Overview

Dataset statistics

Number of variables61
Number of observations59
Missing cells1643
Missing cells (%)45.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.4 KiB
Average record size in memory527.2 B

Variable types

Categorical20
Text8
DateTime6
Unsupported17
Numeric10

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17402/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
보험기관명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (64.2%)Imbalance
문화사업자구분명 is highly imbalanced (71.0%)Imbalance
주변환경명 is highly imbalanced (57.4%)Imbalance
건물용도명 is highly imbalanced (57.2%)Imbalance
지하층수 is highly imbalanced (55.6%)Imbalance
선박총톤수 is highly imbalanced (71.0%)Imbalance
선박척수 is highly imbalanced (71.0%)Imbalance
무대면적 is highly imbalanced (71.0%)Imbalance
좌석수 is highly imbalanced (71.0%)Imbalance
회의실별동시수용인원 is highly imbalanced (71.0%)Imbalance
놀이시설수 is highly imbalanced (71.0%)Imbalance
인허가취소일자 has 59 (100.0%) missing valuesMissing
폐업일자 has 44 (74.6%) missing valuesMissing
휴업시작일자 has 58 (98.3%) missing valuesMissing
휴업종료일자 has 58 (98.3%) missing valuesMissing
재개업일자 has 59 (100.0%) missing valuesMissing
전화번호 has 11 (18.6%) missing valuesMissing
소재지면적 has 59 (100.0%) missing valuesMissing
소재지우편번호 has 35 (59.3%) missing valuesMissing
도로명주소 has 2 (3.4%) missing valuesMissing
도로명우편번호 has 3 (5.1%) missing valuesMissing
업태구분명 has 59 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.7%) missing valuesMissing
좌표정보(Y) has 1 (1.7%) missing valuesMissing
총층수 has 45 (76.3%) missing valuesMissing
제작취급품목내용 has 59 (100.0%) missing valuesMissing
보험기관명 has 58 (98.3%) missing valuesMissing
지상층수 has 46 (78.0%) missing valuesMissing
객실수 has 46 (78.0%) missing valuesMissing
건축연면적 has 49 (83.1%) missing valuesMissing
영문상호명 has 46 (78.0%) missing valuesMissing
선박제원 has 59 (100.0%) missing valuesMissing
기념품종류 has 59 (100.0%) missing valuesMissing
시설면적 has 45 (76.3%) missing valuesMissing
놀이기구수내역 has 59 (100.0%) missing valuesMissing
방송시설유무 has 59 (100.0%) missing valuesMissing
발전시설유무 has 59 (100.0%) missing valuesMissing
의무실유무 has 59 (100.0%) missing valuesMissing
안내소유무 has 59 (100.0%) missing valuesMissing
기획여행보험시작일자 has 59 (100.0%) missing valuesMissing
기획여행보험종료일자 has 59 (100.0%) missing valuesMissing
자본금 has 47 (79.7%) missing valuesMissing
보험시작일자 has 59 (100.0%) missing valuesMissing
보험종료일자 has 59 (100.0%) missing valuesMissing
부대시설내역 has 59 (100.0%) missing valuesMissing
시설규모 has 45 (76.3%) missing valuesMissing
관리번호 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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:19:00.618379
Analysis finished2024-04-06 12:19:02.295574
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
3000000
59 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 59
100.0%

Length

2024-04-06T21:19:02.424219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:02.598049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 59
100.0%

관리번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-04-06T21:19:02.900620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1180
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031967000001
2nd rowCDFI2260031968000001
3rd rowCDFI2260031969000001
4th rowCDFI2260031970000001
5th rowCDFI2260031974000001
ValueCountFrequency (%)
cdfi2260031967000001 1
 
1.7%
cdfi2260032015000001 1
 
1.7%
cdfi2260032015000004 1
 
1.7%
cdfi2260032015000005 1
 
1.7%
cdfi2260032015000006 1
 
1.7%
cdfi2260032015000007 1
 
1.7%
cdfi2260032016000001 1
 
1.7%
cdfi2260032016000002 1
 
1.7%
cdfi2260032016000003 1
 
1.7%
cdfi2260032016000004 1
 
1.7%
Other values (49) 49
83.1%
2024-04-06T21:19:03.515024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 473
40.1%
2 193
16.4%
3 79
 
6.7%
6 72
 
6.1%
1 72
 
6.1%
C 59
 
5.0%
D 59
 
5.0%
F 59
 
5.0%
I 59
 
5.0%
4 17
 
1.4%
Other values (4) 38
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 944
80.0%
Uppercase Letter 236
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 473
50.1%
2 193
20.4%
3 79
 
8.4%
6 72
 
7.6%
1 72
 
7.6%
4 17
 
1.8%
9 12
 
1.3%
5 10
 
1.1%
7 8
 
0.8%
8 8
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 59
25.0%
D 59
25.0%
F 59
25.0%
I 59
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 944
80.0%
Latin 236
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 473
50.1%
2 193
20.4%
3 79
 
8.4%
6 72
 
7.6%
1 72
 
7.6%
4 17
 
1.8%
9 12
 
1.3%
5 10
 
1.1%
7 8
 
0.8%
8 8
 
0.8%
Latin
ValueCountFrequency (%)
C 59
25.0%
D 59
25.0%
F 59
25.0%
I 59
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 473
40.1%
2 193
16.4%
3 79
 
6.7%
6 72
 
6.1%
1 72
 
6.1%
C 59
 
5.0%
D 59
 
5.0%
F 59
 
5.0%
I 59
 
5.0%
4 17
 
1.4%
Other values (4) 38
 
3.2%
Distinct57
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum1967-04-03 00:00:00
Maximum2024-02-21 00:00:00
2024-04-06T21:19:03.792197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:04.076022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B
Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
43 
3
15 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 43
72.9%
3 15
 
25.4%
2 1
 
1.7%

Length

2024-04-06T21:19:04.378067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:04.578692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
72.9%
3 15
 
25.4%
2 1
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업/정상
43 
폐업
15 
휴업
 
1

Length

Max length5
Median length5
Mean length4.1864407
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 43
72.9%
폐업 15
 
25.4%
휴업 1
 
1.7%

Length

2024-04-06T21:19:04.830167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:05.053135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
72.9%
폐업 15
 
25.4%
휴업 1
 
1.7%
Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
13
43 
3
15 
2
 
1

Length

Max length2
Median length2
Mean length1.7288136
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2
2nd row13
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 43
72.9%
3 15
 
25.4%
2 1
 
1.7%

Length

2024-04-06T21:19:05.277441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:05.463007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
72.9%
3 15
 
25.4%
2 1
 
1.7%
Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업중
43 
폐업
15 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7288136
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
72.9%
폐업 15
 
25.4%
휴업 1
 
1.7%

Length

2024-04-06T21:19:05.700298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:05.918443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
72.9%
폐업 15
 
25.4%
휴업 1
 
1.7%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing44
Missing (%)74.6%
Memory size604.0 B
Minimum2005-12-30 00:00:00
Maximum2023-01-13 00:00:00
2024-04-06T21:19:06.124915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:06.359189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing58
Missing (%)98.3%
Memory size604.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2024-04-06T21:19:06.580855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:06.769424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing58
Missing (%)98.3%
Memory size604.0 B
Minimum2027-12-31 00:00:00
Maximum2027-12-31 00:00:00
2024-04-06T21:19:06.967736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:07.163135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing11
Missing (%)18.6%
Memory size604.0 B
2024-04-06T21:19:07.585227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.645833
Min length8

Characters and Unicode

Total characters559
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row02-734-6884
2nd row02-741-7811
3rd row02-6365-6500
4th row02-741-7080
5th row02-735-9001
ValueCountFrequency (%)
02 2
 
3.8%
02-2268-8011 1
 
1.9%
736-1234 1
 
1.9%
02-733-5600 1
 
1.9%
02-6388-5000 1
 
1.9%
02-3675-7885 1
 
1.9%
02-6060-9000 1
 
1.9%
9182 1
 
1.9%
22318723 1
 
1.9%
745 1
 
1.9%
Other values (42) 42
79.2%
2024-04-06T21:19:08.504767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
21.3%
- 88
15.7%
2 84
15.0%
7 48
8.6%
3 39
 
7.0%
4 38
 
6.8%
1 36
 
6.4%
6 33
 
5.9%
8 29
 
5.2%
5 23
 
4.1%
Other values (3) 22
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 461
82.5%
Dash Punctuation 88
 
15.7%
Space Separator 7
 
1.3%
Other Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
25.8%
2 84
18.2%
7 48
10.4%
3 39
 
8.5%
4 38
 
8.2%
1 36
 
7.8%
6 33
 
7.2%
8 29
 
6.3%
5 23
 
5.0%
9 12
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
21.3%
- 88
15.7%
2 84
15.0%
7 48
8.6%
3 39
 
7.0%
4 38
 
6.8%
1 36
 
6.4%
6 33
 
5.9%
8 29
 
5.2%
5 23
 
4.1%
Other values (3) 22
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
21.3%
- 88
15.7%
2 84
15.0%
7 48
8.6%
3 39
 
7.0%
4 38
 
6.8%
1 36
 
6.4%
6 33
 
5.9%
8 29
 
5.2%
5 23
 
4.1%
Other values (3) 22
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

소재지우편번호
Text

MISSING 

Distinct20
Distinct (%)83.3%
Missing35
Missing (%)59.3%
Memory size604.0 B
2024-04-06T21:19:08.876082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.5833333
Min length6

Characters and Unicode

Total characters158
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

Unique17 ?
Unique (%)70.8%

Sample

1st row110130
2nd row110846
3rd row110450
4th row110-320
5th row110-420
ValueCountFrequency (%)
110360 3
 
12.5%
110-340 2
 
8.3%
110450 2
 
8.3%
110-836 1
 
4.2%
110-126 1
 
4.2%
110-380 1
 
4.2%
110-450 1
 
4.2%
110-842 1
 
4.2%
110-111 1
 
4.2%
110825 1
 
4.2%
Other values (10) 10
41.7%
2024-04-06T21:19:09.510610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
35.4%
0 41
25.9%
- 14
 
8.9%
3 11
 
7.0%
4 10
 
6.3%
6 6
 
3.8%
8 6
 
3.8%
5 5
 
3.2%
2 5
 
3.2%
7 3
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
91.1%
Dash Punctuation 14
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
38.9%
0 41
28.5%
3 11
 
7.6%
4 10
 
6.9%
6 6
 
4.2%
8 6
 
4.2%
5 5
 
3.5%
2 5
 
3.5%
7 3
 
2.1%
9 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
35.4%
0 41
25.9%
- 14
 
8.9%
3 11
 
7.0%
4 10
 
6.3%
6 6
 
3.8%
8 6
 
3.8%
5 5
 
3.2%
2 5
 
3.2%
7 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
35.4%
0 41
25.9%
- 14
 
8.9%
3 11
 
7.0%
4 10
 
6.3%
6 6
 
3.8%
8 6
 
3.8%
5 5
 
3.2%
2 5
 
3.2%
7 3
 
1.9%
Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-04-06T21:19:10.054473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length20.576271
Min length16

Characters and Unicode

Total characters1214
Distinct characters98
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row서울특별시 종로구 종로2가 9 (8층)
2nd row서울특별시 종로구 창신동 444-14
3rd row서울특별시 종로구 장사동 227-1
4th row서울특별시 종로구 창신동 436-73
5th row서울특별시 종로구 청진동 92번지
ValueCountFrequency (%)
서울특별시 59
22.8%
종로구 59
22.8%
숭인동 10
 
3.9%
익선동 6
 
2.3%
원남동 5
 
1.9%
창신동 4
 
1.5%
217-26 4
 
1.5%
낙원동 4
 
1.5%
관훈동 3
 
1.2%
호텔 3
 
1.2%
Other values (87) 102
39.4%
2024-04-06T21:19:11.004677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
17.8%
64
 
5.3%
63
 
5.2%
60
 
4.9%
59
 
4.9%
59
 
4.9%
59
 
4.9%
59
 
4.9%
59
 
4.9%
57
 
4.7%
Other values (88) 459
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
59.9%
Decimal Number 219
 
18.0%
Space Separator 216
 
17.8%
Dash Punctuation 39
 
3.2%
Lowercase Letter 9
 
0.7%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
8.8%
63
 
8.7%
60
 
8.3%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
57
 
7.8%
14
 
1.9%
Other values (66) 174
23.9%
Decimal Number
ValueCountFrequency (%)
2 46
21.0%
1 41
18.7%
4 24
11.0%
3 23
10.5%
8 16
 
7.3%
6 16
 
7.3%
7 16
 
7.3%
9 14
 
6.4%
5 13
 
5.9%
0 10
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 2
22.2%
t 1
11.1%
g 1
11.1%
o 1
11.1%
u 1
11.1%
h 1
11.1%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
59.9%
Common 478
39.4%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
8.8%
63
 
8.7%
60
 
8.3%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
57
 
7.8%
14
 
1.9%
Other values (66) 174
23.9%
Common
ValueCountFrequency (%)
216
45.2%
2 46
 
9.6%
1 41
 
8.6%
- 39
 
8.2%
4 24
 
5.0%
3 23
 
4.8%
8 16
 
3.3%
6 16
 
3.3%
7 16
 
3.3%
9 14
 
2.9%
Other values (5) 27
 
5.6%
Latin
ValueCountFrequency (%)
e 2
22.2%
l 2
22.2%
t 1
11.1%
g 1
11.1%
o 1
11.1%
u 1
11.1%
h 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
59.9%
ASCII 487
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
44.4%
2 46
 
9.4%
1 41
 
8.4%
- 39
 
8.0%
4 24
 
4.9%
3 23
 
4.7%
8 16
 
3.3%
6 16
 
3.3%
7 16
 
3.3%
9 14
 
2.9%
Other values (12) 36
 
7.4%
Hangul
ValueCountFrequency (%)
64
 
8.8%
63
 
8.7%
60
 
8.3%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
59
 
8.1%
57
 
7.8%
14
 
1.9%
Other values (66) 174
23.9%

도로명주소
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing2
Missing (%)3.4%
Memory size604.0 B
2024-04-06T21:19:11.568644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length28.736842
Min length23

Characters and Unicode

Total characters1638
Distinct characters133
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

Unique57 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 종로 69 (종로2가, YMCA)
2nd row서울특별시 종로구 종로 286 (창신동, 이스턴호텔)
3rd row서울특별시 종로구 청계천로 137 (장사동, 센트럴관광호텔)
4th row서울특별시 종로구 청계천로 341 (창신동, 삼호호텔)
5th row서울특별시 종로구 삼일대로30길 9 (낙원동, 종로 크라운 호텔)
ValueCountFrequency (%)
서울특별시 57
 
17.4%
종로구 57
 
17.4%
숭인동 10
 
3.0%
익선동 6
 
1.8%
청계천로 6
 
1.8%
율곡로 5
 
1.5%
원남동 5
 
1.5%
창신동 4
 
1.2%
호텔 4
 
1.2%
종로 4
 
1.2%
Other values (129) 170
51.8%
2024-04-06T21:19:12.522221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
16.6%
115
 
7.0%
73
 
4.5%
61
 
3.7%
59
 
3.6%
58
 
3.5%
58
 
3.5%
( 57
 
3.5%
57
 
3.5%
57
 
3.5%
Other values (123) 771
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 975
59.5%
Space Separator 272
 
16.6%
Decimal Number 218
 
13.3%
Open Punctuation 57
 
3.5%
Close Punctuation 57
 
3.5%
Other Punctuation 35
 
2.1%
Lowercase Letter 9
 
0.5%
Dash Punctuation 7
 
0.4%
Uppercase Letter 5
 
0.3%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
11.8%
73
 
7.5%
61
 
6.3%
59
 
6.1%
58
 
5.9%
58
 
5.9%
57
 
5.8%
57
 
5.8%
57
 
5.8%
32
 
3.3%
Other values (95) 348
35.7%
Decimal Number
ValueCountFrequency (%)
1 45
20.6%
2 37
17.0%
3 29
13.3%
6 24
11.0%
7 18
 
8.3%
4 16
 
7.3%
9 14
 
6.4%
0 13
 
6.0%
8 11
 
5.0%
5 11
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 2
22.2%
g 1
11.1%
h 1
11.1%
u 1
11.1%
o 1
11.1%
t 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
Y 1
20.0%
G 1
20.0%
A 1
20.0%
C 1
20.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 975
59.5%
Common 649
39.6%
Latin 14
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
11.8%
73
 
7.5%
61
 
6.3%
59
 
6.1%
58
 
5.9%
58
 
5.9%
57
 
5.8%
57
 
5.8%
57
 
5.8%
32
 
3.3%
Other values (95) 348
35.7%
Common
ValueCountFrequency (%)
272
41.9%
( 57
 
8.8%
) 57
 
8.8%
1 45
 
6.9%
2 37
 
5.7%
, 35
 
5.4%
3 29
 
4.5%
6 24
 
3.7%
7 18
 
2.8%
4 16
 
2.5%
Other values (6) 59
 
9.1%
Latin
ValueCountFrequency (%)
e 2
14.3%
l 2
14.3%
Y 1
7.1%
g 1
7.1%
h 1
7.1%
u 1
7.1%
o 1
7.1%
t 1
7.1%
G 1
7.1%
A 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 975
59.5%
ASCII 663
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
41.0%
( 57
 
8.6%
) 57
 
8.6%
1 45
 
6.8%
2 37
 
5.6%
, 35
 
5.3%
3 29
 
4.4%
6 24
 
3.6%
7 18
 
2.7%
4 16
 
2.4%
Other values (18) 73
 
11.0%
Hangul
ValueCountFrequency (%)
115
 
11.8%
73
 
7.5%
61
 
6.3%
59
 
6.1%
58
 
5.9%
58
 
5.9%
57
 
5.8%
57
 
5.8%
57
 
5.8%
32
 
3.3%
Other values (95) 348
35.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)53.6%
Missing3
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean3136.2857
Minimum3010
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:12.807922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3010
5-th percentile3106.5
Q13119
median3132
Q33146
95-th percentile3192.25
Maximum3198
Range188
Interquartile range (IQR)27

Descriptive statistics

Standard deviation31.886568
Coefficient of variation (CV)0.010166985
Kurtosis3.8019105
Mean3136.2857
Median Absolute Deviation (MAD)13
Skewness-0.6097651
Sum175632
Variance1016.7532
MonotonicityNot monotonic
2024-04-06T21:19:13.313896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3115 8
 
13.6%
3132 7
 
11.9%
3134 4
 
6.8%
3145 3
 
5.1%
3149 2
 
3.4%
3131 2
 
3.4%
3130 2
 
3.4%
3116 2
 
3.4%
3119 2
 
3.4%
3139 2
 
3.4%
Other values (20) 22
37.3%
(Missing) 3
 
5.1%
ValueCountFrequency (%)
3010 1
 
1.7%
3079 1
 
1.7%
3081 1
 
1.7%
3115 8
13.6%
3116 2
 
3.4%
3119 2
 
3.4%
3120 1
 
1.7%
3121 1
 
1.7%
3123 1
 
1.7%
3127 1
 
1.7%
ValueCountFrequency (%)
3198 1
1.7%
3196 1
1.7%
3193 1
1.7%
3192 1
1.7%
3191 1
1.7%
3190 1
1.7%
3189 1
1.7%
3183 1
1.7%
3164 1
1.7%
3163 2
3.4%

사업장명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-04-06T21:19:13.872391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.0338983
Min length2

Characters and Unicode

Total characters533
Distinct characters146
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row서울YMCA관광호텔
2nd row동대문관광호텔
3rd row센추럴
4th rowVATICA HOTEL(바티카 호텔)
5th row서울
ValueCountFrequency (%)
호텔 13
 
11.0%
서울 7
 
5.9%
동대문 5
 
4.2%
호스텔 5
 
4.2%
인사동 5
 
4.2%
프리미어 2
 
1.7%
종로 2
 
1.7%
오라카이 2
 
1.7%
hostel 2
 
1.7%
stay 2
 
1.7%
Other values (72) 73
61.9%
2024-04-06T21:19:14.631826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
11.1%
38
 
7.1%
37
 
6.9%
24
 
4.5%
14
 
2.6%
12
 
2.3%
11
 
2.1%
11
 
2.1%
10
 
1.9%
9
 
1.7%
Other values (136) 308
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
68.3%
Space Separator 59
 
11.1%
Uppercase Letter 58
 
10.9%
Lowercase Letter 29
 
5.4%
Decimal Number 12
 
2.3%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
10.4%
37
 
10.2%
24
 
6.6%
14
 
3.8%
12
 
3.3%
11
 
3.0%
11
 
3.0%
10
 
2.7%
9
 
2.5%
8
 
2.2%
Other values (92) 190
52.2%
Uppercase Letter
ValueCountFrequency (%)
O 7
12.1%
A 6
 
10.3%
N 5
 
8.6%
C 4
 
6.9%
E 4
 
6.9%
T 4
 
6.9%
M 3
 
5.2%
I 3
 
5.2%
H 3
 
5.2%
D 3
 
5.2%
Other values (9) 16
27.6%
Lowercase Letter
ValueCountFrequency (%)
t 4
13.8%
e 4
13.8%
s 4
13.8%
o 4
13.8%
y 2
6.9%
m 2
6.9%
l 2
6.9%
u 2
6.9%
a 1
 
3.4%
n 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
4 3
25.0%
3 1
 
8.3%
9 1
 
8.3%
8 1
 
8.3%
7 1
 
8.3%
0 1
 
8.3%
1 1
 
8.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
68.3%
Latin 87
 
16.3%
Common 82
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
10.4%
37
 
10.2%
24
 
6.6%
14
 
3.8%
12
 
3.3%
11
 
3.0%
11
 
3.0%
10
 
2.7%
9
 
2.5%
8
 
2.2%
Other values (92) 190
52.2%
Latin
ValueCountFrequency (%)
O 7
 
8.0%
A 6
 
6.9%
N 5
 
5.7%
t 4
 
4.6%
e 4
 
4.6%
s 4
 
4.6%
o 4
 
4.6%
C 4
 
4.6%
E 4
 
4.6%
T 4
 
4.6%
Other values (22) 41
47.1%
Common
ValueCountFrequency (%)
59
72.0%
) 4
 
4.9%
( 4
 
4.9%
- 3
 
3.7%
2 3
 
3.7%
4 3
 
3.7%
3 1
 
1.2%
9 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
68.3%
ASCII 169
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
34.9%
O 7
 
4.1%
A 6
 
3.6%
N 5
 
3.0%
t 4
 
2.4%
e 4
 
2.4%
s 4
 
2.4%
o 4
 
2.4%
C 4
 
2.4%
E 4
 
2.4%
Other values (34) 68
40.2%
Hangul
ValueCountFrequency (%)
38
 
10.4%
37
 
10.2%
24
 
6.6%
14
 
3.8%
12
 
3.3%
11
 
3.0%
11
 
3.0%
10
 
2.7%
9
 
2.5%
8
 
2.2%
Other values (92) 190
52.2%

최종수정일자
Date

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2005-12-30 18:06:29
Maximum2024-03-25 10:41:41
2024-04-06T21:19:14.912430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:15.178736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
U
55 
I
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 55
93.2%
I 4
 
6.8%

Length

2024-04-06T21:19:15.443362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:15.672610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 55
93.2%
i 4
 
6.8%
Distinct28
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-04-06T21:19:15.866722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:16.130148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)89.7%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean199651.6
Minimum197733.39
Maximum201949.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:16.571413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197733.39
5-th percentile198213.4
Q1198830.36
median199137.28
Q3200608.37
95-th percentile201721.53
Maximum201949.27
Range4215.8789
Interquartile range (IQR)1778.0073

Descriptive statistics

Standard deviation1216.8694
Coefficient of variation (CV)0.0060949642
Kurtosis-0.8199531
Mean199651.6
Median Absolute Deviation (MAD)627.40657
Skewness0.64286195
Sum11579793
Variance1480771.1
MonotonicityNot monotonic
2024-04-06T21:19:16.830729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201649.840328936 4
 
6.8%
199764.69151091 2
 
3.4%
198469.85451949 2
 
3.4%
199022.300982384 2
 
3.4%
198630.79627088 1
 
1.7%
199747.024385135 1
 
1.7%
198354.893145135 1
 
1.7%
197758.993026787 1
 
1.7%
199243.960959498 1
 
1.7%
198260.063190604 1
 
1.7%
Other values (42) 42
71.2%
ValueCountFrequency (%)
197733.39181877 1
1.7%
197758.993026787 1
1.7%
197949.002174181 1
1.7%
198260.063190604 1
1.7%
198354.893145135 1
1.7%
198469.85451949 2
3.4%
198498.918632911 1
1.7%
198534.549198735 1
1.7%
198545.22241783 1
1.7%
198586.86523867 1
1.7%
ValueCountFrequency (%)
201949.270716491 1
 
1.7%
201895.419403144 1
 
1.7%
201770.687981914 1
 
1.7%
201712.855210767 1
 
1.7%
201687.573879734 1
 
1.7%
201649.840328936 4
6.8%
201643.277882724 1
 
1.7%
201302.883783666 1
 
1.7%
201214.620228217 1
 
1.7%
200846.171043058 1
 
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)89.7%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean452475.12
Minimum451826.54
Maximum456478.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:17.054435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451826.54
5-th percentile451851.82
Q1452191.08
median452326.55
Q3452516.87
95-th percentile452831.37
Maximum456478.44
Range4651.896
Interquartile range (IQR)325.7952

Descriptive statistics

Standard deviation798.08972
Coefficient of variation (CV)0.0017638312
Kurtosis20.049793
Mean452475.12
Median Absolute Deviation (MAD)153.41404
Skewness4.3161868
Sum26243557
Variance636947.2
MonotonicityNot monotonic
2024-04-06T21:19:17.331973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452323.368074798 4
 
6.8%
452177.255224359 2
 
3.4%
452315.746209246 2
 
3.4%
452472.976006603 2
 
3.4%
452035.412646906 1
 
1.7%
453304.910568114 1
 
1.7%
452526.073191496 1
 
1.7%
452053.420838552 1
 
1.7%
452293.899531079 1
 
1.7%
452262.484573124 1
 
1.7%
Other values (42) 42
71.2%
ValueCountFrequency (%)
451826.54074884 1
1.7%
451827.704774757 1
1.7%
451834.817165156 1
1.7%
451854.820889784 1
1.7%
451887.51214766 1
1.7%
451980.604036907 1
1.7%
451982.388503793 1
1.7%
452011.865092338 1
1.7%
452035.412646906 1
1.7%
452040.323909642 1
1.7%
ValueCountFrequency (%)
456478.436790904 1
1.7%
456346.84737021 1
1.7%
453304.910568114 1
1.7%
452747.807991092 1
1.7%
452732.545380767 1
1.7%
452710.006795455 1
1.7%
452648.894407231 1
1.7%
452646.808088738 1
1.7%
452611.575936538 1
1.7%
452606.614384676 1
1.7%
Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
43 
관광숙박업
16 

Length

Max length5
Median length4
Mean length4.2711864
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
72.9%
관광숙박업 16
 
27.1%

Length

2024-04-06T21:19:17.600446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:17.802803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
72.9%
관광숙박업 16
 
27.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
관광사업
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
관광사업 3
 
5.1%

Length

2024-04-06T21:19:18.036863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:18.652493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
관광사업 3
 
5.1%

지역구분명
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
46 
일반상업지역
11 
상업지역
 
2

Length

Max length6
Median length4
Mean length4.3728814
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> 46
78.0%
일반상업지역 11
 
18.6%
상업지역 2
 
3.4%

Length

2024-04-06T21:19:18.890157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:19.153914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
78.0%
일반상업지역 11
 
18.6%
상업지역 2
 
3.4%

총층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)78.6%
Missing45
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean9.1428571
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:19.406301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q15
median9
Q313.25
95-th percentile18.35
Maximum19
Range18
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation5.6820519
Coefficient of variation (CV)0.62147443
Kurtosis-0.93581072
Mean9.1428571
Median Absolute Deviation (MAD)4.5
Skewness0.41781807
Sum128
Variance32.285714
MonotonicityNot monotonic
2024-04-06T21:19:19.652300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 3
 
5.1%
9 2
 
3.4%
10 1
 
1.7%
15 1
 
1.7%
4 1
 
1.7%
18 1
 
1.7%
3 1
 
1.7%
14 1
 
1.7%
11 1
 
1.7%
19 1
 
1.7%
(Missing) 45
76.3%
ValueCountFrequency (%)
1 1
 
1.7%
3 1
 
1.7%
4 1
 
1.7%
5 3
5.1%
9 2
3.4%
10 1
 
1.7%
11 1
 
1.7%
14 1
 
1.7%
15 1
 
1.7%
18 1
 
1.7%
ValueCountFrequency (%)
19 1
 
1.7%
18 1
 
1.7%
15 1
 
1.7%
14 1
 
1.7%
11 1
 
1.7%
10 1
 
1.7%
9 2
3.4%
5 3
5.1%
4 1
 
1.7%
3 1
 
1.7%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
49 
학교정화(상대)
기타
 
2
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length4.4745763
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
83.1%
학교정화(상대) 7
 
11.9%
기타 2
 
3.4%
유흥업소밀집지역 1
 
1.7%

Length

2024-04-06T21:19:19.962413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:20.179744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
83.1%
학교정화(상대 7
 
11.9%
기타 2
 
3.4%
유흥업소밀집지역 1
 
1.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing58
Missing (%)98.3%
Memory size604.0 B
2024-04-06T21:19:20.395757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowKB손해보험
ValueCountFrequency (%)
kb손해보험 1
100.0%
2024-04-06T21:19:20.917655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 1
16.7%
B 1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Uppercase Letter 2
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Latin 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
48 
숙박시설
근린생활시설
 
1
호텔
 
1

Length

Max length6
Median length4
Mean length4
Min length2

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
81.4%
숙박시설 9
 
15.3%
근린생활시설 1
 
1.7%
호텔 1
 
1.7%

Length

2024-04-06T21:19:21.205462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:21.454776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
81.4%
숙박시설 9
 
15.3%
근린생활시설 1
 
1.7%
호텔 1
 
1.7%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing46
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean8.6153846
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:21.640598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q15
median8
Q313
95-th percentile15.6
Maximum18
Range17
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.8911223
Coefficient of variation (CV)0.56771955
Kurtosis-0.51976491
Mean8.6153846
Median Absolute Deviation (MAD)3
Skewness0.45196395
Sum112
Variance23.923077
MonotonicityNot monotonic
2024-04-06T21:19:21.842107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 3
 
5.1%
9 2
 
3.4%
14 2
 
3.4%
8 1
 
1.7%
13 1
 
1.7%
4 1
 
1.7%
7 1
 
1.7%
18 1
 
1.7%
1 1
 
1.7%
(Missing) 46
78.0%
ValueCountFrequency (%)
1 1
 
1.7%
4 1
 
1.7%
5 3
5.1%
7 1
 
1.7%
8 1
 
1.7%
9 2
3.4%
13 1
 
1.7%
14 2
3.4%
18 1
 
1.7%
ValueCountFrequency (%)
18 1
 
1.7%
14 2
3.4%
13 1
 
1.7%
9 2
3.4%
8 1
 
1.7%
7 1
 
1.7%
5 3
5.1%
4 1
 
1.7%
1 1
 
1.7%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
47 
2
1
 
3
0
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.3898305
Min length1

Unique

Unique2 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row2

Common Values

ValueCountFrequency (%)
<NA> 47
79.7%
2 5
 
8.5%
1 3
 
5.1%
0 2
 
3.4%
3 1
 
1.7%
5 1
 
1.7%

Length

2024-04-06T21:19:22.090881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:22.291522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
79.7%
2 5
 
8.5%
1 3
 
5.1%
0 2
 
3.4%
3 1
 
1.7%
5 1
 
1.7%

객실수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing46
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean65.692308
Minimum8
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:22.487777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.6
Q114
median21
Q3100
95-th percentile234
Maximum237
Range229
Interquartile range (IQR)86

Descriptive statistics

Standard deviation81.570404
Coefficient of variation (CV)1.241704
Kurtosis1.3190986
Mean65.692308
Median Absolute Deviation (MAD)12
Skewness1.5706846
Sum854
Variance6653.7308
MonotonicityNot monotonic
2024-04-06T21:19:22.715989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 2
 
3.4%
15 1
 
1.7%
21 1
 
1.7%
20 1
 
1.7%
30 1
 
1.7%
58 1
 
1.7%
237 1
 
1.7%
14 1
 
1.7%
101 1
 
1.7%
8 1
 
1.7%
Other values (2) 2
 
3.4%
(Missing) 46
78.0%
ValueCountFrequency (%)
8 1
1.7%
9 2
3.4%
14 1
1.7%
15 1
1.7%
20 1
1.7%
21 1
1.7%
30 1
1.7%
58 1
1.7%
100 1
1.7%
101 1
1.7%
ValueCountFrequency (%)
237 1
1.7%
232 1
1.7%
101 1
1.7%
100 1
1.7%
58 1
1.7%
30 1
1.7%
21 1
1.7%
20 1
1.7%
15 1
1.7%
14 1
1.7%

건축연면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing49
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean2953.5
Minimum171
Maximum19413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:22.989421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171
5-th percentile219.15
Q1488.75
median738
Q32398.5
95-th percentile12024.45
Maximum19413
Range19242
Interquartile range (IQR)1909.75

Descriptive statistics

Standard deviation5867.6704
Coefficient of variation (CV)1.9866837
Kurtosis9.2177843
Mean2953.5
Median Absolute Deviation (MAD)513.5
Skewness3.0001839
Sum29535
Variance34429556
MonotonicityNot monotonic
2024-04-06T21:19:23.393519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
888 1
 
1.7%
469 1
 
1.7%
548 1
 
1.7%
1482 1
 
1.7%
2704 1
 
1.7%
588 1
 
1.7%
171 1
 
1.7%
278 1
 
1.7%
2994 1
 
1.7%
19413 1
 
1.7%
(Missing) 49
83.1%
ValueCountFrequency (%)
171 1
1.7%
278 1
1.7%
469 1
1.7%
548 1
1.7%
588 1
1.7%
888 1
1.7%
1482 1
1.7%
2704 1
1.7%
2994 1
1.7%
19413 1
1.7%
ValueCountFrequency (%)
19413 1
1.7%
2994 1
1.7%
2704 1
1.7%
1482 1
1.7%
888 1
1.7%
588 1
1.7%
548 1
1.7%
469 1
1.7%
278 1
1.7%
171 1
1.7%

영문상호명
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing46
Missing (%)78.0%
Memory size604.0 B
2024-04-06T21:19:23.723255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length14.769231
Min length8

Characters and Unicode

Total characters192
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st rowStay in GAM
2nd rowHostel Tommy
3rd rowHostel STAY NOW
4th rowHOSTELKOREA
5th rowKIM HAK NOH
ValueCountFrequency (%)
hostel 4
 
11.1%
hotel 4
 
11.1%
stay 2
 
5.6%
seoul 1
 
2.8%
kd 1
 
2.8%
daehakro 1
 
2.8%
orakai 1
 
2.8%
dm 1
 
2.8%
alice 1
 
2.8%
jongro 1
 
2.8%
Other values (19) 19
52.8%
2024-04-06T21:19:24.337582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
12.0%
o 17
 
8.9%
e 16
 
8.3%
H 13
 
6.8%
t 11
 
5.7%
l 10
 
5.2%
a 8
 
4.2%
O 7
 
3.6%
r 5
 
2.6%
n 5
 
2.6%
Other values (30) 77
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99
51.6%
Uppercase Letter 67
34.9%
Space Separator 23
 
12.0%
Other Punctuation 2
 
1.0%
Decimal Number 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 13
19.4%
O 7
10.4%
A 5
 
7.5%
D 4
 
6.0%
K 4
 
6.0%
N 4
 
6.0%
S 4
 
6.0%
T 3
 
4.5%
M 3
 
4.5%
E 3
 
4.5%
Other values (10) 17
25.4%
Lowercase Letter
ValueCountFrequency (%)
o 17
17.2%
e 16
16.2%
t 11
11.1%
l 10
10.1%
a 8
8.1%
r 5
 
5.1%
n 5
 
5.1%
s 5
 
5.1%
m 4
 
4.0%
i 4
 
4.0%
Other values (6) 14
14.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 166
86.5%
Common 26
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 17
 
10.2%
e 16
 
9.6%
H 13
 
7.8%
t 11
 
6.6%
l 10
 
6.0%
a 8
 
4.8%
O 7
 
4.2%
r 5
 
3.0%
n 5
 
3.0%
A 5
 
3.0%
Other values (26) 69
41.6%
Common
ValueCountFrequency (%)
23
88.5%
, 1
 
3.8%
. 1
 
3.8%
7 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
 
12.0%
o 17
 
8.9%
e 16
 
8.3%
H 13
 
6.8%
t 11
 
5.7%
l 10
 
5.2%
a 8
 
4.2%
O 7
 
3.6%
r 5
 
2.6%
n 5
 
2.6%
Other values (30) 77
40.1%
Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
46 
Tourist Accommodation Business
Tourist Accommodation Business(Hostel)
 
3
Tourist Accomodation Business
 
2
Tourist Accomodation Business(Hostel)
 
2

Length

Max length38
Median length4
Mean length10.338983
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> 46
78.0%
Tourist Accommodation Business 6
 
10.2%
Tourist Accommodation Business(Hostel) 3
 
5.1%
Tourist Accomodation Business 2
 
3.4%
Tourist Accomodation Business(Hostel) 2
 
3.4%

Length

2024-04-06T21:19:24.688680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:24.930378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
54.1%
tourist 13
 
15.3%
accommodation 9
 
10.6%
business 8
 
9.4%
business(hostel 5
 
5.9%
accomodation 4
 
4.7%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:25.186937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:25.363801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:25.594462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:25.837000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:26.063938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:26.309754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:26.519918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:26.714689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:27.102339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:27.389764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

시설면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing45
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean3353.7221
Minimum234.71
Maximum19412.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:27.620829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234.71
5-th percentile234.9895
Q1314.7625
median1034.55
Q32921.545
95-th percentile13248.14
Maximum19412.5
Range19177.79
Interquartile range (IQR)2606.7825

Descriptive statistics

Standard deviation5352.99
Coefficient of variation (CV)1.596134
Kurtosis6.4382747
Mean3353.7221
Median Absolute Deviation (MAD)799.625
Skewness2.4797512
Sum46952.11
Variance28654502
MonotonicityNot monotonic
2024-04-06T21:19:27.860732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5358.27 1
 
1.7%
423.76 1
 
1.7%
234.71 1
 
1.7%
547.0 1
 
1.7%
1481.0 1
 
1.7%
235.14 1
 
1.7%
2704.0 1
 
1.7%
9928.87 1
 
1.7%
588.1 1
 
1.7%
2507.0 1
 
1.7%
Other values (4) 4
 
6.8%
(Missing) 45
76.3%
ValueCountFrequency (%)
234.71 1
1.7%
235.14 1
1.7%
259.27 1
1.7%
278.43 1
1.7%
423.76 1
1.7%
547.0 1
1.7%
588.1 1
1.7%
1481.0 1
1.7%
2507.0 1
1.7%
2704.0 1
1.7%
ValueCountFrequency (%)
19412.5 1
1.7%
9928.87 1
1.7%
5358.27 1
1.7%
2994.06 1
1.7%
2704.0 1
1.7%
2507.0 1
1.7%
1481.0 1
1.7%
588.1 1
1.7%
547.0 1
1.7%
423.76 1
1.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
56 
0
 
3

Length

Max length4
Median length4
Mean length3.8474576
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
94.9%
0 3
 
5.1%

Length

2024-04-06T21:19:28.193761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:28.509055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
94.9%
0 3
 
5.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

자본금
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing47
Missing (%)79.7%
Infinite0
Infinite (%)0.0%
Mean1.5526983 × 109
Minimum70000000
Maximum9 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:28.709198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70000000
5-th percentile86500000
Q11.9 × 108
median4 × 108
Q36.59595 × 108
95-th percentile7.35 × 109
Maximum9 × 109
Range8.93 × 109
Interquartile range (IQR)4.69595 × 108

Descriptive statistics

Standard deviation2.8621659 × 109
Coefficient of variation (CV)1.8433496
Kurtosis4.1676313
Mean1.5526983 × 109
Median Absolute Deviation (MAD)2.4 × 108
Skewness2.241641
Sum1.863238 × 1010
Variance8.1919937 × 1018
MonotonicityNot monotonic
2024-04-06T21:19:29.029281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
500000000 2
 
3.4%
300000000 2
 
3.4%
100000000 2
 
3.4%
220000000 1
 
1.7%
994380000 1
 
1.7%
6000000000 1
 
1.7%
9000000000 1
 
1.7%
548000000 1
 
1.7%
70000000 1
 
1.7%
(Missing) 47
79.7%
ValueCountFrequency (%)
70000000 1
1.7%
100000000 2
3.4%
220000000 1
1.7%
300000000 2
3.4%
500000000 2
3.4%
548000000 1
1.7%
994380000 1
1.7%
6000000000 1
1.7%
9000000000 1
1.7%
ValueCountFrequency (%)
9000000000 1
1.7%
6000000000 1
1.7%
994380000 1
1.7%
548000000 1
1.7%
500000000 2
3.4%
300000000 2
3.4%
220000000 1
1.7%
100000000 2
3.4%
70000000 1
1.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing45
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean3353.7143
Minimum235
Maximum19413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-06T21:19:29.273956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235
5-th percentile235
Q1314.5
median1034.5
Q32921.5
95-th percentile13248.4
Maximum19413
Range19178
Interquartile range (IQR)2607

Descriptive statistics

Standard deviation5353.1284
Coefficient of variation (CV)1.596179
Kurtosis6.4384943
Mean3353.7143
Median Absolute Deviation (MAD)799.5
Skewness2.4797915
Sum46952
Variance28655984
MonotonicityNot monotonic
2024-04-06T21:19:29.584029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
235 2
 
3.4%
5358 1
 
1.7%
424 1
 
1.7%
547 1
 
1.7%
1481 1
 
1.7%
2704 1
 
1.7%
9929 1
 
1.7%
588 1
 
1.7%
2507 1
 
1.7%
278 1
 
1.7%
Other values (3) 3
 
5.1%
(Missing) 45
76.3%
ValueCountFrequency (%)
235 2
3.4%
259 1
1.7%
278 1
1.7%
424 1
1.7%
547 1
1.7%
588 1
1.7%
1481 1
1.7%
2507 1
1.7%
2704 1
1.7%
2994 1
1.7%
ValueCountFrequency (%)
19413 1
1.7%
9929 1
1.7%
5358 1
1.7%
2994 1
1.7%
2704 1
1.7%
2507 1
1.7%
1481 1
1.7%
588 1
1.7%
547 1
1.7%
424 1
1.7%
Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
46 
호스텔업
관광호텔업
 
4

Length

Max length5
Median length4
Mean length4.0677966
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> 46
78.0%
호스텔업 9
 
15.3%
관광호텔업 4
 
6.8%

Length

2024-04-06T21:19:29.833756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:30.098947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
78.0%
호스텔업 9
 
15.3%
관광호텔업 4
 
6.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03000000CDFI22600319670000011967-04-03<NA>2휴업2휴업<NA>2023-01-012027-12-31<NA>02-734-6884<NA><NA>서울특별시 종로구 종로2가 9 (8층)서울특별시 종로구 종로 69 (종로2가, YMCA)3164서울YMCA관광호텔2023-06-15 13:47:15U2022-12-05 23:07:00.0<NA>198630.796271452035.412647<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFI22600319680000011968-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-741-7811<NA><NA>서울특별시 종로구 창신동 444-14서울특별시 종로구 종로 286 (창신동, 이스턴호텔)3119동대문관광호텔2023-10-10 09:08:32U2022-10-30 23:02:00.0<NA>200846.171043452069.005122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFI22600319690000011969-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6365-6500<NA><NA>서울특별시 종로구 장사동 227-1서울특별시 종로구 청계천로 137 (장사동, 센트럴관광호텔)3193센추럴2023-11-22 17:26:41U2022-10-31 22:04:00.0<NA>199302.818541451834.817165<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFI22600319700000011970-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-741-7080<NA><NA>서울특별시 종로구 창신동 436-73서울특별시 종로구 청계천로 341 (창신동, 삼호호텔)3120VATICA HOTEL(바티카 호텔)2024-01-09 09:50:33U2023-11-30 23:01:00.0<NA>201302.883784451982.388504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFI226003197400000119740401<NA>3폐업3폐업20080104<NA><NA><NA>02-735-9001<NA>110130서울특별시 종로구 청진동 92번지<NA><NA>서울2008-01-04 14:29:13I2018-08-31 23:59:59.0<NA><NA><NA>관광숙박업관광사업<NA>10<NA><NA><NA><NA>82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5358.27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5358<NA>
53000000CDFI22600319800000011980-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3676-8000<NA><NA>서울특별시 종로구 낙원동 25서울특별시 종로구 삼일대로30길 9 (낙원동, 종로 크라운 호텔)3132종로크라운2023-10-10 09:25:46U2022-10-30 23:02:00.0<NA>198886.944446452419.429557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFI22600319900000011990-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-379-0520<NA><NA>서울특별시 종로구 평창동 66-50서울특별시 종로구 평창문화로 136 (평창동, 킴스관광호텔)3010동화킴스관광호텔2023-11-22 17:24:14U2022-10-31 22:05:00.0<NA>197733.391819456346.84737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFI226003200300000120030711<NA>3폐업3폐업20051230<NA><NA><NA>02-2287-6070<NA>110846서울특별시 종로구 평창동 108-2번지<NA><NA>(주)올림피아스위트2005-12-30 18:06:29I2018-08-31 23:59:59.0<NA>197949.002174456478.436791관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFI226003200300000220031210<NA>3폐업3폐업20120830<NA><NA><NA>02-763-3233<NA>110450서울특별시 종로구 원남동 36번지서울특별시 종로구 율곡로 176 (원남동)<NA>비원관광호텔2012-09-05 09:27:14I2018-08-31 23:59:59.0<NA>199775.90153452592.442233관광숙박업관광사업<NA>15<NA><NA><NA><NA>132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFI22600320070000012007-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6262-8282<NA>110-320서울특별시 종로구 낙원동 272서울특별시 종로구 인사동4길 18 (낙원동)3163오라카이 인사동 스위츠2024-01-19 09:19:30U2023-11-30 22:01:00.0<NA>198811.497418452301.907781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
493000000CDFI22600320190000032019-10-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-758-1700<NA><NA>서울특별시 종로구 낙원동 134-2서울특별시 종로구 돈화문로11길 37 (낙원동)3139목시 서울 인사동 호텔2023-06-29 16:34:13U2022-12-07 00:01:00.0<NA>198988.983646452223.097221<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503000000CDFI226003202000000120201023<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2236-3144<NA><NA>서울특별시 종로구 숭인동 217-19서울특별시 종로구 난계로29길 73, 호텔디엠 (숭인동)3115호텔 DM2022-01-04 17:13:14U2022-01-06 02:40:00.0<NA>201643.277883452339.843126관광숙박업<NA>일반상업지역11학교정화(상대)<NA><NA>숙박시설921002994Hotel DMTourist Accommodation Business00<NA>00<NA>02994.06<NA>0<NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA>2994관광호텔업
513000000CDFI226003202000000220201116<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6353-7700<NA><NA>서울특별시 종로구 원남동 49-17 오라카이 대학로 호텔서울특별시 종로구 율곡로 180, 오라카이 대학로 호텔 (원남동)3127오라카이 대학로 호텔2022-01-04 17:13:58U2022-01-06 02:40:00.0<NA>199821.363678452603.475535관광숙박업<NA>일반상업지역19<NA><NA><NA>숙박시설14523219413Orakai Daehakro HotelTourist Accommodation Business00<NA>00<NA>019412.5<NA>0<NA><NA><NA><NA><NA><NA>548000000<NA><NA><NA>19413관광호텔업
523000000CDFI226003202100000120210114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 217-26 케이디오피스텔서울특별시 종로구 종로62길 17, 7층 (숭인동)3115케이디호스텔 72021-03-23 09:59:49U2021-03-25 02:40:00.0<NA>201649.840329452323.368075관광숙박업<NA>일반상업지역1학교정화(상대)<NA><NA>숙박시설1<NA>9<NA>KD Hostel 7Tourist Accomodation Business(Hostel)<NA><NA><NA><NA><NA><NA><NA>259.27<NA><NA><NA><NA><NA><NA><NA><NA>70000000<NA><NA><NA>259호스텔업
533000000CDFI22600320210000022021-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 217-26서울특별시 종로구 종로62길 17, 8층 (숭인동)3115KD-ONE82023-10-20 10:04:01U2022-10-30 22:02:00.0<NA>201649.840329452323.368075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543000000CDFI22600320210000032021-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 217-26서울특별시 종로구 종로62길 17, 9층 (숭인동)3115KD-ONE92023-10-20 10:04:41U2022-10-30 22:02:00.0<NA>201649.840329452323.368075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553000000CDFI22600320210000042021-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 익선동 89서울특별시 종로구 삼일대로32가길 38, 킹스가든 2~7층 (익선동)3132킹스가든2023-09-20 08:55:16U2022-12-08 22:02:00.0<NA>199022.300982452472.976007<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563000000CDFI22600320230000012023-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 원남동 233 종로하루서울특별시 종로구 창경궁로21가길 5-3, 종로하루 (원남동)3136종로하루2023-10-20 10:07:51U2022-10-30 22:02:00.0<NA>199626.352161452520.392539<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573000000CDFI22600320230000022023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 217-26 케이디오피스텔서울특별시 종로구 종로62길 17, 케이디오피스텔 4~5층 (숭인동)3115케이디 호스텔2024-02-21 17:05:07U2023-12-01 22:03:00.0<NA>201649.840329452323.368075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583000000CDFI22600320240000012024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6006-9114<NA><NA>서울특별시 종로구 견지동 65-1 천마빌딩서울특별시 종로구 우정국로 46, 천마빌딩 (견지동)3145더프리마호텔 종로2024-03-25 10:41:41U2023-12-02 22:07:00.0<NA>198469.854519452315.746209<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>