Overview

Dataset statistics

Number of variables60
Number of observations253
Missing cells6573
Missing cells (%)43.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.6 KiB
Average record size in memory520.5 B

Variable types

Categorical21
Text6
DateTime4
Numeric12
Unsupported17

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17614/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (63.8%)Imbalance
데이터갱신구분 is highly imbalanced (55.7%)Imbalance
지역구분명 is highly imbalanced (85.0%)Imbalance
주변환경명 is highly imbalanced (85.2%)Imbalance
보험기관명 is highly imbalanced (53.7%)Imbalance
건물용도명 is highly imbalanced (69.8%)Imbalance
영문상호주소 is highly imbalanced (78.6%)Imbalance
인허가취소일자 has 240 (94.9%) missing valuesMissing
폐업일자 has 135 (53.4%) missing valuesMissing
휴업시작일자 has 253 (100.0%) missing valuesMissing
휴업종료일자 has 253 (100.0%) missing valuesMissing
재개업일자 has 253 (100.0%) missing valuesMissing
전화번호 has 103 (40.7%) missing valuesMissing
소재지면적 has 253 (100.0%) missing valuesMissing
도로명우편번호 has 24 (9.5%) missing valuesMissing
업태구분명 has 253 (100.0%) missing valuesMissing
문화사업자구분명 has 253 (100.0%) missing valuesMissing
총층수 has 214 (84.6%) missing valuesMissing
제작취급품목내용 has 253 (100.0%) missing valuesMissing
지상층수 has 217 (85.8%) missing valuesMissing
지하층수 has 217 (85.8%) missing valuesMissing
영문상호명 has 234 (92.5%) missing valuesMissing
선박제원 has 253 (100.0%) missing valuesMissing
기념품종류 has 253 (100.0%) missing valuesMissing
시설면적 has 198 (78.3%) missing valuesMissing
놀이기구수내역 has 253 (100.0%) missing valuesMissing
방송시설유무 has 253 (100.0%) missing valuesMissing
발전시설유무 has 253 (100.0%) missing valuesMissing
의무실유무 has 253 (100.0%) missing valuesMissing
안내소유무 has 253 (100.0%) missing valuesMissing
기획여행보험시작일자 has 253 (100.0%) missing valuesMissing
기획여행보험종료일자 has 253 (100.0%) missing valuesMissing
자본금 has 161 (63.6%) missing valuesMissing
보험시작일자 has 164 (64.8%) missing valuesMissing
보험종료일자 has 163 (64.4%) missing valuesMissing
부대시설내역 has 253 (100.0%) missing valuesMissing
시설규모 has 198 (78.3%) 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 24 (9.5%) zerosZeros
지상층수 has 25 (9.9%) zerosZeros
지하층수 has 25 (9.9%) zerosZeros
시설면적 has 20 (7.9%) zerosZeros
자본금 has 3 (1.2%) zerosZeros
시설규모 has 20 (7.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:22:51.978403
Analysis finished2024-04-29 19:22:53.027472
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3120000
253 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 253
100.0%

Length

2024-04-30T04:22:53.092650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:53.163633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 253
100.0%

관리번호
Text

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:22:53.300391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5060
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

Unique253 ?
Unique (%)100.0%

Sample

1st rowCDFI2260041992000001
2nd rowCDFI2260041994000001
3rd rowCDFI2260041996000001
4th rowCDFI2260041997000001
5th rowCDFI2260041998000001
ValueCountFrequency (%)
cdfi2260041992000001 1
 
0.4%
cdfi2260042020000007 1
 
0.4%
cdfi2260042020000011 1
 
0.4%
cdfi2260042020000012 1
 
0.4%
cdfi2260042020000014 1
 
0.4%
cdfi2260042020000015 1
 
0.4%
cdfi2260042020000016 1
 
0.4%
cdfi2260042020000017 1
 
0.4%
cdfi2260042020000018 1
 
0.4%
cdfi2260042020000019 1
 
0.4%
Other values (243) 243
96.0%
2024-04-30T04:22:53.571781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1933
38.2%
2 976
19.3%
4 308
 
6.1%
6 295
 
5.8%
1 264
 
5.2%
C 253
 
5.0%
D 253
 
5.0%
F 253
 
5.0%
I 253
 
5.0%
3 80
 
1.6%
Other values (4) 192
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4048
80.0%
Uppercase Letter 1012
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1933
47.8%
2 976
24.1%
4 308
 
7.6%
6 295
 
7.3%
1 264
 
6.5%
3 80
 
2.0%
5 52
 
1.3%
8 50
 
1.2%
9 49
 
1.2%
7 41
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 253
25.0%
D 253
25.0%
F 253
25.0%
I 253
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4048
80.0%
Latin 1012
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1933
47.8%
2 976
24.1%
4 308
 
7.6%
6 295
 
7.3%
1 264
 
6.5%
3 80
 
2.0%
5 52
 
1.3%
8 50
 
1.2%
9 49
 
1.2%
7 41
 
1.0%
Latin
ValueCountFrequency (%)
C 253
25.0%
D 253
25.0%
F 253
25.0%
I 253
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1933
38.2%
2 976
19.3%
4 308
 
6.1%
6 295
 
5.8%
1 264
 
5.2%
C 253
 
5.0%
D 253
 
5.0%
F 253
 
5.0%
I 253
 
5.0%
3 80
 
1.6%
Other values (4) 192
 
3.8%

인허가일자
Date

Distinct244
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1990-04-10 00:00:00
Maximum2024-03-26 00:00:00
2024-04-30T04:22:53.701034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:53.813014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)46.2%
Missing240
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean20175678
Minimum20111118
Maximum20191216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:22:53.909980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111118
5-th percentile20116873
Q120171222
median20191216
Q320191216
95-th percentile20191216
Maximum20191216
Range80098
Interquartile range (IQR)19994

Descriptive statistics

Standard deviation27665.881
Coefficient of variation (CV)0.0013712492
Kurtosis2.4198275
Mean20175678
Median Absolute Deviation (MAD)0
Skewness-1.8848054
Sum2.6228381 × 108
Variance7.6540095 × 108
MonotonicityNot monotonic
2024-04-30T04:22:54.006491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20191216 8
 
3.2%
20111118 1
 
0.4%
20120710 1
 
0.4%
20170825 1
 
0.4%
20180205 1
 
0.4%
20171222 1
 
0.4%
(Missing) 240
94.9%
ValueCountFrequency (%)
20111118 1
 
0.4%
20120710 1
 
0.4%
20170825 1
 
0.4%
20171222 1
 
0.4%
20180205 1
 
0.4%
20191216 8
3.2%
ValueCountFrequency (%)
20191216 8
3.2%
20180205 1
 
0.4%
20171222 1
 
0.4%
20170825 1
 
0.4%
20120710 1
 
0.4%
20111118 1
 
0.4%

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
122 
3
65 
4
42 
5
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 122
48.2%
3 65
25.7%
4 42
 
16.6%
5 24
 
9.5%

Length

2024-04-30T04:22:54.104804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:54.184219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 122
48.2%
3 65
25.7%
4 42
 
16.6%
5 24
 
9.5%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
122 
폐업
65 
취소/말소/만료/정지/중지
42 
제외/삭제/전출
24 

Length

Max length14
Median length8
Mean length6.0079051
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 122
48.2%
폐업 65
25.7%
취소/말소/만료/정지/중지 42
 
16.6%
제외/삭제/전출 24
 
9.5%

Length

2024-04-30T04:22:54.295421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:54.401597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 122
48.2%
폐업 65
25.7%
취소/말소/만료/정지/중지 42
 
16.6%
제외/삭제/전출 24
 
9.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
122 
3
65 
35
29 
15
24 
31
13 

Length

Max length2
Median length2
Mean length1.743083
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row35
3rd row35
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 122
48.2%
3 65
25.7%
35 29
 
11.5%
15 24
 
9.5%
31 13
 
5.1%

Length

2024-04-30T04:22:54.504280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:54.590136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 122
48.2%
3 65
25.7%
35 29
 
11.5%
15 24
 
9.5%
31 13
 
5.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
122 
폐업
65 
직권말소
29 
전출
24 
등록취소
13 

Length

Max length4
Median length3
Mean length2.8142292
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 122
48.2%
폐업 65
25.7%
직권말소 29
 
11.5%
전출 24
 
9.5%
등록취소 13
 
5.1%

Length

2024-04-30T04:22:54.694440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:54.794308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 122
48.2%
폐업 65
25.7%
직권말소 29
 
11.5%
전출 24
 
9.5%
등록취소 13
 
5.1%

폐업일자
Date

MISSING 

Distinct84
Distinct (%)71.2%
Missing135
Missing (%)53.4%
Memory size2.1 KiB
Minimum2009-12-31 00:00:00
Maximum2024-04-02 00:00:00
2024-04-30T04:22:54.921304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:55.058038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct146
Distinct (%)97.3%
Missing103
Missing (%)40.7%
Memory size2.1 KiB
2024-04-30T04:22:55.308135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.02
Min length7

Characters and Unicode

Total characters1503
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)94.7%

Sample

1st row023233541
2nd row363-1391
3rd row02-322-0550
4th row363-1331
5th row337-0888
ValueCountFrequency (%)
02-757-2151 2
 
1.3%
735-9330 2
 
1.3%
02-325-8988 2
 
1.3%
023331688 2
 
1.3%
023185886 1
 
0.7%
027394434 1
 
0.7%
0262052768 1
 
0.7%
0222025002 1
 
0.7%
02-701-0620 1
 
0.7%
0220108938 1
 
0.7%
Other values (138) 138
90.8%
2024-04-30T04:22:55.709402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
15.1%
2 214
14.2%
3 201
13.4%
- 159
10.6%
8 145
9.6%
7 128
8.5%
6 104
6.9%
5 98
6.5%
1 88
 
5.9%
4 71
 
4.7%
Other values (3) 68
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1340
89.2%
Dash Punctuation 159
 
10.6%
Space Separator 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
16.9%
2 214
16.0%
3 201
15.0%
8 145
10.8%
7 128
9.6%
6 104
7.8%
5 98
7.3%
1 88
 
6.6%
4 71
 
5.3%
9 64
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1503
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
15.1%
2 214
14.2%
3 201
13.4%
- 159
10.6%
8 145
9.6%
7 128
8.5%
6 104
6.9%
5 98
6.5%
1 88
 
5.9%
4 71
 
4.7%
Other values (3) 68
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1503
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
15.1%
2 214
14.2%
3 201
13.4%
- 159
10.6%
8 145
9.6%
7 128
8.5%
6 104
6.9%
5 98
6.5%
1 88
 
5.9%
4 71
 
4.7%
Other values (3) 68
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct30
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
190 
120110
23 
120030
 
4
120825
 
3
120012
 
3
Other values (25)
30 

Length

Max length7
Median length4
Mean length4.5177866
Min length4

Unique

Unique21 ?
Unique (%)8.3%

Sample

1st row<NA>
2nd row120160
3rd row120110
4th row120013
5th row120110

Common Values

ValueCountFrequency (%)
<NA> 190
75.1%
120110 23
 
9.1%
120030 4
 
1.6%
120825 3
 
1.2%
120012 3
 
1.2%
120180 3
 
1.2%
120830 2
 
0.8%
120170 2
 
0.8%
120131 2
 
0.8%
120829 1
 
0.4%
Other values (20) 20
 
7.9%

Length

2024-04-30T04:22:55.848974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 190
75.1%
120110 23
 
9.1%
120030 4
 
1.6%
120825 3
 
1.2%
120012 3
 
1.2%
120180 3
 
1.2%
120830 2
 
0.8%
120170 2
 
0.8%
120131 2
 
0.8%
120814 1
 
0.4%
Other values (20) 20
 
7.9%

지번주소
Text

Distinct217
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:22:56.075405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length27.01581
Min length18

Characters and Unicode

Total characters6835
Distinct characters184
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

Unique197 ?
Unique (%)77.9%

Sample

1st row서울특별시 서대문구 연희동 80-7 파라다이스텔에스비
2nd row서울특별시 서대문구 대신동 124-4
3rd row서울특별시 서대문구 연희동 88-2 제임스빌 5층
4th row서울특별시 서대문구 충정로3가 189-8 미동(아) 지하상가 112호
5th row서울특별시 서대문구 연희동 193-7번지 영화빌딩 403호
ValueCountFrequency (%)
서울특별시 253
19.3%
서대문구 252
19.2%
연희동 65
 
5.0%
창천동 42
 
3.2%
충정로3가 26
 
2.0%
2층 25
 
1.9%
충정로2가 22
 
1.7%
503-8 21
 
1.6%
합동 17
 
1.3%
대현동 16
 
1.2%
Other values (327) 574
43.7%
2024-04-30T04:22:56.430691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1132
 
16.6%
서 506
 
7.4%
1 304
 
4.4%
대 281
 
4.1%
시 265
 
3.9%
구 255
 
3.7%
문 254
 
3.7%
울 253
 
3.7%
별 253
 
3.7%
특 253
 
3.7%
Other values (174) 3079
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4060
59.4%
Decimal Number 1409
 
20.6%
Space Separator 1132
 
16.6%
Dash Punctuation 197
 
2.9%
Uppercase Letter 27
 
0.4%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 506
 
12.5%
대 281
 
6.9%
시 265
 
6.5%
구 255
 
6.3%
문 254
 
6.3%
울 253
 
6.2%
별 253
 
6.2%
특 253
 
6.2%
동 217
 
5.3%
호 95
 
2.3%
Other values (145) 1428
35.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
25.9%
K 5
18.5%
S 5
18.5%
A 3
11.1%
C 1
 
3.7%
D 1
 
3.7%
M 1
 
3.7%
L 1
 
3.7%
G 1
 
3.7%
N 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 304
21.6%
2 220
15.6%
3 189
13.4%
0 160
11.4%
4 128
9.1%
5 107
 
7.6%
7 77
 
5.5%
6 76
 
5.4%
9 75
 
5.3%
8 73
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
s 1
33.3%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4060
59.4%
Common 2745
40.2%
Latin 30
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 506
 
12.5%
대 281
 
6.9%
시 265
 
6.5%
구 255
 
6.3%
문 254
 
6.3%
울 253
 
6.2%
별 253
 
6.2%
특 253
 
6.2%
동 217
 
5.3%
호 95
 
2.3%
Other values (145) 1428
35.2%
Common
ValueCountFrequency (%)
1132
41.2%
1 304
 
11.1%
2 220
 
8.0%
- 197
 
7.2%
3 189
 
6.9%
0 160
 
5.8%
4 128
 
4.7%
5 107
 
3.9%
7 77
 
2.8%
6 76
 
2.8%
Other values (5) 155
 
5.6%
Latin
ValueCountFrequency (%)
B 7
23.3%
K 5
16.7%
S 5
16.7%
A 3
10.0%
C 1
 
3.3%
D 1
 
3.3%
M 1
 
3.3%
L 1
 
3.3%
G 1
 
3.3%
e 1
 
3.3%
Other values (4) 4
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4060
59.4%
ASCII 2775
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1132
40.8%
1 304
 
11.0%
2 220
 
7.9%
- 197
 
7.1%
3 189
 
6.8%
0 160
 
5.8%
4 128
 
4.6%
5 107
 
3.9%
7 77
 
2.8%
6 76
 
2.7%
Other values (19) 185
 
6.7%
Hangul
ValueCountFrequency (%)
서 506
 
12.5%
대 281
 
6.9%
시 265
 
6.5%
구 255
 
6.3%
문 254
 
6.3%
울 253
 
6.2%
별 253
 
6.2%
특 253
 
6.2%
동 217
 
5.3%
호 95
 
2.3%
Other values (145) 1428
35.2%

도로명주소
Text

Distinct235
Distinct (%)93.6%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-04-30T04:22:56.672335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length35.195219
Min length23

Characters and Unicode

Total characters8834
Distinct characters205
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

Unique223 ?
Unique (%)88.8%

Sample

1st row서울특별시 서대문구 연희로 158, 3층 315호 (연희동, 파라다이스텔에스비)
2nd row서울특별시 서대문구 연대동문길 122 (대신동)
3rd row서울특별시 서대문구 연희로 134-1 (연희동,제임스빌 5층)
4th row서울특별시 서대문구 충정로7길 9 (충정로3가,미동(아) 지하상가 112호)
5th row서울특별시 서대문구 연희로 77-12, 403호 (연희동, 영화빌딩)
ValueCountFrequency (%)
서울특별시 251
 
14.6%
서대문구 250
 
14.6%
연희동 57
 
3.3%
2층 54
 
3.2%
창천동 39
 
2.3%
신촌로 38
 
2.2%
연희로 38
 
2.2%
서소문로 28
 
1.6%
충정로3가 25
 
1.5%
25 21
 
1.2%
Other values (397) 913
53.3%
2024-04-30T04:22:57.021623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1474
 
16.7%
서 531
 
6.0%
2 307
 
3.5%
, 300
 
3.4%
대 298
 
3.4%
로 288
 
3.3%
문 285
 
3.2%
시 265
 
3.0%
) 256
 
2.9%
( 256
 
2.9%
Other values (195) 4574
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5061
57.3%
Space Separator 1474
 
16.7%
Decimal Number 1413
 
16.0%
Other Punctuation 300
 
3.4%
Close Punctuation 256
 
2.9%
Open Punctuation 256
 
2.9%
Dash Punctuation 42
 
0.5%
Uppercase Letter 28
 
0.3%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 531
 
10.5%
대 298
 
5.9%
로 288
 
5.7%
문 285
 
5.6%
시 265
 
5.2%
구 253
 
5.0%
울 252
 
5.0%
별 251
 
5.0%
특 251
 
5.0%
동 218
 
4.3%
Other values (165) 2169
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
28.6%
S 5
17.9%
K 5
17.9%
C 2
 
7.1%
A 2
 
7.1%
L 1
 
3.6%
G 1
 
3.6%
M 1
 
3.6%
D 1
 
3.6%
N 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 307
21.7%
1 255
18.0%
3 213
15.1%
0 148
10.5%
5 139
9.8%
4 95
 
6.7%
7 92
 
6.5%
6 78
 
5.5%
9 44
 
3.1%
8 42
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
s 1
33.3%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1474
100.0%
Other Punctuation
ValueCountFrequency (%)
, 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5061
57.3%
Common 3742
42.4%
Latin 31
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 531
 
10.5%
대 298
 
5.9%
로 288
 
5.7%
문 285
 
5.6%
시 265
 
5.2%
구 253
 
5.0%
울 252
 
5.0%
별 251
 
5.0%
특 251
 
5.0%
동 218
 
4.3%
Other values (165) 2169
42.9%
Common
ValueCountFrequency (%)
1474
39.4%
2 307
 
8.2%
, 300
 
8.0%
) 256
 
6.8%
( 256
 
6.8%
1 255
 
6.8%
3 213
 
5.7%
0 148
 
4.0%
5 139
 
3.7%
4 95
 
2.5%
Other values (6) 299
 
8.0%
Latin
ValueCountFrequency (%)
B 8
25.8%
S 5
16.1%
K 5
16.1%
C 2
 
6.5%
A 2
 
6.5%
L 1
 
3.2%
G 1
 
3.2%
e 1
 
3.2%
M 1
 
3.2%
D 1
 
3.2%
Other values (4) 4
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5061
57.3%
ASCII 3773
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1474
39.1%
2 307
 
8.1%
, 300
 
8.0%
) 256
 
6.8%
( 256
 
6.8%
1 255
 
6.8%
3 213
 
5.6%
0 148
 
3.9%
5 139
 
3.7%
4 95
 
2.5%
Other values (20) 330
 
8.7%
Hangul
ValueCountFrequency (%)
서 531
 
10.5%
대 298
 
5.9%
로 288
 
5.7%
문 285
 
5.6%
시 265
 
5.2%
구 253
 
5.0%
울 252
 
5.0%
별 251
 
5.0%
특 251
 
5.0%
동 218
 
4.3%
Other values (165) 2169
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)31.4%
Missing24
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean7796.3493
Minimum3020
Maximum120816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:22:57.141598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3020
5-th percentile3658
Q13708
median3737
Q33766
95-th percentile3786
Maximum120816
Range117796
Interquartile range (IQR)58

Descriptive statistics

Standard deviation21434.587
Coefficient of variation (CV)2.7493108
Kurtosis24.212741
Mean7796.3493
Median Absolute Deviation (MAD)29
Skewness5.0991144
Sum1785364
Variance4.5944154 × 108
MonotonicityNot monotonic
2024-04-30T04:22:57.267019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3785 26
 
10.3%
3741 24
 
9.5%
3708 19
 
7.5%
3736 13
 
5.1%
3780 7
 
2.8%
3766 7
 
2.8%
3703 7
 
2.8%
3751 6
 
2.4%
3786 6
 
2.4%
3737 6
 
2.4%
Other values (62) 108
42.7%
(Missing) 24
 
9.5%
ValueCountFrequency (%)
3020 1
 
0.4%
3615 2
0.8%
3624 1
 
0.4%
3630 1
 
0.4%
3633 1
 
0.4%
3634 1
 
0.4%
3635 1
 
0.4%
3641 1
 
0.4%
3657 1
 
0.4%
3658 4
1.6%
ValueCountFrequency (%)
120816 1
 
0.4%
120170 1
 
0.4%
120132 1
 
0.4%
120110 5
 
2.0%
3787 2
 
0.8%
3786 6
 
2.4%
3785 26
10.3%
3784 2
 
0.8%
3781 1
 
0.4%
3780 7
 
2.8%

사업장명
Text

Distinct250
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:22:57.464149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.8221344
Min length2

Characters and Unicode

Total characters2232
Distinct characters268
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)97.6%

Sample

1st row(주)제이오에이관광
2nd row(주)한민여행사
3rd row(주)전성해운여행사
4th row(주)상원트래블
5th row(주)세린여행사
ValueCountFrequency (%)
주식회사 56
 
17.1%
주 4
 
1.2%
트래블 3
 
0.9%
여행사 3
 
0.9%
투어 2
 
0.6%
이지드레곤투어 2
 
0.6%
주)투데이스트래블 2
 
0.6%
주)신승여행사 2
 
0.6%
플로빅(주 2
 
0.6%
아이피씨코리아 2
 
0.6%
Other values (250) 250
76.2%
2024-04-30T04:22:57.998297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 191
 
8.6%
사 141
 
6.3%
( 138
 
6.2%
) 138
 
6.2%
여 84
 
3.8%
행 83
 
3.7%
75
 
3.4%
투 65
 
2.9%
어 64
 
2.9%
회 61
 
2.7%
Other values (258) 1192
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1853
83.0%
Open Punctuation 138
 
6.2%
Close Punctuation 138
 
6.2%
Space Separator 75
 
3.4%
Uppercase Letter 18
 
0.8%
Lowercase Letter 9
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 191
 
10.3%
사 141
 
7.6%
여 84
 
4.5%
행 83
 
4.5%
투 65
 
3.5%
어 64
 
3.5%
회 61
 
3.3%
이 60
 
3.2%
식 57
 
3.1%
국 39
 
2.1%
Other values (234) 1008
54.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
22.2%
J 3
16.7%
C 2
11.1%
D 2
11.1%
T 1
 
5.6%
K 1
 
5.6%
N 1
 
5.6%
G 1
 
5.6%
M 1
 
5.6%
R 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
11.1%
l 1
11.1%
a 1
11.1%
c 1
11.1%
i 1
11.1%
d 1
11.1%
e 1
11.1%
m 1
11.1%
r 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1853
83.0%
Common 352
 
15.8%
Latin 27
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 191
 
10.3%
사 141
 
7.6%
여 84
 
4.5%
행 83
 
4.5%
투 65
 
3.5%
어 64
 
3.5%
회 61
 
3.3%
이 60
 
3.2%
식 57
 
3.1%
국 39
 
2.1%
Other values (234) 1008
54.4%
Latin
ValueCountFrequency (%)
A 4
 
14.8%
J 3
 
11.1%
C 2
 
7.4%
D 2
 
7.4%
T 1
 
3.7%
K 1
 
3.7%
N 1
 
3.7%
G 1
 
3.7%
M 1
 
3.7%
R 1
 
3.7%
Other values (10) 10
37.0%
Common
ValueCountFrequency (%)
( 138
39.2%
) 138
39.2%
75
21.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1853
83.0%
ASCII 379
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 191
 
10.3%
사 141
 
7.6%
여 84
 
4.5%
행 83
 
4.5%
투 65
 
3.5%
어 64
 
3.5%
회 61
 
3.3%
이 60
 
3.2%
식 57
 
3.1%
국 39
 
2.1%
Other values (234) 1008
54.4%
ASCII
ValueCountFrequency (%)
( 138
36.4%
) 138
36.4%
75
19.8%
A 4
 
1.1%
J 3
 
0.8%
C 2
 
0.5%
D 2
 
0.5%
T 1
 
0.3%
& 1
 
0.3%
K 1
 
0.3%
Other values (14) 14
 
3.7%

최종수정일자
Date

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2010-01-29 14:01:10
Maximum2024-04-23 09:14:58
2024-04-30T04:22:58.116863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:58.225173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
208 
I
44 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
U 208
82.2%
I 44
 
17.4%
D 1
 
0.4%

Length

2024-04-30T04:22:58.328654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:58.406528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 208
82.2%
i 44
 
17.4%
d 1
 
0.4%

데이터갱신일자
Date

Distinct126
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T04:22:58.494350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:58.636012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct130
Distinct (%)51.6%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean194733.16
Minimum191725
Maximum197170.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:22:58.752365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191725
5-th percentile192402.46
Q1193712.48
median194193.29
Q3196547.23
95-th percentile196901.65
Maximum197170.64
Range5445.6445
Interquartile range (IQR)2834.7544

Descriptive statistics

Standard deviation1496.5588
Coefficient of variation (CV)0.0076851769
Kurtosis-1.1725474
Mean194733.16
Median Absolute Deviation (MAD)710.37424
Skewness0.25826006
Sum49072756
Variance2239688.1
MonotonicityNot monotonic
2024-04-30T04:22:58.873014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193712.476983727 21
 
8.3%
196801.661639204 12
 
4.7%
196824.072701729 10
 
4.0%
196945.454641052 7
 
2.8%
193672.286456786 7
 
2.8%
193946.395220305 6
 
2.4%
196892.09236853 6
 
2.4%
196547.231336512 6
 
2.4%
193812.512079717 6
 
2.4%
192204.144264653 5
 
2.0%
Other values (120) 166
65.6%
ValueCountFrequency (%)
191724.997774163 1
 
0.4%
191756.032968367 1
 
0.4%
191900.345924872 1
 
0.4%
192028.41586192 1
 
0.4%
192093.826430125 1
 
0.4%
192128.584664642 1
 
0.4%
192150.038113118 1
 
0.4%
192204.144264653 5
2.0%
192219.454539817 1
 
0.4%
192552.192063652 1
 
0.4%
ValueCountFrequency (%)
197170.642282034 1
 
0.4%
197051.267551275 1
 
0.4%
197037.539093025 1
 
0.4%
197028.132153511 2
 
0.8%
196945.454641052 7
2.8%
196913.333833025 1
 
0.4%
196892.09236853 6
2.4%
196884.166631688 3
1.2%
196863.328815216 2
 
0.8%
196861.226817567 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct130
Distinct (%)51.6%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean451568.19
Minimum450422.37
Maximum454927.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:22:58.986028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450422.37
5-th percentile450573.69
Q1450886.31
median451330.82
Q3451944.58
95-th percentile453287.19
Maximum454927.17
Range4504.7917
Interquartile range (IQR)1058.2728

Descriptive statistics

Standard deviation945.64866
Coefficient of variation (CV)0.0020941436
Kurtosis0.66514659
Mean451568.19
Median Absolute Deviation (MAD)574.59511
Skewness1.1152587
Sum1.1379518 × 108
Variance894251.39
MonotonicityNot monotonic
2024-04-30T04:22:59.095836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450637.010875398 21
 
8.3%
451267.809661546 12
 
4.7%
450890.664072337 10
 
4.0%
451003.162676008 7
 
2.8%
451473.301783385 7
 
2.8%
450525.834024158 6
 
2.4%
450948.915518467 6
 
2.4%
450950.82823808 6
 
2.4%
451704.439301537 6
 
2.4%
453173.919537914 5
 
2.0%
Other values (120) 166
65.6%
ValueCountFrequency (%)
450422.374151297 1
 
0.4%
450469.610782261 1
 
0.4%
450470.709852487 1
 
0.4%
450512.155519127 1
 
0.4%
450514.653917441 1
 
0.4%
450525.834024158 6
2.4%
450540.434121317 1
 
0.4%
450573.690449065 4
1.6%
450576.385496383 1
 
0.4%
450588.358613375 1
 
0.4%
ValueCountFrequency (%)
454927.165809979 1
0.4%
454560.084990316 1
0.4%
454458.773193941 1
0.4%
454414.47184668 1
0.4%
454078.028449131 1
0.4%
453855.498106381 1
0.4%
453764.167677443 1
0.4%
453619.010761829 1
0.4%
453583.534784193 1
0.4%
453564.734566773 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
147 
종합여행업
106 

Length

Max length5
Median length4
Mean length4.4189723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 147
58.1%
종합여행업 106
41.9%

Length

2024-04-30T04:22:59.204100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:59.283440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
58.1%
종합여행업 106
41.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
일반주거지역
 
7
준주거지역
 
3
일반상업지역
 
1
주거지역
 
1

Length

Max length6
Median length4
Mean length4.0750988
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 241
95.3%
일반주거지역 7
 
2.8%
준주거지역 3
 
1.2%
일반상업지역 1
 
0.4%
주거지역 1
 
0.4%

Length

2024-04-30T04:22:59.382542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:59.473211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
95.3%
일반주거지역 7
 
2.8%
준주거지역 3
 
1.2%
일반상업지역 1
 
0.4%
주거지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)23.1%
Missing214
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean3.5384615
Minimum0
Maximum29
Zeros24
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:22:59.548988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile23
Maximum29
Range29
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.855064
Coefficient of variation (CV)1.9373007
Kurtosis6.6882365
Mean3.5384615
Median Absolute Deviation (MAD)0
Skewness2.6249523
Sum138
Variance46.991903
MonotonicityNot monotonic
2024-04-30T04:22:59.637727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 24
 
9.5%
4 3
 
1.2%
8 3
 
1.2%
5 2
 
0.8%
23 2
 
0.8%
6 2
 
0.8%
3 1
 
0.4%
2 1
 
0.4%
29 1
 
0.4%
(Missing) 214
84.6%
ValueCountFrequency (%)
0 24
9.5%
2 1
 
0.4%
3 1
 
0.4%
4 3
 
1.2%
5 2
 
0.8%
6 2
 
0.8%
8 3
 
1.2%
23 2
 
0.8%
29 1
 
0.4%
ValueCountFrequency (%)
29 1
 
0.4%
23 2
 
0.8%
8 3
 
1.2%
6 2
 
0.8%
5 2
 
0.8%
4 3
 
1.2%
3 1
 
0.4%
2 1
 
0.4%
0 24
9.5%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
242 
기타
 
9
주택가주변
 
1
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9486166
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
95.7%
기타 9
 
3.6%
주택가주변 1
 
0.4%
학교정화(상대) 1
 
0.4%

Length

2024-04-30T04:22:59.754661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:59.848886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
95.7%
기타 9
 
3.6%
주택가주변 1
 
0.4%
학교정화(상대 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

보험기관명
Categorical

IMBALANCE 

Distinct29
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
165 
한국관광협회중앙회 여행공제회
26 
서울보증보험주식회사
 
16
서울보증보험(5천만원)
 
4
서울보증보험
 
4
Other values (24)
38 

Length

Max length18
Median length4
Mean length6.9367589
Min length4

Unique

Unique16 ?
Unique (%)6.3%

Sample

1st row<NA>
2nd row서울보증보험주식회사
3rd row한국관광협회중앙회 여행공제회
4th row한국일반여행업협회
5th row한국관광협회중앙회 여행공제회

Common Values

ValueCountFrequency (%)
<NA> 165
65.2%
한국관광협회중앙회 여행공제회 26
 
10.3%
서울보증보험주식회사 16
 
6.3%
서울보증보험(5천만원) 4
 
1.6%
서울보증보험 4
 
1.6%
한국관광협회중앙회여행공제회 4
 
1.6%
서울보증보험주식회사(5천만원) 4
 
1.6%
한국관광협회(50,000,000) 3
 
1.2%
한국일반여행업협회 3
 
1.2%
한국관광협회중앙회 2
 
0.8%
Other values (19) 22
 
8.7%

Length

2024-04-30T04:22:59.949149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 165
57.9%
여행공제회 30
 
10.5%
한국관광협회중앙회 28
 
9.8%
서울보증보험주식회사 16
 
5.6%
서울보증보험 5
 
1.8%
서울보증보험(5천만원 4
 
1.4%
한국관광협회중앙회여행공제회 4
 
1.4%
서울보증보험주식회사(5천만원 4
 
1.4%
한국관광협회 3
 
1.1%
한국여행업협회 3
 
1.1%
Other values (17) 23
 
8.1%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
230 
근린생활시설
 
21
사무실
 
2

Length

Max length6
Median length4
Mean length4.1581028
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 (%)
<NA> 230
90.9%
근린생활시설 21
 
8.3%
사무실 2
 
0.8%

Length

2024-04-30T04:23:00.079182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:00.163231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
90.9%
근린생활시설 21
 
8.3%
사무실 2
 
0.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)22.2%
Missing217
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum0
Maximum22
Zeros25
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:00.236418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile17.5
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.5824982
Coefficient of variation (CV)2.0299993
Kurtosis5.4808956
Mean2.75
Median Absolute Deviation (MAD)0
Skewness2.4423665
Sum99
Variance31.164286
MonotonicityNot monotonic
2024-04-30T04:23:00.315558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 25
 
9.9%
4 3
 
1.2%
7 3
 
1.2%
19 1
 
0.4%
5 1
 
0.4%
17 1
 
0.4%
22 1
 
0.4%
3 1
 
0.4%
(Missing) 217
85.8%
ValueCountFrequency (%)
0 25
9.9%
3 1
 
0.4%
4 3
 
1.2%
5 1
 
0.4%
7 3
 
1.2%
17 1
 
0.4%
19 1
 
0.4%
22 1
 
0.4%
ValueCountFrequency (%)
22 1
 
0.4%
19 1
 
0.4%
17 1
 
0.4%
7 3
 
1.2%
5 1
 
0.4%
4 3
 
1.2%
3 1
 
0.4%
0 25
9.9%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)16.7%
Missing217
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean0.72222222
Minimum0
Maximum7
Zeros25
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:00.400923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.5
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6320209
Coefficient of variation (CV)2.2597212
Kurtosis8.4578741
Mean0.72222222
Median Absolute Deviation (MAD)0
Skewness2.9400907
Sum26
Variance2.6634921
MonotonicityNot monotonic
2024-04-30T04:23:00.488182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
 
9.9%
1 7
 
2.8%
4 1
 
0.4%
6 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
(Missing) 217
85.8%
ValueCountFrequency (%)
0 25
9.9%
1 7
 
2.8%
2 1
 
0.4%
4 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
7 1
 
0.4%
6 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%
1 7
 
2.8%
0 25
9.9%

객실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:00.586973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:00.676579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

건축연면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:00.769070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:00.845705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

영문상호명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing234
Missing (%)92.5%
Memory size2.1 KiB
2024-04-30T04:23:00.995513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length23.526316
Min length8

Characters and Unicode

Total characters447
Distinct characters46
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

Unique19 ?
Unique (%)100.0%

Sample

1st rowGrand Korea Tour
2nd rowGolden Tower Travel Co., Ltd.
3rd rowDream Korea International Travel Co., Ltd.
4th rowHongsan International Travel Service Co., Ltd.
5th rowScenic Tours & Travel
ValueCountFrequency (%)
co 11
14.3%
ltd 11
14.3%
travel 7
 
9.1%
tour 5
 
6.5%
co.,ltd 4
 
5.2%
service 3
 
3.9%
international 3
 
3.9%
tours 3
 
3.9%
golden 2
 
2.6%
d 2
 
2.6%
Other values (25) 26
33.8%
2024-04-30T04:23:01.287822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
13.0%
o 32
 
7.2%
. 24
 
5.4%
T 23
 
5.1%
r 22
 
4.9%
e 22
 
4.9%
L 22
 
4.9%
t 20
 
4.5%
a 19
 
4.3%
C 17
 
3.8%
Other values (36) 188
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 198
44.3%
Uppercase Letter 149
33.3%
Space Separator 58
 
13.0%
Other Punctuation 41
 
9.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 23
15.4%
L 22
14.8%
C 17
11.4%
O 14
9.4%
S 11
 
7.4%
R 7
 
4.7%
G 7
 
4.7%
D 7
 
4.7%
E 6
 
4.0%
U 6
 
4.0%
Other values (11) 29
19.5%
Lowercase Letter
ValueCountFrequency (%)
o 32
16.2%
r 22
11.1%
e 22
11.1%
t 20
10.1%
a 19
9.6%
n 17
8.6%
d 16
8.1%
l 11
 
5.6%
v 8
 
4.0%
i 7
 
3.5%
Other values (10) 24
12.1%
Other Punctuation
ValueCountFrequency (%)
. 24
58.5%
, 14
34.1%
& 3
 
7.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 347
77.6%
Common 100
 
22.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 32
 
9.2%
T 23
 
6.6%
r 22
 
6.3%
e 22
 
6.3%
L 22
 
6.3%
t 20
 
5.8%
a 19
 
5.5%
C 17
 
4.9%
n 17
 
4.9%
d 16
 
4.6%
Other values (31) 137
39.5%
Common
ValueCountFrequency (%)
58
58.0%
. 24
24.0%
, 14
 
14.0%
& 3
 
3.0%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 447
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
 
13.0%
o 32
 
7.2%
. 24
 
5.4%
T 23
 
5.1%
r 22
 
4.9%
e 22
 
4.9%
L 22
 
4.9%
t 20
 
4.5%
a 19
 
4.3%
C 17
 
3.8%
Other values (36) 188
42.1%

영문상호주소
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
234 
GENERAL TRAVEL BUSINESS
 
12
General travel business
 
3
General Travel Business
 
3
GENERAL TRAVEL BUSINES
 
1

Length

Max length23
Median length4
Mean length5.4229249
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 234
92.5%
GENERAL TRAVEL BUSINESS 12
 
4.7%
General travel business 3
 
1.2%
General Travel Business 3
 
1.2%
GENERAL TRAVEL BUSINES 1
 
0.4%

Length

2024-04-30T04:23:01.406589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:01.497720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 234
80.4%
general 19
 
6.5%
travel 19
 
6.5%
business 18
 
6.2%
busines 1
 
0.3%

선박총톤수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:01.605845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:01.682015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

선박척수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:01.765417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:01.840178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:01.927084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:02.012684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

좌석수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:02.108747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:02.197626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:02.281526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:02.373324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)61.8%
Missing198
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean82.294
Minimum0
Maximum674
Zeros20
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:02.449197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.57
Q3101.85
95-th percentile350.57
Maximum674
Range674
Interquartile range (IQR)101.85

Descriptive statistics

Standard deviation130.2312
Coefficient of variation (CV)1.5825115
Kurtosis8.6309957
Mean82.294
Median Absolute Deviation (MAD)41.57
Skewness2.7257305
Sum4526.17
Variance16960.165
MonotonicityNot monotonic
2024-04-30T04:23:02.559105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 20
 
7.9%
41.57 2
 
0.8%
32.0 2
 
0.8%
200.97 1
 
0.4%
449.9 1
 
0.4%
20.0 1
 
0.4%
48.75 1
 
0.4%
45.0 1
 
0.4%
50.0 1
 
0.4%
187.28 1
 
0.4%
Other values (24) 24
 
9.5%
(Missing) 198
78.3%
ValueCountFrequency (%)
0.0 20
7.9%
7.52 1
 
0.4%
10.0 1
 
0.4%
20.0 1
 
0.4%
26.0 1
 
0.4%
32.0 2
 
0.8%
41.57 2
 
0.8%
44.55 1
 
0.4%
45.0 1
 
0.4%
45.09 1
 
0.4%
ValueCountFrequency (%)
674.0 1
0.4%
453.0 1
0.4%
449.9 1
0.4%
308.0 1
0.4%
200.97 1
0.4%
198.0 1
0.4%
187.28 1
0.4%
178.2 1
0.4%
175.2 1
0.4%
160.0 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
222 
0
31 

Length

Max length4
Median length4
Mean length3.6324111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
87.7%
0 31
 
12.3%

Length

2024-04-30T04:23:02.678555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:02.989674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
87.7%
0 31
 
12.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)12.0%
Missing161
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean2.2066538 × 108
Minimum0
Maximum1 × 109
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:03.069128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1 × 108
Q12 × 108
median2 × 108
Q32 × 108
95-th percentile3.545 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2505023 × 108
Coefficient of variation (CV)0.56669619
Kurtosis15.577021
Mean2.2066538 × 108
Median Absolute Deviation (MAD)0
Skewness2.7022489
Sum2.0301215 × 1010
Variance1.563756 × 1016
MonotonicityNot monotonic
2024-04-30T04:23:03.165873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
200000000 51
 
20.2%
350000000 17
 
6.7%
100000000 13
 
5.1%
0 3
 
1.2%
360000000 2
 
0.8%
449000000 1
 
0.4%
400000000 1
 
0.4%
50000000 1
 
0.4%
120000000 1
 
0.4%
112214743 1
 
0.4%
(Missing) 161
63.6%
ValueCountFrequency (%)
0 3
 
1.2%
50000000 1
 
0.4%
100000000 13
 
5.1%
112214743 1
 
0.4%
120000000 1
 
0.4%
200000000 51
20.2%
350000000 17
 
6.7%
360000000 2
 
0.8%
400000000 1
 
0.4%
449000000 1
 
0.4%
ValueCountFrequency (%)
1000000000 1
 
0.4%
449000000 1
 
0.4%
400000000 1
 
0.4%
360000000 2
 
0.8%
350000000 17
 
6.7%
200000000 51
20.2%
120000000 1
 
0.4%
112214743 1
 
0.4%
100000000 13
 
5.1%
50000000 1
 
0.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)100.0%
Missing164
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean20154421
Minimum20080223
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:03.313239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080223
5-th percentile20110313
Q120140512
median20150330
Q320170723
95-th percentile20200602
Maximum20210831
Range130608
Interquartile range (IQR)30211

Descriptive statistics

Standard deviation28489.21
Coefficient of variation (CV)0.0014135464
Kurtosis-0.12652124
Mean20154421
Median Absolute Deviation (MAD)10494
Skewness0.045325795
Sum1.7937435 × 109
Variance8.116351 × 108
MonotonicityNot monotonic
2024-04-30T04:23:03.448049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170101 1
 
0.4%
20160418 1
 
0.4%
20160411 1
 
0.4%
20160511 1
 
0.4%
20160223 1
 
0.4%
20150219 1
 
0.4%
20141224 1
 
0.4%
20150601 1
 
0.4%
20170516 1
 
0.4%
20140613 1
 
0.4%
Other values (79) 79
31.2%
(Missing) 164
64.8%
ValueCountFrequency (%)
20080223 1
0.4%
20091103 1
0.4%
20100928 1
0.4%
20101103 1
0.4%
20110309 1
0.4%
20110320 1
0.4%
20110421 1
0.4%
20110503 1
0.4%
20110905 1
0.4%
20120320 1
0.4%
ValueCountFrequency (%)
20210831 1
0.4%
20210618 1
0.4%
20210409 1
0.4%
20210126 1
0.4%
20200724 1
0.4%
20200418 1
0.4%
20200123 1
0.4%
20200110 1
0.4%
20191221 1
0.4%
20191128 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)97.8%
Missing163
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean20166061
Minimum20090222
Maximum20220831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:03.568686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090222
5-th percentile20120314
Q120150905
median20160826
Q320180800
95-th percentile20210585
Maximum20220831
Range130609
Interquartile range (IQR)29894.25

Descriptive statistics

Standard deviation28225.905
Coefficient of variation (CV)0.0013996737
Kurtosis-0.024641928
Mean20166061
Median Absolute Deviation (MAD)10505.5
Skewness-0.071435256
Sum1.8149455 × 109
Variance7.9670172 × 108
MonotonicityNot monotonic
2024-04-30T04:23:03.690534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151223 2
 
0.8%
20151102 2
 
0.8%
20160531 1
 
0.4%
20171231 1
 
0.4%
20171110 1
 
0.4%
20170417 1
 
0.4%
20170411 1
 
0.4%
20170510 1
 
0.4%
20170222 1
 
0.4%
20160219 1
 
0.4%
Other values (78) 78
30.8%
(Missing) 163
64.4%
ValueCountFrequency (%)
20090222 1
0.4%
20101102 1
0.4%
20110927 1
0.4%
20111103 1
0.4%
20120309 1
0.4%
20120320 1
0.4%
20120420 1
0.4%
20120503 1
0.4%
20120904 1
0.4%
20140320 1
0.4%
ValueCountFrequency (%)
20220831 1
0.4%
20220618 1
0.4%
20220408 1
0.4%
20220125 1
0.4%
20210723 1
0.4%
20210417 1
0.4%
20210122 1
0.4%
20210110 1
0.4%
20201221 1
0.4%
20201128 1
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.4 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)56.4%
Missing198
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean82.309091
Minimum0
Maximum674
Zeros20
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:23:03.798240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q3102
95-th percentile350.6
Maximum674
Range674
Interquartile range (IQR)102

Descriptive statistics

Standard deviation130.21306
Coefficient of variation (CV)1.5820009
Kurtosis8.6373533
Mean82.309091
Median Absolute Deviation (MAD)42
Skewness2.7267683
Sum4527
Variance16955.44
MonotonicityNot monotonic
2024-04-30T04:23:03.904420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 20
 
7.9%
45 3
 
1.2%
50 2
 
0.8%
42 2
 
0.8%
32 2
 
0.8%
201 1
 
0.4%
453 1
 
0.4%
20 1
 
0.4%
49 1
 
0.4%
187 1
 
0.4%
Other values (21) 21
 
8.3%
(Missing) 198
78.3%
ValueCountFrequency (%)
0 20
7.9%
8 1
 
0.4%
10 1
 
0.4%
20 1
 
0.4%
26 1
 
0.4%
32 2
 
0.8%
42 2
 
0.8%
45 3
 
1.2%
49 1
 
0.4%
50 2
 
0.8%
ValueCountFrequency (%)
674 1
0.4%
453 1
0.4%
450 1
0.4%
308 1
0.4%
201 1
0.4%
198 1
0.4%
187 1
0.4%
178 1
0.4%
175 1
0.4%
160 1
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03120000CDFI22600419920000011992-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA>023233541<NA><NA>서울특별시 서대문구 연희동 80-7 파라다이스텔에스비서울특별시 서대문구 연희로 158, 3층 315호 (연희동, 파라다이스텔에스비)3723(주)제이오에이관광2023-03-06 16:13:11U2022-12-03 00:08:00.0<NA>194173.583419452106.264868<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFI226004199400000119940311<NA>4취소/말소/만료/정지/중지35직권말소20210915<NA><NA><NA>363-1391<NA>120160서울특별시 서대문구 대신동 124-4서울특별시 서대문구 연대동문길 122 (대신동)<NA>(주)한민여행사2021-09-24 13:33:16U2021-09-26 02:40:00.0<NA>195161.915687451680.758988종합여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>3500000002018112820201127<NA>0
23120000CDFI226004199600000119960523<NA>4취소/말소/만료/정지/중지35직권말소20210915<NA><NA><NA>02-322-0550<NA>120110서울특별시 서대문구 연희동 88-2 제임스빌 5층서울특별시 서대문구 연희로 134-1 (연희동,제임스빌 5층)<NA>(주)전성해운여행사2021-09-24 13:33:44U2021-09-26 02:40:00.0<NA>194035.371547451891.607818종합여행업<NA><NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>3500000002018082520190825<NA>0
33120000CDFI226004199700000119970624<NA>3폐업3폐업20210525<NA><NA><NA>363-1331<NA>120013서울특별시 서대문구 충정로3가 189-8 미동(아) 지하상가 112호서울특별시 서대문구 충정로7길 9 (충정로3가,미동(아) 지하상가 112호)<NA>(주)상원트래블2021-05-25 17:09:44U2021-05-27 02:40:00.0<NA>196763.235829451217.585517종합여행업<NA><NA><NA><NA><NA>한국일반여행업협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002011032020120320<NA><NA>
43120000CDFI226004199800000119980328<NA>3폐업3폐업20190501<NA><NA><NA>337-0888<NA>120110서울특별시 서대문구 연희동 193-7번지 영화빌딩 403호서울특별시 서대문구 연희로 77-12, 403호 (연희동, 영화빌딩)3708(주)세린여행사2019-05-20 14:49:07U2019-05-22 02:40:00.0<NA>193672.286457451473.301783종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002017032820180328<NA><NA>
53120000CDFI226004200100000220010816<NA>4취소/말소/만료/정지/중지35직권말소20210915<NA><NA><NA>732-3844<NA>120091서울특별시 서대문구 홍제동 95-6 삼성빌딩4층<NA><NA>(주)유니온여행사2021-09-24 13:34:19U2021-09-26 02:40:00.0<NA>195385.402265453564.734567종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA>0
63120000CDFI226004200100000420011113<NA>4취소/말소/만료/정지/중지35직권말소20210915<NA><NA><NA>333-1859<NA>120110서울특별시 서대문구 연희동 218-19서울특별시 서대문구 동교로 296 (연희동)3716주식회사 일진국제여행사2021-09-24 13:34:55U2021-09-26 02:40:00.0<NA>193558.675809451431.796585종합여행업<NA><NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>3500000002014020420150204<NA>0
73120000CDFI226004200200000220020731<NA>3폐업3폐업20111025<NA><NA><NA>369-8868<NA>120102서울특별시 서대문구 홍은동 274-20번지 하나빌딩서울특별시 서대문구 연희로 267 (홍은동,하나빌딩)<NA>(주)코리아두루여행사2011-10-25 13:21:03I2018-08-31 23:59:59.0<NA>194268.239983453186.156136종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
83120000CDFI226004200300000220030614<NA>3폐업3폐업20100217<NA><NA><NA>320-5861<NA>120713서울특별시 서대문구 창천동 515-1번지 린나이빌딩 7층서울특별시 서대문구 연희로 6 (창천동,린나이빌딩 7층)<NA>(주)라니알케이관광2010-02-22 15:16:38I2018-08-31 23:59:59.0<NA>193518.402551450803.516428종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
93120000CDFI22600420040000012004-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-303-8588<NA><NA>서울특별시 서대문구 홍은동 400-13 3층서울특별시 서대문구 거북골로 4, 3층 (홍은동)3675(주)천풍여행사2024-03-07 10:37:01U2023-12-03 00:09:00.0<NA>193430.886196453240.608376<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
2433120000CDFI22600420230000252023-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로2가 65-19 우진빌딩 비동 202호서울특별시 서대문구 경기대로11길 26-6, 우진빌딩 비동 202호 (충정로2가)3746주식회사 토끼와두꺼비2023-11-24 10:19:03U2022-10-31 22:06:00.0<NA>196656.051072451531.281143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2443120000CDFI22600420230000262020-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4001-2700<NA><NA>서울특별시 서대문구 충정로2가 191 골든타워빌딩서울특별시 서대문구 충정로 53, 골든타워빌딩 지하1층 15,16호 (충정로2가)3736플로빅(주)2023-10-26 14:32:52I2022-10-30 22:08:00.0<NA>196801.661639451267.809662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2453120000CDFI22600420230000272012-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 503-4 휴암빌딩 201호서울특별시 서대문구 신촌로 29, 휴암빌딩 2층 201호 (창천동)3785(주)기흥국제여행사2023-11-10 10:24:41I2022-10-31 23:02:00.0<NA>193764.777903450631.151436<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2463120000CDFI22600420230000282023-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 343-30 지층서울특별시 서대문구 거북골로 53-11, 지층 (남가좌동)3665주식회사 보보투어2023-11-21 16:58:18I2022-10-31 22:03:00.0<NA>193128.003665452891.615625<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2473120000CDFI22600420230000292023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 503-8 2층 3358호서울특별시 서대문구 신촌로 25, 2층 3358호 (창천동)3785글로버드2024-01-19 10:51:22U2023-11-30 22:01:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2483120000CDFI22600420240000012024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 503-8 2층 2150호서울특별시 서대문구 신촌로 25, 2층 2150호 (창천동)3785야나인터내셔널2024-01-23 09:28:25U2023-11-30 22:05:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2493120000CDFI22600420240000022023-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 105-1 창덕에버빌, 2층 202호서울특별시 서대문구 모래내로 143, 2층 202호 (남가좌동, 창덕에버빌)3712져스트 트래블2024-03-08 17:29:29U2023-12-02 23:00:00.0<NA>192616.804544451914.670305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2503120000CDFI22600420240000032019-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5213-0434<NA><NA>서울특별시 서대문구 북아현동 134-11 지하서울특별시 서대문구 북아현로2길 6-3, 지하층 (북아현동)3757아임닥터유한책임회사2024-03-21 10:42:00I2023-12-02 22:03:00.0<NA>196113.491817450672.543636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2513120000CDFI22600420240000042024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 481 DMC 래미안 e편한세상 102동 105호서울특별시 서대문구 수색로 100, 상가 102동 105호 (북가좌동, DMC 래미안 e편한세상)3709조이스투어2024-04-08 13:27:49U2023-12-03 23:00:00.0<NA>192028.415862452265.952165<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2523120000CDFI22600420240000052021-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로2가 2-2 충정빌딩 15층서울특별시 서대문구 통일로 135, 충정빌딩 15층 (충정로2가)3735인지어스 유한회사2024-04-22 12:45:36U2023-12-03 22:04:00.0<NA>196884.166632451568.612782<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>