Overview

Dataset statistics

Number of variables60
Number of observations47
Missing cells1213
Missing cells (%)43.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory523.8 B

Variable types

Categorical22
Text9
DateTime4
Unsupported18
Numeric7

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17621/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
총층수 is highly imbalanced (68.3%)Imbalance
건물용도명 is highly imbalanced (65.8%)Imbalance
지상층수 is highly imbalanced (69.1%)Imbalance
지하층수 is highly imbalanced (69.1%)Imbalance
객실수 is highly imbalanced (65.8%)Imbalance
건축연면적 is highly imbalanced (65.8%)Imbalance
선박총톤수 is highly imbalanced (65.8%)Imbalance
선박척수 is highly imbalanced (65.8%)Imbalance
무대면적 is highly imbalanced (65.8%)Imbalance
좌석수 is highly imbalanced (65.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (65.8%)Imbalance
시설면적 is highly imbalanced (64.3%)Imbalance
놀이시설수 is highly imbalanced (65.8%)Imbalance
시설규모 is highly imbalanced (64.3%)Imbalance
인허가취소일자 has 47 (100.0%) missing valuesMissing
폐업일자 has 35 (74.5%) missing valuesMissing
휴업시작일자 has 47 (100.0%) missing valuesMissing
휴업종료일자 has 47 (100.0%) missing valuesMissing
재개업일자 has 47 (100.0%) missing valuesMissing
전화번호 has 18 (38.3%) missing valuesMissing
소재지면적 has 47 (100.0%) missing valuesMissing
소재지우편번호 has 38 (80.9%) missing valuesMissing
도로명우편번호 has 4 (8.5%) missing valuesMissing
업태구분명 has 47 (100.0%) missing valuesMissing
문화사업자구분명 has 47 (100.0%) missing valuesMissing
지역구분명 has 45 (95.7%) missing valuesMissing
주변환경명 has 46 (97.9%) missing valuesMissing
제작취급품목내용 has 47 (100.0%) missing valuesMissing
영문상호명 has 45 (95.7%) missing valuesMissing
영문상호주소 has 45 (95.7%) missing valuesMissing
선박제원 has 47 (100.0%) missing valuesMissing
기념품종류 has 47 (100.0%) missing valuesMissing
놀이기구수내역 has 47 (100.0%) missing valuesMissing
방송시설유무 has 47 (100.0%) missing valuesMissing
발전시설유무 has 47 (100.0%) missing valuesMissing
의무실유무 has 47 (100.0%) missing valuesMissing
안내소유무 has 47 (100.0%) missing valuesMissing
기획여행보험시작일자 has 47 (100.0%) missing valuesMissing
기획여행보험종료일자 has 47 (100.0%) missing valuesMissing
자본금 has 27 (57.4%) missing valuesMissing
보험시작일자 has 32 (68.1%) missing valuesMissing
보험종료일자 has 32 (68.1%) missing valuesMissing
부대시설내역 has 47 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-04-29 19:23:08.363752
Analysis finished2024-04-29 19:23:09.280064
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
3190000
47 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 47
100.0%

Length

2024-04-30T04:23:09.345572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:09.419600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 47
100.0%

관리번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-30T04:23:09.559104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters940
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

Unique47 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042005000001
2nd rowCDFI2260042006000001
3rd rowCDFI2260042012000001
4th rowCDFI2260042013000001
5th rowCDFI2260042013000002
ValueCountFrequency (%)
cdfi2260042005000001 1
 
2.1%
cdfi2260042019000001 1
 
2.1%
cdfi2260042020000002 1
 
2.1%
cdfi2260042020000004 1
 
2.1%
cdfi2260042020000005 1
 
2.1%
cdfi2260042021000001 1
 
2.1%
cdfi2260042021000002 1
 
2.1%
cdfi2260042021000004 1
 
2.1%
cdfi2260042021000005 1
 
2.1%
cdfi2260042021000006 1
 
2.1%
Other values (37) 37
78.7%
2024-04-30T04:23:09.840254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 382
40.6%
2 176
18.7%
4 61
 
6.5%
6 54
 
5.7%
C 47
 
5.0%
D 47
 
5.0%
F 47
 
5.0%
I 47
 
5.0%
1 42
 
4.5%
3 13
 
1.4%
Other values (4) 24
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
80.0%
Uppercase Letter 188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 382
50.8%
2 176
23.4%
4 61
 
8.1%
6 54
 
7.2%
1 42
 
5.6%
3 13
 
1.7%
5 10
 
1.3%
7 7
 
0.9%
8 5
 
0.7%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 47
25.0%
D 47
25.0%
F 47
25.0%
I 47
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 752
80.0%
Latin 188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 382
50.8%
2 176
23.4%
4 61
 
8.1%
6 54
 
7.2%
1 42
 
5.6%
3 13
 
1.7%
5 10
 
1.3%
7 7
 
0.9%
8 5
 
0.7%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
C 47
25.0%
D 47
25.0%
F 47
25.0%
I 47
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 382
40.6%
2 176
18.7%
4 61
 
6.5%
6 54
 
5.7%
C 47
 
5.0%
D 47
 
5.0%
F 47
 
5.0%
I 47
 
5.0%
1 42
 
4.5%
3 13
 
1.4%
Other values (4) 24
 
2.6%

인허가일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2005-05-19 00:00:00
Maximum2024-03-14 00:00:00
2024-04-30T04:23:09.957662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:10.075944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
35 
3
11 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
74.5%
3 11
 
23.4%
5 1
 
2.1%

Length

2024-04-30T04:23:10.190799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:10.279024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
74.5%
3 11
 
23.4%
5 1
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
35 
폐업
11 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.3617021
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 35
74.5%
폐업 11
 
23.4%
제외/삭제/전출 1
 
2.1%

Length

2024-04-30T04:23:10.381533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:10.466041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
74.5%
폐업 11
 
23.4%
제외/삭제/전출 1
 
2.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
13
35 
3
11 
15
 
1

Length

Max length2
Median length2
Mean length1.7659574
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 35
74.5%
3 11
 
23.4%
15 1
 
2.1%

Length

2024-04-30T04:23:10.565179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:10.655200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 35
74.5%
3 11
 
23.4%
15 1
 
2.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
35 
폐업
11 
전출
 
1

Length

Max length3
Median length3
Mean length2.7446809
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 35
74.5%
폐업 11
 
23.4%
전출 1
 
2.1%

Length

2024-04-30T04:23:10.748437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:10.830492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 35
74.5%
폐업 11
 
23.4%
전출 1
 
2.1%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing35
Missing (%)74.5%
Memory size508.0 B
Minimum2013-08-06 00:00:00
Maximum2024-01-16 00:00:00
2024-04-30T04:23:10.918275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:11.027102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

전화번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing18
Missing (%)38.3%
Memory size508.0 B
2024-04-30T04:23:11.225717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.448276
Min length8

Characters and Unicode

Total characters303
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

Unique29 ?
Unique (%)100.0%

Sample

1st row841-9291
2nd row598-0527
3rd row070-4333-8480
4th row834-8835
5th row820-0077
ValueCountFrequency (%)
841-9291 1
 
3.4%
000215770554 1
 
3.4%
0226525517 1
 
3.4%
02-826-9033 1
 
3.4%
02-2633-2358 1
 
3.4%
02-546-6644 1
 
3.4%
02-518-0006 1
 
3.4%
070-8822-9942 1
 
3.4%
070-8648-0662 1
 
3.4%
02-2135-5370 1
 
3.4%
Other values (19) 19
65.5%
2024-04-30T04:23:11.549487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
16.5%
2 42
13.9%
- 36
11.9%
8 28
9.2%
3 28
9.2%
7 25
8.3%
5 24
7.9%
6 22
7.3%
4 20
 
6.6%
1 17
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 267
88.1%
Dash Punctuation 36
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
18.7%
2 42
15.7%
8 28
10.5%
3 28
10.5%
7 25
9.4%
5 24
9.0%
6 22
8.2%
4 20
 
7.5%
1 17
 
6.4%
9 11
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 303
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
16.5%
2 42
13.9%
- 36
11.9%
8 28
9.2%
3 28
9.2%
7 25
8.3%
5 24
7.9%
6 22
7.3%
4 20
 
6.6%
1 17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
16.5%
2 42
13.9%
- 36
11.9%
8 28
9.2%
3 28
9.2%
7 25
8.3%
5 24
7.9%
6 22
7.3%
4 20
 
6.6%
1 17
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing38
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean156530.44
Minimum156011
Maximum156849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:11.654441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156011
5-th percentile156019
Q1156070
median156759
Q3156759
95-th percentile156839
Maximum156849
Range838
Interquartile range (IQR)689

Descriptive statistics

Standard deviation372.25734
Coefficient of variation (CV)0.0023781785
Kurtosis-1.6844706
Mean156530.44
Median Absolute Deviation (MAD)65
Skewness-0.81916668
Sum1408774
Variance138575.53
MonotonicityNot monotonic
2024-04-30T04:23:11.744982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
156759 3
 
6.4%
156849 1
 
2.1%
156824 1
 
2.1%
156712 1
 
2.1%
156011 1
 
2.1%
156031 1
 
2.1%
156070 1
 
2.1%
(Missing) 38
80.9%
ValueCountFrequency (%)
156011 1
 
2.1%
156031 1
 
2.1%
156070 1
 
2.1%
156712 1
 
2.1%
156759 3
6.4%
156824 1
 
2.1%
156849 1
 
2.1%
ValueCountFrequency (%)
156849 1
 
2.1%
156824 1
 
2.1%
156759 3
6.4%
156712 1
 
2.1%
156070 1
 
2.1%
156031 1
 
2.1%
156011 1
 
2.1%

지번주소
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-30T04:23:11.952310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length26.659574
Min length13

Characters and Unicode

Total characters1253
Distinct characters128
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row서울특별시 동작구 신대방동 395
2nd row서울특별시 동작구 사당동 1007-19번지 1층
3rd row서울특별시 동작구 신대방동 395-62번지 삼성보라매옴니타워 럭키세븐빌 102호
4th row서울특별시 동작구 신대방동 693-12번지
5th row서울특별시 동작구 상도동 511 숭실대학교 학생회관 115호
ValueCountFrequency (%)
서울특별시 47
19.7%
동작구 47
19.7%
노량진동 13
 
5.4%
사당동 11
 
4.6%
신대방동 9
 
3.8%
상도동 5
 
2.1%
본동 4
 
1.7%
1층 3
 
1.3%
대방동 3
 
1.3%
719번지 3
 
1.3%
Other values (85) 94
39.3%
2024-04-30T04:23:12.297458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
16.4%
동 102
 
8.1%
1 60
 
4.8%
시 49
 
3.9%
작 48
 
3.8%
서 47
 
3.8%
특 47
 
3.8%
별 47
 
3.8%
구 47
 
3.8%
울 47
 
3.8%
Other values (118) 554
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
62.6%
Decimal Number 229
 
18.3%
Space Separator 205
 
16.4%
Dash Punctuation 29
 
2.3%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
 
13.0%
시 49
 
6.2%
작 48
 
6.1%
서 47
 
6.0%
특 47
 
6.0%
별 47
 
6.0%
구 47
 
6.0%
울 47
 
6.0%
지 19
 
2.4%
진 15
 
1.9%
Other values (102) 317
40.4%
Decimal Number
ValueCountFrequency (%)
1 60
26.2%
0 34
14.8%
3 27
11.8%
5 26
11.4%
2 22
 
9.6%
4 16
 
7.0%
6 14
 
6.1%
9 14
 
6.1%
7 11
 
4.8%
8 5
 
2.2%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
62.6%
Common 466
37.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
 
13.0%
시 49
 
6.2%
작 48
 
6.1%
서 47
 
6.0%
특 47
 
6.0%
별 47
 
6.0%
구 47
 
6.0%
울 47
 
6.0%
지 19
 
2.4%
진 15
 
1.9%
Other values (102) 317
40.4%
Common
ValueCountFrequency (%)
205
44.0%
1 60
 
12.9%
0 34
 
7.3%
- 29
 
6.2%
3 27
 
5.8%
5 26
 
5.6%
2 22
 
4.7%
4 16
 
3.4%
6 14
 
3.0%
9 14
 
3.0%
Other values (5) 19
 
4.1%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
62.6%
ASCII 468
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
43.8%
1 60
 
12.8%
0 34
 
7.3%
- 29
 
6.2%
3 27
 
5.8%
5 26
 
5.6%
2 22
 
4.7%
4 16
 
3.4%
6 14
 
3.0%
9 14
 
3.0%
Other values (6) 21
 
4.5%
Hangul
ValueCountFrequency (%)
동 102
 
13.0%
시 49
 
6.2%
작 48
 
6.1%
서 47
 
6.0%
특 47
 
6.0%
별 47
 
6.0%
구 47
 
6.0%
울 47
 
6.0%
지 19
 
2.4%
진 15
 
1.9%
Other values (102) 317
40.4%

도로명주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-30T04:23:12.529304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length36.255319
Min length23

Characters and Unicode

Total characters1704
Distinct characters148
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 여의대방로20길 33 (신대방동)
2nd row서울특별시 동작구 사당로30길 29-4 (사당동,1층)
3rd row서울특별시 동작구 보라매로5길 23, 102호 (신대방동,삼성보라매옴니타워 럭키세븐빌)
4th row서울특별시 동작구 대림로 21-1 (신대방동)
5th row서울특별시 동작구 상도로 369, 115호 (상도동,숭실대학교 학생회관)
ValueCountFrequency (%)
서울특별시 47
 
15.0%
동작구 47
 
15.0%
노량진동 13
 
4.1%
사당동 10
 
3.2%
신대방동 8
 
2.5%
노량진로 6
 
1.9%
2층 5
 
1.6%
상도로 4
 
1.3%
101호 4
 
1.3%
1층 4
 
1.3%
Other values (130) 166
52.9%
2024-04-30T04:23:12.903785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
 
15.9%
동 117
 
6.9%
1 63
 
3.7%
작 56
 
3.3%
, 55
 
3.2%
2 49
 
2.9%
시 49
 
2.9%
) 48
 
2.8%
( 48
 
2.8%
서 48
 
2.8%
Other values (138) 900
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1006
59.0%
Space Separator 271
 
15.9%
Decimal Number 264
 
15.5%
Other Punctuation 55
 
3.2%
Close Punctuation 48
 
2.8%
Open Punctuation 48
 
2.8%
Dash Punctuation 7
 
0.4%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 117
 
11.6%
작 56
 
5.6%
시 49
 
4.9%
서 48
 
4.8%
별 47
 
4.7%
특 47
 
4.7%
울 47
 
4.7%
구 47
 
4.7%
로 42
 
4.2%
길 29
 
2.9%
Other values (119) 477
47.4%
Decimal Number
ValueCountFrequency (%)
1 63
23.9%
2 49
18.6%
0 40
15.2%
3 29
11.0%
5 22
 
8.3%
9 18
 
6.8%
6 14
 
5.3%
8 13
 
4.9%
4 11
 
4.2%
7 5
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
T 1
20.0%
V 1
20.0%
Space Separator
ValueCountFrequency (%)
271
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1006
59.0%
Common 693
40.7%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 117
 
11.6%
작 56
 
5.6%
시 49
 
4.9%
서 48
 
4.8%
별 47
 
4.7%
특 47
 
4.7%
울 47
 
4.7%
구 47
 
4.7%
로 42
 
4.2%
길 29
 
2.9%
Other values (119) 477
47.4%
Common
ValueCountFrequency (%)
271
39.1%
1 63
 
9.1%
, 55
 
7.9%
2 49
 
7.1%
) 48
 
6.9%
( 48
 
6.9%
0 40
 
5.8%
3 29
 
4.2%
5 22
 
3.2%
9 18
 
2.6%
Other values (5) 50
 
7.2%
Latin
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
T 1
20.0%
V 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1006
59.0%
ASCII 698
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
38.8%
1 63
 
9.0%
, 55
 
7.9%
2 49
 
7.0%
) 48
 
6.9%
( 48
 
6.9%
0 40
 
5.7%
3 29
 
4.2%
5 22
 
3.2%
9 18
 
2.6%
Other values (9) 55
 
7.9%
Hangul
ValueCountFrequency (%)
동 117
 
11.6%
작 56
 
5.6%
시 49
 
4.9%
서 48
 
4.8%
별 47
 
4.7%
특 47
 
4.7%
울 47
 
4.7%
구 47
 
4.7%
로 42
 
4.2%
길 29
 
2.9%
Other values (119) 477
47.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)81.4%
Missing4
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean17422.767
Minimum6900
Maximum156849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:13.028078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6900
5-th percentile6902
Q16915.5
median6980
Q37032.5
95-th percentile141790.3
Maximum156849
Range149949
Interquartile range (IQR)117

Descriptive statistics

Standard deviation38618.753
Coefficient of variation (CV)2.2165683
Kurtosis10.755192
Mean17422.767
Median Absolute Deviation (MAD)63
Skewness3.5009394
Sum749179
Variance1.4914081 × 109
MonotonicityNot monotonic
2024-04-30T04:23:13.133122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6999 3
 
6.4%
6902 3
 
6.4%
7055 2
 
4.3%
6907 2
 
4.3%
6913 2
 
4.3%
156759 2
 
4.3%
6935 1
 
2.1%
6954 1
 
2.1%
7065 1
 
2.1%
6931 1
 
2.1%
Other values (25) 25
53.2%
(Missing) 4
 
8.5%
ValueCountFrequency (%)
6900 1
 
2.1%
6902 3
6.4%
6907 2
4.3%
6910 1
 
2.1%
6913 2
4.3%
6914 1
 
2.1%
6915 1
 
2.1%
6916 1
 
2.1%
6924 1
 
2.1%
6928 1
 
2.1%
ValueCountFrequency (%)
156849 1
2.1%
156759 2
4.3%
7072 1
2.1%
7071 1
2.1%
7065 1
2.1%
7055 2
4.3%
7053 1
2.1%
7043 1
2.1%
7040 1
2.1%
7025 1
2.1%

사업장명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-04-30T04:23:13.333287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length8.9787234
Min length2

Characters and Unicode

Total characters422
Distinct characters134
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowKOYA TOUR(한국청소년연맹)
2nd row(주)류빈
3rd row(주)온리원투어
4th row우리민족여행사
5th row주식회사 에스페레
ValueCountFrequency (%)
주식회사 12
 
17.6%
koya 1
 
1.5%
코리안 1
 
1.5%
대원여행 1
 
1.5%
주)루멘투어 1
 
1.5%
주)글로벌메디컬 1
 
1.5%
주)트래스코 1
 
1.5%
주)아이존투어 1
 
1.5%
허니트레일 1
 
1.5%
한국트레킹투어 1
 
1.5%
Other values (47) 47
69.1%
2024-04-30T04:23:13.679991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
6.9%
21
 
5.0%
) 20
 
4.7%
( 20
 
4.7%
사 18
 
4.3%
투 14
 
3.3%
회 12
 
2.8%
식 12
 
2.8%
어 12
 
2.8%
여 10
 
2.4%
Other values (124) 254
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
74.6%
Uppercase Letter 31
 
7.3%
Space Separator 21
 
5.0%
Close Punctuation 20
 
4.7%
Open Punctuation 20
 
4.7%
Lowercase Letter 15
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
9.2%
사 18
 
5.7%
투 14
 
4.4%
회 12
 
3.8%
식 12
 
3.8%
어 12
 
3.8%
여 10
 
3.2%
행 10
 
3.2%
리 9
 
2.9%
스 8
 
2.5%
Other values (97) 181
57.5%
Uppercase Letter
ValueCountFrequency (%)
O 6
19.4%
R 4
12.9%
T 3
9.7%
F 3
9.7%
U 3
9.7%
E 2
 
6.5%
M 2
 
6.5%
N 2
 
6.5%
K 1
 
3.2%
G 1
 
3.2%
Other values (4) 4
12.9%
Lowercase Letter
ValueCountFrequency (%)
f 2
13.3%
a 2
13.3%
i 2
13.3%
n 2
13.3%
d 2
13.3%
e 1
6.7%
r 1
6.7%
y 1
6.7%
l 1
6.7%
m 1
6.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
74.6%
Common 61
 
14.5%
Latin 46
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
9.2%
사 18
 
5.7%
투 14
 
4.4%
회 12
 
3.8%
식 12
 
3.8%
어 12
 
3.8%
여 10
 
3.2%
행 10
 
3.2%
리 9
 
2.9%
스 8
 
2.5%
Other values (97) 181
57.5%
Latin
ValueCountFrequency (%)
O 6
 
13.0%
R 4
 
8.7%
T 3
 
6.5%
F 3
 
6.5%
U 3
 
6.5%
f 2
 
4.3%
a 2
 
4.3%
i 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (14) 17
37.0%
Common
ValueCountFrequency (%)
21
34.4%
) 20
32.8%
( 20
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
74.6%
ASCII 107
 
25.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
9.2%
사 18
 
5.7%
투 14
 
4.4%
회 12
 
3.8%
식 12
 
3.8%
어 12
 
3.8%
여 10
 
3.2%
행 10
 
3.2%
리 9
 
2.9%
스 8
 
2.5%
Other values (97) 181
57.5%
ASCII
ValueCountFrequency (%)
21
19.6%
) 20
18.7%
( 20
18.7%
O 6
 
5.6%
R 4
 
3.7%
T 3
 
2.8%
F 3
 
2.8%
U 3
 
2.8%
f 2
 
1.9%
a 2
 
1.9%
Other values (17) 23
21.5%

최종수정일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2012-10-18 21:51:43
Maximum2024-04-22 13:02:17
2024-04-30T04:23:13.801010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:13.936748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
U
30 
I
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 30
63.8%
I 17
36.2%

Length

2024-04-30T04:23:14.069283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:14.153843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 30
63.8%
i 17
36.2%

데이터갱신일자
Date

Distinct36
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-04-30T04:23:14.237221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:14.360102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

좌표정보(X)
Real number (ℝ)

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195154.41
Minimum191691.68
Maximum198295.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:14.653165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191691.68
5-th percentile191795.79
Q1193781.39
median194907.44
Q3196441.74
95-th percentile198130.76
Maximum198295.84
Range6604.1649
Interquartile range (IQR)2660.3546

Descriptive statistics

Standard deviation1978.7547
Coefficient of variation (CV)0.010139431
Kurtosis-0.904087
Mean195154.41
Median Absolute Deviation (MAD)1389.0202
Skewness0.035478213
Sum9172257.3
Variance3915470.4
MonotonicityNot monotonic
2024-04-30T04:23:14.752480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
191691.678396263 3
 
6.4%
193176.63667583 2
 
4.3%
197802.054854046 2
 
4.3%
195220.667531843 2
 
4.3%
192842.808605 1
 
2.1%
193908.504978492 1
 
2.1%
194219.201792642 1
 
2.1%
192113.200600983 1
 
2.1%
194243.759387483 1
 
2.1%
198181.324162906 1
 
2.1%
Other values (32) 32
68.1%
ValueCountFrequency (%)
191691.678396263 3
6.4%
192038.709725002 1
 
2.1%
192113.200600983 1
 
2.1%
192842.808605 1
 
2.1%
193131.960291844 1
 
2.1%
193176.63667583 2
4.3%
193250.114103485 1
 
2.1%
193462.167708003 1
 
2.1%
193654.274699851 1
 
2.1%
193908.504978492 1
 
2.1%
ValueCountFrequency (%)
198295.843258378 1
2.1%
198263.012291169 1
2.1%
198181.324162906 1
2.1%
198012.776135688 1
2.1%
197996.381794257 1
2.1%
197932.620226881 1
2.1%
197929.763721771 1
2.1%
197802.436613024 1
2.1%
197802.054854046 2
4.3%
197390.143152718 1
2.1%

좌표정보(Y)
Real number (ℝ)

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444159.67
Minimum441694.29
Maximum445790.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:14.856587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441694.29
5-th percentile442368.53
Q1443049.34
median444038.73
Q3445495.53
95-th percentile445752.74
Maximum445790.55
Range4096.2557
Interquartile range (IQR)2446.1825

Descriptive statistics

Standard deviation1260.0976
Coefficient of variation (CV)0.0028370373
Kurtosis-1.4334222
Mean444159.67
Median Absolute Deviation (MAD)1220.6199
Skewness-0.14378492
Sum20875504
Variance1587845.8
MonotonicityNot monotonic
2024-04-30T04:23:14.961519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
442818.113681285 3
 
6.4%
443379.17134595 2
 
4.3%
443049.47147487 2
 
4.3%
445637.763312173 2
 
4.3%
443406.511358 1
 
2.1%
443940.613858113 1
 
2.1%
444880.903466886 1
 
2.1%
443344.373525343 1
 
2.1%
445540.880579251 1
 
2.1%
441694.294131762 1
 
2.1%
Other values (32) 32
68.1%
ValueCountFrequency (%)
441694.294131762 1
 
2.1%
442131.265172852 1
 
2.1%
442362.921367997 1
 
2.1%
442381.630987122 1
 
2.1%
442507.699069196 1
 
2.1%
442578.047270398 1
 
2.1%
442759.456334899 1
 
2.1%
442818.113681285 3
6.4%
442918.664628817 1
 
2.1%
443049.214038897 1
 
2.1%
ValueCountFrequency (%)
445790.549860682 1
2.1%
445764.45259219 1
2.1%
445755.225992223 1
2.1%
445746.932149292 1
2.1%
445637.957918936 1
2.1%
445637.763312173 2
4.3%
445614.745858588 1
2.1%
445614.10778982 1
2.1%
445545.666860127 1
2.1%
445540.880579251 1
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
25 
종합여행업
22 

Length

Max length5
Median length4
Mean length4.4680851
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
53.2%
종합여행업 22
46.8%

Length

2024-04-30T04:23:15.085150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:15.162762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
53.2%
종합여행업 22
46.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing45
Missing (%)95.7%
Memory size508.0 B
2024-04-30T04:23:15.257530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row근린상업지역
2nd row일반상업지역
ValueCountFrequency (%)
근린상업지역 1
50.0%
일반상업지역 1
50.0%
2024-04-30T04:23:15.485312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
일 1
8.3%
반 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
일 1
8.3%
반 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
일 1
8.3%
반 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
일 1
8.3%
반 1
8.3%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
42 
0
 
3
4
 
1
31
 
1

Length

Max length4
Median length4
Mean length3.7021277
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
89.4%
0 3
 
6.4%
4 1
 
2.1%
31 1
 
2.1%

Length

2024-04-30T04:23:15.601021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:15.695586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
89.4%
0 3
 
6.4%
4 1
 
2.1%
31 1
 
2.1%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing46
Missing (%)97.9%
Memory size508.0 B
2024-04-30T04:23:15.785101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row아파트지역
ValueCountFrequency (%)
아파트지역 1
100.0%
2024-04-30T04:23:15.999690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
20.0%
파 1
20.0%
트 1
20.0%
지 1
20.0%
역 1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

보험기관명
Categorical

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
32 
서울보증보험주식회사
5 
서울보증보험
 
3
여행공제회
 
2
한국관광협회중앙회 관광공제회
 
2
Other values (3)
 
3

Length

Max length18
Median length4
Mean length5.787234
Min length4

Unique

Unique3 ?
Unique (%)6.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
68.1%
서울보증보험주식회사 5
 
10.6%
서울보증보험 3
 
6.4%
여행공제회 2
 
4.3%
한국관광협회중앙회 관광공제회 2
 
4.3%
한국일반여행업협회 1
 
2.1%
서울보증보험(50,000,000) 1
 
2.1%
서울보증보험(주) 1
 
2.1%

Length

2024-04-30T04:23:16.120998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:16.248456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
65.3%
서울보증보험주식회사 5
 
10.2%
서울보증보험 3
 
6.1%
여행공제회 2
 
4.1%
한국관광협회중앙회 2
 
4.1%
관광공제회 2
 
4.1%
한국일반여행업협회 1
 
2.0%
서울보증보험(50,000,000 1
 
2.0%
서울보증보험(주 1
 
2.0%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
근린생활시설
 
3

Length

Max length6
Median length4
Mean length4.1276596
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
근린생활시설 3
 
6.4%

Length

2024-04-30T04:23:16.372595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:16.464680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
근린생활시설 3
 
6.4%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
43 
0
 
3
29
 
1

Length

Max length4
Median length4
Mean length3.7659574
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
91.5%
0 3
 
6.4%
29 1
 
2.1%

Length

2024-04-30T04:23:16.564383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:16.642762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
91.5%
0 3
 
6.4%
29 1
 
2.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
43 
0
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.7446809
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
91.5%
0 3
 
6.4%
2 1
 
2.1%

Length

2024-04-30T04:23:16.724442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:16.813404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
91.5%
0 3
 
6.4%
2 1
 
2.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:16.908791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:16.990976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:17.078952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:17.161304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing45
Missing (%)95.7%
Memory size508.0 B
2024-04-30T04:23:17.257334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length12.5
Min length8

Characters and Unicode

Total characters25
Distinct characters18
Distinct categories4 ?
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 rowMVG TOUR
2nd rowTRAESCO Co., Ltd.
ValueCountFrequency (%)
mvg 1
20.0%
tour 1
20.0%
traesco 1
20.0%
co 1
20.0%
ltd 1
20.0%
2024-04-30T04:23:17.516069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
12.0%
C 2
 
8.0%
T 2
 
8.0%
O 2
 
8.0%
R 2
 
8.0%
. 2
 
8.0%
M 1
 
4.0%
t 1
 
4.0%
L 1
 
4.0%
, 1
 
4.0%
Other values (8) 8
32.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16
64.0%
Space Separator 3
 
12.0%
Other Punctuation 3
 
12.0%
Lowercase Letter 3
 
12.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
T 2
12.5%
O 2
12.5%
R 2
12.5%
M 1
6.2%
L 1
6.2%
E 1
6.2%
S 1
6.2%
V 1
6.2%
A 1
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
o 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19
76.0%
Common 6
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 2
 
10.5%
T 2
 
10.5%
O 2
 
10.5%
R 2
 
10.5%
M 1
 
5.3%
t 1
 
5.3%
L 1
 
5.3%
o 1
 
5.3%
E 1
 
5.3%
S 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
3
50.0%
. 2
33.3%
, 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
 
12.0%
C 2
 
8.0%
T 2
 
8.0%
O 2
 
8.0%
R 2
 
8.0%
. 2
 
8.0%
M 1
 
4.0%
t 1
 
4.0%
L 1
 
4.0%
, 1
 
4.0%
Other values (8) 8
32.0%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing45
Missing (%)95.7%
Memory size508.0 B
2024-04-30T04:23:17.636193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length18
Min length13

Characters and Unicode

Total characters36
Distinct characters22
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 rowGENERAL TRAVEL BUSINESS
2nd rowTravel Agency
ValueCountFrequency (%)
travel 2
40.0%
general 1
20.0%
business 1
20.0%
agency 1
20.0%
2024-04-30T04:23:17.877477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 4
 
11.1%
S 3
 
8.3%
A 3
 
8.3%
3
 
8.3%
N 2
 
5.6%
R 2
 
5.6%
L 2
 
5.6%
T 2
 
5.6%
e 2
 
5.6%
v 1
 
2.8%
Other values (12) 12
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 23
63.9%
Lowercase Letter 10
27.8%
Space Separator 3
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 4
17.4%
S 3
13.0%
A 3
13.0%
N 2
8.7%
R 2
8.7%
L 2
8.7%
T 2
8.7%
G 1
 
4.3%
I 1
 
4.3%
U 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
v 1
10.0%
c 1
10.0%
n 1
10.0%
g 1
10.0%
l 1
10.0%
a 1
10.0%
r 1
10.0%
y 1
10.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33
91.7%
Common 3
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 4
 
12.1%
S 3
 
9.1%
A 3
 
9.1%
N 2
 
6.1%
R 2
 
6.1%
L 2
 
6.1%
T 2
 
6.1%
e 2
 
6.1%
v 1
 
3.0%
c 1
 
3.0%
Other values (11) 11
33.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 4
 
11.1%
S 3
 
8.3%
A 3
 
8.3%
3
 
8.3%
N 2
 
5.6%
R 2
 
5.6%
L 2
 
5.6%
T 2
 
5.6%
e 2
 
5.6%
v 1
 
2.8%
Other values (12) 12
33.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:17.995167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:18.085016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:18.180179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:18.280205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:18.381799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:18.470248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:18.556215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:18.642922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:18.724147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:18.811783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

시설면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
40 
0.0
 
3
74.4
 
1
38.06
 
1
50.0
 
1

Length

Max length5
Median length4
Mean length3.9574468
Min length3

Unique

Unique4 ?
Unique (%)8.5%

Sample

1st row<NA>
2nd row<NA>
3rd row74.4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
85.1%
0.0 3
 
6.4%
74.4 1
 
2.1%
38.06 1
 
2.1%
50.0 1
 
2.1%
29.0 1
 
2.1%

Length

2024-04-30T04:23:18.908278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:19.005464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
85.1%
0.0 3
 
6.4%
74.4 1
 
2.1%
38.06 1
 
2.1%
50.0 1
 
2.1%
29.0 1
 
2.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
0
 
3

Length

Max length4
Median length4
Mean length3.8085106
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
0 3
 
6.4%

Length

2024-04-30T04:23:19.108237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:19.181873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
0 3
 
6.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

자본금
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)50.0%
Missing27
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.8210897 × 108
Minimum1 × 108
Maximum2 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:19.258327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1 × 108
Q11.425 × 108
median2 × 108
Q32.0155857 × 108
95-th percentile4.325 × 108
Maximum2 × 109
Range1.9 × 109
Interquartile range (IQR)59058569

Descriptive statistics

Standard deviation4.1030556 × 108
Coefficient of variation (CV)1.4544222
Kurtosis18.673588
Mean2.8210897 × 108
Median Absolute Deviation (MAD)28117138
Skewness4.2632213
Sum5.6421794 × 109
Variance1.6835065 × 1017
MonotonicityNot monotonic
2024-04-30T04:23:19.365799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
200000000 9
 
19.1%
350000000 2
 
4.3%
100000000 2
 
4.3%
206234277 1
 
2.1%
250000000 1
 
2.1%
150000000 1
 
2.1%
115816300 1
 
2.1%
100128802 1
 
2.1%
120000000 1
 
2.1%
2000000000 1
 
2.1%
(Missing) 27
57.4%
ValueCountFrequency (%)
100000000 2
 
4.3%
100128802 1
 
2.1%
115816300 1
 
2.1%
120000000 1
 
2.1%
150000000 1
 
2.1%
200000000 9
19.1%
206234277 1
 
2.1%
250000000 1
 
2.1%
350000000 2
 
4.3%
2000000000 1
 
2.1%
ValueCountFrequency (%)
2000000000 1
 
2.1%
350000000 2
 
4.3%
250000000 1
 
2.1%
206234277 1
 
2.1%
200000000 9
19.1%
150000000 1
 
2.1%
120000000 1
 
2.1%
115816300 1
 
2.1%
100128802 1
 
2.1%
100000000 2
 
4.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing32
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean20167905
Minimum20090331
Maximum20211022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:19.462427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090331
5-th percentile20104600
Q120145726
median20190208
Q320190756
95-th percentile20210463
Maximum20211022
Range120691
Interquartile range (IQR)45030

Descriptive statistics

Standard deviation35774.262
Coefficient of variation (CV)0.0017738214
Kurtosis0.012856311
Mean20167905
Median Absolute Deviation (MAD)20814
Skewness-0.85543723
Sum3.0251857 × 108
Variance1.2797978 × 109
MonotonicityNot monotonic
2024-04-30T04:23:19.556966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20140722 1
 
2.1%
20090331 1
 
2.1%
20110715 1
 
2.1%
20140304 1
 
2.1%
20150730 1
 
2.1%
20160207 1
 
2.1%
20190430 1
 
2.1%
20211022 1
 
2.1%
20161031 1
 
2.1%
20190830 1
 
2.1%
Other values (5) 5
 
10.6%
(Missing) 32
68.1%
ValueCountFrequency (%)
20090331 1
2.1%
20110715 1
2.1%
20140304 1
2.1%
20140722 1
2.1%
20150730 1
2.1%
20160207 1
2.1%
20161031 1
2.1%
20190208 1
2.1%
20190309 1
2.1%
20190430 1
2.1%
ValueCountFrequency (%)
20211022 1
2.1%
20210223 1
2.1%
20190830 1
2.1%
20190809 1
2.1%
20190703 1
2.1%
20190430 1
2.1%
20190309 1
2.1%
20190208 1
2.1%
20161031 1
2.1%
20160207 1
2.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing32
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean20177904
Minimum20100331
Maximum20221022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-04-30T04:23:19.666264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100331
5-th percentile20114600
Q120155726
median20200207
Q320200755
95-th percentile20220463
Maximum20221022
Range120691
Interquartile range (IQR)45029.5

Descriptive statistics

Standard deviation35774.129
Coefficient of variation (CV)0.0017729358
Kurtosis0.012819986
Mean20177904
Median Absolute Deviation (MAD)20815
Skewness-0.85540754
Sum3.0266856 × 108
Variance1.2797883 × 109
MonotonicityNot monotonic
2024-04-30T04:23:19.787693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20150721 1
 
2.1%
20100331 1
 
2.1%
20120715 1
 
2.1%
20150303 1
 
2.1%
20160730 1
 
2.1%
20170206 1
 
2.1%
20200429 1
 
2.1%
20221022 1
 
2.1%
20171030 1
 
2.1%
20200829 1
 
2.1%
Other values (5) 5
 
10.6%
(Missing) 32
68.1%
ValueCountFrequency (%)
20100331 1
2.1%
20120715 1
2.1%
20150303 1
2.1%
20150721 1
2.1%
20160730 1
2.1%
20170206 1
2.1%
20171030 1
2.1%
20200207 1
2.1%
20200308 1
2.1%
20200429 1
2.1%
ValueCountFrequency (%)
20221022 1
2.1%
20220223 1
2.1%
20200829 1
2.1%
20200808 1
2.1%
20200702 1
2.1%
20200429 1
2.1%
20200308 1
2.1%
20200207 1
2.1%
20171030 1
2.1%
20170206 1
2.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

시설규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
40 
0
 
3
74
 
1
38
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.6382979
Min length1

Unique

Unique4 ?
Unique (%)8.5%

Sample

1st row<NA>
2nd row<NA>
3rd row74
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
85.1%
0 3
 
6.4%
74 1
 
2.1%
38 1
 
2.1%
50 1
 
2.1%
29 1
 
2.1%

Length

2024-04-30T04:23:19.907605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:19.989905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
85.1%
0 3
 
6.4%
74 1
 
2.1%
38 1
 
2.1%
50 1
 
2.1%
29 1
 
2.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03190000CDFI226004200500000120050519<NA>1영업/정상13영업중<NA><NA><NA><NA>841-9291<NA>156849서울특별시 동작구 신대방동 395서울특별시 동작구 여의대방로20길 33 (신대방동)156849KOYA TOUR(한국청소년연맹)2021-07-05 11:28:15U2021-07-07 02:40:00.0<NA>192842.808605443406.511358종합여행업<NA><NA><NA><NA><NA>여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002014072220150721<NA><NA>
13190000CDFI226004200600000120061023<NA>3폐업3폐업20130806<NA><NA><NA>598-0527<NA>156824서울특별시 동작구 사당동 1007-19번지 1층서울특별시 동작구 사당로30길 29-4 (사당동,1층)<NA>(주)류빈2013-08-08 15:39:13I2018-08-31 23:59:59.0<NA>198263.012291442362.921368종합여행업<NA><NA><NA><NA><NA>여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002009033120100331<NA><NA>
23190000CDFI226004201200000120110714<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4333-8480<NA>156712서울특별시 동작구 신대방동 395-62번지 삼성보라매옴니타워 럭키세븐빌 102호서울특별시 동작구 보라매로5길 23, 102호 (신대방동,삼성보라매옴니타워 럭키세븐빌)<NA>(주)온리원투어2012-10-18 21:51:43I2018-08-31 23:59:59.0<NA>193176.636676443379.171346종합여행업<NA><NA><NA><NA><NA>한국일반여행업협회근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>74.4<NA><NA><NA><NA><NA><NA><NA><NA>2062342772011071520120715<NA>74
33190000CDFI226004201300000120130628<NA>1영업/정상13영업중<NA><NA><NA><NA>834-8835<NA>156011서울특별시 동작구 신대방동 693-12번지서울특별시 동작구 대림로 21-1 (신대방동)<NA>우리민족여행사2013-06-28 08:54:41I2018-08-31 23:59:59.0<NA>192038.709725442759.456335종합여행업<NA><NA><NA><NA><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>200000000<NA><NA><NA><NA>
43190000CDFI226004201300000220130906<NA>3폐업3폐업20181203<NA><NA><NA>820-0077<NA>156031서울특별시 동작구 상도동 511 숭실대학교 학생회관 115호서울특별시 동작구 상도로 369, 115호 (상도동,숭실대학교 학생회관)<NA>주식회사 에스페레2021-07-20 18:56:28U2021-07-22 02:40:00.0<NA>196147.389254443795.142709종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA><NA>
53190000CDFI226004201400000220140813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156070서울특별시 동작구 흑석동 332번지서울특별시 동작구 서달로 150 (흑석동)6980(주)메디투어2014-08-13 11:19:36I2018-08-31 23:59:59.0<NA>196587.03063444939.455415종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA><NA>
63190000CDFI226004201400000320140218<NA>3폐업3폐업20180706<NA><NA><NA>02-846-7737<NA>156759서울특별시 동작구 신대방동 719번지서울특별시 동작구 신대방1가길 38, 106동 201호 (신대방동)156759주식회사 스마일국제여행사2018-07-09 09:14:13I2018-08-31 23:59:59.0<NA>191691.678396442818.113681종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002014030420150303<NA><NA>
73190000CDFI226004201500000120150402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156759서울특별시 동작구 신대방동 719번지 성원상떼빌 106동 204호서울특별시 동작구 신대방1가길 38, 106동 204호 (신대방동)7072(주)코리아 국제여행사2016-10-19 13:56:33I2018-08-31 23:59:59.0<NA>191691.678396442818.113681종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38.06<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>38
83190000CDFI226004201500000320150105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-855-2666<NA>156759서울특별시 동작구 신대방동 719번지 동작상떼빌 105동 2206호서울특별시 동작구 신대방1가길 38, 105동 2206호 (신대방동, 동작상떼빌)156759(주)엔젤리스생명과학2015-06-11 13:03:10I2018-08-31 23:59:59.0<NA>191691.678396442818.113681종합여행업<NA>근린상업지역4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>50
93190000CDFI226004201500000520130717<NA>3폐업3폐업20181130<NA><NA><NA>02-2233-3114<NA><NA>서울특별시 동작구 사당동 105번지 사당우성아파트 상가2단지 505호서울특별시 동작구 동작대로29길 91, 505호 (사당동, 사당우성아파트)6999(주)엠브이지투어2018-12-04 18:25:35U2018-12-06 02:40:00.0<NA>197802.054854443049.471475종합여행업<NA><NA><NA><NA><NA>서울보증보험(50,000,000)<NA><NA><NA><NA><NA>MVG TOURGENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002015073020160730<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
373190000CDFI22600420230000012023-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8648-0662<NA><NA>서울특별시 동작구 사당동 1001-33서울특별시 동작구 사당로 268, 2층 (사당동)7012주식회사 에이랩코리아2023-03-14 17:29:06I2022-12-02 23:06:00.0<NA>197932.620227442381.630987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383190000CDFI22600420230000022023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8822-9942<NA><NA>서울특별시 동작구 노량진동 333 고려교육타워-어바니엘한강서울특별시 동작구 노량진로 190, 508호 (노량진동, 고려교육타워-어바니엘한강)6913주식회사 스마트지앤씨2023-04-26 11:05:57U2022-12-03 22:08:00.0<NA>195220.667532445637.763312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393190000CDFI22600420230000032023-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 194-3서울특별시 동작구 흑석로9길 23, 101호 (흑석동)6910호원여행사2023-08-01 10:30:39I2022-12-08 00:03:00.0<NA>196296.458273445056.098489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403190000CDFI22600420230000042023-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 노량진동 333 고려교육타워-어바니엘한강서울특별시 동작구 노량진로 190, 5층 510호 (노량진동, 고려교육타워-어바니엘한강)6913주식회사 더에잇2023-10-22 20:36:27I2022-10-30 22:04:00.0<NA>195220.667532445637.763312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413190000CDFI22600420240000012015-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-0006<NA><NA>서울특별시 동작구 사당동 1017-6서울특별시 동작구 동작대로11길 58, 102호 (사당동)7014주식회사 굿피플여행사2024-01-03 18:17:18I2023-12-01 00:05:00.0<NA>198012.776136442131.265173<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423190000CDFI22600420240000022015-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-546-6644<NA><NA>서울특별시 동작구 사당동 105 사당우성아파트서울특별시 동작구 동작대로29길 91, 402-1호 (사당동, 사당우성아파트)6999주식회사 투리스타2024-01-16 14:53:42U2023-11-30 23:08:00.0<NA>197802.436613443049.214039<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433190000CDFI22600420240000032024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 120-1서울특별시 동작구 동작대로29길 69, 두성빌딩 402호 (사당동)6999새롬스터디카페2024-02-14 10:08:00I2023-12-01 23:06:00.0<NA>197996.381794442918.664629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443190000CDFI22600420240000042024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2633-2358<NA><NA>서울특별시 동작구 노량진동 306-10서울특별시 동작구 장승배기로19길 16, 1층 (노량진동)6935(주)늘푸른투어2024-03-06 09:39:47I2023-12-03 00:08:00.0<NA>194544.574482445119.694756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453190000CDFI22600420240000052024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-826-9033<NA><NA>서울특별시 동작구 본동 494 래미안 트윈파크서울특별시 동작구 노량진로23가길 23, 상가동 203호 (본동, 래미안 트윈파크)6902주식회사 신정항공여행2024-03-26 11:25:56I2023-12-02 22:08:00.0<NA>195580.736178445764.452592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463190000CDFI22600420240000062017-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-7786<NA><NA>서울특별시 동작구 노량진동 67-2 노량진역서울특별시 동작구 노량진로 151, 노량진역 중층 (노량진동)6902주식회사 여행공방2024-04-22 13:02:17U2023-12-03 22:04:00.0<NA>194840.874088445755.225992<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>