Overview

Dataset statistics

Number of variables60
Number of observations194
Missing cells5836
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.5 KiB
Average record size in memory519.7 B

Variable types

Categorical15
Text8
DateTime4
Numeric11
Unsupported22

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17575/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 is highly imbalanced (70.3%)Imbalance
휴업시작일자 is highly imbalanced (95.3%)Imbalance
휴업종료일자 is highly imbalanced (95.3%)Imbalance
주변환경명 is highly imbalanced (54.9%)Imbalance
지하층수 is highly imbalanced (77.1%)Imbalance
폐업일자 has 75 (38.7%) missing valuesMissing
재개업일자 has 194 (100.0%) missing valuesMissing
전화번호 has 49 (25.3%) missing valuesMissing
소재지면적 has 194 (100.0%) missing valuesMissing
소재지우편번호 has 88 (45.4%) missing valuesMissing
도로명주소 has 6 (3.1%) missing valuesMissing
도로명우편번호 has 77 (39.7%) missing valuesMissing
업태구분명 has 194 (100.0%) missing valuesMissing
좌표정보(X) has 7 (3.6%) missing valuesMissing
좌표정보(Y) has 7 (3.6%) missing valuesMissing
총층수 has 163 (84.0%) missing valuesMissing
제작취급품목내용 has 194 (100.0%) missing valuesMissing
지상층수 has 167 (86.1%) missing valuesMissing
객실수 has 194 (100.0%) missing valuesMissing
건축연면적 has 194 (100.0%) missing valuesMissing
영문상호명 has 192 (99.0%) missing valuesMissing
영문상호주소 has 193 (99.5%) missing valuesMissing
선박총톤수 has 194 (100.0%) missing valuesMissing
선박척수 has 194 (100.0%) missing valuesMissing
선박제원 has 194 (100.0%) missing valuesMissing
무대면적 has 194 (100.0%) missing valuesMissing
좌석수 has 194 (100.0%) missing valuesMissing
기념품종류 has 194 (100.0%) missing valuesMissing
회의실별동시수용인원 has 194 (100.0%) missing valuesMissing
시설면적 has 149 (76.8%) missing valuesMissing
놀이기구수내역 has 194 (100.0%) missing valuesMissing
놀이시설수 has 194 (100.0%) missing valuesMissing
방송시설유무 has 194 (100.0%) missing valuesMissing
발전시설유무 has 194 (100.0%) missing valuesMissing
의무실유무 has 194 (100.0%) missing valuesMissing
안내소유무 has 194 (100.0%) missing valuesMissing
기획여행보험시작일자 has 194 (100.0%) missing valuesMissing
기획여행보험종료일자 has 194 (100.0%) missing valuesMissing
자본금 has 70 (36.1%) missing valuesMissing
보험시작일자 has 88 (45.4%) missing valuesMissing
보험종료일자 has 88 (45.4%) missing valuesMissing
부대시설내역 has 194 (100.0%) missing valuesMissing
시설규모 has 149 (76.8%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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 8 (4.1%) zerosZeros
지상층수 has 8 (4.1%) zerosZeros
시설면적 has 14 (7.2%) zerosZeros
시설규모 has 14 (7.2%) zerosZeros

Reproduction

Analysis started2024-05-11 04:28:05.840306
Analysis finished2024-05-11 04:28:07.930450
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3230000
194 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 194
100.0%

Length

2024-05-11T04:28:08.247310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:08.704703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 194
100.0%

관리번호
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T04:28:09.343833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3880
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

Unique194 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011992000001
2nd rowCDFI2260011994000001
3rd rowCDFI2260011994000002
4th rowCDFI2260011996000001
5th rowCDFI2260011996000002
ValueCountFrequency (%)
cdfi2260011992000001 1
 
0.5%
cdfi2260012017000002 1
 
0.5%
cdfi2260012015000001 1
 
0.5%
cdfi2260012015000012 1
 
0.5%
cdfi2260012015000002 1
 
0.5%
cdfi2260012015000003 1
 
0.5%
cdfi2260012015000004 1
 
0.5%
cdfi2260012015000005 1
 
0.5%
cdfi2260012015000006 1
 
0.5%
cdfi2260012015000007 1
 
0.5%
Other values (184) 184
94.8%
2024-05-11T04:28:10.568391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1579
40.7%
2 626
 
16.1%
1 410
 
10.6%
6 228
 
5.9%
C 194
 
5.0%
D 194
 
5.0%
F 194
 
5.0%
I 194
 
5.0%
9 65
 
1.7%
4 46
 
1.2%
Other values (4) 150
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3104
80.0%
Uppercase Letter 776
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1579
50.9%
2 626
 
20.2%
1 410
 
13.2%
6 228
 
7.3%
9 65
 
2.1%
4 46
 
1.5%
5 42
 
1.4%
8 39
 
1.3%
3 36
 
1.2%
7 33
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 194
25.0%
D 194
25.0%
F 194
25.0%
I 194
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3104
80.0%
Latin 776
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1579
50.9%
2 626
 
20.2%
1 410
 
13.2%
6 228
 
7.3%
9 65
 
2.1%
4 46
 
1.5%
5 42
 
1.4%
8 39
 
1.3%
3 36
 
1.2%
7 33
 
1.1%
Latin
ValueCountFrequency (%)
C 194
25.0%
D 194
25.0%
F 194
25.0%
I 194
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1579
40.7%
2 626
 
16.1%
1 410
 
10.6%
6 228
 
5.9%
C 194
 
5.0%
D 194
 
5.0%
F 194
 
5.0%
I 194
 
5.0%
9 65
 
1.7%
4 46
 
1.2%
Other values (4) 150
 
3.9%

인허가일자
Date

Distinct181
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1992-12-12 00:00:00
Maximum2024-02-21 00:00:00
2024-05-11T04:28:11.163600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:28:11.777328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
171 
20120215
 
15
20200629
 
5
20200120
 
2
20200512
 
1

Length

Max length8
Median length4
Mean length4.4742268
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
88.1%
20120215 15
 
7.7%
20200629 5
 
2.6%
20200120 2
 
1.0%
20200512 1
 
0.5%

Length

2024-05-11T04:28:12.339228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:13.295020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
88.1%
20120215 15
 
7.7%
20200629 5
 
2.6%
20200120 2
 
1.0%
20200512 1
 
0.5%

영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
116 
1
47 
4
27 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 116
59.8%
1 47
24.2%
4 27
 
13.9%
5 4
 
2.1%

Length

2024-05-11T04:28:13.680122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:14.098502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 116
59.8%
1 47
24.2%
4 27
 
13.9%
5 4
 
2.1%

영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
116 
영업/정상
47 
취소/말소/만료/정지/중지
27 
제외/삭제/전출
 
4

Length

Max length14
Median length2
Mean length4.5206186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 116
59.8%
영업/정상 47
24.2%
취소/말소/만료/정지/중지 27
 
13.9%
제외/삭제/전출 4
 
2.1%

Length

2024-05-11T04:28:14.877187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:15.520919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 116
59.8%
영업/정상 47
24.2%
취소/말소/만료/정지/중지 27
 
13.9%
제외/삭제/전출 4
 
2.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5257732
Minimum3
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:16.106106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q313
95-th percentile31
Maximum31
Range28
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.5960838
Coefficient of variation (CV)1.0073811
Kurtosis0.56664047
Mean9.5257732
Median Absolute Deviation (MAD)0
Skewness1.356296
Sum1848
Variance92.084825
MonotonicityNot monotonic
2024-05-11T04:28:16.880123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 116
59.8%
13 47
24.2%
31 24
 
12.4%
15 4
 
2.1%
30 2
 
1.0%
25 1
 
0.5%
ValueCountFrequency (%)
3 116
59.8%
13 47
24.2%
15 4
 
2.1%
25 1
 
0.5%
30 2
 
1.0%
31 24
 
12.4%
ValueCountFrequency (%)
31 24
 
12.4%
30 2
 
1.0%
25 1
 
0.5%
15 4
 
2.1%
13 47
24.2%
3 116
59.8%

상세영업상태명
Categorical

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
116 
영업중
47 
등록취소
24 
전출
 
4
허가취소
 
2

Length

Max length4
Median length2
Mean length2.5206186
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 116
59.8%
영업중 47
24.2%
등록취소 24
 
12.4%
전출 4
 
2.1%
허가취소 2
 
1.0%
영업정지 1
 
0.5%

Length

2024-05-11T04:28:17.746106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:18.355606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 116
59.8%
영업중 47
24.2%
등록취소 24
 
12.4%
전출 4
 
2.1%
허가취소 2
 
1.0%
영업정지 1
 
0.5%

폐업일자
Date

MISSING 

Distinct109
Distinct (%)91.6%
Missing75
Missing (%)38.7%
Memory size1.6 KiB
Minimum1997-01-15 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T04:28:18.958078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:28:19.463810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
193 
20120405
 
1

Length

Max length8
Median length4
Mean length4.0206186
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 193
99.5%
20120405 1
 
0.5%

Length

2024-05-11T04:28:20.011284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:20.402143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
99.5%
20120405 1
 
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
193 
20120604
 
1

Length

Max length8
Median length4
Mean length4.0206186
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 193
99.5%
20120604 1
 
0.5%

Length

2024-05-11T04:28:21.212114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:21.704659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
99.5%
20120604 1
 
0.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct143
Distinct (%)98.6%
Missing49
Missing (%)25.3%
Memory size1.6 KiB
2024-05-11T04:28:22.497397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5724138
Min length8

Characters and Unicode

Total characters1388
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

Unique141 ?
Unique (%)97.2%

Sample

1st row421-7091
2nd row417-9900
3rd row404-4115
4th row424-6101
5th row431-2064
ValueCountFrequency (%)
403-8991 2
 
1.4%
02 2
 
1.4%
2203-6044 2
 
1.4%
02-3453-1092 1
 
0.7%
02-516-4001 1
 
0.7%
02-401-2355 1
 
0.7%
421-7091 1
 
0.7%
02-1588-7414 1
 
0.7%
02-407-7681 1
 
0.7%
02-423-0006 1
 
0.7%
Other values (135) 135
91.2%
2024-05-11T04:28:24.055122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 210
15.1%
4 182
13.1%
2 181
13.0%
- 174
12.5%
1 141
10.2%
3 108
7.8%
5 100
7.2%
7 86
6.2%
8 72
 
5.2%
6 66
 
4.8%
Other values (4) 68
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1206
86.9%
Dash Punctuation 174
 
12.5%
Space Separator 5
 
0.4%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 210
17.4%
4 182
15.1%
2 181
15.0%
1 141
11.7%
3 108
9.0%
5 100
8.3%
7 86
7.1%
8 72
 
6.0%
6 66
 
5.5%
9 60
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 210
15.1%
4 182
13.1%
2 181
13.0%
- 174
12.5%
1 141
10.2%
3 108
7.8%
5 100
7.2%
7 86
6.2%
8 72
 
5.2%
6 66
 
4.8%
Other values (4) 68
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 210
15.1%
4 182
13.1%
2 181
13.0%
- 174
12.5%
1 141
10.2%
3 108
7.8%
5 100
7.2%
7 86
6.2%
8 72
 
5.2%
6 66
 
4.8%
Other values (4) 68
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Text

MISSING 

Distinct56
Distinct (%)52.8%
Missing88
Missing (%)45.4%
Memory size1.6 KiB
2024-05-11T04:28:24.775990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0283019
Min length6

Characters and Unicode

Total characters639
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

Unique35 ?
Unique (%)33.0%

Sample

1st row138850
2nd row138742
3rd row138804
4th row138840
5th row138829
ValueCountFrequency (%)
138828 6
 
5.7%
138240 6
 
5.7%
138804 5
 
4.7%
138827 5
 
4.7%
138805 5
 
4.7%
138844 4
 
3.8%
138849 4
 
3.8%
138862 4
 
3.8%
138850 4
 
3.8%
138873 3
 
2.8%
Other values (46) 60
56.6%
2024-05-11T04:28:25.932608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 197
30.8%
3 126
19.7%
1 123
19.2%
0 41
 
6.4%
4 39
 
6.1%
2 38
 
5.9%
7 25
 
3.9%
6 20
 
3.1%
9 15
 
2.3%
5 12
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 636
99.5%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 197
31.0%
3 126
19.8%
1 123
19.3%
0 41
 
6.4%
4 39
 
6.1%
2 38
 
6.0%
7 25
 
3.9%
6 20
 
3.1%
9 15
 
2.4%
5 12
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 639
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 197
30.8%
3 126
19.7%
1 123
19.2%
0 41
 
6.4%
4 39
 
6.1%
2 38
 
5.9%
7 25
 
3.9%
6 20
 
3.1%
9 15
 
2.3%
5 12
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 639
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 197
30.8%
3 126
19.7%
1 123
19.2%
0 41
 
6.4%
4 39
 
6.1%
2 38
 
5.9%
7 25
 
3.9%
6 20
 
3.1%
9 15
 
2.3%
5 12
 
1.9%

지번주소
Text

Distinct187
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T04:28:26.648960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length27.335052
Min length14

Characters and Unicode

Total characters5303
Distinct characters210
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

Unique182 ?
Unique (%)93.8%

Sample

1st row서울특별시 송파구 송파동 86-1번지
2nd row서울특별시 송파구 신천동 11-7번지 교통회관 4층호
3rd row서울특별시 송파구 가락동 96-6번지 (1, 2층)
4th row서울특별시 송파구 삼전동 133번지 유성B/D2층
5th row서울특별시 송파구 가락동 86-10 리치월드빌딩
ValueCountFrequency (%)
서울특별시 194
18.6%
송파구 194
18.6%
문정동 36
 
3.4%
가락동 34
 
3.3%
잠실동 29
 
2.8%
방이동 29
 
2.8%
신천동 16
 
1.5%
송파동 15
 
1.4%
석촌동 12
 
1.1%
2층 9
 
0.9%
Other values (377) 476
45.6%
2024-05-11T04:28:27.811005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
937
 
17.7%
파 230
 
4.3%
1 222
 
4.2%
동 219
 
4.1%
송 215
 
4.1%
시 203
 
3.8%
서 196
 
3.7%
울 196
 
3.7%
구 194
 
3.7%
별 194
 
3.7%
Other values (200) 2497
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3181
60.0%
Decimal Number 1001
 
18.9%
Space Separator 937
 
17.7%
Dash Punctuation 141
 
2.7%
Uppercase Letter 35
 
0.7%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 230
 
7.2%
동 219
 
6.9%
송 215
 
6.8%
시 203
 
6.4%
서 196
 
6.2%
울 196
 
6.2%
구 194
 
6.1%
별 194
 
6.1%
특 194
 
6.1%
지 130
 
4.1%
Other values (167) 1210
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
22.9%
T 6
17.1%
A 5
14.3%
N 2
 
5.7%
S 2
 
5.7%
D 2
 
5.7%
G 2
 
5.7%
U 2
 
5.7%
P 1
 
2.9%
Y 1
 
2.9%
Other values (4) 4
11.4%
Decimal Number
ValueCountFrequency (%)
1 222
22.2%
2 145
14.5%
0 114
11.4%
3 92
9.2%
4 91
9.1%
9 74
 
7.4%
7 73
 
7.3%
6 70
 
7.0%
5 60
 
6.0%
8 60
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
m 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3181
60.0%
Common 2084
39.3%
Latin 38
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 230
 
7.2%
동 219
 
6.9%
송 215
 
6.8%
시 203
 
6.4%
서 196
 
6.2%
울 196
 
6.2%
구 194
 
6.1%
별 194
 
6.1%
특 194
 
6.1%
지 130
 
4.1%
Other values (167) 1210
38.0%
Common
ValueCountFrequency (%)
937
45.0%
1 222
 
10.7%
2 145
 
7.0%
- 141
 
6.8%
0 114
 
5.5%
3 92
 
4.4%
4 91
 
4.4%
9 74
 
3.6%
7 73
 
3.5%
6 70
 
3.4%
Other values (7) 125
 
6.0%
Latin
ValueCountFrequency (%)
B 8
21.1%
T 6
15.8%
A 5
13.2%
N 2
 
5.3%
S 2
 
5.3%
D 2
 
5.3%
s 2
 
5.3%
G 2
 
5.3%
U 2
 
5.3%
P 1
 
2.6%
Other values (6) 6
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3181
60.0%
ASCII 2122
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
937
44.2%
1 222
 
10.5%
2 145
 
6.8%
- 141
 
6.6%
0 114
 
5.4%
3 92
 
4.3%
4 91
 
4.3%
9 74
 
3.5%
7 73
 
3.4%
6 70
 
3.3%
Other values (23) 163
 
7.7%
Hangul
ValueCountFrequency (%)
파 230
 
7.2%
동 219
 
6.9%
송 215
 
6.8%
시 203
 
6.4%
서 196
 
6.2%
울 196
 
6.2%
구 194
 
6.1%
별 194
 
6.1%
특 194
 
6.1%
지 130
 
4.1%
Other values (167) 1210
38.0%

도로명주소
Text

MISSING 

Distinct186
Distinct (%)98.9%
Missing6
Missing (%)3.1%
Memory size1.6 KiB
2024-05-11T04:28:28.614933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length35.824468
Min length21

Characters and Unicode

Total characters6735
Distinct characters231
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

Unique184 ?
Unique (%)97.9%

Sample

1st row서울특별시 송파구 백제고분로42길 6-9 (송파동)
2nd row서울특별시 송파구 올림픽로 319, 4층호 (신천동,교통회관)
3rd row서울특별시 송파구 송파대로32길 6-3 (가락동,(1, 2층))
4th row서울특별시 송파구 삼학사로13길 1 (삼전동,유성B/D2층)
5th row서울특별시 송파구 송이로20길 10, 3층 (가락동, 리치월드빌딩)
ValueCountFrequency (%)
서울특별시 188
 
15.2%
송파구 188
 
15.2%
문정동 32
 
2.6%
가락동 24
 
1.9%
방이동 21
 
1.7%
올림픽로 18
 
1.5%
잠실동 18
 
1.5%
충민로 17
 
1.4%
백제고분로 14
 
1.1%
66 14
 
1.1%
Other values (453) 703
56.8%
2024-05-11T04:28:30.126261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1108
 
16.5%
파 254
 
3.8%
송 237
 
3.5%
, 232
 
3.4%
1 227
 
3.4%
동 218
 
3.2%
시 197
 
2.9%
서 190
 
2.8%
울 190
 
2.8%
( 189
 
2.8%
Other values (221) 3693
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3851
57.2%
Space Separator 1108
 
16.5%
Decimal Number 1080
 
16.0%
Other Punctuation 234
 
3.5%
Open Punctuation 189
 
2.8%
Close Punctuation 189
 
2.8%
Uppercase Letter 42
 
0.6%
Dash Punctuation 38
 
0.6%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 254
 
6.6%
송 237
 
6.2%
동 218
 
5.7%
시 197
 
5.1%
서 190
 
4.9%
울 190
 
4.9%
로 189
 
4.9%
특 188
 
4.9%
별 188
 
4.9%
구 188
 
4.9%
Other values (185) 1812
47.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
23.8%
T 5
11.9%
S 4
 
9.5%
A 4
 
9.5%
Y 3
 
7.1%
D 2
 
4.8%
F 2
 
4.8%
U 2
 
4.8%
N 2
 
4.8%
G 2
 
4.8%
Other values (6) 6
14.3%
Decimal Number
ValueCountFrequency (%)
1 227
21.0%
2 183
16.9%
0 144
13.3%
3 113
10.5%
6 103
9.5%
4 79
 
7.3%
5 67
 
6.2%
8 66
 
6.1%
9 61
 
5.6%
7 37
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 232
99.1%
/ 1
 
0.4%
. 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
1108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3851
57.2%
Common 2839
42.2%
Latin 45
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 254
 
6.6%
송 237
 
6.2%
동 218
 
5.7%
시 197
 
5.1%
서 190
 
4.9%
울 190
 
4.9%
로 189
 
4.9%
특 188
 
4.9%
별 188
 
4.9%
구 188
 
4.9%
Other values (185) 1812
47.1%
Common
ValueCountFrequency (%)
1108
39.0%
, 232
 
8.2%
1 227
 
8.0%
( 189
 
6.7%
) 189
 
6.7%
2 183
 
6.4%
0 144
 
5.1%
3 113
 
4.0%
6 103
 
3.6%
4 79
 
2.8%
Other values (8) 272
 
9.6%
Latin
ValueCountFrequency (%)
B 10
22.2%
T 5
11.1%
S 4
 
8.9%
A 4
 
8.9%
Y 3
 
6.7%
s 2
 
4.4%
D 2
 
4.4%
F 2
 
4.4%
U 2
 
4.4%
N 2
 
4.4%
Other values (8) 9
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3851
57.2%
ASCII 2884
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1108
38.4%
, 232
 
8.0%
1 227
 
7.9%
( 189
 
6.6%
) 189
 
6.6%
2 183
 
6.3%
0 144
 
5.0%
3 113
 
3.9%
6 103
 
3.6%
4 79
 
2.7%
Other values (26) 317
 
11.0%
Hangul
ValueCountFrequency (%)
파 254
 
6.6%
송 237
 
6.2%
동 218
 
5.7%
시 197
 
5.1%
서 190
 
4.9%
울 190
 
4.9%
로 189
 
4.9%
특 188
 
4.9%
별 188
 
4.9%
구 188
 
4.9%
Other values (185) 1812
47.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)64.1%
Missing77
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean21589.778
Minimum5502
Maximum138960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:30.872919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5502
5-th percentile5510
Q15562
median5712
Q35838
95-th percentile138814.6
Maximum138960
Range133458
Interquartile range (IQR)276

Descriptive statistics

Standard deviation43331.295
Coefficient of variation (CV)2.0070283
Kurtosis3.7002932
Mean21589.778
Median Absolute Deviation (MAD)126
Skewness2.3742766
Sum2526004
Variance1.8776011 × 109
MonotonicityNot monotonic
2024-05-11T04:28:31.511156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5838 12
 
6.2%
5510 8
 
4.1%
5545 4
 
2.1%
5556 4
 
2.1%
5782 4
 
2.1%
5562 3
 
1.5%
5854 3
 
1.5%
5840 3
 
1.5%
5543 2
 
1.0%
5561 2
 
1.0%
Other values (65) 72
37.1%
(Missing) 77
39.7%
ValueCountFrequency (%)
5502 1
 
0.5%
5510 8
4.1%
5513 1
 
0.5%
5525 1
 
0.5%
5542 1
 
0.5%
5543 2
 
1.0%
5544 1
 
0.5%
5545 4
2.1%
5548 2
 
1.0%
5556 4
2.1%
ValueCountFrequency (%)
138960 2
1.0%
138873 2
1.0%
138828 1
0.5%
138817 1
0.5%
138814 1
0.5%
138805 1
0.5%
138804 1
0.5%
138220 1
0.5%
138202 1
0.5%
138201 1
0.5%

사업장명
Text

Distinct192
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T04:28:32.262240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.9948454
Min length3

Characters and Unicode

Total characters1551
Distinct characters285
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

Unique190 ?
Unique (%)97.9%

Sample

1st row(주)남아항공사
2nd row(주)새그린여행사
3rd row(주)무쏘관광여행사
4th row메리트클럽
5th row(주)세화여행사
ValueCountFrequency (%)
주식회사 25
 
10.6%
여행사 3
 
1.3%
디퍼런트 2
 
0.9%
주 2
 
0.9%
미래교육여행 2
 
0.9%
루팩토리 1
 
0.4%
주)다음여행클럽 1
 
0.4%
월드코리아 1
 
0.4%
주)하나코리아투어 1
 
0.4%
주)서울관광 1
 
0.4%
Other values (196) 196
83.4%
2024-05-11T04:28:33.248034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 132
 
8.5%
( 107
 
6.9%
) 107
 
6.9%
사 67
 
4.3%
투 49
 
3.2%
행 48
 
3.1%
여 47
 
3.0%
어 47
 
3.0%
이 43
 
2.8%
41
 
2.6%
Other values (275) 863
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1255
80.9%
Open Punctuation 107
 
6.9%
Close Punctuation 107
 
6.9%
Space Separator 41
 
2.6%
Uppercase Letter 22
 
1.4%
Lowercase Letter 15
 
1.0%
Other Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 132
 
10.5%
사 67
 
5.3%
투 49
 
3.9%
행 48
 
3.8%
여 47
 
3.7%
어 47
 
3.7%
이 43
 
3.4%
스 38
 
3.0%
회 27
 
2.2%
식 25
 
2.0%
Other values (245) 732
58.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
T 4
18.2%
N 2
9.1%
U 2
9.1%
R 1
 
4.5%
H 1
 
4.5%
A 1
 
4.5%
K 1
 
4.5%
M 1
 
4.5%
O 1
 
4.5%
Other values (4) 4
18.2%
Lowercase Letter
ValueCountFrequency (%)
o 4
26.7%
r 3
20.0%
m 2
13.3%
v 1
 
6.7%
c 1
 
6.7%
l 1
 
6.7%
e 1
 
6.7%
a 1
 
6.7%
u 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
80.9%
Common 259
 
16.7%
Latin 37
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 132
 
10.5%
사 67
 
5.3%
투 49
 
3.9%
행 48
 
3.8%
여 47
 
3.7%
어 47
 
3.7%
이 43
 
3.4%
스 38
 
3.0%
회 27
 
2.2%
식 25
 
2.0%
Other values (245) 732
58.3%
Latin
ValueCountFrequency (%)
o 4
 
10.8%
C 4
 
10.8%
T 4
 
10.8%
r 3
 
8.1%
N 2
 
5.4%
m 2
 
5.4%
U 2
 
5.4%
v 1
 
2.7%
c 1
 
2.7%
R 1
 
2.7%
Other values (13) 13
35.1%
Common
ValueCountFrequency (%)
( 107
41.3%
) 107
41.3%
41
 
15.8%
. 1
 
0.4%
7 1
 
0.4%
& 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1255
80.9%
ASCII 296
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 132
 
10.5%
사 67
 
5.3%
투 49
 
3.9%
행 48
 
3.8%
여 47
 
3.7%
어 47
 
3.7%
이 43
 
3.4%
스 38
 
3.0%
회 27
 
2.2%
식 25
 
2.0%
Other values (245) 732
58.3%
ASCII
ValueCountFrequency (%)
( 107
36.1%
) 107
36.1%
41
 
13.9%
o 4
 
1.4%
C 4
 
1.4%
T 4
 
1.4%
r 3
 
1.0%
N 2
 
0.7%
m 2
 
0.7%
U 2
 
0.7%
Other values (20) 20
 
6.8%

최종수정일자
Date

Distinct182
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2003-04-23 11:27:48
Maximum2024-03-14 10:47:01
2024-05-11T04:28:33.674844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:28:34.105951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
100 
U
94 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 100
51.5%
U 94
48.5%

Length

2024-05-11T04:28:34.419646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:34.734507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 100
51.5%
u 94
48.5%

데이터갱신일자
Date

Distinct87
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-05-11T04:28:35.087344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:28:35.540617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)80.2%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean209810.07
Minimum206383.83
Maximum213033.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:35.954978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile207048.64
Q1209079.1
median210063.24
Q3210803.74
95-th percentile211760.22
Maximum213033.96
Range6650.1259
Interquartile range (IQR)1724.6389

Descriptive statistics

Standard deviation1433.7909
Coefficient of variation (CV)0.0068337564
Kurtosis-0.22699057
Mean209810.07
Median Absolute Deviation (MAD)890.34563
Skewness-0.45364644
Sum39234483
Variance2055756.3
MonotonicityNot monotonic
2024-05-11T04:28:36.413498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 13
 
6.7%
211734.001815154 3
 
1.5%
210068.709244252 3
 
1.5%
210431.832858016 3
 
1.5%
210480.282018702 3
 
1.5%
208992.217212857 3
 
1.5%
210591.787825479 3
 
1.5%
209039.148023482 2
 
1.0%
210031.154818512 2
 
1.0%
207048.638189411 2
 
1.0%
Other values (140) 150
77.3%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
206383.829438022 1
0.5%
206802.873762097 1
0.5%
206919.478094926 1
0.5%
206941.757489986 1
0.5%
206966.648616237 1
0.5%
206987.356255367 1
0.5%
206990.685929503 1
0.5%
207014.321859086 1
0.5%
207022.590545895 1
0.5%
207048.638189411 2
1.0%
ValueCountFrequency (%)
213033.955354559 1
0.5%
212877.140294641 1
0.5%
212873.839126235 1
0.5%
212852.620762184 1
0.5%
212505.114427183 1
0.5%
212105.640038993 1
0.5%
211849.008022916 1
0.5%
211799.81879972 1
0.5%
211788.824 1
0.5%
211768.594947413 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)80.2%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean444559.79
Minimum441720.32
Maximum448417.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:36.860520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441720.32
5-th percentile441725.29
Q1443566.26
median444856.27
Q3445575.5
95-th percentile446183.05
Maximum448417.8
Range6697.4815
Interquartile range (IQR)2009.2388

Descriptive statistics

Standard deviation1492.5497
Coefficient of variation (CV)0.0033573655
Kurtosis-0.13651338
Mean444559.79
Median Absolute Deviation (MAD)1029.4475
Skewness-0.20299489
Sum83132680
Variance2227704.6
MonotonicityNot monotonic
2024-05-11T04:28:37.570746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 13
 
6.7%
443555.311647511 3
 
1.5%
445895.515259907 3
 
1.5%
443465.4592322 3
 
1.5%
441833.16323518 3
 
1.5%
445885.719952303 3
 
1.5%
443574.427660288 3
 
1.5%
446007.966801057 2
 
1.0%
446040.044744713 2
 
1.0%
445470.105610856 2
 
1.0%
Other values (140) 150
77.3%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
441720.322 1
 
0.5%
441725.293491662 13
6.7%
441833.16323518 3
 
1.5%
441999.819956018 1
 
0.5%
442026.988783 1
 
0.5%
442053.227933005 1
 
0.5%
442070.575741668 1
 
0.5%
442338.115571068 1
 
0.5%
442377.0 1
 
0.5%
442519.274970805 1
 
0.5%
ValueCountFrequency (%)
448417.803499032 1
0.5%
448294.869037663 1
0.5%
448091.494027611 1
0.5%
447968.027991844 1
0.5%
447914.521145312 1
0.5%
447899.368388654 1
0.5%
447142.576627481 1
0.5%
447120.577229325 1
0.5%
446299.352775446 1
0.5%
446201.867636819 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
국내여행업
149 
<NA>
45 

Length

Max length5
Median length5
Mean length4.7680412
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 149
76.8%
<NA> 45
 
23.2%

Length

2024-05-11T04:28:38.136408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:38.816887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 149
76.8%
na 45
 
23.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
122 
관광사업
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
62.9%
관광사업 72
37.1%

Length

2024-05-11T04:28:39.285548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:39.610281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
62.9%
관광사업 72
37.1%

지역구분명
Categorical

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
142 
준주거지역
22 
근린상업지역
21 
일반주거지역
 
4
일반상업지역
 
4

Length

Max length6
Median length4
Mean length4.4123711
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
73.2%
준주거지역 22
 
11.3%
근린상업지역 21
 
10.8%
일반주거지역 4
 
2.1%
일반상업지역 4
 
2.1%
상업지역 1
 
0.5%

Length

2024-05-11T04:28:40.174363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:40.552704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
73.2%
준주거지역 22
 
11.3%
근린상업지역 21
 
10.8%
일반주거지역 4
 
2.1%
일반상업지역 4
 
2.1%
상업지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)32.3%
Missing163
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean2.8387097
Minimum0
Maximum23
Zeros8
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:41.037744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median1
Q32.5
95-th percentile11.5
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.9064364
Coefficient of variation (CV)1.7284037
Kurtosis9.5685196
Mean2.8387097
Median Absolute Deviation (MAD)1
Skewness2.9276597
Sum88
Variance24.073118
MonotonicityNot monotonic
2024-05-11T04:28:41.524943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 14
 
7.2%
0 8
 
4.1%
7 2
 
1.0%
3 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
14 1
 
0.5%
23 1
 
0.5%
2 1
 
0.5%
4 1
 
0.5%
(Missing) 163
84.0%
ValueCountFrequency (%)
0 8
4.1%
1 14
7.2%
2 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
7 2
 
1.0%
9 1
 
0.5%
14 1
 
0.5%
23 1
 
0.5%
ValueCountFrequency (%)
23 1
 
0.5%
14 1
 
0.5%
9 1
 
0.5%
7 2
 
1.0%
5 1
 
0.5%
4 1
 
0.5%
3 1
 
0.5%
2 1
 
0.5%
1 14
7.2%
0 8
4.1%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
142 
기타
45 
아파트지역
 
3
주택가주변
 
2
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.6030928
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
73.2%
기타 45
 
23.2%
아파트지역 3
 
1.5%
주택가주변 2
 
1.0%
학교정화(상대) 2
 
1.0%

Length

2024-05-11T04:28:42.149393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:42.708867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
73.2%
기타 45
 
23.2%
아파트지역 3
 
1.5%
주택가주변 2
 
1.0%
학교정화(상대 2
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

보험기관명
Categorical

Distinct33
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
93 
서울보증보험
34 
한국관광협회
13 
한국관광협회중앙회
10 
서울보증보험주식회사
 
7
Other values (28)
37 

Length

Max length21
Median length4
Mean length6.8865979
Min length4

Unique

Unique24 ?
Unique (%)12.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
47.9%
서울보증보험 34
 
17.5%
한국관광협회 13
 
6.7%
한국관광협회중앙회 10
 
5.2%
서울보증보험주식회사 7
 
3.6%
관광협회 5
 
2.6%
한국관광협회중앙회 여행공제회 3
 
1.5%
서울보증보험(2천만원) 3
 
1.5%
서울특별시관광협회 2
 
1.0%
서울보증보험(841-02-00176) 1
 
0.5%
Other values (23) 23
 
11.9%

Length

2024-05-11T04:28:43.311518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 93
47.0%
서울보증보험 34
 
17.2%
한국관광협회 13
 
6.6%
한국관광협회중앙회 13
 
6.6%
서울보증보험주식회사 7
 
3.5%
관광협회 6
 
3.0%
여행공제회 3
 
1.5%
서울보증보험(2천만원 3
 
1.5%
서울특별시관광협회 2
 
1.0%
보증보험(404-87-01347 1
 
0.5%
Other values (23) 23
 
11.6%

건물용도명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
138 
근린생활시설
38 
사무실
17 
기타
 
1

Length

Max length6
Median length4
Mean length4.2938144
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
71.1%
근린생활시설 38
 
19.6%
사무실 17
 
8.8%
기타 1
 
0.5%

Length

2024-05-11T04:28:43.864311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:44.246589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
71.1%
근린생활시설 38
 
19.6%
사무실 17
 
8.8%
기타 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)33.3%
Missing167
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2.4074074
Minimum0
Maximum17
Zeros8
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:44.638777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9.1
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7953338
Coefficient of variation (CV)1.5765233
Kurtosis8.2032615
Mean2.4074074
Median Absolute Deviation (MAD)1
Skewness2.6999031
Sum65
Variance14.404558
MonotonicityNot monotonic
2024-05-11T04:28:45.131523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 10
 
5.2%
0 8
 
4.1%
3 3
 
1.5%
6 1
 
0.5%
4 1
 
0.5%
10 1
 
0.5%
17 1
 
0.5%
2 1
 
0.5%
7 1
 
0.5%
(Missing) 167
86.1%
ValueCountFrequency (%)
0 8
4.1%
1 10
5.2%
2 1
 
0.5%
3 3
 
1.5%
4 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
10 1
 
0.5%
17 1
 
0.5%
ValueCountFrequency (%)
17 1
 
0.5%
10 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
3 3
 
1.5%
2 1
 
0.5%
1 10
5.2%
0 8
4.1%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
177 
0
 
8
1
 
5
6
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.7371134
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
91.2%
0 8
 
4.1%
1 5
 
2.6%
6 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%

Length

2024-05-11T04:28:45.738300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:28:46.172442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
91.2%
0 8
 
4.1%
1 5
 
2.6%
6 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing192
Missing (%)99.0%
Memory size1.6 KiB
2024-05-11T04:28:46.571530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length8
Mean length8
Min length1

Characters and Unicode

Total characters16
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row3
2nd rowOWNER GOLF TOUR
ValueCountFrequency (%)
3 1
25.0%
owner 1
25.0%
golf 1
25.0%
tour 1
25.0%
2024-05-11T04:28:47.533569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 3
18.8%
R 2
12.5%
2
12.5%
3 1
 
6.2%
W 1
 
6.2%
N 1
 
6.2%
E 1
 
6.2%
G 1
 
6.2%
L 1
 
6.2%
F 1
 
6.2%
Other values (2) 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 13
81.2%
Space Separator 2
 
12.5%
Decimal Number 1
 
6.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
R 2
15.4%
W 1
 
7.7%
N 1
 
7.7%
E 1
 
7.7%
G 1
 
7.7%
L 1
 
7.7%
F 1
 
7.7%
T 1
 
7.7%
U 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13
81.2%
Common 3
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 3
23.1%
R 2
15.4%
W 1
 
7.7%
N 1
 
7.7%
E 1
 
7.7%
G 1
 
7.7%
L 1
 
7.7%
F 1
 
7.7%
T 1
 
7.7%
U 1
 
7.7%
Common
ValueCountFrequency (%)
2
66.7%
3 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 3
18.8%
R 2
12.5%
2
12.5%
3 1
 
6.2%
W 1
 
6.2%
N 1
 
6.2%
E 1
 
6.2%
G 1
 
6.2%
L 1
 
6.2%
F 1
 
6.2%
Other values (2) 2
12.5%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing193
Missing (%)99.5%
Memory size1.6 KiB
2024-05-11T04:28:48.104282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters24
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowDomestic travel business
ValueCountFrequency (%)
domestic 1
33.3%
travel 1
33.3%
business 1
33.3%
2024-05-11T04:28:49.306579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 4
16.7%
e 3
12.5%
t 2
 
8.3%
i 2
 
8.3%
2
 
8.3%
D 1
 
4.2%
o 1
 
4.2%
m 1
 
4.2%
c 1
 
4.2%
r 1
 
4.2%
Other values (6) 6
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21
87.5%
Space Separator 2
 
8.3%
Uppercase Letter 1
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 4
19.0%
e 3
14.3%
t 2
9.5%
i 2
9.5%
o 1
 
4.8%
m 1
 
4.8%
c 1
 
4.8%
r 1
 
4.8%
a 1
 
4.8%
v 1
 
4.8%
Other values (4) 4
19.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22
91.7%
Common 2
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 4
18.2%
e 3
13.6%
t 2
 
9.1%
i 2
 
9.1%
D 1
 
4.5%
o 1
 
4.5%
m 1
 
4.5%
c 1
 
4.5%
r 1
 
4.5%
a 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 4
16.7%
e 3
12.5%
t 2
 
8.3%
i 2
 
8.3%
2
 
8.3%
D 1
 
4.2%
o 1
 
4.2%
m 1
 
4.2%
c 1
 
4.2%
r 1
 
4.2%
Other values (6) 6
25.0%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)64.4%
Missing149
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean60.148444
Minimum0
Maximum902.61
Zeros14
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:49.797376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32.55
Q366
95-th percentile153.528
Maximum902.61
Range902.61
Interquartile range (IQR)66

Descriptive statistics

Standard deviation136.05151
Coefficient of variation (CV)2.261929
Kurtosis35.129337
Mean60.148444
Median Absolute Deviation (MAD)32.55
Skewness5.646091
Sum2706.68
Variance18510.013
MonotonicityNot monotonic
2024-05-11T04:28:50.286959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 14
 
7.2%
66.0 3
 
1.5%
23.0 2
 
1.0%
902.61 1
 
0.5%
15.0 1
 
0.5%
66.11 1
 
0.5%
37.92 1
 
0.5%
30.0 1
 
0.5%
33.74 1
 
0.5%
32.55 1
 
0.5%
Other values (19) 19
 
9.8%
(Missing) 149
76.8%
ValueCountFrequency (%)
0.0 14
7.2%
7.26 1
 
0.5%
10.0 1
 
0.5%
15.0 1
 
0.5%
18.15 1
 
0.5%
23.0 2
 
1.0%
23.5 1
 
0.5%
30.0 1
 
0.5%
32.55 1
 
0.5%
33.3 1
 
0.5%
ValueCountFrequency (%)
902.61 1
0.5%
187.65 1
0.5%
158.91 1
0.5%
132.0 1
0.5%
112.3 1
0.5%
100.0 1
0.5%
82.5 1
0.5%
75.0 1
0.5%
74.25 1
0.5%
68.0 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

자본금
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)27.4%
Missing70
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean82419658
Minimum215053
Maximum5.27791 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:50.784824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215053
5-th percentile21500000
Q148814686
median50000000
Q31 × 108
95-th percentile2 × 108
Maximum5.27791 × 108
Range5.2757595 × 108
Interquartile range (IQR)51185314

Descriptive statistics

Standard deviation87127031
Coefficient of variation (CV)1.0571147
Kurtosis13.487226
Mean82419658
Median Absolute Deviation (MAD)20000000
Skewness3.4140279
Sum1.0220038 × 1010
Variance7.5911195 × 1015
MonotonicityNot monotonic
2024-05-11T04:28:51.508284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
50000000 43
22.2%
100000000 20
 
10.3%
30000000 14
 
7.2%
90000000 5
 
2.6%
200000000 4
 
2.1%
150000000 4
 
2.1%
300000000 3
 
1.5%
20000000 3
 
1.5%
15000000 2
 
1.0%
45000000 2
 
1.0%
Other values (24) 24
 
12.4%
(Missing) 70
36.1%
ValueCountFrequency (%)
215053 1
 
0.5%
4500000 1
 
0.5%
15000000 2
 
1.0%
20000000 3
 
1.5%
30000000 14
7.2%
30041874 1
 
0.5%
30067342 1
 
0.5%
30500000 1
 
0.5%
30685557 1
 
0.5%
31257155 1
 
0.5%
ValueCountFrequency (%)
527791000 1
 
0.5%
511793500 1
 
0.5%
500000000 1
 
0.5%
300000000 3
 
1.5%
200000000 4
 
2.1%
185000000 1
 
0.5%
150000000 4
 
2.1%
120000000 1
 
0.5%
100000000 20
10.3%
92839686 1
 
0.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)98.1%
Missing88
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean20139121
Minimum19981223
Maximum20210614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:52.308162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20051219
Q120100514
median20160119
Q320190292
95-th percentile20200917
Maximum20210614
Range229391
Interquartile range (IQR)89777.25

Descriptive statistics

Standard deviation53260.009
Coefficient of variation (CV)0.0026446044
Kurtosis-0.56987239
Mean20139121
Median Absolute Deviation (MAD)39249
Skewness-0.58451314
Sum2.1347469 × 109
Variance2.8366285 × 109
MonotonicityNot monotonic
2024-05-11T04:28:53.025976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080401 2
 
1.0%
20170201 2
 
1.0%
20160127 1
 
0.5%
20180101 1
 
0.5%
20161201 1
 
0.5%
20151105 1
 
0.5%
20200918 1
 
0.5%
20180303 1
 
0.5%
20170425 1
 
0.5%
20171031 1
 
0.5%
Other values (94) 94
48.5%
(Missing) 88
45.4%
ValueCountFrequency (%)
19981223 1
0.5%
20010818 1
0.5%
20040203 1
0.5%
20040715 1
0.5%
20051215 1
0.5%
20051216 1
0.5%
20051229 1
0.5%
20060322 1
0.5%
20060323 1
0.5%
20061018 1
0.5%
ValueCountFrequency (%)
20210614 1
0.5%
20210420 1
0.5%
20210411 1
0.5%
20210217 1
0.5%
20210129 1
0.5%
20200918 1
0.5%
20200915 1
0.5%
20200910 1
0.5%
20200803 1
0.5%
20200731 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)99.1%
Missing88
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean20149787
Minimum19991222
Maximum20220613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:53.436086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991222
5-th percentile20061219
Q120110514
median20170510
Q320200291
95-th percentile20210916
Maximum20220613
Range229391
Interquartile range (IQR)89777.25

Descriptive statistics

Standard deviation53397.873
Coefficient of variation (CV)0.0026500465
Kurtosis-0.57273203
Mean20149787
Median Absolute Deviation (MAD)39607.5
Skewness-0.602779
Sum2.1358774 × 109
Variance2.8513328 × 109
MonotonicityNot monotonic
2024-05-11T04:28:54.034012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200410 2
 
1.0%
20191231 1
 
0.5%
20181201 1
 
0.5%
20161104 1
 
0.5%
20210917 1
 
0.5%
20190302 1
 
0.5%
20180425 1
 
0.5%
20181031 1
 
0.5%
20180125 1
 
0.5%
20220129 1
 
0.5%
Other values (95) 95
49.0%
(Missing) 88
45.4%
ValueCountFrequency (%)
19991222 1
0.5%
20020818 1
0.5%
20050202 1
0.5%
20050715 1
0.5%
20061215 1
0.5%
20061216 1
0.5%
20061229 1
0.5%
20070322 1
0.5%
20070323 1
0.5%
20071018 1
0.5%
ValueCountFrequency (%)
20220613 1
0.5%
20220420 1
0.5%
20220410 1
0.5%
20220216 1
0.5%
20220129 1
0.5%
20210917 1
0.5%
20210914 1
0.5%
20210909 1
0.5%
20210802 1
0.5%
20210730 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing194
Missing (%)100.0%
Memory size1.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)57.8%
Missing149
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean60.2
Minimum0
Maximum903
Zeros14
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:28:54.460750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q366
95-th percentile153.6
Maximum903
Range903
Interquartile range (IQR)66

Descriptive statistics

Standard deviation136.11068
Coefficient of variation (CV)2.2609748
Kurtosis35.124414
Mean60.2
Median Absolute Deviation (MAD)33
Skewness5.6455527
Sum2709
Variance18526.118
MonotonicityNot monotonic
2024-05-11T04:28:54.844751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 14
 
7.2%
66 5
 
2.6%
23 2
 
1.0%
33 2
 
1.0%
903 1
 
0.5%
15 1
 
0.5%
38 1
 
0.5%
30 1
 
0.5%
34 1
 
0.5%
68 1
 
0.5%
Other values (16) 16
 
8.2%
(Missing) 149
76.8%
ValueCountFrequency (%)
0 14
7.2%
7 1
 
0.5%
10 1
 
0.5%
15 1
 
0.5%
18 1
 
0.5%
23 2
 
1.0%
24 1
 
0.5%
30 1
 
0.5%
33 2
 
1.0%
34 1
 
0.5%
ValueCountFrequency (%)
903 1
0.5%
188 1
0.5%
159 1
0.5%
132 1
0.5%
112 1
0.5%
100 1
0.5%
83 1
0.5%
75 1
0.5%
74 1
0.5%
68 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03230000CDFI226001199200000119921212<NA>3폐업3폐업19971009<NA><NA><NA>421-7091<NA>138850서울특별시 송파구 송파동 86-1번지서울특별시 송파구 백제고분로42길 6-9 (송파동)<NA>(주)남아항공사2004-09-13 13:34:15I2018-08-31 23:59:59.0<NA>209598.781194444809.136367국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFI226001199400000119940727<NA>3폐업3폐업20030602<NA><NA><NA>417-9900<NA>138742서울특별시 송파구 신천동 11-7번지 교통회관 4층호서울특별시 송파구 올림픽로 319, 4층호 (신천동,교통회관)<NA>(주)새그린여행사2004-10-14 10:01:15I2018-08-31 23:59:59.0<NA>209243.16935445935.092531국내여행업관광사업근린상업지역<NA>기타<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
23230000CDFI226001199400000219940801<NA>3폐업3폐업19970115<NA><NA><NA>404-4115<NA>138804서울특별시 송파구 가락동 96-6번지 (1, 2층)서울특별시 송파구 송파대로32길 6-3 (가락동,(1, 2층))<NA>(주)무쏘관광여행사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>210320.383112443680.370313국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33230000CDFI226001199600000119960115<NA>3폐업3폐업19990329<NA><NA><NA>424-6101<NA>138840서울특별시 송파구 삼전동 133번지 유성B/D2층서울특별시 송파구 삼학사로13길 1 (삼전동,유성B/D2층)<NA>메리트클럽2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>208469.230331444546.16567국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43230000CDFI226001199600000219961122<NA>3폐업3폐업20220915<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 86-10 리치월드빌딩서울특별시 송파구 송이로20길 10, 3층 (가락동, 리치월드빌딩)5712(주)세화여행사2022-09-16 09:23:00U2021-12-08 23:08:00.0<NA>210568.255365443769.828726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFI226001199700000119970322<NA>3폐업3폐업19991230<NA><NA><NA>431-2064<NA>138829서울특별시 송파구 방이동 89-11번지 중심3-34호 4동서울특별시 송파구 양재대로 1222, 4동 (방이동,중심3-34호)<NA>열린세상2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>211619.36801445963.384875국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63230000CDFI226001199800000119980320<NA>3폐업3폐업19991230<NA><NA><NA>4190-555<NA>138844서울특별시 송파구 석촌동 184-2번지 대지빌딩4서울특별시 송파구 송파대로 465 (석촌동,대지빌딩4)<NA>(주)레저코리아여행행2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>209172.897186445047.891867국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73230000CDFI226001199800000219980416<NA>3폐업3폐업19990329<NA><NA><NA>4164-895<NA>138847서울특별시 송파구 석촌동 296-6번지 1층<NA><NA>(주)오크트리2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
83230000CDFI226001199800000519981114<NA>3폐업3폐업19990220<NA><NA><NA>423-2853<NA>138863서울특별시 송파구 잠실동 230-2번지서울특별시 송파구 백제고분로 157 (잠실동)<NA>주맥통상(주)2004-09-20 09:36:17I2018-08-31 23:59:59.0<NA>207385.656212444846.632726국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFI226001199800000619981218<NA>3폐업3폐업19990707<NA><NA><NA><NA><NA>138805서울특별시 송파구 가락동 99-3번지서울특별시 송파구 송파대로 260 (가락동)<NA>(주)포인트항공사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>210431.832858443465.459232국내여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1843230000CDFI226001202100000520211231<NA>3폐업3폐업20221130<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 634 가든파이브라이프서울특별시 송파구 충민로 66, 가든파이브라이프 8층 Y8021호 (문정동)5838주식회사 모스트투어2022-12-06 09:49:40U2021-11-02 00:08:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1853230000CDFI226001202200000120140110<NA>1영업/정상13영업중<NA><NA><NA><NA>1566-3455<NA><NA>서울특별시 송파구 가락동 189서울특별시 송파구 오금로46길 41, 2층 (가락동)5782(주) 미래교육여행2022-04-28 17:56:29I2021-12-03 21:00:00.0<NA>211734.001815443555.311648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1863230000CDFI22600120220000022012-01-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 125서울특별시 송파구 마천로21길 3, 2층 1호 (오금동)5722(주)우루루투어2023-05-10 18:58:33U2022-12-04 23:02:00.0<NA>212105.640039444653.925313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873230000CDFI226001202200000320221227<NA>1영업/정상13영업중<NA><NA><NA><NA>064-782-1040<NA><NA>서울특별시 송파구 잠실동 175-14 잠실두성빌딩 109호서울특별시 송파구 올림픽로 92, 잠실두성빌딩 10층 109호 (잠실동)5556주식회사 오투힐2023-01-16 16:59:14U2022-11-30 23:08:00.0<NA>207075.556776445478.752386<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883230000CDFI22600120230000012023-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 144-10 두레빌딩 102호서울특별시 송파구 위례성대로6길 40, 두레빌딩 B1층 102호 (방이동)5632영투어2024-03-06 11:01:48U2023-12-03 00:08:00.0<NA>210227.044813445537.010146<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1893230000CDFI22600120230000022023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-417-0209<NA><NA>서울특별시 송파구 송파동 180-6서울특별시 송파구 송파대로36가길 5, 3층 (송파동)5678프로메스2023-03-21 10:39:43I2022-12-02 22:03:00.0<NA>210084.79836444299.796514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903230000CDFI22600120230000032023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7797-3937<NA><NA>서울특별시 송파구 가락동 189-7 202호서울특별시 송파구 문정로11길 13, 202호 (가락동)5782루팩토리2023-03-21 18:14:37I2022-12-02 22:03:00.0<NA>211799.8188443487.198513<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913230000CDFI22600120230000042023-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 7-29 향군타워서울특별시 송파구 올림픽로35길 123, 향군타워 6층 (신천동)5510주식회사 웨이비코퍼레이션2023-10-05 17:18:46U2022-10-31 00:07:00.0<NA>208883.088818446048.260013<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1923230000CDFI22600120240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 189서울특별시 송파구 오금로46길 41, 2176호 (가락동)5782행복여행사2024-01-10 14:27:24I2023-11-30 23:02:00.0<NA>211734.001815443555.311648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1933230000CDFI22600120240000022024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-431-7287<NA><NA>서울특별시 송파구 오금동 46-5서울특별시 송파구 중대로29길 19, B01호 (오금동)5661스토리쿡2024-03-05 15:16:21U2023-12-03 00:07:00.0<NA>211212.128231444695.118756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>