Overview

Dataset statistics

Number of variables60
Number of observations26
Missing cells983
Missing cells (%)63.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory531.1 B

Variable types

Categorical11
Text6
DateTime4
Unsupported36
Numeric3

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17049/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (65.1%)Imbalance
데이터갱신구분 is highly imbalanced (60.9%)Imbalance
시설면적 is highly imbalanced (65.1%)Imbalance
놀이시설수 is highly imbalanced (60.8%)Imbalance
시설규모 is highly imbalanced (65.1%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 12 (46.2%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 14 (53.8%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
문화사업자구분명 has 26 (100.0%) missing valuesMissing
지역구분명 has 26 (100.0%) missing valuesMissing
총층수 has 26 (100.0%) missing valuesMissing
주변환경명 has 26 (100.0%) missing valuesMissing
제작취급품목내용 has 26 (100.0%) missing valuesMissing
보험기관명 has 26 (100.0%) missing valuesMissing
건물용도명 has 26 (100.0%) missing valuesMissing
지상층수 has 26 (100.0%) missing valuesMissing
지하층수 has 26 (100.0%) missing valuesMissing
객실수 has 26 (100.0%) missing valuesMissing
건축연면적 has 26 (100.0%) missing valuesMissing
영문상호명 has 26 (100.0%) missing valuesMissing
영문상호주소 has 26 (100.0%) missing valuesMissing
선박총톤수 has 26 (100.0%) missing valuesMissing
선박척수 has 26 (100.0%) missing valuesMissing
선박제원 has 26 (100.0%) missing valuesMissing
무대면적 has 26 (100.0%) missing valuesMissing
좌석수 has 26 (100.0%) missing valuesMissing
기념품종류 has 26 (100.0%) missing valuesMissing
회의실별동시수용인원 has 26 (100.0%) missing valuesMissing
놀이기구수내역 has 21 (80.8%) missing valuesMissing
방송시설유무 has 26 (100.0%) missing valuesMissing
발전시설유무 has 26 (100.0%) missing valuesMissing
의무실유무 has 26 (100.0%) missing valuesMissing
안내소유무 has 26 (100.0%) missing valuesMissing
기획여행보험시작일자 has 26 (100.0%) missing valuesMissing
기획여행보험종료일자 has 26 (100.0%) missing valuesMissing
자본금 has 26 (100.0%) missing valuesMissing
보험시작일자 has 26 (100.0%) missing valuesMissing
보험종료일자 has 26 (100.0%) missing valuesMissing
부대시설내역 has 26 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
자본금 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 started2024-05-11 09:39:24.461726
Analysis finished2024-05-11 09:39:25.748620
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3070000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 26
100.0%

Length

2024-05-11T09:39:26.027532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:26.436926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:39:26.903096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters520
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowCDFI5272002015000001
2nd rowCDFI5272002015000002
3rd rowCDFI5272002015000003
4th rowCDFI5272002015000004
5th rowCDFI5272002015000005
ValueCountFrequency (%)
cdfi5272002015000001 1
 
3.8%
cdfi5272002015000002 1
 
3.8%
cdfi5272002023000002 1
 
3.8%
cdfi5272002023000001 1
 
3.8%
cdfi5272002022000003 1
 
3.8%
cdfi5272002022000002 1
 
3.8%
cdfi5272002022000001 1
 
3.8%
cdfi5272002021000001 1
 
3.8%
cdfi5272002019000002 1
 
3.8%
cdfi5272002019000001 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T09:39:27.978639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
40.0%
2 95
18.3%
5 33
 
6.3%
7 29
 
5.6%
1 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
I 26
 
5.0%
3 9
 
1.7%
Other values (4) 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
80.0%
Uppercase Letter 104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
50.0%
2 95
22.8%
5 33
 
7.9%
7 29
 
7.0%
1 28
 
6.7%
3 9
 
2.2%
8 5
 
1.2%
6 4
 
1.0%
4 3
 
0.7%
9 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
I 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Latin 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
50.0%
2 95
22.8%
5 33
 
7.9%
7 29
 
7.0%
1 28
 
6.7%
3 9
 
2.2%
8 5
 
1.2%
6 4
 
1.0%
4 3
 
0.7%
9 2
 
0.5%
Latin
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
I 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
40.0%
2 95
18.3%
5 33
 
6.3%
7 29
 
5.6%
1 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
I 26
 
5.0%
3 9
 
1.7%
Other values (4) 14
 
2.7%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2015-01-27 00:00:00
Maximum2023-05-08 00:00:00
2024-05-11T09:39:28.521625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:39:29.019640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
14 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
53.8%
1 12
46.2%

Length

2024-05-11T09:39:29.663257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:30.048610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
53.8%
1 12
46.2%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
14 
영업/정상
12 

Length

Max length5
Median length2
Mean length3.3846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
53.8%
영업/정상 12
46.2%

Length

2024-05-11T09:39:30.519200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:30.862099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
53.8%
영업/정상 12
46.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
14 
13
12 

Length

Max length2
Median length1
Mean length1.4615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
53.8%
13 12
46.2%

Length

2024-05-11T09:39:31.225407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:31.768025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
53.8%
13 12
46.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
14 
영업중
12 

Length

Max length3
Median length2
Mean length2.4615385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
53.8%
영업중 12
46.2%

Length

2024-05-11T09:39:32.170773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:32.490968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
53.8%
영업중 12
46.2%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)85.7%
Missing12
Missing (%)46.2%
Memory size340.0 B
Minimum2017-12-08 00:00:00
Maximum2023-08-31 00:00:00
2024-05-11T09:39:32.754743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:39:33.264598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing14
Missing (%)53.8%
Memory size340.0 B
2024-05-11T09:39:33.798917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.416667
Min length11

Characters and Unicode

Total characters137
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row02-941-2511
2nd row02-941-1070
3rd row02-917-1477
4th row02 742 8088
5th row02-913-7642
ValueCountFrequency (%)
02 3
 
15.0%
02-941-2511 1
 
5.0%
2002 1
 
5.0%
02-988-3389 1
 
5.0%
0077 1
 
5.0%
959 1
 
5.0%
5988 1
 
5.0%
924 1
 
5.0%
02-921-0708 1
 
5.0%
8887 1
 
5.0%
Other values (8) 8
40.0%
2024-05-11T09:39:34.926491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
19.0%
2 17
12.4%
- 16
11.7%
9 15
10.9%
7 14
10.2%
8 14
10.2%
1 11
8.0%
8
 
5.8%
4 6
 
4.4%
5 4
 
2.9%
Other values (2) 6
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113
82.5%
Dash Punctuation 16
 
11.7%
Space Separator 8
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
23.0%
2 17
15.0%
9 15
13.3%
7 14
12.4%
8 14
12.4%
1 11
9.7%
4 6
 
5.3%
5 4
 
3.5%
3 4
 
3.5%
6 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
19.0%
2 17
12.4%
- 16
11.7%
9 15
10.9%
7 14
10.2%
8 14
10.2%
1 11
8.0%
8
 
5.8%
4 6
 
4.4%
5 4
 
2.9%
Other values (2) 6
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
19.0%
2 17
12.4%
- 16
11.7%
9 15
10.9%
7 14
10.2%
8 14
10.2%
1 11
8.0%
8
 
5.8%
4 6
 
4.4%
5 4
 
2.9%
Other values (2) 6
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
136819
 
1
136130
 
1
136743
 
1

Length

Max length6
Median length4
Mean length4.2307692
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row136819
2nd row136130
3rd row136743
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
136819 1
 
3.8%
136130 1
 
3.8%
136743 1
 
3.8%

Length

2024-05-11T09:39:35.471834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:35.911493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
136819 1
 
3.8%
136130 1
 
3.8%
136743 1
 
3.8%

지번주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:39:36.455171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length24.461538
Min length18

Characters and Unicode

Total characters636
Distinct characters74
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)88.5%

Sample

1st row서울특별시 성북구 석관동 268-1
2nd row서울특별시 성북구 하월곡동 230번지
3rd row서울특별시 성북구 하월곡동 46-73번지 B1층
4th row서울특별시 성북구 하월곡동 230 5층 504호
5th row서울특별시 성북구 삼선동3가 115-1번지
ValueCountFrequency (%)
서울특별시 26
21.3%
성북구 26
21.3%
하월곡동 8
 
6.6%
정릉동 4
 
3.3%
46-73 3
 
2.5%
코업스타클래스 3
 
2.5%
석관동 3
 
2.5%
길음동 3
 
2.5%
2층 2
 
1.6%
종암동 2
 
1.6%
Other values (40) 42
34.4%
2024-05-11T09:39:37.496566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
16.7%
동 30
 
4.7%
서 26
 
4.1%
특 26
 
4.1%
별 26
 
4.1%
시 26
 
4.1%
성 26
 
4.1%
북 26
 
4.1%
구 26
 
4.1%
울 26
 
4.1%
Other values (64) 292
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
60.5%
Decimal Number 121
 
19.0%
Space Separator 106
 
16.7%
Dash Punctuation 23
 
3.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
7.8%
서 26
 
6.8%
특 26
 
6.8%
별 26
 
6.8%
시 26
 
6.8%
성 26
 
6.8%
북 26
 
6.8%
구 26
 
6.8%
울 26
 
6.8%
스 8
 
2.1%
Other values (51) 139
36.1%
Decimal Number
ValueCountFrequency (%)
1 25
20.7%
2 17
14.0%
3 14
11.6%
0 13
10.7%
7 11
9.1%
6 11
9.1%
4 9
 
7.4%
8 7
 
5.8%
9 7
 
5.8%
5 7
 
5.8%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
60.5%
Common 250
39.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
7.8%
서 26
 
6.8%
특 26
 
6.8%
별 26
 
6.8%
시 26
 
6.8%
성 26
 
6.8%
북 26
 
6.8%
구 26
 
6.8%
울 26
 
6.8%
스 8
 
2.1%
Other values (51) 139
36.1%
Common
ValueCountFrequency (%)
106
42.4%
1 25
 
10.0%
- 23
 
9.2%
2 17
 
6.8%
3 14
 
5.6%
0 13
 
5.2%
7 11
 
4.4%
6 11
 
4.4%
4 9
 
3.6%
8 7
 
2.8%
Other values (2) 14
 
5.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
60.5%
ASCII 251
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
42.2%
1 25
 
10.0%
- 23
 
9.2%
2 17
 
6.8%
3 14
 
5.6%
0 13
 
5.2%
7 11
 
4.4%
6 11
 
4.4%
4 9
 
3.6%
8 7
 
2.8%
Other values (3) 15
 
6.0%
Hangul
ValueCountFrequency (%)
동 30
 
7.8%
서 26
 
6.8%
특 26
 
6.8%
별 26
 
6.8%
시 26
 
6.8%
성 26
 
6.8%
북 26
 
6.8%
구 26
 
6.8%
울 26
 
6.8%
스 8
 
2.1%
Other values (51) 139
36.1%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:39:38.259514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length34.423077
Min length27

Characters and Unicode

Total characters895
Distinct characters109
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 돌곶이로18길 4, 2층 (석관동)
2nd row서울특별시 성북구 종암로 167, 지하1층 (하월곡동, 동일하이빌뉴시티)
3rd row서울특별시 성북구 화랑로 76, B1층 (하월곡동, 홈플러스월곡점)
4th row서울특별시 성북구 종암로 167 (하월곡동, 동일하이빌뉴시티)
5th row서울특별시 성북구 보문로29다길 7 (삼선동3가, 삼선푸르지오)
ValueCountFrequency (%)
서울특별시 26
 
14.8%
성북구 26
 
14.8%
하월곡동 8
 
4.5%
2층 5
 
2.8%
화랑로 5
 
2.8%
76 5
 
2.8%
정릉동 4
 
2.3%
석관동 3
 
1.7%
종암로 3
 
1.7%
3층 3
 
1.7%
Other values (71) 88
50.0%
2024-05-11T09:39:39.267234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
16.8%
, 34
 
3.8%
동 33
 
3.7%
시 28
 
3.1%
북 28
 
3.1%
성 27
 
3.0%
로 26
 
2.9%
) 26
 
2.9%
( 26
 
2.9%
서 26
 
2.9%
Other values (99) 491
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
60.3%
Space Separator 150
 
16.8%
Decimal Number 114
 
12.7%
Other Punctuation 34
 
3.8%
Close Punctuation 26
 
2.9%
Open Punctuation 26
 
2.9%
Uppercase Letter 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
 
6.1%
시 28
 
5.2%
북 28
 
5.2%
성 27
 
5.0%
로 26
 
4.8%
서 26
 
4.8%
울 26
 
4.8%
특 26
 
4.8%
별 26
 
4.8%
구 26
 
4.8%
Other values (81) 268
49.6%
Decimal Number
ValueCountFrequency (%)
2 24
21.1%
1 21
18.4%
5 13
11.4%
7 12
10.5%
6 11
9.6%
3 10
8.8%
4 8
 
7.0%
0 7
 
6.1%
8 5
 
4.4%
9 3
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
Y 1
20.0%
M 1
20.0%
X 1
20.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
60.3%
Common 350
39.1%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
 
6.1%
시 28
 
5.2%
북 28
 
5.2%
성 27
 
5.0%
로 26
 
4.8%
서 26
 
4.8%
울 26
 
4.8%
특 26
 
4.8%
별 26
 
4.8%
구 26
 
4.8%
Other values (81) 268
49.6%
Common
ValueCountFrequency (%)
150
42.9%
, 34
 
9.7%
) 26
 
7.4%
( 26
 
7.4%
2 24
 
6.9%
1 21
 
6.0%
5 13
 
3.7%
7 12
 
3.4%
6 11
 
3.1%
3 10
 
2.9%
Other values (4) 23
 
6.6%
Latin
ValueCountFrequency (%)
B 2
40.0%
Y 1
20.0%
M 1
20.0%
X 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
60.3%
ASCII 355
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.3%
, 34
 
9.6%
) 26
 
7.3%
( 26
 
7.3%
2 24
 
6.8%
1 21
 
5.9%
5 13
 
3.7%
7 12
 
3.4%
6 11
 
3.1%
3 10
 
2.8%
Other values (8) 28
 
7.9%
Hangul
ValueCountFrequency (%)
동 33
 
6.1%
시 28
 
5.2%
북 28
 
5.2%
성 27
 
5.0%
로 26
 
4.8%
서 26
 
4.8%
울 26
 
4.8%
특 26
 
4.8%
별 26
 
4.8%
구 26
 
4.8%
Other values (81) 268
49.6%

도로명우편번호
Real number (ℝ)

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.5769
Minimum2712
Maximum2869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:39:39.746437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2712
5-th percentile2715.75
Q12735.75
median2769.5
Q32803
95-th percentile2830.75
Maximum2869
Range157
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation43.501883
Coefficient of variation (CV)0.015684398
Kurtosis-0.93022922
Mean2773.5769
Median Absolute Deviation (MAD)34.5
Skewness0.32070158
Sum72113
Variance1892.4138
MonotonicityNot monotonic
2024-05-11T09:39:40.131443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2751 3
 
11.5%
2741 2
 
7.7%
2803 2
 
7.7%
2734 2
 
7.7%
2787 2
 
7.7%
2816 1
 
3.8%
2755 1
 
3.8%
2830 1
 
3.8%
2818 1
 
3.8%
2730 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
2712 1
 
3.8%
2715 1
 
3.8%
2718 1
 
3.8%
2726 1
 
3.8%
2730 1
 
3.8%
2734 2
7.7%
2741 2
7.7%
2751 3
11.5%
2755 1
 
3.8%
2784 1
 
3.8%
ValueCountFrequency (%)
2869 1
3.8%
2831 1
3.8%
2830 1
3.8%
2826 1
3.8%
2818 1
3.8%
2816 1
3.8%
2803 2
7.7%
2801 1
3.8%
2799 1
3.8%
2787 2
7.7%

사업장명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:39:40.628960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11.5
Mean length8.5
Min length3

Characters and Unicode

Total characters221
Distinct characters83
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row토마토 키즈카페
2nd row(주)오콘 디보빌리지 하월곡점
3rd row플레이타임 월곡점
4th row도토리키즈월드
5th row점핑스타 한성대점
ValueCountFrequency (%)
브릭스 2
 
4.8%
노리파크 2
 
4.8%
길음점 2
 
4.8%
키즈카페 2
 
4.8%
마마지트 2
 
4.8%
주)오콘 1
 
2.4%
꼬마빌리지 1
 
2.4%
스카이방방(석관점 1
 
2.4%
테라스 1
 
2.4%
대표남편 1
 
2.4%
Other values (27) 27
64.3%
2024-05-11T09:39:41.897124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
7.2%
점 15
 
6.8%
( 10
 
4.5%
방 10
 
4.5%
) 10
 
4.5%
스 9
 
4.1%
리 8
 
3.6%
키 7
 
3.2%
마 6
 
2.7%
즈 5
 
2.3%
Other values (73) 125
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
80.5%
Space Separator 16
 
7.2%
Open Punctuation 10
 
4.5%
Close Punctuation 10
 
4.5%
Lowercase Letter 5
 
2.3%
Other Punctuation 1
 
0.5%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 15
 
8.4%
방 10
 
5.6%
스 9
 
5.1%
리 8
 
4.5%
키 7
 
3.9%
마 6
 
3.4%
즈 5
 
2.8%
이 5
 
2.8%
타 4
 
2.2%
카 4
 
2.2%
Other values (64) 105
59.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
i 1
20.0%
l 1
20.0%
c 1
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
80.5%
Common 37
 
16.7%
Latin 6
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 15
 
8.4%
방 10
 
5.6%
스 9
 
5.1%
리 8
 
4.5%
키 7
 
3.9%
마 6
 
3.4%
즈 5
 
2.8%
이 5
 
2.8%
타 4
 
2.2%
카 4
 
2.2%
Other values (64) 105
59.0%
Latin
ValueCountFrequency (%)
e 2
33.3%
L 1
16.7%
i 1
16.7%
l 1
16.7%
c 1
16.7%
Common
ValueCountFrequency (%)
16
43.2%
( 10
27.0%
) 10
27.0%
: 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
80.5%
ASCII 43
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
37.2%
( 10
23.3%
) 10
23.3%
e 2
 
4.7%
: 1
 
2.3%
L 1
 
2.3%
i 1
 
2.3%
l 1
 
2.3%
c 1
 
2.3%
Hangul
ValueCountFrequency (%)
점 15
 
8.4%
방 10
 
5.6%
스 9
 
5.1%
리 8
 
4.5%
키 7
 
3.9%
마 6
 
3.4%
즈 5
 
2.8%
이 5
 
2.8%
타 4
 
2.2%
카 4
 
2.2%
Other values (64) 105
59.0%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-01-11 11:11:47
Maximum2024-04-01 16:25:08
2024-05-11T09:39:42.302106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:39:42.726912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
24 
I
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
92.3%
I 2
 
7.7%

Length

2024-05-11T09:39:43.179612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:43.551189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
92.3%
i 2
 
7.7%

데이터갱신일자
Date

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T09:39:43.965974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:39:44.436007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202615.25
Minimum200754.37
Maximum205167.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:39:44.861435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200754.37
5-th percentile200871.59
Q1201457.56
median202667.47
Q3203502
95-th percentile205109.19
Maximum205167.03
Range4412.6551
Interquartile range (IQR)2044.4422

Descriptive statistics

Standard deviation1326.2936
Coefficient of variation (CV)0.0065458725
Kurtosis-0.61896135
Mean202615.25
Median Absolute Deviation (MAD)940.3362
Skewness0.40778655
Sum5267996.5
Variance1759054.7
MonotonicityNot monotonic
2024-05-11T09:39:45.299377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
203502.004139568 4
 
15.4%
203069.087934788 2
 
7.7%
202667.468802014 2
 
7.7%
205167.02650102 1
 
3.8%
201578.22049708 1
 
3.8%
204065.386960063 1
 
3.8%
201133.498303104 1
 
3.8%
205159.455380776 1
 
3.8%
201417.342430389 1
 
3.8%
202374.120256587 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
200754.371445868 1
3.8%
200841.726990037 1
3.8%
200961.190279625 1
3.8%
201109.468313411 1
3.8%
201133.498303104 1
3.8%
201214.590518709 1
3.8%
201417.342430389 1
3.8%
201578.22049708 1
3.8%
201621.331749529 1
3.8%
201984.045132739 1
3.8%
ValueCountFrequency (%)
205167.02650102 1
 
3.8%
205159.455380776 1
 
3.8%
204958.405518224 1
 
3.8%
204065.386960063 1
 
3.8%
203502.004139568 4
15.4%
203069.087934788 2
7.7%
202894.062843395 1
 
3.8%
202768.970323656 1
 
3.8%
202667.468802014 2
7.7%
202512.154016259 1
 
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455767.93
Minimum453695.24
Maximum457195.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:39:45.840662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453695.24
5-th percentile454511.68
Q1455471.77
median455775.87
Q3456299.64
95-th percentile457020.65
Maximum457195.35
Range3500.109
Interquartile range (IQR)827.87315

Descriptive statistics

Standard deviation787.25936
Coefficient of variation (CV)0.0017273251
Kurtosis0.91425296
Mean455767.93
Median Absolute Deviation (MAD)465.76404
Skewness-0.49096219
Sum11849966
Variance619777.31
MonotonicityNot monotonic
2024-05-11T09:39:46.385403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
455500.568972657 4
 
15.4%
456567.33684691 2
 
7.7%
455858.920803881 2
 
7.7%
456308.765626762 1
 
3.8%
455535.480175617 1
 
3.8%
457171.757965707 1
 
3.8%
454441.740198059 1
 
3.8%
456236.280690439 1
 
3.8%
455304.75260053 1
 
3.8%
456048.324973915 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
453695.242167244 1
 
3.8%
454441.740198059 1
 
3.8%
454721.505180141 1
 
3.8%
455007.250898401 1
 
3.8%
455304.75260053 1
 
3.8%
455341.28085333 1
 
3.8%
455462.165655746 1
 
3.8%
455500.568972657 4
15.4%
455535.480175617 1
 
3.8%
455692.818870367 1
 
3.8%
ValueCountFrequency (%)
457195.351141049 1
3.8%
457171.757965707 1
3.8%
456567.33684691 2
7.7%
456443.387226032 1
3.8%
456320.649004404 1
3.8%
456308.765626762 1
3.8%
456272.261670237 1
3.8%
456236.280690439 1
3.8%
456048.324973915 1
3.8%
455912.257622603 1
3.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
15 
신고유원시설업
11 

Length

Max length7
Median length4
Mean length5.2692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
57.7%
신고유원시설업 11
42.3%

Length

2024-05-11T09:39:47.010951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:47.427535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
57.7%
신고유원시설업 11
42.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
299.0
 
1
272.6
 
1
158.84
 
1

Length

Max length6
Median length4
Mean length4.1538462
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row<NA>
2nd row299.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
299.0 1
 
3.8%
272.6 1
 
3.8%
158.84 1
 
3.8%

Length

2024-05-11T09:39:47.982673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:48.469850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
299.0 1
 
3.8%
272.6 1
 
3.8%
158.84 1
 
3.8%

놀이기구수내역
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-05-11T09:39:48.967432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length14.8
Min length7

Characters and Unicode

Total characters74
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row플레이시스페이스(볼풀장)
2nd row트램블린 2대
3rd row트림블린(6인, 7인,9인,18인) 각1대
4th row트램블린(5인)3대, 트램블린(13인)1대
5th row 허병삼 과장님
ValueCountFrequency (%)
플레이시스페이스(볼풀장 1
10.0%
트램블린 1
10.0%
2대 1
10.0%
트림블린(6인 1
10.0%
7인,9인,18인 1
10.0%
각1대 1
10.0%
트램블린(5인)3대 1
10.0%
트램블린(13인)1대 1
10.0%
허병삼 1
10.0%
과장님 1
10.0%
2024-05-11T09:39:49.885230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 6
 
8.1%
6
 
8.1%
대 4
 
5.4%
) 4
 
5.4%
, 4
 
5.4%
린 4
 
5.4%
블 4
 
5.4%
트 4
 
5.4%
( 4
 
5.4%
1 4
 
5.4%
Other values (24) 30
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
59.5%
Decimal Number 12
 
16.2%
Space Separator 6
 
8.1%
Close Punctuation 4
 
5.4%
Other Punctuation 4
 
5.4%
Open Punctuation 4
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 6
13.6%
대 4
 
9.1%
린 4
 
9.1%
블 4
 
9.1%
트 4
 
9.1%
램 3
 
6.8%
장 2
 
4.5%
스 2
 
4.5%
이 2
 
4.5%
허 1
 
2.3%
Other values (12) 12
27.3%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
9 1
 
8.3%
5 1
 
8.3%
8 1
 
8.3%
7 1
 
8.3%
6 1
 
8.3%
2 1
 
8.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
59.5%
Common 30
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 6
13.6%
대 4
 
9.1%
린 4
 
9.1%
블 4
 
9.1%
트 4
 
9.1%
램 3
 
6.8%
장 2
 
4.5%
스 2
 
4.5%
이 2
 
4.5%
허 1
 
2.3%
Other values (12) 12
27.3%
Common
ValueCountFrequency (%)
6
20.0%
) 4
13.3%
, 4
13.3%
( 4
13.3%
1 4
13.3%
3 2
 
6.7%
9 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
59.5%
ASCII 30
40.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 6
13.6%
대 4
 
9.1%
린 4
 
9.1%
블 4
 
9.1%
트 4
 
9.1%
램 3
 
6.8%
장 2
 
4.5%
스 2
 
4.5%
이 2
 
4.5%
허 1
 
2.3%
Other values (12) 12
27.3%
ASCII
ValueCountFrequency (%)
6
20.0%
) 4
13.3%
, 4
13.3%
( 4
13.3%
1 4
13.3%
3 2
 
6.7%
9 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
Other values (2) 2
 
6.7%

놀이시설수
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
1 2
 
7.7%
2 1
 
3.8%

Length

2024-05-11T09:39:50.278447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:50.629849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
1 2
 
7.7%
2 1
 
3.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

시설규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
299
 
1
273
 
1
159
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length3

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row<NA>
2nd row299
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
299 1
 
3.8%
273 1
 
3.8%
159 1
 
3.8%

Length

2024-05-11T09:39:51.010782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:51.341101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
299 1
 
3.8%
273 1
 
3.8%
159 1
 
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03070000CDFI527200201500000120150127<NA>3폐업3폐업20220329<NA><NA><NA><NA><NA>136819서울특별시 성북구 석관동 268-1서울특별시 성북구 돌곶이로18길 4, 2층 (석관동)2784토마토 키즈카페2022-03-29 16:15:55U2021-12-02 21:01:00.0<NA>205167.026501456308.765627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFI527200201500000220150624<NA>3폐업3폐업20190404<NA><NA><NA>02-941-2511<NA>136130서울특별시 성북구 하월곡동 230번지서울특별시 성북구 종암로 167, 지하1층 (하월곡동, 동일하이빌뉴시티)2734(주)오콘 디보빌리지 하월곡점2019-04-04 17:00:23U2019-04-06 02:40:00.0<NA>202667.468802455858.920804신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>299.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>299
23070000CDFI527200201500000320150626<NA>3폐업3폐업20171208<NA><NA><NA>02-941-1070<NA>136743서울특별시 성북구 하월곡동 46-73번지 B1층서울특별시 성북구 화랑로 76, B1층 (하월곡동, 홈플러스월곡점)2799플레이타임 월곡점2018-01-11 11:11:47I2018-08-31 23:59:59.0<NA>203502.00414455500.568973신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>플레이시스페이스(볼풀장)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000CDFI52720020150000042015-11-04<NA>3폐업3폐업2023-04-10<NA><NA><NA>02-917-1477<NA><NA>서울특별시 성북구 하월곡동 230 5층 504호서울특별시 성북구 종암로 167 (하월곡동, 동일하이빌뉴시티)2734도토리키즈월드2023-04-13 11:36:25U2022-12-03 23:05:00.0<NA>202667.468802455858.920804<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFI527200201500000520151105<NA>3폐업3폐업20200414<NA><NA><NA>02 742 8088<NA><NA>서울특별시 성북구 삼선동3가 115-1번지서울특별시 성북구 보문로29다길 7 (삼선동3가, 삼선푸르지오)2869점핑스타 한성대점2020-04-21 17:42:23U2020-04-23 02:40:00.0<NA>201109.468313453695.242167신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>트램블린 2대2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFI527200201600000120160106<NA>3폐업3폐업20200210<NA><NA><NA>02-913-7642<NA><NA>서울특별시 성북구 정릉동 414-10서울특별시 성북구 보국문로 10, 6층 (정릉동, 부광빌딩)2718점핑스타(정릉점)2020-08-31 14:15:02U2020-09-02 02:40:00.0<NA>200961.19028455912.257623신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>트림블린(6인, 7인,9인,18인) 각1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFI527200201600000220160107<NA>3폐업3폐업20190717<NA><NA><NA>02-989-0079<NA><NA>서울특별시 성북구 길음동 1139-101번지서울특별시 성북구 삼양로 68, 101호 (길음동)2726점핑스타(길음점)2019-07-17 17:16:17U2019-07-19 02:40:00.0<NA>201984.045133456320.649004신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>트램블린(5인)3대, 트램블린(13인)1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFI52720020160000032016-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA>070 8887 2002<NA><NA>서울특별시 성북구 돈암동 609-1서울특별시 성북구 성북로4길 52, 7층 (돈암동, 한신아파트)2831스카이방방존(돈암)2024-04-01 16:24:19U2023-12-04 00:03:00.0<NA>200841.72699454721.50518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFI527200201600000420161026<NA>3폐업3폐업20180709<NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 2-2서울특별시 성북구 정릉로52길 22, 301,302호 (돈암동, 신우프라자)2801르씨엘(Le ciel)2020-10-19 16:11:56U2020-10-21 02:40:00.0<NA>202512.154016455692.81887신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFI527200201700000120170421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-921-0708<NA><NA>서울특별시 성북구 동소문동7가 109서울특별시 성북구 아리랑로 53, 2층 (동소문동7가)2826노리파크 성신여대역점2021-02-10 09:45:33U2021-02-12 02:40:00.0<NA>201214.590519455007.250898신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>272.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>273
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
163070000CDFI527200201800000520181030<NA>3폐업3폐업20200402<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 239-1번지 정릉풍림아이원 상가2동 202호서울특별시 성북구 솔샘로 116, 정릉풍림아이원 상가2동 202호 (정릉동)2712써니키즈 키즈카페2020-04-02 15:59:45U2020-04-04 02:40:00.0<NA>200754.371446457195.351141신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>허병삼 과장님1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173070000CDFI527200201900000120190731<NA>3폐업3폐업20191112<NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 79-107번지 에스엠메디칼서울특별시 성북구 월계로 52, 에스엠메디칼 5층 502,503호 (하월곡동)2741마마지트2019-11-13 13:57:22U2019-11-15 02:40:00.0<NA>203069.087935456567.336847신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183070000CDFI527200201900000220191028<NA>3폐업3폐업20201019<NA><NA><NA>02-988-3389<NA><NA>서울특별시 성북구 길음동 518-13 선일빌딩서울특별시 성북구 동소문로 295, 선일빌딩 4층 (길음동)2730릴리펏 길음점2020-10-19 16:12:32U2020-10-21 02:40:00.0<NA>202374.120257456048.324974신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193070000CDFI52720020210000012021-07-01<NA>3폐업3폐업2023-04-10<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 120-8서울특별시 성북구 북악산로 829, 2층 (정릉동)2818키즈 인 더 테라스2023-04-13 11:33:33U2022-12-03 23:05:00.0<NA>201417.34243455304.752601<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203070000CDFI527200202200000120220214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 268-3서울특별시 성북구 돌곶이로 51, 3층 (석관동)2787스카이방방(석관점)2022-08-30 15:51:58U2021-12-09 00:01:00.0<NA>205159.455381456236.28069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213070000CDFI52720020220000022022-03-15<NA>3폐업3폐업2023-04-10<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동6가 5-1서울특별시 성북구 동소문로 75, 풍양빌딩 3층 (동소문동6가)2830마마지트2023-04-13 11:34:44U2022-12-03 23:05:00.0<NA>201133.498303454441.740198<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223070000CDFI52720020220000032022-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 79-107 에스엠메디칼서울특별시 성북구 월계로 52, 에스엠메디칼 5층 (하월곡동)2741꼬마빌리지2023-06-26 15:49:08U2022-12-05 22:08:00.0<NA>203069.087935456567.336847<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233070000CDFI52720020230000012023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 46-73 코업스타클래스서울특별시 성북구 화랑로 76, 코업스타클래스 (하월곡동)2751브릭스2023-06-26 15:45:54U2022-12-05 22:08:00.0<NA>203502.00414455500.568973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243070000CDFI52720020230000022023-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 46-73 코업스타클래스서울특별시 성북구 화랑로 76, 코업스타클래스 지층 (하월곡동)2751브릭스2023-03-23 16:41:53I2022-12-02 22:05:00.0<NA>203502.00414455500.568973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253070000CDFI52720020230000032023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1389-7016<NA><NA>서울특별시 성북구 장위동 234-20 2층서울특별시 성북구 장위로21다길 76, 2층 (장위동)2755무키무키2023-09-12 15:55:42U2022-12-08 23:04:00.0<NA>204065.38696457171.757966<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>