Overview

Dataset statistics

Number of variables63
Number of observations49
Missing cells1281
Missing cells (%)41.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.3 KiB
Average record size in memory550.6 B

Variable types

Numeric11
Categorical22
Text10
Unsupported19
DateTime1

Dataset

Description22년06월_6270000_대구광역시_03_08_01_P_국제회의기획업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093856&dataSetDetailId=DDI_0000093889&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
보험기관명 has constant value ""Constant
폐업일자 is highly imbalanced (75.4%)Imbalance
총층수 is highly imbalanced (57.3%)Imbalance
지상층수 is highly imbalanced (55.0%)Imbalance
지하층수 is highly imbalanced (55.7%)Imbalance
객실수 is highly imbalanced (52.5%)Imbalance
건축연면적 is highly imbalanced (52.5%)Imbalance
선박총톤수 is highly imbalanced (52.5%)Imbalance
선박척수 is highly imbalanced (52.5%)Imbalance
무대면적 is highly imbalanced (52.5%)Imbalance
좌석수 is highly imbalanced (52.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (52.5%)Imbalance
놀이시설수 is highly imbalanced (52.5%)Imbalance
인허가취소일자 has 49 (100.0%) missing valuesMissing
휴업시작일자 has 49 (100.0%) missing valuesMissing
휴업종료일자 has 49 (100.0%) missing valuesMissing
재개업일자 has 49 (100.0%) missing valuesMissing
소재지전화 has 15 (30.6%) missing valuesMissing
소재지면적 has 49 (100.0%) missing valuesMissing
소재지우편번호 has 38 (77.6%) missing valuesMissing
도로명우편번호 has 2 (4.1%) missing valuesMissing
업태구분명 has 49 (100.0%) missing valuesMissing
좌표정보(X) has 3 (6.1%) missing valuesMissing
좌표정보(Y) has 3 (6.1%) missing valuesMissing
지역구분명 has 44 (89.8%) missing valuesMissing
주변환경명 has 46 (93.9%) missing valuesMissing
제작취급품목내용 has 49 (100.0%) missing valuesMissing
보험기관명 has 48 (98.0%) missing valuesMissing
건물용도명 has 42 (85.7%) missing valuesMissing
영문상호명 has 32 (65.3%) missing valuesMissing
선박제원 has 49 (100.0%) missing valuesMissing
기념품종류 has 49 (100.0%) missing valuesMissing
시설면적 has 32 (65.3%) missing valuesMissing
놀이기구수내역 has 49 (100.0%) missing valuesMissing
방송시설유무 has 49 (100.0%) missing valuesMissing
발전시설유무 has 49 (100.0%) missing valuesMissing
의무실유무 has 49 (100.0%) missing valuesMissing
안내소유무 has 49 (100.0%) missing valuesMissing
기획여행보험시작일자 has 49 (100.0%) missing valuesMissing
기획여행보험종료일자 has 49 (100.0%) missing valuesMissing
자본금 has 13 (26.5%) missing valuesMissing
보험시작일자 has 49 (100.0%) missing valuesMissing
보험종료일자 has 49 (100.0%) missing valuesMissing
부대시설내역 has 49 (100.0%) missing valuesMissing
시설규모 has 32 (65.3%) 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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 4 (8.2%) zerosZeros
자본금 has 1 (2.0%) zerosZeros
시설규모 has 4 (8.2%) zerosZeros

Reproduction

Analysis started2024-04-21 01:26:10.806626
Analysis finished2024-04-21 01:26:11.871691
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:12.065936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2024-04-21T10:26:12.503162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
국제회의기획업
49 

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 49
100.0%

Length

2024-04-21T10:26:12.907165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:13.187360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 49
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
03_08_01_P
49 

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 49
100.0%

Length

2024-04-21T10:26:13.483095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:13.766655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_08_01_p 49
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448979.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:14.029531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13450000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation19816.334
Coefficient of variation (CV)0.0057455642
Kurtosis-0.17106644
Mean3448979.6
Median Absolute Deviation (MAD)10000
Skewness-0.90782126
Sum1.69 × 108
Variance3.9268707 × 108
MonotonicityIncreasing
2024-04-21T10:26:14.393850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3460000 17
34.7%
3450000 13
26.5%
3410000 6
 
12.2%
3470000 5
 
10.2%
3420000 4
 
8.2%
3440000 2
 
4.1%
3480000 2
 
4.1%
ValueCountFrequency (%)
3410000 6
 
12.2%
3420000 4
 
8.2%
3440000 2
 
4.1%
3450000 13
26.5%
3460000 17
34.7%
3470000 5
 
10.2%
3480000 2
 
4.1%
ValueCountFrequency (%)
3480000 2
 
4.1%
3470000 5
 
10.2%
3460000 17
34.7%
3450000 13
26.5%
3440000 2
 
4.1%
3420000 4
 
8.2%
3410000 6
 
12.2%
Distinct25
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-04-21T10:26:15.108362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters980
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

Unique11 ?
Unique (%)22.4%

Sample

1st rowCDFI2263102005000001
2nd rowCDFI2263102008000001
3rd rowCDFI2263102014000001
4th rowCDFI2263102015000001
5th rowCDFI2263102018000001
ValueCountFrequency (%)
cdfi2263102014000001 5
 
10.2%
cdfi2263102020000001 4
 
8.2%
cdfi2263102017000001 3
 
6.1%
cdfi2263102015000001 3
 
6.1%
cdfi2263102018000001 3
 
6.1%
cdfi2263102021000001 3
 
6.1%
cdfi2263102016000001 3
 
6.1%
cdfi2263102012000001 2
 
4.1%
cdfi2263102005000001 2
 
4.1%
cdfi2263102017000002 2
 
4.1%
Other values (15) 19
38.8%
2024-04-21T10:26:16.222539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 358
36.5%
2 168
17.1%
1 124
 
12.7%
6 54
 
5.5%
3 51
 
5.2%
C 49
 
5.0%
D 49
 
5.0%
F 49
 
5.0%
I 49
 
5.0%
4 8
 
0.8%
Other values (4) 21
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 784
80.0%
Uppercase Letter 196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 358
45.7%
2 168
21.4%
1 124
 
15.8%
6 54
 
6.9%
3 51
 
6.5%
4 8
 
1.0%
7 7
 
0.9%
5 5
 
0.6%
8 5
 
0.6%
9 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 49
25.0%
D 49
25.0%
F 49
25.0%
I 49
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 784
80.0%
Latin 196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 358
45.7%
2 168
21.4%
1 124
 
15.8%
6 54
 
6.9%
3 51
 
6.5%
4 8
 
1.0%
7 7
 
0.9%
5 5
 
0.6%
8 5
 
0.6%
9 4
 
0.5%
Latin
ValueCountFrequency (%)
C 49
25.0%
D 49
25.0%
F 49
25.0%
I 49
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 358
36.5%
2 168
17.1%
1 124
 
12.7%
6 54
 
5.5%
3 51
 
5.2%
C 49
 
5.0%
D 49
 
5.0%
F 49
 
5.0%
I 49
 
5.0%
4 8
 
0.8%
Other values (4) 21
 
2.1%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20144616
Minimum20020822
Maximum20211126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:16.470460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020822
5-th percentile20050637
Q120100715
median20160217
Q320180323
95-th percentile20210123
Maximum20211126
Range190304
Interquartile range (IQR)79608

Descriptive statistics

Standard deviation50883.189
Coefficient of variation (CV)0.0025258953
Kurtosis-0.36838041
Mean20144616
Median Absolute Deviation (MAD)29991
Skewness-0.72431083
Sum9.8708617 × 108
Variance2.589099 × 109
MonotonicityNot monotonic
2024-04-21T10:26:16.730173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20051116 1
 
2.0%
20200821 1
 
2.0%
20120112 1
 
2.0%
20140717 1
 
2.0%
20170223 1
 
2.0%
20170622 1
 
2.0%
20141002 1
 
2.0%
20100715 1
 
2.0%
20160217 1
 
2.0%
20160225 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
20020822 1
2.0%
20041105 1
2.0%
20050317 1
2.0%
20051116 1
2.0%
20060303 1
2.0%
20060928 1
2.0%
20080527 1
2.0%
20081229 1
2.0%
20091026 1
2.0%
20100406 1
2.0%
ValueCountFrequency (%)
20211126 1
2.0%
20210803 1
2.0%
20210126 1
2.0%
20210119 1
2.0%
20201026 1
2.0%
20200821 1
2.0%
20200601 1
2.0%
20200305 1
2.0%
20200114 1
2.0%
20190405 1
2.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
1
43 
3

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 43
87.8%
3 6
 
12.2%

Length

2024-04-21T10:26:16.961732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:17.120705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
87.8%
3 6
 
12.2%

영업상태명
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
영업/정상
43 
폐업

Length

Max length5
Median length5
Mean length4.6326531
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 43
87.8%
폐업 6
 
12.2%

Length

2024-04-21T10:26:17.295523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:17.460014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
87.8%
폐업 6
 
12.2%
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
13
43 
3

Length

Max length2
Median length2
Mean length1.877551
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 43
87.8%
3 6
 
12.2%

Length

2024-04-21T10:26:17.632656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:17.792233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
87.8%
3 6
 
12.2%
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
영업중
43 
폐업

Length

Max length3
Median length3
Mean length2.877551
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
87.8%
폐업 6
 
12.2%

Length

2024-04-21T10:26:17.964212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:18.124859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
87.8%
폐업 6
 
12.2%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
45 
20150703
 
1
20190508
 
1
20170915
 
1
20140122
 
1

Length

Max length8
Median length4
Mean length4.3265306
Min length4

Unique

Unique4 ?
Unique (%)8.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
91.8%
20150703 1
 
2.0%
20190508 1
 
2.0%
20170915 1
 
2.0%
20140122 1
 
2.0%

Length

2024-04-21T10:26:18.311811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:18.647914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
91.8%
20150703 1
 
2.0%
20190508 1
 
2.0%
20170915 1
 
2.0%
20140122 1
 
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

소재지전화
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing15
Missing (%)30.6%
Memory size520.0 B
2024-04-21T10:26:19.378325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11
Min length7

Characters and Unicode

Total characters374
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row053-427-4312
2nd row255-9502
3rd row053-431-3000
4th row053-424-1400
5th row053-431-0603
ValueCountFrequency (%)
053-525-7500 1
 
2.9%
1566-0497 1
 
2.9%
053-746-8007 1
 
2.9%
053-765-4765 1
 
2.9%
053-474-2300 1
 
2.9%
0537842437 1
 
2.9%
0537660006 1
 
2.9%
053-955-2678 1
 
2.9%
053-765-7277 1
 
2.9%
053-761-6923 1
 
2.9%
Other values (24) 24
70.6%
2024-04-21T10:26:20.570162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
17.4%
5 54
14.4%
3 52
13.9%
- 49
13.1%
7 32
8.6%
6 28
7.5%
4 28
7.5%
1 23
 
6.1%
2 22
 
5.9%
8 12
 
3.2%
Other values (2) 9
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 324
86.6%
Dash Punctuation 49
 
13.1%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
20.1%
5 54
16.7%
3 52
16.0%
7 32
9.9%
6 28
8.6%
4 28
8.6%
1 23
 
7.1%
2 22
 
6.8%
8 12
 
3.7%
9 8
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
17.4%
5 54
14.4%
3 52
13.9%
- 49
13.1%
7 32
8.6%
6 28
7.5%
4 28
7.5%
1 23
 
6.1%
2 22
 
5.9%
8 12
 
3.2%
Other values (2) 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
17.4%
5 54
14.4%
3 52
13.9%
- 49
13.1%
7 32
8.6%
6 28
7.5%
4 28
7.5%
1 23
 
6.1%
2 22
 
5.9%
8 12
 
3.2%
Other values (2) 9
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing38
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean703720.36
Minimum700811
Maximum706806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:20.914270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700811
5-th percentile700817
Q1702273.5
median702845
Q3705365.5
95-th percentile706804.5
Maximum706806
Range5995
Interquartile range (IQR)3092

Descriptive statistics

Standard deviation2210.0019
Coefficient of variation (CV)0.0031404546
Kurtosis-1.3953184
Mean703720.36
Median Absolute Deviation (MAD)2022
Skewness0.14319011
Sum7740924
Variance4884108.3
MonotonicityNot monotonic
2024-04-21T10:26:21.260749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
700811 1
 
2.0%
700823 1
 
2.0%
701835 1
 
2.0%
705827 1
 
2.0%
702845 1
 
2.0%
702837 1
 
2.0%
702712 1
 
2.0%
706806 1
 
2.0%
706803 1
 
2.0%
704904 1
 
2.0%
(Missing) 38
77.6%
ValueCountFrequency (%)
700811 1
2.0%
700823 1
2.0%
701835 1
2.0%
702712 1
2.0%
702837 1
2.0%
702845 1
2.0%
704721 1
2.0%
704904 1
2.0%
705827 1
2.0%
706803 1
2.0%
ValueCountFrequency (%)
706806 1
2.0%
706803 1
2.0%
705827 1
2.0%
704904 1
2.0%
704721 1
2.0%
702845 1
2.0%
702837 1
2.0%
702712 1
2.0%
701835 1
2.0%
700823 1
2.0%
Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-04-21T10:26:22.201091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length21
Min length13

Characters and Unicode

Total characters1029
Distinct characters88
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row대구광역시 중구 대봉동 128-8
2nd row대구광역시 중구 봉산동 223-17
3rd row대구광역시 중구 서문로2가 83 갑을빌딩 2층
4th row대구광역시 중구 계산동2가 2-2 501호
5th row대구광역시 중구 계산동2가 2-2 정무빌딩
ValueCountFrequency (%)
대구광역시 49
23.1%
수성구 17
 
8.0%
북구 13
 
6.1%
산격동 10
 
4.7%
중구 6
 
2.8%
달서구 5
 
2.4%
동구 4
 
1.9%
지산동 3
 
1.4%
만촌동 3
 
1.4%
1676 3
 
1.4%
Other values (84) 99
46.7%
2024-04-21T10:26:23.520166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
20.4%
99
 
9.6%
56
 
5.4%
51
 
5.0%
50
 
4.9%
49
 
4.8%
49
 
4.8%
1 39
 
3.8%
- 36
 
3.5%
2 30
 
2.9%
Other values (78) 360
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
54.9%
Decimal Number 216
 
21.0%
Space Separator 210
 
20.4%
Dash Punctuation 36
 
3.5%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
17.5%
56
 
9.9%
51
 
9.0%
50
 
8.8%
49
 
8.7%
49
 
8.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
13
 
2.3%
Other values (64) 141
25.0%
Decimal Number
ValueCountFrequency (%)
1 39
18.1%
2 30
13.9%
5 24
11.1%
0 23
10.6%
6 20
9.3%
3 20
9.3%
8 18
8.3%
7 16
7.4%
9 14
 
6.5%
4 12
 
5.6%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
54.9%
Common 463
45.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
17.5%
56
 
9.9%
51
 
9.0%
50
 
8.8%
49
 
8.7%
49
 
8.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
13
 
2.3%
Other values (64) 141
25.0%
Common
ValueCountFrequency (%)
210
45.4%
1 39
 
8.4%
- 36
 
7.8%
2 30
 
6.5%
5 24
 
5.2%
0 23
 
5.0%
6 20
 
4.3%
3 20
 
4.3%
8 18
 
3.9%
7 16
 
3.5%
Other values (3) 27
 
5.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
54.9%
ASCII 464
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
45.3%
1 39
 
8.4%
- 36
 
7.8%
2 30
 
6.5%
5 24
 
5.2%
0 23
 
5.0%
6 20
 
4.3%
3 20
 
4.3%
8 18
 
3.9%
7 16
 
3.4%
Other values (4) 28
 
6.0%
Hangul
ValueCountFrequency (%)
99
17.5%
56
 
9.9%
51
 
9.0%
50
 
8.8%
49
 
8.7%
49
 
8.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
13
 
2.3%
Other values (64) 141
25.0%
Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-04-21T10:26:24.666961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length29
Min length22

Characters and Unicode

Total characters1421
Distinct characters130
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

Unique49 ?
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 49
 
17.0%
수성구 17
 
5.9%
북구 13
 
4.5%
산격동 10
 
3.5%
중구 6
 
2.1%
2층 5
 
1.7%
달서구 5
 
1.7%
동구 4
 
1.4%
8층 3
 
1.0%
범어동 3
 
1.0%
Other values (139) 173
60.1%
2024-04-21T10:26:26.454187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
16.8%
105
 
7.4%
62
 
4.4%
59
 
4.2%
54
 
3.8%
50
 
3.5%
( 49
 
3.4%
49
 
3.4%
49
 
3.4%
) 49
 
3.4%
Other values (120) 656
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
57.7%
Space Separator 239
 
16.8%
Decimal Number 217
 
15.3%
Open Punctuation 49
 
3.4%
Close Punctuation 49
 
3.4%
Other Punctuation 33
 
2.3%
Uppercase Letter 8
 
0.6%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
12.8%
62
 
7.6%
59
 
7.2%
54
 
6.6%
50
 
6.1%
49
 
6.0%
49
 
6.0%
24
 
2.9%
23
 
2.8%
22
 
2.7%
Other values (101) 323
39.4%
Decimal Number
ValueCountFrequency (%)
1 44
20.3%
2 39
18.0%
3 33
15.2%
0 22
10.1%
5 17
 
7.8%
8 16
 
7.4%
7 15
 
6.9%
6 14
 
6.5%
4 14
 
6.5%
9 3
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
B 2
25.0%
C 2
25.0%
T 2
25.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
57.7%
Common 593
41.7%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
12.8%
62
 
7.6%
59
 
7.2%
54
 
6.6%
50
 
6.1%
49
 
6.0%
49
 
6.0%
24
 
2.9%
23
 
2.8%
22
 
2.7%
Other values (101) 323
39.4%
Common
ValueCountFrequency (%)
239
40.3%
( 49
 
8.3%
) 49
 
8.3%
1 44
 
7.4%
2 39
 
6.6%
3 33
 
5.6%
, 33
 
5.6%
0 22
 
3.7%
5 17
 
2.9%
8 16
 
2.7%
Other values (5) 52
 
8.8%
Latin
ValueCountFrequency (%)
A 2
25.0%
B 2
25.0%
C 2
25.0%
T 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
57.7%
ASCII 601
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
39.8%
( 49
 
8.2%
) 49
 
8.2%
1 44
 
7.3%
2 39
 
6.5%
3 33
 
5.5%
, 33
 
5.5%
0 22
 
3.7%
5 17
 
2.8%
8 16
 
2.7%
Other values (9) 60
 
10.0%
Hangul
ValueCountFrequency (%)
105
 
12.8%
62
 
7.6%
59
 
7.2%
54
 
6.6%
50
 
6.1%
49
 
6.0%
49
 
6.0%
24
 
2.9%
23
 
2.8%
22
 
2.7%
Other values (101) 323
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)87.2%
Missing2
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean84231.553
Minimum41068
Maximum704904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:26.839103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41068
5-th percentile41322
Q141517.5
median42026
Q342250
95-th percentile504866.7
Maximum704904
Range663836
Interquartile range (IQR)732.5

Descriptive statistics

Standard deviation163622.75
Coefficient of variation (CV)1.9425351
Kurtosis12.110303
Mean84231.553
Median Absolute Deviation (MAD)418
Skewness3.6872998
Sum3958883
Variance2.6772404 × 1010
MonotonicityNot monotonic
2024-04-21T10:26:27.251619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
41515 3
 
6.1%
41516 2
 
4.1%
42250 2
 
4.1%
42175 2
 
4.1%
41933 2
 
4.1%
704721 1
 
2.0%
42025 1
 
2.0%
42934 1
 
2.0%
42026 1
 
2.0%
42185 1
 
2.0%
Other values (31) 31
63.3%
(Missing) 2
 
4.1%
ValueCountFrequency (%)
41068 1
 
2.0%
41175 1
 
2.0%
41256 1
 
2.0%
41476 1
 
2.0%
41503 1
 
2.0%
41506 1
 
2.0%
41513 1
 
2.0%
41515 3
6.1%
41516 2
4.1%
41519 1
 
2.0%
ValueCountFrequency (%)
704904 1
2.0%
704721 1
2.0%
702837 1
2.0%
42936 1
2.0%
42934 1
2.0%
42739 1
2.0%
42672 1
2.0%
42650 1
2.0%
42444 1
2.0%
42431 1
2.0%

사업장명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-04-21T10:26:28.141571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length8.9591837
Min length3

Characters and Unicode

Total characters439
Distinct characters136
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

Unique49 ?
Unique (%)100.0%

Sample

1st row(주)코리아 커뮤니케이션즈
2nd row주식회사 소스
3rd row(주)삼성여행사
4th row마이스코(주)
5th row여행스케치주식회사
ValueCountFrequency (%)
주식회사 9
 
13.8%
주)코리아 1
 
1.5%
아이엠티솔루션(imt 1
 
1.5%
더파워 1
 
1.5%
주)봄커뮤니케이션즈 1
 
1.5%
주)놀레벤트 1
 
1.5%
주)티비씨 1
 
1.5%
대구엠비씨미디컴(주 1
 
1.5%
주)문화뱅크 1
 
1.5%
주)위드커뮤니케이션즈 1
 
1.5%
Other values (47) 47
72.3%
2024-04-21T10:26:29.157270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
9.1%
( 31
 
7.1%
) 31
 
7.1%
19
 
4.3%
16
 
3.6%
14
 
3.2%
12
 
2.7%
11
 
2.5%
10
 
2.3%
8
 
1.8%
Other values (126) 247
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
79.7%
Open Punctuation 31
 
7.1%
Close Punctuation 31
 
7.1%
Space Separator 16
 
3.6%
Lowercase Letter 8
 
1.8%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
11.4%
19
 
5.4%
14
 
4.0%
12
 
3.4%
11
 
3.1%
10
 
2.9%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (113) 213
60.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
n 1
12.5%
i 1
12.5%
t 1
12.5%
u 1
12.5%
l 1
12.5%
s 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
M 1
33.3%
I 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
79.7%
Common 78
 
17.8%
Latin 11
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
11.4%
19
 
5.4%
14
 
4.0%
12
 
3.4%
11
 
3.1%
10
 
2.9%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (113) 213
60.9%
Latin
ValueCountFrequency (%)
o 2
18.2%
n 1
9.1%
i 1
9.1%
t 1
9.1%
u 1
9.1%
l 1
9.1%
s 1
9.1%
T 1
9.1%
M 1
9.1%
I 1
9.1%
Common
ValueCountFrequency (%)
( 31
39.7%
) 31
39.7%
16
20.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
79.7%
ASCII 89
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
 
11.4%
19
 
5.4%
14
 
4.0%
12
 
3.4%
11
 
3.1%
10
 
2.9%
8
 
2.3%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (113) 213
60.9%
ASCII
ValueCountFrequency (%)
( 31
34.8%
) 31
34.8%
16
18.0%
o 2
 
2.2%
n 1
 
1.1%
i 1
 
1.1%
t 1
 
1.1%
u 1
 
1.1%
l 1
 
1.1%
s 1
 
1.1%
Other values (3) 3
 
3.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0185257 × 1013
Minimum2.0111206 × 1013
Maximum2.0220627 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:29.404015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111206 × 1013
5-th percentile2.0130231 × 1013
Q12.0170524 × 1013
median2.0200212 × 1013
Q32.0210119 × 1013
95-th percentile2.0216526 × 1013
Maximum2.0220627 × 1013
Range1.0942098 × 1011
Interquartile range (IQR)3.9595039 × 1010

Descriptive statistics

Standard deviation2.8633529 × 1010
Coefficient of variation (CV)0.0014185368
Kurtosis0.12067035
Mean2.0185257 × 1013
Median Absolute Deviation (MAD)1.049501 × 1010
Skewness-1.0226651
Sum9.890776 × 1014
Variance8.19879 × 1020
MonotonicityNot monotonic
2024-04-21T10:26:29.658445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20111206170525 1
 
2.0%
20200821175902 1
 
2.0%
20200826111942 1
 
2.0%
20200218175312 1
 
2.0%
20170223112227 1
 
2.0%
20210227100317 1
 
2.0%
20220627155207 1
 
2.0%
20200424090705 1
 
2.0%
20200721172336 1
 
2.0%
20200212133051 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
20111206170525 1
2.0%
20120717094126 1
2.0%
20130107113018 1
2.0%
20130417112817 1
2.0%
20130516101208 1
2.0%
20140122180621 1
2.0%
20140801183327 1
2.0%
20150703160654 1
2.0%
20160128095625 1
2.0%
20160304135717 1
2.0%
ValueCountFrequency (%)
20220627155207 1
2.0%
20220310174752 1
2.0%
20220126132934 1
2.0%
20211126152125 1
2.0%
20210803134147 1
2.0%
20210707142840 1
2.0%
20210616161428 1
2.0%
20210227100317 1
2.0%
20210225170321 1
2.0%
20210224161538 1
2.0%
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
I
27 
U
22 

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 27
55.1%
U 22
44.9%

Length

2024-04-21T10:26:29.885825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:30.044971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
55.1%
u 22
44.9%
Distinct32
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size520.0 B
Minimum2018-08-31 23:59:59
Maximum2022-06-29 02:40:00
2024-04-21T10:26:30.207714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:26:30.432720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing3
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean345473.02
Minimum339053
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:30.662616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339053
5-th percentile339933.43
Q1344395.9
median345549.11
Q3346648.62
95-th percentile348637.19
Maximum355883.11
Range16830.112
Interquartile range (IQR)2252.7209

Descriptive statistics

Standard deviation2933.139
Coefficient of variation (CV)0.0084902114
Kurtosis3.3279683
Mean345473.02
Median Absolute Deviation (MAD)1162.9209
Skewness0.44993483
Sum15891759
Variance8603304.2
MonotonicityNot monotonic
2024-04-21T10:26:30.899810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
345549.11017 3
 
6.1%
345000.804589 2
 
4.1%
343296.850164 2
 
4.1%
346572.515153 1
 
2.0%
346542.457896 1
 
2.0%
347263.37704 1
 
2.0%
346811.693853 1
 
2.0%
347650.723666 1
 
2.0%
347526.908848 1
 
2.0%
347566.840668 1
 
2.0%
Other values (32) 32
65.3%
(Missing) 3
 
6.1%
ValueCountFrequency (%)
339053.001861 1
2.0%
339360.500539 1
2.0%
339919.179033 1
2.0%
339976.179739 1
2.0%
340608.886881 1
2.0%
343251.365403 1
2.0%
343296.850164 2
4.1%
344091.950606 1
2.0%
344143.734627 1
2.0%
344267.144913 1
2.0%
ValueCountFrequency (%)
355883.113907 1
2.0%
351613.237983 1
2.0%
348692.554348 1
2.0%
348471.116026 1
2.0%
347650.723666 1
2.0%
347566.840668 1
2.0%
347526.908848 1
2.0%
347488.957344 1
2.0%
347263.37704 1
2.0%
347017.312798 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing3
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean264093.45
Minimum256715.57
Maximum270113.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:31.144654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256715.57
5-th percentile259681.42
Q1261639.29
median263949.4
Q3266890
95-th percentile268854.34
Maximum270113.96
Range13398.398
Interquartile range (IQR)5250.7061

Descriptive statistics

Standard deviation3344.7922
Coefficient of variation (CV)0.012665185
Kurtosis-0.63755871
Mean264093.45
Median Absolute Deviation (MAD)2530.1574
Skewness-0.049411921
Sum12148299
Variance11187635
MonotonicityNot monotonic
2024-04-21T10:26:31.393676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
268620.845678 3
 
6.1%
268051.856327 2
 
4.1%
264344.275581 2
 
4.1%
260357.649369 1
 
2.0%
260361.799669 1
 
2.0%
263422.893538 1
 
2.0%
260636.094249 1
 
2.0%
259549.229338 1
 
2.0%
263746.625334 1
 
2.0%
264716.581433 1
 
2.0%
Other values (32) 32
65.3%
(Missing) 3
 
6.1%
ValueCountFrequency (%)
256715.567375 1
2.0%
257081.626055 1
2.0%
259549.229338 1
2.0%
260077.997956 1
2.0%
260357.649369 1
2.0%
260361.799669 1
2.0%
260479.646796 1
2.0%
260620.431024 1
2.0%
260636.094249 1
2.0%
260940.303359 1
2.0%
ValueCountFrequency (%)
270113.964907 1
 
2.0%
268936.656893 1
 
2.0%
268913.13745 1
 
2.0%
268677.962081 1
 
2.0%
268620.845678 3
6.1%
268575.703049 1
 
2.0%
268519.949205 1
 
2.0%
268051.856327 2
4.1%
267328.860007 1
 
2.0%
265573.41712 1
 
2.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
국제회의기획업
49 

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 49
100.0%

Length

2024-04-21T10:26:31.624626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:31.781101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 49
100.0%
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
41 
관광사업

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> 41
83.7%
관광사업 8
 
16.3%

Length

2024-04-21T10:26:31.948630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:32.110399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
83.7%
관광사업 8
 
16.3%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing44
Missing (%)89.8%
Memory size520.0 B
2024-04-21T10:26:32.521849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.2
Min length4

Characters and Unicode

Total characters26
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

Unique1 ?
Unique (%)20.0%

Sample

1st row전용주거지역
2nd row상업지역
3rd row상업지역
4th row일반주거지역
5th row일반주거지역
ValueCountFrequency (%)
상업지역 2
40.0%
일반주거지역 2
40.0%
전용주거지역 1
20.0%
2024-04-21T10:26:33.486994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
19.2%
5
19.2%
3
11.5%
3
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
40 
0
2
 
2
13
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4693878
Min length1

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
81.6%
0 5
 
10.2%
2 2
 
4.1%
13 1
 
2.0%
4 1
 
2.0%

Length

2024-04-21T10:26:33.894073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:34.216712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
81.6%
0 5
 
10.2%
2 2
 
4.1%
13 1
 
2.0%
4 1
 
2.0%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing46
Missing (%)93.9%
Memory size520.0 B
2024-04-21T10:26:34.614050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters9
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row기타
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
기타 2
66.7%
주택가주변 1
33.3%
2024-04-21T10:26:35.444118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
22.2%
2
22.2%
2
22.2%
1
11.1%
1
11.1%
1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
22.2%
2
22.2%
2
22.2%
1
11.1%
1
11.1%
1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
22.2%
2
22.2%
2
22.2%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
22.2%
2
22.2%
2
22.2%
1
11.1%
1
11.1%
1
11.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing48
Missing (%)98.0%
Memory size520.0 B
2024-04-21T10:26:35.939131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row서울보증보험
ValueCountFrequency (%)
서울보증보험 1
100.0%
2024-04-21T10:26:36.794205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

건물용도명
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing42
Missing (%)85.7%
Memory size520.0 B
2024-04-21T10:26:37.308395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4
Min length2

Characters and Unicode

Total characters28
Distinct characters17
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

Unique5 ?
Unique (%)71.4%

Sample

1st row창고
2nd row문화시설
3rd row문화시설
4th row근린생활시설
5th row교육연구시설
ValueCountFrequency (%)
문화시설 2
28.6%
창고 1
14.3%
근린생활시설 1
14.3%
교육연구시설 1
14.3%
생산시설 1
14.3%
기타 1
14.3%
2024-04-21T10:26:38.268280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
17.9%
5
17.9%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
17.9%
5
17.9%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
17.9%
5
17.9%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
17.9%
5
17.9%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
39 
0
5
 
2
3
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.4081633
Min length1

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
79.6%
0 4
 
8.2%
5 2
 
4.1%
3 2
 
4.1%
2 1
 
2.0%
12 1
 
2.0%

Length

2024-04-21T10:26:38.678652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:39.005224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
79.6%
0 4
 
8.2%
5 2
 
4.1%
3 2
 
4.1%
2 1
 
2.0%
12 1
 
2.0%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
41 
0
 
4
4
 
2
1
 
2

Length

Max length4
Median length4
Mean length3.5102041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
83.7%
0 4
 
8.2%
4 2
 
4.1%
1 2
 
4.1%

Length

2024-04-21T10:26:39.382052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:39.698122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
83.7%
0 4
 
8.2%
4 2
 
4.1%
1 2
 
4.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:40.050496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:40.353326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:40.680610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:40.984550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

영문상호명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing32
Missing (%)65.3%
Memory size520.0 B
2024-04-21T10:26:41.570528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length19
Min length12

Characters and Unicode

Total characters323
Distinct characters44
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

Unique17 ?
Unique (%)100.0%

Sample

1st rowSAMSUNG TOUR CO.,LTD
2nd rowMICECO CO.,LTD
3rd rowYale Communications Co.Ltd
4th rowYouth Communications
5th rowDongin Exhibition
ValueCountFrequency (%)
co.,ltd 7
 
15.9%
co.ltd 5
 
11.4%
communications 2
 
4.5%
samsung 1
 
2.3%
gbc 1
 
2.3%
mbc 1
 
2.3%
medicom 1
 
2.3%
munhwabank 1
 
2.3%
dawoo 1
 
2.3%
platform 1
 
2.3%
Other values (23) 23
52.3%
2024-04-21T10:26:42.879995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
8.4%
C 23
 
7.1%
o 22
 
6.8%
t 16
 
5.0%
O 16
 
5.0%
L 16
 
5.0%
. 15
 
4.6%
i 14
 
4.3%
n 14
 
4.3%
T 12
 
3.7%
Other values (34) 148
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 137
42.4%
Uppercase Letter 136
42.1%
Space Separator 27
 
8.4%
Other Punctuation 23
 
7.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 23
16.9%
O 16
11.8%
L 16
11.8%
T 12
8.8%
D 9
 
6.6%
E 8
 
5.9%
I 7
 
5.1%
M 7
 
5.1%
A 6
 
4.4%
R 6
 
4.4%
Other values (11) 26
19.1%
Lowercase Letter
ValueCountFrequency (%)
o 22
16.1%
t 16
11.7%
i 14
10.2%
n 14
10.2%
a 11
8.0%
d 11
8.0%
m 8
 
5.8%
u 8
 
5.8%
g 5
 
3.6%
e 5
 
3.6%
Other values (10) 23
16.8%
Other Punctuation
ValueCountFrequency (%)
. 15
65.2%
, 8
34.8%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 273
84.5%
Common 50
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 23
 
8.4%
o 22
 
8.1%
t 16
 
5.9%
O 16
 
5.9%
L 16
 
5.9%
i 14
 
5.1%
n 14
 
5.1%
T 12
 
4.4%
a 11
 
4.0%
d 11
 
4.0%
Other values (31) 118
43.2%
Common
ValueCountFrequency (%)
27
54.0%
. 15
30.0%
, 8
 
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 323
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
 
8.4%
C 23
 
7.1%
o 22
 
6.8%
t 16
 
5.0%
O 16
 
5.0%
L 16
 
5.0%
. 15
 
4.6%
i 14
 
4.3%
n 14
 
4.3%
T 12
 
3.7%
Other values (34) 148
45.8%
Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
33 
PCO(professional convention organizer)
International conference planning business
Professional Congress Organizers
 
1
Professional Conference Organizer
 
1
Other values (2)
 
2

Length

Max length42
Median length4
Mean length15.081633
Min length4

Unique

Unique4 ?
Unique (%)8.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
67.3%
PCO(professional convention organizer) 7
 
14.3%
International conference planning business 5
 
10.2%
Professional Congress Organizers 1
 
2.0%
Professional Conference Organizer 1
 
2.0%
International conference planning 1
 
2.0%
International Convention business 1
 
2.0%

Length

2024-04-21T10:26:43.311659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:43.664795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
38.4%
convention 8
 
9.3%
organizer 8
 
9.3%
pco(professional 7
 
8.1%
international 7
 
8.1%
conference 7
 
8.1%
planning 6
 
7.0%
business 6
 
7.0%
professional 2
 
2.3%
congress 1
 
1.2%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:44.084337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:44.394631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:44.729203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:45.038371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:45.371102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:45.673295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:46.005985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:46.308555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:46.640587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:46.942573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)82.4%
Missing32
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean142.26529
Minimum0
Maximum560.66
Zeros4
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:47.208759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median98.19
Q3210
95-th percentile383.332
Maximum560.66
Range560.66
Interquartile range (IQR)165

Descriptive statistics

Standard deviation151.01264
Coefficient of variation (CV)1.0614862
Kurtosis2.4579961
Mean142.26529
Median Absolute Deviation (MAD)98.19
Skewness1.5064598
Sum2418.51
Variance22804.818
MonotonicityNot monotonic
2024-04-21T10:26:47.540621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 4
 
8.2%
216.0 1
 
2.0%
210.0 1
 
2.0%
560.66 1
 
2.0%
125.4 1
 
2.0%
339.0 1
 
2.0%
80.0 1
 
2.0%
62.77 1
 
2.0%
72.39 1
 
2.0%
316.03 1
 
2.0%
Other values (4) 4
 
8.2%
(Missing) 32
65.3%
ValueCountFrequency (%)
0.0 4
8.2%
45.0 1
 
2.0%
62.77 1
 
2.0%
72.39 1
 
2.0%
80.0 1
 
2.0%
98.19 1
 
2.0%
106.92 1
 
2.0%
125.4 1
 
2.0%
186.15 1
 
2.0%
210.0 1
 
2.0%
ValueCountFrequency (%)
560.66 1
2.0%
339.0 1
2.0%
316.03 1
2.0%
216.0 1
2.0%
210.0 1
2.0%
186.15 1
2.0%
125.4 1
2.0%
106.92 1
2.0%
98.19 1
2.0%
80.0 1
2.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
<NA>
44 
0

Length

Max length4
Median length4
Mean length3.6938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
0 5
 
10.2%

Length

2024-04-21T10:26:47.929178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:26:48.233621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
0 5
 
10.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)47.2%
Missing13
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean1.4290521 × 108
Minimum0
Maximum1 × 109
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:48.536887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50000000
Q150000000
median53804638
Q31.775 × 108
95-th percentile4.65 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)1.275 × 108

Descriptive statistics

Standard deviation1.8605178 × 108
Coefficient of variation (CV)1.3019244
Kurtosis12.870791
Mean1.4290521 × 108
Median Absolute Deviation (MAD)25000000
Skewness3.2908217
Sum5.1445875 × 109
Variance3.4615263 × 1016
MonotonicityNot monotonic
2024-04-21T10:26:48.920315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
50000000 17
34.7%
100000000 3
 
6.1%
200000000 2
 
4.1%
350000000 1
 
2.0%
100017203 1
 
2.0%
208594780 1
 
2.0%
210000000 1
 
2.0%
510000000 1
 
2.0%
109605537 1
 
2.0%
57609275 1
 
2.0%
Other values (7) 7
14.3%
(Missing) 13
26.5%
ValueCountFrequency (%)
0 1
 
2.0%
50000000 17
34.7%
57609275 1
 
2.0%
100000000 3
 
6.1%
100017203 1
 
2.0%
103348220 1
 
2.0%
109605537 1
 
2.0%
120000000 1
 
2.0%
170000000 1
 
2.0%
200000000 2
 
4.1%
ValueCountFrequency (%)
1000000000 1
2.0%
510000000 1
2.0%
450000000 1
2.0%
350000000 1
2.0%
210000000 1
2.0%
208594780 1
2.0%
205412500 1
2.0%
200000000 2
4.1%
170000000 1
2.0%
120000000 1
2.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size569.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)82.4%
Missing32
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean142.23529
Minimum0
Maximum561
Zeros4
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-04-21T10:26:49.243368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median98
Q3210
95-th percentile383.4
Maximum561
Range561
Interquartile range (IQR)165

Descriptive statistics

Standard deviation151.07553
Coefficient of variation (CV)1.0621522
Kurtosis2.4667009
Mean142.23529
Median Absolute Deviation (MAD)98
Skewness1.5087993
Sum2418
Variance22823.816
MonotonicityNot monotonic
2024-04-21T10:26:49.570704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 4
 
8.2%
216 1
 
2.0%
210 1
 
2.0%
561 1
 
2.0%
125 1
 
2.0%
339 1
 
2.0%
80 1
 
2.0%
63 1
 
2.0%
72 1
 
2.0%
316 1
 
2.0%
Other values (4) 4
 
8.2%
(Missing) 32
65.3%
ValueCountFrequency (%)
0 4
8.2%
45 1
 
2.0%
63 1
 
2.0%
72 1
 
2.0%
80 1
 
2.0%
98 1
 
2.0%
107 1
 
2.0%
125 1
 
2.0%
186 1
 
2.0%
210 1
 
2.0%
ValueCountFrequency (%)
561 1
2.0%
339 1
2.0%
316 1
2.0%
216 1
2.0%
210 1
2.0%
186 1
2.0%
125 1
2.0%
107 1
2.0%
98 1
2.0%
80 1
2.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국제회의기획업03_08_01_P3410000CDFI226310200500000120051116<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-4312<NA>700811대구광역시 중구 대봉동 128-8대구광역시 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 223-17대구광역시 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 83 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 2-2 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_P3410000CDFI226310202100000120210803<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-0603<NA><NA>대구광역시 중구 대봉동 20-35 1층대구광역시 중구 달구벌대로 2204, 1층 (대봉동)41951주식회사 픽쇼코리아20210803134147I2021-08-05 00:22:51.0<NA>344834.917521263682.783428국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
67국제회의기획업03_08_01_P3420000CDFI226310201400000120140220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 194-49대구광역시 동구 화랑로37길 25-4 (효목동)41175(주)예일커뮤니케이션즈20201015105332U2020-10-17 02:40:00.0<NA>348471.116026265473.309244국제회의기획업<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_P3420000CDFI226310202000000120200305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신서동 1160-1대구광역시 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
89국제회의기획업03_08_01_P3420000CDFI226310201900000120190208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 95대구광역시 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>
910국제회의기획업03_08_01_P3420000CDFI226310200800000120081229<NA>3폐업3폐업20150703<NA><NA><NA>985-9559<NA>701835대구광역시 동구 용계동 515-2대구광역시 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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
3940국제회의기획업03_08_01_P3460000CDFI226310202100000120130227<NA>1영업/정상13영업중<NA><NA><NA><NA>0536213651<NA><NA>대구광역시 수성구 지산동 966-8대구광역시 수성구 청수로38길 30, A동 501호 (지산동)42177아이엠티솔루션(IMT solution)20210225170321I2021-02-27 00:23:00.0<NA>347017.312798260940.303359국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>IMT solutionInternational conference planning 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_P3460000CDFI226310201100000120020822<NA>1영업/정상13영업중<NA><NA><NA><NA>053-746-8007<NA>706803대구광역시 수성구 만촌동 1356-51 성화빌딩6층대구광역시 수성구 화랑로8길 11-13 (만촌동,성화빌딩6층)<NA>(주)덱스코20210616161428U2021-06-18 02:40:00.0<NA>347488.957344264624.503838국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4142국제회의기획업03_08_01_P3460000CDFI226310201000000120100408<NA>3폐업3폐업20170915<NA><NA><NA>1566-0497<NA><NA>대구광역시 수성구 황금동 706-29대구광역시 수성구 청솔로 38, 2층 202호 (황금동)42141(주)유니온커뮤니케이션20171016133440I2018-08-31 23:59:59.0<NA>346346.678036262315.849437국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>106.92<NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>107
4243국제회의기획업03_08_01_P3470000CDFI226310201700000120170123<NA>1영업/정상13영업중<NA><NA><NA><NA>0537466407<NA><NA>대구광역시 달서구 두류동 588대구광역시 달서구 공원순환로 46 (두류동, 대구관광정보센터)42672특수법인 대구광역시관광협회20201222092142U2020-12-24 02:40:00.0<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>
4344국제회의기획업03_08_01_P3470000CDFI226310201900000120190405<NA>1영업/정상13영업중<NA><NA><NA><NA>053-625-3220<NA><NA>대구광역시 달서구 두류동 706-3대구광역시 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>
4445국제회의기획업03_08_01_P3470000CDFI226310201900000220150925<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-3610<NA><NA>대구광역시 달서구 송현동 172-8대구광역시 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>
4546국제회의기획업03_08_01_P3470000CDFI226310201000000120100406<NA>1영업/정상13영업중<NA><NA><NA><NA>053-563-9600<NA>704904대구광역시 달서구 감삼동 315-5대구광역시 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>
4647국제회의기획업03_08_01_P3470000CDFI226310200900000120060928<NA>3폐업3폐업20140122<NA><NA><NA>625-6123<NA>704721대구광역시 달서구 본동 831 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>
4748국제회의기획업03_08_01_P3480000CDFI226310202000000120201026<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7277<NA><NA>대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 미미20220310174752U2022-03-12 02:40:00.0<NA>346575.931478256715.567375국제회의기획업<NA>일반주거지역4주택가주변<NA><NA>생산시설31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>186.15<NA><NA><NA><NA><NA><NA><NA><NA>103348220<NA><NA><NA>186
4849국제회의기획업03_08_01_P3480000CDFI226310201800000120180205<NA>1영업/정상13영업중<NA><NA><NA><NA>0537680430<NA><NA>대구광역시 달성군 가창면 용계리 12-9대구광역시 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