Overview

Dataset statistics

Number of variables63
Number of observations49
Missing cells1315
Missing cells (%)42.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.1 KiB
Average record size in memory545.7 B

Variable types

Numeric7
Categorical21
Text12
DateTime4
Unsupported19

Dataset

Description23년09월_6270000_대구광역시_03_08_01_P_국제회의기획업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100894&dataSetDetailId=DDI_0000100910&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
보험기관명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (57.3%)Imbalance
영업상태명 is highly imbalanced (57.3%)Imbalance
상세영업상태코드 is highly imbalanced (57.3%)Imbalance
상세영업상태명 is highly imbalanced (57.3%)Imbalance
인허가취소일자 has 49 (100.0%) missing valuesMissing
폐업일자 has 44 (89.8%) 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 17 (34.7%) missing valuesMissing
소재지면적 has 49 (100.0%) missing valuesMissing
소재지우편번호 has 40 (81.6%) missing valuesMissing
도로명우편번호 has 2 (4.1%) missing valuesMissing
업태구분명 has 49 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) 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 29 (59.2%) missing valuesMissing
선박제원 has 49 (100.0%) missing valuesMissing
기념품종류 has 49 (100.0%) missing valuesMissing
시설면적 has 29 (59.2%) 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 12 (24.5%) 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 29 (59.2%) 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 8 (16.3%) zerosZeros
자본금 has 2 (4.1%) zerosZeros
시설규모 has 8 (16.3%) zerosZeros

Reproduction

Analysis started2023-12-10 18:16:07.030614
Analysis finished2023-12-10 18:16:08.304665
Duration1.27 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 size573.0 B
2023-12-11T03:16:08.452301image/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
2023-12-11T03:16:09.066381image/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 size524.0 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

2023-12-11T03:16:09.314637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:09.477316image/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 size524.0 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

2023-12-11T03:16:09.647412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:09.822450image/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%
Mean3448571.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:09.965443image/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 deviation19790.57
Coefficient of variation (CV)0.0057387734
Kurtosis-0.23589646
Mean3448571.4
Median Absolute Deviation (MAD)10000
Skewness-0.85263593
Sum1.6898 × 108
Variance3.9166667 × 108
MonotonicityIncreasing
2023-12-11T03:16:10.177001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3460000 16
32.7%
3450000 13
26.5%
3410000 6
 
12.2%
3470000 5
 
10.2%
3420000 4
 
8.2%
3440000 3
 
6.1%
3480000 2
 
4.1%
ValueCountFrequency (%)
3410000 6
 
12.2%
3420000 4
 
8.2%
3440000 3
 
6.1%
3450000 13
26.5%
3460000 16
32.7%
3470000 5
 
10.2%
3480000 2
 
4.1%
ValueCountFrequency (%)
3480000 2
 
4.1%
3470000 5
 
10.2%
3460000 16
32.7%
3450000 13
26.5%
3440000 3
 
6.1%
3420000 4
 
8.2%
3410000 6
 
12.2%
Distinct27
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T03:16:10.523490image/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

Unique13 ?
Unique (%)26.5%

Sample

1st rowCDFI2263102005000001
2nd rowCDFI2263102008000001
3rd rowCDFI2263102014000001
4th rowCDFI2263102015000001
5th rowCDFI2263102018000001
ValueCountFrequency (%)
cdfi2263102014000001 4
 
8.2%
cdfi2263102020000001 4
 
8.2%
cdfi2263102015000001 3
 
6.1%
cdfi2263102018000001 3
 
6.1%
cdfi2263102021000001 3
 
6.1%
cdfi2263102023000001 3
 
6.1%
cdfi2263102017000002 2
 
4.1%
cdfi2263102005000001 2
 
4.1%
cdfi2263102012000001 2
 
4.1%
cdfi2263102010000001 2
 
4.1%
Other values (17) 21
42.9%
2023-12-11T03:16:11.161091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 358
36.5%
2 171
17.4%
1 121
 
12.3%
3 54
 
5.5%
6 53
 
5.4%
C 49
 
5.0%
D 49
 
5.0%
F 49
 
5.0%
I 49
 
5.0%
4 7
 
0.7%
Other values (4) 20
 
2.0%

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%
2 171
21.8%
1 121
 
15.4%
3 54
 
6.9%
6 53
 
6.8%
4 7
 
0.9%
7 6
 
0.8%
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%
2 171
21.8%
1 121
 
15.4%
3 54
 
6.9%
6 53
 
6.8%
4 7
 
0.9%
7 6
 
0.8%
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%
2 171
17.4%
1 121
 
12.3%
3 54
 
5.5%
6 53
 
5.4%
C 49
 
5.0%
D 49
 
5.0%
F 49
 
5.0%
I 49
 
5.0%
4 7
 
0.7%
Other values (4) 20
 
2.0%

인허가일자
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2002-08-22 00:00:00
Maximum2021-11-26 00:00:00
2023-12-11T03:16:11.446949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:16:11.730319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
1
42 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
85.7%
3 6
 
12.2%
4 1
 
2.0%

Length

2023-12-11T03:16:11.984660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:12.148730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
85.7%
3 6
 
12.2%
4 1
 
2.0%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
영업/정상
42 
폐업
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8163265
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
85.7%
폐업 6
 
12.2%
취소/말소/만료/정지/중지 1
 
2.0%

Length

2023-12-11T03:16:12.350020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:12.508152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
85.7%
폐업 6
 
12.2%
취소/말소/만료/정지/중지 1
 
2.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
13
42 
3
35
 
1

Length

Max length2
Median length2
Mean length1.877551
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 42
85.7%
3 6
 
12.2%
35 1
 
2.0%

Length

2023-12-11T03:16:12.673356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:12.882060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 42
85.7%
3 6
 
12.2%
35 1
 
2.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
영업중
42 
폐업
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8979592
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
85.7%
폐업 6
 
12.2%
직권말소 1
 
2.0%

Length

2023-12-11T03:16:13.083679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:13.334843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
85.7%
폐업 6
 
12.2%
직권말소 1
 
2.0%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing44
Missing (%)89.8%
Memory size524.0 B
Minimum2014-01-22 00:00:00
Maximum2023-03-21 00:00:00
2023-12-11T03:16:13.489458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:16:13.676894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

소재지전화
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing17
Missing (%)34.7%
Memory size524.0 B
2023-12-11T03:16:14.018833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.1875
Min length7

Characters and Unicode

Total characters358
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

Unique32 ?
Unique (%)100.0%

Sample

1st row053-427-4312
2nd row053-255-7173
3rd row053-431-3000
4th row053-424-1400
5th row053-431-0603
ValueCountFrequency (%)
053-746-6407 1
 
3.1%
053-431-3000 1
 
3.1%
0537660006 1
 
3.1%
053-746-8007 1
 
3.1%
053-761-6923 1
 
3.1%
053-744-7300 1
 
3.1%
053-384-7244 1
 
3.1%
053-474-2300 1
 
3.1%
0537842437 1
 
3.1%
053-955-2678 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T03:16:14.636904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
17.3%
3 51
14.2%
- 50
14.0%
5 49
13.7%
7 34
9.5%
6 27
7.5%
4 26
7.3%
1 22
 
6.1%
2 17
 
4.7%
8 12
 
3.4%
Other values (2) 8
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
85.8%
Dash Punctuation 50
 
14.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
20.2%
3 51
16.6%
5 49
16.0%
7 34
11.1%
6 27
8.8%
4 26
8.5%
1 22
 
7.2%
2 17
 
5.5%
8 12
 
3.9%
9 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
17.3%
3 51
14.2%
- 50
14.0%
5 49
13.7%
7 34
9.5%
6 27
7.5%
4 26
7.3%
1 22
 
6.1%
2 17
 
4.7%
8 12
 
3.4%
Other values (2) 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
17.3%
3 51
14.2%
- 50
14.0%
5 49
13.7%
7 34
9.5%
6 27
7.5%
4 26
7.3%
1 22
 
6.1%
2 17
 
4.7%
8 12
 
3.4%
Other values (2) 8
 
2.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

소재지우편번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing40
Missing (%)81.6%
Memory size524.0 B
2023-12-11T03:16:14.949127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters63
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row700-811
2nd row701-835
3rd row705-827
4th row702-712
5th row702-845
ValueCountFrequency (%)
700-811 1
11.1%
701-835 1
11.1%
705-827 1
11.1%
702-712 1
11.1%
702-845 1
11.1%
702-837 1
11.1%
706-803 1
11.1%
704-721 1
11.1%
704-904 1
11.1%
2023-12-11T03:16:15.443357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 13
20.6%
0 12
19.0%
- 9
14.3%
8 6
9.5%
2 6
9.5%
1 5
 
7.9%
4 4
 
6.3%
3 3
 
4.8%
5 3
 
4.8%
6 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
85.7%
Dash Punctuation 9
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 13
24.1%
0 12
22.2%
8 6
11.1%
2 6
11.1%
1 5
 
9.3%
4 4
 
7.4%
3 3
 
5.6%
5 3
 
5.6%
6 1
 
1.9%
9 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 13
20.6%
0 12
19.0%
- 9
14.3%
8 6
9.5%
2 6
9.5%
1 5
 
7.9%
4 4
 
6.3%
3 3
 
4.8%
5 3
 
4.8%
6 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 13
20.6%
0 12
19.0%
- 9
14.3%
8 6
9.5%
2 6
9.5%
1 5
 
7.9%
4 4
 
6.3%
3 3
 
4.8%
5 3
 
4.8%
6 1
 
1.6%
Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T03:16:15.907816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length21.591837
Min length13

Characters and Unicode

Total characters1058
Distinct characters93
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 대봉동 121-127 101호
3rd row대구광역시 중구 서문로2가 83 갑을빌딩 2층
4th row대구광역시 중구 계산동2가 2-2 501호
5th row대구광역시 중구 계산동2가 2-2 정무빌딩
ValueCountFrequency (%)
대구광역시 49
22.4%
수성구 16
 
7.3%
북구 13
 
5.9%
산격동 10
 
4.6%
중구 6
 
2.7%
달서구 5
 
2.3%
동구 4
 
1.8%
1676 3
 
1.4%
대봉동 3
 
1.4%
남구 3
 
1.4%
Other values (88) 107
48.9%
2023-12-11T03:16:16.660474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
20.4%
100
 
9.5%
59
 
5.6%
51
 
4.8%
50
 
4.7%
49
 
4.6%
49
 
4.6%
1 49
 
4.6%
- 35
 
3.3%
2 34
 
3.2%
Other values (83) 366
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
54.9%
Decimal Number 224
 
21.2%
Space Separator 216
 
20.4%
Dash Punctuation 35
 
3.3%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
17.2%
59
 
10.2%
51
 
8.8%
50
 
8.6%
49
 
8.4%
49
 
8.4%
22
 
3.8%
17
 
2.9%
16
 
2.8%
13
 
2.2%
Other values (69) 155
26.7%
Decimal Number
ValueCountFrequency (%)
1 49
21.9%
2 34
15.2%
5 26
11.6%
0 21
9.4%
6 20
8.9%
3 17
 
7.6%
7 17
 
7.6%
8 15
 
6.7%
9 14
 
6.2%
4 11
 
4.9%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
54.9%
Common 476
45.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
17.2%
59
 
10.2%
51
 
8.8%
50
 
8.6%
49
 
8.4%
49
 
8.4%
22
 
3.8%
17
 
2.9%
16
 
2.8%
13
 
2.2%
Other values (69) 155
26.7%
Common
ValueCountFrequency (%)
216
45.4%
1 49
 
10.3%
- 35
 
7.4%
2 34
 
7.1%
5 26
 
5.5%
0 21
 
4.4%
6 20
 
4.2%
3 17
 
3.6%
7 17
 
3.6%
8 15
 
3.2%
Other values (3) 26
 
5.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
54.9%
ASCII 477
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
45.3%
1 49
 
10.3%
- 35
 
7.3%
2 34
 
7.1%
5 26
 
5.5%
0 21
 
4.4%
6 20
 
4.2%
3 17
 
3.6%
7 17
 
3.6%
8 15
 
3.1%
Other values (4) 27
 
5.7%
Hangul
ValueCountFrequency (%)
100
17.2%
59
 
10.2%
51
 
8.8%
50
 
8.6%
49
 
8.4%
49
 
8.4%
22
 
3.8%
17
 
2.9%
16
 
2.8%
13
 
2.2%
Other values (69) 155
26.7%
Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T03:16:17.192423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length29.612245
Min length22

Characters and Unicode

Total characters1451
Distinct characters124
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 명덕로 321-49, 101호 (대봉동)
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
 
16.6%
수성구 16
 
5.4%
북구 13
 
4.4%
산격동 10
 
3.4%
2층 6
 
2.0%
중구 6
 
2.0%
달서구 5
 
1.7%
동구 4
 
1.4%
1층 4
 
1.4%
3층 4
 
1.4%
Other values (142) 179
60.5%
2023-12-11T03:16:17.984408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
17.0%
105
 
7.2%
64
 
4.4%
59
 
4.1%
54
 
3.7%
49
 
3.4%
) 49
 
3.4%
( 49
 
3.4%
49
 
3.4%
49
 
3.4%
Other values (114) 677
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
57.0%
Space Separator 247
 
17.0%
Decimal Number 228
 
15.7%
Close Punctuation 49
 
3.4%
Open Punctuation 49
 
3.4%
Other Punctuation 37
 
2.5%
Uppercase Letter 8
 
0.6%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
12.7%
64
 
7.7%
59
 
7.1%
54
 
6.5%
49
 
5.9%
49
 
5.9%
49
 
5.9%
26
 
3.1%
21
 
2.5%
20
 
2.4%
Other values (95) 331
40.0%
Decimal Number
ValueCountFrequency (%)
1 48
21.1%
2 38
16.7%
3 36
15.8%
0 26
11.4%
8 16
 
7.0%
5 16
 
7.0%
4 16
 
7.0%
6 15
 
6.6%
7 13
 
5.7%
9 4
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
C 2
25.0%
T 2
25.0%
A 2
25.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
57.0%
Common 616
42.5%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
12.7%
64
 
7.7%
59
 
7.1%
54
 
6.5%
49
 
5.9%
49
 
5.9%
49
 
5.9%
26
 
3.1%
21
 
2.5%
20
 
2.4%
Other values (95) 331
40.0%
Common
ValueCountFrequency (%)
247
40.1%
) 49
 
8.0%
( 49
 
8.0%
1 48
 
7.8%
2 38
 
6.2%
, 37
 
6.0%
3 36
 
5.8%
0 26
 
4.2%
8 16
 
2.6%
5 16
 
2.6%
Other values (5) 54
 
8.8%
Latin
ValueCountFrequency (%)
B 2
25.0%
C 2
25.0%
T 2
25.0%
A 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
57.0%
ASCII 624
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
39.6%
) 49
 
7.9%
( 49
 
7.9%
1 48
 
7.7%
2 38
 
6.1%
, 37
 
5.9%
3 36
 
5.8%
0 26
 
4.2%
8 16
 
2.6%
5 16
 
2.6%
Other values (9) 62
 
9.9%
Hangul
ValueCountFrequency (%)
105
 
12.7%
64
 
7.7%
59
 
7.1%
54
 
6.5%
49
 
5.9%
49
 
5.9%
49
 
5.9%
26
 
3.1%
21
 
2.5%
20
 
2.4%
Other values (95) 331
40.0%

도로명우편번호
Text

MISSING 

Distinct39
Distinct (%)83.0%
Missing2
Missing (%)4.1%
Memory size524.0 B
2023-12-11T03:16:18.292369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1276596
Min length5

Characters and Unicode

Total characters241
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)70.2%

Sample

1st row41954
2nd row41953
3rd row41921
4th row41933
5th row41933
ValueCountFrequency (%)
41515 4
 
8.5%
42175 2
 
4.3%
42250 2
 
4.3%
41516 2
 
4.3%
42038 2
 
4.3%
41933 2
 
4.3%
42177 1
 
2.1%
42159 1
 
2.1%
42652 1
 
2.1%
42739 1
 
2.1%
Other values (29) 29
61.7%
2023-12-11T03:16:18.780097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 57
23.7%
1 45
18.7%
2 34
14.1%
5 30
12.4%
0 16
 
6.6%
3 15
 
6.2%
9 14
 
5.8%
7 12
 
5.0%
6 10
 
4.1%
8 5
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 238
98.8%
Dash Punctuation 3
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 57
23.9%
1 45
18.9%
2 34
14.3%
5 30
12.6%
0 16
 
6.7%
3 15
 
6.3%
9 14
 
5.9%
7 12
 
5.0%
6 10
 
4.2%
8 5
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 57
23.7%
1 45
18.7%
2 34
14.1%
5 30
12.4%
0 16
 
6.6%
3 15
 
6.2%
9 14
 
5.8%
7 12
 
5.0%
6 10
 
4.1%
8 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 57
23.7%
1 45
18.7%
2 34
14.1%
5 30
12.4%
0 16
 
6.6%
3 15
 
6.2%
9 14
 
5.8%
7 12
 
5.0%
6 10
 
4.1%
8 5
 
2.1%

사업장명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T03:16:19.106243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length8.877551
Min length3

Characters and Unicode

Total characters435
Distinct characters132
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
 
14.1%
주)코리아 1
 
1.6%
주)에이시티 1
 
1.6%
주)유니온커뮤니케이션 1
 
1.6%
주)휴먼아이엠씨 1
 
1.6%
주)백산커뮤니케이션즈 1
 
1.6%
주)덱스코 1
 
1.6%
더파워 1
 
1.6%
주)놀레벤트 1
 
1.6%
주)티비씨 1
 
1.6%
Other values (46) 46
71.9%
2023-12-11T03:16:19.604382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
9.2%
( 31
 
7.1%
) 31
 
7.1%
19
 
4.4%
15
 
3.4%
15
 
3.4%
12
 
2.8%
11
 
2.5%
10
 
2.3%
9
 
2.1%
Other values (122) 242
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
79.8%
Open Punctuation 31
 
7.1%
Close Punctuation 31
 
7.1%
Space Separator 15
 
3.4%
Lowercase Letter 8
 
1.8%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
11.5%
19
 
5.5%
15
 
4.3%
12
 
3.5%
11
 
3.2%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (109) 208
59.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
n 1
12.5%
s 1
12.5%
l 1
12.5%
u 1
12.5%
t 1
12.5%
i 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
I 1
33.3%
M 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
79.8%
Common 77
 
17.7%
Latin 11
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
11.5%
19
 
5.5%
15
 
4.3%
12
 
3.5%
11
 
3.2%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (109) 208
59.9%
Latin
ValueCountFrequency (%)
o 2
18.2%
n 1
9.1%
T 1
9.1%
s 1
9.1%
I 1
9.1%
l 1
9.1%
u 1
9.1%
t 1
9.1%
i 1
9.1%
M 1
9.1%
Common
ValueCountFrequency (%)
( 31
40.3%
) 31
40.3%
15
19.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
79.8%
ASCII 88
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
 
11.5%
19
 
5.5%
15
 
4.3%
12
 
3.5%
11
 
3.2%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (109) 208
59.9%
ASCII
ValueCountFrequency (%)
( 31
35.2%
) 31
35.2%
15
17.0%
o 2
 
2.3%
n 1
 
1.1%
T 1
 
1.1%
s 1
 
1.1%
I 1
 
1.1%
l 1
 
1.1%
u 1
 
1.1%
Other values (3) 3
 
3.4%

최종수정시점
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2011-12-06 17:05:25
Maximum2023-08-08 17:19:30
2023-12-11T03:16:19.806152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:16:20.011954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
I
25 
U
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
51.0%
U 24
49.0%

Length

2023-12-11T03:16:20.197391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:20.354158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
51.0%
u 24
49.0%
Distinct35
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2018-08-31 23:59:59
Maximum2023-08-10 02:40:00
2023-12-11T03:16:20.485246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:16:20.689058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)89.6%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean345727.55
Minimum336133.25
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:20.888815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336133.25
5-th percentile339197.03
Q1344569.89
median345716.14
Q3347078.83
95-th percentile351950.96
Maximum355883.11
Range19749.862
Interquartile range (IQR)2508.9382

Descriptive statistics

Standard deviation3548.3567
Coefficient of variation (CV)0.010263448
Kurtosis1.8132162
Mean345727.55
Median Absolute Deviation (MAD)1335.15
Skewness0.071363296
Sum16594922
Variance12590835
MonotonicityNot monotonic
2023-12-11T03:16:21.097638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
345549.110170479 3
 
6.1%
345000.80458905 2
 
4.1%
343296.850164264 2
 
4.1%
347488.957343502 2
 
4.1%
346572.515152663 1
 
2.0%
346542.457896447 1
 
2.0%
352077.179166866 1
 
2.0%
347263.377040603 1
 
2.0%
352904.676227722 1
 
2.0%
351716.549581419 1
 
2.0%
Other values (33) 33
67.3%
ValueCountFrequency (%)
336133.252207628 1
2.0%
339053.001860586 1
2.0%
339109.00412921 1
2.0%
339360.50053877 1
2.0%
339919.179032682 1
2.0%
342821.872581954 1
2.0%
343251.365402715 1
2.0%
343296.850164264 2
4.1%
344091.950606495 1
2.0%
344143.734626731 1
2.0%
ValueCountFrequency (%)
355883.113907339 1
2.0%
352904.676227722 1
2.0%
352077.179166866 1
2.0%
351716.549581419 1
2.0%
351613.237982852 1
2.0%
348471.116025907 1
2.0%
347650.723665828 1
2.0%
347566.840667658 1
2.0%
347526.908847747 1
2.0%
347488.957343502 2
4.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)89.6%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean264023.42
Minimum256713.97
Maximum270113.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:21.308209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256713.97
5-th percentile259734.3
Q1261484.47
median263858.64
Q3266193.03
95-th percentile268830.83
Maximum270113.96
Range13399.995
Interquartile range (IQR)4708.5561

Descriptive statistics

Standard deviation3344.9199
Coefficient of variation (CV)0.012669027
Kurtosis-0.6785466
Mean264023.42
Median Absolute Deviation (MAD)2438.5753
Skewness0.034529352
Sum12673124
Variance11188489
MonotonicityNot monotonic
2023-12-11T03:16:21.550504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
268620.845678103 3
 
6.1%
268051.856327351 2
 
4.1%
264344.275580732 2
 
4.1%
264624.503838087 2
 
4.1%
260357.649369045 1
 
2.0%
260361.799669226 1
 
2.0%
261212.890056617 1
 
2.0%
263422.893537891 1
 
2.0%
261291.260803968 1
 
2.0%
260718.774512112 1
 
2.0%
Other values (33) 33
67.3%
ValueCountFrequency (%)
256713.970171425 1
2.0%
257081.626055372 1
2.0%
259549.229338159 1
2.0%
260077.997956272 1
2.0%
260357.649369045 1
2.0%
260361.799669226 1
2.0%
260479.646796183 1
2.0%
260620.431024265 1
2.0%
260718.774512112 1
2.0%
260940.303358551 1
2.0%
ValueCountFrequency (%)
270113.964907496 1
 
2.0%
268936.656892723 1
 
2.0%
268913.137449925 1
 
2.0%
268677.962081353 1
 
2.0%
268620.845678103 3
6.1%
268598.94283299 1
 
2.0%
268575.703049373 1
 
2.0%
268519.949205233 1
 
2.0%
268051.856327351 2
4.1%
265573.417119559 1
 
2.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 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

2023-12-11T03:16:21.768700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:21.880420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 49
100.0%
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 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

2023-12-11T03:16:22.005090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:22.135373image/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 size524.0 B
2023-12-11T03:16:22.306483image/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%
2023-12-11T03:16:22.773330image/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

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
34 
0
11 
2
 
2
13
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.1020408
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> 34
69.4%
0 11
 
22.4%
2 2
 
4.1%
13 1
 
2.0%
4 1
 
2.0%

Length

2023-12-11T03:16:23.024979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:23.211540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
69.4%
0 11
 
22.4%
2 2
 
4.1%
13 1
 
2.0%
4 1
 
2.0%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing46
Missing (%)93.9%
Memory size524.0 B
2023-12-11T03:16:23.388258image/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 row기타
3rd row주택가주변
ValueCountFrequency (%)
기타 2
66.7%
주택가주변 1
33.3%
2023-12-11T03:16:23.807254image/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 size573.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing48
Missing (%)98.0%
Memory size524.0 B
2023-12-11T03:16:24.005775image/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%
2023-12-11T03:16:24.887017image/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 size524.0 B
2023-12-11T03:16:25.167918image/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 row문화시설
2nd row문화시설
3rd row창고
4th row근린생활시설
5th row교육연구시설
ValueCountFrequency (%)
문화시설 2
28.6%
창고 1
14.3%
근린생활시설 1
14.3%
교육연구시설 1
14.3%
기타 1
14.3%
생산시설 1
14.3%
2023-12-11T03:16:25.665417image/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

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
33 
0
10 
5
 
2
3
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.0408163
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> 33
67.3%
0 10
 
20.4%
5 2
 
4.1%
3 2
 
4.1%
2 1
 
2.0%
12 1
 
2.0%

Length

2023-12-11T03:16:25.931469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:26.145682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
67.3%
0 10
 
20.4%
5 2
 
4.1%
3 2
 
4.1%
2 1
 
2.0%
12 1
 
2.0%

지하층수
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
35 
0
10 
4
 
2
1
 
2

Length

Max length4
Median length4
Mean length3.1428571
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> 35
71.4%
0 10
 
20.4%
4 2
 
4.1%
1 2
 
4.1%

Length

2023-12-11T03:16:26.381901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:26.582263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
71.4%
0 10
 
20.4%
4 2
 
4.1%
1 2
 
4.1%

객실수
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:26.804669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:26.996146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

건축연면적
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:27.203559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:27.407222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

영문상호명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing29
Missing (%)59.2%
Memory size524.0 B
2023-12-11T03:16:27.700040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length18.95
Min length7

Characters and Unicode

Total characters379
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
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 7
 
14.0%
co.ltd 5
 
10.0%
communications 3
 
6.0%
daegu 2
 
4.0%
samsung 1
 
2.0%
co 1
 
2.0%
medicom 1
 
2.0%
munhwabank 1
 
2.0%
dawoo 1
 
2.0%
platform 1
 
2.0%
Other values (27) 27
54.0%
2023-12-11T03:16:28.442675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
7.9%
o 25
 
6.6%
C 24
 
6.3%
O 19
 
5.0%
t 17
 
4.5%
n 16
 
4.2%
i 16
 
4.2%
L 16
 
4.2%
. 15
 
4.0%
T 14
 
3.7%
Other values (37) 187
49.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 168
44.3%
Lowercase Letter 156
41.2%
Space Separator 30
 
7.9%
Other Punctuation 23
 
6.1%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 24
14.3%
O 19
11.3%
L 16
9.5%
T 14
 
8.3%
D 12
 
7.1%
I 10
 
6.0%
E 10
 
6.0%
A 10
 
6.0%
M 8
 
4.8%
R 7
 
4.2%
Other values (12) 38
22.6%
Lowercase Letter
ValueCountFrequency (%)
o 25
16.0%
t 17
10.9%
n 16
10.3%
i 16
10.3%
a 12
7.7%
d 11
7.1%
m 10
 
6.4%
u 10
 
6.4%
c 8
 
5.1%
e 6
 
3.8%
Other values (10) 25
16.0%
Other Punctuation
ValueCountFrequency (%)
. 15
65.2%
, 8
34.8%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 324
85.5%
Common 55
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 25
 
7.7%
C 24
 
7.4%
O 19
 
5.9%
t 17
 
5.2%
n 16
 
4.9%
i 16
 
4.9%
L 16
 
4.9%
T 14
 
4.3%
D 12
 
3.7%
a 12
 
3.7%
Other values (32) 153
47.2%
Common
ValueCountFrequency (%)
30
54.5%
. 15
27.3%
, 8
 
14.5%
( 1
 
1.8%
) 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
 
7.9%
o 25
 
6.6%
C 24
 
6.3%
O 19
 
5.0%
t 17
 
4.5%
n 16
 
4.2%
i 16
 
4.2%
L 16
 
4.2%
. 15
 
4.0%
T 14
 
3.7%
Other values (37) 187
49.3%
Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
30 
PCO(professional convention organizer)
International conference planning business
Professional Convention Organizer
 
2
Professional Congress Organizers
 
1
Other values (3)
 
3

Length

Max length42
Median length4
Mean length17.040816
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> 30
61.2%
PCO(professional convention organizer) 7
 
14.3%
International conference planning business 6
 
12.2%
Professional Convention Organizer 2
 
4.1%
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

2023-12-11T03:16:28.695871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:28.915568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
32.3%
convention 10
 
10.8%
organizer 10
 
10.8%
international 8
 
8.6%
conference 8
 
8.6%
pco(professional 7
 
7.5%
planning 7
 
7.5%
business 7
 
7.5%
professional 4
 
4.3%
congress 1
 
1.1%

선박총톤수
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:29.190264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:29.387937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

선박척수
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:29.847635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:30.240934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

무대면적
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:30.786470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:31.091987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

좌석수
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:31.391227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:31.595154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B
Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:31.817494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:32.057633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)65.0%
Missing29
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean116.016
Minimum0
Maximum560.66
Zeros8
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:32.247104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67.58
Q3192.1125
95-th percentile350.083
Maximum560.66
Range560.66
Interquartile range (IQR)192.1125

Descriptive statistics

Standard deviation150.45748
Coefficient of variation (CV)1.2968684
Kurtosis2.783395
Mean116.016
Median Absolute Deviation (MAD)67.58
Skewness1.6490151
Sum2320.32
Variance22637.453
MonotonicityNot monotonic
2023-12-11T03:16:32.462697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 8
 
16.3%
216.0 1
 
2.0%
210.0 1
 
2.0%
72.39 1
 
2.0%
62.77 1
 
2.0%
560.66 1
 
2.0%
125.4 1
 
2.0%
339.0 1
 
2.0%
106.92 1
 
2.0%
316.03 1
 
2.0%
Other values (3) 3
 
6.1%
(Missing) 29
59.2%
ValueCountFrequency (%)
0.0 8
16.3%
45.0 1
 
2.0%
62.77 1
 
2.0%
72.39 1
 
2.0%
80.0 1
 
2.0%
106.92 1
 
2.0%
125.4 1
 
2.0%
186.15 1
 
2.0%
210.0 1
 
2.0%
216.0 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%
80.0 1
2.0%
72.39 1
2.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
38 
0
11 

Length

Max length4
Median length4
Mean length3.3265306
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> 38
77.6%
0 11
 
22.4%

Length

2023-12-11T03:16:32.827127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:33.198304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
77.6%
0 11
 
22.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)45.9%
Missing12
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean1.3904291 × 108
Minimum0
Maximum1 × 109
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:33.441529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40000000
Q150000000
median50000000
Q31.7 × 108
95-th percentile4.62 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)1.2 × 108

Descriptive statistics

Standard deviation1.8494775 × 108
Coefficient of variation (CV)1.3301488
Kurtosis13.049222
Mean1.3904291 × 108
Median Absolute Deviation (MAD)50000000
Skewness3.3045712
Sum5.1445875 × 109
Variance3.4205672 × 1016
MonotonicityNot monotonic
2023-12-11T03:16:33.684757image/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%
0 2
 
4.1%
205412496 1
 
2.0%
103348220 1
 
2.0%
170000000 1
 
2.0%
450000000 1
 
2.0%
1000000000 1
 
2.0%
57609276 1
 
2.0%
Other values (7) 7
14.3%
(Missing) 12
24.5%
ValueCountFrequency (%)
0 2
 
4.1%
50000000 17
34.7%
57609276 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%
205412496 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 size573.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)65.0%
Missing29
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean116
Minimum0
Maximum561
Zeros8
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T03:16:33.974000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67.5
Q3192
95-th percentile350.1
Maximum561
Range561
Interquartile range (IQR)192

Descriptive statistics

Standard deviation150.50476
Coefficient of variation (CV)1.2974549
Kurtosis2.7930067
Mean116
Median Absolute Deviation (MAD)67.5
Skewness1.6511713
Sum2320
Variance22651.684
MonotonicityNot monotonic
2023-12-11T03:16:34.194691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8
 
16.3%
216 1
 
2.0%
210 1
 
2.0%
72 1
 
2.0%
63 1
 
2.0%
561 1
 
2.0%
125 1
 
2.0%
339 1
 
2.0%
107 1
 
2.0%
316 1
 
2.0%
Other values (3) 3
 
6.1%
(Missing) 29
59.2%
ValueCountFrequency (%)
0 8
16.3%
45 1
 
2.0%
63 1
 
2.0%
72 1
 
2.0%
80 1
 
2.0%
107 1
 
2.0%
125 1
 
2.0%
186 1
 
2.0%
210 1
 
2.0%
216 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%
80 1
2.0%
72 1
2.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01국제회의기획업03_08_01_P3410000CDFI22631020050000012005-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-4312<NA>700-811대구광역시 중구 대봉동 128-8대구광역시 중구 대봉로 200 (대봉동)41954(주)코리아 커뮤니케이션즈2011-12-06 17:05:25I2018-08-31 23:59:59<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_P3410000CDFI22631020080000012008-05-27<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-7173<NA><NA>대구광역시 중구 대봉동 121-127 101호대구광역시 중구 명덕로 321-49, 101호 (대봉동)41953주식회사 소스2023-01-13 14:22:23U2023-01-15 02:40:00<NA>344982.434493262906.952986국제회의기획업관광사업<NA><NA><NA><NA><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_P3410000CDFI22631020140000012014-12-18<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)삼성여행사2017-11-09 11:17:09I2018-08-31 23:59:59<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_P3410000CDFI22631020150000012015-07-02<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)2016-01-28 09:56:25I2018-08-31 23:59:59<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_P3410000CDFI22631020180000012018-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동2가 2-2 정무빌딩대구광역시 중구 서성로 26, 정무빌딩 5층 (계산동2가)41933여행스케치주식회사2018-03-23 14:10:56I2018-08-31 23:59:59<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_P3410000CDFI22631020210000012021-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-0603<NA><NA>대구광역시 중구 대봉동 20-35 1층대구광역시 중구 달구벌대로 2204, 1층 (대봉동)41951주식회사 픽쇼코리아2021-08-03 13:41:47I2021-08-05 00:22:51<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_P3420000CDFI22631020080000012008-12-29<NA>3폐업3폐업2015-07-03<NA><NA><NA>985-9559<NA>701-835대구광역시 동구 용계동 515-2대구광역시 동구 화랑로 509 (용계동)<NA>(주)뉴스디자인2015-07-03 16:06:54I2018-08-31 23:59:59<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>
78국제회의기획업03_08_01_P3420000CDFI22631020190000012019-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 95대구광역시 동구 동대구로 475, 8층 (신천동)41256주식회사 제이비스퀘어2019-02-08 14:50:24I2019-02-10 02:21:33<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_P3420000CDFI22631020140000012014-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 194-49대구광역시 동구 화랑로37길 25-4 (효목동)41175(주)예일커뮤니케이션즈2020-10-15 10:53:32U2020-10-17 02:40:00<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>
910국제회의기획업03_08_01_P3420000CDFI22631020200000012020-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신서동 1160-1대구광역시 동구 이노밸리로56길 3-2 (신서동)41068청년기획2020-03-05 11:25:28I2020-03-07 00:23:22<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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
3940국제회의기획업03_08_01_P3460000CDFI22631020200000022009-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA>053-955-2678<NA><NA>대구광역시 수성구 만촌동 1325-40대구광역시 수성구 화랑로12길 15, 3층 (만촌동)42038(주)레드컴2020-10-05 18:15:04U2020-10-07 02:40:00<NA>347566.840668264716.581433국제회의기획업<NA><NA>13<NA><NA><NA>교육연구시설121<NA><NA>Red Communication CO.,LTDPCO(professional convention organizer)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
4041국제회의기획업03_08_01_P3460000CDFI22631020210000012013-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>0536213651<NA><NA>대구광역시 수성구 지산동 966-8대구광역시 수성구 청수로38길 30, A동 501호 (지산동)42177아이엠티솔루션(IMT solution)2021-02-25 17:03:21I2021-02-27 00:23:00<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>
4142국제회의기획업03_08_01_P3460000CDFI22631020220000012014-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 1356-51 성화빌딩 6층대구광역시 수성구 화랑로8길 11-13, 성화빌딩 6층 (만촌동)42038(주) 덱스코커뮤니케이션즈2022-08-22 18:01:38I2022-08-24 00:22:35<NA>347488.957344264624.503838국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000(Ju)Dexco communicationsInternational conference planning business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0
4243국제회의기획업03_08_01_P3470000CDFI22631020090000012006-09-28<NA>3폐업3폐업2014-01-22<NA><NA><NA>625-6123<NA>704-721대구광역시 달서구 본동 831 대구공업대학 10호관 2,3 층대구광역시 달서구 구마로 146 (본동)704-721(주)에덱스2014-01-22 18:06:21I2018-08-31 23:59:59<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>
4344국제회의기획업03_08_01_P3470000CDFI22631020100000012010-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA>053-563-9600<NA>704-904대구광역시 달서구 감삼동 315-5대구광역시 달서구 장기로36안길 28 (감삼동)704-904(주)코드2023-02-02 17:09:53U2023-02-04 02:40:00<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>
4445국제회의기획업03_08_01_P3470000CDFI22631020190000012019-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 1252 대구성서우체국대구광역시 달서구 성서로 406, 대구성서우체국 3층 301호 (이곡동)42620한국국제교류사업단2023-08-08 17:19:30U2023-08-10 02:40:00<NA>336133.252208262538.774479국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4546국제회의기획업03_08_01_P3470000CDFI22631020190000022015-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-3610<NA><NA>대구광역시 달서구 송현동 172-8대구광역시 달서구 송현동길 30 (송현동)42739(주)비아이이인터내셔널2019-11-22 08:47:06I2019-11-23 00:23:21<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>
4647국제회의기획업03_08_01_P3470000CDFI22631020230000012021-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 179-32 1층대구광역시 달서구 감삼남3길 24, 1층 (감삼동)42652대성기획2023-03-31 17:53:21I2023-04-02 00:20:28<NA>339109.004129261873.164629국제회의기획업<NA><NA>0<NA><NA><NA><NA>0000DAESUNGProfessional Convention Organizer00<NA>00<NA>080.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>80
4748국제회의기획업03_08_01_P3480000CDFI22631020180000012018-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>0537680430<NA><NA>대구광역시 달성군 가창면 용계리 12-9대구광역시 달성군 가창면 가창로 1110, 1층42934마루기획2018-02-05 12:58:44I2018-08-31 23:59:59<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
4849국제회의기획업03_08_01_P3480000CDFI22631020200000012020-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7277<NA><NA>대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 미미2022-03-10 17:47:52U2022-03-12 02:40:00<NA>346576.997926256713.970171국제회의기획업<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