Overview

Dataset statistics

Number of variables64
Number of observations95
Missing cells3308
Missing cells (%)54.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.9 KiB
Average record size in memory559.4 B

Variable types

Numeric13
Categorical16
Text7
Unsupported28

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123055

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (91.6%)Imbalance
영업상태구분코드 is highly imbalanced (53.0%)Imbalance
영업상태명 is highly imbalanced (53.0%)Imbalance
상세영업상태코드 is highly imbalanced (61.7%)Imbalance
상세영업상태명 is highly imbalanced (61.7%)Imbalance
지역구분명 is highly imbalanced (68.1%)Imbalance
총층수 is highly imbalanced (82.8%)Imbalance
주변환경명 is highly imbalanced (64.6%)Imbalance
건물용도명 is highly imbalanced (69.6%)Imbalance
지하층수 is highly imbalanced (82.0%)Imbalance
폐업일자 has 80 (84.2%) missing valuesMissing
휴업시작일자 has 95 (100.0%) missing valuesMissing
휴업종료일자 has 95 (100.0%) missing valuesMissing
재개업일자 has 95 (100.0%) missing valuesMissing
소재지전화 has 23 (24.2%) missing valuesMissing
소재지면적 has 95 (100.0%) missing valuesMissing
소재지우편번호 has 60 (63.2%) missing valuesMissing
도로명전체주소 has 3 (3.2%) missing valuesMissing
도로명우편번호 has 9 (9.5%) missing valuesMissing
업태구분명 has 95 (100.0%) missing valuesMissing
좌표정보(x) has 2 (2.1%) missing valuesMissing
좌표정보(y) has 2 (2.1%) missing valuesMissing
제작취급품목내용 has 95 (100.0%) missing valuesMissing
보험기관명 has 95 (100.0%) missing valuesMissing
지상층수 has 86 (90.5%) missing valuesMissing
객실수 has 95 (100.0%) missing valuesMissing
건축연면적 has 95 (100.0%) missing valuesMissing
영문상호명 has 90 (94.7%) missing valuesMissing
영문상호주소 has 91 (95.8%) missing valuesMissing
선박총톤수 has 95 (100.0%) missing valuesMissing
선박척수 has 95 (100.0%) missing valuesMissing
선박제원 has 95 (100.0%) missing valuesMissing
무대면적 has 95 (100.0%) missing valuesMissing
좌석수 has 95 (100.0%) missing valuesMissing
기념품종류 has 95 (100.0%) missing valuesMissing
회의실별동시수용인원 has 95 (100.0%) missing valuesMissing
시설면적 has 83 (87.4%) missing valuesMissing
놀이기구수내역 has 95 (100.0%) missing valuesMissing
놀이시설수 has 95 (100.0%) missing valuesMissing
방송시설유무 has 95 (100.0%) missing valuesMissing
발전시설유무 has 95 (100.0%) missing valuesMissing
의무실유무 has 95 (100.0%) missing valuesMissing
안내소유무 has 95 (100.0%) missing valuesMissing
기획여행보험시작일자 has 95 (100.0%) missing valuesMissing
기획여행보험종료일자 has 95 (100.0%) missing valuesMissing
자본금 has 36 (37.9%) missing valuesMissing
보험시작일자 has 95 (100.0%) missing valuesMissing
보험종료일자 has 95 (100.0%) missing valuesMissing
부대시설내역 has 95 (100.0%) missing valuesMissing
시설규모 has 83 (87.4%) missing valuesMissing
Unnamed: 63 has 95 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 21:57:45.669907
Analysis finished2024-04-16 21:57:46.220267
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:46.278445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2024-04-17T06:57:46.385524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
국제회의기획업
95 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 95
100.0%

Length

2024-04-17T06:57:46.505038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:46.589279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 95
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
03_08_01_P
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_08_01_P
2nd row03_08_01_P
3rd row03_08_01_P
4th row03_08_01_P
5th row03_08_01_P

Common Values

ValueCountFrequency (%)
03_08_01_P 95
100.0%

Length

2024-04-17T06:57:46.661067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:46.740451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_01_p 95
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329789.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:46.814147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3277000
Q13330000
median3330000
Q33330000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31756.351
Coefficient of variation (CV)0.0095370448
Kurtosis0.45614304
Mean3329789.5
Median Absolute Deviation (MAD)0
Skewness-0.16156408
Sum3.1633 × 108
Variance1.0084658 × 109
MonotonicityNot monotonic
2024-04-17T06:57:46.902139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330000 51
53.7%
3370000 7
 
7.4%
3290000 7
 
7.4%
3380000 6
 
6.3%
3310000 4
 
4.2%
3350000 3
 
3.2%
3300000 3
 
3.2%
3280000 3
 
3.2%
3250000 3
 
3.2%
3400000 2
 
2.1%
Other values (4) 6
 
6.3%
ValueCountFrequency (%)
3250000 3
 
3.2%
3270000 2
 
2.1%
3280000 3
 
3.2%
3290000 7
 
7.4%
3300000 3
 
3.2%
3310000 4
 
4.2%
3330000 51
53.7%
3340000 1
 
1.1%
3350000 3
 
3.2%
3360000 1
 
1.1%
ValueCountFrequency (%)
3400000 2
 
2.1%
3390000 2
 
2.1%
3380000 6
 
6.3%
3370000 7
 
7.4%
3360000 1
 
1.1%
3350000 3
 
3.2%
3340000 1
 
1.1%
3330000 51
53.7%
3310000 4
 
4.2%
3300000 3
 
3.2%

관리번호
Text

Distinct58
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-17T06:57:47.087498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1900
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

Unique40 ?
Unique (%)42.1%

Sample

1st rowCDFI2263102005000001
2nd rowCDFI2263102018000001
3rd rowCDFI2263102021000001
4th rowCDFI2263102020000001
5th rowCDFI2263102019000001
ValueCountFrequency (%)
cdfi2263102020000001 8
 
8.4%
cdfi2263102017000001 5
 
5.3%
cdfi2263102015000001 5
 
5.3%
cdfi2263102019000001 5
 
5.3%
cdfi2263102017000002 4
 
4.2%
cdfi2263102017000003 3
 
3.2%
cdfi2263102013000001 3
 
3.2%
cdfi2263102006000002 2
 
2.1%
cdfi2263102012000001 2
 
2.1%
cdfi2263102014000001 2
 
2.1%
Other values (48) 56
58.9%
2024-04-17T06:57:47.389687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 704
37.1%
2 327
17.2%
1 206
 
10.8%
3 117
 
6.2%
6 110
 
5.8%
C 95
 
5.0%
D 95
 
5.0%
F 95
 
5.0%
I 95
 
5.0%
7 17
 
0.9%
Other values (4) 39
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1520
80.0%
Uppercase Letter 380
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 704
46.3%
2 327
21.5%
1 206
 
13.6%
3 117
 
7.7%
6 110
 
7.2%
7 17
 
1.1%
9 12
 
0.8%
5 12
 
0.8%
4 9
 
0.6%
8 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 95
25.0%
D 95
25.0%
F 95
25.0%
I 95
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1520
80.0%
Latin 380
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 704
46.3%
2 327
21.5%
1 206
 
13.6%
3 117
 
7.7%
6 110
 
7.2%
7 17
 
1.1%
9 12
 
0.8%
5 12
 
0.8%
4 9
 
0.6%
8 6
 
0.4%
Latin
ValueCountFrequency (%)
C 95
25.0%
D 95
25.0%
F 95
25.0%
I 95
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 704
37.1%
2 327
17.2%
1 206
 
10.8%
3 117
 
6.2%
6 110
 
5.8%
C 95
 
5.0%
D 95
 
5.0%
F 95
 
5.0%
I 95
 
5.0%
7 17
 
0.9%
Other values (4) 39
 
2.1%

인허가일자
Real number (ℝ)

Distinct90
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130237
Minimum19990714
Maximum20201124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:47.515858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990714
5-th percentile20017203
Q120090464
median20150304
Q320170922
95-th percentile20200469
Maximum20201124
Range210410
Interquartile range (IQR)80458

Descriptive statistics

Standard deviation58096.698
Coefficient of variation (CV)0.0028860414
Kurtosis-0.49647539
Mean20130237
Median Absolute Deviation (MAD)30823
Skewness-0.72324642
Sum1.9123725 × 109
Variance3.3752263 × 109
MonotonicityNot monotonic
2024-04-17T06:57:47.653874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200401 2
 
2.1%
20010203 2
 
2.1%
20060221 2
 
2.1%
20170410 2
 
2.1%
20060123 2
 
2.1%
20050328 1
 
1.1%
20190123 1
 
1.1%
20180330 1
 
1.1%
20170518 1
 
1.1%
20171010 1
 
1.1%
Other values (80) 80
84.2%
ValueCountFrequency (%)
19990714 1
1.1%
20000808 1
1.1%
20001114 1
1.1%
20010203 2
2.1%
20020203 1
1.1%
20020426 1
1.1%
20030214 1
1.1%
20030630 1
1.1%
20040220 1
1.1%
20050328 1
1.1%
ValueCountFrequency (%)
20201124 1
1.1%
20200908 1
1.1%
20200820 1
1.1%
20200728 1
1.1%
20200615 1
1.1%
20200406 1
1.1%
20200401 2
2.1%
20200217 1
1.1%
20200212 1
1.1%
20200117 1
1.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
94 
20190305
 
1

Length

Max length8
Median length4
Mean length4.0421053
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row20190305
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 94
98.9%
20190305 1
 
1.1%

Length

2024-04-17T06:57:47.763136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:47.845733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
98.9%
20190305 1
 
1.1%

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
79 
3
14 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 79
83.2%
3 14
 
14.7%
4 2
 
2.1%

Length

2024-04-17T06:57:47.927996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:48.008538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
83.2%
3 14
 
14.7%
4 2
 
2.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
영업/정상
79 
폐업
14 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 79
83.2%
폐업 14
 
14.7%
취소/말소/만료/정지/중지 2
 
2.1%

Length

2024-04-17T06:57:48.093952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:48.169908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 79
83.2%
폐업 14
 
14.7%
취소/말소/만료/정지/중지 2
 
2.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
13
79 
3
14 
31
 
1
35
 
1

Length

Max length2
Median length2
Mean length1.8526316
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row31
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 79
83.2%
3 14
 
14.7%
31 1
 
1.1%
35 1
 
1.1%

Length

2024-04-17T06:57:48.252033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:48.334139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 79
83.2%
3 14
 
14.7%
31 1
 
1.1%
35 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
영업중
79 
폐업
14 
등록취소
 
1
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8736842
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 79
83.2%
폐업 14
 
14.7%
등록취소 1
 
1.1%
직권말소 1
 
1.1%

Length

2024-04-17T06:57:48.421803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:48.511012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 79
83.2%
폐업 14
 
14.7%
등록취소 1
 
1.1%
직권말소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing80
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean20143305
Minimum20070313
Maximum20210218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:48.586828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070313
5-th percentile20070459
Q120095719
median20160826
Q320185510
95-th percentile20203920
Maximum20210218
Range139905
Interquartile range (IQR)89791.5

Descriptive statistics

Standard deviation52079.873
Coefficient of variation (CV)0.0025854681
Kurtosis-1.5095408
Mean20143305
Median Absolute Deviation (MAD)40395
Skewness-0.32982898
Sum3.0214957 × 108
Variance2.7123131 × 109
MonotonicityNot monotonic
2024-04-17T06:57:48.685103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20120420 1
 
1.1%
20190712 1
 
1.1%
20070521 1
 
1.1%
20170831 1
 
1.1%
20110930 1
 
1.1%
20070313 1
 
1.1%
20070712 1
 
1.1%
20160826 1
 
1.1%
20080508 1
 
1.1%
20140414 1
 
1.1%
Other values (5) 5
 
5.3%
(Missing) 80
84.2%
ValueCountFrequency (%)
20070313 1
1.1%
20070521 1
1.1%
20070712 1
1.1%
20080508 1
1.1%
20110930 1
1.1%
20120420 1
1.1%
20140414 1
1.1%
20160826 1
1.1%
20170831 1
1.1%
20171231 1
1.1%
ValueCountFrequency (%)
20210218 1
1.1%
20201221 1
1.1%
20200408 1
1.1%
20190712 1
1.1%
20180309 1
1.1%
20171231 1
1.1%
20170831 1
1.1%
20160826 1
1.1%
20140414 1
1.1%
20120420 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

소재지전화
Text

MISSING 

Distinct72
Distinct (%)100.0%
Missing23
Missing (%)24.2%
Memory size892.0 B
2024-04-17T06:57:48.881577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length10.930556
Min length8

Characters and Unicode

Total characters787
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

Unique72 ?
Unique (%)100.0%

Sample

1st row817-0114
2nd row07086322291
3rd row051 6219411
4th row051 462 3188
5th row051-467-1905
ValueCountFrequency (%)
051 7
 
8.0%
741 2
 
2.3%
783 1
 
1.1%
051)759-3033 1
 
1.1%
0515030882 1
 
1.1%
051-626-6277 1
 
1.1%
051-625-5171 1
 
1.1%
051-923-9100 1
 
1.1%
051-743-1106 1
 
1.1%
920-2480 1
 
1.1%
Other values (70) 70
80.5%
2024-04-17T06:57:49.175745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 123
15.6%
1 114
14.5%
5 97
12.3%
- 93
11.8%
7 79
10.0%
8 56
7.1%
2 48
 
6.1%
4 44
 
5.6%
3 42
 
5.3%
6 40
 
5.1%
Other values (4) 51
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 677
86.0%
Dash Punctuation 93
 
11.8%
Space Separator 15
 
1.9%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
18.2%
1 114
16.8%
5 97
14.3%
7 79
11.7%
8 56
8.3%
2 48
 
7.1%
4 44
 
6.5%
3 42
 
6.2%
6 40
 
5.9%
9 34
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 123
15.6%
1 114
14.5%
5 97
12.3%
- 93
11.8%
7 79
10.0%
8 56
7.1%
2 48
 
6.1%
4 44
 
5.6%
3 42
 
5.3%
6 40
 
5.1%
Other values (4) 51
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 123
15.6%
1 114
14.5%
5 97
12.3%
- 93
11.8%
7 79
10.0%
8 56
7.1%
2 48
 
6.1%
4 44
 
5.6%
3 42
 
5.3%
6 40
 
5.1%
Other values (4) 51
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)71.4%
Missing60
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean611113.03
Minimum600014
Maximum618270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:49.283168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600014
5-th percentile601299.1
Q1611921.5
median612021
Q3612821.5
95-th percentile614846.3
Maximum618270
Range18256
Interquartile range (IQR)900

Descriptive statistics

Standard deviation4014.4962
Coefficient of variation (CV)0.006569155
Kurtosis3.2200786
Mean611113.03
Median Absolute Deviation (MAD)706
Skewness-1.8328564
Sum21388956
Variance16116180
MonotonicityNot monotonic
2024-04-17T06:57:49.394565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
612020 5
 
5.3%
612021 3
 
3.2%
612849 2
 
2.1%
612022 2
 
2.1%
612704 2
 
2.1%
612822 2
 
2.1%
611804 1
 
1.1%
614843 1
 
1.1%
608822 1
 
1.1%
612827 1
 
1.1%
Other values (15) 15
 
15.8%
(Missing) 60
63.2%
ValueCountFrequency (%)
600014 1
1.1%
600044 1
1.1%
601837 1
1.1%
601838 1
1.1%
608822 1
1.1%
609814 1
1.1%
609853 1
1.1%
611804 1
1.1%
611832 1
1.1%
612011 1
1.1%
ValueCountFrequency (%)
618270 1
1.1%
614854 1
1.1%
614843 1
1.1%
613011 1
1.1%
612849 2
2.1%
612827 1
1.1%
612822 2
2.1%
612821 1
1.1%
612727 1
1.1%
612726 1
1.1%

소재지전체주소
Text

Distinct87
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-17T06:57:49.622866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length26.831579
Min length12

Characters and Unicode

Total characters2549
Distinct characters166
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)87.4%

Sample

1st row부산광역시 연제구 연산동 1980-2번지 욱성빌딩 3층
2nd row부산광역시 기장군 기장읍 청강리 146-1번지
3rd row부산광역시 기장군 기장읍 대라리 174-7
4th row부산광역시 사상구 괘법동 578번지 산업용품유통상가
5th row부산광역시 사상구 모라동 1375번지
ValueCountFrequency (%)
부산광역시 95
 
19.9%
해운대구 51
 
10.7%
우동 36
 
7.5%
재송동 9
 
1.9%
1500번지 8
 
1.7%
연제구 7
 
1.5%
부산진구 7
 
1.5%
수영구 6
 
1.3%
중동 5
 
1.0%
연산동 5
 
1.0%
Other values (190) 249
52.1%
2024-04-17T06:57:49.967693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
 
15.0%
산 116
 
4.6%
1 116
 
4.6%
부 108
 
4.2%
동 106
 
4.2%
시 98
 
3.8%
광 96
 
3.8%
역 95
 
3.7%
구 94
 
3.7%
번 72
 
2.8%
Other values (156) 1265
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1549
60.8%
Decimal Number 511
 
20.0%
Space Separator 383
 
15.0%
Dash Punctuation 53
 
2.1%
Lowercase Letter 29
 
1.1%
Uppercase Letter 23
 
0.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 116
 
7.5%
부 108
 
7.0%
동 106
 
6.8%
시 98
 
6.3%
광 96
 
6.2%
역 95
 
6.1%
구 94
 
6.1%
번 72
 
4.6%
지 72
 
4.6%
대 58
 
3.7%
Other values (122) 634
40.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
24.1%
o 4
13.8%
w 2
 
6.9%
p 2
 
6.9%
m 2
 
6.9%
i 2
 
6.9%
a 2
 
6.9%
l 2
 
6.9%
n 2
 
6.9%
x 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 116
22.7%
0 71
13.9%
2 61
11.9%
4 58
11.4%
5 47
9.2%
7 41
 
8.0%
6 37
 
7.2%
3 34
 
6.7%
8 26
 
5.1%
9 20
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
S 5
21.7%
B 3
13.0%
A 2
 
8.7%
T 2
 
8.7%
N 2
 
8.7%
O 1
 
4.3%
X 1
 
4.3%
E 1
 
4.3%
K 1
 
4.3%
Space Separator
ValueCountFrequency (%)
383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1549
60.8%
Common 948
37.2%
Latin 52
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 116
 
7.5%
부 108
 
7.0%
동 106
 
6.8%
시 98
 
6.3%
광 96
 
6.2%
역 95
 
6.1%
구 94
 
6.1%
번 72
 
4.6%
지 72
 
4.6%
대 58
 
3.7%
Other values (122) 634
40.9%
Latin
ValueCountFrequency (%)
e 7
 
13.5%
C 5
 
9.6%
S 5
 
9.6%
o 4
 
7.7%
B 3
 
5.8%
w 2
 
3.8%
p 2
 
3.8%
m 2
 
3.8%
i 2
 
3.8%
A 2
 
3.8%
Other values (11) 18
34.6%
Common
ValueCountFrequency (%)
383
40.4%
1 116
 
12.2%
0 71
 
7.5%
2 61
 
6.4%
4 58
 
6.1%
- 53
 
5.6%
5 47
 
5.0%
7 41
 
4.3%
6 37
 
3.9%
3 34
 
3.6%
Other values (3) 47
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1549
60.8%
ASCII 1000
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
38.3%
1 116
 
11.6%
0 71
 
7.1%
2 61
 
6.1%
4 58
 
5.8%
- 53
 
5.3%
5 47
 
4.7%
7 41
 
4.1%
6 37
 
3.7%
3 34
 
3.4%
Other values (24) 99
 
9.9%
Hangul
ValueCountFrequency (%)
산 116
 
7.5%
부 108
 
7.0%
동 106
 
6.8%
시 98
 
6.3%
광 96
 
6.2%
역 95
 
6.1%
구 94
 
6.1%
번 72
 
4.6%
지 72
 
4.6%
대 58
 
3.7%
Other values (122) 634
40.9%

도로명전체주소
Text

MISSING 

Distinct90
Distinct (%)97.8%
Missing3
Missing (%)3.2%
Memory size892.0 B
2024-04-17T06:57:50.207570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42.5
Mean length36.369565
Min length23

Characters and Unicode

Total characters3346
Distinct characters204
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

Unique89 ?
Unique (%)96.7%

Sample

1st row부산광역시 연제구 연수로 124 (연산동,욱성빌딩 3층)
2nd row부산광역시 기장군 기장읍 청강로74번길 18
3rd row부산광역시 기장군 기장읍 대청로36번길 51-5
4th row부산광역시 사상구 괘감로 37, 산업용품유통상가 27동 136호 (괘법동)
5th row부산광역시 사상구 모라로 22, 610호 (모라동)
ValueCountFrequency (%)
부산광역시 92
 
14.8%
해운대구 49
 
7.9%
우동 34
 
5.5%
센텀중앙로 12
 
1.9%
센텀동로 12
 
1.9%
apec로 10
 
1.6%
55 10
 
1.6%
재송동 9
 
1.4%
부산진구 7
 
1.1%
연제구 7
 
1.1%
Other values (261) 380
61.1%
2024-04-17T06:57:50.784403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
534
 
16.0%
동 122
 
3.6%
, 116
 
3.5%
산 116
 
3.5%
부 108
 
3.2%
1 103
 
3.1%
시 98
 
2.9%
광 95
 
2.8%
역 92
 
2.7%
로 92
 
2.7%
Other values (194) 1870
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1886
56.4%
Space Separator 534
 
16.0%
Decimal Number 522
 
15.6%
Other Punctuation 116
 
3.5%
Open Punctuation 90
 
2.7%
Close Punctuation 90
 
2.7%
Uppercase Letter 64
 
1.9%
Lowercase Letter 30
 
0.9%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
 
6.5%
산 116
 
6.2%
부 108
 
5.7%
시 98
 
5.2%
광 95
 
5.0%
역 92
 
4.9%
로 92
 
4.9%
구 91
 
4.8%
대 75
 
4.0%
해 63
 
3.3%
Other values (157) 934
49.5%
Uppercase Letter
ValueCountFrequency (%)
C 15
23.4%
A 12
18.8%
E 11
17.2%
P 10
15.6%
S 5
 
7.8%
B 4
 
6.2%
T 2
 
3.1%
N 2
 
3.1%
X 1
 
1.6%
O 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
23.3%
o 4
13.3%
i 3
10.0%
n 2
 
6.7%
l 2
 
6.7%
w 2
 
6.7%
m 2
 
6.7%
d 2
 
6.7%
a 2
 
6.7%
x 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 103
19.7%
2 72
13.8%
5 63
12.1%
0 61
11.7%
3 48
9.2%
4 46
8.8%
7 40
 
7.7%
9 38
 
7.3%
6 32
 
6.1%
8 19
 
3.6%
Space Separator
ValueCountFrequency (%)
534
100.0%
Other Punctuation
ValueCountFrequency (%)
, 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1886
56.4%
Common 1366
40.8%
Latin 94
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
 
6.5%
산 116
 
6.2%
부 108
 
5.7%
시 98
 
5.2%
광 95
 
5.0%
역 92
 
4.9%
로 92
 
4.9%
구 91
 
4.8%
대 75
 
4.0%
해 63
 
3.3%
Other values (157) 934
49.5%
Latin
ValueCountFrequency (%)
C 15
16.0%
A 12
12.8%
E 11
11.7%
P 10
10.6%
e 7
 
7.4%
S 5
 
5.3%
B 4
 
4.3%
o 4
 
4.3%
i 3
 
3.2%
n 2
 
2.1%
Other values (12) 21
22.3%
Common
ValueCountFrequency (%)
534
39.1%
, 116
 
8.5%
1 103
 
7.5%
( 90
 
6.6%
) 90
 
6.6%
2 72
 
5.3%
5 63
 
4.6%
0 61
 
4.5%
3 48
 
3.5%
4 46
 
3.4%
Other values (5) 143
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1886
56.4%
ASCII 1460
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
534
36.6%
, 116
 
7.9%
1 103
 
7.1%
( 90
 
6.2%
) 90
 
6.2%
2 72
 
4.9%
5 63
 
4.3%
0 61
 
4.2%
3 48
 
3.3%
4 46
 
3.2%
Other values (27) 237
16.2%
Hangul
ValueCountFrequency (%)
동 122
 
6.5%
산 116
 
6.2%
부 108
 
5.7%
시 98
 
5.2%
광 95
 
5.0%
역 92
 
4.9%
로 92
 
4.9%
구 91
 
4.8%
대 75
 
4.0%
해 63
 
3.3%
Other values (157) 934
49.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)58.1%
Missing9
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean93829.535
Minimum46073
Maximum612892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:50.896557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46073
5-th percentile47035
Q148058
median48059
Q348294.75
95-th percentile611478.25
Maximum612892
Range566819
Interquartile range (IQR)236.75

Descriptive statistics

Standard deviation154964.07
Coefficient of variation (CV)1.651549
Kurtosis7.8949047
Mean93829.535
Median Absolute Deviation (MAD)171.5
Skewness3.1163322
Sum8069340
Variance2.4013864 × 1010
MonotonicityNot monotonic
2024-04-17T06:57:51.000004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 20
21.1%
48060 10
 
10.5%
48058 6
 
6.3%
612020 2
 
2.1%
48093 2
 
2.1%
49037 2
 
2.1%
47209 1
 
1.1%
47875 1
 
1.1%
47759 1
 
1.1%
47246 1
 
1.1%
Other values (40) 40
42.1%
(Missing) 9
 
9.5%
ValueCountFrequency (%)
46073 1
1.1%
46080 1
1.1%
46253 1
1.1%
46918 1
1.1%
46977 1
1.1%
47209 1
1.1%
47246 1
1.1%
47254 1
1.1%
47258 1
1.1%
47282 1
1.1%
ValueCountFrequency (%)
612892 1
1.1%
612022 1
1.1%
612021 1
1.1%
612020 2
2.1%
609853 1
1.1%
608822 1
1.1%
49339 1
1.1%
49124 1
1.1%
49037 2
2.1%
48983 1
1.1%

사업장명
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-17T06:57:51.173266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length8.3368421
Min length2

Characters and Unicode

Total characters792
Distinct characters166
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row(주)거인
2nd row(주)파워
3rd row(주)아우라이엔에스
4th row피알아이커뮤니케이션
5th row(주)예홀
ValueCountFrequency (%)
주식회사 6
 
5.6%
주)리컨벤션 2
 
1.9%
다움 1
 
0.9%
쿠잉웨딩컨벤션 1
 
0.9%
국제교육원 1
 
0.9%
에스피(sp 1
 
0.9%
주)와이앤프로모션 1
 
0.9%
주)티플러스 1
 
0.9%
주)인들디자인 1
 
0.9%
지엠티글로벌 1
 
0.9%
Other values (92) 92
85.2%
2024-04-17T06:57:51.457017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 69
 
8.7%
( 67
 
8.5%
) 67
 
8.5%
이 50
 
6.3%
스 29
 
3.7%
션 21
 
2.7%
케 18
 
2.3%
아 14
 
1.8%
디 13
 
1.6%
13
 
1.6%
Other values (156) 431
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
77.4%
Open Punctuation 67
 
8.5%
Close Punctuation 67
 
8.5%
Uppercase Letter 15
 
1.9%
Space Separator 13
 
1.6%
Lowercase Letter 12
 
1.5%
Other Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 69
 
11.3%
이 50
 
8.2%
스 29
 
4.7%
션 21
 
3.4%
케 18
 
2.9%
아 14
 
2.3%
디 13
 
2.1%
컨 12
 
2.0%
에 12
 
2.0%
니 11
 
1.8%
Other values (135) 364
59.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
S 2
13.3%
I 2
13.3%
N 2
13.3%
C 2
13.3%
G 2
13.3%
P 1
 
6.7%
O 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
25.0%
a 2
16.7%
e 2
16.7%
m 2
16.7%
t 1
 
8.3%
c 1
 
8.3%
g 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
77.4%
Common 152
 
19.2%
Latin 27
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 69
 
11.3%
이 50
 
8.2%
스 29
 
4.7%
션 21
 
3.4%
케 18
 
2.9%
아 14
 
2.3%
디 13
 
2.1%
컨 12
 
2.0%
에 12
 
2.0%
니 11
 
1.8%
Other values (135) 364
59.4%
Latin
ValueCountFrequency (%)
n 3
11.1%
K 3
11.1%
a 2
 
7.4%
e 2
 
7.4%
m 2
 
7.4%
S 2
 
7.4%
I 2
 
7.4%
N 2
 
7.4%
C 2
 
7.4%
G 2
 
7.4%
Other values (5) 5
18.5%
Common
ValueCountFrequency (%)
( 67
44.1%
) 67
44.1%
13
 
8.6%
. 3
 
2.0%
& 1
 
0.7%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
77.4%
ASCII 179
 
22.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 69
 
11.3%
이 50
 
8.2%
스 29
 
4.7%
션 21
 
3.4%
케 18
 
2.9%
아 14
 
2.3%
디 13
 
2.1%
컨 12
 
2.0%
에 12
 
2.0%
니 11
 
1.8%
Other values (135) 364
59.4%
ASCII
ValueCountFrequency (%)
( 67
37.4%
) 67
37.4%
13
 
7.3%
n 3
 
1.7%
K 3
 
1.7%
. 3
 
1.7%
a 2
 
1.1%
e 2
 
1.1%
m 2
 
1.1%
S 2
 
1.1%
Other values (11) 15
 
8.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170041 × 1013
Minimum2.0060221 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:51.571122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060221 × 1013
5-th percentile2.0101926 × 1013
Q12.0150761 × 1013
median2.0190117 × 1013
Q32.0200401 × 1013
95-th percentile2.021012 × 1013
Maximum2.0210226 × 1013
Range1.50005 × 1011
Interquartile range (IQR)4.9640506 × 1010

Descriptive statistics

Standard deviation3.8168755 × 1010
Coefficient of variation (CV)0.0018923489
Kurtosis0.46268882
Mean2.0170041 × 1013
Median Absolute Deviation (MAD)1.9296005 × 1010
Skewness-1.1352309
Sum1.9161539 × 1015
Variance1.4568539 × 1021
MonotonicityNot monotonic
2024-04-17T06:57:51.683541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190404164317 1
 
1.1%
20191105110707 1
 
1.1%
20160812105915 1
 
1.1%
20170410090932 1
 
1.1%
20170501093305 1
 
1.1%
20190104132957 1
 
1.1%
20210122152140 1
 
1.1%
20200316182716 1
 
1.1%
20200401144454 1
 
1.1%
20200623104120 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
20060221093500 1
1.1%
20070313112650 1
1.1%
20070521183131 1
1.1%
20070712102750 1
1.1%
20080917171429 1
1.1%
20110930180403 1
1.1%
20111122155120 1
1.1%
20111122155227 1
1.1%
20111122155732 1
1.1%
20111122163342 1
1.1%
ValueCountFrequency (%)
20210226093514 1
1.1%
20210219093149 1
1.1%
20210122164950 1
1.1%
20210122152140 1
1.1%
20210121145149 1
1.1%
20210119154526 1
1.1%
20210119124102 1
1.1%
20210118135511 1
1.1%
20210112111102 1
1.1%
20201221162214 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
I
68 
U
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 68
71.6%
U 27
 
28.4%

Length

2024-04-17T06:57:51.784895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:51.854097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 68
71.6%
u 27
 
28.4%

데이터갱신일자
Categorical

Distinct46
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
2018-08-31 23:59:59.0
46 
2021-01-24 02:40:00.0
 
2
2019-10-10 02:40:00.0
 
2
2020-04-03 00:23:21.0
 
2
2021-01-21 02:40:00.0
 
2
Other values (41)
41 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique41 ?
Unique (%)43.2%

Sample

1st row2019-04-06 02:40:00.0
2nd row2019-11-07 02:40:00.0
3rd row2021-02-28 00:23:01.0
4th row2020-04-16 00:23:21.0
5th row2019-04-26 02:20:49.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 46
48.4%
2021-01-24 02:40:00.0 2
 
2.1%
2019-10-10 02:40:00.0 2
 
2.1%
2020-04-03 00:23:21.0 2
 
2.1%
2021-01-21 02:40:00.0 2
 
2.1%
2019-01-19 02:21:19.0 1
 
1.1%
2021-01-23 02:40:00.0 1
 
1.1%
2021-02-28 00:23:01.0 1
 
1.1%
2020-04-16 00:23:21.0 1
 
1.1%
2019-04-26 02:20:49.0 1
 
1.1%
Other values (36) 36
37.9%

Length

2024-04-17T06:57:51.930508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 46
24.2%
23:59:59.0 46
24.2%
02:40:00.0 27
14.2%
00:23:21.0 6
 
3.2%
2020-04-03 3
 
1.6%
2021-01-24 2
 
1.1%
2019-10-10 2
 
1.1%
2021-01-21 2
 
1.1%
00:23:27.0 2
 
1.1%
00:23:25.0 2
 
1.1%
Other values (51) 52
27.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)73.1%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean392131.15
Minimum380291.66
Maximum402202.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:52.024248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380291.66
5-th percentile385530.95
Q1389594.43
median393674.03
Q3394085.66
95-th percentile397793.78
Maximum402202.19
Range21910.538
Interquartile range (IQR)4491.2292

Descriptive statistics

Standard deviation4058.0119
Coefficient of variation (CV)0.010348609
Kurtosis0.74226767
Mean392131.15
Median Absolute Deviation (MAD)1651.5512
Skewness-0.5603547
Sum36468197
Variance16467461
MonotonicityNot monotonic
2024-04-17T06:57:52.138235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394482.139208377 9
 
9.5%
393963.840834294 5
 
5.3%
396180.621244719 4
 
4.2%
393810.868918246 3
 
3.2%
393851.969576247 2
 
2.1%
394067.607348183 2
 
2.1%
385754.477258744 2
 
2.1%
393607.260373715 2
 
2.1%
393918.643809797 2
 
2.1%
393954.874442447 2
 
2.1%
Other values (58) 60
63.2%
ValueCountFrequency (%)
380291.656000926 1
1.1%
380700.827195332 1
1.1%
382115.871857602 1
1.1%
385139.215952094 1
1.1%
385488.794606581 1
1.1%
385559.054254242 1
1.1%
385754.477258744 2
2.1%
386151.607173136 1
1.1%
386163.228186082 1
1.1%
387101.414313981 1
1.1%
ValueCountFrequency (%)
402202.194218188 1
 
1.1%
401510.613962736 1
 
1.1%
398986.082038431 1
 
1.1%
398712.516333897 1
 
1.1%
398100.312047176 1
 
1.1%
397589.427500231 1
 
1.1%
396962.538162221 1
 
1.1%
396697.860724865 1
 
1.1%
396180.621244719 4
4.2%
395308.61045334 1
 
1.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)73.1%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean187175.07
Minimum176572.98
Maximum197737.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:52.244166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176572.98
5-th percentile180190.44
Q1186310
median187606.04
Q3188170.2
95-th percentile193412.88
Maximum197737.98
Range21165.003
Interquartile range (IQR)1860.1932

Descriptive statistics

Standard deviation3421.9571
Coefficient of variation (CV)0.01828212
Kurtosis2.5826217
Mean187175.07
Median Absolute Deviation (MAD)1041.3963
Skewness-0.10547087
Sum17407281
Variance11709791
MonotonicityNot monotonic
2024-04-17T06:57:52.345959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187606.035424193 9
 
9.5%
188061.35516256 5
 
5.3%
186522.35047527 4
 
4.2%
187968.239406246 3
 
3.2%
187910.040763301 2
 
2.1%
188000.240488194 2
 
2.1%
179113.980448494 2
 
2.1%
188408.076687691 2
 
2.1%
188170.19630527 2
 
2.1%
187331.440016359 2
 
2.1%
Other values (58) 60
63.2%
ValueCountFrequency (%)
176572.977127069 1
1.1%
179113.980448494 2
2.1%
179403.007901724 1
1.1%
180000.702450066 1
1.1%
180316.936351142 1
1.1%
180448.886028622 1
1.1%
181532.301423753 1
1.1%
182025.581590054 1
1.1%
183810.0 1
1.1%
184084.907299859 1
1.1%
ValueCountFrequency (%)
197737.979994619 1
1.1%
195953.770768749 1
1.1%
195691.475919059 1
1.1%
195364.656354889 1
1.1%
195172.281033233 1
1.1%
192239.940189617 1
1.1%
190510.881282577 1
1.1%
190115.321860098 1
1.1%
189873.536256196 1
1.1%
189776.290986029 1
1.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
국제회의기획업
95 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 95
100.0%

Length

2024-04-17T06:57:52.441787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:52.517804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 95
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
74 
관광사업
21 

Length

Max length4
Median length4
Mean length4
Min length4

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> 74
77.9%
관광사업 21
 
22.1%

Length

2024-04-17T06:57:52.597943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:52.679818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
77.9%
관광사업 21
 
22.1%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
83 
일반주거지역
 
4
일반상업지역
 
3
상업지역
 
2
근린상업지역
 
2

Length

Max length6
Median length4
Mean length4.1894737
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
87.4%
일반주거지역 4
 
4.2%
일반상업지역 3
 
3.2%
상업지역 2
 
2.1%
근린상업지역 2
 
2.1%
주거지역 1
 
1.1%

Length

2024-04-17T06:57:52.792307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:52.887120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
87.4%
일반주거지역 4
 
4.2%
일반상업지역 3
 
3.2%
상업지역 2
 
2.1%
근린상업지역 2
 
2.1%
주거지역 1
 
1.1%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
90 
7
 
2
5
 
1
3
 
1
13
 
1

Length

Max length4
Median length4
Mean length3.8526316
Min length1

Unique

Unique3 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 90
94.7%
7 2
 
2.1%
5 1
 
1.1%
3 1
 
1.1%
13 1
 
1.1%

Length

2024-04-17T06:57:52.978620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:53.055782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
94.7%
7 2
 
2.1%
5 1
 
1.1%
3 1
 
1.1%
13 1
 
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
85 
기타
 
8
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.9157895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
89.5%
기타 8
 
8.4%
학교정화(상대) 2
 
2.1%

Length

2024-04-17T06:57:53.139762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:53.256167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
89.5%
기타 8
 
8.4%
학교정화(상대 2
 
2.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
83 
근린생활시설
 
6
사무실
 
3
교육연구시설
 
1
기타
 
1

Length

Max length15
Median length4
Mean length4.2105263
Min length2

Unique

Unique3 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
87.4%
근린생활시설 6
 
6.3%
사무실 3
 
3.2%
교육연구시설 1
 
1.1%
기타 1
 
1.1%
다가구용 주택(공동주택적용) 1
 
1.1%

Length

2024-04-17T06:57:53.344437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:53.430433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
86.5%
근린생활시설 6
 
6.2%
사무실 3
 
3.1%
교육연구시설 1
 
1.0%
기타 1
 
1.0%
다가구용 1
 
1.0%
주택(공동주택적용 1
 
1.0%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing86
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean5.2222222
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:53.516320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.4
Q13
median5
Q36
95-th percentile9.6
Maximum12
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9486343
Coefficient of variation (CV)0.56463211
Kurtosis3.4728945
Mean5.2222222
Median Absolute Deviation (MAD)1
Skewness1.6018989
Sum47
Variance8.6944444
MonotonicityNot monotonic
2024-04-17T06:57:53.603122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 3
 
3.2%
3 2
 
2.1%
5 1
 
1.1%
4 1
 
1.1%
2 1
 
1.1%
12 1
 
1.1%
(Missing) 86
90.5%
ValueCountFrequency (%)
2 1
 
1.1%
3 2
2.1%
4 1
 
1.1%
5 1
 
1.1%
6 3
3.2%
12 1
 
1.1%
ValueCountFrequency (%)
12 1
 
1.1%
6 3
3.2%
5 1
 
1.1%
4 1
 
1.1%
3 2
2.1%
2 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
<NA>
91 
1
 
3
0
 
1

Length

Max length4
Median length4
Mean length3.8736842
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
95.8%
1 3
 
3.2%
0 1
 
1.1%

Length

2024-04-17T06:57:53.710588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:57:53.834810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
95.8%
1 3
 
3.2%
0 1
 
1.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing90
Missing (%)94.7%
Memory size892.0 B
2024-04-17T06:57:53.968256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length25.4
Min length9

Characters and Unicode

Total characters127
Distinct characters29
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowOcean P&E
2nd rowSAEBUSAN TRAVEL SERVICE CO.LTD
3rd rowESS T&L Inc.
4th rowBUSAN INTERNATIONAL EXCHANGE CENTER
5th rowKORAIL TOURISM DEVELOPMENT (BUSAN BRANCH)
ValueCountFrequency (%)
busan 2
 
11.1%
ocean 1
 
5.6%
development 1
 
5.6%
tourism 1
 
5.6%
korail 1
 
5.6%
center 1
 
5.6%
exchange 1
 
5.6%
international 1
 
5.6%
inc 1
 
5.6%
p&e 1
 
5.6%
Other values (7) 7
38.9%
2024-04-17T06:57:54.246024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 14
 
11.0%
13
 
10.2%
N 10
 
7.9%
A 10
 
7.9%
T 8
 
6.3%
S 8
 
6.3%
R 7
 
5.5%
I 6
 
4.7%
L 6
 
4.7%
O 6
 
4.7%
Other values (19) 39
30.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 102
80.3%
Space Separator 13
 
10.2%
Lowercase Letter 6
 
4.7%
Other Punctuation 4
 
3.1%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 14
13.7%
N 10
9.8%
A 10
9.8%
T 8
 
7.8%
S 8
 
7.8%
R 7
 
6.9%
I 6
 
5.9%
L 6
 
5.9%
O 6
 
5.9%
C 5
 
4.9%
Other values (10) 22
21.6%
Lowercase Letter
ValueCountFrequency (%)
n 2
33.3%
c 2
33.3%
e 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 108
85.0%
Common 19
 
15.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 14
13.0%
N 10
 
9.3%
A 10
 
9.3%
T 8
 
7.4%
S 8
 
7.4%
R 7
 
6.5%
I 6
 
5.6%
L 6
 
5.6%
O 6
 
5.6%
C 5
 
4.6%
Other values (14) 28
25.9%
Common
ValueCountFrequency (%)
13
68.4%
. 2
 
10.5%
& 2
 
10.5%
( 1
 
5.3%
) 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 14
 
11.0%
13
 
10.2%
N 10
 
7.9%
A 10
 
7.9%
T 8
 
6.3%
S 8
 
6.3%
R 7
 
5.5%
I 6
 
4.7%
L 6
 
4.7%
O 6
 
4.7%
Other values (19) 39
30.7%

영문상호주소
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing91
Missing (%)95.8%
Memory size892.0 B
2024-04-17T06:57:54.374632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38.5
Mean length38.5
Min length31

Characters and Unicode

Total characters154
Distinct characters33
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

Unique4 ?
Unique (%)100.0%

Sample

1st rowProfessional Congress Organizer
2nd rowProfessional Convention Organizer
3rd rowPLANNING FOR INTERNATIONAL CONFERENCE INDUSTRY
4th rowPROFESSIONAL CONGRESS / CONVENTION ORGANIZER
ValueCountFrequency (%)
professional 3
18.8%
organizer 3
18.8%
congress 2
12.5%
convention 2
12.5%
planning 1
 
6.2%
for 1
 
6.2%
international 1
 
6.2%
conference 1
 
6.2%
industry 1
 
6.2%
1
 
6.2%
2024-04-17T06:57:54.615114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 15
 
9.7%
12
 
7.8%
O 11
 
7.1%
R 8
 
5.2%
E 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
I 7
 
4.5%
r 7
 
4.5%
C 6
 
3.9%
Other values (23) 65
42.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 87
56.5%
Lowercase Letter 54
35.1%
Space Separator 12
 
7.8%
Other Punctuation 1
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 15
17.2%
O 11
12.6%
R 8
9.2%
E 8
9.2%
I 7
8.0%
C 6
 
6.9%
A 5
 
5.7%
S 5
 
5.7%
P 4
 
4.6%
T 4
 
4.6%
Other values (8) 14
16.1%
Lowercase Letter
ValueCountFrequency (%)
n 8
14.8%
o 7
13.0%
r 7
13.0%
e 6
11.1%
s 6
11.1%
i 5
9.3%
a 4
7.4%
g 3
 
5.6%
z 2
 
3.7%
l 2
 
3.7%
Other values (3) 4
7.4%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 141
91.6%
Common 13
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 15
 
10.6%
O 11
 
7.8%
R 8
 
5.7%
E 8
 
5.7%
n 8
 
5.7%
o 7
 
5.0%
I 7
 
5.0%
r 7
 
5.0%
C 6
 
4.3%
e 6
 
4.3%
Other values (21) 58
41.1%
Common
ValueCountFrequency (%)
12
92.3%
/ 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 15
 
9.7%
12
 
7.8%
O 11
 
7.1%
R 8
 
5.2%
E 8
 
5.2%
n 8
 
5.2%
o 7
 
4.5%
I 7
 
4.5%
r 7
 
4.5%
C 6
 
3.9%
Other values (23) 65
42.2%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing83
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean92.119167
Minimum10
Maximum291.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:54.709010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.4
Q129.72
median37.43
Q3172.6975
95-th percentile249.295
Maximum291.15
Range281.15
Interquartile range (IQR)142.9775

Descriptive statistics

Standard deviation95.004996
Coefficient of variation (CV)1.0313271
Kurtosis-0.10503935
Mean92.119167
Median Absolute Deviation (MAD)21.09
Skewness1.1159032
Sum1105.43
Variance9025.9492
MonotonicityNot monotonic
2024-04-17T06:57:54.793402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10.0 1
 
1.1%
31.9 1
 
1.1%
35.8 1
 
1.1%
39.06 1
 
1.1%
171.34 1
 
1.1%
33.0 1
 
1.1%
215.05 1
 
1.1%
60.18 1
 
1.1%
291.15 1
 
1.1%
176.77 1
 
1.1%
Other values (2) 2
 
2.1%
(Missing) 83
87.4%
ValueCountFrequency (%)
10.0 1
1.1%
18.0 1
1.1%
23.18 1
1.1%
31.9 1
1.1%
33.0 1
1.1%
35.8 1
1.1%
39.06 1
1.1%
60.18 1
1.1%
171.34 1
1.1%
176.77 1
1.1%
ValueCountFrequency (%)
291.15 1
1.1%
215.05 1
1.1%
176.77 1
1.1%
171.34 1
1.1%
60.18 1
1.1%
39.06 1
1.1%
35.8 1
1.1%
33.0 1
1.1%
31.9 1
1.1%
23.18 1
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

자본금
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)45.8%
Missing36
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean1.3941102 × 109
Minimum10000000
Maximum6.6215 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:54.900433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000000
5-th percentile50000000
Q150000000
median96050212
Q31.5 × 108
95-th percentile2.6 × 109
Maximum6.6215 × 1010
Range6.6205 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation8.6064611 × 109
Coefficient of variation (CV)6.1734441
Kurtosis58.367056
Mean1.3941102 × 109
Median Absolute Deviation (MAD)46050212
Skewness7.6215669
Sum8.2252499 × 1010
Variance7.4071173 × 1019
MonotonicityNot monotonic
2024-04-17T06:57:55.008155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
50000000 17
17.9%
100000000 13
 
13.7%
200000000 2
 
2.1%
54000000 2
 
2.1%
2600000000 2
 
2.1%
150000000 2
 
2.1%
90000000 1
 
1.1%
68000000 1
 
1.1%
51000000 1
 
1.1%
530000000 1
 
1.1%
Other values (17) 17
17.9%
(Missing) 36
37.9%
ValueCountFrequency (%)
10000000 1
 
1.1%
50000000 17
17.9%
51000000 1
 
1.1%
52264023 1
 
1.1%
52330000 1
 
1.1%
54000000 2
 
2.1%
57840490 1
 
1.1%
60000000 1
 
1.1%
62370928 1
 
1.1%
65868842 1
 
1.1%
ValueCountFrequency (%)
66215000000 1
1.1%
2697000000 1
1.1%
2600000000 2
2.1%
2000000000 1
1.1%
808598726 1
1.1%
530000000 1
1.1%
308652139 1
1.1%
295000000 1
1.1%
221090779 1
1.1%
200000000 2
2.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing83
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean92.083333
Minimum10
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-17T06:57:55.094273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.4
Q129.75
median37.5
Q3172.5
95-th percentile249.2
Maximum291
Range281
Interquartile range (IQR)142.75

Descriptive statistics

Standard deviation94.967419
Coefficient of variation (CV)1.0313204
Kurtosis-0.10634656
Mean92.083333
Median Absolute Deviation (MAD)21
Skewness1.1157659
Sum1105
Variance9018.8106
MonotonicityNot monotonic
2024-04-17T06:57:55.178130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 1
 
1.1%
32 1
 
1.1%
36 1
 
1.1%
39 1
 
1.1%
171 1
 
1.1%
33 1
 
1.1%
215 1
 
1.1%
60 1
 
1.1%
291 1
 
1.1%
177 1
 
1.1%
Other values (2) 2
 
2.1%
(Missing) 83
87.4%
ValueCountFrequency (%)
10 1
1.1%
18 1
1.1%
23 1
1.1%
32 1
1.1%
33 1
1.1%
36 1
1.1%
39 1
1.1%
60 1
1.1%
171 1
1.1%
177 1
1.1%
ValueCountFrequency (%)
291 1
1.1%
215 1
1.1%
177 1
1.1%
171 1
1.1%
60 1
1.1%
39 1
1.1%
36 1
1.1%
33 1
1.1%
32 1
1.1%
23 1
1.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing95
Missing (%)100.0%
Memory size987.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국제회의기획업03_08_01_P3370000CDFI226310200500000120050328201903054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>817-0114<NA>611832부산광역시 연제구 연산동 1980-2번지 욱성빌딩 3층부산광역시 연제구 연수로 124 (연산동,욱성빌딩 3층)<NA>(주)거인20190404164317U2019-04-06 02:40:00.0<NA>389814.86136188152.123082국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA><NA><NA>
12국제회의기획업03_08_01_P3400000CDFI226310201800000120181128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 청강리 146-1번지부산광역시 기장군 기장읍 청강로74번길 1846080(주)파워20191105110707U2019-11-07 02:40:00.0<NA>402202.194218195364.656355국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>808598726<NA><NA><NA><NA><NA>
23국제회의기획업03_08_01_P3400000CDFI226310202100000120130712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 174-7부산광역시 기장군 기장읍 대청로36번길 51-546073(주)아우라이엔에스20210226093514I2021-02-28 00:23:01.0<NA>401510.613963195172.281033국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA><NA>
34국제회의기획업03_08_01_P3390000CDFI226310202000000120190906<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 578번지 산업용품유통상가부산광역시 사상구 괘감로 37, 산업용품유통상가 27동 136호 (괘법동)46977피알아이커뮤니케이션20200414171341I2020-04-16 00:23:21.0<NA>380291.656001186303.922054국제회의기획업<NA><NA><NA><NA><NA><NA><NA><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><NA>
45국제회의기획업03_08_01_P3390000CDFI226310201900000120110608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 모라동 1375번지부산광역시 사상구 모라로 22, 610호 (모라동)46918(주)예홀20190424112301I2019-04-26 02:20:49.0<NA>380700.827195189776.290986국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>308652139<NA><NA><NA><NA><NA>
56국제회의기획업03_08_01_P3380000CDFI226310202000000120170522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 남천동 224-4번지부산광역시 수영구 수영로388번길 25-11, 1층 (남천동)48311(주)마이스원아시아20200409151258I2020-04-11 00:23:21.0<NA>392109.869468184407.938111국제회의기획업<NA><NA>5<NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10.0<NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>10<NA>
67국제회의기획업03_08_01_P3380000CDFI226310202000000220181127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 광안동 507-8번지부산광역시 수영구 수영로 566, 4층 (광안동)48298쉐어모먼츠위드20200416175234I2020-04-18 00:23:21.0<NA>392467.734821186150.067124국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78국제회의기획업03_08_01_P3380000CDFI226310201700000320170914<NA>1영업/정상13영업중<NA><NA><NA><NA>07086322291<NA><NA>부산광역시 수영구 남천동 11-1번지부산광역시 수영구 광남로 22, 402호 (남천동)48307(주)월드시티홀딩스20170914185838I2018-08-31 23:59:59.0<NA>392277.40132184886.1882국제회의기획업<NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>96050212<NA><NA><NA><NA><NA>
89국제회의기획업03_08_01_P3380000CDFI226310201700000220170821<NA>1영업/정상13영업중<NA><NA><NA><NA>051 6219411<NA><NA>부산광역시 수영구 남천동 556-15번지부산광역시 수영구 황령대로497번길 7, 3층 (남천동)48313세종기획20170821131135I2018-08-31 23:59:59.0<NA>392076.812915184158.946833국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA><NA>
910국제회의기획업03_08_01_P3380000CDFI226310201700000120170410<NA>1영업/정상13영업중<NA><NA><NA><NA>051 462 3188<NA><NA>부산광역시 수영구 민락동 177-1번지 1106호부산광역시 수영구 광안해변로 263, 1106호 (민락동, 파로스오피스텔)48285오션피앤이20170410171440I2018-08-31 23:59:59.0<NA>393339.479017186122.14438국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Ocean P&E<NA><NA><NA><NA><NA><NA><NA><NA>31.9<NA><NA><NA><NA><NA><NA><NA><NA>54000000<NA><NA><NA>32<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
8586국제회의기획업03_08_01_P3330000CDFI226310200000000120000808<NA>3폐업3폐업20070313<NA><NA><NA><NA><NA>612822부산광역시 해운대구 우동 760-3번지 오션타워 723호부산광역시 해운대구 해운대해변로 203, 723호 (우동,오션타워)<NA>(주)비엠컴20070313112650I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8687국제회의기획업03_08_01_P3330000CDFI226310200600000420060306<NA>3폐업3폐업20070712<NA><NA><NA><NA><NA>612727부산광역시 해운대구 중동 1394번지 크리스탈비치오피스텔 1710호<NA><NA>다인커뮤니케이션20070712102750I2018-08-31 23:59:59.0<NA><NA><NA>국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA><NA>
8788국제회의기획업03_08_01_P3330000CDFI226310200400000120040220<NA>3폐업3폐업20160826<NA><NA><NA>051-905-2525<NA>612021부산광역시 해운대구 우동 1500번지부산광역시 해운대구 APEC로 55 (우동)48060(주)부산이오컨벡스20160826153543I2018-08-31 23:59:59.0<NA>394482.139208187606.035424국제회의기획업<NA><NA><NA><NA><NA><NA><NA><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><NA>
8889국제회의기획업03_08_01_P3330000CDFI226310200300000120030214<NA>3폐업3폐업20080508<NA><NA><NA>051-746-5157<NA>612849부산광역시 해운대구 중동 1491-5번지 대림엠파이어빌라 C동 5호부산광역시 해운대구 달맞이길117번가길 138, C동 5호 (중동,대림엠파이어빌라)<NA>(주)경커뮤니케이션20080917171429I2018-08-31 23:59:59.0<NA>398712.516334186488.185064국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8990국제회의기획업03_08_01_P3330000CDFI226310200200000120020203<NA>3폐업3폐업20140414<NA><NA><NA>740-7400<NA>612827부산광역시 해운대구 우동 1291번지 BEXCO 사무동 4층부산광역시 해운대구 APEC로 55, 4층 (우동, BEXCO 사무동)612892렉싱턴컨설팅Inc.20140415164316I2018-08-31 23:59:59.0<NA>393954.874442187331.440016국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9091국제회의기획업03_08_01_P3310000CDFI226310201500000120150304<NA>3폐업3폐업20200408<NA><NA><NA>051-633-7001<NA>608822부산광역시 남구 문현동 183-16번지부산광역시 남구 고동골로36번길 2, 2층 (문현동, 문현빌딩)608822(주)월드시티 네트워크20200408140514U2020-04-10 02:40:00.0<NA>388705.350405184298.966927국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9192국제회의기획업03_08_01_P3300000CDFI226310201700000220170907<NA>3폐업3폐업20201221<NA><NA><NA>0518920070<NA><NA>부산광역시 동래구 안락동 243-54부산광역시 동래구 온천천로471번가길 20, 1층 (안락동)47900화인디앤티20201221162214U2020-12-23 02:40:00.0<NA>391549.455127190115.32186국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9293국제회의기획업03_08_01_P3290000CDFI226310201300000120131128<NA>3폐업3폐업20210218<NA><NA><NA>051-816-6189<NA>614843부산광역시 부산진구 부전동 266-2 11층부산광역시 부산진구 중앙대로 749, 11층 (부전동)47254(주)혜도씨엔씨20210219093149U2021-02-21 02:40:00.0<NA>387648.775142186437.263842국제회의기획업<NA><NA><NA><NA><NA><NA><NA><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><NA>
9394국제회의기획업03_08_01_P3280000CDFI226310201500000120150519<NA>3폐업3폐업20171231<NA><NA><NA>051-463-1180<NA><NA>부산광역시 영도구 동삼동 746-2번지부산광역시 영도구 태종로 736, 5층 (동삼동)49124(주)혜음20180103153649I2018-08-31 23:59:59.0<NA>389594.430547176572.977127국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9495국제회의기획업03_08_01_P3330000CDFI226310201500000220010203<NA>4취소/말소/만료/정지/중지35직권말소20180309<NA><NA><NA><NA><NA>612822부산광역시 해운대구 우동 760-3번지 오션타워 519호<NA><NA>(주)리컨벤션20180309144526I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>