other values (13) 13
41.9%
2024-05-11T01:33:05.558914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
10.9%
E 17
 
9.3%
O 16
 
8.7%
T 15
 
8.2%
L 13
 
7.1%
A 10
 
5.5%
H 10
 
5.5%
N 8
 
4.4%
I 8
 
4.4%
a 7
 
3.8%
Other values (29) 59
32.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 134
73.2%
Lowercase Letter 28
 
15.3%
Space Separator 20
 
10.9%
Decimal Number 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 17
12.7%
O 16
11.9%
T 15
11.2%
L 13
9.7%
A 10
 
7.5%
H 10
 
7.5%
N 8
 
6.0%
I 8
 
6.0%
C 5
 
3.7%
R 4
 
3.0%
Other values (12) 28
20.9%
Lowercase Letter
ValueCountFrequency (%)
a 7
25.0%
n 2
 
7.1%
k 2
 
7.1%
c 2
 
7.1%
s 2
 
7.1%
z 2
 
7.1%
y 2
 
7.1%
t 2
 
7.1%
m 1
 
3.6%
b 1
 
3.6%
Other values (5) 5
17.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 162
88.5%
Common 21
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 17
 
10.5%
O 16
 
9.9%
T 15
 
9.3%
L 13
 
8.0%
A 10
 
6.2%
H 10
 
6.2%
N 8
 
4.9%
I 8
 
4.9%
a 7
 
4.3%
C 5
 
3.1%
Other values (27) 53
32.7%
Common
ValueCountFrequency (%)
20
95.2%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
 
10.9%
E 17
 
9.3%
O 16
 
8.7%
T 15
 
8.2%
L 13
 
7.1%
A 10
 
5.5%
H 10
 
5.5%
N 8
 
4.4%
I 8
 
4.4%
a 7
 
3.8%
Other values (29) 59
32.2%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
114 
Tourist Hotel
 
6
Hostel
 
2
HOSTEL
 
1
hostel
 
1

Length

Max length13
Median length4
Mean length4.568
Min length4

Unique

Unique3 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 114
91.2%
Tourist Hotel 6
 
4.8%
Hostel 2
 
1.6%
HOSTEL 1
 
0.8%
hostel 1
 
0.8%
TOURIST HOTEL 1
 
0.8%

Length

2024-05-11T01:33:06.354732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:07.057254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
86.4%
tourist 7
 
5.3%
hotel 7
 
5.3%
hostel 4
 
3.0%

선박총톤수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:07.929052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:08.392801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

선박척수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:08.997165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:09.358586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:09.790928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:10.301710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

좌석수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:10.796801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:11.168852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:11.582590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:11.938172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

시설면적
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean5342.5835
Minimum363.57
Maximum25524.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:33:12.426702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum363.57
5-th percentile409.418
Q11233.29
median4170
Q36313.74
95-th percentile14207.384
Maximum25524.92
Range25161.35
Interquartile range (IQR)5080.45

Descriptive statistics

Standard deviation6069.9244
Coefficient of variation (CV)1.1361403
Kurtosis7.7479622
Mean5342.5835
Median Absolute Deviation (MAD)2143.74
Skewness2.5063832
Sum90823.92
Variance36843982
MonotonicityNot monotonic
2024-05-11T01:33:12.848651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6313.74 2
 
1.6%
5769.68 1
 
0.8%
627.15 1
 
0.8%
420.88 1
 
0.8%
607.64 1
 
0.8%
363.57 1
 
0.8%
2574.87 1
 
0.8%
4170.0 1
 
0.8%
4665.0 1
 
0.8%
11378.0 1
 
0.8%
Other values (6) 6
 
4.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
363.57 1
0.8%
420.88 1
0.8%
607.64 1
0.8%
627.15 1
0.8%
1233.29 1
0.8%
2574.87 1
0.8%
2772.84 1
0.8%
3252.0 1
0.8%
4170.0 1
0.8%
4665.0 1
0.8%
ValueCountFrequency (%)
25524.92 1
0.8%
11378.0 1
0.8%
8839.81 1
0.8%
6313.74 2
1.6%
5996.79 1
0.8%
5769.68 1
0.8%
4665.0 1
0.8%
4170.0 1
0.8%
3252.0 1
0.8%
2772.84 1
0.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
17 

Length

Max length4
Median length4
Mean length3.592
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 17
 
13.6%

Length

2024-05-11T01:33:13.296992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:13.636793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 17
 
13.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

자본금
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
108 
0
14 
100000000
 
1
500000000
 
1
110000000
 
1

Length

Max length9
Median length4
Mean length3.784
Min length1

Unique

Unique3 ?
Unique (%)2.4%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 108
86.4%
0 14
 
11.2%
100000000 1
 
0.8%
500000000 1
 
0.8%
110000000 1
 
0.8%

Length

2024-05-11T01:33:14.084868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:14.571924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
86.4%
0 14
 
11.2%
100000000 1
 
0.8%
500000000 1
 
0.8%
110000000 1
 
0.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)100.0%
Memory size1.2 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing108
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean5342.7059
Minimum364
Maximum25525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:33:15.134091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364
5-th percentile409.6
Q11233
median4170
Q36314
95-th percentile14207.4
Maximum25525
Range25161
Interquartile range (IQR)5081

Descriptive statistics

Standard deviation6069.9218
Coefficient of variation (CV)1.1361138
Kurtosis7.7478803
Mean5342.7059
Median Absolute Deviation (MAD)2144
Skewness2.5063663
Sum90826
Variance36843950
MonotonicityNot monotonic
2024-05-11T01:33:15.667750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6314 2
 
1.6%
5770 1
 
0.8%
627 1
 
0.8%
421 1
 
0.8%
608 1
 
0.8%
364 1
 
0.8%
2575 1
 
0.8%
4170 1
 
0.8%
4665 1
 
0.8%
11378 1
 
0.8%
Other values (6) 6
 
4.8%
(Missing) 108
86.4%
ValueCountFrequency (%)
364 1
0.8%
421 1
0.8%
608 1
0.8%
627 1
0.8%
1233 1
0.8%
2575 1
0.8%
2773 1
0.8%
3252 1
0.8%
4170 1
0.8%
4665 1
0.8%
ValueCountFrequency (%)
25525 1
0.8%
11378 1
0.8%
8840 1
0.8%
6314 2
1.6%
5997 1
0.8%
5770 1
0.8%
4665 1
0.8%
4170 1
0.8%
3252 1
0.8%
2773 1
0.8%

관광숙박업상세명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
관광호텔업
 
9
호스텔업
 
4

Length

Max length5
Median length4
Mean length4.072
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
89.6%
관광호텔업 9
 
7.2%
호스텔업 4
 
3.2%

Length

2024-05-11T01:33:16.179342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:16.634375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
89.6%
관광호텔업 9
 
7.2%
호스텔업 4
 
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03010000CDFI226003196000000119600610<NA>3폐업3폐업20150731<NA><NA><NA>2268-7111<NA>100260서울특별시 중구 남학동 13-2번지서울특별시 중구 퇴계로 176 (남학동)<NA>아스토리아호텔2015-08-26 17:26:59I2018-08-31 23:59:59.0<NA>199161.113141450949.233945관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>04170.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>4170관광호텔업
13010000CDFI22600319630000011963-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>776-1811<NA>100-011서울특별시 중구 충무로1가 23-1서울특별시 중구 명동8나길 10 (충무로1가)<NA>사보이호텔2024-02-14 16:59:06U2023-12-01 23:06:00.0<NA>198543.6447451049.58062<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFI22600319630000021963-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>776-8221<NA>100-845서울특별시 중구 을지로2가 199-33서울특별시 중구 명동9가길 14 (을지로2가)<NA>메트로호텔2024-04-05 11:12:06U2023-12-04 00:07:00.0<NA>198492.801933451427.348966<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33010000CDFI22600319690000011969-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>753-3131<NA>100-191서울특별시 중구 을지로1가 188-3서울특별시 중구 을지로 16 (을지로1가)<NA>프레지던트호텔2024-02-14 13:55:23U2023-12-01 23:06:00.0<NA>198113.370664451483.299977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43010000CDFI22600319690000021969-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA>752-7111<NA>100-042서울특별시 중구 남산동2가 1-1서울특별시 중구 퇴계로 130 (남산동2가)<NA>서울프린스호텔2024-02-14 16:38:57U2023-12-01 23:06:00.0<NA>198717.824492450932.96484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53010000CDFI22600319690000031969-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA>735-9071<NA>100-101서울특별시 중구 태평로1가 29-1서울특별시 중구 세종대로22길 16 (태평로1가)<NA>뉴서울호텔2024-02-14 16:46:58U2023-12-01 23:06:00.0<NA>198000.967177451745.025547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63010000CDFI22600319700000011970-06-05<NA>1영업/정상13영업중<NA><NA><NA><NA>771-0500<NA>100-070서울특별시 중구 소공동 87-1서울특별시 중구 소공로 106 (소공동)04533(주)조선호텔앤리조트2023-12-18 09:18:44U2022-11-01 22:00:00.0<NA>198172.151119451350.969223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000CDFI22600319700000021970-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA>752-3191<NA>100-873서울특별시 중구 회현동1가 65서울특별시 중구 퇴계로10길 23 (회현동1가)<NA>(주)서울렉스호텔2024-02-14 17:00:11U2023-12-01 23:06:00.0<NA>198249.758791450711.482994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83010000CDFI22600319700000031970-07-01<NA>1영업/정상13영업중<NA><NA><NA><NA>2266-3186<NA>100-282서울특별시 중구 인현동2가 73-1서울특별시 중구 마른내로 71 (인현동2가)<NA>호텔 PJ2024-02-14 14:01:52U2023-12-01 23:06:00.0<NA>199550.506271451392.219694<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93010000CDFI22600319730000011973-12-24<NA>1영업/정상13영업중<NA><NA><NA><NA>773-6000<NA><NA>서울특별시 중구 충무로2가 61-3서울특별시 중구 퇴계로 145 (충무로2가, 세종호텔)04537세종호텔2024-02-14 16:40:04U2023-12-01 23:06:00.0<NA>198866.364917451021.050961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
1153010000CDFI22600320210000022021-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동2가 43-7서울특별시 중구 소공로6길 38 (남산동2가)04630올리브 호스텔2024-02-20 10:00:49U2023-12-01 22:02:00.0<NA>198614.550199450677.047278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163010000CDFI22600320210000032021-07-06<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8057-1131<NA><NA>서울특별시 중구 충무로2가 12-5서울특별시 중구 명동8가길 59 (충무로2가)04537헨나호텔서울명동2024-02-14 13:59:35U2023-12-01 23:06:00.0<NA>198898.28201451082.839302<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173010000CDFI22600320210000042021-10-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-759-1600<NA><NA>서울특별시 중구 을지로5가 19-29서울특별시 중구 동호로 369 (을지로5가)04546호텔 유파이브(HOTEL U5)2024-02-14 17:29:41U2023-12-01 23:06:00.0<NA>200095.261183451680.793663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183010000CDFI22600320220000012022-01-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6260-2000<NA><NA>서울특별시 중구 남대문로2가 9-1서울특별시 중구 남대문로 84 (남대문로2가)04534스탠포드호텔 명동2024-02-14 17:31:53U2023-12-01 23:06:00.0<NA>198401.701306451374.312213<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193010000CDFI226003202200000220220329<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 회현동2가 42-10서울특별시 중구 소공로6나길 8, 1-2층 (회현동2가)04630제이오너 호스텔2022-04-01 10:54:05U2021-12-04 00:03:00.0<NA>198483.811641450642.314853<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203010000CDFI22600320220000032022-11-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-777-7905<NA><NA>서울특별시 중구 필동1가 44-1서울특별시 중구 충무로 7 (필동1가)04554G3호텔2023-12-15 20:34:26U2022-11-01 23:07:00.0<NA>199303.88959451060.843011<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213010000CDFI22600320220000042022-11-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로1가 21-17서울특별시 중구 명동8나길 38 (충무로1가)04535르메르디앙 서울 명동2024-02-15 09:57:11U2023-12-01 23:07:00.0<NA>198403.083197451049.012426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223010000CDFI22600320220000052022-11-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2184-7000<NA><NA>서울특별시 중구 충무로1가 21-17서울특별시 중구 명동8나길 38 (충무로1가)04535목시 서울 명동2024-02-15 09:52:54U2023-12-01 23:07:00.0<NA>198403.083197451049.012426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233010000CDFI22600320230000012023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3445-3887<NA><NA>서울특별시 중구 태평로1가 61-1서울특별시 중구 세종대로 135, 19~20층 (태평로1가)04519글로카로카호스텔2024-02-20 10:02:38U2023-12-01 22:02:00.0<NA>197867.156641451779.880898<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243010000CDFI22600320230000022023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>3786-8999<NA><NA>서울특별시 중구 을지로2가 199-50서울특별시 중구 명동7가길 22, 3~11층 (을지로2가)04534호텔베르2024-04-12 14:36:42U2023-12-03 23:05:00.0<NA>198441.269875451365.561737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>