Overview

Dataset statistics

Number of variables61
Number of observations87
Missing cells2816
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.8 KiB
Average record size in memory527.5 B

Variable types

Categorical15
Text7
DateTime6
Unsupported24
Numeric9

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17424/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (51.5%)Imbalance
객실수 is highly imbalanced (82.6%)Imbalance
건축연면적 is highly imbalanced (82.6%)Imbalance
영문상호주소 is highly imbalanced (78.4%)Imbalance
관광숙박업상세명 is highly imbalanced (51.0%)Imbalance
인허가취소일자 has 87 (100.0%) missing valuesMissing
폐업일자 has 58 (66.7%) missing valuesMissing
휴업시작일자 has 84 (96.6%) missing valuesMissing
휴업종료일자 has 84 (96.6%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 13 (14.9%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 72 (82.8%) missing valuesMissing
도로명우편번호 has 4 (4.6%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
총층수 has 54 (62.1%) missing valuesMissing
제작취급품목내용 has 87 (100.0%) missing valuesMissing
보험기관명 has 87 (100.0%) missing valuesMissing
지상층수 has 48 (55.2%) missing valuesMissing
지하층수 has 49 (56.3%) missing valuesMissing
영문상호명 has 83 (95.4%) missing valuesMissing
선박총톤수 has 87 (100.0%) missing valuesMissing
선박척수 has 87 (100.0%) missing valuesMissing
선박제원 has 87 (100.0%) missing valuesMissing
무대면적 has 87 (100.0%) missing valuesMissing
좌석수 has 87 (100.0%) missing valuesMissing
기념품종류 has 87 (100.0%) missing valuesMissing
회의실별동시수용인원 has 87 (100.0%) missing valuesMissing
시설면적 has 51 (58.6%) missing valuesMissing
놀이기구수내역 has 87 (100.0%) missing valuesMissing
놀이시설수 has 87 (100.0%) missing valuesMissing
방송시설유무 has 87 (100.0%) missing valuesMissing
발전시설유무 has 87 (100.0%) missing valuesMissing
의무실유무 has 87 (100.0%) missing valuesMissing
안내소유무 has 87 (100.0%) missing valuesMissing
기획여행보험시작일자 has 87 (100.0%) missing valuesMissing
기획여행보험종료일자 has 87 (100.0%) missing valuesMissing
자본금 has 77 (88.5%) missing valuesMissing
보험시작일자 has 87 (100.0%) missing valuesMissing
보험종료일자 has 87 (100.0%) missing valuesMissing
부대시설내역 has 87 (100.0%) missing valuesMissing
시설규모 has 51 (58.6%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 13:14:42.887674
Analysis finished2024-04-06 13:14:43.921721
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3220000
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 87
100.0%

Length

2024-04-06T22:14:44.025261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:44.187145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-06T22:14:44.419026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031978000001
2nd rowCDFI2260031978000002
3rd rowCDFI2260031982000001
4th rowCDFI2260031985000001
5th rowCDFI2260031986000001
ValueCountFrequency (%)
cdfi2260031978000001 1
 
1.1%
cdfi2260032017000002 1
 
1.1%
cdfi2260032016000011 1
 
1.1%
cdfi2260032016000010 1
 
1.1%
cdfi2260032016000009 1
 
1.1%
cdfi2260032016000008 1
 
1.1%
cdfi2260032016000007 1
 
1.1%
cdfi2260032016000006 1
 
1.1%
cdfi2260032016000005 1
 
1.1%
cdfi2260032016000004 1
 
1.1%
Other values (77) 77
88.5%
2024-04-06T22:14:44.882594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 687
39.5%
2 273
 
15.7%
1 111
 
6.4%
6 105
 
6.0%
3 105
 
6.0%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
I 87
 
5.0%
9 37
 
2.1%
Other values (4) 74
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 687
49.4%
2 273
 
19.6%
1 111
 
8.0%
6 105
 
7.5%
3 105
 
7.5%
9 37
 
2.7%
8 28
 
2.0%
5 19
 
1.4%
7 15
 
1.1%
4 12
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
I 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 687
49.4%
2 273
 
19.6%
1 111
 
8.0%
6 105
 
7.5%
3 105
 
7.5%
9 37
 
2.7%
8 28
 
2.0%
5 19
 
1.4%
7 15
 
1.1%
4 12
 
0.9%
Latin
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
I 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 687
39.5%
2 273
 
15.7%
1 111
 
6.4%
6 105
 
6.0%
3 105
 
6.0%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
I 87
 
5.0%
9 37
 
2.1%
Other values (4) 74
 
4.3%

인허가일자
Date

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum1978-05-01 00:00:00
Maximum2022-06-16 00:00:00
2024-04-06T22:14:45.147479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:45.328464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
55 
3
29 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
63.2%
3 29
33.3%
2 3
 
3.4%

Length

2024-04-06T22:14:45.492505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:45.643735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
63.2%
3 29
33.3%
2 3
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
55 
폐업
29 
휴업
 
3

Length

Max length5
Median length5
Mean length3.8965517
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 55
63.2%
폐업 29
33.3%
휴업 3
 
3.4%

Length

2024-04-06T22:14:45.829944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:45.992481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 55
63.2%
폐업 29
33.3%
휴업 3
 
3.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
55 
3
29 
2
 
3

Length

Max length2
Median length2
Mean length1.6321839
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 55
63.2%
3 29
33.3%
2 3
 
3.4%

Length

2024-04-06T22:14:46.169141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:46.331480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 55
63.2%
3 29
33.3%
2 3
 
3.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
55 
폐업
29 
휴업
 
3

Length

Max length3
Median length3
Mean length2.6321839
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 55
63.2%
폐업 29
33.3%
휴업 3
 
3.4%

Length

2024-04-06T22:14:46.458790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:46.622269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 55
63.2%
폐업 29
33.3%
휴업 3
 
3.4%

폐업일자
Date

MISSING 

Distinct28
Distinct (%)96.6%
Missing58
Missing (%)66.7%
Memory size828.0 B
Minimum2006-07-03 00:00:00
Maximum2024-01-25 00:00:00
2024-04-06T22:14:46.783077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:46.976295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing84
Missing (%)96.6%
Memory size828.0 B
Minimum2023-12-30 00:00:00
Maximum2024-03-31 00:00:00
2024-04-06T22:14:47.127384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:47.302341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing84
Missing (%)96.6%
Memory size828.0 B
Minimum2024-06-30 00:00:00
Maximum2025-03-31 00:00:00
2024-04-06T22:14:47.468481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:47.611068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing13
Missing (%)14.9%
Memory size828.0 B
2024-04-06T22:14:47.911883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.283784
Min length8

Characters and Unicode

Total characters761
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)94.6%

Sample

1st row3451-8000
2nd row541-3111
3rd row557-1221
4th row6202-2013
5th row540-3456
ValueCountFrequency (%)
02 4
 
5.1%
542-0112 2
 
2.5%
555-5656 2
 
2.5%
02-311-9000 1
 
1.3%
02-2058-1558 1
 
1.3%
02-569-4920 1
 
1.3%
07081467711 1
 
1.3%
0216612850 1
 
1.3%
18998059 1
 
1.3%
02-3288-1100 1
 
1.3%
Other values (64) 64
81.0%
2024-04-06T22:14:48.398970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
19.7%
5 107
14.1%
2 105
13.8%
- 98
12.9%
1 66
8.7%
4 51
 
6.7%
6 46
 
6.0%
3 38
 
5.0%
7 36
 
4.7%
8 36
 
4.7%
Other values (4) 28
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 651
85.5%
Dash Punctuation 98
 
12.9%
Space Separator 9
 
1.2%
Math Symbol 2
 
0.3%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
23.0%
5 107
16.4%
2 105
16.1%
1 66
10.1%
4 51
 
7.8%
6 46
 
7.1%
3 38
 
5.8%
7 36
 
5.5%
8 36
 
5.5%
9 16
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
19.7%
5 107
14.1%
2 105
13.8%
- 98
12.9%
1 66
8.7%
4 51
 
6.7%
6 46
 
6.0%
3 38
 
5.0%
7 36
 
4.7%
8 36
 
4.7%
Other values (4) 28
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
19.7%
5 107
14.1%
2 105
13.8%
- 98
12.9%
1 66
8.7%
4 51
 
6.7%
6 46
 
6.0%
3 38
 
5.0%
7 36
 
4.7%
8 36
 
4.7%
Other values (4) 28
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)80.0%
Missing72
Missing (%)82.8%
Memory size828.0 B
2024-04-06T22:14:48.619166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters93
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

Unique10 ?
Unique (%)66.7%

Sample

1st row135957
2nd row135894
3rd row135957
4th row135840
5th row135839
ValueCountFrequency (%)
135957 3
20.0%
135-915 2
13.3%
135894 1
 
6.7%
135840 1
 
6.7%
135839 1
 
6.7%
135910 1
 
6.7%
135877 1
 
6.7%
135920 1
 
6.7%
135915 1
 
6.7%
135-964 1
 
6.7%
Other values (2) 2
13.3%
2024-04-06T22:14:48.956623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 21
22.6%
1 19
20.4%
3 16
17.2%
9 13
14.0%
7 6
 
6.5%
8 6
 
6.5%
- 3
 
3.2%
4 3
 
3.2%
0 3
 
3.2%
2 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
96.8%
Dash Punctuation 3
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
23.3%
1 19
21.1%
3 16
17.8%
9 13
14.4%
7 6
 
6.7%
8 6
 
6.7%
4 3
 
3.3%
0 3
 
3.3%
2 2
 
2.2%
6 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 21
22.6%
1 19
20.4%
3 16
17.2%
9 13
14.0%
7 6
 
6.5%
8 6
 
6.5%
- 3
 
3.2%
4 3
 
3.2%
0 3
 
3.2%
2 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 21
22.6%
1 19
20.4%
3 16
17.2%
9 13
14.0%
7 6
 
6.5%
8 6
 
6.5%
- 3
 
3.2%
4 3
 
3.2%
0 3
 
3.2%
2 2
 
2.2%

지번주소
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-06T22:14:49.346106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length21.321839
Min length14

Characters and Unicode

Total characters1855
Distinct characters77
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

Unique87 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 역삼동 602
2nd row서울특별시 강남구 청담동 53-7
3rd row서울특별시 강남구 역삼동 604-11
4th row서울특별시 강남구 청담동 129-7번지
5th row서울특별시 강남구 삼성동 112-5
ValueCountFrequency (%)
서울특별시 87
23.1%
강남구 87
23.1%
역삼동 27
 
7.2%
논현동 21
 
5.6%
삼성동 14
 
3.7%
신사동 10
 
2.7%
청담동 9
 
2.4%
대치동 5
 
1.3%
호텔 3
 
0.8%
6 3
 
0.8%
Other values (107) 110
29.3%
2024-04-06T22:14:49.865254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
17.9%
서 90
 
4.9%
남 89
 
4.8%
강 89
 
4.8%
울 89
 
4.8%
동 88
 
4.7%
시 87
 
4.7%
별 87
 
4.7%
특 87
 
4.7%
구 87
 
4.7%
Other values (67) 730
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1073
57.8%
Decimal Number 363
 
19.6%
Space Separator 332
 
17.9%
Dash Punctuation 73
 
3.9%
Other Punctuation 6
 
0.3%
Uppercase Letter 5
 
0.3%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 90
 
8.4%
남 89
 
8.3%
강 89
 
8.3%
울 89
 
8.3%
동 88
 
8.2%
시 87
 
8.1%
별 87
 
8.1%
특 87
 
8.1%
구 87
 
8.1%
삼 42
 
3.9%
Other values (46) 238
22.2%
Decimal Number
ValueCountFrequency (%)
1 72
19.8%
2 52
14.3%
6 41
11.3%
7 34
9.4%
5 32
8.8%
8 29
8.0%
3 28
 
7.7%
4 27
 
7.4%
9 25
 
6.9%
0 23
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
T 1
20.0%
I 1
20.0%
A 1
20.0%
P 1
20.0%
Space Separator
ValueCountFrequency (%)
332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1073
57.8%
Common 777
41.9%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 90
 
8.4%
남 89
 
8.3%
강 89
 
8.3%
울 89
 
8.3%
동 88
 
8.2%
시 87
 
8.1%
별 87
 
8.1%
특 87
 
8.1%
구 87
 
8.1%
삼 42
 
3.9%
Other values (46) 238
22.2%
Common
ValueCountFrequency (%)
332
42.7%
- 73
 
9.4%
1 72
 
9.3%
2 52
 
6.7%
6 41
 
5.3%
7 34
 
4.4%
5 32
 
4.1%
8 29
 
3.7%
3 28
 
3.6%
4 27
 
3.5%
Other values (6) 57
 
7.3%
Latin
ValueCountFrequency (%)
O 1
20.0%
T 1
20.0%
I 1
20.0%
A 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1073
57.8%
ASCII 782
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
42.5%
- 73
 
9.3%
1 72
 
9.2%
2 52
 
6.6%
6 41
 
5.2%
7 34
 
4.3%
5 32
 
4.1%
8 29
 
3.7%
3 28
 
3.6%
4 27
 
3.5%
Other values (11) 62
 
7.9%
Hangul
ValueCountFrequency (%)
서 90
 
8.4%
남 89
 
8.3%
강 89
 
8.3%
울 89
 
8.3%
동 88
 
8.2%
시 87
 
8.1%
별 87
 
8.1%
특 87
 
8.1%
구 87
 
8.1%
삼 42
 
3.9%
Other values (46) 238
22.2%

도로명주소
Text

Distinct84
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-06T22:14:50.209662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length30.425287
Min length22

Characters and Unicode

Total characters2647
Distinct characters178
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)93.1%

Sample

1st row서울특별시 강남구 봉은사로 120 (역삼동, 호텔 리츠칼튼 서울)
2nd row서울특별시 강남구 영동대로 737 (청담동, 호텔리베라)
3rd row서울특별시 강남구 봉은사로 150 (역삼동, 삼정관광호텔)
4th row서울특별시 강남구 압구정로79길 76 (청담동)
5th row서울특별시 강남구 봉은사로 410 (삼성동, 라마다서울호텔)
ValueCountFrequency (%)
서울특별시 87
 
16.8%
강남구 87
 
16.8%
역삼동 27
 
5.2%
논현동 21
 
4.1%
삼성동 14
 
2.7%
봉은사로 14
 
2.7%
도산대로 12
 
2.3%
논현로 10
 
1.9%
신사동 9
 
1.7%
청담동 9
 
1.7%
Other values (174) 227
43.9%
2024-04-06T22:14:50.728976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
16.4%
남 101
 
3.8%
강 101
 
3.8%
서 97
 
3.7%
동 97
 
3.7%
울 94
 
3.6%
구 89
 
3.4%
) 89
 
3.4%
( 89
 
3.4%
로 88
 
3.3%
Other values (168) 1369
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1630
61.6%
Space Separator 433
 
16.4%
Decimal Number 298
 
11.3%
Close Punctuation 89
 
3.4%
Open Punctuation 89
 
3.4%
Other Punctuation 54
 
2.0%
Uppercase Letter 25
 
0.9%
Lowercase Letter 22
 
0.8%
Dash Punctuation 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 101
 
6.2%
강 101
 
6.2%
서 97
 
6.0%
동 97
 
6.0%
울 94
 
5.8%
구 89
 
5.5%
로 88
 
5.4%
시 87
 
5.3%
별 87
 
5.3%
특 87
 
5.3%
Other values (122) 702
43.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
12.0%
T 2
 
8.0%
O 2
 
8.0%
L 2
 
8.0%
C 2
 
8.0%
H 2
 
8.0%
E 2
 
8.0%
P 2
 
8.0%
J 1
 
4.0%
I 1
 
4.0%
Other values (6) 6
24.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
13.6%
l 3
13.6%
n 2
9.1%
r 2
9.1%
i 2
9.1%
t 2
9.1%
s 1
 
4.5%
y 1
 
4.5%
p 1
 
4.5%
a 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
1 68
22.8%
3 35
11.7%
5 31
10.4%
6 28
9.4%
4 27
 
9.1%
2 27
 
9.1%
7 26
 
8.7%
0 23
 
7.7%
9 17
 
5.7%
8 16
 
5.4%
Space Separator
ValueCountFrequency (%)
433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1630
61.6%
Common 970
36.6%
Latin 47
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 101
 
6.2%
강 101
 
6.2%
서 97
 
6.0%
동 97
 
6.0%
울 94
 
5.8%
구 89
 
5.5%
로 88
 
5.4%
시 87
 
5.3%
별 87
 
5.3%
특 87
 
5.3%
Other values (122) 702
43.1%
Latin
ValueCountFrequency (%)
A 3
 
6.4%
e 3
 
6.4%
l 3
 
6.4%
n 2
 
4.3%
r 2
 
4.3%
T 2
 
4.3%
O 2
 
4.3%
i 2
 
4.3%
L 2
 
4.3%
C 2
 
4.3%
Other values (20) 24
51.1%
Common
ValueCountFrequency (%)
433
44.6%
) 89
 
9.2%
( 89
 
9.2%
1 68
 
7.0%
, 54
 
5.6%
3 35
 
3.6%
5 31
 
3.2%
6 28
 
2.9%
4 27
 
2.8%
2 27
 
2.8%
Other values (6) 89
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1630
61.6%
ASCII 1017
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
42.6%
) 89
 
8.8%
( 89
 
8.8%
1 68
 
6.7%
, 54
 
5.3%
3 35
 
3.4%
5 31
 
3.0%
6 28
 
2.8%
4 27
 
2.7%
2 27
 
2.7%
Other values (36) 136
 
13.4%
Hangul
ValueCountFrequency (%)
남 101
 
6.2%
강 101
 
6.2%
서 97
 
6.0%
동 97
 
6.0%
울 94
 
5.8%
구 89
 
5.5%
로 88
 
5.4%
시 87
 
5.3%
별 87
 
5.3%
특 87
 
5.3%
Other values (122) 702
43.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)60.2%
Missing4
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean6123.0723
Minimum6013
Maximum6307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:50.918735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6013
5-th percentile6026.1
Q16070.5
median6124
Q36163
95-th percentile6234
Maximum6307
Range294
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation66.987764
Coefficient of variation (CV)0.010940221
Kurtosis-0.002971509
Mean6123.0723
Median Absolute Deviation (MAD)45
Skewness0.38387516
Sum508215
Variance4487.3606
MonotonicityNot monotonic
2024-04-06T22:14:51.067501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6142 5
 
5.7%
6124 4
 
4.6%
6120 4
 
4.6%
6040 3
 
3.4%
6164 3
 
3.4%
6122 3
 
3.4%
6116 2
 
2.3%
6174 2
 
2.3%
6049 2
 
2.3%
6234 2
 
2.3%
Other values (40) 53
60.9%
(Missing) 4
 
4.6%
ValueCountFrequency (%)
6013 1
 
1.1%
6016 1
 
1.1%
6022 1
 
1.1%
6026 2
2.3%
6027 2
2.3%
6035 2
2.3%
6037 1
 
1.1%
6040 3
3.4%
6043 1
 
1.1%
6044 1
 
1.1%
ValueCountFrequency (%)
6307 2
2.3%
6249 1
1.1%
6236 1
1.1%
6234 2
2.3%
6222 1
1.1%
6221 2
2.3%
6212 1
1.1%
6194 1
1.1%
6193 1
1.1%
6174 2
2.3%

사업장명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-06T22:14:51.300914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length21
Mean length10.091954
Min length4

Characters and Unicode

Total characters878
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row르 메르디앙 서울 호텔
2nd row호텔리베라서울
3rd row삼정관광호텔
4th row호텔프리마Ⅱ
5th row라미드 호텔(RAMID HOTEL)
ValueCountFrequency (%)
호텔 32
 
15.8%
강남 14
 
6.9%
서울 10
 
4.9%
호스텔 5
 
2.5%
hotel 4
 
2.0%
프리미어 3
 
1.5%
더 3
 
1.5%
관광호텔 3
 
1.5%
앰배서더 2
 
1.0%
삼성 2
 
1.0%
Other values (118) 125
61.6%
2024-04-06T22:14:51.716620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
13.2%
텔 74
 
8.4%
호 71
 
8.1%
스 35
 
4.0%
리 24
 
2.7%
강 20
 
2.3%
남 20
 
2.3%
이 20
 
2.3%
서 17
 
1.9%
울 15
 
1.7%
Other values (181) 466
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
74.3%
Space Separator 116
 
13.2%
Lowercase Letter 45
 
5.1%
Uppercase Letter 44
 
5.0%
Close Punctuation 8
 
0.9%
Open Punctuation 8
 
0.9%
Decimal Number 3
 
0.3%
Dash Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 74
 
11.3%
호 71
 
10.9%
스 35
 
5.4%
리 24
 
3.7%
강 20
 
3.1%
남 20
 
3.1%
이 20
 
3.1%
서 17
 
2.6%
울 15
 
2.3%
광 12
 
1.8%
Other values (140) 344
52.8%
Uppercase Letter
ValueCountFrequency (%)
H 7
15.9%
E 5
11.4%
A 4
 
9.1%
S 3
 
6.8%
O 3
 
6.8%
L 3
 
6.8%
Y 2
 
4.5%
R 2
 
4.5%
D 2
 
4.5%
K 2
 
4.5%
Other values (9) 11
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
20.0%
l 8
17.8%
o 6
13.3%
t 5
11.1%
a 3
 
6.7%
i 3
 
6.7%
h 2
 
4.4%
m 2
 
4.4%
r 1
 
2.2%
w 1
 
2.2%
Other values (5) 5
11.1%
Decimal Number
ValueCountFrequency (%)
7 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
74.3%
Common 136
 
15.5%
Latin 90
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 74
 
11.3%
호 71
 
10.9%
스 35
 
5.4%
리 24
 
3.7%
강 20
 
3.1%
남 20
 
3.1%
이 20
 
3.1%
서 17
 
2.6%
울 15
 
2.3%
광 12
 
1.8%
Other values (140) 344
52.8%
Latin
ValueCountFrequency (%)
e 9
 
10.0%
l 8
 
8.9%
H 7
 
7.8%
o 6
 
6.7%
E 5
 
5.6%
t 5
 
5.6%
A 4
 
4.4%
a 3
 
3.3%
i 3
 
3.3%
S 3
 
3.3%
Other values (25) 37
41.1%
Common
ValueCountFrequency (%)
116
85.3%
) 8
 
5.9%
( 8
 
5.9%
7 2
 
1.5%
1 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
74.3%
ASCII 225
 
25.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
51.6%
e 9
 
4.0%
l 8
 
3.6%
) 8
 
3.6%
( 8
 
3.6%
H 7
 
3.1%
o 6
 
2.7%
E 5
 
2.2%
t 5
 
2.2%
A 4
 
1.8%
Other values (30) 49
21.8%
Hangul
ValueCountFrequency (%)
텔 74
 
11.3%
호 71
 
10.9%
스 35
 
5.4%
리 24
 
3.7%
강 20
 
3.1%
남 20
 
3.1%
이 20
 
3.1%
서 17
 
2.6%
울 15
 
2.3%
광 12
 
1.8%
Other values (140) 344
52.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2006-07-04 14:04:33
Maximum2024-03-27 13:30:52
2024-04-06T22:14:51.876975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:52.054731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
U
63 
I
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 63
72.4%
I 24
 
27.6%

Length

2024-04-06T22:14:52.239498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:52.389671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 63
72.4%
i 24
 
27.6%

데이터갱신일자
Date

Distinct60
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T22:14:52.538708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:52.761458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

Distinct82
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203424.38
Minimum201658.42
Maximum205636.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:53.342656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201658.42
5-th percentile201886.01
Q1202499.67
median203175.35
Q3204429.12
95-th percentile205289.17
Maximum205636.37
Range3977.9509
Interquartile range (IQR)1929.4491

Descriptive statistics

Standard deviation1126.7649
Coefficient of variation (CV)0.0055389867
Kurtosis-1.0622444
Mean203424.38
Median Absolute Deviation (MAD)819.59574
Skewness0.37094793
Sum17697921
Variance1269599.2
MonotonicityNot monotonic
2024-04-06T22:14:53.571274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 2
 
2.3%
201658.416590861 2
 
2.3%
203599.062771687 2
 
2.3%
202108.433846703 2
 
2.3%
202482.701418444 2
 
2.3%
202299.611121179 1
 
1.1%
202800.634114449 1
 
1.1%
202535.919022141 1
 
1.1%
203566.634592836 1
 
1.1%
203333.617282827 1
 
1.1%
Other values (72) 72
82.8%
ValueCountFrequency (%)
201658.416590861 2
2.3%
201684.704785227 1
1.1%
201746.195 1
1.1%
201828.756638827 1
1.1%
202019.609786891 1
1.1%
202108.433846703 2
2.3%
202159.749483028 1
1.1%
202161.235372399 1
1.1%
202166.609544191 1
1.1%
202220.14 1
1.1%
ValueCountFrequency (%)
205636.367492511 1
1.1%
205613.224315917 1
1.1%
205601.904041677 1
1.1%
205513.023202982 1
1.1%
205314.159889285 1
1.1%
205230.860541362 1
1.1%
205130.591678902 2
2.3%
205121.655 1
1.1%
205020.248732302 1
1.1%
204976.284445723 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct82
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445287.78
Minimum441557.18
Maximum447231.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:53.804338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441557.18
5-th percentile444068.79
Q1444727.33
median445138.69
Q3446135.72
95-th percentile446982.8
Maximum447231.95
Range5674.7752
Interquartile range (IQR)1408.3865

Descriptive statistics

Standard deviation1058.7266
Coefficient of variation (CV)0.0023776232
Kurtosis1.8754331
Mean445287.78
Median Absolute Deviation (MAD)609.2697
Skewness-0.56080476
Sum38740037
Variance1120902
MonotonicityNot monotonic
2024-04-06T22:14:54.016094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 2
 
2.3%
446639.566102925 2
 
2.3%
444556.062267296 2
 
2.3%
446160.618240423 2
 
2.3%
444787.812950605 2
 
2.3%
444739.274032656 1
 
1.1%
444058.465089517 1
 
1.1%
444822.174971826 1
 
1.1%
444370.566836892 1
 
1.1%
444467.312715941 1
 
1.1%
Other values (72) 72
82.8%
ValueCountFrequency (%)
441557.179656218 1
1.1%
441630.077624843 1
1.1%
443621.342018504 1
1.1%
443977.012671589 1
1.1%
444058.465089517 1
1.1%
444092.87549641 1
1.1%
444133.338603466 1
1.1%
444266.609812808 1
1.1%
444338.739765925 1
1.1%
444353.684205677 1
1.1%
ValueCountFrequency (%)
447231.954885143 1
1.1%
447092.815391301 1
1.1%
447075.512360873 1
1.1%
447041.788168808 1
1.1%
447020.420866992 1
1.1%
446895.028902481 1
1.1%
446867.588235408 1
1.1%
446852.078363788 1
1.1%
446848.654294053 1
1.1%
446835.931404503 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
관광숙박업
44 
<NA>
43 

Length

Max length5
Median length5
Mean length4.5057471
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 44
50.6%
<NA> 43
49.4%

Length

2024-04-06T22:14:54.205752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:54.357587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 44
50.6%
na 43
49.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
68 
관광사업
19 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
78.2%
관광사업 19
 
21.8%

Length

2024-04-06T22:14:54.529045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:54.693014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
78.2%
관광사업 19
 
21.8%

지역구분명
Categorical

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
56 
일반주거지역
13 
일반상업지역
13 
상업지역
 
4
주거지역
 
1

Length

Max length6
Median length4
Mean length4.5977011
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
64.4%
일반주거지역 13
 
14.9%
일반상업지역 13
 
14.9%
상업지역 4
 
4.6%
주거지역 1
 
1.1%

Length

2024-04-06T22:14:54.930468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:55.259715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
64.4%
일반주거지역 13
 
14.9%
일반상업지역 13
 
14.9%
상업지역 4
 
4.6%
주거지역 1
 
1.1%

총층수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)54.5%
Missing54
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean15.757576
Minimum5
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:55.435835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q18
median15
Q322
95-th percentile28
Maximum37
Range32
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.1318444
Coefficient of variation (CV)0.51605936
Kurtosis-0.19061442
Mean15.757576
Median Absolute Deviation (MAD)7
Skewness0.57876002
Sum520
Variance66.126894
MonotonicityNot monotonic
2024-04-06T22:14:55.593770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 4
 
4.6%
12 4
 
4.6%
22 3
 
3.4%
24 3
 
3.4%
6 3
 
3.4%
18 2
 
2.3%
19 2
 
2.3%
11 2
 
2.3%
5 1
 
1.1%
31 1
 
1.1%
Other values (8) 8
 
9.2%
(Missing) 54
62.1%
ValueCountFrequency (%)
5 1
 
1.1%
6 3
3.4%
7 4
4.6%
8 1
 
1.1%
10 1
 
1.1%
11 2
2.3%
12 4
4.6%
15 1
 
1.1%
17 1
 
1.1%
18 2
2.3%
ValueCountFrequency (%)
37 1
 
1.1%
31 1
 
1.1%
26 1
 
1.1%
24 3
3.4%
23 1
 
1.1%
22 3
3.4%
20 1
 
1.1%
19 2
2.3%
18 2
2.3%
17 1
 
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
60 
기타
21 
주택가주변
 
3
학교정화(절대)
 
1
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.6896552
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
69.0%
기타 21
 
24.1%
주택가주변 3
 
3.4%
학교정화(절대) 1
 
1.1%
학교정화(상대) 1
 
1.1%
유흥업소밀집지역 1
 
1.1%

Length

2024-04-06T22:14:55.746215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:55.902019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
69.0%
기타 21
 
24.1%
주택가주변 3
 
3.4%
학교정화(절대 1
 
1.1%
학교정화(상대 1
 
1.1%
유흥업소밀집지역 1
 
1.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

건물용도명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
50 
호텔
22 
숙박시설
15 

Length

Max length4
Median length4
Mean length3.4942529
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
57.5%
호텔 22
25.3%
숙박시설 15
 
17.2%

Length

2024-04-06T22:14:56.105771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:56.294358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
57.5%
호텔 22
25.3%
숙박시설 15
 
17.2%

지상층수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)46.2%
Missing48
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean12.717949
Minimum4
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:56.430391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.9
Q17
median12
Q317
95-th percentile24.2
Maximum33
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.5892605
Coefficient of variation (CV)0.51810717
Kurtosis0.98556756
Mean12.717949
Median Absolute Deviation (MAD)5
Skewness0.89178453
Sum496
Variance43.418354
MonotonicityNot monotonic
2024-04-06T22:14:56.583210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 6
 
6.9%
6 4
 
4.6%
19 3
 
3.4%
14 3
 
3.4%
5 3
 
3.4%
17 3
 
3.4%
15 3
 
3.4%
7 2
 
2.3%
4 2
 
2.3%
9 2
 
2.3%
Other values (8) 8
 
9.2%
(Missing) 48
55.2%
ValueCountFrequency (%)
4 2
 
2.3%
5 3
3.4%
6 4
4.6%
7 2
 
2.3%
9 2
 
2.3%
10 6
6.9%
12 1
 
1.1%
13 1
 
1.1%
14 3
3.4%
15 3
3.4%
ValueCountFrequency (%)
33 1
 
1.1%
26 1
 
1.1%
24 1
 
1.1%
20 1
 
1.1%
19 3
3.4%
18 1
 
1.1%
17 3
3.4%
16 1
 
1.1%
15 3
3.4%
14 3
3.4%

지하층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)18.4%
Missing49
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean3.0789474
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:56.702831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.8654987
Coefficient of variation (CV)0.60588846
Kurtosis-1.1999439
Mean3.0789474
Median Absolute Deviation (MAD)2
Skewness0.32731204
Sum117
Variance3.4800853
MonotonicityNot monotonic
2024-04-06T22:14:56.832615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 12
 
13.8%
5 7
 
8.0%
2 5
 
5.7%
3 5
 
5.7%
4 5
 
5.7%
6 3
 
3.4%
7 1
 
1.1%
(Missing) 49
56.3%
ValueCountFrequency (%)
1 12
13.8%
2 5
5.7%
3 5
5.7%
4 5
5.7%
5 7
8.0%
6 3
 
3.4%
7 1
 
1.1%
ValueCountFrequency (%)
7 1
 
1.1%
6 3
 
3.4%
5 7
8.0%
4 5
5.7%
3 5
5.7%
2 5
5.7%
1 12
13.8%

객실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
82 
336
 
1
280
 
1
210
 
1
92
 
1

Length

Max length4
Median length4
Mean length3.9195402
Min length2

Unique

Unique5 ?
Unique (%)5.7%

Sample

1st row336
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 82
94.3%
336 1
 
1.1%
280 1
 
1.1%
210 1
 
1.1%
92 1
 
1.1%
28 1
 
1.1%

Length

2024-04-06T22:14:57.044106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:57.225841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
94.3%
336 1
 
1.1%
280 1
 
1.1%
210 1
 
1.1%
92 1
 
1.1%
28 1
 
1.1%

건축연면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
82 
60567
 
1
55869
 
1
792
 
1
5666
 
1

Length

Max length5
Median length4
Mean length4.0114943
Min length3

Unique

Unique5 ?
Unique (%)5.7%

Sample

1st row60567
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 82
94.3%
60567 1
 
1.1%
55869 1
 
1.1%
792 1
 
1.1%
5666 1
 
1.1%
1264 1
 
1.1%

Length

2024-04-06T22:14:57.473511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:57.653557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
94.3%
60567 1
 
1.1%
55869 1
 
1.1%
792 1
 
1.1%
5666 1
 
1.1%
1264 1
 
1.1%

영문상호명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing83
Missing (%)95.4%
Memory size828.0 B
2024-04-06T22:14:57.838208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length13.5
Min length9

Characters and Unicode

Total characters54
Distinct characters18
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

Unique4 ?
Unique (%)100.0%

Sample

1st rowLE MERIDIEN SEOUL HOTEL
2nd rowGLAD LIVE
3rd rowHOTEL ENTRA
4th rowWALTZ HOTEL
ValueCountFrequency (%)
hotel 3
30.0%
le 1
 
10.0%
meridien 1
 
10.0%
seoul 1
 
10.0%
glad 1
 
10.0%
live 1
 
10.0%
entra 1
 
10.0%
waltz 1
 
10.0%
2024-04-06T22:14:58.227083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 9
16.7%
L 8
14.8%
6
11.1%
T 5
9.3%
O 4
7.4%
I 3
 
5.6%
H 3
 
5.6%
A 3
 
5.6%
D 2
 
3.7%
N 2
 
3.7%
Other values (8) 9
16.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 48
88.9%
Space Separator 6
 
11.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 9
18.8%
L 8
16.7%
T 5
10.4%
O 4
8.3%
I 3
 
6.2%
H 3
 
6.2%
A 3
 
6.2%
D 2
 
4.2%
N 2
 
4.2%
R 2
 
4.2%
Other values (7) 7
14.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 48
88.9%
Common 6
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 9
18.8%
L 8
16.7%
T 5
10.4%
O 4
8.3%
I 3
 
6.2%
H 3
 
6.2%
A 3
 
6.2%
D 2
 
4.2%
N 2
 
4.2%
R 2
 
4.2%
Other values (7) 7
14.6%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 9
16.7%
L 8
14.8%
6
11.1%
T 5
9.3%
O 4
7.4%
I 3
 
5.6%
H 3
 
5.6%
A 3
 
5.6%
D 2
 
3.7%
N 2
 
3.7%
Other values (8) 9
16.7%

영문상호주소
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
84 
TOURIST HOTEL BUSINESS
 
3

Length

Max length22
Median length4
Mean length4.6206897
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> 84
96.6%
TOURIST HOTEL BUSINESS 3
 
3.4%

Length

2024-04-06T22:14:58.420552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:58.574447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
90.3%
tourist 3
 
3.2%
hotel 3
 
3.2%
business 3
 
3.2%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing51
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean16837.617
Minimum211.57
Maximum128324.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:58.715842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211.57
5-th percentile280.0925
Q12975.4425
median5674.49
Q316773.903
95-th percentile63476.485
Maximum128324.19
Range128112.62
Interquartile range (IQR)13798.46

Descriptive statistics

Standard deviation26238.741
Coefficient of variation (CV)1.5583405
Kurtosis8.9739232
Mean16837.617
Median Absolute Deviation (MAD)3889.775
Skewness2.7937766
Sum606154.21
Variance6.8847153 × 108
MonotonicityNot monotonic
2024-04-06T22:14:58.898263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
13593.54 1
 
1.1%
1895.83 1
 
1.1%
3997.73 1
 
1.1%
10200.01 1
 
1.1%
9949.48 1
 
1.1%
4628.45 1
 
1.1%
1999.18 1
 
1.1%
1673.6 1
 
1.1%
247.91 1
 
1.1%
290.82 1
 
1.1%
Other values (26) 26
29.9%
(Missing) 51
58.6%
ValueCountFrequency (%)
211.57 1
1.1%
247.91 1
1.1%
290.82 1
1.1%
1673.6 1
1.1%
1895.83 1
1.1%
1999.18 1
1.1%
2064.14 1
1.1%
2137.27 1
1.1%
2848.67 1
1.1%
3017.7 1
1.1%
ValueCountFrequency (%)
128324.19 1
1.1%
72205.69 1
1.1%
60566.75 1
1.1%
55868.53 1
1.1%
41813.27 1
1.1%
36111.54 1
1.1%
28421.75 1
1.1%
21261.88 1
1.1%
17318.29 1
1.1%
16592.44 1
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing77
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean7.24564 × 109
Minimum30000000
Maximum2 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:59.079336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile1.56 × 108
Q11 × 109
median4.5 × 109
Q31.21855 × 1010
95-th percentile1.896608 × 1010
Maximum2 × 1010
Range1.997 × 1010
Interquartile range (IQR)1.11855 × 1010

Descriptive statistics

Standard deviation7.6841711 × 109
Coefficient of variation (CV)1.0605234
Kurtosis-1.270544
Mean7.24564 × 109
Median Absolute Deviation (MAD)4.33 × 109
Skewness0.6062554
Sum7.24564 × 1010
Variance5.9046486 × 1019
MonotonicityNot monotonic
2024-04-06T22:14:59.253622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1000000000 3
 
3.4%
8000000000 1
 
1.1%
12664000000 1
 
1.1%
10750000000 1
 
1.1%
310000000 1
 
1.1%
17702400000 1
 
1.1%
20000000000 1
 
1.1%
30000000 1
 
1.1%
(Missing) 77
88.5%
ValueCountFrequency (%)
30000000 1
 
1.1%
310000000 1
 
1.1%
1000000000 3
3.4%
8000000000 1
 
1.1%
10750000000 1
 
1.1%
12664000000 1
 
1.1%
17702400000 1
 
1.1%
20000000000 1
 
1.1%
ValueCountFrequency (%)
20000000000 1
 
1.1%
17702400000 1
 
1.1%
12664000000 1
 
1.1%
10750000000 1
 
1.1%
8000000000 1
 
1.1%
1000000000 3
3.4%
310000000 1
 
1.1%
30000000 1
 
1.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing51
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean16837.667
Minimum212
Maximum128324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-06T22:14:59.468284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum212
5-th percentile280.25
Q12975.75
median5674.5
Q316773.5
95-th percentile63476.75
Maximum128324
Range128112
Interquartile range (IQR)13797.75

Descriptive statistics

Standard deviation26238.759
Coefficient of variation (CV)1.558337
Kurtosis8.9738177
Mean16837.667
Median Absolute Deviation (MAD)3889.5
Skewness2.793765
Sum606156
Variance6.884725 × 108
MonotonicityNot monotonic
2024-04-06T22:14:59.658484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
13594 1
 
1.1%
1896 1
 
1.1%
3998 1
 
1.1%
10200 1
 
1.1%
9949 1
 
1.1%
4628 1
 
1.1%
1999 1
 
1.1%
1674 1
 
1.1%
248 1
 
1.1%
291 1
 
1.1%
Other values (26) 26
29.9%
(Missing) 51
58.6%
ValueCountFrequency (%)
212 1
1.1%
248 1
1.1%
291 1
1.1%
1674 1
1.1%
1896 1
1.1%
1999 1
1.1%
2064 1
1.1%
2137 1
1.1%
2849 1
1.1%
3018 1
1.1%
ValueCountFrequency (%)
128324 1
1.1%
72206 1
1.1%
60567 1
1.1%
55869 1
1.1%
41813 1
1.1%
36112 1
1.1%
28422 1
1.1%
21262 1
1.1%
17318 1
1.1%
16592 1
1.1%

관광숙박업상세명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
64 
관광호텔업
17 
호스텔업
 
4
가족호텔업
 
1
소형호텔업
 
1

Length

Max length5
Median length4
Mean length4.2183908
Min length4

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
73.6%
관광호텔업 17
 
19.5%
호스텔업 4
 
4.6%
가족호텔업 1
 
1.1%
소형호텔업 1
 
1.1%

Length

2024-04-06T22:14:59.895446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:15:00.069105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
73.6%
관광호텔업 17
 
19.5%
호스텔업 4
 
4.6%
가족호텔업 1
 
1.1%
소형호텔업 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03220000CDFI226003197800000119780510<NA>3폐업3폐업20210826<NA><NA><NA>3451-8000<NA><NA>서울특별시 강남구 역삼동 602서울특별시 강남구 봉은사로 120 (역삼동, 호텔 리츠칼튼 서울)6124르 메르디앙 서울 호텔2021-08-26 12:47:59U2021-08-28 02:40:00.0<NA>202299.611121444739.274033관광숙박업관광사업<NA>24<NA><NA><NA>호텔17733660567LE MERIDIEN SEOUL HOTEL<NA><NA><NA><NA><NA><NA><NA><NA>60566.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60567관광호텔업
13220000CDFI22600319780000021978-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>541-3111<NA><NA>서울특별시 강남구 청담동 53-7서울특별시 강남구 영동대로 737 (청담동, 호텔리베라)6071호텔리베라서울2023-03-02 09:06:57U2022-12-03 00:04:00.0<NA>204714.758457446852.078364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFI22600319820000011982-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>557-1221<NA><NA>서울특별시 강남구 역삼동 604-11서울특별시 강남구 봉은사로 150 (역삼동, 삼정관광호텔)6125삼정관광호텔2023-02-23 15:07:59U2022-12-01 22:05:00.0<NA>202699.226067444846.764226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFI226003198500000119850221<NA>3폐업3폐업20060703<NA><NA><NA><NA><NA>135957서울특별시 강남구 청담동 129-7번지서울특별시 강남구 압구정로79길 76 (청담동)<NA>호텔프리마Ⅱ2006-07-04 14:04:33I2018-08-31 23:59:59.0<NA>204674.24698447041.788169관광숙박업관광사업<NA>12<NA><NA><NA>호텔102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5547.38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5547<NA>
43220000CDFI226003198600000119861214<NA>3폐업3폐업20211231<NA><NA><NA>6202-2013<NA><NA>서울특별시 강남구 삼성동 112-5서울특별시 강남구 봉은사로 410 (삼성동, 라마다서울호텔)6153라미드 호텔(RAMID HOTEL)2021-12-31 15:01:45U2022-01-02 02:40:00.0<NA>203943.259445342.390545관광숙박업관광사업<NA>15<NA><NA><NA>호텔123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>28421.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>28422<NA>
53220000CDFI22600319870000011987-05-01<NA>2휴업2휴업<NA>2024-03-312025-03-31<NA>540-3456<NA><NA>서울특별시 강남구 논현동 151-27서울특별시 강남구 논현로 647 (논현동, 힐탑관광호텔)6116힐탑관광호텔2024-03-06 14:35:27U2023-12-03 00:09:00.0<NA>202673.670269445483.986505<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI22600319870000021987-06-27<NA>3폐업3폐업2024-01-25<NA><NA><NA>02-546-0225<NA><NA>서울특별시 강남구 삼성동 45-10서울특별시 강남구 봉은사로 459 (삼성동, 자이언트관광호텔)6096자이안트2024-01-25 16:10:35U2023-11-30 22:07:00.0<NA>204324.263443445580.187539<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFI226003198800000119880603<NA>3폐업3폐업20170112<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 676번지서울특별시 강남구 테헤란로 237 (역삼동, 삼부오피스빌딩)6142벨레상스 서울 호텔2017-01-12 16:08:21I2018-08-31 23:59:59.0<NA>203599.062772444556.062267관광숙박업관광사업<NA>26<NA><NA><NA>호텔242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72205.69<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72206<NA>
83220000CDFI226003198800000219880907<NA>3폐업3폐업20220516<NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 52-3 프리마호텔서울특별시 강남구 도산대로 536, 프리마호텔 (청담동)6071프리마관광호텔2022-05-23 10:11:45U2021-12-04 22:05:00.0<NA>204549.998846446895.028902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFI226003198800000319881208<NA>3폐업3폐업20160815<NA><NA><NA>555-7575<NA><NA>서울특별시 강남구 삼성동 141-10번지서울특별시 강남구 테헤란로63길 9 (삼성동, 그린그래스관광호텔)6162그린그래스관광호텔2016-08-19 17:40:47I2018-08-31 23:59:59.0<NA>204369.881018444844.447866관광숙박업관광사업상업지역<NA>기타<NA><NA>호텔103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8360.61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8361<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
773220000CDFI226003201800000720181226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 60-8서울특별시 강남구 도산대로 216 (논현동)6047에이든 청담호텔2021-10-26 18:07:34U2021-10-28 02:40:00.0<NA>202624.921453446421.03681관광숙박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
783220000CDFI226003201900000120190424<NA>1영업/정상13영업중<NA><NA><NA><NA>02-311-9000<NA><NA>서울특별시 강남구 삼성동 91-28번지서울특별시 강남구 영동대로 618, 호텔인나인 (삼성동)6081호텔 인 나인2019-04-24 09:02:07I2019-04-26 02:20:49.0<NA>205230.860541445942.050996관광숙박업<NA>일반상업지역<NA>기타<NA><NA>숙박시설194<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
793220000CDFI22600320190000022019-06-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3442-7832<NA><NA>서울특별시 강남구 청담동 91-2 4층서울특별시 강남구 도산대로 419, 4층층 (청담동)6016호텔리베라 아노블리2023-03-02 09:07:37U2022-12-03 00:04:00.0<NA>203610.123149446848.654294<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803220000CDFI226003201900000320190910<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2193-1234<NA><NA>서울특별시 강남구 신사동 603서울특별시 강남구 논현로 854, 안다즈서울강남 (신사동)6022안다즈 서울 강남2021-04-14 18:44:30U2021-04-16 02:40:00.0<NA>202482.216635447020.420867관광숙박업<NA>일반주거지역22주택가주변<NA><NA>호텔175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36111.54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36112관광호텔업
813220000CDFI22600320200000012020-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2175-9000<NA><NA>서울특별시 강남구 삼성동 168-3 유니온타워서울특별시 강남구 영동대로 506, 유니온타 (삼성동)6173신라스테이 삼성2023-03-24 10:22:01U2022-12-02 22:06:00.0<NA>205513.023203445316.784824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823220000CDFI22600320200000022020-08-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-539-6360<NA><NA>서울특별시 강남구 신사동 561-19서울특별시 강남구 도산대로 153 (신사동)6037호텔안테룸서울2024-01-08 10:01:30U2023-11-30 23:00:00.0<NA>202159.749483446291.277157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833220000CDFI22600320210000012021-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 6-9서울특별시 강남구 논현로149길 40, 화이트린넨하우스 (논현동)6040화이트린넨하우스 호스텔2023-02-14 14:27:18U2022-12-01 23:06:00.0<NA>202166.609544446168.480344<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843220000CDFI22600320210000022021-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-727-7200<NA><NA>서울특별시 강남구 역삼동 676 센터필드서울특별시 강남구 테헤란로 231, 센터필드 (역삼동)6142(주)조선호텔앤리조트 조선팰리스강남2023-12-21 15:13:58U2022-11-01 22:03:00.0<NA>203599.062772444556.062267<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853220000CDFI226003202200000120220418<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-0647<NA><NA>서울특별시 강남구 논현동 6 보코서울강남(가족호텔)서울특별시 강남구 도산대로 144, 보코서울강남(가족호텔) (논현동)6040보코 서울 강남2022-04-18 15:13:16I2021-12-03 22:00:00.0<NA>202108.433847446160.61824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863220000CDFI22600320220000022022-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6742-1565<NA><NA>서울특별시 강남구 논현동 74-6서울특별시 강남구 논현로 734 (논현동)6049아난티 앳 강남2023-07-25 16:07:38U2022-12-06 22:07:00.0<NA>202545.820551446151.727131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>