Overview

Dataset statistics

Number of variables60
Number of observations1358
Missing cells35927
Missing cells (%)44.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory687.1 KiB
Average record size in memory518.1 B

Variable types

Numeric8
Text7
DateTime6
Categorical20
Unsupported19

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-16021/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (98.9%)Imbalance
지역구분명 is highly imbalanced (84.9%)Imbalance
주변환경명 is highly imbalanced (83.2%)Imbalance
건물용도명 is highly imbalanced (76.0%)Imbalance
폐업일자 has 874 (64.4%) missing valuesMissing
휴업시작일자 has 1350 (99.4%) missing valuesMissing
휴업종료일자 has 1350 (99.4%) missing valuesMissing
재개업일자 has 1358 (100.0%) missing valuesMissing
전화번호 has 661 (48.7%) missing valuesMissing
소재지면적 has 1358 (100.0%) missing valuesMissing
소재지우편번호 has 363 (26.7%) missing valuesMissing
도로명주소 has 217 (16.0%) missing valuesMissing
도로명우편번호 has 815 (60.0%) missing valuesMissing
업태구분명 has 1358 (100.0%) missing valuesMissing
좌표정보(X) has 134 (9.9%) missing valuesMissing
좌표정보(Y) has 134 (9.9%) missing valuesMissing
총층수 has 865 (63.7%) missing valuesMissing
제작취급품목내용 has 1358 (100.0%) missing valuesMissing
보험기관명 has 1358 (100.0%) missing valuesMissing
지상층수 has 875 (64.4%) missing valuesMissing
지하층수 has 865 (63.7%) missing valuesMissing
영문상호명 has 1358 (100.0%) missing valuesMissing
영문상호주소 has 1358 (100.0%) missing valuesMissing
선박제원 has 1358 (100.0%) missing valuesMissing
기념품종류 has 1358 (100.0%) missing valuesMissing
시설면적 has 811 (59.7%) missing valuesMissing
놀이기구수내역 has 1358 (100.0%) missing valuesMissing
방송시설유무 has 1358 (100.0%) missing valuesMissing
발전시설유무 has 1358 (100.0%) missing valuesMissing
의무실유무 has 1358 (100.0%) missing valuesMissing
안내소유무 has 1358 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1358 (100.0%) missing valuesMissing
기획여행보험종료일자 has 1358 (100.0%) missing valuesMissing
보험시작일자 has 1358 (100.0%) missing valuesMissing
보험종료일자 has 1358 (100.0%) missing valuesMissing
부대시설내역 has 1358 (100.0%) missing valuesMissing
시설규모 has 811 (59.7%) missing valuesMissing
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
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 356 (26.2%) zerosZeros
지상층수 has 359 (26.4%) zerosZeros
지하층수 has 356 (26.2%) zerosZeros
시설면적 has 514 (37.8%) zerosZeros
시설규모 has 514 (37.8%) zerosZeros

Reproduction

Analysis started2024-05-11 07:19:55.104066
Analysis finished2024-05-11 07:19:57.834811
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3087179.7
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:19:58.039502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13010000
median3105000
Q33160000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation81185.478
Coefficient of variation (CV)0.02629762
Kurtosis-1.3291572
Mean3087179.7
Median Absolute Deviation (MAD)95000
Skewness0.37059372
Sum4.19239 × 109
Variance6.5910819 × 109
MonotonicityNot monotonic
2024-05-11T07:19:58.470419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3010000 293
21.6%
3000000 254
18.7%
3110000 214
15.8%
3190000 104
 
7.7%
3130000 80
 
5.9%
3220000 61
 
4.5%
3210000 57
 
4.2%
3040000 32
 
2.4%
3180000 30
 
2.2%
3160000 30
 
2.2%
Other values (15) 203
14.9%
ValueCountFrequency (%)
3000000 254
18.7%
3010000 293
21.6%
3020000 24
 
1.8%
3030000 11
 
0.8%
3040000 32
 
2.4%
3050000 14
 
1.0%
3060000 12
 
0.9%
3070000 16
 
1.2%
3080000 6
 
0.4%
3090000 6
 
0.4%
ValueCountFrequency (%)
3240000 22
 
1.6%
3230000 30
 
2.2%
3220000 61
4.5%
3210000 57
4.2%
3200000 3
 
0.2%
3190000 104
7.7%
3180000 30
 
2.2%
3170000 9
 
0.7%
3160000 30
 
2.2%
3150000 7
 
0.5%
Distinct648
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-11T07:19:58.933983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters27160
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

Unique406 ?
Unique (%)29.9%

Sample

1st rowCDFE1230002009000002
2nd rowCDFE1230002007000002
3rd rowCDFE1230002020000001
4th rowCDFE1230002017000002
5th rowCDFE1230002012000001
ValueCountFrequency (%)
cdfe1230002022000001 14
 
1.0%
cdfe1230002012000001 13
 
1.0%
cdfe1230002017000001 13
 
1.0%
cdfe1230002002000001 13
 
1.0%
cdfe1230002018000001 13
 
1.0%
cdfe1230002015000001 13
 
1.0%
cdfe1230002020000001 13
 
1.0%
cdfe1230002019000001 12
 
0.9%
cdfe1230002023000001 12
 
0.9%
cdfe1230002009000001 11
 
0.8%
Other values (638) 1231
90.6%
2024-05-11T07:20:00.056371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11777
43.4%
1 3070
 
11.3%
2 2707
 
10.0%
3 1710
 
6.3%
C 1358
 
5.0%
D 1358
 
5.0%
F 1358
 
5.0%
E 1358
 
5.0%
9 1253
 
4.6%
4 288
 
1.1%
Other values (4) 923
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21728
80.0%
Uppercase Letter 5432
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11777
54.2%
1 3070
 
14.1%
2 2707
 
12.5%
3 1710
 
7.9%
9 1253
 
5.8%
4 288
 
1.3%
8 286
 
1.3%
5 245
 
1.1%
6 207
 
1.0%
7 185
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1358
25.0%
D 1358
25.0%
F 1358
25.0%
E 1358
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21728
80.0%
Latin 5432
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11777
54.2%
1 3070
 
14.1%
2 2707
 
12.5%
3 1710
 
7.9%
9 1253
 
5.8%
4 288
 
1.3%
8 286
 
1.3%
5 245
 
1.1%
6 207
 
1.0%
7 185
 
0.9%
Latin
ValueCountFrequency (%)
C 1358
25.0%
D 1358
25.0%
F 1358
25.0%
E 1358
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11777
43.4%
1 3070
 
11.3%
2 2707
 
10.0%
3 1710
 
6.3%
C 1358
 
5.0%
D 1358
 
5.0%
F 1358
 
5.0%
E 1358
 
5.0%
9 1253
 
4.6%
4 288
 
1.1%
Other values (4) 923
 
3.4%
Distinct1077
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum1956-04-21 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T07:20:00.455621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:00.957965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1356 
20120726
 
1
20211001
 
1

Length

Max length8
Median length4
Mean length4.005891
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1356
99.9%
20120726 1
 
0.1%
20211001 1
 
0.1%

Length

2024-05-11T07:20:01.539815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:01.887214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1356
99.9%
20120726 1
 
0.1%
20211001 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
1
844 
3
278 
4
228 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 844
62.2%
3 278
 
20.5%
4 228
 
16.8%
2 8
 
0.6%

Length

2024-05-11T07:20:02.401887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:02.707003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 844
62.2%
3 278
 
20.5%
4 228
 
16.8%
2 8
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
영업/정상
844 
폐업
278 
취소/말소/만료/정지/중지
228 
휴업
 
8

Length

Max length14
Median length5
Mean length5.8792342
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 844
62.2%
폐업 278
 
20.5%
취소/말소/만료/정지/중지 228
 
16.8%
휴업 8
 
0.6%

Length

2024-05-11T07:20:03.147467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:03.536794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 844
62.2%
폐업 278
 
20.5%
취소/말소/만료/정지/중지 228
 
16.8%
휴업 8
 
0.6%
Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
13
831 
03
277 
35
213 
31
 
14
BBBB
 
13
Other values (3)
 
10

Length

Max length4
Median length2
Mean length2.0191458
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row03
5th row13

Common Values

ValueCountFrequency (%)
13 831
61.2%
03 277
 
20.4%
35 213
 
15.7%
31 14
 
1.0%
BBBB 13
 
1.0%
02 8
 
0.6%
34 1
 
0.1%
30 1
 
0.1%

Length

2024-05-11T07:20:04.118759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:04.519765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 831
61.2%
03 277
 
20.4%
35 213
 
15.7%
31 14
 
1.0%
bbbb 13
 
1.0%
02 8
 
0.6%
34 1
 
0.1%
30 1
 
0.1%
Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
영업중
831 
폐업
277 
직권말소
213 
등록취소
 
14
<NA>
 
13
Other values (3)
 
10

Length

Max length5
Median length3
Mean length2.9690722
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 831
61.2%
폐업 277
 
20.4%
직권말소 213
 
15.7%
등록취소 14
 
1.0%
<NA> 13
 
1.0%
휴업 8
 
0.6%
영업장폐쇄 1
 
0.1%
허가취소 1
 
0.1%

Length

2024-05-11T07:20:05.035919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:05.539979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 831
61.2%
폐업 277
 
20.4%
직권말소 213
 
15.7%
등록취소 14
 
1.0%
na 13
 
1.0%
휴업 8
 
0.6%
영업장폐쇄 1
 
0.1%
허가취소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct235
Distinct (%)48.6%
Missing874
Missing (%)64.4%
Memory size10.7 KiB
Minimum1996-09-05 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T07:20:06.146984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:06.785359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)75.0%
Missing1350
Missing (%)99.4%
Memory size10.7 KiB
Minimum2022-11-01 00:00:00
Maximum2023-11-20 00:00:00
2024-05-11T07:20:07.368284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:07.839571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)25.0%
Missing1350
Missing (%)99.4%
Memory size10.7 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T07:20:08.315333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:08.691498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

전화번호
Text

MISSING 

Distinct566
Distinct (%)81.2%
Missing661
Missing (%)48.7%
Memory size10.7 KiB
2024-05-11T07:20:09.491563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length10.350072
Min length7

Characters and Unicode

Total characters7214
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique484 ?
Unique (%)69.4%

Sample

1st row896-8552
2nd row02-746-9082
3rd row02-470-9191
4th row02-6953-3201
5th row02-3477-2851
ValueCountFrequency (%)
3424-1611 11
 
1.6%
6094-9595 9
 
1.3%
320-2511 7
 
1.0%
6462-2300 6
 
0.9%
02-399-1624 5
 
0.7%
02-544-1152 4
 
0.6%
747-2117 4
 
0.6%
2280-4051 4
 
0.6%
02-3481-8842 4
 
0.6%
02-766-7667 3
 
0.4%
Other values (561) 645
91.9%
2024-05-11T07:20:10.858146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1102
15.3%
0 1055
14.6%
2 983
13.6%
3 589
8.2%
1 587
8.1%
7 586
8.1%
6 539
7.5%
4 506
7.0%
5 481
6.7%
8 418
 
5.8%
Other values (7) 368
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6090
84.4%
Dash Punctuation 1102
 
15.3%
Close Punctuation 10
 
0.1%
Other Punctuation 6
 
0.1%
Space Separator 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1055
17.3%
2 983
16.1%
3 589
9.7%
1 587
9.6%
7 586
9.6%
6 539
8.9%
4 506
8.3%
5 481
7.9%
8 418
 
6.9%
9 346
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
/ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1102
15.3%
0 1055
14.6%
2 983
13.6%
3 589
8.2%
1 587
8.1%
7 586
8.1%
6 539
7.5%
4 506
7.0%
5 481
6.7%
8 418
 
5.8%
Other values (7) 368
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1102
15.3%
0 1055
14.6%
2 983
13.6%
3 589
8.2%
1 587
8.1%
7 586
8.1%
6 539
7.5%
4 506
7.0%
5 481
6.7%
8 418
 
5.8%
Other values (7) 368
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

소재지우편번호
Text

MISSING 

Distinct433
Distinct (%)43.5%
Missing363
Missing (%)26.7%
Memory size10.7 KiB
2024-05-11T07:20:11.917523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0703518
Min length6

Characters and Unicode

Total characters6040
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

Unique232 ?
Unique (%)23.3%

Sample

1st row153-860
2nd row136-150
3rd row134-846
4th row100-392
5th row100-272
ValueCountFrequency (%)
110809 36
 
3.6%
100120 19
 
1.9%
110510 19
 
1.9%
152862 12
 
1.2%
122200 12
 
1.2%
110-809 12
 
1.2%
143721 11
 
1.1%
100300 11
 
1.1%
110530 10
 
1.0%
100850 10
 
1.0%
Other values (423) 843
84.7%
2024-05-11T07:20:13.063779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1503
24.9%
0 1313
21.7%
2 765
12.7%
8 673
11.1%
5 436
 
7.2%
3 383
 
6.3%
9 257
 
4.3%
6 238
 
3.9%
7 204
 
3.4%
4 198
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5970
98.8%
Dash Punctuation 70
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1503
25.2%
0 1313
22.0%
2 765
12.8%
8 673
11.3%
5 436
 
7.3%
3 383
 
6.4%
9 257
 
4.3%
6 238
 
4.0%
7 204
 
3.4%
4 198
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1503
24.9%
0 1313
21.7%
2 765
12.7%
8 673
11.1%
5 436
 
7.2%
3 383
 
6.3%
9 257
 
4.3%
6 238
 
3.9%
7 204
 
3.4%
4 198
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1503
24.9%
0 1313
21.7%
2 765
12.7%
8 673
11.1%
5 436
 
7.2%
3 383
 
6.3%
9 257
 
4.3%
6 238
 
3.9%
7 204
 
3.4%
4 198
 
3.3%
Distinct1158
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-11T07:20:14.090480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length22.958763
Min length4

Characters and Unicode

Total characters31178
Distinct characters375
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1030 ?
Unique (%)75.8%

Sample

1st row서울특별시 금천구 시흥동 937-2
2nd row서울특별시 성북구 석관동 산 1-5
3rd row서울특별시 서초구 방배동 763-32 가우디빌딩 5층
4th row서울특별시 강남구 역삼동 694-34 역선빌딩
5th row서울특별시 강동구 성내동 435-9
ValueCountFrequency (%)
서울특별시 1349
 
22.1%
중구 293
 
4.8%
종로구 254
 
4.2%
은평구 212
 
3.5%
동숭동 129
 
2.1%
동작구 104
 
1.7%
마포구 73
 
1.2%
강남구 61
 
1.0%
서초구 57
 
0.9%
지하1층 51
 
0.8%
Other values (1658) 3526
57.7%
2024-05-11T07:20:15.584771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5559
17.8%
1578
 
5.1%
1548
 
5.0%
1430
 
4.6%
1372
 
4.4%
1 1368
 
4.4%
1364
 
4.4%
1356
 
4.3%
1349
 
4.3%
- 1106
 
3.5%
Other values (365) 13148
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18467
59.2%
Decimal Number 5816
 
18.7%
Space Separator 5559
 
17.8%
Dash Punctuation 1106
 
3.5%
Uppercase Letter 129
 
0.4%
Other Punctuation 32
 
0.1%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Lowercase Letter 18
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1578
 
8.5%
1548
 
8.4%
1430
 
7.7%
1372
 
7.4%
1364
 
7.4%
1356
 
7.3%
1349
 
7.3%
869
 
4.7%
739
 
4.0%
401
 
2.2%
Other values (312) 6461
35.0%
Uppercase Letter
ValueCountFrequency (%)
B 16
12.4%
A 13
 
10.1%
C 13
 
10.1%
S 10
 
7.8%
L 9
 
7.0%
G 7
 
5.4%
N 6
 
4.7%
K 6
 
4.7%
Y 5
 
3.9%
H 5
 
3.9%
Other values (13) 39
30.2%
Decimal Number
ValueCountFrequency (%)
1 1368
23.5%
2 852
14.6%
3 663
11.4%
4 543
 
9.3%
5 517
 
8.9%
0 477
 
8.2%
6 371
 
6.4%
8 364
 
6.3%
7 348
 
6.0%
9 313
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
a 3
16.7%
u 2
11.1%
r 2
11.1%
l 2
11.1%
t 1
 
5.6%
n 1
 
5.6%
q 1
 
5.6%
z 1
 
5.6%
s 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 24
75.0%
. 5
 
15.6%
& 1
 
3.1%
/ 1
 
3.1%
? 1
 
3.1%
Space Separator
ValueCountFrequency (%)
5559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18467
59.2%
Common 12564
40.3%
Latin 147
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1578
 
8.5%
1548
 
8.4%
1430
 
7.7%
1372
 
7.4%
1364
 
7.4%
1356
 
7.3%
1349
 
7.3%
869
 
4.7%
739
 
4.0%
401
 
2.2%
Other values (312) 6461
35.0%
Latin
ValueCountFrequency (%)
B 16
 
10.9%
A 13
 
8.8%
C 13
 
8.8%
S 10
 
6.8%
L 9
 
6.1%
G 7
 
4.8%
N 6
 
4.1%
K 6
 
4.1%
Y 5
 
3.4%
H 5
 
3.4%
Other values (23) 57
38.8%
Common
ValueCountFrequency (%)
5559
44.2%
1 1368
 
10.9%
- 1106
 
8.8%
2 852
 
6.8%
3 663
 
5.3%
4 543
 
4.3%
5 517
 
4.1%
0 477
 
3.8%
6 371
 
3.0%
8 364
 
2.9%
Other values (10) 744
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18467
59.2%
ASCII 12711
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5559
43.7%
1 1368
 
10.8%
- 1106
 
8.7%
2 852
 
6.7%
3 663
 
5.2%
4 543
 
4.3%
5 517
 
4.1%
0 477
 
3.8%
6 371
 
2.9%
8 364
 
2.9%
Other values (43) 891
 
7.0%
Hangul
ValueCountFrequency (%)
1578
 
8.5%
1548
 
8.4%
1430
 
7.7%
1372
 
7.4%
1364
 
7.4%
1356
 
7.3%
1349
 
7.3%
869
 
4.7%
739
 
4.0%
401
 
2.2%
Other values (312) 6461
35.0%

도로명주소
Text

MISSING 

Distinct987
Distinct (%)86.5%
Missing217
Missing (%)16.0%
Memory size10.7 KiB
2024-05-11T07:20:16.598291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length29.255916
Min length19

Characters and Unicode

Total characters33381
Distinct characters411
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique896 ?
Unique (%)78.5%

Sample

1st row서울특별시 금천구 시흥대로38길 61 (시흥동)
2nd row서울특별시 성북구 화랑로32길 146-37 (석관동)
3rd row서울특별시 서초구 방배중앙로29길 21, 가우디빌딩 5층 (방배동)
4th row서울특별시 강남구 선릉로 547, 지하층 (역삼동)
5th row서울특별시 강동구 성안로 30 (성내동)
ValueCountFrequency (%)
서울특별시 1141
 
17.7%
종로구 249
 
3.9%
중구 227
 
3.5%
은평구 157
 
2.4%
지하1층 124
 
1.9%
동숭동 114
 
1.8%
마포구 72
 
1.1%
동작구 63
 
1.0%
강남구 61
 
0.9%
서초구 53
 
0.8%
Other values (1585) 4202
65.0%
2024-05-11T07:20:18.557900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5633
 
16.9%
1483
 
4.4%
1398
 
4.2%
1377
 
4.1%
1248
 
3.7%
1171
 
3.5%
1161
 
3.5%
( 1156
 
3.5%
) 1156
 
3.5%
1148
 
3.4%
Other values (401) 16450
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19921
59.7%
Space Separator 5633
 
16.9%
Decimal Number 4471
 
13.4%
Open Punctuation 1156
 
3.5%
Close Punctuation 1156
 
3.5%
Other Punctuation 706
 
2.1%
Dash Punctuation 167
 
0.5%
Uppercase Letter 134
 
0.4%
Lowercase Letter 28
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1483
 
7.4%
1398
 
7.0%
1377
 
6.9%
1248
 
6.3%
1171
 
5.9%
1161
 
5.8%
1148
 
5.8%
1141
 
5.7%
604
 
3.0%
399
 
2.0%
Other values (349) 8791
44.1%
Uppercase Letter
ValueCountFrequency (%)
B 38
28.4%
C 11
 
8.2%
S 9
 
6.7%
G 8
 
6.0%
K 8
 
6.0%
L 8
 
6.0%
H 5
 
3.7%
D 5
 
3.7%
A 5
 
3.7%
U 5
 
3.7%
Other values (11) 32
23.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
25.0%
u 3
10.7%
r 3
10.7%
a 3
10.7%
l 3
10.7%
t 2
 
7.1%
n 2
 
7.1%
s 2
 
7.1%
q 1
 
3.6%
z 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 1067
23.9%
2 759
17.0%
3 537
12.0%
4 394
 
8.8%
5 375
 
8.4%
0 331
 
7.4%
6 278
 
6.2%
8 265
 
5.9%
7 256
 
5.7%
9 209
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 699
99.0%
/ 3
 
0.4%
. 2
 
0.3%
& 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19921
59.7%
Common 13298
39.8%
Latin 162
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1483
 
7.4%
1398
 
7.0%
1377
 
6.9%
1248
 
6.3%
1171
 
5.9%
1161
 
5.8%
1148
 
5.8%
1141
 
5.7%
604
 
3.0%
399
 
2.0%
Other values (349) 8791
44.1%
Latin
ValueCountFrequency (%)
B 38
23.5%
C 11
 
6.8%
S 9
 
5.6%
G 8
 
4.9%
K 8
 
4.9%
L 8
 
4.9%
e 7
 
4.3%
H 5
 
3.1%
D 5
 
3.1%
A 5
 
3.1%
Other values (22) 58
35.8%
Common
ValueCountFrequency (%)
5633
42.4%
( 1156
 
8.7%
) 1156
 
8.7%
1 1067
 
8.0%
2 759
 
5.7%
, 699
 
5.3%
3 537
 
4.0%
4 394
 
3.0%
5 375
 
2.8%
0 331
 
2.5%
Other values (10) 1191
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19921
59.7%
ASCII 13460
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5633
41.8%
( 1156
 
8.6%
) 1156
 
8.6%
1 1067
 
7.9%
2 759
 
5.6%
, 699
 
5.2%
3 537
 
4.0%
4 394
 
2.9%
5 375
 
2.8%
0 331
 
2.5%
Other values (42) 1353
 
10.1%
Hangul
ValueCountFrequency (%)
1483
 
7.4%
1398
 
7.0%
1377
 
6.9%
1248
 
6.3%
1171
 
5.9%
1161
 
5.8%
1148
 
5.8%
1141
 
5.7%
604
 
3.0%
399
 
2.0%
Other values (349) 8791
44.1%

도로명우편번호
Text

MISSING 

Distinct332
Distinct (%)61.1%
Missing815
Missing (%)60.0%
Memory size10.7 KiB
2024-05-11T07:20:19.610426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4143646
Min length5

Characters and Unicode

Total characters2940
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

Unique249 ?
Unique (%)45.9%

Sample

1st row153-861
2nd row136-716
3rd row06554
4th row06149
5th row134-846
ValueCountFrequency (%)
03086 42
 
7.7%
110510 16
 
2.9%
03084 14
 
2.6%
110809 9
 
1.7%
03085 8
 
1.5%
131858 7
 
1.3%
137718 7
 
1.3%
110522 6
 
1.1%
05500 6
 
1.1%
03088 5
 
0.9%
Other values (322) 423
77.9%
2024-05-11T07:20:21.067108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 792
26.9%
1 440
15.0%
3 318
10.8%
8 281
 
9.6%
4 233
 
7.9%
5 215
 
7.3%
7 189
 
6.4%
6 188
 
6.4%
2 144
 
4.9%
9 104
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2904
98.8%
Dash Punctuation 36
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 792
27.3%
1 440
15.2%
3 318
11.0%
8 281
 
9.7%
4 233
 
8.0%
5 215
 
7.4%
7 189
 
6.5%
6 188
 
6.5%
2 144
 
5.0%
9 104
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 792
26.9%
1 440
15.0%
3 318
10.8%
8 281
 
9.6%
4 233
 
7.9%
5 215
 
7.3%
7 189
 
6.4%
6 188
 
6.4%
2 144
 
4.9%
9 104
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 792
26.9%
1 440
15.0%
3 318
10.8%
8 281
 
9.6%
4 233
 
7.9%
5 215
 
7.3%
7 189
 
6.4%
6 188
 
6.4%
2 144
 
4.9%
9 104
 
3.5%
Distinct1317
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-11T07:20:22.001741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length7.5309278
Min length1

Characters and Unicode

Total characters10227
Distinct characters620
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1282 ?
Unique (%)94.4%

Sample

1st row금천문화회관 공연장
2nd row한국예술종합학교 예술소극장
3rd row클래식라운지
4th row파인트리 시어터
5th row호원아트홀
ValueCountFrequency (%)
소극장 38
 
2.0%
2관 23
 
1.2%
1관 20
 
1.0%
극장 14
 
0.7%
hall 13
 
0.7%
아트홀 13
 
0.7%
극단 13
 
0.7%
씨어터 12
 
0.6%
cgv강변11 11
 
0.6%
3관 10
 
0.5%
Other values (1478) 1769
91.4%
2024-05-11T07:20:23.305862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
590
 
5.8%
320
 
3.1%
289
 
2.8%
265
 
2.6%
251
 
2.5%
241
 
2.4%
214
 
2.1%
199
 
1.9%
174
 
1.7%
170
 
1.7%
Other values (610) 7514
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8390
82.0%
Space Separator 590
 
5.8%
Uppercase Letter 477
 
4.7%
Decimal Number 284
 
2.8%
Lowercase Letter 207
 
2.0%
Open Punctuation 123
 
1.2%
Close Punctuation 123
 
1.2%
Other Punctuation 20
 
0.2%
Dash Punctuation 8
 
0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
320
 
3.8%
289
 
3.4%
265
 
3.2%
251
 
3.0%
241
 
2.9%
214
 
2.6%
199
 
2.4%
174
 
2.1%
170
 
2.0%
134
 
1.6%
Other values (536) 6133
73.1%
Uppercase Letter
ValueCountFrequency (%)
C 48
 
10.1%
G 39
 
8.2%
L 35
 
7.3%
S 33
 
6.9%
A 32
 
6.7%
T 31
 
6.5%
V 24
 
5.0%
H 24
 
5.0%
E 24
 
5.0%
B 22
 
4.6%
Other values (15) 165
34.6%
Lowercase Letter
ValueCountFrequency (%)
a 29
14.0%
l 24
11.6%
e 23
11.1%
o 14
 
6.8%
r 14
 
6.8%
t 12
 
5.8%
u 11
 
5.3%
i 11
 
5.3%
c 9
 
4.3%
n 9
 
4.3%
Other values (15) 51
24.6%
Decimal Number
ValueCountFrequency (%)
1 96
33.8%
2 64
22.5%
3 29
 
10.2%
4 28
 
9.9%
0 26
 
9.2%
5 13
 
4.6%
6 12
 
4.2%
7 7
 
2.5%
9 6
 
2.1%
8 3
 
1.1%
Other Punctuation
ValueCountFrequency (%)
' 17
85.0%
& 2
 
10.0%
. 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
< 1
33.3%
> 1
33.3%
+ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 121
98.4%
[ 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 121
98.4%
] 2
 
1.6%
Space Separator
ValueCountFrequency (%)
590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8389
82.0%
Common 1153
 
11.3%
Latin 684
 
6.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
320
 
3.8%
289
 
3.4%
265
 
3.2%
251
 
3.0%
241
 
2.9%
214
 
2.6%
199
 
2.4%
174
 
2.1%
170
 
2.0%
134
 
1.6%
Other values (535) 6132
73.1%
Latin
ValueCountFrequency (%)
C 48
 
7.0%
G 39
 
5.7%
L 35
 
5.1%
S 33
 
4.8%
A 32
 
4.7%
T 31
 
4.5%
a 29
 
4.2%
l 24
 
3.5%
V 24
 
3.5%
H 24
 
3.5%
Other values (40) 365
53.4%
Common
ValueCountFrequency (%)
590
51.2%
( 121
 
10.5%
) 121
 
10.5%
1 96
 
8.3%
2 64
 
5.6%
3 29
 
2.5%
4 28
 
2.4%
0 26
 
2.3%
' 17
 
1.5%
5 13
 
1.1%
Other values (14) 48
 
4.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8387
82.0%
ASCII 1837
 
18.0%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
590
32.1%
( 121
 
6.6%
) 121
 
6.6%
1 96
 
5.2%
2 64
 
3.5%
C 48
 
2.6%
G 39
 
2.1%
L 35
 
1.9%
S 33
 
1.8%
A 32
 
1.7%
Other values (64) 658
35.8%
Hangul
ValueCountFrequency (%)
320
 
3.8%
289
 
3.4%
265
 
3.2%
251
 
3.0%
241
 
2.9%
214
 
2.6%
199
 
2.4%
174
 
2.1%
170
 
2.0%
134
 
1.6%
Other values (533) 6130
73.1%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct968
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum2003-02-06 13:07:29
Maximum2024-05-09 13:07:26
2024-05-11T07:20:23.899107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:24.440294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
I
690 
U
668 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 690
50.8%
U 668
49.2%

Length

2024-05-11T07:20:24.976528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:25.396996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 690
50.8%
u 668
49.2%
Distinct352
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T07:20:25.927206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:20:26.430437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct876
Distinct (%)71.6%
Missing134
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean198469.71
Minimum185118.2
Maximum212831.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:27.041488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185118.2
5-th percentile191114.34
Q1193842.24
median199488.3
Q3200613.51
95-th percentile207673.43
Maximum212831.03
Range27712.828
Interquartile range (IQR)6771.2718

Descriptive statistics

Standard deviation4968.3562
Coefficient of variation (CV)0.025033323
Kurtosis-0.030299068
Mean198469.71
Median Absolute Deviation (MAD)2597.6087
Skewness0.19851655
Sum2.4292692 × 108
Variance24684563
MonotonicityNot monotonic
2024-05-11T07:20:27.797404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197279.328436862 15
 
1.1%
189570.360930049 12
 
0.9%
201278.647889967 11
 
0.8%
208394.416382167 11
 
0.8%
200613.510297669 10
 
0.7%
206383.829438022 9
 
0.7%
199332.29889394 9
 
0.7%
207785.163886948 7
 
0.5%
198786.599773 6
 
0.4%
210992.497270009 6
 
0.4%
Other values (866) 1128
83.1%
(Missing) 134
 
9.9%
ValueCountFrequency (%)
185118.204838898 2
0.1%
185824.428508883 1
0.1%
185934.161375522 1
0.1%
185944.635310615 1
0.1%
186433.391549625 1
0.1%
186608.714964021 1
0.1%
187219.776938727 1
0.1%
187785.840457798 1
0.1%
187841.832937812 1
0.1%
187901.218945668 1
0.1%
ValueCountFrequency (%)
212831.033281342 1
 
0.1%
212562.756067776 2
 
0.1%
212090.685323707 1
 
0.1%
211713.060663377 1
 
0.1%
211450.632928158 1
 
0.1%
211173.675641926 1
 
0.1%
211113.100740484 1
 
0.1%
211073.35603022 3
0.2%
211053.119518 2
 
0.1%
210992.497270009 6
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct876
Distinct (%)71.6%
Missing134
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean450666.4
Minimum438279.8
Maximum465460.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:28.233708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438279.8
5-th percentile442630.24
Q1447372.62
median451366.78
Q3453398.81
95-th percentile457271.3
Maximum465460.43
Range27180.632
Interquartile range (IQR)6026.188

Descriptive statistics

Standard deviation4382.8594
Coefficient of variation (CV)0.0097252855
Kurtosis-0.24179722
Mean450666.4
Median Absolute Deviation (MAD)2223.0123
Skewness-0.29553507
Sum5.5161568 × 108
Variance19209457
MonotonicityNot monotonic
2024-05-11T07:20:28.745474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451765.426505347 15
 
1.1%
444336.051330144 12
 
0.9%
442099.753091778 11
 
0.8%
448165.279999905 11
 
0.8%
451817.515366883 10
 
0.7%
446030.128073052 9
 
0.7%
451378.467998728 9
 
0.7%
454948.667169479 7
 
0.5%
451426.811563 6
 
0.4%
447372.617182859 6
 
0.4%
Other values (866) 1128
83.1%
(Missing) 134
 
9.9%
ValueCountFrequency (%)
438279.797214746 1
0.1%
438518.811960006 1
0.1%
438727.034928282 1
0.1%
439051.081835459 1
0.1%
439411.341370401 1
0.1%
440511.561175378 2
0.1%
440594.854590848 1
0.1%
440703.922556739 1
0.1%
440738.232631309 1
0.1%
440888.699596195 1
0.1%
ValueCountFrequency (%)
465460.429107353 1
0.1%
461755.961402384 1
0.1%
461419.881795004 2
0.1%
461366.546648147 1
0.1%
461343.062226682 1
0.1%
461333.376732072 1
0.1%
461303.274346041 2
0.1%
461163.779496304 1
0.1%
460868.029162614 2
0.1%
460560.465121998 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
공연장
839 
<NA>
519 

Length

Max length4
Median length3
Mean length3.3821797
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 839
61.8%
<NA> 519
38.2%

Length

2024-05-11T07:20:29.576834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:29.940026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 839
61.8%
na 519
38.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
공연장
839 
<NA>
519 

Length

Max length4
Median length3
Mean length3.3821797
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 839
61.8%
<NA> 519
38.2%

Length

2024-05-11T07:20:30.290868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:30.578389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 839
61.8%
na 519
38.2%

지역구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1266 
근린상업지역
 
26
상업지역
 
22
일반주거지역
 
17
일반상업지역
 
11
Other values (7)
 
16

Length

Max length6
Median length4
Mean length4.0913108
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1266
93.2%
근린상업지역 26
 
1.9%
상업지역 22
 
1.6%
일반주거지역 17
 
1.3%
일반상업지역 11
 
0.8%
준주거지역 5
 
0.4%
중심상업지역 3
 
0.2%
준공업지역 3
 
0.2%
주거지역 2
 
0.1%
공업지역 1
 
0.1%
Other values (2) 2
 
0.1%

Length

2024-05-11T07:20:30.950999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1266
93.2%
근린상업지역 26
 
1.9%
상업지역 22
 
1.6%
일반주거지역 17
 
1.3%
일반상업지역 11
 
0.8%
준주거지역 5
 
0.4%
중심상업지역 3
 
0.2%
준공업지역 3
 
0.2%
주거지역 2
 
0.1%
공업지역 1
 
0.1%
Other values (2) 2
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)4.5%
Missing865
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean2.1237323
Minimum0
Maximum26
Zeros356
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:31.314144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.6668378
Coefficient of variation (CV)2.1974699
Kurtosis6.7591198
Mean2.1237323
Median Absolute Deviation (MAD)0
Skewness2.6038764
Sum1047
Variance21.779375
MonotonicityNot monotonic
2024-05-11T07:20:31.759409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 356
26.2%
10 25
 
1.8%
1 24
 
1.8%
2 12
 
0.9%
19 10
 
0.7%
5 10
 
0.7%
7 9
 
0.7%
3 9
 
0.7%
6 8
 
0.6%
9 7
 
0.5%
Other values (12) 23
 
1.7%
(Missing) 865
63.7%
ValueCountFrequency (%)
0 356
26.2%
1 24
 
1.8%
2 12
 
0.9%
3 9
 
0.7%
4 4
 
0.3%
5 10
 
0.7%
6 8
 
0.6%
7 9
 
0.7%
8 2
 
0.1%
9 7
 
0.5%
ValueCountFrequency (%)
26 1
 
0.1%
25 1
 
0.1%
23 1
 
0.1%
21 1
 
0.1%
20 2
 
0.1%
19 10
0.7%
18 1
 
0.1%
17 1
 
0.1%
13 2
 
0.1%
12 3
 
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1263 
기타
 
51
아파트지역
 
16
주택가주변
 
15
학교정화(상대)
 
4
Other values (3)
 
9

Length

Max length8
Median length4
Mean length3.9837997
Min length2

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> 1263
93.0%
기타 51
 
3.8%
아파트지역 16
 
1.2%
주택가주변 15
 
1.1%
학교정화(상대) 4
 
0.3%
유흥업소밀집지역 4
 
0.3%
결혼예식장주변 3
 
0.2%
학교정화(절대) 2
 
0.1%

Length

2024-05-11T07:20:32.291415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:32.657108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1263
93.0%
기타 51
 
3.8%
아파트지역 16
 
1.2%
주택가주변 15
 
1.1%
학교정화(상대 4
 
0.3%
유흥업소밀집지역 4
 
0.3%
결혼예식장주변 3
 
0.2%
학교정화(절대 2
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1182 
근린생활시설
123 
문화시설
 
41
교육연구시설
 
4
기타
 
4
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.1804124
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1182
87.0%
근린생활시설 123
 
9.1%
문화시설 41
 
3.0%
교육연구시설 4
 
0.3%
기타 4
 
0.3%
유통시설 2
 
0.1%
사무실 1
 
0.1%
종교시설 1
 
0.1%

Length

2024-05-11T07:20:33.083030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:33.372876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1182
87.0%
근린생활시설 123
 
9.1%
문화시설 41
 
3.0%
교육연구시설 4
 
0.3%
기타 4
 
0.3%
유통시설 2
 
0.1%
사무실 1
 
0.1%
종교시설 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)3.7%
Missing875
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean1.7639752
Minimum0
Maximum20
Zeros359
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:33.597612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.7180431
Coefficient of variation (CV)2.1077639
Kurtosis5.6665663
Mean1.7639752
Median Absolute Deviation (MAD)0
Skewness2.4092299
Sum852
Variance13.823845
MonotonicityNot monotonic
2024-05-11T07:20:33.950803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 359
26.4%
5 15
 
1.1%
6 14
 
1.0%
4 13
 
1.0%
3 12
 
0.9%
9 12
 
0.9%
7 10
 
0.7%
13 10
 
0.7%
8 9
 
0.7%
1 8
 
0.6%
Other values (8) 21
 
1.5%
(Missing) 875
64.4%
ValueCountFrequency (%)
0 359
26.4%
1 8
 
0.6%
2 8
 
0.6%
3 12
 
0.9%
4 13
 
1.0%
5 15
 
1.1%
6 14
 
1.0%
7 10
 
0.7%
8 9
 
0.7%
9 12
 
0.9%
ValueCountFrequency (%)
20 2
 
0.1%
18 1
 
0.1%
17 1
 
0.1%
15 6
0.4%
14 1
 
0.1%
13 10
0.7%
12 1
 
0.1%
10 1
 
0.1%
9 12
0.9%
8 9
0.7%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.6%
Missing865
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean0.68154158
Minimum0
Maximum19
Zeros356
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:34.318816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5933054
Coefficient of variation (CV)2.3377963
Kurtosis37.514083
Mean0.68154158
Median Absolute Deviation (MAD)0
Skewness4.6177263
Sum336
Variance2.538622
MonotonicityNot monotonic
2024-05-11T07:20:34.675740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 356
26.2%
1 68
 
5.0%
2 18
 
1.3%
3 17
 
1.3%
4 16
 
1.2%
6 13
 
1.0%
5 4
 
0.3%
19 1
 
0.1%
(Missing) 865
63.7%
ValueCountFrequency (%)
0 356
26.2%
1 68
 
5.0%
2 18
 
1.3%
3 17
 
1.3%
4 16
 
1.2%
5 4
 
0.3%
6 13
 
1.0%
19 1
 
0.1%
ValueCountFrequency (%)
19 1
 
0.1%
6 13
 
1.0%
5 4
 
0.3%
4 16
 
1.2%
3 17
 
1.3%
2 18
 
1.3%
1 68
 
5.0%
0 356
26.2%

객실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:35.095162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:35.432716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

건축연면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:35.658891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:35.862631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:36.165642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:36.487933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

선박척수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:36.870983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:37.223214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:37.586935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:38.221548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

좌석수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:38.900186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:39.530032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:40.217943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:40.733272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)4.0%
Missing811
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean293.57108
Minimum0
Maximum13761
Zeros514
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:41.228950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile202.9
Maximum13761
Range13761
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1867.0911
Coefficient of variation (CV)6.3599287
Kurtosis47.211002
Mean293.57108
Median Absolute Deviation (MAD)0
Skewness6.9413074
Sum160583.38
Variance3486029.3
MonotonicityNot monotonic
2024-05-11T07:20:41.819431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 514
37.8%
13761.0 10
 
0.7%
1596.83 2
 
0.1%
4546.59 2
 
0.1%
370.0 2
 
0.1%
198.0 1
 
0.1%
858.0 1
 
0.1%
1244.0 1
 
0.1%
811.0 1
 
0.1%
1507.7 1
 
0.1%
Other values (12) 12
 
0.9%
(Missing) 811
59.7%
ValueCountFrequency (%)
0.0 514
37.8%
165.0 1
 
0.1%
166.0 1
 
0.1%
181.5 1
 
0.1%
190.0 1
 
0.1%
198.0 1
 
0.1%
205.0 1
 
0.1%
207.0 1
 
0.1%
230.0 1
 
0.1%
243.0 1
 
0.1%
ValueCountFrequency (%)
13761.0 10
0.7%
4546.59 2
 
0.1%
1710.0 1
 
0.1%
1596.83 2
 
0.1%
1507.7 1
 
0.1%
1244.0 1
 
0.1%
944.74 1
 
0.1%
858.0 1
 
0.1%
831.4 1
 
0.1%
811.0 1
 
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:42.420020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:42.937669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

자본금
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1017 
0
341 

Length

Max length4
Median length4
Mean length3.2466863
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> 1017
74.9%
0 341
 
25.1%

Length

2024-05-11T07:20:43.315153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:20:43.698886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1017
74.9%
0 341
 
25.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1358
Missing (%)100.0%
Memory size12.1 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)4.0%
Missing811
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean293.57404
Minimum0
Maximum13761
Zeros514
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T07:20:44.076904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile202.9
Maximum13761
Range13761
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1867.0952
Coefficient of variation (CV)6.3598786
Kurtosis47.210553
Mean293.57404
Median Absolute Deviation (MAD)0
Skewness6.9412701
Sum160585
Variance3486044.6
MonotonicityNot monotonic
2024-05-11T07:20:44.521524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 514
37.8%
13761 10
 
0.7%
1597 2
 
0.1%
4547 2
 
0.1%
370 2
 
0.1%
198 1
 
0.1%
858 1
 
0.1%
1244 1
 
0.1%
811 1
 
0.1%
1508 1
 
0.1%
Other values (12) 12
 
0.9%
(Missing) 811
59.7%
ValueCountFrequency (%)
0 514
37.8%
165 1
 
0.1%
166 1
 
0.1%
182 1
 
0.1%
190 1
 
0.1%
198 1
 
0.1%
205 1
 
0.1%
207 1
 
0.1%
230 1
 
0.1%
243 1
 
0.1%
ValueCountFrequency (%)
13761 10
0.7%
4547 2
 
0.1%
1710 1
 
0.1%
1597 2
 
0.1%
1508 1
 
0.1%
1244 1
 
0.1%
945 1
 
0.1%
858 1
 
0.1%
831 1
 
0.1%
811 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03170000CDFE12300020090000022009-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA>896-8552<NA>153-860서울특별시 금천구 시흥동 937-2서울특별시 금천구 시흥대로38길 61 (시흥동)153-861금천문화회관 공연장2023-05-01 13:56:08U2022-12-05 00:03:00.0<NA>191451.869502438279.797215<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFE12300020070000022007-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-746-9082<NA>136-150서울특별시 성북구 석관동 산 1-5서울특별시 성북구 화랑로32길 146-37 (석관동)136-716한국예술종합학교 예술소극장2023-01-27 14:11:19U2022-12-04 22:06:00.0<NA>204863.310848455720.784852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFE12300020200000012020-07-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 763-32 가우디빌딩 5층서울특별시 서초구 방배중앙로29길 21, 가우디빌딩 5층 (방배동)06554클래식라운지2024-01-18 12:42:11U2023-11-30 22:00:00.0<NA>198544.950903443799.513328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFE12300020170000022017-11-30<NA>3폐업03폐업2023-03-20<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 694-34 역선빌딩서울특별시 강남구 선릉로 547, 지하층 (역삼동)06149파인트리 시어터2023-03-21 09:23:39U2022-12-02 22:03:00.0<NA>203976.358291445042.403743<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFE12300020120000012012-12-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-470-9191<NA>134-846서울특별시 강동구 성내동 435-9서울특별시 강동구 성안로 30 (성내동)134-846호원아트홀2023-02-21 16:41:23U2022-12-01 22:03:00.0<NA>211450.632928447124.978248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFE12300020210000012021-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-3201<NA><NA>서울특별시 성북구 길음동 1286-8 서울성북 미디어문화마루서울특별시 성북구 길음로7길 20, 서울성북 미디어문화마루 4층 (길음동)02721꿈빛극장2023-11-23 08:46:03U2022-10-31 22:05:00.0<NA>201886.666806455714.252149<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000CDFE12300020170000012017-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3477-2851<NA><NA>서울특별시 서초구 반포동 114-3서울특별시 서초구 사평대로 55 (반포동, 심산기념문화센터)06550반포심산아트홀2023-05-31 19:50:59U2022-12-06 00:02:00.0<NA>199155.943192444069.635272<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000CDFE12300020110000022011-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2260-8563<NA>100-392서울특별시 중구 장충동2가 192-5 동국대학교서울특별시 중구 필동로1길 30 (장충동2가)100-392동국대학교 이해랑예술극장2023-04-11 10:16:39U2022-12-03 23:03:00.0<NA>199982.391467450679.495368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFE12300020230000012023-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-587-2016<NA><NA>서울특별시 서초구 서초동 1623-12 블루타워서울특별시 서초구 서초중앙로 56, 블루타워 지하층 (서초동)06640IPAC아트홀2023-04-19 15:17:50I2022-12-03 22:01:00.0<NA>201292.840891442741.789521<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFE12300020230000012023-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-7811<NA><NA>서울특별시 광진구 중곡동 252-12 우인아트홀서울특별시 광진구 동일로 360, 우인아트홀 5층 (중곡동)04916우인아트홀2023-04-27 10:13:32I2022-12-03 22:09:00.0<NA>206642.970468451165.753464<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
13483240000CDFE123000199500000219951127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134851서울특별시 강동구 성내동 549-1번지<NA><NA>씨네월드3관2003-02-06 13:31:08I2018-08-31 23:59:59.0<NA>210992.49727447372.617183공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
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13503090000CDFE123000201600000120160426<NA>3폐업03폐업20220831<NA><NA><NA>02-993-0561<NA><NA>서울특별시 도봉구 창동 1-9 플랫폼창동61서울특별시 도봉구 마들로11길 74 (창동)01414레드박스(인터파크 창동씨어터)2022-09-28 10:23:10U2021-12-08 21:00:00.0<NA>204260.471076461333.376732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13513160000CDFE123000202000000320200824<NA>3폐업03폐업20221118<NA><NA><NA>02-2093-5093<NA><NA>서울특별시 구로구 고척동 76-41 2001아울렛서울특별시 구로구 중앙로1길 36, 2001아울렛 6층 (고척동)08227구로키즈홀2022-11-21 09:41:15U2021-10-31 22:03:00.0<NA>187785.840458443997.13587<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13523040000CDFE123000202200000120220513<NA>1영업/정상13영업중<NA><NA><NA><NA>024507575<NA><NA>서울특별시 광진구 중곡동 30-80 보건복지행정타운서울특별시 광진구 능동로 400, 보건복지행정타운 (중곡동)04933광진어린이공연장2022-05-13 15:25:02I2021-12-04 23:05:00.0<NA>207401.825014451410.23498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13533120000CDFE12300020210000012021-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-360-8660<NA><NA>서울특별시 서대문구 북아현동 1012-2서울특별시 서대문구 북아현로 51, 지하1층층 (북아현동)03770북아현아트홀2023-05-30 16:22:53U2022-12-06 00:01:00.0<NA>195992.750559451065.345045<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13543230000CDFE12300020110000032011-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-410-1568<NA>138-050서울특별시 송파구 방이동 88-2 올림픽공원내서울특별시 송파구 올림픽로 424 (올림피공원내)138-829올림픽홀2023-09-22 16:00:28U2022-12-08 22:04:00.0<NA>211073.35603446095.113429<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13553000000CDFE12300020160000082016-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3481-8842<NA><NA>서울특별시 종로구 동숭동 1-42서울특별시 종로구 동숭길 123, 2층 (동숭동, 드림아트센터)03086링크아트센터드림 드림2관2024-01-22 08:17:41U2023-11-30 22:04:00.0<NA>200221.159827453443.564355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13563000000CDFE12300020160000072016-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3481-8842<NA><NA>서울특별시 종로구 동숭동 1-42서울특별시 종로구 동숭길 123, 4층 (동숭동, 드림아트센터)03086링크아트센터드림 드림3관2024-01-22 08:18:22U2023-11-30 22:04:00.0<NA>200221.159827453443.564355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13573000000CDFE12300020160000062016-11-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3481-8842<NA><NA>서울특별시 종로구 동숭동 1-42 5층서울특별시 종로구 동숭길 123, 5층 (동숭동, 드림아트센터)03086링크아트센터드림 드림4관2024-01-22 08:19:02U2023-11-30 22:04:00.0<NA>200221.159827453443.564355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>