Overview

Dataset statistics

Number of variables60
Number of observations75
Missing cells1782
Missing cells (%)39.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.8 KiB
Average record size in memory516.8 B

Variable types

Numeric6
Categorical23
DateTime6
Unsupported14
Text7
Boolean4

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16030/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (87.1%)Imbalance
문화사업자구분명 is highly imbalanced (75.8%)Imbalance
지역구분명 is highly imbalanced (51.0%)Imbalance
총층수 is highly imbalanced (65.4%)Imbalance
주변환경명 is highly imbalanced (66.7%)Imbalance
지상층수 is highly imbalanced (66.2%)Imbalance
지하층수 is highly imbalanced (65.4%)Imbalance
객실수 is highly imbalanced (55.3%)Imbalance
건축연면적 is highly imbalanced (55.3%)Imbalance
선박총톤수 is highly imbalanced (55.3%)Imbalance
선박척수 is highly imbalanced (55.3%)Imbalance
무대면적 is highly imbalanced (55.3%)Imbalance
좌석수 is highly imbalanced (55.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (55.3%)Imbalance
놀이시설수 is highly imbalanced (68.3%)Imbalance
방송시설유무 is highly imbalanced (54.1%)Imbalance
안내소유무 is highly imbalanced (55.1%)Imbalance
자본금 is highly imbalanced (55.3%)Imbalance
폐업일자 has 28 (37.3%) missing valuesMissing
휴업시작일자 has 72 (96.0%) missing valuesMissing
휴업종료일자 has 72 (96.0%) missing valuesMissing
재개업일자 has 75 (100.0%) missing valuesMissing
전화번호 has 41 (54.7%) missing valuesMissing
소재지면적 has 75 (100.0%) missing valuesMissing
소재지우편번호 has 45 (60.0%) missing valuesMissing
도로명주소 has 26 (34.7%) missing valuesMissing
도로명우편번호 has 29 (38.7%) missing valuesMissing
업태구분명 has 75 (100.0%) missing valuesMissing
제작취급품목내용 has 75 (100.0%) missing valuesMissing
보험기관명 has 75 (100.0%) missing valuesMissing
건물용도명 has 69 (92.0%) missing valuesMissing
영문상호명 has 75 (100.0%) missing valuesMissing
영문상호주소 has 75 (100.0%) missing valuesMissing
선박제원 has 75 (100.0%) missing valuesMissing
기념품종류 has 75 (100.0%) missing valuesMissing
시설면적 has 60 (80.0%) missing valuesMissing
놀이기구수내역 has 39 (52.0%) missing valuesMissing
방송시설유무 has 44 (58.7%) missing valuesMissing
발전시설유무 has 53 (70.7%) missing valuesMissing
의무실유무 has 51 (68.0%) missing valuesMissing
안내소유무 has 43 (57.3%) missing valuesMissing
기획여행보험시작일자 has 75 (100.0%) missing valuesMissing
기획여행보험종료일자 has 75 (100.0%) missing valuesMissing
보험시작일자 has 75 (100.0%) missing valuesMissing
보험종료일자 has 75 (100.0%) missing valuesMissing
부대시설내역 has 75 (100.0%) missing valuesMissing
시설규모 has 60 (80.0%) missing valuesMissing
최종수정일자 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 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
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
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
시설면적 has 5 (6.7%) zerosZeros
시설규모 has 5 (6.7%) zerosZeros

Reproduction

Analysis started2024-04-17 21:25:44.702329
Analysis finished2024-04-17 21:25:45.326942
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct22
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3109333.3
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:45.373538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13040000
median3090000
Q33170000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation75861.419
Coefficient of variation (CV)0.024397969
Kurtosis-1.2486924
Mean3109333.3
Median Absolute Deviation (MAD)50000
Skewness0.35263596
Sum2.332 × 108
Variance5.754955 × 109
MonotonicityNot monotonic
2024-04-18T06:25:45.467897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3040000 13
17.3%
3230000 9
12.0%
3160000 6
 
8.0%
3010000 6
 
8.0%
3070000 6
 
8.0%
3120000 5
 
6.7%
3210000 4
 
5.3%
3090000 4
 
5.3%
3180000 3
 
4.0%
3020000 3
 
4.0%
Other values (12) 16
21.3%
ValueCountFrequency (%)
3000000 1
 
1.3%
3010000 6
8.0%
3020000 3
 
4.0%
3030000 1
 
1.3%
3040000 13
17.3%
3050000 1
 
1.3%
3060000 2
 
2.7%
3070000 6
8.0%
3080000 1
 
1.3%
3090000 4
 
5.3%
ValueCountFrequency (%)
3240000 1
 
1.3%
3230000 9
12.0%
3220000 1
 
1.3%
3210000 4
5.3%
3200000 1
 
1.3%
3180000 3
 
4.0%
3160000 6
8.0%
3140000 1
 
1.3%
3130000 2
 
2.7%
3120000 5
6.7%

관리번호
Categorical

Distinct32
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
CDFI5271002012000001
6 
CDFI5271002019000001
6 
CDFI5271002016000001
5 
CDFI5271002023000001
5 
CDFI5271002017000001
5 
Other values (27)
48 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique16 ?
Unique (%)21.3%

Sample

1st rowCDFI5271002022000001
2nd rowCDFI5271002022000002
3rd rowCDFI5271002009000001
4th rowCDFI5271002023000001
5th rowCDFI5271002009000002

Common Values

ValueCountFrequency (%)
CDFI5271002012000001 6
 
8.0%
CDFI5271002019000001 6
 
8.0%
CDFI5271002016000001 5
 
6.7%
CDFI5271002023000001 5
 
6.7%
CDFI5271002017000001 5
 
6.7%
CDFI5271002015000001 4
 
5.3%
CDFI5271002013000001 4
 
5.3%
CDFI5271002018000001 4
 
5.3%
CDFI5271002014000001 4
 
5.3%
CDFI5271002022000001 3
 
4.0%
Other values (22) 29
38.7%

Length

2024-04-18T06:25:45.565633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5271002012000001 6
 
8.0%
cdfi5271002019000001 6
 
8.0%
cdfi5271002016000001 5
 
6.7%
cdfi5271002023000001 5
 
6.7%
cdfi5271002017000001 5
 
6.7%
cdfi5271002015000001 4
 
5.3%
cdfi5271002013000001 4
 
5.3%
cdfi5271002018000001 4
 
5.3%
cdfi5271002014000001 4
 
5.3%
cdfi5271002022000001 3
 
4.0%
Other values (22) 29
38.7%

인허가일자
Date

Distinct72
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum1974-11-20 00:00:00
Maximum2024-02-19 00:00:00
2024-04-18T06:25:45.654866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:45.761620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
73 
20201216
 
1
20180418
 
1

Length

Max length8
Median length4
Mean length4.1066667
Min length4

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
97.3%
20201216 1
 
1.3%
20180418 1
 
1.3%

Length

2024-04-18T06:25:45.901342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:46.000833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
97.3%
20201216 1
 
1.3%
20180418 1
 
1.3%

영업상태코드
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
3
55 
1
13 
4
 
4
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 55
73.3%
1 13
 
17.3%
4 4
 
5.3%
2 3
 
4.0%

Length

2024-04-18T06:25:46.098352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:46.201337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 55
73.3%
1 13
 
17.3%
4 4
 
5.3%
2 3
 
4.0%

영업상태명
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
폐업
55 
영업/정상
13 
취소/말소/만료/정지/중지
 
4
휴업
 
3

Length

Max length14
Median length2
Mean length3.16
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
73.3%
영업/정상 13
 
17.3%
취소/말소/만료/정지/중지 4
 
5.3%
휴업 3
 
4.0%

Length

2024-04-18T06:25:46.294480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:46.381535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
73.3%
영업/정상 13
 
17.3%
취소/말소/만료/정지/중지 4
 
5.3%
휴업 3
 
4.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
3
54 
13
13 
30
 
4
2
 
3
34
 
1

Length

Max length2
Median length1
Mean length1.24
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 54
72.0%
13 13
 
17.3%
30 4
 
5.3%
2 3
 
4.0%
34 1
 
1.3%

Length

2024-04-18T06:25:46.483833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:46.573375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
72.0%
13 13
 
17.3%
30 4
 
5.3%
2 3
 
4.0%
34 1
 
1.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
폐업
54 
영업중
13 
허가취소
 
4
휴업
 
3
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.32
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
72.0%
영업중 13
 
17.3%
허가취소 4
 
5.3%
휴업 3
 
4.0%
영업장폐쇄 1
 
1.3%

Length

2024-04-18T06:25:46.668378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:46.762236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
72.0%
영업중 13
 
17.3%
허가취소 4
 
5.3%
휴업 3
 
4.0%
영업장폐쇄 1
 
1.3%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)95.7%
Missing28
Missing (%)37.3%
Memory size732.0 B
Minimum2004-02-19 00:00:00
Maximum2024-02-18 00:00:00
2024-04-18T06:25:46.856886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:46.955566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing72
Missing (%)96.0%
Memory size732.0 B
Minimum2023-01-01 00:00:00
Maximum2024-04-05 00:00:00
2024-04-18T06:25:47.058220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:47.143963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing72
Missing (%)96.0%
Memory size732.0 B
Minimum2024-06-02 00:00:00
Maximum2024-12-31 00:00:00
2024-04-18T06:25:47.224376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:47.303638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)82.4%
Missing41
Missing (%)54.7%
Memory size732.0 B
2024-04-18T06:25:47.453819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.676471
Min length8

Characters and Unicode

Total characters363
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

Unique24 ?
Unique (%)70.6%

Sample

1st row02-411-2226
2nd row2265-4700
3rd row0234432695
4th row2263-2269
5th row02-2012-0291
ValueCountFrequency (%)
02-972-5765 3
 
8.8%
02-990-5114 3
 
8.8%
02-2012-0291 2
 
5.9%
02-424-8670 2
 
5.9%
1899-7854 1
 
2.9%
02-411-2226 1
 
2.9%
02-450-4425 1
 
2.9%
031-989-5565 1
 
2.9%
564-5006 1
 
2.9%
02-571-8100 1
 
2.9%
Other values (18) 18
52.9%
2024-04-18T06:25:47.720007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
18.7%
- 55
15.2%
0 54
14.9%
4 34
9.4%
5 30
8.3%
3 24
 
6.6%
1 23
 
6.3%
9 21
 
5.8%
6 21
 
5.8%
8 17
 
4.7%
Other values (2) 16
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
84.6%
Dash Punctuation 55
 
15.2%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
22.1%
0 54
17.6%
4 34
11.1%
5 30
9.8%
3 24
 
7.8%
1 23
 
7.5%
9 21
 
6.8%
6 21
 
6.8%
8 17
 
5.5%
7 15
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
18.7%
- 55
15.2%
0 54
14.9%
4 34
9.4%
5 30
8.3%
3 24
 
6.6%
1 23
 
6.3%
9 21
 
5.8%
6 21
 
5.8%
8 17
 
4.7%
Other values (2) 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
18.7%
- 55
15.2%
0 54
14.9%
4 34
9.4%
5 30
8.3%
3 24
 
6.6%
1 23
 
6.3%
9 21
 
5.8%
6 21
 
5.8%
8 17
 
4.7%
Other values (2) 16
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

소재지우편번호
Text

MISSING 

Distinct25
Distinct (%)83.3%
Missing45
Missing (%)60.0%
Memory size732.0 B
2024-04-18T06:25:47.877542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters186
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

Unique21 ?
Unique (%)70.0%

Sample

1st row100850
2nd row100726
3rd row100951
4th row100850
5th row150-835
ValueCountFrequency (%)
100850 3
 
10.0%
140780 2
 
6.7%
120140 2
 
6.7%
138889 2
 
6.7%
143847 1
 
3.3%
143-708 1
 
3.3%
135936 1
 
3.3%
137030 1
 
3.3%
137893 1
 
3.3%
142881 1
 
3.3%
Other values (15) 15
50.0%
2024-04-18T06:25:48.132998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 39
21.0%
0 37
19.9%
8 23
12.4%
3 20
10.8%
4 15
 
8.1%
5 12
 
6.5%
9 11
 
5.9%
7 10
 
5.4%
2 10
 
5.4%
- 6
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
96.8%
Dash Punctuation 6
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
21.7%
0 37
20.6%
8 23
12.8%
3 20
11.1%
4 15
 
8.3%
5 12
 
6.7%
9 11
 
6.1%
7 10
 
5.6%
2 10
 
5.6%
6 3
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 39
21.0%
0 37
19.9%
8 23
12.4%
3 20
10.8%
4 15
 
8.1%
5 12
 
6.5%
9 11
 
5.9%
7 10
 
5.4%
2 10
 
5.4%
- 6
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 39
21.0%
0 37
19.9%
8 23
12.4%
3 20
10.8%
4 15
 
8.1%
5 12
 
6.5%
9 11
 
5.9%
7 10
 
5.4%
2 10
 
5.4%
- 6
 
3.2%

지번주소
Text

Distinct61
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-18T06:25:48.394360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length25.28
Min length14

Characters and Unicode

Total characters1896
Distinct characters165
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)66.7%

Sample

1st row서울특별시 송파구 신천동 29 롯데월드타워앤드롯데월드몰
2nd row서울특별시 용산구 갈월동 8-3 이노스빌딩
3rd row서울특별시 중구 을지로6가 17-2번지 케레스타 광장
4th row서울특별시 성북구 하월곡동 46-73 홈플러스 월곡점 지하3층
5th row서울특별시 중구 을지로6가 17-2번지 케레스타 앞 광장
ValueCountFrequency (%)
서울특별시 75
 
20.5%
광진구 11
 
3.0%
송파구 9
 
2.5%
중구 7
 
1.9%
구로구 6
 
1.6%
자양동 6
 
1.6%
성북구 6
 
1.6%
신도림동 6
 
1.6%
을지로6가 5
 
1.4%
285-22번지 5
 
1.4%
Other values (158) 229
62.7%
2024-04-18T06:25:48.781007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
 
17.9%
서 84
 
4.4%
구 81
 
4.3%
특 75
 
4.0%
별 75
 
4.0%
시 75
 
4.0%
울 75
 
4.0%
동 72
 
3.8%
1 67
 
3.5%
지 61
 
3.2%
Other values (155) 892
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1212
63.9%
Space Separator 339
 
17.9%
Decimal Number 290
 
15.3%
Dash Punctuation 48
 
2.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Letter Number 1
 
0.1%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 84
 
6.9%
구 81
 
6.7%
특 75
 
6.2%
별 75
 
6.2%
시 75
 
6.2%
울 75
 
6.2%
동 72
 
5.9%
지 61
 
5.0%
번 46
 
3.8%
로 20
 
1.7%
Other values (138) 548
45.2%
Decimal Number
ValueCountFrequency (%)
1 67
23.1%
2 50
17.2%
3 37
12.8%
8 30
10.3%
6 25
 
8.6%
9 20
 
6.9%
5 19
 
6.6%
4 18
 
6.2%
7 15
 
5.2%
0 9
 
3.1%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1212
63.9%
Common 682
36.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 84
 
6.9%
구 81
 
6.7%
특 75
 
6.2%
별 75
 
6.2%
시 75
 
6.2%
울 75
 
6.2%
동 72
 
5.9%
지 61
 
5.0%
번 46
 
3.8%
로 20
 
1.7%
Other values (138) 548
45.2%
Common
ValueCountFrequency (%)
339
49.7%
1 67
 
9.8%
2 50
 
7.3%
- 48
 
7.0%
3 37
 
5.4%
8 30
 
4.4%
6 25
 
3.7%
9 20
 
2.9%
5 19
 
2.8%
4 18
 
2.6%
Other values (5) 29
 
4.3%
Latin
ValueCountFrequency (%)
Ⅱ 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1212
63.9%
ASCII 683
36.0%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
49.6%
1 67
 
9.8%
2 50
 
7.3%
- 48
 
7.0%
3 37
 
5.4%
8 30
 
4.4%
6 25
 
3.7%
9 20
 
2.9%
5 19
 
2.8%
4 18
 
2.6%
Other values (6) 30
 
4.4%
Hangul
ValueCountFrequency (%)
서 84
 
6.9%
구 81
 
6.7%
특 75
 
6.2%
별 75
 
6.2%
시 75
 
6.2%
울 75
 
6.2%
동 72
 
5.9%
지 61
 
5.0%
번 46
 
3.8%
로 20
 
1.7%
Other values (138) 548
45.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)85.7%
Missing26
Missing (%)34.7%
Memory size732.0 B
2024-04-18T06:25:49.031848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length33.163265
Min length22

Characters and Unicode

Total characters1625
Distinct characters164
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)73.5%

Sample

1st row서울특별시 송파구 올림픽로 300, 롯데월드타워앤드롯데월드몰 (신천동)
2nd row서울특별시 용산구 한강대로 324, 이노스빌딩 101호 (갈월동)
3rd row서울특별시 성북구 화랑로 76, 홈플러스 월곡점 지하3층 (하월곡동)
4th row서울특별시 중구 장충단로 253, 지하1층 160호 (을지로6가, 헬로우에이피엠)
5th row서울특별시 성북구 정릉로38길 4, 백제빌딩 (정릉동)
ValueCountFrequency (%)
서울특별시 49
 
16.4%
송파구 7
 
2.3%
광진구 6
 
2.0%
도봉구 4
 
1.3%
용산구 4
 
1.3%
능동 4
 
1.3%
서초구 4
 
1.3%
서대문구 4
 
1.3%
성북구 4
 
1.3%
4층 4
 
1.3%
Other values (150) 208
69.8%
2024-04-18T06:25:49.407498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
15.4%
서 60
 
3.7%
로 59
 
3.6%
동 55
 
3.4%
구 51
 
3.1%
) 50
 
3.1%
울 50
 
3.1%
특 49
 
3.0%
별 49
 
3.0%
시 49
 
3.0%
Other values (154) 902
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1022
62.9%
Space Separator 251
 
15.4%
Decimal Number 203
 
12.5%
Close Punctuation 50
 
3.1%
Open Punctuation 49
 
3.0%
Other Punctuation 40
 
2.5%
Dash Punctuation 9
 
0.6%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 60
 
5.9%
로 59
 
5.8%
동 55
 
5.4%
구 51
 
5.0%
울 50
 
4.9%
특 49
 
4.8%
별 49
 
4.8%
시 49
 
4.8%
대 20
 
2.0%
이 17
 
1.7%
Other values (138) 563
55.1%
Decimal Number
ValueCountFrequency (%)
1 44
21.7%
2 26
12.8%
3 25
12.3%
5 22
10.8%
4 21
10.3%
0 17
 
8.4%
8 15
 
7.4%
7 14
 
6.9%
6 13
 
6.4%
9 6
 
3.0%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1022
62.9%
Common 602
37.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 60
 
5.9%
로 59
 
5.8%
동 55
 
5.4%
구 51
 
5.0%
울 50
 
4.9%
특 49
 
4.8%
별 49
 
4.8%
시 49
 
4.8%
대 20
 
2.0%
이 17
 
1.7%
Other values (138) 563
55.1%
Common
ValueCountFrequency (%)
251
41.7%
) 50
 
8.3%
( 49
 
8.1%
1 44
 
7.3%
, 40
 
6.6%
2 26
 
4.3%
3 25
 
4.2%
5 22
 
3.7%
4 21
 
3.5%
0 17
 
2.8%
Other values (5) 57
 
9.5%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1022
62.9%
ASCII 602
37.0%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
41.7%
) 50
 
8.3%
( 49
 
8.1%
1 44
 
7.3%
, 40
 
6.6%
2 26
 
4.3%
3 25
 
4.2%
5 22
 
3.7%
4 21
 
3.5%
0 17
 
2.8%
Other values (5) 57
 
9.5%
Hangul
ValueCountFrequency (%)
서 60
 
5.9%
로 59
 
5.8%
동 55
 
5.4%
구 51
 
5.0%
울 50
 
4.9%
특 49
 
4.8%
별 49
 
4.8%
시 49
 
4.8%
대 20
 
2.0%
이 17
 
1.7%
Other values (138) 563
55.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)73.9%
Missing29
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean20963.826
Minimum1321
Maximum143847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:49.517843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1321
5-th percentile1321
Q13424.25
median4991
Q36344.25
95-th percentile133474.75
Maximum143847
Range142526
Interquartile range (IQR)2920

Descriptive statistics

Standard deviation43192.695
Coefficient of variation (CV)2.0603441
Kurtosis3.5000366
Mean20963.826
Median Absolute Deviation (MAD)1522
Skewness2.2954047
Sum964336
Variance1.8656089 × 109
MonotonicityNot monotonic
2024-04-18T06:25:49.620957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1321 4
 
5.3%
4991 3
 
4.0%
4377 2
 
2.7%
5648 2
 
2.7%
120140 2
 
2.7%
3306 2
 
2.7%
5551 2
 
2.7%
6513 2
 
2.7%
2816 2
 
2.7%
4566 1
 
1.3%
Other values (24) 24
32.0%
(Missing) 29
38.7%
ValueCountFrequency (%)
1321 4
5.3%
1762 1
 
1.3%
2751 1
 
1.3%
2788 1
 
1.3%
2816 2
2.7%
3172 1
 
1.3%
3306 2
2.7%
3779 1
 
1.3%
3789 1
 
1.3%
3900 1
 
1.3%
ValueCountFrequency (%)
143847 1
1.3%
140780 1
1.3%
137030 1
1.3%
122809 1
1.3%
120140 2
2.7%
8205 1
1.3%
7788 1
1.3%
7304 1
1.3%
7297 1
1.3%
6513 2
2.7%

사업장명
Text

Distinct64
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-18T06:25:49.803971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length9.5066667
Min length1

Characters and Unicode

Total characters713
Distinct characters188
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

Unique56 ?
Unique (%)74.7%

Sample

1st row롯데월드 월드파크
2nd row한성레포츠
3rd row동대문 타가다
4th row브릭스
5th row동대문 랜드
ValueCountFrequency (%)
천우엔터테인먼트 5
 
3.9%
워터파크 4
 
3.1%
도봉튜빙눈썰매장 3
 
2.4%
눈썰매장 3
 
2.4%
한강공원 3
 
2.4%
월드파크 2
 
1.6%
동대문 2
 
1.6%
주)스마틱스 2
 
1.6%
주식회사 2
 
1.6%
정릉점 2
 
1.6%
Other values (89) 99
78.0%
2024-04-18T06:25:50.135776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
7.4%
이 26
 
3.6%
) 19
 
2.7%
크 19
 
2.7%
( 19
 
2.7%
드 17
 
2.4%
터 16
 
2.2%
파 15
 
2.1%
주 15
 
2.1%
한 14
 
2.0%
Other values (178) 500
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
82.0%
Space Separator 53
 
7.4%
Decimal Number 21
 
2.9%
Close Punctuation 19
 
2.7%
Open Punctuation 19
 
2.7%
Lowercase Letter 15
 
2.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 26
 
4.4%
크 19
 
3.2%
드 17
 
2.9%
터 16
 
2.7%
파 15
 
2.6%
주 15
 
2.6%
한 14
 
2.4%
원 12
 
2.1%
테 11
 
1.9%
스 10
 
1.7%
Other values (156) 430
73.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
13.3%
e 2
13.3%
t 2
13.3%
k 1
6.7%
s 1
6.7%
f 1
6.7%
y 1
6.7%
i 1
6.7%
c 1
6.7%
p 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
0 5
23.8%
1 4
19.0%
5 2
 
9.5%
3 2
 
9.5%
9 1
 
4.8%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
82.0%
Common 113
 
15.8%
Latin 15
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 26
 
4.4%
크 19
 
3.2%
드 17
 
2.9%
터 16
 
2.7%
파 15
 
2.6%
주 15
 
2.6%
한 14
 
2.4%
원 12
 
2.1%
테 11
 
1.9%
스 10
 
1.7%
Other values (156) 430
73.5%
Latin
ValueCountFrequency (%)
a 2
13.3%
e 2
13.3%
t 2
13.3%
k 1
6.7%
s 1
6.7%
f 1
6.7%
y 1
6.7%
i 1
6.7%
c 1
6.7%
p 1
6.7%
Other values (2) 2
13.3%
Common
ValueCountFrequency (%)
53
46.9%
) 19
 
16.8%
( 19
 
16.8%
2 7
 
6.2%
0 5
 
4.4%
1 4
 
3.5%
5 2
 
1.8%
3 2
 
1.8%
9 1
 
0.9%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
82.0%
ASCII 128
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
41.4%
) 19
 
14.8%
( 19
 
14.8%
2 7
 
5.5%
0 5
 
3.9%
1 4
 
3.1%
5 2
 
1.6%
3 2
 
1.6%
a 2
 
1.6%
e 2
 
1.6%
Other values (12) 13
 
10.2%
Hangul
ValueCountFrequency (%)
이 26
 
4.4%
크 19
 
3.2%
드 17
 
2.9%
터 16
 
2.7%
파 15
 
2.6%
주 15
 
2.6%
한 14
 
2.4%
원 12
 
2.1%
테 11
 
1.9%
스 10
 
1.7%
Other values (156) 430
73.5%

최종수정일자
Date

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2003-05-07 15:55:14
Maximum2024-04-12 14:41:38
2024-04-18T06:25:50.245088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:50.347993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
I
40 
U
32 
D
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
53.3%
U 32
42.7%
D 3
 
4.0%

Length

2024-04-18T06:25:50.457248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:50.551989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
53.3%
u 32
42.7%
d 3
 
4.0%

데이터갱신일자
Date

Distinct39
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-04-18T06:25:50.648121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:25:50.749941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

좌표정보(X)
Real number (ℝ)

Distinct49
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200607.56
Minimum184498
Maximum211798.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:50.857589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184498
5-th percentile188852.35
Q1194320.16
median201578.22
Q3205973.01
95-th percentile210435.56
Maximum211798.75
Range27300.749
Interquartile range (IQR)11652.848

Descriptive statistics

Standard deviation7018.2917
Coefficient of variation (CV)0.03498518
Kurtosis-0.90755983
Mean200607.56
Median Absolute Deviation (MAD)4816.1431
Skewness-0.41959284
Sum15045567
Variance49256418
MonotonicityNot monotonic
2024-04-18T06:25:50.968535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
205930.90842787 6
 
8.0%
188852.353320827 5
 
6.7%
200613.510297669 4
 
5.3%
204154.244756969 4
 
5.3%
196762.077394917 3
 
4.0%
209074.900840074 2
 
2.7%
207039.842488081 2
 
2.7%
207138.865762508 2
 
2.7%
206305.682334264 2
 
2.7%
194315.886084572 2
 
2.7%
Other values (39) 43
57.3%
ValueCountFrequency (%)
184498.0 1
 
1.3%
188852.353320827 5
6.7%
189028.298692595 1
 
1.3%
189154.205982561 1
 
1.3%
189786.007859284 1
 
1.3%
190470.233793153 1
 
1.3%
191087.758954321 1
 
1.3%
191794.746217599 1
 
1.3%
192777.796182417 1
 
1.3%
192798.659161134 2
 
2.7%
ValueCountFrequency (%)
211798.748740544 1
1.3%
211619.368009793 1
1.3%
211218.957284378 1
1.3%
210986.460698452 1
1.3%
210199.45921923 1
1.3%
209775.267831522 1
1.3%
209074.900840074 2
2.7%
208589.363343145 1
1.3%
207280.548175724 2
2.7%
207138.865762508 2
2.7%

좌표정보(Y)
Real number (ℝ)

Distinct48
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450422.6
Minimum440511.56
Maximum464025.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:51.087403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440511.56
5-th percentile444729.33
Q1446256.12
median449438.97
Q3451854.06
95-th percentile462918.14
Maximum464025.98
Range23514.419
Interquartile range (IQR)5597.9372

Descriptive statistics

Standard deviation5561.2122
Coefficient of variation (CV)0.012346654
Kurtosis0.36620294
Mean450422.6
Median Absolute Deviation (MAD)3124.2799
Skewness0.94004541
Sum33781695
Variance30927081
MonotonicityNot monotonic
2024-04-18T06:25:51.201355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
447507.969485782 6
 
8.0%
445204.428018749 5
 
6.7%
451817.515366883 4
 
5.3%
464025.980159844 4
 
5.3%
447480.039577359 3
 
4.0%
445657.80932984 2
 
2.7%
449315.360319511 2
 
2.7%
449705.690586932 2
 
2.7%
455882.184666907 2
 
2.7%
450384.575342365 2
 
2.7%
Other values (38) 43
57.3%
ValueCountFrequency (%)
440511.561175378 1
 
1.3%
441725.293491662 1
 
1.3%
442355.476492815 1
 
1.3%
443620.761118415 1
 
1.3%
445204.428018749 5
6.7%
445249.358972833 1
 
1.3%
445455.90405262 1
 
1.3%
445657.80932984 2
 
2.7%
445963.384875409 2
 
2.7%
446099.769813662 1
 
1.3%
ValueCountFrequency (%)
464025.980159844 4
5.3%
462443.346065771 1
 
1.3%
461175.377243531 1
 
1.3%
459646.827222065 2
2.7%
457412.609904875 1
 
1.3%
456892.326677931 1
 
1.3%
456280.421408892 1
 
1.3%
456142.739228816 1
 
1.3%
455882.184666907 2
2.7%
455535.480175617 2
2.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
허가유원시설업
49 
<NA>
26 

Length

Max length7
Median length7
Mean length5.96
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가유원시설업 49
65.3%
<NA> 26
34.7%

Length

2024-04-18T06:25:51.321087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:51.405154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 49
65.3%
na 26
34.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
72 
유원시설업
 
3

Length

Max length5
Median length4
Mean length4.04
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> 72
96.0%
유원시설업 3
 
4.0%

Length

2024-04-18T06:25:51.504364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:51.589916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
96.0%
유원시설업 3
 
4.0%

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
자연녹지지역
6 
일반상업지역
 
3
상업지역
 
3
일반주거지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.4
Min length4

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
자연녹지지역 6
 
8.0%
일반상업지역 3
 
4.0%
상업지역 3
 
4.0%
일반주거지역 3
 
4.0%
중심상업지역 2
 
2.7%
주거지역 1
 
1.3%
전용주거지역 1
 
1.3%

Length

2024-04-18T06:25:51.681297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:51.782835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
자연녹지지역 6
 
8.0%
일반상업지역 3
 
4.0%
상업지역 3
 
4.0%
일반주거지역 3
 
4.0%
중심상업지역 2
 
2.7%
주거지역 1
 
1.3%
전용주거지역 1
 
1.3%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
67 
0
7 
3
 
1

Length

Max length4
Median length4
Mean length3.68
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
89.3%
0 7
 
9.3%
3 1
 
1.3%

Length

2024-04-18T06:25:51.888031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:51.974948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
89.3%
0 7
 
9.3%
3 1
 
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
기타
 
5
유흥업소밀집지역
 
2

Length

Max length8
Median length4
Mean length3.9733333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
기타 5
 
6.7%
유흥업소밀집지역 2
 
2.7%

Length

2024-04-18T06:25:52.068841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:52.172761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
기타 5
 
6.7%
유흥업소밀집지역 2
 
2.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

건물용도명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing69
Missing (%)92.0%
Memory size732.0 B
2024-04-18T06:25:52.277263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.5
Min length3

Characters and Unicode

Total characters27
Distinct characters15
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

Unique4 ?
Unique (%)66.7%

Sample

1st row근린생활시설
2nd row유기장
3rd row근린생활시설
4th row문화시설
5th row숙박시설
ValueCountFrequency (%)
근린생활시설 2
33.3%
유기장 1
16.7%
문화시설 1
16.7%
숙박시설 1
16.7%
체육시설 1
16.7%
2024-04-18T06:25:52.495531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
18.5%
설 5
18.5%
근 2
 
7.4%
린 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
유 1
 
3.7%
기 1
 
3.7%
장 1
 
3.7%
문 1
 
3.7%
Other values (5) 5
18.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
18.5%
설 5
18.5%
근 2
 
7.4%
린 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
유 1
 
3.7%
기 1
 
3.7%
장 1
 
3.7%
문 1
 
3.7%
Other values (5) 5
18.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
18.5%
설 5
18.5%
근 2
 
7.4%
린 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
유 1
 
3.7%
기 1
 
3.7%
장 1
 
3.7%
문 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
18.5%
설 5
18.5%
근 2
 
7.4%
린 2
 
7.4%
생 2
 
7.4%
활 2
 
7.4%
유 1
 
3.7%
기 1
 
3.7%
장 1
 
3.7%
문 1
 
3.7%
Other values (5) 5
18.5%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
66 
0
 
6
3
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
88.0%
0 6
 
8.0%
3 2
 
2.7%
4 1
 
1.3%

Length

2024-04-18T06:25:52.604124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:52.701960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
88.0%
0 6
 
8.0%
3 2
 
2.7%
4 1
 
1.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
67 
0
7 
1
 
1

Length

Max length4
Median length4
Mean length3.68
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
89.3%
0 7
 
9.3%
1 1
 
1.3%

Length

2024-04-18T06:25:52.799776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:52.887196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
89.3%
0 7
 
9.3%
1 1
 
1.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:52.980033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:53.065485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:53.547585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:53.628926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:53.719391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:53.803521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:53.895297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:53.981223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:54.081618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:54.171101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:54.268106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:54.359076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:54.450958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:54.538145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)73.3%
Missing60
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean1278.0253
Minimum0
Maximum6612
Zeros5
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:54.609779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median227.62
Q32428.065
95-th percentile4367.1
Maximum6612
Range6612
Interquartile range (IQR)2428.065

Descriptive statistics

Standard deviation1941.2906
Coefficient of variation (CV)1.5189766
Kurtosis2.9324461
Mean1278.0253
Median Absolute Deviation (MAD)227.62
Skewness1.7464163
Sum19170.38
Variance3768609.2
MonotonicityNot monotonic
2024-04-18T06:25:54.695799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 5
 
6.7%
227.62 1
 
1.3%
480.0 1
 
1.3%
325.4 1
 
1.3%
6612.0 1
 
1.3%
28.05 1
 
1.3%
2839.13 1
 
1.3%
170.0 1
 
1.3%
2017.0 1
 
1.3%
3405.0 1
 
1.3%
(Missing) 60
80.0%
ValueCountFrequency (%)
0.0 5
6.7%
28.05 1
 
1.3%
170.0 1
 
1.3%
227.62 1
 
1.3%
325.4 1
 
1.3%
480.0 1
 
1.3%
2017.0 1
 
1.3%
2839.13 1
 
1.3%
3066.18 1
 
1.3%
3405.0 1
 
1.3%
ValueCountFrequency (%)
6612.0 1
1.3%
3405.0 1
1.3%
3066.18 1
1.3%
2839.13 1
1.3%
2017.0 1
1.3%
480.0 1
1.3%
325.4 1
1.3%
227.62 1
1.3%
170.0 1
1.3%
28.05 1
1.3%

놀이기구수내역
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing39
Missing (%)52.0%
Memory size732.0 B
2024-04-18T06:25:54.880659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length29.5
Mean length22.75
Min length1

Characters and Unicode

Total characters819
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row타가다 1대
2nd row1개( 타가타)
3rd row타가디스코 1대
4th row3종(오픈회전형슬라이드,미니회전형슬라이드,직선트윈형슬라이드)
5th row오픈회전형슬라이드, 미니회전형슬라이드, 직선트윈형슬라이드
ValueCountFrequency (%)
안전성검사 9
 
6.9%
유기기구 7
 
5.3%
1대 6
 
4.6%
대상 5
 
3.8%
1종 5
 
3.8%
비대상 4
 
3.1%
2종 3
 
2.3%
5종 3
 
2.3%
또는 2
 
1.5%
2
 
1.5%
Other values (75) 85
64.9%
2024-04-18T06:25:55.192728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
11.6%
대 43
 
5.3%
, 33
 
4.0%
1 28
 
3.4%
이 27
 
3.3%
상 24
 
2.9%
전 24
 
2.9%
종 24
 
2.9%
검 24
 
2.9%
사 23
 
2.8%
Other values (108) 474
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
69.0%
Space Separator 95
 
11.6%
Decimal Number 57
 
7.0%
Other Punctuation 38
 
4.6%
Close Punctuation 20
 
2.4%
Open Punctuation 20
 
2.4%
Lowercase Letter 15
 
1.8%
Dash Punctuation 5
 
0.6%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 43
 
7.6%
이 27
 
4.8%
상 24
 
4.2%
전 24
 
4.2%
종 24
 
4.2%
검 24
 
4.2%
사 23
 
4.1%
기 23
 
4.1%
라 18
 
3.2%
슬 18
 
3.2%
Other values (80) 317
56.1%
Decimal Number
ValueCountFrequency (%)
1 28
49.1%
2 9
 
15.8%
3 7
 
12.3%
4 4
 
7.0%
5 3
 
5.3%
9 2
 
3.5%
7 1
 
1.8%
8 1
 
1.8%
0 1
 
1.8%
6 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
b 4
26.7%
e 3
20.0%
u 2
13.3%
l 2
13.3%
i 1
 
6.7%
a 1
 
6.7%
r 1
 
6.7%
k 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 33
86.8%
/ 2
 
5.3%
: 2
 
5.3%
. 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
C 1
 
25.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
69.0%
Common 235
28.7%
Latin 19
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 43
 
7.6%
이 27
 
4.8%
상 24
 
4.2%
전 24
 
4.2%
종 24
 
4.2%
검 24
 
4.2%
사 23
 
4.1%
기 23
 
4.1%
라 18
 
3.2%
슬 18
 
3.2%
Other values (80) 317
56.1%
Common
ValueCountFrequency (%)
95
40.4%
, 33
 
14.0%
1 28
 
11.9%
) 20
 
8.5%
( 20
 
8.5%
2 9
 
3.8%
3 7
 
3.0%
- 5
 
2.1%
4 4
 
1.7%
5 3
 
1.3%
Other values (8) 11
 
4.7%
Latin
ValueCountFrequency (%)
b 4
21.1%
B 3
15.8%
e 3
15.8%
u 2
10.5%
l 2
10.5%
i 1
 
5.3%
C 1
 
5.3%
a 1
 
5.3%
r 1
 
5.3%
k 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
69.0%
ASCII 254
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
37.4%
, 33
 
13.0%
1 28
 
11.0%
) 20
 
7.9%
( 20
 
7.9%
2 9
 
3.5%
3 7
 
2.8%
- 5
 
2.0%
b 4
 
1.6%
4 4
 
1.6%
Other values (18) 29
 
11.4%
Hangul
ValueCountFrequency (%)
대 43
 
7.6%
이 27
 
4.8%
상 24
 
4.2%
전 24
 
4.2%
종 24
 
4.2%
검 24
 
4.2%
사 23
 
4.1%
기 23
 
4.1%
라 18
 
3.2%
슬 18
 
3.2%
Other values (80) 317
56.1%

놀이시설수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
 
6
2
 
1

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 6
 
8.0%
2 1
 
1.3%

Length

2024-04-18T06:25:55.310943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:55.409922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 6
 
8.0%
2 1
 
1.3%

방송시설유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)6.5%
Missing44
Missing (%)58.7%
Memory size282.0 B
True
28 
False
 
3
(Missing)
44 
ValueCountFrequency (%)
True 28
37.3%
False 3
 
4.0%
(Missing) 44
58.7%
2024-04-18T06:25:55.487360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)9.1%
Missing53
Missing (%)70.7%
Memory size282.0 B
True
19 
False
 
3
(Missing)
53 
ValueCountFrequency (%)
True 19
 
25.3%
False 3
 
4.0%
(Missing) 53
70.7%
2024-04-18T06:25:55.572906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)8.3%
Missing51
Missing (%)68.0%
Memory size282.0 B
True
21 
False
 
3
(Missing)
51 
ValueCountFrequency (%)
True 21
28.0%
False 3
 
4.0%
(Missing) 51
68.0%
2024-04-18T06:25:55.639362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)6.2%
Missing43
Missing (%)57.3%
Memory size282.0 B
True
29 
False
 
3
(Missing)
43 
ValueCountFrequency (%)
True 29
38.7%
False 3
 
4.0%
(Missing) 43
57.3%
2024-04-18T06:25:55.715661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
0
7 

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
0 7
 
9.3%

Length

2024-04-18T06:25:55.808763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:25:55.897065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
0 7
 
9.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)73.3%
Missing60
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean1278
Minimum0
Maximum6612
Zeros5
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-18T06:25:55.972384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median228
Q32428
95-th percentile4367.1
Maximum6612
Range6612
Interquartile range (IQR)2428

Descriptive statistics

Standard deviation1941.2729
Coefficient of variation (CV)1.5189929
Kurtosis2.9327647
Mean1278
Median Absolute Deviation (MAD)228
Skewness1.7464782
Sum19170
Variance3768540.6
MonotonicityNot monotonic
2024-04-18T06:25:56.057077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 5
 
6.7%
228 1
 
1.3%
480 1
 
1.3%
325 1
 
1.3%
6612 1
 
1.3%
28 1
 
1.3%
2839 1
 
1.3%
170 1
 
1.3%
2017 1
 
1.3%
3405 1
 
1.3%
(Missing) 60
80.0%
ValueCountFrequency (%)
0 5
6.7%
28 1
 
1.3%
170 1
 
1.3%
228 1
 
1.3%
325 1
 
1.3%
480 1
 
1.3%
2017 1
 
1.3%
2839 1
 
1.3%
3066 1
 
1.3%
3405 1
 
1.3%
ValueCountFrequency (%)
6612 1
1.3%
3405 1
1.3%
3066 1
1.3%
2839 1
1.3%
2017 1
1.3%
480 1
1.3%
325 1
1.3%
228 1
1.3%
170 1
1.3%
28 1
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03230000CDFI52710020220000012022-11-09<NA>3폐업3폐업2023-03-01<NA><NA><NA>02-411-2226<NA><NA>서울특별시 송파구 신천동 29 롯데월드타워앤드롯데월드몰서울특별시 송파구 올림픽로 300, 롯데월드타워앤드롯데월드몰 (신천동)5551롯데월드 월드파크2023-11-06 15:30:58U2022-11-01 00:08:00.0<NA>209074.90084445657.80933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFI52710020220000022022-12-23<NA>3폐업3폐업2023-02-12<NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 8-3 이노스빌딩서울특별시 용산구 한강대로 324, 이노스빌딩 101호 (갈월동)4334한성레포츠2023-02-15 16:36:46U2022-12-01 23:08:00.0<NA>197462.954361449438.967308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFI527100200900000120090417<NA>3폐업3폐업20140301<NA><NA><NA><NA><NA>100850서울특별시 중구 을지로6가 17-2번지 케레스타 광장<NA><NA>동대문 타가다2014-03-26 11:33:50I2018-08-31 23:59:59.0<NA>200613.510298451817.515367허가유원시설업<NA>중심상업지역0기타<NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0타가다 1대0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
33070000CDFI52710020230000012023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 46-73 홈플러스 월곡점 지하3층서울특별시 성북구 화랑로 76, 홈플러스 월곡점 지하3층 (하월곡동)2751브릭스2023-03-21 16:17:21I2022-12-02 22:03:00.0<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>
43010000CDFI527100200900000220090730<NA>3폐업3폐업20140301<NA><NA><NA><NA><NA>100726서울특별시 중구 을지로6가 17-2번지 케레스타 앞 광장<NA><NA>동대문 랜드2014-10-21 15:41:00I2018-08-31 23:59:59.0<NA>200613.510298451817.515367허가유원시설업<NA>중심상업지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.01개( 타가타)0YYYY<NA><NA>0<NA><NA><NA>0
53010000CDFI527100201300000120131112<NA>3폐업3폐업20160731<NA><NA><NA><NA><NA>100951서울특별시 중구 을지로6가 18-35번지 헬로우에이피엠 지하1층 160호서울특별시 중구 장충단로 253, 지하1층 160호 (을지로6가, 헬로우에이피엠)4564에이피엠놀이랜드2016-08-03 09:47:31I2018-08-31 23:59:59.0<NA>200649.776732451689.785217허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0227.62타가디스코 1대0YY<NA>Y<NA><NA>0<NA><NA><NA>228
63010000CDFI527100200200000120020410<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2265-4700<NA>100850서울특별시 중구 을지로6가 17-2번지 프레야타운<NA><NA>한성아이코(주)2003-05-07 15:55:14I2018-08-31 23:59:59.0<NA>200613.510298451817.515367허가유원시설업유원시설업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0NNNN<NA><NA>0<NA><NA><NA>0
73070000CDFI52710020180000012018-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 16-175 백제빌딩서울특별시 성북구 정릉로38길 4, 백제빌딩 (정릉동)2816뛰노리방방 정릉점2023-04-13 16:19:41D2022-12-03 23:05:00.0<NA>201578.220497455535.480176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFI527100202200000120220623<NA>3폐업3폐업20220821<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 759 마곡센트럴타워Ⅱ서울특별시 강서구 마곡서로 158, 마곡센트럴타워Ⅱ 4층 413호 (마곡동)7788(주)엠디앤디벨로프2022-08-22 15:17:41U2021-12-07 22:04:00.0<NA>184498.0451786.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFI52710020220000012022-12-22<NA>3폐업3폐업2023-02-15<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 121 한강공원잠원안내센터서울특별시 서초구 잠원로 145-57, 잠원한강공원수영장 (잠원동)6513잠원 한강공원 눈썰매장2023-02-15 09:39:14U2022-12-01 23:07:00.0<NA>200753.815592446314.687402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
653120000CDFI527100201500000220150714<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>120140서울특별시 서대문구 신촌동 1번지 연세로 일대서울특별시 서대문구 연세로 1 (신촌동)120140워터슬라이드(2015시티슬라이드페스타)2015-07-21 08:56:46I2018-08-31 23:59:59.0<NA>194315.886085450384.575342허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663210000CDFI527100200900000120090703<NA>3폐업3폐업20110919<NA><NA><NA>02-571-8100<NA>137893서울특별시 서초구 양재동 202번지서울특별시 서초구 바우뫼로12길 70 (양재동)<NA>대교개발(주)2011-09-20 09:27:22I2018-08-31 23:59:59.0<NA>202833.261654440511.561175허가유원시설업<NA>자연녹지지역<NA><NA><NA><NA>숙박시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3066.183종(파도풀, 유수풀. 슬라이드)<NA>YYYY<NA><NA><NA><NA><NA><NA>3066
673210000CDFI527100201300000120130705<NA>3폐업3폐업20130826<NA><NA><NA><NA><NA>137030서울특별시 서초구 잠원동 121-8번지서울특별시 서초구 잠원로 221-124 (잠원동)137030한강잠원야외수영장2013-09-17 15:06:34I2018-08-31 23:59:59.0<NA>201015.009716446493.163455허가유원시설업<NA><NA><NA><NA><NA><NA>체육시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1종(에어슬라이드)<NA>YYYY<NA><NA><NA><NA><NA><NA><NA>
683220000CDFI527100200300000120030502<NA>3폐업3폐업20040219<NA><NA><NA>564-5006<NA>135936서울특별시 강남구 역삼동 831-3번지 1층서울특별시 강남구 강남대로78길 8 (역삼동,1층)<NA>환타지랜드2004-02-19 15:40:20I2018-08-31 23:59:59.0<NA>202589.131642443620.761118허가유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNN<NA><NA><NA><NA><NA><NA><NA>
693230000CDFI527100201900000120190719<NA>3폐업3폐업20190818<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 634번지 가든파이브 야외광장서울특별시 송파구 충민로 66, 가든파이브 야외광장 (문정동)58382019 가든파이브 워터파크 페스티벌2019-12-03 17:19:09U2019-12-05 02:40:00.0<NA>210986.460698441725.293492허가유원시설업<NA>상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상 1종 1대, 비대상 2종 2대<NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>
703230000CDFI527100201200000220120709<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>138889서울특별시 송파구 잠실동 1-1번지<NA><NA>유로2012-10-15 10:40:55I2018-08-31 23:59:59.0<NA>207280.548176446256.122691허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1종 1대(워터슬라이드)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713230000CDFI527100201700000220170404<NA>3폐업3폐업20170410<NA><NA><NA>031-989-5565<NA><NA>서울특별시 송파구 방이동 89-11번지 올림픽프라자서울특별시 송파구 양재대로 1222 (방이동, 올림픽프라자)5648모두엔터테인먼트(주)2017-04-11 15:16:42I2018-08-31 23:59:59.0<NA>211619.36801445963.384875허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사1종4대(BubbleCar) 비대상1종2대(BubbleBike)<NA><NA><NA>YY<NA><NA><NA><NA><NA><NA><NA>
723230000CDFI527100201600000120160704201804184취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동서울특별시 송파구 양재대로 1222 (방이동, 올림픽프라자)5648유로2018-04-24 17:18:50I2018-08-31 23:59:59.0<NA>211798.748741445963.384875허가유원시설업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미니바이킹1대 / 미니에어바운스 1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733230000CDFI527100201300000120130628<NA>3폐업34영업장폐쇄20130901<NA><NA><NA><NA><NA>138889서울특별시 송파구 잠실동 1-1번지<NA><NA>(주)파인리조트2015-04-16 16:52:23I2018-08-31 23:59:59.0<NA>207280.548176446256.122691허가유원시설업<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><NA>
743230000CDFI527100201200000120120504<NA>3폐업3폐업20220629<NA><NA><NA>070-4343-2835<NA>138721서울특별시 송파구 잠실동 40-1서울특별시 송파구 올림픽로 240 (잠실동)5554(주)뽀로로파크2022-06-29 16:31:03U2021-12-07 00:01:00.0<NA>208589.363343445455.904053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>