Overview

Dataset statistics

Number of variables60
Number of observations385
Missing cells10172
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory195.3 KiB
Average record size in memory519.3 B

Variable types

Numeric8
Text7
DateTime5
Unsupported19
Categorical21

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-16047/S/1/datasetView.do

Alerts

소재지우편번호 is highly imbalanced (69.8%)Imbalance
지역구분명 is highly imbalanced (62.1%)Imbalance
주변환경명 is highly imbalanced (66.3%)Imbalance
지하층수 is highly imbalanced (63.5%)Imbalance
객실수 is highly imbalanced (80.2%)Imbalance
영문상호주소 is highly imbalanced (70.6%)Imbalance
선박총톤수 is highly imbalanced (66.3%)Imbalance
선박척수 is highly imbalanced (66.3%)Imbalance
무대면적 is highly imbalanced (66.3%)Imbalance
좌석수 is highly imbalanced (66.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (66.3%)Imbalance
놀이시설수 is highly imbalanced (66.3%)Imbalance
인허가취소일자 has 385 (100.0%) missing valuesMissing
폐업일자 has 279 (72.5%) missing valuesMissing
휴업시작일자 has 385 (100.0%) missing valuesMissing
휴업종료일자 has 279 (72.5%) missing valuesMissing
재개업일자 has 385 (100.0%) missing valuesMissing
전화번호 has 311 (80.8%) missing valuesMissing
소재지면적 has 385 (100.0%) missing valuesMissing
도로명주소 has 40 (10.4%) missing valuesMissing
도로명우편번호 has 70 (18.2%) missing valuesMissing
업태구분명 has 385 (100.0%) missing valuesMissing
문화사업자구분명 has 385 (100.0%) missing valuesMissing
제작취급품목내용 has 385 (100.0%) missing valuesMissing
보험기관명 has 380 (98.7%) missing valuesMissing
건축연면적 has 357 (92.7%) missing valuesMissing
영문상호명 has 319 (82.9%) missing valuesMissing
선박제원 has 385 (100.0%) missing valuesMissing
기념품종류 has 385 (100.0%) missing valuesMissing
시설면적 has 239 (62.1%) missing valuesMissing
놀이기구수내역 has 385 (100.0%) missing valuesMissing
방송시설유무 has 385 (100.0%) missing valuesMissing
발전시설유무 has 385 (100.0%) missing valuesMissing
의무실유무 has 385 (100.0%) missing valuesMissing
안내소유무 has 385 (100.0%) missing valuesMissing
기획여행보험시작일자 has 385 (100.0%) missing valuesMissing
기획여행보험종료일자 has 385 (100.0%) missing valuesMissing
자본금 has 340 (88.3%) missing valuesMissing
보험시작일자 has 385 (100.0%) missing valuesMissing
보험종료일자 has 385 (100.0%) missing valuesMissing
부대시설내역 has 385 (100.0%) missing valuesMissing
시설규모 has 239 (62.1%) missing valuesMissing
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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 has 23 (6.0%) zerosZeros
자본금 has 19 (4.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:27:36.526924
Analysis finished2024-05-11 05:27:37.798533
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3016077.9
Minimum3000000
Maximum3230000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:27:38.222075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13000000
median3000000
Q33000000
95-th percentile3110000
Maximum3230000
Range230000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38856.63
Coefficient of variation (CV)0.012883165
Kurtosis6.2988468
Mean3016077.9
Median Absolute Deviation (MAD)0
Skewness2.509285
Sum1.16119 × 109
Variance1.5098377 × 109
MonotonicityNot monotonic
2024-05-11T14:27:38.425777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3000000 320
83.1%
3110000 31
 
8.1%
3070000 19
 
4.9%
3050000 5
 
1.3%
3130000 3
 
0.8%
3230000 2
 
0.5%
3040000 2
 
0.5%
3180000 1
 
0.3%
3010000 1
 
0.3%
3080000 1
 
0.3%
ValueCountFrequency (%)
3000000 320
83.1%
3010000 1
 
0.3%
3040000 2
 
0.5%
3050000 5
 
1.3%
3070000 19
 
4.9%
3080000 1
 
0.3%
3110000 31
 
8.1%
3130000 3
 
0.8%
3180000 1
 
0.3%
3230000 2
 
0.5%
ValueCountFrequency (%)
3230000 2
 
0.5%
3180000 1
 
0.3%
3130000 3
 
0.8%
3110000 31
 
8.1%
3080000 1
 
0.3%
3070000 19
 
4.9%
3050000 5
 
1.3%
3040000 2
 
0.5%
3010000 1
 
0.3%
3000000 320
83.1%
Distinct328
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T14:27:38.825617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7700
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

Unique290 ?
Unique (%)75.3%

Sample

1st rowCDFI2262222023000016
2nd rowCDFI2262222023000008
3rd rowCDFI2262222015000013
4th rowCDFI2262222023000009
5th rowCDFI2262222023000001
ValueCountFrequency (%)
cdfi2262222024000001 5
 
1.3%
cdfi2262222022000001 4
 
1.0%
cdfi2262222021000001 4
 
1.0%
cdfi2262222023000001 4
 
1.0%
cdfi2262222024000002 4
 
1.0%
cdfi2262222021000002 3
 
0.8%
cdfi2262222023000005 3
 
0.8%
cdfi2262222023000003 3
 
0.8%
cdfi2262222023000002 3
 
0.8%
cdfi2262222023000004 3
 
0.8%
Other values (318) 349
90.6%
2024-05-11T14:27:39.473097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2320
30.1%
0 2224
28.9%
1 602
 
7.8%
6 442
 
5.7%
C 385
 
5.0%
D 385
 
5.0%
F 385
 
5.0%
I 385
 
5.0%
3 285
 
3.7%
4 79
 
1.0%
Other values (4) 208
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6160
80.0%
Uppercase Letter 1540
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2320
37.7%
0 2224
36.1%
1 602
 
9.8%
6 442
 
7.2%
3 285
 
4.6%
4 79
 
1.3%
5 64
 
1.0%
8 50
 
0.8%
9 49
 
0.8%
7 45
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 385
25.0%
D 385
25.0%
F 385
25.0%
I 385
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6160
80.0%
Latin 1540
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2320
37.7%
0 2224
36.1%
1 602
 
9.8%
6 442
 
7.2%
3 285
 
4.6%
4 79
 
1.3%
5 64
 
1.0%
8 50
 
0.8%
9 49
 
0.8%
7 45
 
0.7%
Latin
ValueCountFrequency (%)
C 385
25.0%
D 385
25.0%
F 385
25.0%
I 385
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2320
30.1%
0 2224
28.9%
1 602
 
7.8%
6 442
 
5.7%
C 385
 
5.0%
D 385
 
5.0%
F 385
 
5.0%
I 385
 
5.0%
3 285
 
3.7%
4 79
 
1.0%
Other values (4) 208
 
2.7%
Distinct333
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2009-12-24 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T14:27:39.765805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:40.083138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
279 
3
106 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 279
72.5%
3 106
 
27.5%

Length

2024-05-11T14:27:40.419241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:40.681328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 279
72.5%
3 106
 
27.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
279 
폐업
106 

Length

Max length5
Median length5
Mean length4.174026
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 279
72.5%
폐업 106
 
27.5%

Length

2024-05-11T14:27:40.966749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:41.171738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 279
72.5%
폐업 106
 
27.5%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
13
279 
3
106 

Length

Max length2
Median length2
Mean length1.7246753
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 279
72.5%
3 106
 
27.5%

Length

2024-05-11T14:27:41.362527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:41.531333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 279
72.5%
3 106
 
27.5%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업중
279 
폐업
106 

Length

Max length3
Median length3
Mean length2.7246753
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 279
72.5%
폐업 106
 
27.5%

Length

2024-05-11T14:27:41.714739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:41.923985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 279
72.5%
폐업 106
 
27.5%

폐업일자
Date

MISSING 

Distinct106
Distinct (%)100.0%
Missing279
Missing (%)72.5%
Memory size3.1 KiB
Minimum2011-02-22 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T14:27:42.183912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:42.593407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Date

MISSING 

Distinct106
Distinct (%)100.0%
Missing279
Missing (%)72.5%
Memory size3.1 KiB
Minimum2011-02-22 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T14:27:42.943802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:43.257386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct62
Distinct (%)83.8%
Missing311
Missing (%)80.8%
Memory size3.1 KiB
2024-05-11T14:27:43.685913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.810811
Min length8

Characters and Unicode

Total characters800
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

Unique58 ?
Unique (%)78.4%

Sample

1st row02-722-8254
2nd row02-862-7901
3rd row02-6264-0440
4th row02-1544-5931
5th row02-1670-4123
ValueCountFrequency (%)
1544-5931 8
 
10.8%
02-1670-4123 4
 
5.4%
02-3673-3400 2
 
2.7%
02-2204-6111 2
 
2.7%
02-763-1677 1
 
1.4%
02-725-5053 1
 
1.4%
02-735-7891 1
 
1.4%
02-723-7814 1
 
1.4%
2277-0808 1
 
1.4%
02-6369-5230 1
 
1.4%
Other values (52) 52
70.3%
2024-05-11T14:27:44.377540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 128
16.0%
0 111
13.9%
2 101
12.6%
3 84
10.5%
4 76
9.5%
7 73
9.1%
1 62
7.8%
6 60
7.5%
5 49
 
6.1%
9 29
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
84.0%
Dash Punctuation 128
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
16.5%
2 101
15.0%
3 84
12.5%
4 76
11.3%
7 73
10.9%
1 62
9.2%
6 60
8.9%
5 49
7.3%
9 29
 
4.3%
8 27
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 128
16.0%
0 111
13.9%
2 101
12.6%
3 84
10.5%
4 76
9.5%
7 73
9.1%
1 62
7.8%
6 60
7.5%
5 49
 
6.1%
9 29
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 128
16.0%
0 111
13.9%
2 101
12.6%
3 84
10.5%
4 76
9.5%
7 73
9.1%
1 62
7.8%
6 60
7.5%
5 49
 
6.1%
9 29
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct28
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
314 
110800
 
13
110801
 
9
110260
 
8
110380
 
5
Other values (23)
36 

Length

Max length7
Median length4
Mean length4.3714286
Min length4

Unique

Unique15 ?
Unique (%)3.9%

Sample

1st row<NA>
2nd row<NA>
3rd row110-043
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 314
81.6%
110800 13
 
3.4%
110801 9
 
2.3%
110260 8
 
2.1%
110380 5
 
1.3%
110190 4
 
1.0%
110360 3
 
0.8%
110230 3
 
0.8%
110340 3
 
0.8%
110805 2
 
0.5%
Other values (18) 21
 
5.5%

Length

2024-05-11T14:27:44.665357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 314
81.6%
110800 13
 
3.4%
110801 9
 
2.3%
110260 8
 
2.1%
110380 5
 
1.3%
110190 4
 
1.0%
110360 3
 
0.8%
110230 3
 
0.8%
110340 3
 
0.8%
110521 2
 
0.5%
Other values (18) 21
 
5.5%
Distinct363
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T14:27:45.424468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.116883
Min length15

Characters and Unicode

Total characters7360
Distinct characters125
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)89.6%

Sample

1st row서울특별시 종로구 구기동 132-8 힐탑빌라
2nd row서울특별시 종로구 누하동 103
3rd row서울특별시 종로구 통인동 101번지
4th row서울특별시 종로구 통의동 7-14
5th row서울특별시 은평구 진관동 193-14
ValueCountFrequency (%)
서울특별시 385
24.5%
종로구 320
20.4%
계동 69
 
4.4%
가회동 51
 
3.2%
은평구 31
 
2.0%
진관동 30
 
1.9%
체부동 28
 
1.8%
누하동 26
 
1.7%
성북구 19
 
1.2%
통인동 15
 
1.0%
Other values (437) 598
38.0%
2024-05-11T14:27:46.364965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
16.1%
1 396
 
5.4%
395
 
5.4%
387
 
5.3%
387
 
5.3%
386
 
5.2%
385
 
5.2%
385
 
5.2%
385
 
5.2%
322
 
4.4%
Other values (115) 2744
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4489
61.0%
Decimal Number 1404
 
19.1%
Space Separator 1188
 
16.1%
Dash Punctuation 279
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
395
 
8.8%
387
 
8.6%
387
 
8.6%
386
 
8.6%
385
 
8.6%
385
 
8.6%
385
 
8.6%
322
 
7.2%
321
 
7.2%
125
 
2.8%
Other values (103) 1011
22.5%
Decimal Number
ValueCountFrequency (%)
1 396
28.2%
2 182
13.0%
3 165
11.8%
5 126
 
9.0%
9 100
 
7.1%
4 99
 
7.1%
6 96
 
6.8%
7 89
 
6.3%
0 82
 
5.8%
8 69
 
4.9%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4489
61.0%
Common 2871
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
395
 
8.8%
387
 
8.6%
387
 
8.6%
386
 
8.6%
385
 
8.6%
385
 
8.6%
385
 
8.6%
322
 
7.2%
321
 
7.2%
125
 
2.8%
Other values (103) 1011
22.5%
Common
ValueCountFrequency (%)
1188
41.4%
1 396
 
13.8%
- 279
 
9.7%
2 182
 
6.3%
3 165
 
5.7%
5 126
 
4.4%
9 100
 
3.5%
4 99
 
3.4%
6 96
 
3.3%
7 89
 
3.1%
Other values (2) 151
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4489
61.0%
ASCII 2871
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
41.4%
1 396
 
13.8%
- 279
 
9.7%
2 182
 
6.3%
3 165
 
5.7%
5 126
 
4.4%
9 100
 
3.5%
4 99
 
3.4%
6 96
 
3.3%
7 89
 
3.1%
Other values (2) 151
 
5.3%
Hangul
ValueCountFrequency (%)
395
 
8.8%
387
 
8.6%
387
 
8.6%
386
 
8.6%
385
 
8.6%
385
 
8.6%
385
 
8.6%
322
 
7.2%
321
 
7.2%
125
 
2.8%
Other values (103) 1011
22.5%

도로명주소
Text

MISSING 

Distinct309
Distinct (%)89.6%
Missing40
Missing (%)10.4%
Memory size3.1 KiB
2024-05-11T14:27:47.078025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.075362
Min length21

Characters and Unicode

Total characters8996
Distinct characters160
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)81.7%

Sample

1st row서울특별시 종로구 진흥로21길 13, 지층 101호 (구기동, 힐탑빌라)
2nd row서울특별시 종로구 필운대로5가길 11-4 (누하동)
3rd row서울특별시 종로구 효자로7길 7-3 (통의동)
4th row서울특별시 은평구 연서로50길 7-10, 인휴당 (진관동)
5th row서울특별시 종로구 자하문로5가길 17-7 (체부동)
ValueCountFrequency (%)
서울특별시 345
19.6%
종로구 290
 
16.5%
계동 65
 
3.7%
가회동 47
 
2.7%
계동길 35
 
2.0%
체부동 26
 
1.5%
누하동 24
 
1.4%
은평구 23
 
1.3%
진관동 22
 
1.3%
성북구 18
 
1.0%
Other values (440) 862
49.1%
2024-05-11T14:27:48.077352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1413
 
15.7%
551
 
6.1%
1 408
 
4.5%
404
 
4.5%
372
 
4.1%
348
 
3.9%
346
 
3.8%
346
 
3.8%
) 345
 
3.8%
( 345
 
3.8%
Other values (150) 4118
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5251
58.4%
Space Separator 1413
 
15.7%
Decimal Number 1371
 
15.2%
Close Punctuation 345
 
3.8%
Open Punctuation 345
 
3.8%
Dash Punctuation 242
 
2.7%
Other Punctuation 28
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
551
 
10.5%
404
 
7.7%
372
 
7.1%
348
 
6.6%
346
 
6.6%
346
 
6.6%
345
 
6.6%
345
 
6.6%
301
 
5.7%
295
 
5.6%
Other values (134) 1598
30.4%
Decimal Number
ValueCountFrequency (%)
1 408
29.8%
2 168
12.3%
5 131
 
9.6%
3 125
 
9.1%
4 116
 
8.5%
6 106
 
7.7%
7 98
 
7.1%
0 77
 
5.6%
9 75
 
5.5%
8 67
 
4.9%
Space Separator
ValueCountFrequency (%)
1413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5251
58.4%
Common 3744
41.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
551
 
10.5%
404
 
7.7%
372
 
7.1%
348
 
6.6%
346
 
6.6%
346
 
6.6%
345
 
6.6%
345
 
6.6%
301
 
5.7%
295
 
5.6%
Other values (134) 1598
30.4%
Common
ValueCountFrequency (%)
1413
37.7%
1 408
 
10.9%
) 345
 
9.2%
( 345
 
9.2%
- 242
 
6.5%
2 168
 
4.5%
5 131
 
3.5%
3 125
 
3.3%
4 116
 
3.1%
6 106
 
2.8%
Other values (5) 345
 
9.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5251
58.4%
ASCII 3745
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1413
37.7%
1 408
 
10.9%
) 345
 
9.2%
( 345
 
9.2%
- 242
 
6.5%
2 168
 
4.5%
5 131
 
3.5%
3 125
 
3.3%
4 116
 
3.1%
6 106
 
2.8%
Other values (6) 346
 
9.2%
Hangul
ValueCountFrequency (%)
551
 
10.5%
404
 
7.7%
372
 
7.1%
348
 
6.6%
346
 
6.6%
346
 
6.6%
345
 
6.6%
345
 
6.6%
301
 
5.7%
295
 
5.6%
Other values (134) 1598
30.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)25.1%
Missing70
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean9004.8063
Minimum2566
Maximum142090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:27:48.300842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2566
5-th percentile2843
Q13040
median3055
Q33062
95-th percentile110120.7
Maximum142090
Range139524
Interquartile range (IQR)22

Descriptive statistics

Standard deviation24806.642
Coefficient of variation (CV)2.7548224
Kurtosis14.267243
Mean9004.8063
Median Absolute Deviation (MAD)14
Skewness4.0030736
Sum2836514
Variance6.1536951 × 108
MonotonicityNot monotonic
2024-05-11T14:27:48.544039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3057 31
 
8.1%
3056 29
 
7.5%
3052 23
 
6.0%
3308 19
 
4.9%
3040 19
 
4.9%
3041 16
 
4.2%
3134 11
 
2.9%
3039 10
 
2.6%
3053 9
 
2.3%
3036 9
 
2.3%
Other values (69) 139
36.1%
(Missing) 70
18.2%
ValueCountFrequency (%)
2566 1
 
0.3%
2577 1
 
0.3%
2580 2
0.5%
2594 1
 
0.3%
2809 1
 
0.3%
2822 1
 
0.3%
2829 1
 
0.3%
2832 1
 
0.3%
2834 3
0.8%
2835 1
 
0.3%
ValueCountFrequency (%)
142090 1
 
0.3%
110806 1
 
0.3%
110805 1
 
0.3%
110801 3
0.8%
110800 4
1.0%
110521 1
 
0.3%
110380 2
0.5%
110360 1
 
0.3%
110220 1
 
0.3%
110190 1
 
0.3%
Distinct372
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T14:27:49.038803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length6.5012987
Min length2

Characters and Unicode

Total characters2503
Distinct characters348
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)93.5%

Sample

1st row건교의 숲
2nd row클래식 고택
3rd row서림재
4th row영추 스테이
5th row인휴당
ValueCountFrequency (%)
게스트하우스 36
 
5.9%
바이 32
 
5.2%
버틀러리 31
 
5.1%
한옥 26
 
4.2%
북촌 10
 
1.6%
스테이 8
 
1.3%
하우스 6
 
1.0%
이화한옥 5
 
0.8%
4
 
0.7%
노스텔지어 4
 
0.7%
Other values (414) 450
73.5%
2024-05-11T14:27:49.618983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
9.1%
176
 
7.0%
94
 
3.8%
93
 
3.7%
85
 
3.4%
74
 
3.0%
69
 
2.8%
64
 
2.6%
58
 
2.3%
58
 
2.3%
Other values (338) 1505
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2070
82.7%
Space Separator 227
 
9.1%
Lowercase Letter 79
 
3.2%
Decimal Number 53
 
2.1%
Uppercase Letter 33
 
1.3%
Open Punctuation 16
 
0.6%
Close Punctuation 16
 
0.6%
Other Punctuation 8
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
8.5%
94
 
4.5%
93
 
4.5%
85
 
4.1%
74
 
3.6%
69
 
3.3%
64
 
3.1%
58
 
2.8%
58
 
2.8%
50
 
2.4%
Other values (287) 1249
60.3%
Lowercase Letter
ValueCountFrequency (%)
a 11
13.9%
o 10
12.7%
n 10
12.7%
e 9
11.4%
k 8
10.1%
i 5
 
6.3%
l 4
 
5.1%
t 3
 
3.8%
g 3
 
3.8%
y 3
 
3.8%
Other values (9) 13
16.5%
Uppercase Letter
ValueCountFrequency (%)
H 5
15.2%
K 3
9.1%
N 3
9.1%
S 3
9.1%
A 3
9.1%
J 2
 
6.1%
M 2
 
6.1%
I 2
 
6.1%
B 2
 
6.1%
F 2
 
6.1%
Other values (5) 6
18.2%
Decimal Number
ValueCountFrequency (%)
2 16
30.2%
1 11
20.8%
3 7
13.2%
9 6
 
11.3%
4 5
 
9.4%
0 5
 
9.4%
8 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 3
37.5%
' 2
25.0%
, 2
25.0%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2052
82.0%
Common 321
 
12.8%
Latin 112
 
4.5%
Han 18
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
176
 
8.6%
94
 
4.6%
93
 
4.5%
85
 
4.1%
74
 
3.6%
69
 
3.4%
64
 
3.1%
58
 
2.8%
58
 
2.8%
50
 
2.4%
Other values (270) 1231
60.0%
Latin
ValueCountFrequency (%)
a 11
 
9.8%
o 10
 
8.9%
n 10
 
8.9%
e 9
 
8.0%
k 8
 
7.1%
i 5
 
4.5%
H 5
 
4.5%
l 4
 
3.6%
K 3
 
2.7%
t 3
 
2.7%
Other values (24) 44
39.3%
Common
ValueCountFrequency (%)
227
70.7%
( 16
 
5.0%
2 16
 
5.0%
) 16
 
5.0%
1 11
 
3.4%
3 7
 
2.2%
9 6
 
1.9%
4 5
 
1.6%
0 5
 
1.6%
: 3
 
0.9%
Other values (7) 9
 
2.8%
Han
ValueCountFrequency (%)
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (7) 7
38.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2052
82.0%
ASCII 433
 
17.3%
CJK 18
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
52.4%
( 16
 
3.7%
2 16
 
3.7%
) 16
 
3.7%
1 11
 
2.5%
a 11
 
2.5%
o 10
 
2.3%
n 10
 
2.3%
e 9
 
2.1%
k 8
 
1.8%
Other values (41) 99
22.9%
Hangul
ValueCountFrequency (%)
176
 
8.6%
94
 
4.6%
93
 
4.5%
85
 
4.1%
74
 
3.6%
69
 
3.4%
64
 
3.1%
58
 
2.8%
58
 
2.8%
50
 
2.4%
Other values (270) 1231
60.0%
CJK
ValueCountFrequency (%)
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (7) 7
38.9%

최종수정일자
Date

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2011-02-23 09:49:54
Maximum2024-05-07 12:27:12
2024-05-11T14:27:49.872464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:50.103723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
U
199 
I
185 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
U 199
51.7%
I 185
48.1%
D 1
 
0.3%

Length

2024-05-11T14:27:50.366535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:50.544222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 199
51.7%
i 185
48.1%
d 1
 
0.3%
Distinct190
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:27:50.714078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:27:50.940380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct330
Distinct (%)86.2%
Missing2
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean198206.55
Minimum190856.17
Maximum211738.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:27:51.146183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190856.17
5-th percentile194538.93
Q1197323.51
median198528.4
Q3198809.23
95-th percentile200676.32
Maximum211738.93
Range20882.754
Interquartile range (IQR)1485.7213

Descriptive statistics

Standard deviation2019.0523
Coefficient of variation (CV)0.010186607
Kurtosis9.8743062
Mean198206.55
Median Absolute Deviation (MAD)630.83451
Skewness1.1417067
Sum75913107
Variance4076572.1
MonotonicityNot monotonic
2024-05-11T14:27:51.330985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198783.79724797 5
 
1.3%
199171.680375348 4
 
1.0%
199172.261259753 4
 
1.0%
198837.478273211 4
 
1.0%
198936.639596841 3
 
0.8%
198562.704313617 3
 
0.8%
199159.22991115 3
 
0.8%
197103.617179992 3
 
0.8%
198259.098350522 3
 
0.8%
198224.704932444 2
 
0.5%
Other values (320) 349
90.6%
ValueCountFrequency (%)
190856.17127591 1
0.3%
193262.704369 1
0.3%
193299.496761968 1
0.3%
193465.5273 1
0.3%
193465.960291 1
0.3%
193469.923256 1
0.3%
193474.455904 1
0.3%
193503.428527 1
0.3%
193504.587414512 1
0.3%
193511.773649 1
0.3%
ValueCountFrequency (%)
211738.925367922 1
0.3%
209786.259678581 1
0.3%
206808.576422948 2
0.5%
204206.18156599 1
0.3%
203221.531209046 1
0.3%
202851.912463523 1
0.3%
202596.467628036 1
0.3%
202278.706626887 1
0.3%
202275.414383178 1
0.3%
201908.292582995 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct330
Distinct (%)86.2%
Missing2
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean453580.92
Minimum444961.74
Maximum463160.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:27:51.532779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444961.74
5-th percentile452408.23
Q1452887.93
median453180.21
Q3453428.25
95-th percentile459134.53
Maximum463160.59
Range18198.851
Interquartile range (IQR)540.32159

Descriptive statistics

Standard deviation1994.9435
Coefficient of variation (CV)0.0043982086
Kurtosis6.63621
Mean453580.92
Median Absolute Deviation (MAD)260.84666
Skewness1.6595701
Sum1.7372149 × 108
Variance3979799.5
MonotonicityNot monotonic
2024-05-11T14:27:52.060925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453232.209335162 5
 
1.3%
452452.323673795 4
 
1.0%
452698.071877083 4
 
1.0%
453434.800935486 4
 
1.0%
452666.752884073 3
 
0.8%
453088.711928192 3
 
0.8%
452698.562949121 3
 
0.8%
453073.627903687 3
 
0.8%
452860.189907163 3
 
0.8%
453457.754889299 2
 
0.5%
Other values (320) 349
90.6%
ValueCountFrequency (%)
444961.735865156 1
0.3%
445630.402575775 1
0.3%
446956.826234466 1
0.3%
449286.111299081 2
0.5%
449396.05799662 2
0.5%
449525.793411368 1
0.3%
450657.120988168 1
0.3%
452236.731053085 1
0.3%
452286.426630292 1
0.3%
452291.324287912 1
0.3%
ValueCountFrequency (%)
463160.587334505 1
0.3%
460101.0 1
0.3%
460093.446861386 1
0.3%
460000.790922267 1
0.3%
459936.299713821 1
0.3%
459907.49994843 1
0.3%
459895.880394877 1
0.3%
459885.629695619 1
0.3%
459869.331819802 1
0.3%
459869.207703595 1
0.3%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
224 
한옥체험업
161 

Length

Max length5
Median length4
Mean length4.4181818
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> 224
58.2%
한옥체험업 161
41.8%

Length

2024-05-11T14:27:52.341994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:52.550845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
58.2%
한옥체험업 161
41.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
306 
일반주거지역
48 
주거지역
 
18
일반상업지역
 
6
전용주거지역
 
5
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.3116883
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 306
79.5%
일반주거지역 48
 
12.5%
주거지역 18
 
4.7%
일반상업지역 6
 
1.6%
전용주거지역 5
 
1.3%
상업지역 1
 
0.3%
자연녹지지역 1
 
0.3%

Length

2024-05-11T14:27:52.787880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:53.018250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 306
79.5%
일반주거지역 48
 
12.5%
주거지역 18
 
4.7%
일반상업지역 6
 
1.6%
전용주거지역 5
 
1.3%
상업지역 1
 
0.3%
자연녹지지역 1
 
0.3%

총층수
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
293 
1
66 
0
 
19
2
 
7

Length

Max length4
Median length4
Mean length3.2831169
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
76.1%
1 66
 
17.1%
0 19
 
4.9%
2 7
 
1.8%

Length

2024-05-11T14:27:53.202441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:53.366708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
76.1%
1 66
 
17.1%
0 19
 
4.9%
2 7
 
1.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
323 
학교정화(상대)
42 
기타
 
9
학교정화(절대)
 
7
주택가주변
 
3

Length

Max length8
Median length4
Mean length4.4805195
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 323
83.9%
학교정화(상대) 42
 
10.9%
기타 9
 
2.3%
학교정화(절대) 7
 
1.8%
주택가주변 3
 
0.8%
유흥업소밀집지역 1
 
0.3%

Length

2024-05-11T14:27:53.568103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:53.769026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
83.9%
학교정화(상대 42
 
10.9%
기타 9
 
2.3%
학교정화(절대 7
 
1.8%
주택가주변 3
 
0.8%
유흥업소밀집지역 1
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

보험기관명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing380
Missing (%)98.7%
Memory size3.1 KiB
2024-05-11T14:27:53.945786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.8
Min length4

Characters and Unicode

Total characters24
Distinct characters10
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row객실 1
2nd row객실 4
3rd row객실 1
4th row1실(2명)
5th row1실(5명)
ValueCountFrequency (%)
객실 3
37.5%
1 2
25.0%
4 1
 
12.5%
1실(2명 1
 
12.5%
1실(5명 1
 
12.5%
2024-05-11T14:27:54.403126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
20.8%
1 4
16.7%
3
12.5%
3
12.5%
( 2
 
8.3%
2
 
8.3%
) 2
 
8.3%
4 1
 
4.2%
2 1
 
4.2%
5 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
41.7%
Decimal Number 7
29.2%
Space Separator 3
 
12.5%
Open Punctuation 2
 
8.3%
Close Punctuation 2
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
57.1%
4 1
 
14.3%
2 1
 
14.3%
5 1
 
14.3%
Other Letter
ValueCountFrequency (%)
5
50.0%
3
30.0%
2
 
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
58.3%
Hangul 10
41.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
28.6%
3
21.4%
( 2
14.3%
) 2
14.3%
4 1
 
7.1%
2 1
 
7.1%
5 1
 
7.1%
Hangul
ValueCountFrequency (%)
5
50.0%
3
30.0%
2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
58.3%
Hangul 10
41.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
50.0%
3
30.0%
2
 
20.0%
ASCII
ValueCountFrequency (%)
1 4
28.6%
3
21.4%
( 2
14.3%
) 2
14.3%
4 1
 
7.1%
2 1
 
7.1%
5 1
 
7.1%

건물용도명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
285 
단독주택
89 
근린생활시설
 
11

Length

Max length6
Median length4
Mean length4.0571429
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> 285
74.0%
단독주택 89
 
23.1%
근린생활시설 11
 
2.9%

Length

2024-05-11T14:27:54.679853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:54.852148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 285
74.0%
단독주택 89
 
23.1%
근린생활시설 11
 
2.9%

지상층수
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
272 
1
92 
0
 
19
2
 
2

Length

Max length4
Median length4
Mean length3.1194805
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 272
70.6%
1 92
 
23.9%
0 19
 
4.9%
2 2
 
0.5%

Length

2024-05-11T14:27:55.072881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:55.257187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 272
70.6%
1 92
 
23.9%
0 19
 
4.9%
2 2
 
0.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
343 
0
 
33
1
 
9

Length

Max length4
Median length4
Mean length3.6727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 343
89.1%
0 33
 
8.6%
1 9
 
2.3%

Length

2024-05-11T14:27:55.508203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:55.688714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 343
89.1%
0 33
 
8.6%
1 9
 
2.3%

객실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
355 
0
 
20
1
 
4
3
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.7662338
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 355
92.2%
0 20
 
5.2%
1 4
 
1.0%
3 4
 
1.0%
2 1
 
0.3%
4 1
 
0.3%

Length

2024-05-11T14:27:55.888798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:56.097023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 355
92.2%
0 20
 
5.2%
1 4
 
1.0%
3 4
 
1.0%
2 1
 
0.3%
4 1
 
0.3%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)21.4%
Missing357
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean8.5714286
Minimum0
Maximum75
Zeros23
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:27:56.299762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile56
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.322271
Coefficient of variation (CV)2.3709316
Kurtosis4.8346126
Mean8.5714286
Median Absolute Deviation (MAD)0
Skewness2.378875
Sum240
Variance412.99471
MonotonicityNot monotonic
2024-05-11T14:27:56.505550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
 
6.0%
43 1
 
0.3%
75 1
 
0.3%
33 1
 
0.3%
63 1
 
0.3%
26 1
 
0.3%
(Missing) 357
92.7%
ValueCountFrequency (%)
0 23
6.0%
26 1
 
0.3%
33 1
 
0.3%
43 1
 
0.3%
63 1
 
0.3%
75 1
 
0.3%
ValueCountFrequency (%)
75 1
 
0.3%
63 1
 
0.3%
43 1
 
0.3%
33 1
 
0.3%
26 1
 
0.3%
0 23
6.0%

영문상호명
Text

MISSING 

Distinct66
Distinct (%)100.0%
Missing319
Missing (%)82.9%
Memory size3.1 KiB
2024-05-11T14:27:57.024565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length21
Mean length15.272727
Min length3

Characters and Unicode

Total characters1008
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st rowFlower garden
2nd rowSeochonyoungrakjae
3rd rowNUILE STAY
4th rowa usual day
5th rowAnalog Hanok
ValueCountFrequency (%)
guesthouse 9
 
6.3%
by 9
 
6.3%
hanok 9
 
6.3%
butler:lee 6
 
4.2%
house 5
 
3.5%
bukchon 4
 
2.8%
guest 3
 
2.1%
mini 2
 
1.4%
hue 2
 
1.4%
dal 2
 
1.4%
Other values (85) 92
64.3%
2024-05-11T14:27:57.709363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 86
 
8.5%
77
 
7.6%
a 68
 
6.7%
n 67
 
6.6%
e 67
 
6.6%
u 58
 
5.8%
s 34
 
3.4%
g 33
 
3.3%
l 32
 
3.2%
h 32
 
3.2%
Other values (42) 454
45.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 646
64.1%
Uppercase Letter 274
27.2%
Space Separator 77
 
7.6%
Other Punctuation 6
 
0.6%
Decimal Number 4
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 86
13.3%
a 68
10.5%
n 67
10.4%
e 67
10.4%
u 58
9.0%
s 34
 
5.3%
g 33
 
5.1%
l 32
 
5.0%
h 32
 
5.0%
i 27
 
4.2%
Other values (13) 142
22.0%
Uppercase Letter
ValueCountFrequency (%)
H 26
 
9.5%
E 25
 
9.1%
S 24
 
8.8%
U 20
 
7.3%
G 19
 
6.9%
N 17
 
6.2%
O 17
 
6.2%
B 16
 
5.8%
A 14
 
5.1%
D 13
 
4.7%
Other values (13) 83
30.3%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
1 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Other Punctuation
ValueCountFrequency (%)
: 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 920
91.3%
Common 88
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 86
 
9.3%
a 68
 
7.4%
n 67
 
7.3%
e 67
 
7.3%
u 58
 
6.3%
s 34
 
3.7%
g 33
 
3.6%
l 32
 
3.5%
h 32
 
3.5%
i 27
 
2.9%
Other values (36) 416
45.2%
Common
ValueCountFrequency (%)
77
87.5%
: 6
 
6.8%
9 2
 
2.3%
1 1
 
1.1%
3 1
 
1.1%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 86
 
8.5%
77
 
7.6%
a 68
 
6.7%
n 67
 
6.6%
e 67
 
6.6%
u 58
 
5.8%
s 34
 
3.4%
g 33
 
3.3%
l 32
 
3.2%
h 32
 
3.2%
Other values (42) 454
45.0%

영문상호주소
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
319 
Traditional Korean housing experiencing business
56 
Korean Traditional housing experiencing business
 
3
A Hanok experience Industry
 
2
Traditional Korean housing experience business
 
2
Other values (2)
 
3

Length

Max length48
Median length4
Mean length11.25974
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 319
82.9%
Traditional Korean housing experiencing business 56
 
14.5%
Korean Traditional housing experiencing business 3
 
0.8%
A Hanok experience Industry 2
 
0.5%
Traditional Korean housing experience business 2
 
0.5%
A HANOK EXPERIENCE INDUSTRY 2
 
0.5%
A hanok experience Industry 1
 
0.3%

Length

2024-05-11T14:27:57.976576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:58.167316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 319
49.5%
traditional 61
 
9.5%
korean 61
 
9.5%
housing 61
 
9.5%
business 61
 
9.5%
experiencing 59
 
9.2%
experience 7
 
1.1%
a 5
 
0.8%
hanok 5
 
0.8%
industry 5
 
0.8%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:27:58.411112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:58.622535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:27:58.823064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:59.031358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:27:59.247130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:59.461478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:27:59.652985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:27:59.865637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:28:00.057516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:00.233687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

시설면적
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)74.0%
Missing239
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean91.220822
Minimum0
Maximum765.9
Zeros3
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:28:00.448390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.34
Q142.98
median66.145
Q3108.3475
95-th percentile206.44
Maximum765.9
Range765.9
Interquartile range (IQR)65.3675

Descriptive statistics

Standard deviation90.893152
Coefficient of variation (CV)0.99640795
Kurtosis23.784493
Mean91.220822
Median Absolute Deviation (MAD)26.545
Skewness4.0852545
Sum13318.24
Variance8261.5651
MonotonicityNot monotonic
2024-05-11T14:28:00.755387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.67 6
 
1.6%
42.98 5
 
1.3%
33.06 4
 
1.0%
64.93 3
 
0.8%
49.59 3
 
0.8%
0.0 3
 
0.8%
46.28 3
 
0.8%
45.55 3
 
0.8%
59.51 3
 
0.8%
103.39 3
 
0.8%
Other values (98) 110
28.6%
(Missing) 239
62.1%
ValueCountFrequency (%)
0.0 3
0.8%
16.53 2
0.5%
17.79 1
 
0.3%
19.83 2
0.5%
21.87 2
0.5%
21.92 1
 
0.3%
23.14 1
 
0.3%
25.49 1
 
0.3%
26.0 1
 
0.3%
29.75 2
0.5%
ValueCountFrequency (%)
765.9 1
0.3%
509.0 1
0.3%
374.5 1
0.3%
345.41 2
0.5%
254.5 1
0.3%
214.9 1
0.3%
212.42 1
0.3%
188.5 1
0.3%
187.1 1
0.3%
185.1 1
0.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
361 
0
 
24

Length

Max length4
Median length4
Mean length3.812987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
93.8%
0 24
 
6.2%

Length

2024-05-11T14:28:01.019451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:01.221491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
93.8%
0 24
 
6.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)31.1%
Missing340
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.0933333 × 108
Minimum0
Maximum1 × 109
Zeros19
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:28:01.398902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q31 × 108
95-th percentile5 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation2.0558287 × 108
Coefficient of variation (CV)1.8803312
Kurtosis7.781082
Mean1.0933333 × 108
Median Absolute Deviation (MAD)10000000
Skewness2.6541033
Sum4.92 × 109
Variance4.2264318 × 1016
MonotonicityNot monotonic
2024-05-11T14:28:01.623379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 19
 
4.9%
100000000 6
 
1.6%
20000000 4
 
1.0%
50000000 2
 
0.5%
500000000 2
 
0.5%
10000000 2
 
0.5%
5000000 2
 
0.5%
410000000 2
 
0.5%
160000000 1
 
0.3%
250000000 1
 
0.3%
Other values (4) 4
 
1.0%
(Missing) 340
88.3%
ValueCountFrequency (%)
0 19
4.9%
5000000 2
 
0.5%
10000000 2
 
0.5%
20000000 4
 
1.0%
50000000 2
 
0.5%
80000000 1
 
0.3%
100000000 6
 
1.6%
160000000 1
 
0.3%
200000000 1
 
0.3%
250000000 1
 
0.3%
ValueCountFrequency (%)
1000000000 1
 
0.3%
600000000 1
 
0.3%
500000000 2
 
0.5%
410000000 2
 
0.5%
250000000 1
 
0.3%
200000000 1
 
0.3%
160000000 1
 
0.3%
100000000 6
1.6%
80000000 1
 
0.3%
50000000 2
 
0.5%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)58.2%
Missing239
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean91.267123
Minimum0
Maximum766
Zeros3
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T14:28:01.865382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.5
Q143
median66
Q3108
95-th percentile206.25
Maximum766
Range766
Interquartile range (IQR)65

Descriptive statistics

Standard deviation90.873561
Coefficient of variation (CV)0.99568779
Kurtosis23.811651
Mean91.267123
Median Absolute Deviation (MAD)27
Skewness4.0882153
Sum13325
Variance8258.004
MonotonicityNot monotonic
2024-05-11T14:28:02.182333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 8
 
2.1%
46 7
 
1.8%
43 6
 
1.6%
33 4
 
1.0%
73 4
 
1.0%
0 3
 
0.8%
103 3
 
0.8%
60 3
 
0.8%
22 3
 
0.8%
129 3
 
0.8%
Other values (75) 102
26.5%
(Missing) 239
62.1%
ValueCountFrequency (%)
0 3
0.8%
17 2
0.5%
18 1
 
0.3%
20 2
0.5%
22 3
0.8%
23 1
 
0.3%
25 1
 
0.3%
26 1
 
0.3%
30 2
0.5%
33 4
1.0%
ValueCountFrequency (%)
766 1
0.3%
509 1
0.3%
375 1
0.3%
345 2
0.5%
255 1
0.3%
215 1
0.3%
212 1
0.3%
189 1
0.3%
187 1
0.3%
185 1
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFI22622220230000162023-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 구기동 132-8 힐탑빌라서울특별시 종로구 진흥로21길 13, 지층 101호 (구기동, 힐탑빌라)3007건교의 숲2023-06-07 13:43:54I2022-12-06 00:09:00.0<NA>196238.292186456274.666603<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFI22622220230000082023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 누하동 103서울특별시 종로구 필운대로5가길 11-4 (누하동)3037클래식 고택2023-03-28 08:20:31I2022-12-02 21:00:00.0<NA>197114.760899453058.797701<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFI22622220150000132015-07-16<NA>3폐업3폐업2023-03-27<NA>2023-03-27<NA>02-722-8254<NA>110-043서울특별시 종로구 통인동 101번지<NA><NA>서림재2023-03-28 10:08:47U2022-12-02 21:00:00.0<NA>197346.924827453133.298882<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFI22622220230000092023-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 7-14서울특별시 종로구 효자로7길 7-3 (통의동)3044영추 스테이2023-04-10 13:30:25I2022-12-03 23:02:00.0<NA>197586.56342452945.821636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFI22622220230000012023-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-862-7901<NA><NA>서울특별시 은평구 진관동 193-14서울특별시 은평구 연서로50길 7-10, 인휴당 (진관동)3308인휴당2023-04-12 17:40:38I2022-12-03 23:04:00.0<NA>194564.698226459885.629696<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFI22622220230000132023-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 체부동 118-3서울특별시 종로구 자하문로5가길 17-7 (체부동)3040여은가 바이 버틀러리2023-05-26 17:54:09I2022-12-04 22:08:00.0<NA>197342.119937452867.343354<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFI22622220230000122023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 35-15서울특별시 종로구 북촌로11다길 3 (삼청동)3052고우헌 바이 버틀러리2023-05-26 09:05:42I2022-12-04 22:08:00.0<NA>198376.731244453323.924788<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFI22622220230000012023-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 60-37서울특별시 성북구 성북로 76-11 (성북동)2836사월 한옥2023-04-20 10:21:23U2022-12-03 22:03:00.0<NA>199926.95949454615.436212<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFI22622220230000022023-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동4가 96서울특별시 성북구 동소문로13가길 76-5 (동소문동4가)2832성북 은은한가2023-04-27 13:36:10I2022-12-03 22:09:00.0<NA>200727.083178454263.855974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFI22622220230000102023-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 계동 119-1서울특별시 종로구 계동길 53 (계동)3056서은재2023-05-01 08:59:56I2022-12-05 00:03:00.0<NA>198747.191514453041.843956<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
3753000000CDFI226222202200001020220502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-18 (운니동)3131비규헌 바이 버틀러리2022-05-02 11:19:52I2021-12-05 00:04:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3763110000CDFI226222202000000520201014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 194-4서울특별시 은평구 연서로50길 7 (진관동)3308소우주2022-05-30 16:13:55U2021-12-06 00:04:00.0<NA>193465.5273459159.90048<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3773000000CDFI226222202300000420230130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 체부동 165-2서울특별시 종로구 자하문로1다길 7 (체부동)3041더채 유휘2023-01-30 17:37:46I2022-12-02 00:01:00.0<NA>197369.788555452762.118619<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3783000000CDFI226222202200001120220502<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-5931<NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-18 (운니동)3131햇비재 바이 버틀러리2022-05-02 11:21:27I2021-12-05 00:04:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3793110000CDFI226222202200000320220506<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 211-27서울특별시 은평구 진관길 11-7 (진관동)3308생활서가2022-05-30 16:11:36U2021-12-06 00:04:00.0<NA>193898.194366459343.401072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3803000000CDFI226222202200001220220603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통인동 23서울특별시 종로구 필운대로6길 17-17 (통인동)3036진서재 바이 버틀러리2022-06-03 14:23:38I2021-12-06 00:08:00.0<NA>197278.534784453138.966233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3813110000CDFI22622220220000022022-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 190-5서울특별시 은평구 연서로50길 15 (진관동)3308담서제2023-07-31 17:04:36U2022-12-08 00:02:00.0<NA>194570.180482459792.276421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3823000000CDFI22622220140000032014-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-744-9200<NA><NA>서울특별시 종로구 가회동 192 청연재서울특별시 종로구 북촌로6길 13-2, 청연재 (가회동)3056클래식 고택 북촌2023-11-14 21:54:42U2022-10-31 23:06:00.0<NA>198663.87981453118.07116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3833110000CDFI22622220170000012017-07-24<NA>3폐업3폐업2023-12-05<NA>2023-12-05<NA><NA><NA><NA>서울특별시 은평구 진관동 9993-504서울특별시 은평구 진관길 21-3 (진관동)<NA>은평한옥'학산루'2023-12-04 13:27:45U2022-11-02 00:06:00.0<NA>194714.102858459936.299714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3843000000CDFI22622220110000082011-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 운니동 87-1서울특별시 종로구 삼일대로32길 31-16 (운니동)3131환의당 바이 버틀러리2023-11-14 21:40:10U2022-10-31 23:06:00.0<NA>198936.639597452666.752884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>