Overview

Dataset statistics

Number of variables60
Number of observations289
Missing cells7353
Missing cells (%)42.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.6 KiB
Average record size in memory519.5 B

Variable types

Categorical22
Text9
DateTime4
Numeric6
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17189/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.0%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
총층수 is highly imbalanced (75.1%)Imbalance
주변환경명 is highly imbalanced (91.7%)Imbalance
건물용도명 is highly imbalanced (91.3%)Imbalance
지상층수 is highly imbalanced (85.2%)Imbalance
지하층수 is highly imbalanced (82.2%)Imbalance
객실수 is highly imbalanced (75.1%)Imbalance
건축연면적 is highly imbalanced (75.1%)Imbalance
영문상호주소 is highly imbalanced (90.0%)Imbalance
선박총톤수 is highly imbalanced (75.1%)Imbalance
선박척수 is highly imbalanced (75.1%)Imbalance
무대면적 is highly imbalanced (75.1%)Imbalance
좌석수 is highly imbalanced (75.1%)Imbalance
회의실별동시수용인원 is highly imbalanced (75.1%)Imbalance
놀이시설수 is highly imbalanced (75.1%)Imbalance
폐업일자 has 224 (77.5%) missing valuesMissing
휴업시작일자 has 289 (100.0%) missing valuesMissing
휴업종료일자 has 289 (100.0%) missing valuesMissing
재개업일자 has 289 (100.0%) missing valuesMissing
전화번호 has 55 (19.0%) missing valuesMissing
소재지면적 has 289 (100.0%) missing valuesMissing
소재지우편번호 has 246 (85.1%) missing valuesMissing
도로명주소 has 4 (1.4%) missing valuesMissing
도로명우편번호 has 26 (9.0%) missing valuesMissing
업태구분명 has 289 (100.0%) missing valuesMissing
지역구분명 has 283 (97.9%) missing valuesMissing
제작취급품목내용 has 289 (100.0%) missing valuesMissing
보험기관명 has 289 (100.0%) missing valuesMissing
영문상호명 has 283 (97.9%) missing valuesMissing
선박제원 has 289 (100.0%) missing valuesMissing
기념품종류 has 289 (100.0%) missing valuesMissing
시설면적 has 270 (93.4%) missing valuesMissing
놀이기구수내역 has 289 (100.0%) missing valuesMissing
방송시설유무 has 289 (100.0%) missing valuesMissing
발전시설유무 has 289 (100.0%) missing valuesMissing
의무실유무 has 289 (100.0%) missing valuesMissing
안내소유무 has 289 (100.0%) missing valuesMissing
기획여행보험시작일자 has 289 (100.0%) missing valuesMissing
기획여행보험종료일자 has 289 (100.0%) missing valuesMissing
자본금 has 199 (68.9%) missing valuesMissing
보험시작일자 has 289 (100.0%) missing valuesMissing
보험종료일자 has 289 (100.0%) missing valuesMissing
부대시설내역 has 289 (100.0%) missing valuesMissing
시설규모 has 270 (93.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 11 (3.8%) zerosZeros
자본금 has 10 (3.5%) zerosZeros
시설규모 has 11 (3.8%) zerosZeros

Reproduction

Analysis started2024-05-17 22:34:42.295356
Analysis finished2024-05-17 22:34:44.080886
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3220000
289 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 289
100.0%

Length

2024-05-18T07:34:44.308537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:34:44.609155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 289
100.0%

관리번호
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:34:44.982072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5780
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

Unique289 ?
Unique (%)100.0%

Sample

1st rowCDFI2263101989000001
2nd rowCDFI2263101991000001
3rd rowCDFI2263101991000002
4th rowCDFI2263101992000001
5th rowCDFI2263101994000001
ValueCountFrequency (%)
cdfi2263101989000001 1
 
0.3%
cdfi2263102015000016 1
 
0.3%
cdfi2263102019000010 1
 
0.3%
cdfi2263102019000009 1
 
0.3%
cdfi2263102019000008 1
 
0.3%
cdfi2263102019000006 1
 
0.3%
cdfi2263102019000005 1
 
0.3%
cdfi2263102019000004 1
 
0.3%
cdfi2263102019000012 1
 
0.3%
cdfi2263102019000003 1
 
0.3%
Other values (279) 279
96.5%
2024-05-18T07:34:45.714314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2024
35.0%
2 1039
18.0%
1 596
 
10.3%
3 361
 
6.2%
6 338
 
5.8%
C 289
 
5.0%
D 289
 
5.0%
F 289
 
5.0%
I 289
 
5.0%
9 66
 
1.1%
Other values (4) 200
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4624
80.0%
Uppercase Letter 1156
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2024
43.8%
2 1039
22.5%
1 596
 
12.9%
3 361
 
7.8%
6 338
 
7.3%
9 66
 
1.4%
7 52
 
1.1%
4 51
 
1.1%
5 49
 
1.1%
8 48
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 289
25.0%
D 289
25.0%
F 289
25.0%
I 289
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4624
80.0%
Latin 1156
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2024
43.8%
2 1039
22.5%
1 596
 
12.9%
3 361
 
7.8%
6 338
 
7.3%
9 66
 
1.4%
7 52
 
1.1%
4 51
 
1.1%
5 49
 
1.1%
8 48
 
1.0%
Latin
ValueCountFrequency (%)
C 289
25.0%
D 289
25.0%
F 289
25.0%
I 289
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2024
35.0%
2 1039
18.0%
1 596
 
10.3%
3 361
 
6.2%
6 338
 
5.8%
C 289
 
5.0%
D 289
 
5.0%
F 289
 
5.0%
I 289
 
5.0%
9 66
 
1.1%
Other values (4) 200
 
3.5%

인허가일자
Date

Distinct269
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1989-12-23 00:00:00
Maximum2024-05-14 00:00:00
2024-05-18T07:34:46.142813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:34:46.594928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
286 
20120424
 
1
20160429
 
1
20180417
 
1

Length

Max length8
Median length4
Mean length4.0415225
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 286
99.0%
20120424 1
 
0.3%
20160429 1
 
0.3%
20180417 1
 
0.3%

Length

2024-05-18T07:34:46.963336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:34:47.236844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
99.0%
20120424 1
 
0.3%
20160429 1
 
0.3%
20180417 1
 
0.3%

영업상태코드
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1
217 
3
43 
5
 
21
4
 
8

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 (%)
1 217
75.1%
3 43
 
14.9%
5 21
 
7.3%
4 8
 
2.8%

Length

2024-05-18T07:34:47.581658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:34:47.836240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 217
75.1%
3 43
 
14.9%
5 21
 
7.3%
4 8
 
2.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업/정상
217 
폐업
43 
제외/삭제/전출
 
21
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length5.0207612
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 217
75.1%
폐업 43
 
14.9%
제외/삭제/전출 21
 
7.3%
취소/말소/만료/정지/중지 8
 
2.8%

Length

2024-05-18T07:34:48.163729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:34:48.440138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 217
75.1%
폐업 43
 
14.9%
제외/삭제/전출 21
 
7.3%
취소/말소/만료/정지/중지 8
 
2.8%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.197232
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:34:48.781024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile15
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.0186312
Coefficient of variation (CV)0.41145657
Kurtosis6.489021
Mean12.197232
Median Absolute Deviation (MAD)0
Skewness0.96621936
Sum3525
Variance25.186659
MonotonicityNot monotonic
2024-05-18T07:34:49.193264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 217
75.1%
3 43
 
14.9%
15 21
 
7.3%
33 4
 
1.4%
31 3
 
1.0%
35 1
 
0.3%
ValueCountFrequency (%)
3 43
 
14.9%
13 217
75.1%
15 21
 
7.3%
31 3
 
1.0%
33 4
 
1.4%
35 1
 
0.3%
ValueCountFrequency (%)
35 1
 
0.3%
33 4
 
1.4%
31 3
 
1.0%
15 21
 
7.3%
13 217
75.1%
3 43
 
14.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업중
217 
폐업
43 
전출
 
21
지정취소
 
4
등록취소
 
3

Length

Max length4
Median length3
Mean length2.8062284
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 217
75.1%
폐업 43
 
14.9%
전출 21
 
7.3%
지정취소 4
 
1.4%
등록취소 3
 
1.0%
직권말소 1
 
0.3%

Length

2024-05-18T07:34:49.624759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:34:50.059229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 217
75.1%
폐업 43
 
14.9%
전출 21
 
7.3%
지정취소 4
 
1.4%
등록취소 3
 
1.0%
직권말소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct61
Distinct (%)93.8%
Missing224
Missing (%)77.5%
Memory size2.4 KiB
Minimum2006-11-27 00:00:00
Maximum2024-04-26 00:00:00
2024-05-18T07:34:50.421054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:34:50.862199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct225
Distinct (%)96.2%
Missing55
Missing (%)19.0%
Memory size2.4 KiB
2024-05-18T07:34:51.555605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.106838
Min length7

Characters and Unicode

Total characters2365
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)92.3%

Sample

1st row563-0532, 565-4514
2nd row02-551-5581
3rd row569-4327
4th row02-6000-1016
5th row02-566-5590
ValueCountFrequency (%)
02-2058-0012 2
 
0.9%
541-0253 2
 
0.9%
549-6113 2
 
0.9%
3445-9670 2
 
0.9%
555-8813 2
 
0.9%
564-5666 2
 
0.9%
512-0690 2
 
0.9%
070-7599-2544 2
 
0.9%
02-6013-8863 2
 
0.9%
02-579-8760 1
 
0.4%
Other values (216) 216
91.9%
2024-05-18T07:34:52.704352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
16.1%
- 338
14.3%
2 304
12.9%
5 294
12.4%
1 179
7.6%
4 176
7.4%
6 166
7.0%
3 157
6.6%
7 137
 
5.8%
8 121
 
5.1%
Other values (4) 112
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2022
85.5%
Dash Punctuation 338
 
14.3%
Other Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
18.8%
2 304
15.0%
5 294
14.5%
1 179
8.9%
4 176
8.7%
6 166
8.2%
3 157
7.8%
7 137
 
6.8%
8 121
 
6.0%
9 107
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 338
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
16.1%
- 338
14.3%
2 304
12.9%
5 294
12.4%
1 179
7.6%
4 176
7.4%
6 166
7.0%
3 157
6.6%
7 137
 
5.8%
8 121
 
5.1%
Other values (4) 112
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
16.1%
- 338
14.3%
2 304
12.9%
5 294
12.4%
1 179
7.6%
4 176
7.4%
6 166
7.0%
3 157
6.6%
7 137
 
5.8%
8 121
 
5.1%
Other values (4) 112
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Text

MISSING 

Distinct35
Distinct (%)81.4%
Missing246
Missing (%)85.1%
Memory size2.4 KiB
2024-05-18T07:34:53.225913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1627907
Min length6

Characters and Unicode

Total characters265
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)62.8%

Sample

1st row135502
2nd row135-833
3rd row135995
4th row135932
5th row135878
ValueCountFrequency (%)
135937 2
 
4.7%
135502 2
 
4.7%
135854 2
 
4.7%
135815 2
 
4.7%
135878 2
 
4.7%
135932 2
 
4.7%
135814 2
 
4.7%
135949 2
 
4.7%
135-889 1
 
2.3%
135-840 1
 
2.3%
Other values (25) 25
58.1%
2024-05-18T07:34:54.148851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 57
21.5%
1 55
20.8%
3 52
19.6%
8 35
13.2%
9 19
 
7.2%
4 11
 
4.2%
7 10
 
3.8%
0 10
 
3.8%
2 9
 
3.4%
- 7
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
97.4%
Dash Punctuation 7
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 57
22.1%
1 55
21.3%
3 52
20.2%
8 35
13.6%
9 19
 
7.4%
4 11
 
4.3%
7 10
 
3.9%
0 10
 
3.9%
2 9
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 57
21.5%
1 55
20.8%
3 52
19.6%
8 35
13.2%
9 19
 
7.2%
4 11
 
4.2%
7 10
 
3.8%
0 10
 
3.8%
2 9
 
3.4%
- 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 57
21.5%
1 55
20.8%
3 52
19.6%
8 35
13.2%
9 19
 
7.2%
4 11
 
4.2%
7 10
 
3.8%
0 10
 
3.8%
2 9
 
3.4%
- 7
 
2.6%

지번주소
Text

Distinct282
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:34:54.923068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.352941
Min length17

Characters and Unicode

Total characters7327
Distinct characters215
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

Unique277 ?
Unique (%)95.8%

Sample

1st row서울특별시 강남구 역삼동 824-38 장원빌딩 5층
2nd row서울특별시 강남구 삼성동 159 코엑스
3rd row서울특별시 강남구 대치동 997-9
4th row서울특별시 강남구 삼성동 159 코엑스
5th row서울특별시 강남구 논현동 236-7
ValueCountFrequency (%)
서울특별시 289
19.1%
강남구 288
19.0%
역삼동 79
 
5.2%
논현동 73
 
4.8%
삼성동 61
 
4.0%
대치동 23
 
1.5%
3층 18
 
1.2%
신사동 18
 
1.2%
2층 17
 
1.1%
4층 15
 
1.0%
Other values (505) 634
41.8%
2024-05-18T07:34:56.069632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1316
 
18.0%
1 316
 
4.3%
동 306
 
4.2%
서 298
 
4.1%
남 298
 
4.1%
강 292
 
4.0%
별 290
 
4.0%
시 290
 
4.0%
구 290
 
4.0%
특 289
 
3.9%
Other values (205) 3342
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4187
57.1%
Decimal Number 1537
 
21.0%
Space Separator 1316
 
18.0%
Dash Punctuation 256
 
3.5%
Uppercase Letter 24
 
0.3%
Other Punctuation 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 306
 
7.3%
서 298
 
7.1%
남 298
 
7.1%
강 292
 
7.0%
별 290
 
6.9%
시 290
 
6.9%
구 290
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
삼 144
 
3.4%
Other values (179) 1401
33.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.8%
B 5
20.8%
M 2
 
8.3%
A 2
 
8.3%
O 2
 
8.3%
J 2
 
8.3%
S 2
 
8.3%
H 1
 
4.2%
N 1
 
4.2%
X 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 316
20.6%
2 222
14.4%
4 159
10.3%
0 134
8.7%
5 134
8.7%
3 124
 
8.1%
7 123
 
8.0%
6 119
 
7.7%
9 112
 
7.3%
8 94
 
6.1%
Space Separator
ValueCountFrequency (%)
1316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4187
57.1%
Common 3116
42.5%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 306
 
7.3%
서 298
 
7.1%
남 298
 
7.1%
강 292
 
7.0%
별 290
 
6.9%
시 290
 
6.9%
구 290
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
삼 144
 
3.4%
Other values (179) 1401
33.5%
Common
ValueCountFrequency (%)
1316
42.2%
1 316
 
10.1%
- 256
 
8.2%
2 222
 
7.1%
4 159
 
5.1%
0 134
 
4.3%
5 134
 
4.3%
3 124
 
4.0%
7 123
 
3.9%
6 119
 
3.8%
Other values (5) 213
 
6.8%
Latin
ValueCountFrequency (%)
C 5
20.8%
B 5
20.8%
M 2
 
8.3%
A 2
 
8.3%
O 2
 
8.3%
J 2
 
8.3%
S 2
 
8.3%
H 1
 
4.2%
N 1
 
4.2%
X 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4187
57.1%
ASCII 3140
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1316
41.9%
1 316
 
10.1%
- 256
 
8.2%
2 222
 
7.1%
4 159
 
5.1%
0 134
 
4.3%
5 134
 
4.3%
3 124
 
3.9%
7 123
 
3.9%
6 119
 
3.8%
Other values (16) 237
 
7.5%
Hangul
ValueCountFrequency (%)
동 306
 
7.3%
서 298
 
7.1%
남 298
 
7.1%
강 292
 
7.0%
별 290
 
6.9%
시 290
 
6.9%
구 290
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
삼 144
 
3.4%
Other values (179) 1401
33.5%

도로명주소
Text

MISSING 

Distinct281
Distinct (%)98.6%
Missing4
Missing (%)1.4%
Memory size2.4 KiB
2024-05-18T07:34:56.778427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length33.263158
Min length23

Characters and Unicode

Total characters9480
Distinct characters236
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)97.2%

Sample

1st row서울특별시 강남구 테헤란로6길 9 (역삼동, 장원빌딩)
2nd row서울특별시 강남구 영동대로 513, 코엑스 2층 C-060-1호 (삼성동)
3rd row서울특별시 강남구 테헤란로108길 11 (대치동)
4th row서울특별시 강남구 영동대로 513, 코엑스 4층 (삼성동)
5th row서울특별시 강남구 봉은사로 225, 4, 5, 6, 7층 (논현동)
ValueCountFrequency (%)
서울특별시 285
 
15.4%
강남구 284
 
15.3%
역삼동 73
 
3.9%
논현동 69
 
3.7%
삼성동 55
 
3.0%
4층 32
 
1.7%
3층 28
 
1.5%
대치동 22
 
1.2%
2층 21
 
1.1%
봉은사로 18
 
1.0%
Other values (570) 964
52.1%
2024-05-18T07:34:58.200846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1588
 
16.8%
1 339
 
3.6%
동 333
 
3.5%
남 326
 
3.4%
강 317
 
3.3%
, 296
 
3.1%
서 294
 
3.1%
구 291
 
3.1%
로 288
 
3.0%
별 286
 
3.0%
Other values (226) 5122
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5402
57.0%
Space Separator 1588
 
16.8%
Decimal Number 1559
 
16.4%
Other Punctuation 296
 
3.1%
Close Punctuation 286
 
3.0%
Open Punctuation 286
 
3.0%
Uppercase Letter 32
 
0.3%
Dash Punctuation 30
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 333
 
6.2%
남 326
 
6.0%
강 317
 
5.9%
서 294
 
5.4%
구 291
 
5.4%
로 288
 
5.3%
별 286
 
5.3%
시 286
 
5.3%
특 285
 
5.3%
울 285
 
5.3%
Other values (196) 2411
44.6%
Uppercase Letter
ValueCountFrequency (%)
C 7
21.9%
A 4
12.5%
B 4
12.5%
S 3
9.4%
M 3
9.4%
J 2
 
6.2%
E 2
 
6.2%
G 1
 
3.1%
L 1
 
3.1%
I 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 339
21.7%
2 212
13.6%
3 174
11.2%
4 160
10.3%
5 151
9.7%
0 150
9.6%
6 139
8.9%
8 81
 
5.2%
7 77
 
4.9%
9 76
 
4.9%
Space Separator
ValueCountFrequency (%)
1588
100.0%
Other Punctuation
ValueCountFrequency (%)
, 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5402
57.0%
Common 4046
42.7%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 333
 
6.2%
남 326
 
6.0%
강 317
 
5.9%
서 294
 
5.4%
구 291
 
5.4%
로 288
 
5.3%
별 286
 
5.3%
시 286
 
5.3%
특 285
 
5.3%
울 285
 
5.3%
Other values (196) 2411
44.6%
Common
ValueCountFrequency (%)
1588
39.2%
1 339
 
8.4%
, 296
 
7.3%
) 286
 
7.1%
( 286
 
7.1%
2 212
 
5.2%
3 174
 
4.3%
4 160
 
4.0%
5 151
 
3.7%
0 150
 
3.7%
Other values (6) 404
 
10.0%
Latin
ValueCountFrequency (%)
C 7
21.9%
A 4
12.5%
B 4
12.5%
S 3
9.4%
M 3
9.4%
J 2
 
6.2%
E 2
 
6.2%
G 1
 
3.1%
L 1
 
3.1%
I 1
 
3.1%
Other values (4) 4
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5402
57.0%
ASCII 4078
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1588
38.9%
1 339
 
8.3%
, 296
 
7.3%
) 286
 
7.0%
( 286
 
7.0%
2 212
 
5.2%
3 174
 
4.3%
4 160
 
3.9%
5 151
 
3.7%
0 150
 
3.7%
Other values (20) 436
 
10.7%
Hangul
ValueCountFrequency (%)
동 333
 
6.2%
남 326
 
6.0%
강 317
 
5.9%
서 294
 
5.4%
구 291
 
5.4%
로 288
 
5.3%
별 286
 
5.3%
시 286
 
5.3%
특 285
 
5.3%
울 285
 
5.3%
Other values (196) 2411
44.6%

도로명우편번호
Text

MISSING 

Distinct139
Distinct (%)52.9%
Missing26
Missing (%)9.0%
Memory size2.4 KiB
2024-05-18T07:34:59.076948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0152091
Min length5

Characters and Unicode

Total characters1319
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

Unique74 ?
Unique (%)28.1%

Sample

1st row06233
2nd row06164
3rd row06164
4th row06109
5th row06103
ValueCountFrequency (%)
06164 8
 
3.0%
06028 6
 
2.3%
06103 6
 
2.3%
06143 5
 
1.9%
06049 5
 
1.9%
06168 5
 
1.9%
06131 5
 
1.9%
06173 5
 
1.9%
06035 4
 
1.5%
06040 4
 
1.5%
Other values (129) 210
79.8%
2024-05-18T07:35:00.780579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 370
28.1%
6 321
24.3%
1 182
13.8%
3 100
 
7.6%
2 93
 
7.1%
4 77
 
5.8%
5 50
 
3.8%
7 46
 
3.5%
9 42
 
3.2%
8 37
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1318
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 370
28.1%
6 321
24.4%
1 182
13.8%
3 100
 
7.6%
2 93
 
7.1%
4 77
 
5.8%
5 50
 
3.8%
7 46
 
3.5%
9 42
 
3.2%
8 37
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 370
28.1%
6 321
24.3%
1 182
13.8%
3 100
 
7.6%
2 93
 
7.1%
4 77
 
5.8%
5 50
 
3.8%
7 46
 
3.5%
9 42
 
3.2%
8 37
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 370
28.1%
6 321
24.3%
1 182
13.8%
3 100
 
7.6%
2 93
 
7.1%
4 77
 
5.8%
5 50
 
3.8%
7 46
 
3.5%
9 42
 
3.2%
8 37
 
2.8%

사업장명
Text

Distinct287
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:35:01.339974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.4775087
Min length2

Characters and Unicode

Total characters2739
Distinct characters259
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)98.6%

Sample

1st row(주)두림컨벤션
2nd row(주)원-월드프로덕션
3rd row이케이맨파워(주)
4th row(주)코엑스
5th row(주)인터컴
ValueCountFrequency (%)
주식회사 85
 
21.7%
주)오렌지런 2
 
0.5%
에이치비스타 2
 
0.5%
글로벌 2
 
0.5%
유한회사 2
 
0.5%
스마트씨엠에스 2
 
0.5%
옴니투어 1
 
0.3%
주)두림컨벤션 1
 
0.3%
주)지엔컨설팅코리아 1
 
0.3%
차오름그룹 1
 
0.3%
Other values (292) 292
74.7%
2024-05-18T07:35:02.492685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 260
 
9.5%
( 175
 
6.4%
) 175
 
6.4%
이 131
 
4.8%
102
 
3.7%
스 100
 
3.7%
사 94
 
3.4%
회 89
 
3.2%
식 86
 
3.1%
니 51
 
1.9%
Other values (249) 1476
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2280
83.2%
Open Punctuation 175
 
6.4%
Close Punctuation 175
 
6.4%
Space Separator 102
 
3.7%
Decimal Number 3
 
0.1%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 260
 
11.4%
이 131
 
5.7%
스 100
 
4.4%
사 94
 
4.1%
회 89
 
3.9%
식 86
 
3.8%
니 51
 
2.2%
아 46
 
2.0%
케 45
 
2.0%
에 44
 
1.9%
Other values (240) 1334
58.5%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
9 1
33.3%
5 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2281
83.3%
Common 458
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 260
 
11.4%
이 131
 
5.7%
스 100
 
4.4%
사 94
 
4.1%
회 89
 
3.9%
식 86
 
3.8%
니 51
 
2.2%
아 46
 
2.0%
케 45
 
2.0%
에 44
 
1.9%
Other values (241) 1335
58.5%
Common
ValueCountFrequency (%)
( 175
38.2%
) 175
38.2%
102
22.3%
- 2
 
0.4%
1 1
 
0.2%
, 1
 
0.2%
9 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2280
83.2%
ASCII 458
 
16.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 260
 
11.4%
이 131
 
5.7%
스 100
 
4.4%
사 94
 
4.1%
회 89
 
3.9%
식 86
 
3.8%
니 51
 
2.2%
아 46
 
2.0%
케 45
 
2.0%
에 44
 
1.9%
Other values (240) 1334
58.5%
ASCII
ValueCountFrequency (%)
( 175
38.2%
) 175
38.2%
102
22.3%
- 2
 
0.4%
1 1
 
0.2%
, 1
 
0.2%
9 1
 
0.2%
5 1
 
0.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2006-11-28 11:44:27
Maximum2024-05-14 17:56:45
2024-05-18T07:35:02.963712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:35:03.551639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
U
160 
I
129 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 160
55.4%
I 129
44.6%

Length

2024-05-18T07:35:03.996923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:04.424503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 160
55.4%
i 129
44.6%

데이터갱신일자
Date

Distinct158
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:06:00
2024-05-18T07:35:04.857246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:35:05.392077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct254
Distinct (%)88.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean203754.7
Minimum200904.98
Maximum209144.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:35:05.823963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200904.98
5-th percentile201880.6
Q1202717.74
median203591.15
Q3204640.67
95-th percentile205769.78
Maximum209144.78
Range8239.8015
Interquartile range (IQR)1922.9239

Descriptive statistics

Standard deviation1435.2902
Coefficient of variation (CV)0.0070442066
Kurtosis2.8258603
Mean203754.7
Median Absolute Deviation (MAD)934.22705
Skewness1.2750299
Sum58681354
Variance2060058
MonotonicityNot monotonic
2024-05-18T07:35:06.457512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 6
 
2.1%
205340.631121567 3
 
1.0%
202425.73 3
 
1.0%
204049.984382448 3
 
1.0%
203851.702886164 2
 
0.7%
205271.275273064 2
 
0.7%
205259.527550336 2
 
0.7%
203702.477207367 2
 
0.7%
204144.399558744 2
 
0.7%
202424.001046209 2
 
0.7%
Other values (244) 261
90.3%
ValueCountFrequency (%)
200904.981638331 1
0.3%
201692.452010284 1
0.3%
201695.96817082 1
0.3%
201707.267657436 1
0.3%
201716.685551826 1
0.3%
201753.303709664 1
0.3%
201758.280565925 1
0.3%
201782.10122745 1
0.3%
201805.207747377 1
0.3%
201807.423796055 1
0.3%
ValueCountFrequency (%)
209144.783150288 1
0.3%
209052.072465426 1
0.3%
209038.198426983 1
0.3%
208992.499929602 2
0.7%
208937.760652081 2
0.7%
208442.593005122 1
0.3%
207317.037589568 1
0.3%
206618.425209149 1
0.3%
205834.057580829 1
0.3%
205828.559749581 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct254
Distinct (%)88.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean444962.06
Minimum440603.71
Maximum447970.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:35:07.027764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440603.71
5-th percentile442606.2
Q1444409.25
median445160.85
Q3445630.87
95-th percentile446602.21
Maximum447970.62
Range7366.9059
Interquartile range (IQR)1221.6193

Descriptive statistics

Standard deviation1196.1211
Coefficient of variation (CV)0.0026881418
Kurtosis1.3078525
Mean444962.06
Median Absolute Deviation (MAD)570.88506
Skewness-0.96986902
Sum1.2814907 × 108
Variance1430705.8
MonotonicityNot monotonic
2024-05-18T07:35:07.518389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 6
 
2.1%
445354.571117445 3
 
1.0%
444852.88 3
 
1.0%
444973.446470304 3
 
1.0%
442606.195243796 2
 
0.7%
445852.638814088 2
 
0.7%
445361.937086207 2
 
0.7%
445271.241490281 2
 
0.7%
446743.865278612 2
 
0.7%
445505.33231634 2
 
0.7%
Other values (244) 261
90.3%
ValueCountFrequency (%)
440603.712656822 1
0.3%
441163.795720684 1
0.3%
441214.041021633 2
0.7%
441229.833327751 1
0.3%
441706.866401197 1
0.3%
441840.885 1
0.3%
441883.937772691 1
0.3%
441907.931603494 1
0.3%
442050.172147888 1
0.3%
442186.988769203 1
0.3%
ValueCountFrequency (%)
447970.61850965 1
0.3%
447003.101793554 1
0.3%
446990.33168346 1
0.3%
446946.149947332 1
0.3%
446920.334865545 1
0.3%
446783.967552696 1
0.3%
446752.450886565 1
0.3%
446748.067183892 1
0.3%
446743.865278612 2
0.7%
446687.844329402 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
161 
국제회의기획업
128 

Length

Max length7
Median length4
Mean length5.3287197
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
55.7%
국제회의기획업 128
44.3%

Length

2024-05-18T07:35:08.152032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:08.453542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
55.7%
국제회의기획업 128
44.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
251 
관광사업
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 251
86.9%
관광사업 38
 
13.1%

Length

2024-05-18T07:35:08.760993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:09.094159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
86.9%
관광사업 38
 
13.1%

지역구분명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing283
Missing (%)97.9%
Memory size2.4 KiB
2024-05-18T07:35:09.673887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters32
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row일반상업지역
2nd row주거지역
3rd row주거지역
4th row일반주거지역
5th row일반상업지역
ValueCountFrequency (%)
일반상업지역 2
33.3%
주거지역 2
33.3%
일반주거지역 1
16.7%
중심상업지역 1
16.7%
2024-05-18T07:35:10.892319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
18.8%
역 6
18.8%
일 3
9.4%
반 3
9.4%
상 3
9.4%
업 3
9.4%
주 3
9.4%
거 3
9.4%
중 1
 
3.1%
심 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
18.8%
역 6
18.8%
일 3
9.4%
반 3
9.4%
상 3
9.4%
업 3
9.4%
주 3
9.4%
거 3
9.4%
중 1
 
3.1%
심 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
18.8%
역 6
18.8%
일 3
9.4%
반 3
9.4%
상 3
9.4%
업 3
9.4%
주 3
9.4%
거 3
9.4%
중 1
 
3.1%
심 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
18.8%
역 6
18.8%
일 3
9.4%
반 3
9.4%
상 3
9.4%
업 3
9.4%
주 3
9.4%
거 3
9.4%
중 1
 
3.1%
심 1
 
3.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:11.352523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:11.668555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
286 
기타
 
3

Length

Max length4
Median length4
Mean length3.9792388
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> 286
99.0%
기타 3
 
1.0%

Length

2024-05-18T07:35:11.999391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:12.337836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
99.0%
기타 3
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
284 
사무실
 
4
근린생활시설
 
1

Length

Max length6
Median length4
Mean length3.9930796
Min length3

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> 284
98.3%
사무실 4
 
1.4%
근린생활시설 1
 
0.3%

Length

2024-05-18T07:35:12.728294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:13.061392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
98.3%
사무실 4
 
1.4%
근린생활시설 1
 
0.3%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
273 
0
 
12
12
 
1
4
 
1
23
 
1

Length

Max length4
Median length4
Mean length3.8408304
Min length1

Unique

Unique4 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 273
94.5%
0 12
 
4.2%
12 1
 
0.3%
4 1
 
0.3%
23 1
 
0.3%
2 1
 
0.3%

Length

2024-05-18T07:35:13.445473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:13.856896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 273
94.5%
0 12
 
4.2%
12 1
 
0.3%
4 1
 
0.3%
23 1
 
0.3%
2 1
 
0.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
276 
0
 
12
1
 
1

Length

Max length4
Median length4
Mean length3.8650519
Min length1

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> 276
95.5%
0 12
 
4.2%
1 1
 
0.3%

Length

2024-05-18T07:35:14.258940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:14.701597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 276
95.5%
0 12
 
4.2%
1 1
 
0.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:15.123221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:15.562310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:16.017227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:16.428678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

영문상호명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing283
Missing (%)97.9%
Memory size2.4 KiB
2024-05-18T07:35:16.925469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length20
Min length2

Characters and Unicode

Total characters120
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowM&C communications co.ltd
2nd rowA1
3rd rowBQ Co., Ltd.
4th rowConnect Communications Inc.
5th rowBistrakorea co,. ltd.
ValueCountFrequency (%)
communications 2
 
11.1%
co 2
 
11.1%
ltd 2
 
11.1%
m&c 1
 
5.6%
co.ltd 1
 
5.6%
a1 1
 
5.6%
bq 1
 
5.6%
connect 1
 
5.6%
inc 1
 
5.6%
bistrakorea 1
 
5.6%
Other values (5) 5
27.8%
2024-05-18T07:35:17.760454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.0%
o 12
 
10.0%
t 9
 
7.5%
c 7
 
5.8%
n 7
 
5.8%
. 7
 
5.8%
C 6
 
5.0%
a 5
 
4.2%
i 5
 
4.2%
s 4
 
3.3%
Other values (21) 46
38.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 76
63.3%
Uppercase Letter 20
 
16.7%
Space Separator 12
 
10.0%
Other Punctuation 11
 
9.2%
Decimal Number 1
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 12
15.8%
t 9
11.8%
c 7
9.2%
n 7
9.2%
a 5
 
6.6%
i 5
 
6.6%
s 4
 
5.3%
r 4
 
5.3%
l 4
 
5.3%
d 4
 
5.3%
Other values (7) 15
19.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
30.0%
L 2
 
10.0%
E 2
 
10.0%
G 2
 
10.0%
I 2
 
10.0%
M 2
 
10.0%
B 2
 
10.0%
Q 1
 
5.0%
A 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
, 3
27.3%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 96
80.0%
Common 24
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 12
 
12.5%
t 9
 
9.4%
c 7
 
7.3%
n 7
 
7.3%
C 6
 
6.2%
a 5
 
5.2%
i 5
 
5.2%
s 4
 
4.2%
r 4
 
4.2%
l 4
 
4.2%
Other values (16) 33
34.4%
Common
ValueCountFrequency (%)
12
50.0%
. 7
29.2%
, 3
 
12.5%
1 1
 
4.2%
& 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
 
10.0%
o 12
 
10.0%
t 9
 
7.5%
c 7
 
5.8%
n 7
 
5.8%
. 7
 
5.8%
C 6
 
5.0%
a 5
 
4.2%
i 5
 
4.2%
s 4
 
3.3%
Other values (21) 46
38.3%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
283 
PROFESSIONAL CONGRESS ORGANIZER
 
5
MICE Agency
 
1

Length

Max length31
Median length4
Mean length4.4913495
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> 283
97.9%
PROFESSIONAL CONGRESS ORGANIZER 5
 
1.7%
MICE Agency 1
 
0.3%

Length

2024-05-18T07:35:18.430201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:18.760309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
94.3%
professional 5
 
1.7%
congress 5
 
1.7%
organizer 5
 
1.7%
mice 1
 
0.3%
agency 1
 
0.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:19.139223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:19.595004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:19.930227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:20.267671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:20.851972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:21.164910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:21.485448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:22.809680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:23.186339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:23.506921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)47.4%
Missing270
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean41.407895
Minimum0
Maximum281.93
Zeros11
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:35:23.780915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q354.405
95-th percentile179.393
Maximum281.93
Range281.93
Interquartile range (IQR)54.405

Descriptive statistics

Standard deviation75.220845
Coefficient of variation (CV)1.8165822
Kurtosis5.3740006
Mean41.407895
Median Absolute Deviation (MAD)0
Skewness2.3003909
Sum786.75
Variance5658.1756
MonotonicityNot monotonic
2024-05-18T07:35:24.160288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 11
 
3.8%
127.01 1
 
0.3%
60.0 1
 
0.3%
53.0 1
 
0.3%
281.93 1
 
0.3%
168.0 1
 
0.3%
10.0 1
 
0.3%
31.0 1
 
0.3%
55.81 1
 
0.3%
(Missing) 270
93.4%
ValueCountFrequency (%)
0.0 11
3.8%
10.0 1
 
0.3%
31.0 1
 
0.3%
53.0 1
 
0.3%
55.81 1
 
0.3%
60.0 1
 
0.3%
127.01 1
 
0.3%
168.0 1
 
0.3%
281.93 1
 
0.3%
ValueCountFrequency (%)
281.93 1
 
0.3%
168.0 1
 
0.3%
127.01 1
 
0.3%
60.0 1
 
0.3%
55.81 1
 
0.3%
53.0 1
 
0.3%
31.0 1
 
0.3%
10.0 1
 
0.3%
0.0 11
3.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
277 
0
 
12

Length

Max length4
Median length4
Mean length3.8754325
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> 277
95.8%
0 12
 
4.2%

Length

2024-05-18T07:35:24.589544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:35:24.892619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 277
95.8%
0 12
 
4.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)53.3%
Missing199
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean3.3544086 × 108
Minimum0
Maximum6.2671548 × 109
Zeros10
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:35:25.324555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1 × 108
Q32.6470709 × 108
95-th percentile1.3366388 × 109
Maximum6.2671548 × 109
Range6.2671548 × 109
Interquartile range (IQR)2.1470709 × 108

Descriptive statistics

Standard deviation8.0186423 × 108
Coefficient of variation (CV)2.3904787
Kurtosis35.188856
Mean3.3544086 × 108
Median Absolute Deviation (MAD)50000000
Skewness5.4069453
Sum3.0189677 × 1010
Variance6.4298624 × 1017
MonotonicityNot monotonic
2024-05-18T07:35:25.777978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
50000000 17
 
5.9%
100000000 11
 
3.8%
0 10
 
3.5%
200000000 7
 
2.4%
300000000 2
 
0.7%
120522982 1
 
0.3%
393616241 1
 
0.3%
54553393 1
 
0.3%
60000000 1
 
0.3%
1515566941 1
 
0.3%
Other values (38) 38
 
13.1%
(Missing) 199
68.9%
ValueCountFrequency (%)
0 10
3.5%
50000000 17
5.9%
50343043 1
 
0.3%
51000000 1
 
0.3%
51169778 1
 
0.3%
51433190 1
 
0.3%
54553393 1
 
0.3%
54587058 1
 
0.3%
58627018 1
 
0.3%
59988351 1
 
0.3%
ValueCountFrequency (%)
6267154831 1
0.3%
3000000000 1
0.3%
2310921169 1
0.3%
2131370509 1
0.3%
1515566941 1
0.3%
1117948894 1
0.3%
1079907595 1
0.3%
813000000 1
0.3%
732000000 1
0.3%
618875230 1
0.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)47.4%
Missing270
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean41.421053
Minimum0
Maximum282
Zeros11
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:35:26.202225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q354.5
95-th percentile179.4
Maximum282
Range282
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation75.234682
Coefficient of variation (CV)1.8163392
Kurtosis5.3747958
Mean41.421053
Median Absolute Deviation (MAD)0
Skewness2.3002929
Sum787
Variance5660.2573
MonotonicityNot monotonic
2024-05-18T07:35:26.646145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 11
 
3.8%
127 1
 
0.3%
60 1
 
0.3%
53 1
 
0.3%
282 1
 
0.3%
168 1
 
0.3%
10 1
 
0.3%
31 1
 
0.3%
56 1
 
0.3%
(Missing) 270
93.4%
ValueCountFrequency (%)
0 11
3.8%
10 1
 
0.3%
31 1
 
0.3%
53 1
 
0.3%
56 1
 
0.3%
60 1
 
0.3%
127 1
 
0.3%
168 1
 
0.3%
282 1
 
0.3%
ValueCountFrequency (%)
282 1
 
0.3%
168 1
 
0.3%
127 1
 
0.3%
60 1
 
0.3%
56 1
 
0.3%
53 1
 
0.3%
31 1
 
0.3%
10 1
 
0.3%
0 11
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03220000CDFI22631019890000011989-12-23<NA>1영업/정상13영업중<NA><NA><NA><NA>563-0532, 565-4514<NA><NA>서울특별시 강남구 역삼동 824-38 장원빌딩 5층서울특별시 강남구 테헤란로6길 9 (역삼동, 장원빌딩)06233(주)두림컨벤션2024-02-01 14:25:55U2023-12-02 00:03:00.0<NA>202650.481909443977.595364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFI22631019910000011991-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-551-5581<NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 2층 C-060-1호 (삼성동)06164(주)원-월드프로덕션2023-03-30 14:33:45U2022-12-04 00:01:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFI226310199100000219910119<NA>3폐업3폐업20100127<NA><NA><NA>569-4327<NA>135502서울특별시 강남구 대치동 997-9서울특별시 강남구 테헤란로108길 11 (대치동)<NA>이케이맨파워(주)2010-01-28 17:02:27I2018-08-31 23:59:59.0<NA>205779.007718445168.644229국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFI226310199200000119920129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6000-1016<NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 4층 (삼성동)06164(주)코엑스2022-04-11 17:23:58U2021-12-03 23:03:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFI22631019940000011994-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-566-5590<NA><NA>서울특별시 강남구 논현동 236-7서울특별시 강남구 봉은사로 225, 4, 5, 6, 7층 (논현동)06109(주)인터컴2023-03-30 17:41:37U2022-12-04 00:01:00.0<NA>203178.101863445139.816201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFI22631019950000011995-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA>0260004000,<NA>135-833서울특별시 강남구 논현동 268-11서울특별시 강남구 선릉로 613, 비102호 (논현동)06103(주)한통2023-05-16 17:47:59U2022-12-04 23:08:00.0<NA>203736.905005445476.2982<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI22631019960000011996-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>512-5560<NA><NA>서울특별시 강남구 신사동 532-1서울특별시 강남구 압구정로10길 9 (신사동)06028(주)사계이벤트2024-02-01 14:28:19U2023-12-02 00:03:00.0<NA>201876.763775446752.450887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFI22631019960000021996-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 105-7 두산빌딩 7층서울특별시 강남구 언주로 726 (논현동, 두산빌딩)06057(주)오리콤2024-04-21 19:30:38U2023-12-03 22:03:00.0<NA>203050.78389446316.514036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFI226310199800000119980908<NA>1영업/정상13영업중<NA><NA><NA><NA>02-557-7703<NA><NA>서울특별시 강남구 삼성동 140-3 대림아크로텔 345호서울특별시 강남구 선릉로 524 (삼성동, 선릉대림아크로텔)06161(주)컨벡스스피커즈인터내셔날2015-08-12 16:09:07I2018-08-31 23:59:59.0<NA>204181.823244444950.728645국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFI226310199800000219981202<NA>1영업/정상13영업중<NA><NA><NA><NA>527-4700<NA><NA>서울특별시 강남구 역삼동 705-1 빅토리아빌딩 1104호서울특별시 강남구 테헤란로 327 (역삼동, 빅토리아오피스텔)06150(주)미라클 토탈 시스템2015-08-12 16:09:56I2018-08-31 23:59:59.0<NA>204091.578937444708.18257국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><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
2793220000CDFI22631020240000042024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6951-3981<NA><NA>서울특별시 강남구 역삼동 628-15서울특별시 강남구 테헤란로25길 54, 201호, 203호 (역삼동)06126주식회사 밋잇2024-02-15 17:52:07I2023-12-01 23:07:00.0<NA>202998.056897444660.428687<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2803220000CDFI22631020240000052020-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-799-2600<NA><NA>서울특별시 강남구 논현동 49-4 신영와코루빌딩서울특별시 강남구 강남대로 566, 신영와코루빌딩 8층, 9층 (논현동)06044(주)이투데이2024-02-23 16:44:39I2023-12-01 22:05:00.0<NA>201811.305286445614.558651<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2813220000CDFI22631020240000062024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3452-5454<NA><NA>서울특별시 강남구 삼성동 145-2 진양빌딩서울특별시 강남구 봉은사로 504, 진양빌딩 402호 (삼성동)06163케이드림2024-02-26 17:58:21I2023-12-01 22:08:00.0<NA>204715.649628445633.285715<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2823220000CDFI22631020240000072024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8880-7594<NA><NA>서울특별시 강남구 역삼동 705-8서울특별시 강남구 선릉로91길 14, 402호 (역삼동)06150(주)망고스타코리아2024-03-18 17:58:12I2023-12-02 22:00:00.0<NA>204127.676941444743.256074<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2833220000CDFI22631020240000082024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2635-3545<NA><NA>서울특별시 강남구 논현동 268-11 진영빌딩서울특별시 강남구 선릉로 613, 진영빌딩 1층 101호 (논현동)06103(주)가빈컴퍼니2024-03-18 17:58:49I2023-12-02 22:00:00.0<NA>203736.905005445476.2982<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2843220000CDFI22631020240000092024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159 도심공항타워서울특별시 강남구 테헤란로87길 36, 도심공항타워 15층 1505~1507호 (삼성동)06164(주)이든앤앨리스마케팅2024-04-01 13:56:43I2023-12-04 00:03:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2853220000CDFI22631020240000102024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-8456<NA><NA>서울특별시 강남구 논현동 277-20 아모제논현빌딩서울특별시 강남구 봉은사로 317, 아모제논현빌딩 3층 3169호 (논현동)06103주식회사 테스트모션2024-04-12 17:54:47I2023-12-03 23:04:00.0<NA>203607.06843445315.578729<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2863220000CDFI22631020240000112018-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-1189<NA><NA>서울특별시 강남구 논현동 237-10 서진빌딩서울특별시 강남구 언주로 603, 서진빌딩 4층 (논현동)06109주식회사 에이치비스타2024-04-23 18:05:13I2023-12-03 22:05:00.0<NA>203242.466677445211.460368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2873220000CDFI22631020240000122024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6242-3202<NA><NA>서울특별시 강남구 논현동 216-3 히아빌딩서울특별시 강남구 논현로 650-1, 히아빌딩 6층 (논현동)06106주식회사 엘비즈코리아2024-04-25 14:08:50I2023-12-03 22:07:00.0<NA>202783.921294445515.701915<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2883220000CDFI22631020240000132024-05-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 157-27 브이플렉스서울특별시 강남구 테헤란로 501, 브이플렉스 5층 509-6호 (삼성동)06168주식회사 비바플로우2024-05-14 17:56:45I2023-12-04 23:06:00.0<NA>204947.90904445035.104597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>