Overview

Dataset statistics

Number of variables64
Number of observations46
Missing cells1315
Missing cells (%)44.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.1 KiB
Average record size in memory558.9 B

Variable types

Numeric16
Categorical19
Text7
Unsupported22

Dataset

Description6270000_대구광역시_03_11_01_P_관광숙박업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085945&dataSetDetailId=DDI_0000085987&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (84.9%)Imbalance
휴업시작일자 is highly imbalanced (84.9%)Imbalance
휴업종료일자 is highly imbalanced (84.9%)Imbalance
주변환경명 is highly imbalanced (57.4%)Imbalance
폐업일자 has 30 (65.2%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
소재지전화 has 7 (15.2%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 19 (41.3%) missing valuesMissing
도로명전체주소 has 1 (2.2%) missing valuesMissing
도로명우편번호 has 15 (32.6%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.2%) missing valuesMissing
좌표정보(Y) has 1 (2.2%) missing valuesMissing
총층수 has 17 (37.0%) missing valuesMissing
제작취급품목내용 has 46 (100.0%) missing valuesMissing
보험기관명 has 40 (87.0%) missing valuesMissing
지상층수 has 12 (26.1%) missing valuesMissing
객실수 has 23 (50.0%) missing valuesMissing
건축연면적 has 36 (78.3%) missing valuesMissing
영문상호명 has 30 (65.2%) missing valuesMissing
선박총톤수 has 46 (100.0%) missing valuesMissing
선박척수 has 46 (100.0%) missing valuesMissing
선박제원 has 46 (100.0%) missing valuesMissing
무대면적 has 46 (100.0%) missing valuesMissing
좌석수 has 46 (100.0%) missing valuesMissing
기념품종류 has 46 (100.0%) missing valuesMissing
회의실별동시수용인원 has 46 (100.0%) missing valuesMissing
시설면적 has 16 (34.8%) missing valuesMissing
놀이기구수내역 has 46 (100.0%) missing valuesMissing
놀이시설수 has 46 (100.0%) missing valuesMissing
방송시설유무 has 46 (100.0%) missing valuesMissing
발전시설유무 has 46 (100.0%) missing valuesMissing
의무실유무 has 46 (100.0%) missing valuesMissing
안내소유무 has 46 (100.0%) missing valuesMissing
기획여행보험시작일자 has 46 (100.0%) missing valuesMissing
기획여행보험종료일자 has 46 (100.0%) missing valuesMissing
자본금 has 39 (84.8%) missing valuesMissing
보험시작일자 has 46 (100.0%) missing valuesMissing
보험종료일자 has 46 (100.0%) missing valuesMissing
부대시설내역 has 46 (100.0%) missing valuesMissing
시설규모 has 16 (34.8%) missing valuesMissing
번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 22:27:09.054959
Analysis finished2024-04-17 22:27:09.629481
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:09.687339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2024-04-18T07:27:09.805193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
관광숙박업
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 46
100.0%

Length

2024-04-18T07:27:09.903752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:09.976422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 46
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
03_11_01_P
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_01_P
2nd row03_11_01_P
3rd row03_11_01_P
4th row03_11_01_P
5th row03_11_01_P

Common Values

ValueCountFrequency (%)
03_11_01_P 46
100.0%

Length

2024-04-18T07:27:10.049259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:10.124288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_01_p 46
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434565.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:10.196154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33460000
95-th percentile3477500
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation24918.224
Coefficient of variation (CV)0.0072551319
Kurtosis-1.3024388
Mean3434565.2
Median Absolute Deviation (MAD)10000
Skewness0.58553002
Sum1.5799 × 108
Variance6.2091787 × 108
MonotonicityIncreasing
2024-04-18T07:27:10.311555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 13
28.3%
3420000 13
28.3%
3460000 7
15.2%
3470000 5
 
10.9%
3480000 3
 
6.5%
3430000 2
 
4.3%
3440000 2
 
4.3%
3450000 1
 
2.2%
ValueCountFrequency (%)
3410000 13
28.3%
3420000 13
28.3%
3430000 2
 
4.3%
3440000 2
 
4.3%
3450000 1
 
2.2%
3460000 7
15.2%
3470000 5
 
10.9%
3480000 3
 
6.5%
ValueCountFrequency (%)
3480000 3
 
6.5%
3470000 5
 
10.9%
3460000 7
15.2%
3450000 1
 
2.2%
3440000 2
 
4.3%
3430000 2
 
4.3%
3420000 13
28.3%
3410000 13
28.3%

관리번호
Text

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-18T07:27:10.506172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique19 ?
Unique (%)41.3%

Sample

1st rowCDFI2260032017000002
2nd rowCDFI2260031975000001
3rd rowCDFI2260031986000001
4th rowCDFI2260032016000001
5th rowCDFI2260032017000001
ValueCountFrequency (%)
cdfi2260031989000001 4
 
8.7%
cdfi2260032019000001 3
 
6.5%
cdfi2260031990000001 3
 
6.5%
cdfi2260032017000001 3
 
6.5%
cdfi2260032020000001 2
 
4.3%
cdfi2260032008000001 2
 
4.3%
cdfi2260031990000002 2
 
4.3%
cdfi2260032017000002 2
 
4.3%
cdfi2260032015000001 2
 
4.3%
cdfi2260032004000001 2
 
4.3%
Other values (20) 21
45.7%
2024-04-18T07:27:10.785713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 366
39.8%
2 135
 
14.7%
1 68
 
7.4%
3 50
 
5.4%
6 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
9 38
 
4.1%
Other values (4) 30
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 366
49.7%
2 135
 
18.3%
1 68
 
9.2%
3 50
 
6.8%
6 49
 
6.7%
9 38
 
5.2%
8 14
 
1.9%
7 6
 
0.8%
4 5
 
0.7%
5 5
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 366
49.7%
2 135
 
18.3%
1 68
 
9.2%
3 50
 
6.8%
6 49
 
6.7%
9 38
 
5.2%
8 14
 
1.9%
7 6
 
0.8%
4 5
 
0.7%
5 5
 
0.7%
Latin
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 366
39.8%
2 135
 
14.7%
1 68
 
7.4%
3 50
 
5.4%
6 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
9 38
 
4.1%
Other values (4) 30
 
3.3%

인허가일자
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20015620
Minimum19641216
Maximum20200423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:10.905229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641216
5-th percentile19832840
Q119893057
median20025672
Q320170198
95-th percentile20197858
Maximum20200423
Range559207
Interquartile range (IQR)277141.25

Descriptive statistics

Standard deviation145561.19
Coefficient of variation (CV)0.0072723798
Kurtosis-0.78695915
Mean20015620
Median Absolute Deviation (MAD)135305.5
Skewness-0.29945164
Sum9.207185 × 108
Variance2.118806 × 1010
MonotonicityNot monotonic
2024-04-18T07:27:11.028498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20041015 2
 
4.3%
20171113 1
 
2.2%
19641216 1
 
2.2%
19851121 1
 
2.2%
19890311 1
 
2.2%
19980610 1
 
2.2%
19900124 1
 
2.2%
19881213 1
 
2.2%
20081217 1
 
2.2%
20151230 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
19641216 1
2.2%
19750304 1
2.2%
19830210 1
2.2%
19840730 1
2.2%
19851121 1
2.2%
19860125 1
2.2%
19881213 1
2.2%
19890131 1
2.2%
19890311 1
2.2%
19890320 1
2.2%
ValueCountFrequency (%)
20200423 1
2.2%
20200131 1
2.2%
20200106 1
2.2%
20191113 1
2.2%
20191016 1
2.2%
20190604 1
2.2%
20190513 1
2.2%
20190430 1
2.2%
20171113 1
2.2%
20170620 1
2.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20200623
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20200623 1
 
2.2%

Length

2024-04-18T07:27:11.143916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:11.229317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20200623 1
 
2.2%

영업상태구분코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
28 
3
16 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
60.9%
3 16
34.8%
4 1
 
2.2%
2 1
 
2.2%

Length

2024-04-18T07:27:11.341716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:11.429711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
60.9%
3 16
34.8%
4 1
 
2.2%
2 1
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
28 
폐업
16 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length4.0869565
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
60.9%
폐업 16
34.8%
취소/말소/만료/정지/중지 1
 
2.2%
휴업 1
 
2.2%

Length

2024-04-18T07:27:11.533203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:11.625960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
60.9%
폐업 16
34.8%
취소/말소/만료/정지/중지 1
 
2.2%
휴업 1
 
2.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
28 
3
16 
31
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.6304348
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
60.9%
3 16
34.8%
31 1
 
2.2%
2 1
 
2.2%

Length

2024-04-18T07:27:11.732397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:11.814997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
60.9%
3 16
34.8%
31 1
 
2.2%
2 1
 
2.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
28 
폐업
16 
등록취소
 
1
휴업
 
1

Length

Max length4
Median length3
Mean length2.6521739
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
60.9%
폐업 16
34.8%
등록취소 1
 
2.2%
휴업 1
 
2.2%

Length

2024-04-18T07:27:11.917947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:12.035178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
60.9%
폐업 16
34.8%
등록취소 1
 
2.2%
휴업 1
 
2.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing30
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean20115653
Minimum20060608
Maximum20190801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:12.138163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060608
5-th percentile20060922
Q120070196
median20105862
Q320171040
95-th percentile20183023
Maximum20190801
Range130193
Interquartile range (IQR)100843.75

Descriptive statistics

Standard deviation48737.319
Coefficient of variation (CV)0.0024228554
Kurtosis-1.534085
Mean20115653
Median Absolute Deviation (MAD)40247
Skewness0.37172843
Sum3.2185044 × 108
Variance2.3753262 × 109
MonotonicityNot monotonic
2024-04-18T07:27:12.266700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20180430 1
 
2.2%
20061113 1
 
2.2%
20061027 1
 
2.2%
20120102 1
 
2.2%
20070118 1
 
2.2%
20190801 1
 
2.2%
20060608 1
 
2.2%
20080326 1
 
2.2%
20111124 1
 
2.2%
20100601 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 30
65.2%
ValueCountFrequency (%)
20060608 1
2.2%
20061027 1
2.2%
20061113 1
2.2%
20070118 1
2.2%
20070222 1
2.2%
20080326 1
2.2%
20090813 1
2.2%
20100601 1
2.2%
20111124 1
2.2%
20120102 1
2.2%
ValueCountFrequency (%)
20190801 1
2.2%
20180430 1
2.2%
20180103 1
2.2%
20171129 1
2.2%
20171010 1
2.2%
20130916 1
2.2%
20120102 1
2.2%
20111124 1
2.2%
20100601 1
2.2%
20090813 1
2.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20200218
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20200218 1
 
2.2%

Length

2024-04-18T07:27:12.384848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:12.466066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20200218 1
 
2.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20210217
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20210217 1
 
2.2%

Length

2024-04-18T07:27:12.548333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:12.628391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20210217 1
 
2.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지전화
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing7
Missing (%)15.2%
Memory size500.0 B
2024-04-18T07:27:12.778506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.179487
Min length8

Characters and Unicode

Total characters436
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row053 7193450
2nd row(053)252-4101
3rd row(053)252-6001
4th row053 257 9898
5th row053-269-4000
ValueCountFrequency (%)
053 4
 
8.7%
7000 1
 
2.2%
765-7776 1
 
2.2%
742-0001 1
 
2.2%
559-2100 1
 
2.2%
555-3381 1
 
2.2%
053-471-9911 1
 
2.2%
628-1001 1
 
2.2%
053-380-0114 1
 
2.2%
718 1
 
2.2%
Other values (33) 33
71.7%
2024-04-18T07:27:13.046924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
19.0%
5 62
14.2%
- 58
13.3%
3 45
10.3%
1 41
9.4%
2 35
8.0%
7 28
 
6.4%
6 23
 
5.3%
8 19
 
4.4%
4 15
 
3.4%
Other values (4) 27
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 365
83.7%
Dash Punctuation 58
 
13.3%
Space Separator 7
 
1.6%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
22.7%
5 62
17.0%
3 45
12.3%
1 41
11.2%
2 35
9.6%
7 28
 
7.7%
6 23
 
6.3%
8 19
 
5.2%
4 15
 
4.1%
9 14
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 436
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
19.0%
5 62
14.2%
- 58
13.3%
3 45
10.3%
1 41
9.4%
2 35
8.0%
7 28
 
6.4%
6 23
 
5.3%
8 19
 
4.4%
4 15
 
3.4%
Other values (4) 27
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
19.0%
5 62
14.2%
- 58
13.3%
3 45
10.3%
1 41
9.4%
2 35
8.0%
7 28
 
6.4%
6 23
 
5.3%
8 19
 
4.4%
4 15
 
3.4%
Other values (4) 27
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing19
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean703722.96
Minimum700112
Maximum711858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:13.170984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700112
5-th percentile700197.4
Q1701620.5
median703803
Q3705418.5
95-th percentile706844.3
Maximum711858
Range11746
Interquartile range (IQR)3798

Descriptive statistics

Standard deviation2855.8566
Coefficient of variation (CV)0.0040582115
Kurtosis0.73011574
Mean703722.96
Median Absolute Deviation (MAD)2014
Skewness0.80838328
Sum19000520
Variance8155917
MonotonicityNot monotonic
2024-04-18T07:27:13.271675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
700210 1
 
2.2%
711858 1
 
2.2%
704910 1
 
2.2%
704823 1
 
2.2%
704939 1
 
2.2%
704907 1
 
2.2%
706820 1
 
2.2%
706853 1
 
2.2%
706802 1
 
2.2%
706824 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 19
41.3%
ValueCountFrequency (%)
700112 1
2.2%
700192 1
2.2%
700210 1
2.2%
700733 1
2.2%
700821 1
2.2%
701050 1
2.2%
701440 1
2.2%
701801 1
2.2%
701823 1
2.2%
701827 1
2.2%
ValueCountFrequency (%)
711858 1
2.2%
706853 1
2.2%
706824 1
2.2%
706820 1
2.2%
706802 1
2.2%
706801 1
2.2%
705817 1
2.2%
705020 1
2.2%
704939 1
2.2%
704910 1
2.2%

소재지전체주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-18T07:27:13.489740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.913043
Min length18

Characters and Unicode

Total characters962
Distinct characters81
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 장관동 30번지
2nd row대구광역시 중구 종로2가 23번지
3rd row대구광역시 중구 하서동 28-1번지
4th row대구광역시 중구 교동 46-17번지
5th row대구광역시 중구 동일동 27번지
ValueCountFrequency (%)
대구광역시 46
24.3%
동구 13
 
6.9%
중구 13
 
6.9%
수성구 7
 
3.7%
달서구 5
 
2.6%
동문동 3
 
1.6%
달성군 3
 
1.6%
신천동 3
 
1.6%
용수동 3
 
1.6%
상매동 3
 
1.6%
Other values (82) 90
47.6%
2024-04-18T07:27:13.878720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
19.6%
구 91
 
9.5%
동 59
 
6.1%
대 48
 
5.0%
광 46
 
4.8%
역 46
 
4.8%
시 46
 
4.8%
지 43
 
4.5%
번 40
 
4.2%
1 36
 
3.7%
Other values (71) 318
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
58.9%
Space Separator 189
 
19.6%
Decimal Number 171
 
17.8%
Dash Punctuation 35
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 91
16.0%
동 59
10.4%
대 48
 
8.5%
광 46
 
8.1%
역 46
 
8.1%
시 46
 
8.1%
지 43
 
7.6%
번 40
 
7.1%
중 13
 
2.3%
성 11
 
1.9%
Other values (59) 124
21.9%
Decimal Number
ValueCountFrequency (%)
1 36
21.1%
0 22
12.9%
8 16
9.4%
9 16
9.4%
6 16
9.4%
2 15
8.8%
3 13
 
7.6%
4 13
 
7.6%
7 12
 
7.0%
5 12
 
7.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
58.9%
Common 395
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 91
16.0%
동 59
10.4%
대 48
 
8.5%
광 46
 
8.1%
역 46
 
8.1%
시 46
 
8.1%
지 43
 
7.6%
번 40
 
7.1%
중 13
 
2.3%
성 11
 
1.9%
Other values (59) 124
21.9%
Common
ValueCountFrequency (%)
189
47.8%
1 36
 
9.1%
- 35
 
8.9%
0 22
 
5.6%
8 16
 
4.1%
9 16
 
4.1%
6 16
 
4.1%
2 15
 
3.8%
3 13
 
3.3%
4 13
 
3.3%
Other values (2) 24
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
58.9%
ASCII 395
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
47.8%
1 36
 
9.1%
- 35
 
8.9%
0 22
 
5.6%
8 16
 
4.1%
9 16
 
4.1%
6 16
 
4.1%
2 15
 
3.8%
3 13
 
3.3%
4 13
 
3.3%
Other values (2) 24
 
6.1%
Hangul
ValueCountFrequency (%)
구 91
16.0%
동 59
10.4%
대 48
 
8.5%
광 46
 
8.1%
역 46
 
8.1%
시 46
 
8.1%
지 43
 
7.6%
번 40
 
7.1%
중 13
 
2.3%
성 11
 
1.9%
Other values (59) 124
21.9%

도로명전체주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
2024-04-18T07:27:14.146660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.733333
Min length21

Characters and Unicode

Total characters1113
Distinct characters120
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 중앙대로77길 47 (장관동)
2nd row대구광역시 중구 종로 37 (종로2가)
3rd row대구광역시 중구 국채보상로 525 (하서동)
4th row대구광역시 중구 교동4길 16 (교동)
5th row대구광역시 중구 중앙대로81길 13 (동일동)
ValueCountFrequency (%)
대구광역시 45
 
19.4%
중구 13
 
5.6%
동구 13
 
5.6%
수성구 7
 
3.0%
달서구 4
 
1.7%
신천동 3
 
1.3%
용수동 3
 
1.3%
상매동 3
 
1.3%
범어동 3
 
1.3%
달구벌대로 3
 
1.3%
Other values (117) 135
58.2%
2024-04-18T07:27:14.508642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
17.6%
구 96
 
8.6%
동 71
 
6.4%
대 56
 
5.0%
광 46
 
4.1%
시 45
 
4.0%
역 45
 
4.0%
로 44
 
4.0%
1 43
 
3.9%
) 42
 
3.8%
Other values (110) 429
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 680
61.1%
Space Separator 196
 
17.6%
Decimal Number 146
 
13.1%
Close Punctuation 42
 
3.8%
Open Punctuation 42
 
3.8%
Other Punctuation 5
 
0.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 96
14.1%
동 71
 
10.4%
대 56
 
8.2%
광 46
 
6.8%
시 45
 
6.6%
역 45
 
6.6%
로 44
 
6.5%
성 17
 
2.5%
중 15
 
2.2%
길 14
 
2.1%
Other values (95) 231
34.0%
Decimal Number
ValueCountFrequency (%)
1 43
29.5%
2 20
13.7%
4 14
 
9.6%
3 14
 
9.6%
5 14
 
9.6%
7 11
 
7.5%
6 10
 
6.8%
0 10
 
6.8%
8 5
 
3.4%
9 5
 
3.4%
Space Separator
ValueCountFrequency (%)
196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 680
61.1%
Common 433
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 96
14.1%
동 71
 
10.4%
대 56
 
8.2%
광 46
 
6.8%
시 45
 
6.6%
역 45
 
6.6%
로 44
 
6.5%
성 17
 
2.5%
중 15
 
2.2%
길 14
 
2.1%
Other values (95) 231
34.0%
Common
ValueCountFrequency (%)
196
45.3%
1 43
 
9.9%
) 42
 
9.7%
( 42
 
9.7%
2 20
 
4.6%
4 14
 
3.2%
3 14
 
3.2%
5 14
 
3.2%
7 11
 
2.5%
6 10
 
2.3%
Other values (5) 27
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 680
61.1%
ASCII 433
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
45.3%
1 43
 
9.9%
) 42
 
9.7%
( 42
 
9.7%
2 20
 
4.6%
4 14
 
3.2%
3 14
 
3.2%
5 14
 
3.2%
7 11
 
2.5%
6 10
 
2.3%
Other values (5) 27
 
6.2%
Hangul
ValueCountFrequency (%)
구 96
14.1%
동 71
 
10.4%
대 56
 
8.2%
광 46
 
6.8%
시 45
 
6.6%
역 45
 
6.6%
로 44
 
6.5%
성 17
 
2.5%
중 15
 
2.2%
길 14
 
2.1%
Other values (95) 231
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)80.6%
Missing15
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean105998.74
Minimum41007
Maximum711856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:14.613738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41029.5
Q141365
median41921
Q342157
95-th percentile701633.5
Maximum711856
Range670849
Interquartile range (IQR)792

Descriptive statistics

Standard deviation199330.45
Coefficient of variation (CV)1.8804983
Kurtosis6.6563391
Mean105998.74
Median Absolute Deviation (MAD)296
Skewness2.8686998
Sum3285961
Variance3.9732629 × 1010
MonotonicityNot monotonic
2024-04-18T07:27:14.705928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
41913 3
 
6.5%
41059 3
 
6.5%
43013 2
 
4.3%
41007 2
 
4.3%
701827 1
 
2.2%
711856 1
 
2.2%
42842 1
 
2.2%
42064 1
 
2.2%
42217 1
 
2.2%
42117 1
 
2.2%
Other values (15) 15
32.6%
(Missing) 15
32.6%
ValueCountFrequency (%)
41007 2
4.3%
41052 1
 
2.2%
41059 3
6.5%
41159 1
 
2.2%
41215 1
 
2.2%
41515 1
 
2.2%
41902 1
 
2.2%
41910 1
 
2.2%
41912 1
 
2.2%
41913 3
6.5%
ValueCountFrequency (%)
711856 1
2.2%
701827 1
2.2%
701440 1
2.2%
43013 2
4.3%
42842 1
2.2%
42217 1
2.2%
42175 1
2.2%
42139 1
2.2%
42117 1
2.2%
42064 1
2.2%

사업장명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-18T07:27:14.888912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length12
Mean length8.5869565
Min length3

Characters and Unicode

Total characters395
Distinct characters123
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row대구미드타운 호스텔
2nd row쎈추럴관광호텔
3rd row영진아미고호텔(주)
4th row쿼츠호스텔
5th row2월호텔 동성로점
ValueCountFrequency (%)
호텔 6
 
8.6%
주)호텔 3
 
4.3%
호스텔 2
 
2.9%
주)구일 1
 
1.4%
대구크라운관광호텔 1
 
1.4%
호텔에어포트 1
 
1.4%
칸 1
 
1.4%
연전개발(주)호텔제이스 1
 
1.4%
주)뉴대구호텔 1
 
1.4%
엠파이어관광호텔 1
 
1.4%
Other values (52) 52
74.3%
2024-04-18T07:27:15.201458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 43
 
10.9%
호 42
 
10.6%
24
 
6.1%
) 15
 
3.8%
( 15
 
3.8%
주 14
 
3.5%
스 13
 
3.3%
관 12
 
3.0%
광 11
 
2.8%
아 7
 
1.8%
Other values (113) 199
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
80.3%
Space Separator 24
 
6.1%
Lowercase Letter 17
 
4.3%
Close Punctuation 15
 
3.8%
Open Punctuation 15
 
3.8%
Uppercase Letter 4
 
1.0%
Dash Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 43
 
13.6%
호 42
 
13.2%
주 14
 
4.4%
스 13
 
4.1%
관 12
 
3.8%
광 11
 
3.5%
아 7
 
2.2%
이 7
 
2.2%
리 7
 
2.2%
구 6
 
1.9%
Other values (93) 155
48.9%
Lowercase Letter
ValueCountFrequency (%)
l 4
23.5%
g 2
11.8%
i 2
11.8%
o 2
11.8%
a 2
11.8%
e 1
 
5.9%
t 1
 
5.9%
m 1
 
5.9%
n 1
 
5.9%
s 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
E 1
25.0%
P 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
80.3%
Common 57
 
14.4%
Latin 21
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 43
 
13.6%
호 42
 
13.2%
주 14
 
4.4%
스 13
 
4.1%
관 12
 
3.8%
광 11
 
3.5%
아 7
 
2.2%
이 7
 
2.2%
리 7
 
2.2%
구 6
 
1.9%
Other values (93) 155
48.9%
Latin
ValueCountFrequency (%)
l 4
19.0%
g 2
9.5%
i 2
9.5%
o 2
9.5%
a 2
9.5%
e 1
 
4.8%
t 1
 
4.8%
H 1
 
4.8%
m 1
 
4.8%
E 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
24
42.1%
) 15
26.3%
( 15
26.3%
- 1
 
1.8%
2 1
 
1.8%
' 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
80.3%
ASCII 78
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 43
 
13.6%
호 42
 
13.2%
주 14
 
4.4%
스 13
 
4.1%
관 12
 
3.8%
광 11
 
3.5%
아 7
 
2.2%
이 7
 
2.2%
리 7
 
2.2%
구 6
 
1.9%
Other values (93) 155
48.9%
ASCII
ValueCountFrequency (%)
24
30.8%
) 15
19.2%
( 15
19.2%
l 4
 
5.1%
g 2
 
2.6%
i 2
 
2.6%
o 2
 
2.6%
a 2
 
2.6%
- 1
 
1.3%
e 1
 
1.3%
Other values (10) 10
12.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167938 × 1013
Minimum2.0060608 × 1013
Maximum2.0200806 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:15.321407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060608 × 1013
5-th percentile2.0063364 × 1013
Q12.0171038 × 1013
median2.0190759 × 1013
Q32.0200316 × 1013
95-th percentile2.0200629 × 1013
Maximum2.0200806 × 1013
Range1.4019797 × 1011
Interquartile range (IQR)2.9277722 × 1010

Descriptive statistics

Standard deviation4.8120635 × 1010
Coefficient of variation (CV)0.0023859968
Kurtosis0.26020459
Mean2.0167938 × 1013
Median Absolute Deviation (MAD)9.8704676 × 109
Skewness-1.3650925
Sum9.2772513 × 1014
Variance2.3155955 × 1021
MonotonicityNot monotonic
2024-04-18T07:27:15.436296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20171123173803 1
 
2.2%
20200318134254 1
 
2.2%
20180515092001 1
 
2.2%
20060608171721 1
 
2.2%
20200211135439 1
 
2.2%
20190801140600 1
 
2.2%
20200702113848 1
 
2.2%
20200219152019 1
 
2.2%
20200318134953 1
 
2.2%
20200318134517 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
20060608171721 1
2.2%
20061027154801 1
2.2%
20061113114959 1
2.2%
20070118173403 1
2.2%
20070222151435 1
2.2%
20080326191844 1
2.2%
20090813093253 1
2.2%
20100601134928 1
2.2%
20111129162851 1
2.2%
20120102154056 1
2.2%
ValueCountFrequency (%)
20200806142126 1
2.2%
20200702113848 1
2.2%
20200629104518 1
2.2%
20200629095741 1
2.2%
20200629091708 1
2.2%
20200622133244 1
2.2%
20200615094918 1
2.2%
20200326104919 1
2.2%
20200318135054 1
2.2%
20200318134953 1
2.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
24 
I
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 (%)
U 24
52.2%
I 22
47.8%

Length

2024-04-18T07:27:15.563741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:15.634114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
52.2%
i 22
47.8%

데이터갱신일자
Categorical

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2018-08-31 23:59:59.0
19 
2020-03-20 02:40:00.0
4 
2020-07-01 02:40:00.0
3 
2020-03-12 02:40:00.0
3 
2020-01-11 02:40:00.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)37.0%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
41.3%
2020-03-20 02:40:00.0 4
 
8.7%
2020-07-01 02:40:00.0 3
 
6.5%
2020-03-12 02:40:00.0 3
 
6.5%
2020-01-11 02:40:00.0 1
 
2.2%
2019-11-23 02:40:00.0 1
 
2.2%
2020-06-17 02:40:00.0 1
 
2.2%
2019-05-15 02:21:01.0 1
 
2.2%
2020-02-02 00:23:23.0 1
 
2.2%
2020-06-24 02:40:00.0 1
 
2.2%
Other values (11) 11
23.9%

Length

2024-04-18T07:27:15.718702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 24
26.1%
2018-08-31 19
20.7%
23:59:59.0 19
20.7%
2020-03-20 4
 
4.3%
2020-07-01 3
 
3.3%
2020-03-12 3
 
3.3%
2020-02-13 1
 
1.1%
2020-02-15 1
 
1.1%
02:21:04.0 1
 
1.1%
2019-06-06 1
 
1.1%
Other values (16) 16
17.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean344711.62
Minimum328508.32
Maximum353987.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:15.823798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328508.32
5-th percentile330377.87
Q1343216.89
median344280.76
Q3346946.37
95-th percentile353695.42
Maximum353987.71
Range25479.384
Interquartile range (IQR)3729.4822

Descriptive statistics

Standard deviation5809.4093
Coefficient of variation (CV)0.016852954
Kurtosis2.2791448
Mean344711.62
Median Absolute Deviation (MAD)2343.6196
Skewness-1.1020502
Sum15512023
Variance33749236
MonotonicityNot monotonic
2024-04-18T07:27:15.952759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
343606.333968 1
 
2.2%
346271.979582 1
 
2.2%
346922.110876 1
 
2.2%
340481.164687 1
 
2.2%
341937.139309 1
 
2.2%
344280.758889 1
 
2.2%
343216.888499 1
 
2.2%
345396.560356 1
 
2.2%
346507.147444 1
 
2.2%
346576.826067 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
328508.323419 1
2.2%
328548.352834 1
2.2%
328965.130661 1
2.2%
336028.850829 1
2.2%
340382.619774 1
2.2%
340481.164687 1
2.2%
340751.875654 1
2.2%
341937.139309 1
2.2%
342040.07834 1
2.2%
343148.565978 1
2.2%
ValueCountFrequency (%)
353987.707678 1
2.2%
353961.314792 1
2.2%
353956.187425 1
2.2%
352652.333024 1
2.2%
352470.098967 1
2.2%
352283.632829 1
2.2%
350017.050041 1
2.2%
349910.333288 1
2.2%
348302.074149 1
2.2%
347946.247615 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263782.07
Minimum239016.21
Maximum278141.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:16.072890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239016.21
5-th percentile252017.52
Q1262962.04
median264597.61
Q3265463.59
95-th percentile276184.4
Maximum278141.39
Range39125.179
Interquartile range (IQR)2501.5476

Descriptive statistics

Standard deviation7050.9092
Coefficient of variation (CV)0.026730055
Kurtosis6.4261112
Mean263782.07
Median Absolute Deviation (MAD)1367.2885
Skewness-1.6259701
Sum11870193
Variance49715321
MonotonicityNot monotonic
2024-04-18T07:27:16.197570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
264294.667807 1
 
2.2%
259441.744147 1
 
2.2%
265123.315824 1
 
2.2%
263539.732811 1
 
2.2%
265463.585518 1
 
2.2%
261404.052274 1
 
2.2%
262962.037923 1
 
2.2%
268598.942833 1
 
2.2%
262714.226889 1
 
2.2%
260428.96631 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
239016.209158 1
2.2%
239017.56085 1
2.2%
250161.463857 1
2.2%
259441.744147 1
2.2%
260327.827673 1
2.2%
260428.96631 1
2.2%
261277.78301 1
2.2%
261404.052274 1
2.2%
262620.604122 1
2.2%
262714.226889 1
2.2%
ValueCountFrequency (%)
278141.388025 1
2.2%
278091.653532 1
2.2%
278080.761551 1
2.2%
268598.942833 1
2.2%
267876.718368 1
2.2%
266764.712192 1
2.2%
266755.077008 1
2.2%
266725.430562 1
2.2%
266625.829743 1
2.2%
265964.899542 1
2.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
관광숙박업
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 46
100.0%

Length

2024-04-18T07:27:16.310625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:16.389873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 46
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
관광사업
29 
<NA>
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 29
63.0%
<NA> 17
37.0%

Length

2024-04-18T07:27:16.474372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:16.546547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 29
63.0%
na 17
37.0%

지역구분명
Categorical

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
23 
중심상업지역
12 
일반상업지역
3 
상업지역
 
2
근린상업지역
 
2
Other values (3)
4 

Length

Max length6
Median length4
Mean length4.8478261
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
50.0%
중심상업지역 12
26.1%
일반상업지역 3
 
6.5%
상업지역 2
 
4.3%
근린상업지역 2
 
4.3%
준공업지역 2
 
4.3%
일반주거지역 1
 
2.2%
준주거지역 1
 
2.2%

Length

2024-04-18T07:27:16.652177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:16.752773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
50.0%
중심상업지역 12
26.1%
일반상업지역 3
 
6.5%
상업지역 2
 
4.3%
근린상업지역 2
 
4.3%
준공업지역 2
 
4.3%
일반주거지역 1
 
2.2%
준주거지역 1
 
2.2%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)48.3%
Missing17
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean9.4482759
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:16.840471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median8
Q313
95-th percentile20.6
Maximum23
Range22
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5779298
Coefficient of variation (CV)0.59036483
Kurtosis0.31067481
Mean9.4482759
Median Absolute Deviation (MAD)4
Skewness0.816233
Sum274
Variance31.1133
MonotonicityNot monotonic
2024-04-18T07:27:16.932771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 5
 
10.9%
8 5
 
10.9%
12 3
 
6.5%
2 2
 
4.3%
13 2
 
4.3%
4 2
 
4.3%
6 2
 
4.3%
14 2
 
4.3%
21 1
 
2.2%
23 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 17
37.0%
ValueCountFrequency (%)
1 1
 
2.2%
2 2
 
4.3%
4 2
 
4.3%
5 1
 
2.2%
6 2
 
4.3%
7 5
10.9%
8 5
10.9%
12 3
6.5%
13 2
 
4.3%
14 2
 
4.3%
ValueCountFrequency (%)
23 1
 
2.2%
21 1
 
2.2%
20 1
 
2.2%
15 1
 
2.2%
14 2
 
4.3%
13 2
 
4.3%
12 3
6.5%
8 5
10.9%
7 5
10.9%
6 2
 
4.3%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
기타
 
4

Length

Max length4
Median length4
Mean length3.826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
기타 4
 
8.7%

Length

2024-04-18T07:27:17.048356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:17.131098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
기타 4
 
8.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보험기관명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing40
Missing (%)87.0%
Memory size500.0 B
2024-04-18T07:27:17.240806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15.5
Mean length10.833333
Min length8

Characters and Unicode

Total characters65
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row현대해상화재보험(특수건물)
2nd row삼성화재 525-86-01201
3rd row현대해상화재보험
4th row재난배상책임보험
5th row농협손해보험주식회사
ValueCountFrequency (%)
현대해상화재보험 2
28.6%
현대해상화재보험(특수건물 1
14.3%
삼성화재 1
14.3%
525-86-01201 1
14.3%
재난배상책임보험 1
14.3%
농협손해보험주식회사 1
14.3%
2024-04-18T07:27:17.490118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 5
 
7.7%
보 5
 
7.7%
험 5
 
7.7%
해 4
 
6.2%
상 4
 
6.2%
화 4
 
6.2%
현 3
 
4.6%
대 3
 
4.6%
1 2
 
3.1%
0 2
 
3.1%
Other values (25) 28
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
76.9%
Decimal Number 10
 
15.4%
Dash Punctuation 2
 
3.1%
Close Punctuation 1
 
1.5%
Open Punctuation 1
 
1.5%
Space Separator 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 5
 
10.0%
보 5
 
10.0%
험 5
 
10.0%
해 4
 
8.0%
상 4
 
8.0%
화 4
 
8.0%
현 3
 
6.0%
대 3
 
6.0%
삼 1
 
2.0%
회 1
 
2.0%
Other values (15) 15
30.0%
Decimal Number
ValueCountFrequency (%)
1 2
20.0%
0 2
20.0%
2 2
20.0%
5 2
20.0%
6 1
10.0%
8 1
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
76.9%
Common 15
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 5
 
10.0%
보 5
 
10.0%
험 5
 
10.0%
해 4
 
8.0%
상 4
 
8.0%
화 4
 
8.0%
현 3
 
6.0%
대 3
 
6.0%
삼 1
 
2.0%
회 1
 
2.0%
Other values (15) 15
30.0%
Common
ValueCountFrequency (%)
1 2
13.3%
0 2
13.3%
- 2
13.3%
2 2
13.3%
5 2
13.3%
) 1
6.7%
( 1
6.7%
6 1
6.7%
8 1
6.7%
1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
76.9%
ASCII 15
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 5
 
10.0%
보 5
 
10.0%
험 5
 
10.0%
해 4
 
8.0%
상 4
 
8.0%
화 4
 
8.0%
현 3
 
6.0%
대 3
 
6.0%
삼 1
 
2.0%
회 1
 
2.0%
Other values (15) 15
30.0%
ASCII
ValueCountFrequency (%)
1 2
13.3%
0 2
13.3%
- 2
13.3%
2 2
13.3%
5 2
13.3%
) 1
6.7%
( 1
6.7%
6 1
6.7%
8 1
6.7%
1
6.7%

건물용도명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
24 
숙박시설
12 
호텔
9 
여인숙
 
1

Length

Max length4
Median length4
Mean length3.5869565
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
52.2%
숙박시설 12
26.1%
호텔 9
 
19.6%
여인숙 1
 
2.2%

Length

2024-04-18T07:27:17.611874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:17.703682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
52.2%
숙박시설 12
26.1%
호텔 9
 
19.6%
여인숙 1
 
2.2%

지상층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)38.2%
Missing12
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean7.3529412
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:18.217244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.25
median7
Q39.75
95-th percentile12.75
Maximum19
Range18
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.7407045
Coefficient of variation (CV)0.50873581
Kurtosis2.0995738
Mean7.3529412
Median Absolute Deviation (MAD)2
Skewness0.99007203
Sum250
Variance13.99287
MonotonicityNot monotonic
2024-04-18T07:27:18.302555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7 6
13.0%
6 5
10.9%
8 4
 
8.7%
10 4
 
8.7%
11 3
 
6.5%
2 2
 
4.3%
3 2
 
4.3%
5 2
 
4.3%
4 2
 
4.3%
19 1
 
2.2%
Other values (3) 3
 
6.5%
(Missing) 12
26.1%
ValueCountFrequency (%)
1 1
 
2.2%
2 2
 
4.3%
3 2
 
4.3%
4 2
 
4.3%
5 2
 
4.3%
6 5
10.9%
7 6
13.0%
8 4
8.7%
9 1
 
2.2%
10 4
8.7%
ValueCountFrequency (%)
19 1
 
2.2%
16 1
 
2.2%
11 3
6.5%
10 4
8.7%
9 1
 
2.2%
8 4
8.7%
7 6
13.0%
6 5
10.9%
5 2
 
4.3%
4 2
 
4.3%

지하층수
Categorical

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
19 
<NA>
14 
2
8 
4
3 
5
 
1

Length

Max length4
Median length1
Mean length1.9130435
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row1
2nd row1
3rd row2
4th row<NA>
5th row2

Common Values

ValueCountFrequency (%)
1 19
41.3%
<NA> 14
30.4%
2 8
17.4%
4 3
 
6.5%
5 1
 
2.2%
6 1
 
2.2%

Length

2024-04-18T07:27:18.423177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:18.523236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
41.3%
na 14
30.4%
2 8
17.4%
4 3
 
6.5%
5 1
 
2.2%
6 1
 
2.2%

객실수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing23
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean72.478261
Minimum2
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:18.611256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.5
Q141
median51
Q367.5
95-th percentile213.9
Maximum303
Range301
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation72.150014
Coefficient of variation (CV)0.9954711
Kurtosis4.480656
Mean72.478261
Median Absolute Deviation (MAD)14
Skewness2.1675931
Sum1667
Variance5205.6245
MonotonicityNot monotonic
2024-04-18T07:27:18.699307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
51 4
 
8.7%
44 2
 
4.3%
54 1
 
2.2%
70 1
 
2.2%
303 1
 
2.2%
45 1
 
2.2%
62 1
 
2.2%
36 1
 
2.2%
38 1
 
2.2%
2 1
 
2.2%
Other values (9) 9
 
19.6%
(Missing) 23
50.0%
ValueCountFrequency (%)
2 1
 
2.2%
11 1
 
2.2%
16 1
 
2.2%
20 1
 
2.2%
36 1
 
2.2%
38 1
 
2.2%
44 2
4.3%
45 1
 
2.2%
51 4
8.7%
52 1
 
2.2%
ValueCountFrequency (%)
303 1
2.2%
215 1
2.2%
204 1
2.2%
110 1
2.2%
72 1
2.2%
70 1
2.2%
65 1
2.2%
62 1
2.2%
54 1
2.2%
52 1
2.2%

건축연면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean15051
Minimum572
Maximum49964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:18.795093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum572
5-th percentile1647.95
Q13390
median6953
Q320507.5
95-th percentile43637.45
Maximum49964
Range49392
Interquartile range (IQR)17117.5

Descriptive statistics

Standard deviation16558.678
Coefficient of variation (CV)1.1001713
Kurtosis0.8515255
Mean15051
Median Absolute Deviation (MAD)5185.5
Skewness1.3101698
Sum150510
Variance2.741898 × 108
MonotonicityNot monotonic
2024-04-18T07:27:18.880790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3364 1
 
2.2%
572 1
 
2.2%
20831 1
 
2.2%
2963 1
 
2.2%
19537 1
 
2.2%
5791 1
 
2.2%
35905 1
 
2.2%
8115 1
 
2.2%
49964 1
 
2.2%
3468 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
572 1
2.2%
2963 1
2.2%
3364 1
2.2%
3468 1
2.2%
5791 1
2.2%
8115 1
2.2%
19537 1
2.2%
20831 1
2.2%
35905 1
2.2%
49964 1
2.2%
ValueCountFrequency (%)
49964 1
2.2%
35905 1
2.2%
20831 1
2.2%
19537 1
2.2%
8115 1
2.2%
5791 1
2.2%
3468 1
2.2%
3364 1
2.2%
2963 1
2.2%
572 1
2.2%

영문상호명
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing30
Missing (%)65.2%
Memory size500.0 B
2024-04-18T07:27:19.013754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length20.4375
Min length9

Characters and Unicode

Total characters327
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st rowQuartz Hostel
2nd rowHOTEL FEBRUARY DONGSUNGRO
3rd rowRIVERTAIN HOTEL
4th rowNOBLESTAY
5th rowEldis Regent Hotel
ValueCountFrequency (%)
hotel 10
21.3%
tourist 3
 
6.4%
hostel 3
 
6.4%
daegu 2
 
4.3%
quartz 1
 
2.1%
queen-vell 1
 
2.1%
hillside 1
 
2.1%
yeonjeon 1
 
2.1%
development 1
 
2.1%
co 1
 
2.1%
Other values (23) 23
48.9%
2024-04-18T07:27:19.270651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
9.8%
o 20
 
6.1%
E 20
 
6.1%
e 18
 
5.5%
O 18
 
5.5%
t 17
 
5.2%
l 14
 
4.3%
H 14
 
4.3%
T 13
 
4.0%
N 12
 
3.7%
Other values (40) 149
45.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 149
45.6%
Lowercase Letter 138
42.2%
Space Separator 32
 
9.8%
Other Punctuation 6
 
1.8%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 20
13.4%
O 18
12.1%
H 14
 
9.4%
T 13
 
8.7%
N 12
 
8.1%
L 9
 
6.0%
R 7
 
4.7%
D 6
 
4.0%
A 6
 
4.0%
Y 6
 
4.0%
Other values (15) 38
25.5%
Lowercase Letter
ValueCountFrequency (%)
o 20
14.5%
e 18
13.0%
t 17
12.3%
l 14
10.1%
s 12
8.7%
n 9
6.5%
a 8
 
5.8%
i 7
 
5.1%
u 7
 
5.1%
r 7
 
5.1%
Other values (10) 19
13.8%
Other Punctuation
ValueCountFrequency (%)
, 2
33.3%
. 2
33.3%
' 2
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 287
87.8%
Common 40
 
12.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 20
 
7.0%
E 20
 
7.0%
e 18
 
6.3%
O 18
 
6.3%
t 17
 
5.9%
l 14
 
4.9%
H 14
 
4.9%
T 13
 
4.5%
N 12
 
4.2%
s 12
 
4.2%
Other values (35) 129
44.9%
Common
ValueCountFrequency (%)
32
80.0%
- 2
 
5.0%
, 2
 
5.0%
. 2
 
5.0%
' 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
 
9.8%
o 20
 
6.1%
E 20
 
6.1%
e 18
 
5.5%
O 18
 
5.5%
t 17
 
5.2%
l 14
 
4.3%
H 14
 
4.3%
T 13
 
4.0%
N 12
 
3.7%
Other values (40) 149
45.6%

영문상호주소
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
30 
Tourist Hotel
12 
Hostel
 
2
HOTEL
 
1
Tourist Hostel
 
1

Length

Max length14
Median length4
Mean length6.673913
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
65.2%
Tourist Hotel 12
 
26.1%
Hostel 2
 
4.3%
HOTEL 1
 
2.2%
Tourist Hostel 1
 
2.2%

Length

2024-04-18T07:27:19.403188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:19.494237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
50.8%
tourist 13
22.0%
hotel 13
22.0%
hostel 3
 
5.1%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean8839.6673
Minimum106.98
Maximum35935.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:19.586372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106.98
5-th percentile384.3465
Q12597.0125
median4006.815
Q39378.0575
95-th percentile35224.754
Maximum35935.16
Range35828.18
Interquartile range (IQR)6781.045

Descriptive statistics

Standard deviation10874.325
Coefficient of variation (CV)1.2301735
Kurtosis1.5899501
Mean8839.6673
Median Absolute Deviation (MAD)2746.295
Skewness1.6399703
Sum265190.02
Variance1.1825094 × 108
MonotonicityNot monotonic
2024-04-18T07:27:19.733342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3467.96 2
 
4.3%
3782.0 1
 
2.2%
16796.6 1
 
2.2%
9999.02 1
 
2.2%
6314.0 1
 
2.2%
34393.71 1
 
2.2%
24175.79 1
 
2.2%
2905.0 1
 
2.2%
2494.35 1
 
2.2%
35904.7 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 16
34.8%
ValueCountFrequency (%)
106.98 1
2.2%
368.07 1
2.2%
404.24 1
2.2%
537.08 1
2.2%
720.18 1
2.2%
821.41 1
2.2%
2032.32 1
2.2%
2494.35 1
2.2%
2905.0 1
2.2%
2962.68 1
2.2%
ValueCountFrequency (%)
35935.16 1
2.2%
35904.7 1
2.2%
34393.71 1
2.2%
24175.79 1
2.2%
19537.46 1
2.2%
18543.56 1
2.2%
16796.6 1
2.2%
9999.02 1
2.2%
7515.17 1
2.2%
6314.0 1
2.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자본금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean7.4071429 × 109
Minimum4 × 108
Maximum2 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:19.831012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4 × 108
5-th percentile8.8 × 108
Q14 × 109
median6 × 109
Q38.725 × 109
95-th percentile1.67 × 1010
Maximum2 × 1010
Range1.96 × 1010
Interquartile range (IQR)4.725 × 109

Descriptive statistics

Standard deviation6.3836006 × 109
Coefficient of variation (CV)0.86181687
Kurtosis2.5891631
Mean7.4071429 × 109
Median Absolute Deviation (MAD)3 × 109
Skewness1.3404717
Sum5.185 × 1010
Variance4.0750357 × 1019
MonotonicityNot monotonic
2024-04-18T07:27:19.959330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6000000000 2
 
4.3%
20000000000 1
 
2.2%
400000000 1
 
2.2%
9000000000 1
 
2.2%
2000000000 1
 
2.2%
8450000000 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
400000000 1
2.2%
2000000000 1
2.2%
6000000000 2
4.3%
8450000000 1
2.2%
9000000000 1
2.2%
20000000000 1
2.2%
ValueCountFrequency (%)
20000000000 1
2.2%
9000000000 1
2.2%
8450000000 1
2.2%
6000000000 2
4.3%
2000000000 1
2.2%
400000000 1
2.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean8839.6667
Minimum107
Maximum35935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-18T07:27:20.075133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile384.2
Q12596.75
median4007
Q39378
95-th percentile35225.05
Maximum35935
Range35828
Interquartile range (IQR)6781.25

Descriptive statistics

Standard deviation10874.409
Coefficient of variation (CV)1.2301831
Kurtosis1.589908
Mean8839.6667
Median Absolute Deviation (MAD)2746.5
Skewness1.6399558
Sum265190
Variance1.1825277 × 108
MonotonicityNot monotonic
2024-04-18T07:27:20.199672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3468 2
 
4.3%
3782 1
 
2.2%
16797 1
 
2.2%
9999 1
 
2.2%
6314 1
 
2.2%
34394 1
 
2.2%
24176 1
 
2.2%
2905 1
 
2.2%
2494 1
 
2.2%
35905 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 16
34.8%
ValueCountFrequency (%)
107 1
2.2%
368 1
2.2%
404 1
2.2%
537 1
2.2%
720 1
2.2%
821 1
2.2%
2032 1
2.2%
2494 1
2.2%
2905 1
2.2%
2963 1
2.2%
ValueCountFrequency (%)
35935 1
2.2%
35905 1
2.2%
34394 1
2.2%
24176 1
2.2%
19537 1
2.2%
18544 1
2.2%
16797 1
2.2%
9999 1
2.2%
7515 1
2.2%
6314 1
2.2%

관광숙박업상세명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
관광호텔업
27 
<NA>
14 
호스텔업
5 

Length

Max length5
Median length5
Mean length4.5869565
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 27
58.7%
<NA> 14
30.4%
호스텔업 5
 
10.9%

Length

2024-04-18T07:27:20.300426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:20.379405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 27
58.7%
na 14
30.4%
호스텔업 5
 
10.9%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
01관광숙박업03_11_01_P3410000CDFI226003201700000220171113<NA>1영업/정상13영업중<NA><NA><NA><NA>053 7193450<NA><NA>대구광역시 중구 장관동 30번지대구광역시 중구 중앙대로77길 47 (장관동)41934대구미드타운 호스텔20171123173803I2018-08-31 23:59:59.0<NA>343606.333968264294.667807관광숙박업<NA>중심상업지역7<NA><NA><NA><NA>61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>821.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>821호스텔업
12관광숙박업03_11_01_P3410000CDFI226003197500000119750304<NA>3폐업3폐업20080326<NA><NA><NA>(053)252-4101<NA>700192대구광역시 중구 종로2가 23번지대구광역시 중구 종로 37 (종로2가)<NA>쎈추럴관광호텔20080326191844I2018-08-31 23:59:59.0<NA>343650.775166264390.749311관광숙박업관광사업중심상업지역7<NA><NA><NA>숙박시설61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3782.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3782<NA>
23관광숙박업03_11_01_P3410000CDFI226003198600000119860125<NA>3폐업3폐업20111124<NA><NA><NA>(053)252-6001<NA>700210대구광역시 중구 하서동 28-1번지대구광역시 중구 국채보상로 525 (하서동)<NA>영진아미고호텔(주)20111129162851I2018-08-31 23:59:59.0<NA>343354.526127264528.32756관광숙박업관광사업중심상업지역21<NA><NA><NA>숙박시설192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18543.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18544<NA>
34관광숙박업03_11_01_P3410000CDFI226003201600000120160513<NA>3폐업3폐업20171129<NA><NA><NA><NA><NA><NA>대구광역시 중구 교동 46-17번지대구광역시 중구 교동4길 16 (교동)41910쿼츠호스텔20180731155526I2018-08-31 23:59:59.0<NA>344364.819608264864.173849관광숙박업<NA>중심상업지역2<NA><NA><NA>숙박시설2<NA>2<NA>Quartz HostelHostel<NA><NA><NA><NA><NA><NA><NA>106.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>107호스텔업
45관광숙박업03_11_01_P3410000CDFI226003201700000120170620<NA>3폐업3폐업20171010<NA><NA><NA>053 257 9898<NA><NA>대구광역시 중구 동일동 27번지대구광역시 중구 중앙대로81길 13 (동일동)419352월호텔 동성로점20171010165015I2018-08-31 23:59:59.0<NA>343783.03841264433.982314관광숙박업<NA><NA>13<NA><NA><NA><NA>112<NA><NA>HOTEL FEBRUARY DONGSUNGROHOTEL<NA><NA><NA><NA><NA><NA><NA>4894.0<NA><NA><NA><NA><NA><NA><NA><NA>20000000000<NA><NA><NA>4894관광호텔업
56관광숙박업03_11_01_P3410000CDFI226003202000000120200106<NA>1영업/정상13영업중<NA><NA><NA><NA>053-269-4000<NA><NA>대구광역시 중구 동문동 1-19번지대구광역시 중구 경상감영길 193 (동문동)41912리버틴호텔20200109133821U2020-01-11 02:40:00.0<NA>344244.280095264727.544063관광숙박업<NA>중심상업지역<NA><NA><NA>현대해상화재보험(특수건물)숙박시설81<NA><NA>RIVERTAIN HOTELTourist Hotel<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
67관광숙박업03_11_01_P3410000CDFI226003201900000320191113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-5007<NA><NA>대구광역시 중구 동문동 38-11번지대구광역시 중구 국채보상로123길 23 (동문동)41913노블스테이20191121101712U2019-11-23 02:40:00.0<NA>344166.240375264682.276864관광숙박업<NA>중심상업지역<NA><NA><NA>삼성화재 525-86-01201<NA>61513364NOBLESTAYTourist Hotel<NA><NA><NA><NA><NA><NA><NA>537.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>537관광호텔업
78관광숙박업03_11_01_P3410000CDFI226003198400000119840730<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-7711<NA>700821대구광역시 중구 동산동 360번지대구광역시 중구 달구벌대로 2033 (동산동)41931엘디스리젠트호텔20200615094918U2020-06-17 02:40:00.0<NA>343184.151781264080.683793관광숙박업관광사업중심상업지역8<NA><NA><NA>숙박시설71110<NA>Eldis Regent HotelTourist Hotel<NA><NA><NA><NA><NA><NA><NA>7515.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7515관광호텔업
89관광숙박업03_11_01_P3410000CDFI226003198900000119890131<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-2221<NA>700112대구광역시 중구 태평로2가 1-9번지대구광역시 중구 태평로 117 (태평로2가)41902유니온관광호텔20200310153252U2020-03-12 02:40:00.0<NA>343594.783952265157.612523관광숙박업관광사업중심상업지역13<NA><NA><NA>숙박시설11265<NA>Union Tourist HotelTourist Hotel<NA><NA><NA><NA><NA><NA><NA>4231.63<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4232관광호텔업
910관광숙박업03_11_01_P3410000CDFI226003200800000120080704<NA>1영업/정상13영업중<NA><NA><NA><NA>053-664-1155<NA>700733대구광역시 중구 문화동 11-1번지대구광역시 중구 국채보상로 611 (문화동)41913노보텔 앰배서더 대구20200310153310U2020-03-12 02:40:00.0<NA>344223.636477264597.611089관광숙박업관광사업중심상업지역23<NA><NA><NA>숙박시설<NA><NA>204<NA>Novotel Ambassador DaeguTourist Hotel<NA><NA><NA><NA><NA><NA><NA>35935.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35935관광호텔업
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
3637관광숙박업03_11_01_P3460000CDFI226003199000000119901219<NA>3폐업3폐업20070118<NA><NA><NA><NA><NA>706853대구광역시 수성구 황금동 847-1번지대구광역시 수성구 동대구로 115 (황금동)<NA>황금관광호텔20070118173403I2018-08-31 23:59:59.0<NA>346622.902416261277.78301관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3738관광숙박업03_11_01_P3460000CDFI226003198300000119830210<NA>3폐업3폐업20120102<NA><NA><NA><NA><NA>706820대구광역시 수성구 범어동 177-7번지대구광역시 수성구 달구벌대로 2421 (범어동)<NA>뉴영남관광호텔20120102154056I2018-08-31 23:59:59.0<NA>346946.370685263395.22446관광숙박업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6314.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6314<NA>
3839관광숙박업03_11_01_P3470000CDFI226003198900000119890414<NA>1영업/정상13영업중<NA><NA><NA><NA>053-655-7799<NA>704907대구광역시 달서구 두류동 1196-1번지대구광역시 달서구 달구벌대로 1910 (두류동)<NA>(주)크리스탈관광호텔20180115172501I2018-08-31 23:59:59.0<NA>342040.07834263570.803333관광숙박업관광사업일반상업지역12<NA><NA><NA>호텔10270<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9999.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9999관광호텔업
3940관광숙박업03_11_01_P3470000CDFI226003200400000120041015<NA>1영업/정상13영업중<NA><NA><NA><NA>053-589-6700<NA>704939대구광역시 달서구 이곡동 1198-6번지대구광역시 달서구 성서로 413 (이곡동)<NA>(주)에이더블유 호텔20190716111621U2019-07-18 02:40:00.0<NA>336028.850829262620.604122관광숙박업관광사업일반상업지역12<NA><NA><NA>호텔10254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16796.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16797관광호텔업
4041관광숙박업03_11_01_P3470000CDFI226003199000000219900514<NA>3폐업3폐업20061027<NA><NA><NA>629-5501<NA>704823대구광역시 달서구 송현동 200번지대구광역시 달서구 월배로 446 (송현동)<NA>뉴-삼일관광호텔20061027154801I2018-08-31 23:59:59.0<NA>340382.619774260327.827673관광숙박업관광사업<NA>7<NA><NA><NA><NA>16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4142관광숙박업03_11_01_P3470000CDFI226003199000000119900327<NA>3폐업3폐업20061113<NA><NA><NA>624-4000<NA>704910대구광역시 달서구 두류동 474-5번지<NA><NA>아리랑관광호텔20061113114959I2018-08-31 23:59:59.0<NA>340751.875654262797.929189관광숙박업관광사업<NA>7<NA><NA><NA><NA>61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4243관광숙박업03_11_01_P3470000CDFI226003201900000120190604<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 대곡동 1089번지대구광역시 달서구 갈밭남로 45 (대곡동)42842호텔 엘리시아20190604093924I2019-06-06 02:21:04.0<NA><NA><NA>관광숙박업<NA>준주거지역<NA><NA><NA><NA><NA>61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
4344관광숙박업03_11_01_P3480000CDFI226003200400000120041015<NA>2휴업2휴업<NA>2020021820210217<NA>053-555-7221<NA>711858대구광역시 달성군 논공읍 하리 509번지대구광역시 달성군 논공읍 약산덧재길 81711856(주)파라다이스 온천호텔20200213163551U2020-02-15 02:40:00.0<NA>328965.130661250161.463857관광숙박업관광사업<NA>4<NA><NA><NA><NA>31<NA><NA>Yaksan Spa Tourist HotelTourist Hotel<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000000<NA><NA><NA><NA>관광호텔업
4445관광숙박업03_11_01_P3480000CDFI226003201700000220170320<NA>1영업/정상13영업중<NA><NA><NA><NA>053-263-0777<NA><NA>대구광역시 달성군 구지면 내리 841-6번지대구광역시 달성군 구지면 달성2차동1로 14143013칸 호텔20180626091115I2018-08-31 23:59:59.0<NA>328508.323419239017.56085관광숙박업<NA>준공업지역8기타<NA>농협손해보험주식회사숙박시설7144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3467.96<NA><NA><NA><NA><NA><NA><NA><NA>8450000000<NA><NA><NA>3468관광호텔업
4546관광숙박업03_11_01_P3480000CDFI226003201700000120170227<NA>1영업/정상13영업중<NA><NA><NA><NA>053-263-5511<NA><NA>대구광역시 달성군 구지면 내리 841-7번지대구광역시 달성군 구지면 달성2차동1로 14543013호텔G20190401170900U2019-04-03 02:40:00.0<NA>328548.352834239016.209158관광숙박업<NA>준공업지역8기타<NA>현대해상화재보험호텔71443468<NA><NA><NA><NA><NA><NA><NA><NA><NA>3467.96<NA><NA><NA><NA><NA><NA><NA><NA>6000000000<NA><NA><NA>3468관광호텔업