Overview

Dataset statistics

Number of variables63
Number of observations44
Missing cells1542
Missing cells (%)55.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.7 KiB
Average record size in memory551.9 B

Variable types

Numeric11
Categorical14
Text10
Unsupported28

Dataset

Description6270000_대구광역시_03_08_01_P_국제회의기획업_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085536&dataSetDetailId=DDI_0000085564&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (56.1%)Imbalance
영업상태명 is highly imbalanced (56.1%)Imbalance
상세영업상태코드 is highly imbalanced (56.1%)Imbalance
상세영업상태명 is highly imbalanced (56.1%)Imbalance
폐업일자 is highly imbalanced (73.2%)Imbalance
총층수 is highly imbalanced (67.6%)Imbalance
지상층수 is highly imbalanced (65.9%)Imbalance
지하층수 is highly imbalanced (73.4%)Imbalance
인허가취소일자 has 44 (100.0%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
소재지전화 has 13 (29.5%) missing valuesMissing
소재지면적 has 44 (100.0%) missing valuesMissing
소재지우편번호 has 29 (65.9%) missing valuesMissing
도로명우편번호 has 2 (4.5%) missing valuesMissing
업태구분명 has 44 (100.0%) missing valuesMissing
지역구분명 has 41 (93.2%) missing valuesMissing
주변환경명 has 42 (95.5%) missing valuesMissing
제작취급품목내용 has 44 (100.0%) missing valuesMissing
보험기관명 has 44 (100.0%) missing valuesMissing
건물용도명 has 38 (86.4%) missing valuesMissing
객실수 has 44 (100.0%) missing valuesMissing
건축연면적 has 44 (100.0%) missing valuesMissing
영문상호명 has 33 (75.0%) missing valuesMissing
영문상호주소 has 34 (77.3%) missing valuesMissing
선박총톤수 has 44 (100.0%) missing valuesMissing
선박척수 has 44 (100.0%) missing valuesMissing
선박제원 has 44 (100.0%) missing valuesMissing
무대면적 has 44 (100.0%) missing valuesMissing
좌석수 has 44 (100.0%) missing valuesMissing
기념품종류 has 44 (100.0%) missing valuesMissing
회의실별동시수용인원 has 44 (100.0%) missing valuesMissing
시설면적 has 33 (75.0%) missing valuesMissing
놀이기구수내역 has 44 (100.0%) missing valuesMissing
놀이시설수 has 44 (100.0%) missing valuesMissing
방송시설유무 has 44 (100.0%) missing valuesMissing
발전시설유무 has 44 (100.0%) missing valuesMissing
의무실유무 has 44 (100.0%) missing valuesMissing
안내소유무 has 44 (100.0%) missing valuesMissing
기획여행보험시작일자 has 44 (100.0%) missing valuesMissing
기획여행보험종료일자 has 44 (100.0%) missing valuesMissing
자본금 has 12 (27.3%) missing valuesMissing
보험시작일자 has 44 (100.0%) missing valuesMissing
보험종료일자 has 44 (100.0%) missing valuesMissing
부대시설내역 has 44 (100.0%) missing valuesMissing
시설규모 has 33 (75.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 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
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

Reproduction

Analysis started2024-04-20 17:04:12.607887
Analysis finished2024-04-20 17:04:13.631360
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:13.755557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-21T02:04:13.989944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
국제회의기획업
44 

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 44
100.0%

Length

2024-04-21T02:04:14.205639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:14.368942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 44
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
03_08_01_P
44 

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 44
100.0%

Length

2024-04-21T02:04:14.538207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:14.702910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_01_p 44
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447954.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:14.850463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation19238.956
Coefficient of variation (CV)0.0055798171
Kurtosis-0.22717069
Mean3447954.5
Median Absolute Deviation (MAD)10000
Skewness-0.86544256
Sum1.5171 × 108
Variance3.7013742 × 108
MonotonicityIncreasing
2024-04-21T02:04:15.047106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3450000 13
29.5%
3460000 13
29.5%
3410000 5
 
11.4%
3470000 5
 
11.4%
3420000 4
 
9.1%
3440000 3
 
6.8%
3480000 1
 
2.3%
ValueCountFrequency (%)
3410000 5
 
11.4%
3420000 4
 
9.1%
3440000 3
 
6.8%
3450000 13
29.5%
3460000 13
29.5%
3470000 5
 
11.4%
3480000 1
 
2.3%
ValueCountFrequency (%)
3480000 1
 
2.3%
3470000 5
 
11.4%
3460000 13
29.5%
3450000 13
29.5%
3440000 3
 
6.8%
3420000 4
 
9.1%
3410000 5
 
11.4%

관리번호
Text

Distinct23
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T02:04:15.652610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters880
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

Unique10 ?
Unique (%)22.7%

Sample

1st rowCDFI2263102005000001
2nd rowCDFI2263102008000001
3rd rowCDFI2263102014000001
4th rowCDFI2263102015000001
5th rowCDFI2263102018000001
ValueCountFrequency (%)
cdfi2263102014000001 5
 
11.4%
cdfi2263102018000001 3
 
6.8%
cdfi2263102017000001 3
 
6.8%
cdfi2263102020000001 3
 
6.8%
cdfi2263102016000001 3
 
6.8%
cdfi2263102015000001 3
 
6.8%
cdfi2263102019000001 2
 
4.5%
cdfi2263102008000001 2
 
4.5%
cdfi2263102009000001 2
 
4.5%
cdfi2263102012000001 2
 
4.5%
Other values (13) 16
36.4%
2024-04-21T02:04:16.462486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 321
36.5%
2 143
16.2%
1 114
 
13.0%
6 49
 
5.6%
3 46
 
5.2%
C 44
 
5.0%
D 44
 
5.0%
F 44
 
5.0%
I 44
 
5.0%
4 8
 
0.9%
Other values (4) 23
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
80.0%
Uppercase Letter 176
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 321
45.6%
2 143
20.3%
1 114
 
16.2%
6 49
 
7.0%
3 46
 
6.5%
4 8
 
1.1%
7 7
 
1.0%
8 6
 
0.9%
5 5
 
0.7%
9 5
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 44
25.0%
D 44
25.0%
F 44
25.0%
I 44
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 704
80.0%
Latin 176
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 321
45.6%
2 143
20.3%
1 114
 
16.2%
6 49
 
7.0%
3 46
 
6.5%
4 8
 
1.1%
7 7
 
1.0%
8 6
 
0.9%
5 5
 
0.7%
9 5
 
0.7%
Latin
ValueCountFrequency (%)
C 44
25.0%
D 44
25.0%
F 44
25.0%
I 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 321
36.5%
2 143
16.2%
1 114
 
13.0%
6 49
 
5.6%
3 46
 
5.2%
C 44
 
5.0%
D 44
 
5.0%
F 44
 
5.0%
I 44
 
5.0%
4 8
 
0.9%
Other values (4) 23
 
2.6%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136894
Minimum20020822
Maximum20200601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:16.703499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020822
5-th percentile20050437
Q120100485
median20150408
Q320170444
95-th percentile20198658
Maximum20200601
Range179779
Interquartile range (IQR)69958.5

Descriptive statistics

Standard deviation48046.597
Coefficient of variation (CV)0.0023859983
Kurtosis-0.38800345
Mean20136894
Median Absolute Deviation (MAD)29856
Skewness-0.77498131
Sum8.8602336 × 108
Variance2.3084755 × 109
MonotonicityNot monotonic
2024-04-21T02:04:16.955979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20051116 1
 
2.3%
20181011 1
 
2.3%
20100408 1
 
2.3%
20020822 1
 
2.3%
20120112 1
 
2.3%
20140717 1
 
2.3%
20170217 1
 
2.3%
20170223 1
 
2.3%
20170227 1
 
2.3%
20170622 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
20020822 1
2.3%
20041105 1
2.3%
20050317 1
2.3%
20051116 1
2.3%
20060303 1
2.3%
20060928 1
2.3%
20080527 1
2.3%
20081229 1
2.3%
20091026 1
2.3%
20100406 1
2.3%
ValueCountFrequency (%)
20200601 1
2.3%
20200305 1
2.3%
20200114 1
2.3%
20190405 1
2.3%
20190208 1
2.3%
20181204 1
2.3%
20181011 1
2.3%
20180323 1
2.3%
20180205 1
2.3%
20170622 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
1
40 
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
90.9%
3 4
 
9.1%

Length

2024-04-21T02:04:17.184436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:17.548502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
90.9%
3 4
 
9.1%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
영업/정상
40 
폐업
 
4

Length

Max length5
Median length5
Mean length4.7272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 40
90.9%
폐업 4
 
9.1%

Length

2024-04-21T02:04:17.733631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:17.916202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
90.9%
폐업 4
 
9.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
13
40 
3
 
4

Length

Max length2
Median length2
Mean length1.9090909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 40
90.9%
3 4
 
9.1%

Length

2024-04-21T02:04:18.098405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:18.276823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 40
90.9%
3 4
 
9.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
영업중
40 
폐업
 
4

Length

Max length3
Median length3
Mean length2.9090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 40
90.9%
폐업 4
 
9.1%

Length

2024-04-21T02:04:18.457507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:18.636659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 40
90.9%
폐업 4
 
9.1%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
40 
20150703
 
1
20190508
 
1
20170915
 
1
20140122
 
1

Length

Max length8
Median length4
Mean length4.3636364
Min length4

Unique

Unique4 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
90.9%
20150703 1
 
2.3%
20190508 1
 
2.3%
20170915 1
 
2.3%
20140122 1
 
2.3%

Length

2024-04-21T02:04:18.834751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:19.042994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
90.9%
20150703 1
 
2.3%
20190508 1
 
2.3%
20170915 1
 
2.3%
20140122 1
 
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

소재지전화
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing13
Missing (%)29.5%
Memory size480.0 B
2024-04-21T02:04:19.695184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.967742
Min length7

Characters and Unicode

Total characters340
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row053-427-4312
2nd row255-9502
3rd row053-431-3000
4th row053-424-1400
5th row985-9559
ValueCountFrequency (%)
053-427-4312 1
 
3.0%
4523 1
 
3.0%
0532170088 1
 
3.0%
053-625-3220 1
 
3.0%
0537466407 1
 
3.0%
053-563-9600 1
 
3.0%
053-426-3610 1
 
3.0%
625-6123 1
 
3.0%
053-474-2300 1
 
3.0%
053-765-4765 1
 
3.0%
Other values (23) 23
69.7%
2024-04-21T02:04:20.603296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
17.1%
5 51
15.0%
3 46
13.5%
- 46
13.5%
4 27
7.9%
7 26
7.6%
2 21
 
6.2%
6 21
 
6.2%
1 20
 
5.9%
8 12
 
3.5%
Other values (3) 12
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
85.6%
Dash Punctuation 46
 
13.5%
Space Separator 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
19.9%
5 51
17.5%
3 46
15.8%
4 27
9.3%
7 26
8.9%
2 21
 
7.2%
6 21
 
7.2%
1 20
 
6.9%
8 12
 
4.1%
9 9
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58
17.1%
5 51
15.0%
3 46
13.5%
- 46
13.5%
4 27
7.9%
7 26
7.6%
2 21
 
6.2%
6 21
 
6.2%
1 20
 
5.9%
8 12
 
3.5%
Other values (3) 12
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
17.1%
5 51
15.0%
3 46
13.5%
- 46
13.5%
4 27
7.9%
7 26
7.6%
2 21
 
6.2%
6 21
 
6.2%
1 20
 
5.9%
8 12
 
3.5%
Other values (3) 12
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing29
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean704157.6
Minimum700811
Maximum706852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:20.802293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700811
5-th percentile700819.4
Q1702772
median704721
Q3706274
95-th percentile706819.8
Maximum706852
Range6041
Interquartile range (IQR)3502

Descriptive statistics

Standard deviation2192.5502
Coefficient of variation (CV)0.0031137209
Kurtosis-1.4179838
Mean704157.6
Median Absolute Deviation (MAD)2000
Skewness-0.13752779
Sum10562364
Variance4807276.5
MonotonicityNot monotonic
2024-04-21T02:04:20.987139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
700811 1
 
2.3%
700823 1
 
2.3%
701835 1
 
2.3%
705827 1
 
2.3%
705035 1
 
2.3%
702712 1
 
2.3%
702845 1
 
2.3%
702832 1
 
2.3%
702837 1
 
2.3%
706803 1
 
2.3%
Other values (5) 5
 
11.4%
(Missing) 29
65.9%
ValueCountFrequency (%)
700811 1
2.3%
700823 1
2.3%
701835 1
2.3%
702712 1
2.3%
702832 1
2.3%
702837 1
2.3%
702845 1
2.3%
704721 1
2.3%
704904 1
2.3%
705035 1
2.3%
ValueCountFrequency (%)
706852 1
2.3%
706806 1
2.3%
706803 1
2.3%
706721 1
2.3%
705827 1
2.3%
705035 1
2.3%
704904 1
2.3%
704721 1
2.3%
702845 1
2.3%
702837 1
2.3%

소재지전체주소
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T02:04:21.845637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length23.25
Min length13

Characters and Unicode

Total characters1023
Distinct characters92
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

Unique42 ?
Unique (%)95.5%

Sample

1st row대구광역시 중구 대봉동 128-8번지
2nd row대구광역시 중구 봉산동 223-17번지
3rd row대구광역시 중구 서문로2가 83번지 갑을빌딩 2층
4th row대구광역시 중구 계산동2가 2-2 501호
5th row대구광역시 중구 계산동2가 2-2번지 정무빌딩
ValueCountFrequency (%)
대구광역시 44
22.7%
수성구 13
 
6.7%
북구 13
 
6.7%
산격동 9
 
4.6%
중구 5
 
2.6%
달서구 5
 
2.6%
동구 4
 
2.1%
남구 3
 
1.5%
범어동 3
 
1.5%
황금동 2
 
1.0%
Other values (85) 93
47.9%
2024-04-21T02:04:23.216461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
18.6%
구 88
 
8.6%
대 50
 
4.9%
동 46
 
4.5%
시 45
 
4.4%
광 44
 
4.3%
역 44
 
4.3%
지 43
 
4.2%
1 43
 
4.2%
번 40
 
3.9%
Other values (82) 390
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
58.6%
Decimal Number 200
 
19.6%
Space Separator 190
 
18.6%
Dash Punctuation 32
 
3.1%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 88
14.7%
대 50
 
8.3%
동 46
 
7.7%
시 45
 
7.5%
광 44
 
7.3%
역 44
 
7.3%
지 43
 
7.2%
번 40
 
6.7%
산 17
 
2.8%
성 16
 
2.7%
Other values (68) 166
27.7%
Decimal Number
ValueCountFrequency (%)
1 43
21.5%
2 27
13.5%
0 22
11.0%
3 21
10.5%
5 19
9.5%
6 16
 
8.0%
8 14
 
7.0%
7 14
 
7.0%
4 12
 
6.0%
9 12
 
6.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 599
58.6%
Common 423
41.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 88
14.7%
대 50
 
8.3%
동 46
 
7.7%
시 45
 
7.5%
광 44
 
7.3%
역 44
 
7.3%
지 43
 
7.2%
번 40
 
6.7%
산 17
 
2.8%
성 16
 
2.7%
Other values (68) 166
27.7%
Common
ValueCountFrequency (%)
190
44.9%
1 43
 
10.2%
- 32
 
7.6%
2 27
 
6.4%
0 22
 
5.2%
3 21
 
5.0%
5 19
 
4.5%
6 16
 
3.8%
8 14
 
3.3%
7 14
 
3.3%
Other values (3) 25
 
5.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
58.6%
ASCII 424
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
44.8%
1 43
 
10.1%
- 32
 
7.5%
2 27
 
6.4%
0 22
 
5.2%
3 21
 
5.0%
5 19
 
4.5%
6 16
 
3.8%
8 14
 
3.3%
7 14
 
3.3%
Other values (4) 26
 
6.1%
Hangul
ValueCountFrequency (%)
구 88
14.7%
대 50
 
8.3%
동 46
 
7.7%
시 45
 
7.5%
광 44
 
7.3%
역 44
 
7.3%
지 43
 
7.2%
번 40
 
6.7%
산 17
 
2.8%
성 16
 
2.7%
Other values (68) 166
27.7%

도로명전체주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T02:04:24.414801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34.5
Mean length29.386364
Min length22

Characters and Unicode

Total characters1293
Distinct characters131
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

Unique44 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 대봉로 200 (대봉동)
2nd row대구광역시 중구 봉산문화길 38 (봉산동)
3rd row대구광역시 중구 국채보상로 515, 2층 (서문로2가, 갑을빌딩 )
4th row대구광역시 중구 서성로 26, 501호 (계산동2가, 정무빌딩)
5th row대구광역시 중구 서성로 26, 정무빌딩 5층 (계산동2가)
ValueCountFrequency (%)
대구광역시 44
 
16.8%
수성구 13
 
5.0%
북구 13
 
5.0%
산격동 9
 
3.4%
동대구로 5
 
1.9%
중구 5
 
1.9%
달서구 5
 
1.9%
2층 4
 
1.5%
동구 4
 
1.5%
8층 3
 
1.1%
Other values (134) 157
59.9%
2024-04-21T02:04:26.086762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
16.9%
구 95
 
7.3%
대 58
 
4.5%
동 56
 
4.3%
시 46
 
3.6%
광 45
 
3.5%
( 45
 
3.5%
) 45
 
3.5%
역 44
 
3.4%
로 43
 
3.3%
Other values (121) 597
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
57.5%
Space Separator 219
 
16.9%
Decimal Number 194
 
15.0%
Open Punctuation 45
 
3.5%
Close Punctuation 45
 
3.5%
Other Punctuation 34
 
2.6%
Uppercase Letter 7
 
0.5%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 95
 
12.8%
대 58
 
7.8%
동 56
 
7.5%
시 46
 
6.2%
광 45
 
6.1%
역 44
 
5.9%
로 43
 
5.8%
산 20
 
2.7%
길 19
 
2.6%
성 19
 
2.6%
Other values (102) 298
40.1%
Decimal Number
ValueCountFrequency (%)
1 40
20.6%
2 31
16.0%
3 27
13.9%
0 21
10.8%
7 17
8.8%
5 16
 
8.2%
8 14
 
7.2%
6 12
 
6.2%
4 11
 
5.7%
9 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
C 2
28.6%
T 2
28.6%
A 1
14.3%
Space Separator
ValueCountFrequency (%)
219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
57.5%
Common 543
42.0%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 95
 
12.8%
대 58
 
7.8%
동 56
 
7.5%
시 46
 
6.2%
광 45
 
6.1%
역 44
 
5.9%
로 43
 
5.8%
산 20
 
2.7%
길 19
 
2.6%
성 19
 
2.6%
Other values (102) 298
40.1%
Common
ValueCountFrequency (%)
219
40.3%
( 45
 
8.3%
) 45
 
8.3%
1 40
 
7.4%
, 34
 
6.3%
2 31
 
5.7%
3 27
 
5.0%
0 21
 
3.9%
7 17
 
3.1%
5 16
 
2.9%
Other values (5) 48
 
8.8%
Latin
ValueCountFrequency (%)
B 2
28.6%
C 2
28.6%
T 2
28.6%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
57.5%
ASCII 550
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
39.8%
( 45
 
8.2%
) 45
 
8.2%
1 40
 
7.3%
, 34
 
6.2%
2 31
 
5.6%
3 27
 
4.9%
0 21
 
3.8%
7 17
 
3.1%
5 16
 
2.9%
Other values (9) 55
 
10.0%
Hangul
ValueCountFrequency (%)
구 95
 
12.8%
대 58
 
7.8%
동 56
 
7.5%
시 46
 
6.2%
광 45
 
6.1%
역 44
 
5.9%
로 43
 
5.8%
산 20
 
2.7%
길 19
 
2.6%
성 19
 
2.6%
Other values (102) 298
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)90.5%
Missing2
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean89231.524
Minimum41068
Maximum704904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:26.314054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41068
5-th percentile41267
Q141516.75
median42014.5
Q342241.25
95-th percentile669841.85
Maximum704904
Range663836
Interquartile range (IQR)724.5

Descriptive statistics

Standard deviation172616.88
Coefficient of variation (CV)1.9344831
Kurtosis10.415739
Mean89231.524
Median Absolute Deviation (MAD)441
Skewness3.4527325
Sum3747724
Variance2.9796587 × 1010
MonotonicityNot monotonic
2024-04-21T02:04:26.536031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
41515 2
 
4.5%
41933 2
 
4.5%
42175 2
 
4.5%
41516 2
 
4.5%
42052 1
 
2.3%
42009 1
 
2.3%
42159 1
 
2.3%
42020 1
 
2.3%
42026 1
 
2.3%
42185 1
 
2.3%
Other values (28) 28
63.6%
(Missing) 2
 
4.5%
ValueCountFrequency (%)
41068 1
2.3%
41175 1
2.3%
41256 1
2.3%
41476 1
2.3%
41503 1
2.3%
41506 1
2.3%
41513 1
2.3%
41515 2
4.5%
41516 2
4.5%
41519 1
2.3%
ValueCountFrequency (%)
704904 1
2.3%
704721 1
2.3%
702837 1
2.3%
42934 1
2.3%
42739 1
2.3%
42672 1
2.3%
42650 1
2.3%
42444 1
2.3%
42431 1
2.3%
42415 1
2.3%

사업장명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T02:04:27.235205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length9
Min length3

Characters and Unicode

Total characters396
Distinct characters128
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

Unique44 ?
Unique (%)100.0%

Sample

1st row(주)코리아 커뮤니케이션즈
2nd row주식회사 소스
3rd row(주)삼성여행사
4th row마이스코(주)
5th row여행스케치주식회사
ValueCountFrequency (%)
주식회사 6
 
10.5%
주)코리아 1
 
1.8%
중국문화원 1
 
1.8%
주)티비씨 1
 
1.8%
주)이끌림디자인 1
 
1.8%
주)유니온커뮤니케이션 1
 
1.8%
주)덱스코 1
 
1.8%
더파워 1
 
1.8%
주)봄커뮤니케이션즈 1
 
1.8%
주)휴먼아이엠씨 1
 
1.8%
Other values (42) 42
73.7%
2024-04-21T02:04:28.244757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
8.8%
( 29
 
7.3%
) 29
 
7.3%
이 18
 
4.5%
스 13
 
3.3%
13
 
3.3%
사 9
 
2.3%
회 8
 
2.0%
케 7
 
1.8%
션 7
 
1.8%
Other values (118) 228
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
79.3%
Open Punctuation 29
 
7.3%
Close Punctuation 29
 
7.3%
Space Separator 13
 
3.3%
Lowercase Letter 8
 
2.0%
Uppercase Letter 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
11.1%
이 18
 
5.7%
스 13
 
4.1%
사 9
 
2.9%
회 8
 
2.5%
케 7
 
2.2%
션 7
 
2.2%
식 7
 
2.2%
코 7
 
2.2%
아 7
 
2.2%
Other values (105) 196
62.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
n 1
12.5%
i 1
12.5%
t 1
12.5%
s 1
12.5%
l 1
12.5%
u 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
M 1
33.3%
T 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
79.3%
Common 71
 
17.9%
Latin 11
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
11.1%
이 18
 
5.7%
스 13
 
4.1%
사 9
 
2.9%
회 8
 
2.5%
케 7
 
2.2%
션 7
 
2.2%
식 7
 
2.2%
코 7
 
2.2%
아 7
 
2.2%
Other values (105) 196
62.4%
Latin
ValueCountFrequency (%)
o 2
18.2%
n 1
9.1%
i 1
9.1%
t 1
9.1%
I 1
9.1%
M 1
9.1%
T 1
9.1%
s 1
9.1%
l 1
9.1%
u 1
9.1%
Common
ValueCountFrequency (%)
( 29
40.8%
) 29
40.8%
13
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
79.3%
ASCII 82
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
11.1%
이 18
 
5.7%
스 13
 
4.1%
사 9
 
2.9%
회 8
 
2.5%
케 7
 
2.2%
션 7
 
2.2%
식 7
 
2.2%
코 7
 
2.2%
아 7
 
2.2%
Other values (105) 196
62.4%
ASCII
ValueCountFrequency (%)
( 29
35.4%
) 29
35.4%
13
15.9%
o 2
 
2.4%
n 1
 
1.2%
i 1
 
1.2%
t 1
 
1.2%
I 1
 
1.2%
M 1
 
1.2%
T 1
 
1.2%
Other values (3) 3
 
3.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016824 × 1013
Minimum2.0110712 × 1013
Maximum2.0200629 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:28.528806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110712 × 1013
5-th percentile2.0120203 × 1013
Q12.0148228 × 1013
median2.0171063 × 1013
Q32.0190257 × 1013
95-th percentile2.0200406 × 1013
Maximum2.0200629 × 1013
Range8.991694 × 1010
Interquartile range (IQR)4.2029718 × 1010

Descriptive statistics

Standard deviation2.7336621 × 1010
Coefficient of variation (CV)0.0013554292
Kurtosis-0.68625227
Mean2.016824 × 1013
Median Absolute Deviation (MAD)1.9394974 × 1010
Skewness-0.70688426
Sum8.8740258 × 1014
Variance7.4729086 × 1020
MonotonicityNot monotonic
2024-04-21T02:04:28.906093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20111206170525 1
 
2.3%
20181011155752 1
 
2.3%
20171016133440 1
 
2.3%
20110712161742 1
 
2.3%
20120112142337 1
 
2.3%
20200218175312 1
 
2.3%
20170217153401 1
 
2.3%
20170223112227 1
 
2.3%
20170227115529 1
 
2.3%
20170622173348 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
20110712161742 1
2.3%
20111206170525 1
2.3%
20120112142337 1
2.3%
20120717094126 1
2.3%
20130107113018 1
2.3%
20130227153024 1
2.3%
20130417112817 1
2.3%
20130516101208 1
2.3%
20130516101311 1
2.3%
20140122180621 1
2.3%
ValueCountFrequency (%)
20200629101649 1
2.3%
20200601085815 1
2.3%
20200424090705 1
2.3%
20200305112528 1
2.3%
20200218175312 1
2.3%
20200212133051 1
2.3%
20200114170327 1
2.3%
20191122084706 1
2.3%
20191023153022 1
2.3%
20190510092055 1
2.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
I
33 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 33
75.0%
U 11
 
25.0%

Length

2024-04-21T02:04:29.317344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:29.587019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
75.0%
u 11
 
25.0%

데이터갱신일자
Categorical

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size480.0 B
2018-08-31 23:59:59.0
26 
2019-01-17 02:40:00.0
 
2
2019-02-10 02:21:33.0
 
1
2020-03-07 00:23:22.0
 
1
2019-05-12 02:40:00.0
 
1
Other values (13)
13 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique16 ?
Unique (%)36.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 26
59.1%
2019-01-17 02:40:00.0 2
 
4.5%
2019-02-10 02:21:33.0 1
 
2.3%
2020-03-07 00:23:22.0 1
 
2.3%
2019-05-12 02:40:00.0 1
 
2.3%
2019-10-25 02:40:00.0 1
 
2.3%
2018-12-22 02:40:00.0 1
 
2.3%
2018-12-21 02:40:00.0 1
 
2.3%
2020-07-01 02:40:00.0 1
 
2.3%
2018-12-06 02:20:08.0 1
 
2.3%
Other values (8) 8
 
18.2%

Length

2024-04-21T02:04:29.764677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 27
30.7%
2018-08-31 26
29.5%
02:40:00.0 10
 
11.4%
2019-01-17 2
 
2.3%
2020-06-04 1
 
1.1%
2019-04-07 1
 
1.1%
2018-10-11 1
 
1.1%
00:23:21.0 1
 
1.1%
2019-11-23 1
 
1.1%
00:23:36.0 1
 
1.1%
Other values (17) 17
19.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

좌표정보(X)
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345366.05
Minimum339053
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:29.977807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339053
5-th percentile339927.73
Q1344236.29
median345594.58
Q3346597.6
95-th percentile348573.86
Maximum355883.11
Range16830.112
Interquartile range (IQR)2361.3077

Descriptive statistics

Standard deviation2973.6399
Coefficient of variation (CV)0.0086101106
Kurtosis3.3542194
Mean345366.05
Median Absolute Deviation (MAD)1195.3349
Skewness0.53289218
Sum15196106
Variance8842534.3
MonotonicityNot monotonic
2024-04-21T02:04:30.365355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
345000.804589 2
 
4.5%
345549.11017 2
 
4.5%
343296.850164 2
 
4.5%
348692.554348 1
 
2.3%
346162.170101 1
 
2.3%
346572.515153 1
 
2.3%
345475.714933 1
 
2.3%
346542.457896 1
 
2.3%
346937.193628 1
 
2.3%
347263.37704 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
339053.001861 1
2.3%
339360.500539 1
2.3%
339919.179033 1
2.3%
339976.179739 1
2.3%
340608.886881 1
2.3%
343251.365403 1
2.3%
343296.850164 2
4.5%
343311.646415 1
2.3%
344091.950606 1
2.3%
344143.734627 1
2.3%
ValueCountFrequency (%)
355883.113907 1
2.3%
351613.237983 1
2.3%
348692.554348 1
2.3%
347901.256109 1
2.3%
347793.029493 1
2.3%
347488.957344 1
2.3%
347263.37704 1
2.3%
347040.089647 1
2.3%
346937.193628 1
2.3%
346737.682582 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264181.09
Minimum257081.63
Maximum270113.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:30.769989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257081.63
5-th percentile260098.74
Q1261853.7
median263990.8
Q3267072.97
95-th percentile268894.32
Maximum270113.96
Range13032.339
Interquartile range (IQR)5219.266

Descriptive statistics

Standard deviation3235.6074
Coefficient of variation (CV)0.012247687
Kurtosis-0.8213154
Mean264181.09
Median Absolute Deviation (MAD)2464.2924
Skewness0.081231967
Sum11623968
Variance10469155
MonotonicityNot monotonic
2024-04-21T02:04:31.208047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
268051.856327 2
 
4.5%
268620.845678 2
 
4.5%
264344.275581 2
 
4.5%
263928.13449 1
 
2.3%
263970.660155 1
 
2.3%
260357.649369 1
 
2.3%
260620.431024 1
 
2.3%
260361.799669 1
 
2.3%
264010.939901 1
 
2.3%
263422.893538 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
257081.626055 1
2.3%
258927.474942 1
2.3%
260077.997956 1
2.3%
260216.27307 1
2.3%
260357.649369 1
2.3%
260361.799669 1
2.3%
260479.646796 1
2.3%
260620.431024 1
2.3%
261289.605726 1
2.3%
261504.141111 1
2.3%
ValueCountFrequency (%)
270113.964907 1
2.3%
268936.656893 1
2.3%
268913.13745 1
2.3%
268787.708169 1
2.3%
268773.105736 1
2.3%
268730.019954 1
2.3%
268620.845678 2
4.5%
268051.856327 2
4.5%
267328.860007 1
2.3%
266987.666828 1
2.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
국제회의기획업
44 

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 44
100.0%

Length

2024-04-21T02:04:31.605575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:31.908188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 44
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
36 
관광사업
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
81.8%
관광사업 8
 
18.2%

Length

2024-04-21T02:04:32.227484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:32.534583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
관광사업 8
 
18.2%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing41
Missing (%)93.2%
Memory size480.0 B
2024-04-21T02:04:32.999391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters16
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row전용주거지역
2nd row상업지역
3rd row일반주거지역
ValueCountFrequency (%)
전용주거지역 1
33.3%
상업지역 1
33.3%
일반주거지역 1
33.3%
2024-04-21T02:04:33.931332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
18.8%
역 3
18.8%
주 2
12.5%
거 2
12.5%
전 1
 
6.2%
용 1
 
6.2%
상 1
 
6.2%
업 1
 
6.2%
일 1
 
6.2%
반 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
18.8%
역 3
18.8%
주 2
12.5%
거 2
12.5%
전 1
 
6.2%
용 1
 
6.2%
상 1
 
6.2%
업 1
 
6.2%
일 1
 
6.2%
반 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
18.8%
역 3
18.8%
주 2
12.5%
거 2
12.5%
전 1
 
6.2%
용 1
 
6.2%
상 1
 
6.2%
업 1
 
6.2%
일 1
 
6.2%
반 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
18.8%
역 3
18.8%
주 2
12.5%
거 2
12.5%
전 1
 
6.2%
용 1
 
6.2%
상 1
 
6.2%
업 1
 
6.2%
일 1
 
6.2%
반 1
 
6.2%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
40 
2
 
3
13
 
1

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
90.9%
2 3
 
6.8%
13 1
 
2.3%

Length

2024-04-21T02:04:34.148855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:34.336591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
90.9%
2 3
 
6.8%
13 1
 
2.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing42
Missing (%)95.5%
Memory size480.0 B
2024-04-21T02:04:34.512719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-04-21T02:04:34.898851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

건물용도명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing38
Missing (%)86.4%
Memory size480.0 B
2024-04-21T02:04:35.294276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4
Min length2

Characters and Unicode

Total characters24
Distinct characters16
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

Unique4 ?
Unique (%)66.7%

Sample

1st row문화시설
2nd row문화시설
3rd row창고
4th row교육연구시설
5th row근린생활시설
ValueCountFrequency (%)
문화시설 2
33.3%
창고 1
16.7%
교육연구시설 1
16.7%
근린생활시설 1
16.7%
기타 1
16.7%
2024-04-21T02:04:35.936324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4
16.7%
설 4
16.7%
문 2
 
8.3%
화 2
 
8.3%
창 1
 
4.2%
고 1
 
4.2%
교 1
 
4.2%
육 1
 
4.2%
연 1
 
4.2%
구 1
 
4.2%
Other values (6) 6
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4
16.7%
설 4
16.7%
문 2
 
8.3%
화 2
 
8.3%
창 1
 
4.2%
고 1
 
4.2%
교 1
 
4.2%
육 1
 
4.2%
연 1
 
4.2%
구 1
 
4.2%
Other values (6) 6
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4
16.7%
설 4
16.7%
문 2
 
8.3%
화 2
 
8.3%
창 1
 
4.2%
고 1
 
4.2%
교 1
 
4.2%
육 1
 
4.2%
연 1
 
4.2%
구 1
 
4.2%
Other values (6) 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4
16.7%
설 4
16.7%
문 2
 
8.3%
화 2
 
8.3%
창 1
 
4.2%
고 1
 
4.2%
교 1
 
4.2%
육 1
 
4.2%
연 1
 
4.2%
구 1
 
4.2%
Other values (6) 6
25.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
5
 
2
2
 
1
12
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.6136364
Min length1

Unique

Unique4 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
86.4%
5 2
 
4.5%
2 1
 
2.3%
12 1
 
2.3%
1 1
 
2.3%
3 1
 
2.3%

Length

2024-04-21T02:04:36.160988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:36.600977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
5 2
 
4.5%
2 1
 
2.3%
12 1
 
2.3%
1 1
 
2.3%
3 1
 
2.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
41 
4
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.7954545
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
93.2%
4 2
 
4.5%
1 1
 
2.3%

Length

2024-04-21T02:04:36.985113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:04:37.311600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
93.2%
4 2
 
4.5%
1 1
 
2.3%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

영문상호명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing33
Missing (%)75.0%
Memory size480.0 B
2024-04-21T02:04:37.832906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.909091
Min length12

Characters and Unicode

Total characters219
Distinct characters40
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

Unique11 ?
Unique (%)100.0%

Sample

1st rowSAMSUNG TOUR CO.,LTD
2nd rowMICECO CO.,LTD
3rd rowYale Communications Co.Ltd
4th rowYouth Communications
5th rowEXCO Co.,Ltd
ValueCountFrequency (%)
co.,ltd 6
22.2%
co.ltd 3
 
11.1%
communications 2
 
7.4%
exhibition 2
 
7.4%
samsung 1
 
3.7%
red 1
 
3.7%
munhwabank 1
 
3.7%
culture 1
 
3.7%
im 1
 
3.7%
excopia 1
 
3.7%
Other values (8) 8
29.6%
2024-04-21T02:04:38.846468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 17
 
7.8%
16
 
7.3%
o 13
 
5.9%
O 11
 
5.0%
n 11
 
5.0%
L 11
 
5.0%
i 10
 
4.6%
T 10
 
4.6%
. 10
 
4.6%
I 9
 
4.1%
Other values (30) 101
46.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 105
47.9%
Lowercase Letter 82
37.4%
Space Separator 16
 
7.3%
Other Punctuation 16
 
7.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 17
16.2%
O 11
10.5%
L 11
10.5%
T 10
9.5%
I 9
8.6%
E 8
 
7.6%
D 6
 
5.7%
N 5
 
4.8%
R 4
 
3.8%
A 4
 
3.8%
Other values (9) 20
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 13
15.9%
n 11
13.4%
i 10
12.2%
t 9
11.0%
m 6
7.3%
a 6
7.3%
d 5
 
6.1%
u 5
 
6.1%
c 3
 
3.7%
h 3
 
3.7%
Other values (8) 11
13.4%
Other Punctuation
ValueCountFrequency (%)
. 10
62.5%
, 6
37.5%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 187
85.4%
Common 32
 
14.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 17
 
9.1%
o 13
 
7.0%
O 11
 
5.9%
n 11
 
5.9%
L 11
 
5.9%
i 10
 
5.3%
T 10
 
5.3%
I 9
 
4.8%
t 9
 
4.8%
E 8
 
4.3%
Other values (27) 78
41.7%
Common
ValueCountFrequency (%)
16
50.0%
. 10
31.2%
, 6
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 17
 
7.8%
16
 
7.3%
o 13
 
5.9%
O 11
 
5.0%
n 11
 
5.0%
L 11
 
5.0%
i 10
 
4.6%
T 10
 
4.6%
. 10
 
4.6%
I 9
 
4.1%
Other values (30) 101
46.1%

영문상호주소
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing34
Missing (%)77.3%
Memory size480.0 B
2024-04-21T02:04:39.426545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length38
Mean length35.9
Min length32

Characters and Unicode

Total characters359
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)40.0%

Sample

1st rowProfessional Congress Organizers
2nd rowProfessional Conference Organizer
3rd rowInternational conference planning
4th rowPCO(professional convention organizer)
5th rowPCO(professional convention organizer)
ValueCountFrequency (%)
convention 7
23.3%
organizer 7
23.3%
pco(professional 6
20.0%
professional 2
 
6.7%
conference 2
 
6.7%
international 2
 
6.7%
congress 1
 
3.3%
organizers 1
 
3.3%
planning 1
 
3.3%
business 1
 
3.3%
2024-04-21T02:04:40.414973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 52
14.5%
o 41
11.4%
e 33
 
9.2%
r 29
 
8.1%
i 27
 
7.5%
s 22
 
6.1%
a 21
 
5.8%
20
 
5.6%
t 11
 
3.1%
l 11
 
3.1%
Other values (14) 92
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 300
83.6%
Uppercase Letter 27
 
7.5%
Space Separator 20
 
5.6%
Open Punctuation 6
 
1.7%
Close Punctuation 6
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 52
17.3%
o 41
13.7%
e 33
11.0%
r 29
9.7%
i 27
9.0%
s 22
7.3%
a 21
7.0%
t 11
 
3.7%
l 11
 
3.7%
g 10
 
3.3%
Other values (7) 43
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 9
33.3%
P 8
29.6%
O 8
29.6%
I 2
 
7.4%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 327
91.1%
Common 32
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 52
15.9%
o 41
12.5%
e 33
10.1%
r 29
8.9%
i 27
 
8.3%
s 22
 
6.7%
a 21
 
6.4%
t 11
 
3.4%
l 11
 
3.4%
g 10
 
3.1%
Other values (11) 70
21.4%
Common
ValueCountFrequency (%)
20
62.5%
( 6
 
18.8%
) 6
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 52
14.5%
o 41
11.4%
e 33
 
9.2%
r 29
 
8.1%
i 27
 
7.5%
s 22
 
6.1%
a 21
 
5.8%
20
 
5.6%
t 11
 
3.1%
l 11
 
3.1%
Other values (14) 92
25.6%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing33
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean195.66909
Minimum45
Maximum560.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:40.769372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile53.885
Q185.29
median125.4
Q3266.015
95-th percentile449.83
Maximum560.66
Range515.66
Interquartile range (IQR)180.725

Descriptive statistics

Standard deviation157.08118
Coefficient of variation (CV)0.80278997
Kurtosis1.739642
Mean195.66909
Median Absolute Deviation (MAD)80.4
Skewness1.3783329
Sum2152.36
Variance24674.498
MonotonicityNot monotonic
2024-04-21T02:04:41.120883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
216.0 1
 
2.3%
210.0 1
 
2.3%
72.39 1
 
2.3%
62.77 1
 
2.3%
560.66 1
 
2.3%
125.4 1
 
2.3%
339.0 1
 
2.3%
106.92 1
 
2.3%
316.03 1
 
2.3%
98.19 1
 
2.3%
(Missing) 33
75.0%
ValueCountFrequency (%)
45.0 1
2.3%
62.77 1
2.3%
72.39 1
2.3%
98.19 1
2.3%
106.92 1
2.3%
125.4 1
2.3%
210.0 1
2.3%
216.0 1
2.3%
316.03 1
2.3%
339.0 1
2.3%
ValueCountFrequency (%)
560.66 1
2.3%
339.0 1
2.3%
316.03 1
2.3%
216.0 1
2.3%
210.0 1
2.3%
125.4 1
2.3%
106.92 1
2.3%
98.19 1
2.3%
72.39 1
2.3%
62.77 1
2.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

자본금
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)46.9%
Missing12
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean1.5074299 × 108
Minimum50000000
Maximum1 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:41.463650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile50000000
Q150000000
median55072786
Q32 × 108
95-th percentile4.77 × 108
Maximum1 × 109
Range9.5 × 108
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation1.9491532 × 108
Coefficient of variation (CV)1.2930308
Kurtosis11.557832
Mean1.5074299 × 108
Median Absolute Deviation (MAD)5072785.5
Skewness3.1442439
Sum4.8237756 × 109
Variance3.7991982 × 1016
MonotonicityNot monotonic
2024-04-21T02:04:41.822331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
50000000 15
34.1%
100000000 3
 
6.8%
200000000 2
 
4.5%
120000000 1
 
2.3%
350000000 1
 
2.3%
100017203 1
 
2.3%
208594780 1
 
2.3%
210000000 1
 
2.3%
510000000 1
 
2.3%
109605537 1
 
2.3%
Other values (5) 5
 
11.4%
(Missing) 12
27.3%
ValueCountFrequency (%)
50000000 15
34.1%
52536296 1
 
2.3%
57609275 1
 
2.3%
100000000 3
 
6.8%
100017203 1
 
2.3%
109605537 1
 
2.3%
120000000 1
 
2.3%
200000000 2
 
4.5%
205412500 1
 
2.3%
208594780 1
 
2.3%
ValueCountFrequency (%)
1000000000 1
2.3%
510000000 1
2.3%
450000000 1
2.3%
350000000 1
2.3%
210000000 1
2.3%
208594780 1
2.3%
205412500 1
2.3%
200000000 2
4.5%
120000000 1
2.3%
109605537 1
2.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing33
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean195.63636
Minimum45
Maximum561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T02:04:42.153789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile54
Q185
median125
Q3266
95-th percentile450
Maximum561
Range516
Interquartile range (IQR)181

Descriptive statistics

Standard deviation157.19432
Coefficient of variation (CV)0.80350257
Kurtosis1.7447481
Mean195.63636
Median Absolute Deviation (MAD)80
Skewness1.3798836
Sum2152
Variance24710.055
MonotonicityNot monotonic
2024-04-21T02:04:42.501208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
216 1
 
2.3%
210 1
 
2.3%
72 1
 
2.3%
63 1
 
2.3%
561 1
 
2.3%
125 1
 
2.3%
339 1
 
2.3%
107 1
 
2.3%
316 1
 
2.3%
98 1
 
2.3%
(Missing) 33
75.0%
ValueCountFrequency (%)
45 1
2.3%
63 1
2.3%
72 1
2.3%
98 1
2.3%
107 1
2.3%
125 1
2.3%
210 1
2.3%
216 1
2.3%
316 1
2.3%
339 1
2.3%
ValueCountFrequency (%)
561 1
2.3%
339 1
2.3%
316 1
2.3%
216 1
2.3%
210 1
2.3%
125 1
2.3%
107 1
2.3%
98 1
2.3%
72 1
2.3%
63 1
2.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국제회의기획업03_08_01_P3410000CDFI226310200500000120051116<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-4312<NA>700811대구광역시 중구 대봉동 128-8번지대구광역시 중구 대봉로 200 (대봉동)41954(주)코리아 커뮤니케이션즈20111206170525I2018-08-31 23:59:59.0<NA>344683.360059263011.525066국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>120000000<NA><NA><NA><NA>
12국제회의기획업03_08_01_P3410000CDFI226310200800000120080527<NA>1영업/정상13영업중<NA><NA><NA><NA>255-9502<NA>700823대구광역시 중구 봉산동 223-17번지대구광역시 중구 봉산문화길 38 (봉산동)41959주식회사 소스20130107113018I2018-08-31 23:59:59.0<NA>344267.144913263580.164271국제회의기획업관광사업<NA><NA><NA><NA><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>
23국제회의기획업03_08_01_P3410000CDFI226310201400000120141218<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-3000<NA><NA>대구광역시 중구 서문로2가 83번지 갑을빌딩 2층대구광역시 중구 국채보상로 515, 2층 (서문로2가, 갑을빌딩 )41921(주)삼성여행사20171109111709I2018-08-31 23:59:59.0<NA>343251.365403264520.837975국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>SAMSUNG TOUR CO.,LTD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA><NA>
34국제회의기획업03_08_01_P3410000CDFI226310201500000120150702<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-1400<NA><NA>대구광역시 중구 계산동2가 2-2 501호대구광역시 중구 서성로 26, 501호 (계산동2가, 정무빌딩)41933마이스코(주)20160128095625I2018-08-31 23:59:59.0<NA>343296.850164264344.275581국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>MICECO CO.,LTDProfessional Congress Organizers<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
45국제회의기획업03_08_01_P3410000CDFI226310201800000120180323<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동2가 2-2번지 정무빌딩대구광역시 중구 서성로 26, 정무빌딩 5층 (계산동2가)41933여행스케치주식회사20180323141056I2018-08-31 23:59:59.0<NA>343296.850164264344.275581국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
56국제회의기획업03_08_01_P3420000CDFI226310200800000120081229<NA>3폐업3폐업20150703<NA><NA><NA>985-9559<NA>701835대구광역시 동구 용계동 515-2번지대구광역시 동구 화랑로 509 (용계동)<NA>(주)뉴스디자인20150703160654I2018-08-31 23:59:59.0<NA>351613.237983265229.583705국제회의기획업관광사업<NA><NA><NA><NA><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>
67국제회의기획업03_08_01_P3420000CDFI226310201400000120140220<NA>1영업/정상13영업중<NA><NA><NA><NA>053-743-2080<NA><NA>대구광역시 동구 효목동 194-49대구광역시 동구 화랑로37길 25-4 (효목동)41175(주)예일커뮤니케이션즈20200629101649U2020-07-01 02:40:00.0<NA>347901.256109265440.288607국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Yale Communications Co.LtdProfessional Conference Organizer<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78국제회의기획업03_08_01_P3420000CDFI226310201900000120190208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 95번지대구광역시 동구 동대구로 475, 8층 (신천동)41256주식회사 제이비스퀘어20190208145024I2019-02-10 02:21:33.0<NA>346672.854539264843.003409국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89국제회의기획업03_08_01_P3420000CDFI226310202000000120200305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신서동 1160-1번지대구광역시 동구 이노밸리로56길 3-2 (신서동)41068청년기획20200305112528I2020-03-07 00:23:22.0<NA>355883.113907265573.41712국제회의기획업<NA>전용주거지역<NA><NA><NA><NA><NA><NA><NA><NA><NA>Youth CommunicationsInternational conference planning<NA><NA><NA><NA><NA><NA><NA>216.0<NA><NA><NA><NA><NA><NA><NA><NA>100017203<NA><NA><NA>216
910국제회의기획업03_08_01_P3440000CDFI226310201400000120140306<NA>3폐업3폐업20190508<NA><NA><NA>475-1177<NA>705827대구광역시 남구 봉덕동대구광역시 남구 대덕로35길 5-1 (봉덕동)42444주식회사 에스 앤 디20190510092055U2019-05-12 02:40:00.0<NA>344569.13829261289.605726국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>208594780<NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
3435국제회의기획업03_08_01_P3460000CDFI226310201500000120100715<NA>1영업/정상13영업중<NA><NA><NA><NA>053-384-7244<NA><NA>대구광역시 수성구 범어동 164-3번지대구광역시 수성구 달구벌대로489길 17 (범어동)42026(주)문화뱅크20200424090705U2020-04-26 02:40:00.0<NA>347263.37704263422.893538국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Munhwabank CO.,LTD.PCO(professional convention organizer)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
3536국제회의기획업03_08_01_P3460000CDFI226310201600000120160217<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-4765<NA><NA>대구광역시 수성구 지산동 1006-3번지대구광역시 수성구 무학로27길 52-10, 2층층 (지산동)42185(주)위드커뮤니케이션즈20190115100605U2019-01-17 02:40:00.0<NA>347040.089647260216.27307국제회의기획업<NA><NA><NA><NA><NA><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>
3637국제회의기획업03_08_01_P3460000CDFI226310201600000220160225<NA>1영업/정상13영업중<NA><NA><NA><NA>053-474-2300<NA><NA>대구광역시 수성구 시지동 587-2번지대구광역시 수성구 알파시티2로 37 (시지동)42251더블유관광협동조합20200212133051U2020-02-14 02:40:00.0<NA>346347.445225261955.307514국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>450000000<NA><NA><NA><NA>
3738국제회의기획업03_08_01_P3460000CDFI226310202000000120200114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 1212-16번지대구광역시 수성구 용학로50길 27 (지산동)42212(주)다우플랫폼20200114170327I2020-01-16 00:23:36.0<NA>347793.029493258927.474942국제회의기획업<NA><NA><NA><NA><NA><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>
3839국제회의기획업03_08_01_P3470000CDFI226310200900000120060928<NA>3폐업3폐업20140122<NA><NA><NA>625-6123<NA>704721대구광역시 달서구 본동 831번지 대구공업대학 10호관 2,3 층대구광역시 달서구 구마로 146 (본동)704721(주)에덱스20140122180621I2018-08-31 23:59:59.0<NA>339360.500539260479.646796국제회의기획업관광사업<NA><NA><NA><NA><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>
3940국제회의기획업03_08_01_P3470000CDFI226310201900000220150925<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-3610<NA><NA>대구광역시 달서구 송현동 172-8번지대구광역시 달서구 송현동길 30 (송현동)42739(주)비아이이인터내셔널20191122084706I2019-11-23 00:23:21.0<NA>339919.179033260077.997956국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>BIEINTERNATIONAL CO.,LTDInternational Convention business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4041국제회의기획업03_08_01_P3470000CDFI226310201000000120100406<NA>1영업/정상13영업중<NA><NA><NA><NA>053-563-9600<NA>704904대구광역시 달서구 감삼동 315-5번지대구광역시 달서구 장기로36안길 28 (감삼동)704904(주)코드20130417112817I2018-08-31 23:59:59.0<NA>339053.001861261548.874118국제회의기획업<NA><NA><NA><NA><NA><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>
4142국제회의기획업03_08_01_P3470000CDFI226310201700000120170123<NA>1영업/정상13영업중<NA><NA><NA><NA>0537466407<NA><NA>대구광역시 달서구 두류동 588번지대구광역시 달서구 공원순환로 46 (두류동, 대구관광정보센터)42672특수법인 대구광역시관광협회20170123152617I2018-08-31 23:59:59.0<NA>340608.886881262318.248215국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>205412500<NA><NA><NA><NA>
4243국제회의기획업03_08_01_P3470000CDFI226310201900000120190405<NA>1영업/정상13영업중<NA><NA><NA><NA>053-625-3220<NA><NA>대구광역시 달서구 두류동 706-3번지대구광역시 달서구 당산로 176 (두류동)42650중국문화원 부설 의료관광사업단20190405102024I2019-04-07 02:20:15.0<NA>339976.179739262196.638868국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4344국제회의기획업03_08_01_P3480000CDFI226310201800000120180205<NA>1영업/정상13영업중<NA><NA><NA><NA>0537680430<NA><NA>대구광역시 달성군 가창면 용계리 12-9번지대구광역시 달성군 가창면 가창로 1110, 1층42934마루기획20180205125844I2018-08-31 23:59:59.0<NA>346570.538105257081.626055국제회의기획업<NA>일반주거지역<NA>기타<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45