Overview

Dataset statistics

Number of variables60
Number of observations55
Missing cells1582
Missing cells (%)47.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.1 KiB
Average record size in memory523.4 B

Variable types

Categorical19
Text8
DateTime4
Unsupported21
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17457/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지하층수 is highly imbalanced (51.5%)Imbalance
객실수 is highly imbalanced (51.3%)Imbalance
영문상호주소 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 36 (65.5%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 44 (80.0%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 49 (89.1%) missing valuesMissing
도로명우편번호 has 6 (10.9%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.8%) missing valuesMissing
좌표정보(Y) has 1 (1.8%) missing valuesMissing
문화사업자구분명 has 55 (100.0%) missing valuesMissing
총층수 has 43 (78.2%) missing valuesMissing
주변환경명 has 51 (92.7%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
보험기관명 has 55 (100.0%) missing valuesMissing
지상층수 has 42 (76.4%) missing valuesMissing
영문상호명 has 46 (83.6%) missing valuesMissing
선박제원 has 55 (100.0%) missing valuesMissing
기념품종류 has 55 (100.0%) missing valuesMissing
시설면적 has 34 (61.8%) missing valuesMissing
놀이기구수내역 has 55 (100.0%) missing valuesMissing
방송시설유무 has 55 (100.0%) missing valuesMissing
발전시설유무 has 55 (100.0%) missing valuesMissing
의무실유무 has 55 (100.0%) missing valuesMissing
안내소유무 has 55 (100.0%) missing valuesMissing
기획여행보험시작일자 has 55 (100.0%) missing valuesMissing
기획여행보험종료일자 has 55 (100.0%) missing valuesMissing
자본금 has 40 (72.7%) missing valuesMissing
보험시작일자 has 55 (100.0%) missing valuesMissing
보험종료일자 has 55 (100.0%) missing valuesMissing
부대시설내역 has 55 (100.0%) missing valuesMissing
시설규모 has 34 (61.8%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 4 (7.3%) zerosZeros
지상층수 has 2 (3.6%) zerosZeros
자본금 has 5 (9.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:19:59.623922
Analysis finished2024-04-29 19:20:00.497210
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3050000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 55
100.0%

Length

2024-04-30T04:20:00.566740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:00.643187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-30T04:20:00.781541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000011
2nd rowCDFI2262212023000008
3rd rowCDFI2262212023000006
4th rowCDFI2262212023000007
5th rowCDFI2262212023000012
ValueCountFrequency (%)
cdfi2262212023000011 1
 
1.8%
cdfi2262212024000007 1
 
1.8%
cdfi2262212024000003 1
 
1.8%
cdfi2262212023000004 1
 
1.8%
cdfi2262212023000002 1
 
1.8%
cdfi2262212012000002 1
 
1.8%
cdfi2262212024000005 1
 
1.8%
cdfi2262212024000006 1
 
1.8%
cdfi2262212024000008 1
 
1.8%
cdfi2262212024000009 1
 
1.8%
Other values (45) 45
81.8%
2024-04-30T04:20:01.068024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
29.5%
2 324
29.5%
1 104
 
9.5%
6 61
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
3 25
 
2.3%
4 19
 
1.7%
Other values (4) 22
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
36.9%
2 324
36.8%
1 104
 
11.8%
6 61
 
6.9%
3 25
 
2.8%
4 19
 
2.2%
5 7
 
0.8%
7 6
 
0.7%
9 5
 
0.6%
8 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
36.9%
2 324
36.8%
1 104
 
11.8%
6 61
 
6.9%
3 25
 
2.8%
4 19
 
2.2%
5 7
 
0.8%
7 6
 
0.7%
9 5
 
0.6%
8 4
 
0.5%
Latin
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
29.5%
2 324
29.5%
1 104
 
9.5%
6 61
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
3 25
 
2.3%
4 19
 
1.7%
Other values (4) 22
 
2.0%

인허가일자
Date

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2012-04-05 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T04:20:01.201893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:01.322084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
36 
3
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
65.5%
3 19
34.5%

Length

2024-04-30T04:20:01.429260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:01.511650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
65.5%
3 19
34.5%

영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
36 
폐업
19 

Length

Max length5
Median length5
Mean length3.9636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
65.5%
폐업 19
34.5%

Length

2024-04-30T04:20:01.622177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:01.725643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
65.5%
폐업 19
34.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
36 
3
19 

Length

Max length2
Median length2
Mean length1.6545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
65.5%
3 19
34.5%

Length

2024-04-30T04:20:01.825339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:01.902651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
65.5%
3 19
34.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
36 
폐업
19 

Length

Max length3
Median length3
Mean length2.6545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
65.5%
폐업 19
34.5%

Length

2024-04-30T04:20:01.986055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:02.063319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
65.5%
폐업 19
34.5%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing36
Missing (%)65.5%
Memory size572.0 B
Minimum2017-01-10 00:00:00
Maximum2023-12-29 00:00:00
2024-04-30T04:20:02.142404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:02.255807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing44
Missing (%)80.0%
Memory size572.0 B
2024-04-30T04:20:02.395736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.181818
Min length8

Characters and Unicode

Total characters112
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

Unique11 ?
Unique (%)100.0%

Sample

1st row07088014008
2nd row2245-4516
3rd row02-967-2953
4th row02-960-5755
5th row02-457-6646
ValueCountFrequency (%)
07088014008 1
9.1%
2245-4516 1
9.1%
02-967-2953 1
9.1%
02-960-5755 1
9.1%
02-457-6646 1
9.1%
959-0298 1
9.1%
962-2290 1
9.1%
070-4151-1957 1
9.1%
6448-0074 1
9.1%
2246-3468 1
9.1%
2024-04-30T04:20:02.632412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
14.3%
2 15
13.4%
- 15
13.4%
4 12
10.7%
6 11
9.8%
5 10
8.9%
9 9
8.0%
7 8
7.1%
8 7
6.2%
1 6
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
86.6%
Dash Punctuation 15
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
16.5%
2 15
15.5%
4 12
12.4%
6 11
11.3%
5 10
10.3%
9 9
9.3%
7 8
8.2%
8 7
7.2%
1 6
 
6.2%
3 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
14.3%
2 15
13.4%
- 15
13.4%
4 12
10.7%
6 11
9.8%
5 10
8.9%
9 9
8.0%
7 8
7.1%
8 7
6.2%
1 6
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
14.3%
2 15
13.4%
- 15
13.4%
4 12
10.7%
6 11
9.8%
5 10
8.9%
9 9
8.0%
7 8
7.1%
8 7
6.2%
1 6
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing49
Missing (%)89.1%
Memory size572.0 B
2024-04-30T04:20:02.775177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters42
Distinct characters10
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

Unique6 ?
Unique (%)100.0%

Sample

1st row130-818
2nd row130-802
3rd row130-765
4th row130-775
5th row130-856
ValueCountFrequency (%)
130-818 1
16.7%
130-802 1
16.7%
130-765 1
16.7%
130-775 1
16.7%
130-856 1
16.7%
130-719 1
16.7%
2024-04-30T04:20:03.000547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
19.0%
0 7
16.7%
3 6
14.3%
- 6
14.3%
8 4
9.5%
7 4
9.5%
5 3
 
7.1%
6 2
 
4.8%
2 1
 
2.4%
9 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
85.7%
Dash Punctuation 6
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
22.2%
0 7
19.4%
3 6
16.7%
8 4
11.1%
7 4
11.1%
5 3
 
8.3%
6 2
 
5.6%
2 1
 
2.8%
9 1
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
19.0%
0 7
16.7%
3 6
14.3%
- 6
14.3%
8 4
9.5%
7 4
9.5%
5 3
 
7.1%
6 2
 
4.8%
2 1
 
2.4%
9 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
19.0%
0 7
16.7%
3 6
14.3%
- 6
14.3%
8 4
9.5%
7 4
9.5%
5 3
 
7.1%
6 2
 
4.8%
2 1
 
2.4%
9 1
 
2.4%

지번주소
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-30T04:20:03.226695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length27.018182
Min length21

Characters and Unicode

Total characters1486
Distinct characters87
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 청량리동 222-35 1층
2nd row서울특별시 동대문구 신설동 92-126 3층
3rd row서울특별시 동대문구 제기동 272-7 지층
4th row서울특별시 동대문구 청량리동 395 1층
5th row서울특별시 동대문구 청량리동 30-18 4층
ValueCountFrequency (%)
서울특별시 55
18.7%
동대문구 55
18.7%
전농동 13
 
4.4%
청량리동 9
 
3.1%
2층 7
 
2.4%
1층 6
 
2.0%
답십리동 6
 
2.0%
휘경동 5
 
1.7%
장안동 5
 
1.7%
제기동 5
 
1.7%
Other values (106) 128
43.5%
2024-04-30T04:20:03.581464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
16.1%
동 119
 
8.0%
1 83
 
5.6%
문 59
 
4.0%
시 57
 
3.8%
대 56
 
3.8%
서 55
 
3.7%
특 55
 
3.7%
별 55
 
3.7%
구 55
 
3.7%
Other values (77) 653
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 840
56.5%
Decimal Number 356
24.0%
Space Separator 239
 
16.1%
Dash Punctuation 45
 
3.0%
Uppercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 119
14.2%
문 59
 
7.0%
시 57
 
6.8%
대 56
 
6.7%
서 55
 
6.5%
특 55
 
6.5%
별 55
 
6.5%
구 55
 
6.5%
울 55
 
6.5%
층 26
 
3.1%
Other values (61) 248
29.5%
Decimal Number
ValueCountFrequency (%)
1 83
23.3%
3 52
14.6%
0 48
13.5%
2 48
13.5%
5 31
 
8.7%
4 24
 
6.7%
6 19
 
5.3%
9 18
 
5.1%
8 18
 
5.1%
7 15
 
4.2%
Space Separator
ValueCountFrequency (%)
239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 840
56.5%
Common 642
43.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 119
14.2%
문 59
 
7.0%
시 57
 
6.8%
대 56
 
6.7%
서 55
 
6.5%
특 55
 
6.5%
별 55
 
6.5%
구 55
 
6.5%
울 55
 
6.5%
층 26
 
3.1%
Other values (61) 248
29.5%
Common
ValueCountFrequency (%)
239
37.2%
1 83
 
12.9%
3 52
 
8.1%
0 48
 
7.5%
2 48
 
7.5%
- 45
 
7.0%
5 31
 
4.8%
4 24
 
3.7%
6 19
 
3.0%
9 18
 
2.8%
Other values (4) 35
 
5.5%
Latin
ValueCountFrequency (%)
B 3
75.0%
e 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 840
56.5%
ASCII 646
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
37.0%
1 83
 
12.8%
3 52
 
8.0%
0 48
 
7.4%
2 48
 
7.4%
- 45
 
7.0%
5 31
 
4.8%
4 24
 
3.7%
6 19
 
2.9%
9 18
 
2.8%
Other values (6) 39
 
6.0%
Hangul
ValueCountFrequency (%)
동 119
14.2%
문 59
 
7.0%
시 57
 
6.8%
대 56
 
6.7%
서 55
 
6.5%
특 55
 
6.5%
별 55
 
6.5%
구 55
 
6.5%
울 55
 
6.5%
층 26
 
3.1%
Other values (61) 248
29.5%

도로명주소
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-30T04:20:03.799639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length35.527273
Min length25

Characters and Unicode

Total characters1954
Distinct characters118
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

Unique53 ?
Unique (%)96.4%

Sample

1st row서울특별시 동대문구 홍릉로8길 15, 1층 (청량리동)
2nd row서울특별시 동대문구 하정로 46, 3층 (신설동)
3rd row서울특별시 동대문구 왕산로19라길 49, 지층 (제기동)
4th row서울특별시 동대문구 홍릉로 62-9, 1층 (청량리동)
5th row서울특별시 동대문구 제기로38길 15, 4층 (청량리동)
ValueCountFrequency (%)
서울특별시 55
 
15.1%
동대문구 55
 
15.1%
전농동 13
 
3.6%
청량리동 9
 
2.5%
1층 7
 
1.9%
2층 7
 
1.9%
답십리동 6
 
1.6%
제기동 5
 
1.4%
장안동 5
 
1.4%
휘경동 5
 
1.4%
Other values (158) 198
54.2%
2024-04-30T04:20:04.156213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
15.9%
동 126
 
6.4%
1 91
 
4.7%
, 67
 
3.4%
대 66
 
3.4%
시 64
 
3.3%
서 61
 
3.1%
문 61
 
3.1%
울 61
 
3.1%
로 55
 
2.8%
Other values (108) 992
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
56.3%
Decimal Number 347
 
17.8%
Space Separator 310
 
15.9%
Other Punctuation 68
 
3.5%
Close Punctuation 55
 
2.8%
Open Punctuation 55
 
2.8%
Dash Punctuation 14
 
0.7%
Uppercase Letter 3
 
0.2%
Lowercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 126
 
11.5%
대 66
 
6.0%
시 64
 
5.8%
서 61
 
5.5%
문 61
 
5.5%
울 61
 
5.5%
로 55
 
5.0%
구 55
 
5.0%
별 55
 
5.0%
특 55
 
5.0%
Other values (89) 441
40.1%
Decimal Number
ValueCountFrequency (%)
1 91
26.2%
2 51
14.7%
0 49
14.1%
3 36
 
10.4%
5 28
 
8.1%
4 25
 
7.2%
7 18
 
5.2%
9 17
 
4.9%
8 17
 
4.9%
6 15
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 67
98.5%
@ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
56.3%
Common 850
43.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 126
 
11.5%
대 66
 
6.0%
시 64
 
5.8%
서 61
 
5.5%
문 61
 
5.5%
울 61
 
5.5%
로 55
 
5.0%
구 55
 
5.0%
별 55
 
5.0%
특 55
 
5.0%
Other values (89) 441
40.1%
Common
ValueCountFrequency (%)
310
36.5%
1 91
 
10.7%
, 67
 
7.9%
) 55
 
6.5%
( 55
 
6.5%
2 51
 
6.0%
0 49
 
5.8%
3 36
 
4.2%
5 28
 
3.3%
4 25
 
2.9%
Other values (7) 83
 
9.8%
Latin
ValueCountFrequency (%)
B 3
75.0%
e 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
56.3%
ASCII 854
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
36.3%
1 91
 
10.7%
, 67
 
7.8%
) 55
 
6.4%
( 55
 
6.4%
2 51
 
6.0%
0 49
 
5.7%
3 36
 
4.2%
5 28
 
3.3%
4 25
 
2.9%
Other values (9) 87
 
10.2%
Hangul
ValueCountFrequency (%)
동 126
 
11.5%
대 66
 
6.0%
시 64
 
5.8%
서 61
 
5.5%
문 61
 
5.5%
울 61
 
5.5%
로 55
 
5.0%
구 55
 
5.0%
별 55
 
5.0%
특 55
 
5.0%
Other values (89) 441
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)81.6%
Missing6
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean2524.0204
Minimum2400
Maximum2639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:04.268589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2400
5-th percentile2444
Q12473
median2531
Q32569
95-th percentile2618.8
Maximum2639
Range239
Interquartile range (IQR)96

Descriptive statistics

Standard deviation60.206412
Coefficient of variation (CV)0.023853378
Kurtosis-0.98404013
Mean2524.0204
Median Absolute Deviation (MAD)47
Skewness0.034633678
Sum123677
Variance3624.8121
MonotonicityNot monotonic
2024-04-30T04:20:04.378229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2444 2
 
3.6%
2521 2
 
3.6%
2451 2
 
3.6%
2550 2
 
3.6%
2487 2
 
3.6%
2556 2
 
3.6%
2484 2
 
3.6%
2454 2
 
3.6%
2473 2
 
3.6%
2549 1
 
1.8%
Other values (30) 30
54.5%
(Missing) 6
 
10.9%
ValueCountFrequency (%)
2400 1
1.8%
2428 1
1.8%
2444 2
3.6%
2451 2
3.6%
2453 1
1.8%
2454 2
3.6%
2462 1
1.8%
2469 1
1.8%
2473 2
3.6%
2474 1
1.8%
ValueCountFrequency (%)
2639 1
1.8%
2629 1
1.8%
2620 1
1.8%
2617 1
1.8%
2612 1
1.8%
2602 1
1.8%
2592 1
1.8%
2587 1
1.8%
2586 1
1.8%
2582 1
1.8%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-04-30T04:20:04.591581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length7.9636364
Min length2

Characters and Unicode

Total characters438
Distinct characters141
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row스테이 청량
2nd row메인스테이
3rd row퍼플 게스트하우스
4th row소소담 스테이
5th row떡전 스테이
ValueCountFrequency (%)
스테이 7
 
7.2%
3
 
3.1%
stay 3
 
3.1%
guesthouse 2
 
2.1%
카레집 2
 
2.1%
bnb 2
 
2.1%
24게스트하우스 2
 
2.1%
home 2
 
2.1%
house 2
 
2.1%
seoul 2
 
2.1%
Other values (70) 70
72.2%
2024-04-30T04:20:04.926703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
9.8%
스 31
 
7.1%
이 14
 
3.2%
테 12
 
2.7%
S 12
 
2.7%
하 11
 
2.5%
n 11
 
2.5%
a 11
 
2.5%
e 10
 
2.3%
우 10
 
2.3%
Other values (131) 273
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
47.0%
Uppercase Letter 90
20.5%
Lowercase Letter 80
 
18.3%
Space Separator 43
 
9.8%
Decimal Number 6
 
1.4%
Other Punctuation 5
 
1.1%
Dash Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 31
 
15.0%
이 14
 
6.8%
테 12
 
5.8%
하 11
 
5.3%
우 10
 
4.9%
리 6
 
2.9%
트 6
 
2.9%
게 5
 
2.4%
서 4
 
1.9%
위 3
 
1.5%
Other values (82) 104
50.5%
Uppercase Letter
ValueCountFrequency (%)
S 12
13.3%
H 8
 
8.9%
B 8
 
8.9%
O 8
 
8.9%
E 8
 
8.9%
U 7
 
7.8%
N 6
 
6.7%
T 4
 
4.4%
D 4
 
4.4%
R 4
 
4.4%
Other values (10) 21
23.3%
Lowercase Letter
ValueCountFrequency (%)
n 11
13.8%
a 11
13.8%
e 10
12.5%
s 9
11.2%
o 8
10.0%
t 7
8.8%
y 4
 
5.0%
u 3
 
3.8%
h 3
 
3.8%
l 3
 
3.8%
Other values (7) 11
13.8%
Other Punctuation
ValueCountFrequency (%)
' 3
60.0%
/ 1
 
20.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
4 2
33.3%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
47.0%
Latin 170
38.8%
Common 62
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 31
 
15.0%
이 14
 
6.8%
테 12
 
5.8%
하 11
 
5.3%
우 10
 
4.9%
리 6
 
2.9%
트 6
 
2.9%
게 5
 
2.4%
서 4
 
1.9%
위 3
 
1.5%
Other values (82) 104
50.5%
Latin
ValueCountFrequency (%)
S 12
 
7.1%
n 11
 
6.5%
a 11
 
6.5%
e 10
 
5.9%
s 9
 
5.3%
H 8
 
4.7%
o 8
 
4.7%
B 8
 
4.7%
O 8
 
4.7%
E 8
 
4.7%
Other values (27) 77
45.3%
Common
ValueCountFrequency (%)
43
69.4%
' 3
 
4.8%
2 3
 
4.8%
- 2
 
3.2%
4 2
 
3.2%
( 2
 
3.2%
) 2
 
3.2%
_ 1
 
1.6%
’ 1
 
1.6%
/ 1
 
1.6%
Other values (2) 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
52.7%
Hangul 206
47.0%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
18.6%
S 12
 
5.2%
n 11
 
4.8%
a 11
 
4.8%
e 10
 
4.3%
s 9
 
3.9%
H 8
 
3.5%
o 8
 
3.5%
B 8
 
3.5%
O 8
 
3.5%
Other values (38) 103
44.6%
Hangul
ValueCountFrequency (%)
스 31
 
15.0%
이 14
 
6.8%
테 12
 
5.8%
하 11
 
5.3%
우 10
 
4.9%
리 6
 
2.9%
트 6
 
2.9%
게 5
 
2.4%
서 4
 
1.9%
위 3
 
1.5%
Other values (82) 104
50.5%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정일자
Date

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2017-01-10 00:00:00
Maximum2024-04-25 14:46:57
2024-04-30T04:20:05.038440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:05.148335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
U
40 
I
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 40
72.7%
I 15
 
27.3%

Length

2024-04-30T04:20:05.248698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:05.320915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 40
72.7%
i 15
 
27.3%

데이터갱신일자
Date

Distinct33
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-04 00:05:00
2024-04-30T04:20:05.406788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:20:05.525281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)98.1%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean204520.22
Minimum202164.14
Maximum206586.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:05.643203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202164.14
5-th percentile202748.45
Q1204011.11
median204529.38
Q3205067.48
95-th percentile206391.47
Maximum206586.57
Range4422.4275
Interquartile range (IQR)1056.3667

Descriptive statistics

Standard deviation1052.8007
Coefficient of variation (CV)0.0051476607
Kurtosis-0.025165264
Mean204520.22
Median Absolute Deviation (MAD)542.9405
Skewness-0.13131341
Sum11044092
Variance1108389.3
MonotonicityNot monotonic
2024-04-30T04:20:05.950119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204405.1774 2
 
3.6%
203860.238826033 1
 
1.8%
203213.2165 1
 
1.8%
204969.551630314 1
 
1.8%
202164.144894431 1
 
1.8%
203605.289818846 1
 
1.8%
206586.572428103 1
 
1.8%
204712.735675111 1
 
1.8%
204099.657721467 1
 
1.8%
203906.560964453 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
202164.144894431 1
1.8%
202305.084916524 1
1.8%
202721.253977912 1
1.8%
202763.095640521 1
1.8%
202852.576805124 1
1.8%
202913.88783161 1
1.8%
203090.227652753 1
1.8%
203150.5179 1
1.8%
203213.2165 1
1.8%
203605.289818846 1
1.8%
ValueCountFrequency (%)
206586.572428103 1
1.8%
206586.5724 1
1.8%
206521.4053 1
1.8%
206321.5019 1
1.8%
206179.3846 1
1.8%
205980.7722 1
1.8%
205814.8253 1
1.8%
205706.9293 1
1.8%
205381.986112403 1
1.8%
205338.061022498 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)98.1%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean453303.26
Minimum451447.98
Maximum455737.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:06.049977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451447.98
5-th percentile451801.9
Q1452641.14
median453343.64
Q3453850.89
95-th percentile454707.62
Maximum455737.17
Range4289.184
Interquartile range (IQR)1209.7433

Descriptive statistics

Standard deviation966.4026
Coefficient of variation (CV)0.0021319119
Kurtosis-0.25856237
Mean453303.26
Median Absolute Deviation (MAD)676.94395
Skewness0.14120068
Sum24478376
Variance933933.99
MonotonicityNot monotonic
2024-04-30T04:20:06.148978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452666.6924 2
 
3.6%
453569.31708837 1
 
1.8%
452779.1391 1
 
1.8%
454599.6316248 1
 
1.8%
452198.425131054 1
 
1.8%
454210.206984495 1
 
1.8%
452632.62891295 1
 
1.8%
453022.250325096 1
 
1.8%
453697.596999882 1
 
1.8%
452323.052991085 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
451447.9822 1
1.8%
451546.213 1
1.8%
451625.746166436 1
1.8%
451896.756025119 1
1.8%
451906.0896 1
1.8%
451940.1191 1
1.8%
451945.556132738 1
1.8%
452195.5228 1
1.8%
452198.425131054 1
1.8%
452323.052991085 1
1.8%
ValueCountFrequency (%)
455737.166224762 1
1.8%
455275.8359 1
1.8%
454738.4498 1
1.8%
454691.0237 1
1.8%
454617.1718 1
1.8%
454599.6316248 1
1.8%
454541.284483746 1
1.8%
454412.484985567 1
1.8%
454287.9815 1
1.8%
454287.981473054 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
34 
외국인관광 도시민박업
21 

Length

Max length11
Median length4
Mean length6.6727273
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> 34
61.8%
외국인관광 도시민박업 21
38.2%

Length

2024-04-30T04:20:06.272754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:06.372188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
44.7%
외국인관광 21
27.6%
도시민박업 21
27.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지역구분명
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
43 
주거지역
6 
일반주거지역
5 
전용주거지역
 
1

Length

Max length6
Median length4
Mean length4.2181818
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
78.2%
주거지역 6
 
10.9%
일반주거지역 5
 
9.1%
전용주거지역 1
 
1.8%

Length

2024-04-30T04:20:06.469842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:06.576568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
78.2%
주거지역 6
 
10.9%
일반주거지역 5
 
9.1%
전용주거지역 1
 
1.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)50.0%
Missing43
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean3.8333333
Minimum0
Maximum25
Zeros4
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:06.653069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34.25
95-th percentile14
Maximum25
Range25
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation6.926016
Coefficient of variation (CV)1.8067868
Kurtosis9.7784516
Mean3.8333333
Median Absolute Deviation (MAD)2
Skewness3.027358
Sum46
Variance47.969697
MonotonicityNot monotonic
2024-04-30T04:20:06.734726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
7.3%
2 3
 
5.5%
5 2
 
3.6%
4 1
 
1.8%
1 1
 
1.8%
25 1
 
1.8%
(Missing) 43
78.2%
ValueCountFrequency (%)
0 4
7.3%
1 1
 
1.8%
2 3
5.5%
4 1
 
1.8%
5 2
3.6%
25 1
 
1.8%
ValueCountFrequency (%)
25 1
 
1.8%
5 2
3.6%
4 1
 
1.8%
2 3
5.5%
1 1
 
1.8%
0 4
7.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing51
Missing (%)92.7%
Memory size572.0 B
2024-04-30T04:20:06.841175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters20
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row아파트지역
3rd row아파트지역
4th row주택가주변
ValueCountFrequency (%)
주택가주변 2
50.0%
아파트지역 2
50.0%
2024-04-30T04:20:07.060069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
20.0%
택 2
10.0%
가 2
10.0%
변 2
10.0%
아 2
10.0%
파 2
10.0%
트 2
10.0%
지 2
10.0%
역 2
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
20.0%
택 2
10.0%
가 2
10.0%
변 2
10.0%
아 2
10.0%
파 2
10.0%
트 2
10.0%
지 2
10.0%
역 2
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
20.0%
택 2
10.0%
가 2
10.0%
변 2
10.0%
아 2
10.0%
파 2
10.0%
트 2
10.0%
지 2
10.0%
역 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
20.0%
택 2
10.0%
가 2
10.0%
변 2
10.0%
아 2
10.0%
파 2
10.0%
트 2
10.0%
지 2
10.0%
역 2
10.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

건물용도명
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
39 
아파트
8 
단독주택
5 
다가구용 주택(공동주택적용)
 
2
다세대주택
 
1

Length

Max length15
Median length4
Mean length4.2727273
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
70.9%
아파트 8
 
14.5%
단독주택 5
 
9.1%
다가구용 주택(공동주택적용) 2
 
3.6%
다세대주택 1
 
1.8%

Length

2024-04-30T04:20:07.161116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:07.255571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
68.4%
아파트 8
 
14.0%
단독주택 5
 
8.8%
다가구용 2
 
3.5%
주택(공동주택적용 2
 
3.5%
다세대주택 1
 
1.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)53.8%
Missing42
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean7.5384615
Minimum0
Maximum25
Zeros2
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:07.349804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile25
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.234134
Coefficient of variation (CV)1.2249361
Kurtosis0.24534005
Mean7.5384615
Median Absolute Deviation (MAD)2
Skewness1.3796177
Sum98
Variance85.269231
MonotonicityNot monotonic
2024-04-30T04:20:07.437738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 3
 
5.5%
5 3
 
5.5%
0 2
 
3.6%
25 2
 
3.6%
3 1
 
1.8%
4 1
 
1.8%
20 1
 
1.8%
(Missing) 42
76.4%
ValueCountFrequency (%)
0 2
3.6%
2 3
5.5%
3 1
 
1.8%
4 1
 
1.8%
5 3
5.5%
20 1
 
1.8%
25 2
3.6%
ValueCountFrequency (%)
25 2
3.6%
20 1
 
1.8%
5 3
5.5%
4 1
 
1.8%
3 1
 
1.8%
2 3
5.5%
0 2
3.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
9 
1
 
1

Length

Max length4
Median length4
Mean length3.4545455
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
81.8%
0 9
 
16.4%
1 1
 
1.8%

Length

2024-04-30T04:20:07.539620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:07.637183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 9
 
16.4%
1 1
 
1.8%

객실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
42 
2
6 
1
 
3
3
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.2909091
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
76.4%
2 6
 
10.9%
1 3
 
5.5%
3 2
 
3.6%
4 1
 
1.8%
0 1
 
1.8%

Length

2024-04-30T04:20:07.724243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:07.810943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
76.4%
2 6
 
10.9%
1 3
 
5.5%
3 2
 
3.6%
4 1
 
1.8%
0 1
 
1.8%

건축연면적
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:07.934643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:08.017242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

영문상호명
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing46
Missing (%)83.6%
Memory size572.0 B
2024-04-30T04:20:08.142151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length13.333333
Min length6

Characters and Unicode

Total characters120
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowVERDI GUESTHOUSE
2nd rowKORY GUESTHOUSE
3rd rowJimmy House
4th rowUhbu's
5th rowCitron scent
ValueCountFrequency (%)
home 2
 
9.5%
house 2
 
9.5%
guesthouse 2
 
9.5%
into 1
 
4.8%
ja 1
 
4.8%
lim 1
 
4.8%
stay 1
 
4.8%
hills 1
 
4.8%
jangan 1
 
4.8%
dream 1
 
4.8%
Other values (8) 8
38.1%
2024-04-30T04:20:08.409884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.0%
s 7
 
5.8%
E 7
 
5.8%
e 7
 
5.8%
U 6
 
5.0%
H 6
 
5.0%
S 5
 
4.2%
O 5
 
4.2%
m 5
 
4.2%
o 5
 
4.2%
Other values (27) 55
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53
44.2%
Uppercase Letter 53
44.2%
Space Separator 12
 
10.0%
Other Punctuation 2
 
1.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 7
13.2%
U 6
11.3%
H 6
11.3%
S 5
9.4%
O 5
9.4%
T 3
 
5.7%
J 3
 
5.7%
R 3
 
5.7%
L 2
 
3.8%
G 2
 
3.8%
Other values (9) 11
20.8%
Lowercase Letter
ValueCountFrequency (%)
s 7
13.2%
e 7
13.2%
m 5
9.4%
o 5
9.4%
n 4
7.5%
a 4
7.5%
i 4
7.5%
t 3
 
5.7%
h 3
 
5.7%
u 3
 
5.7%
Other values (6) 8
15.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 106
88.3%
Common 14
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 7
 
6.6%
E 7
 
6.6%
e 7
 
6.6%
U 6
 
5.7%
H 6
 
5.7%
S 5
 
4.7%
O 5
 
4.7%
m 5
 
4.7%
o 5
 
4.7%
n 4
 
3.8%
Other values (25) 49
46.2%
Common
ValueCountFrequency (%)
12
85.7%
' 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
 
10.0%
s 7
 
5.8%
E 7
 
5.8%
e 7
 
5.8%
U 6
 
5.0%
H 6
 
5.0%
S 5
 
4.2%
O 5
 
4.2%
m 5
 
4.2%
o 5
 
4.2%
Other values (27) 55
45.8%

영문상호주소
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
46 
Guest House
5 
Foreign tourist city lodging business
 
2
Guest House
 
2

Length

Max length37
Median length4
Mean length6.1272727
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
83.6%
Guest House 5
 
9.1%
Foreign tourist city lodging business 2
 
3.6%
Guest House 2
 
3.6%

Length

2024-04-30T04:20:08.519420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:08.606321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
65.7%
guest 7
 
10.0%
house 7
 
10.0%
foreign 2
 
2.9%
tourist 2
 
2.9%
city 2
 
2.9%
lodging 2
 
2.9%
business 2
 
2.9%

선박총톤수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:08.699476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:08.786870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

선박척수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:08.884509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:08.980339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

무대면적
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:09.080591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:09.173187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

좌석수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:09.280107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:09.362454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:09.454469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:09.545143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

시설면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing34
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean92.362381
Minimum29.26
Maximum195.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:09.622186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.26
5-th percentile52.52
Q159.83
median84.92
Q3114.95
95-th percentile140.43
Maximum195.54
Range166.28
Interquartile range (IQR)55.12

Descriptive statistics

Standard deviation39.608534
Coefficient of variation (CV)0.42883838
Kurtosis0.73961116
Mean92.362381
Median Absolute Deviation (MAD)28.36
Skewness0.79554698
Sum1939.61
Variance1568.8359
MonotonicityNot monotonic
2024-04-30T04:20:09.718866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
98.61 1
 
1.8%
52.52 1
 
1.8%
53.06 1
 
1.8%
59.98 1
 
1.8%
114.96 1
 
1.8%
84.91 1
 
1.8%
140.43 1
 
1.8%
56.56 1
 
1.8%
67.91 1
 
1.8%
114.95 1
 
1.8%
Other values (11) 11
 
20.0%
(Missing) 34
61.8%
ValueCountFrequency (%)
29.26 1
1.8%
52.52 1
1.8%
53.06 1
1.8%
56.56 1
1.8%
58.08 1
1.8%
59.83 1
1.8%
59.98 1
1.8%
67.91 1
1.8%
84.8 1
1.8%
84.91 1
1.8%
ValueCountFrequency (%)
195.54 1
1.8%
140.43 1
1.8%
140.0 1
1.8%
136.6 1
1.8%
114.96 1
1.8%
114.95 1
1.8%
114.35 1
1.8%
105.6 1
1.8%
98.61 1
1.8%
86.74 1
1.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
0
10 

Length

Max length4
Median length4
Mean length3.4545455
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> 45
81.8%
0 10
 
18.2%

Length

2024-04-30T04:20:09.822315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:20:09.898484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
0 10
 
18.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)53.3%
Missing40
Missing (%)72.7%
Infinite0
Infinite (%)0.0%
Mean33600000
Minimum0
Maximum1.3 × 108
Zeros5
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:09.991918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q340000000
95-th percentile1.23 × 108
Maximum1.3 × 108
Range1.3 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation46038493
Coefficient of variation (CV)1.3701933
Kurtosis0.39583433
Mean33600000
Median Absolute Deviation (MAD)10000000
Skewness1.3276615
Sum5.04 × 108
Variance2.1195429 × 1015
MonotonicityNot monotonic
2024-04-30T04:20:10.090557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 5
 
9.1%
30000000 3
 
5.5%
2000000 2
 
3.6%
120000000 1
 
1.8%
10000000 1
 
1.8%
50000000 1
 
1.8%
100000000 1
 
1.8%
130000000 1
 
1.8%
(Missing) 40
72.7%
ValueCountFrequency (%)
0 5
9.1%
2000000 2
 
3.6%
10000000 1
 
1.8%
30000000 3
5.5%
50000000 1
 
1.8%
100000000 1
 
1.8%
120000000 1
 
1.8%
130000000 1
 
1.8%
ValueCountFrequency (%)
130000000 1
 
1.8%
120000000 1
 
1.8%
100000000 1
 
1.8%
50000000 1
 
1.8%
30000000 3
5.5%
10000000 1
 
1.8%
2000000 2
 
3.6%
0 5
9.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)71.4%
Missing34
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean92.47619
Minimum29
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-04-30T04:20:10.196713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile53
Q160
median85
Q3115
95-th percentile140
Maximum196
Range167
Interquartile range (IQR)55

Descriptive statistics

Standard deviation39.635362
Coefficient of variation (CV)0.42860072
Kurtosis0.77269678
Mean92.47619
Median Absolute Deviation (MAD)28
Skewness0.79787682
Sum1942
Variance1570.9619
MonotonicityNot monotonic
2024-04-30T04:20:10.294632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
85 3
 
5.5%
140 2
 
3.6%
60 2
 
3.6%
115 2
 
3.6%
53 2
 
3.6%
196 1
 
1.8%
99 1
 
1.8%
29 1
 
1.8%
137 1
 
1.8%
87 1
 
1.8%
Other values (5) 5
 
9.1%
(Missing) 34
61.8%
ValueCountFrequency (%)
29 1
 
1.8%
53 2
3.6%
57 1
 
1.8%
58 1
 
1.8%
60 2
3.6%
68 1
 
1.8%
85 3
5.5%
87 1
 
1.8%
99 1
 
1.8%
106 1
 
1.8%
ValueCountFrequency (%)
196 1
 
1.8%
140 2
3.6%
137 1
 
1.8%
115 2
3.6%
114 1
 
1.8%
106 1
 
1.8%
99 1
 
1.8%
87 1
 
1.8%
85 3
5.5%
68 1
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03050000CDFI22622120230000112023-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 222-35 1층서울특별시 동대문구 홍릉로8길 15, 1층 (청량리동)2484스테이 청량2024-01-08 18:47:15U2023-11-30 23:00:00.0<NA>203860.238826453569.317088<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13050000CDFI22622120230000082023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 92-126 3층서울특별시 동대문구 하정로 46, 3층 (신설동)2582메인스테이2024-01-08 18:46:15U2023-11-30 23:00:00.0<NA>202305.084917452537.580805<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000CDFI22622120230000062023-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 272-7 지층서울특별시 동대문구 왕산로19라길 49, 지층 (제기동)2576퍼플 게스트하우스2024-01-08 18:45:30U2023-11-30 23:00:00.0<NA>202852.576805453168.407157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFI22622120230000072023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 395 1층서울특별시 동대문구 홍릉로 62-9, 1층 (청량리동)2484소소담 스테이2024-01-08 18:45:49U2023-11-30 23:00:00.0<NA>203808.040962453738.863506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43050000CDFI22622120230000122023-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 30-18 4층서울특별시 동대문구 제기로38길 15, 4층 (청량리동)2488떡전 스테이2024-01-08 18:47:30U2023-11-30 23:00:00.0<NA>204385.497252453647.631814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFI22622120230000052023-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 294-358 401호서울특별시 동대문구 망우로18마길 4-22, 401호 (휘경동)2498위드유2024-01-08 18:45:12U2023-11-30 23:00:00.0<NA>205240.413312453653.225248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFI22622120230000032023-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 137-137 2층서울특별시 동대문구 제기로 7, 2층 (제기동)2473더 쉼 공간2024-01-08 18:43:16U2023-11-30 23:00:00.0<NA>202913.887832453820.680046<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73050000CDFI22622120220000022022-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 42-37 4층서울특별시 동대문구 경희대로1길 8-8, 4층 (회기동)2454산타아나스(Santa Anas)2023-09-12 15:57:32U2022-12-08 23:04:00.0<NA>204519.173923454412.484986<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFI22622120210000012021-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 558-113 지층 우측호서울특별시 동대문구 전농로27길 95-1, 지층 우측호 (전농동)2549위저드스튜디오2023-09-12 15:58:10U2022-12-08 23:04:00.0<NA>204496.71037452893.608429<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93050000CDFI22622120180000022018-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA>07088014008<NA><NA>서울특별시 동대문구 휘경동 183-154 2층서울특별시 동대문구 회기로29길 18, 2층 (휘경동)244424게스트하우스 경희대점2024-01-08 18:39:39U2023-11-30 23:00:00.0<NA>205067.481385454287.981473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
453050000CDFI226221201300000320130724<NA>3폐업3폐업20180321<NA><NA><NA><NA><NA>130-856서울특별시 동대문구 전농동 690번지 레미안크레시티 108동 801호서울특별시 동대문구 사가정로 65, 108동 801층 (전농동, 레미안크레시티)<NA>INTO DREAM HOUSE2018-03-22I2018-08-31 23:59:00.0<NA>204405.1774452666.6924외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트<NA><NA><NA><NA>INTO DREAM HOUSEGuest House<NA><NA><NA><NA><NA><NA><NA>84.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85
463050000CDFI226221201500000320150721<NA>3폐업3폐업20220225<NA><NA><NA>070-4151-1957<NA><NA>서울특별시 동대문구 장안동 329-2 장안 힐스테이트서울특별시 동대문구 장안벚꽃로1길 7, 1009동 601호 (장안동, 장안 힐스테이트)2521Jangan hills Home stay2022-02-25U2022-02-27 02:40:00.0<NA>206586.5724452632.6289외국인관광 도시민박업<NA>전용주거지역25아파트지역<NA><NA>아파트25020Jangan hills Home stayGuest House00<NA>00<NA>0114.95<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>115
473050000CDFI226221201500000420150728<NA>3폐업3폐업20230209<NA><NA><NA>6448-0074<NA><NA>서울특별시 동대문구 전농동 690 래미안 크레시티서울특별시 동대문구 사가정로 65, 103동 1005호 (전농동, 래미안 크레시티)2553Seven Stay2023-02-09U2023-02-11 02:40:00.0<NA>204405.1774452666.6924외국인관광 도시민박업<NA>일반주거지역0아파트지역<NA><NA>아파트0020<NA><NA>00<NA>00<NA>067.91<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>68
483050000CDFI226221201600000220160729<NA>3폐업3폐업20180706<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 183-154번지 2층서울특별시 동대문구 회기로29길 18, 2층 (휘경동)244424게스트하우스 청량리점2018-07-06I2018-08-31 23:59:00.0<NA>205067.4814454287.9815외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>다가구용 주택(공동주택적용)<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56.56<NA><NA><NA><NA><NA><NA><NA><NA>30000000<NA><NA><NA>57
493050000CDFI226221201200000320120531<NA>3폐업3폐업20210728<NA><NA><NA><NA><NA>130-719서울특별시 동대문구 장안동 336 현대홈타운 119동 105호서울특별시 동대문구 장안벚꽃로 107, 119동 1층 105호 (장안동, 현대홈타운)<NA>투게더2021-07-28U2021-07-30 02:40:00.0<NA>206521.4053451940.1191외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>140.43<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>140
503050000CDFI226221201200000420120813<NA>3폐업3폐업20191230<NA><NA><NA>2246-3468<NA><NA>서울특별시 동대문구 답십리동 998-0번지 101-603서울특별시 동대문구 황물로15길 25, 101동 603호 (답십리동, 두산위브아파트)2620SEOUL NORTH BNB2020-01-17U2020-01-19 02:40:00.0<NA>205027.5443451546.213외국인관광 도시민박업<NA>주거지역<NA><NA><NA><NA>아파트20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85
513050000CDFI226221201200000520120814<NA>3폐업3폐업20220323<NA><NA><NA>02-2217-3684<NA><NA>서울특별시 동대문구 휘경동 57 주공아파트서울특별시 동대문구 한천로 248, 103동 2305호 (휘경동, 주공아파트)2512Ko-Stay2022-03-23U2022-03-25 02:40:00.0<NA>206179.3846453411.7429외국인관광 도시민박업<NA>주거지역0<NA><NA><NA><NA>25130<NA><NA>00<NA>00<NA>0114.96<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>115
523050000CDFI226221201700000420171201<NA>3폐업3폐업20200728<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 581 일성트루엘아파트서울특별시 동대문구 천호대로83길 71-7, 102동 203호 (장안동, 일성트루엘아파트)2629일등호스트2020-08-21U2020-08-23 02:40:00.0<NA>205706.9293451447.9822외국인관광 도시민박업<NA>주거지역<NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>59.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60
533050000CDFI226221201600000320160425<NA>3폐업3폐업20190207<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 109-104번지서울특별시 동대문구 경희대로3길 71 (회기동)2454Nagne’s2019-02-07U2019-02-09 02:40:00.0<NA>204307.9037454617.1718외국인관광 도시민박업<NA>주거지역2<NA><NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53.06<NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA>53
543050000CDFI226221202200000320220519<NA>3폐업3폐업20230314<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 341-11 렉스빌서울특별시 동대문구 장한로26다길 54, 202호 (장안동, 렉스빌)2639임자하우스2023-03-14U2023-03-16 02:40:00.0<NA>206321.5019451906.0896외국인관광 도시민박업<NA>일반주거지역2<NA><NA><NA>다세대주택5010Lim Ja HouesForeign tourist city lodging business00<NA>00<NA>052.52<NA>0<NA><NA><NA><NA><NA><NA>130000000<NA><NA><NA>53