Overview

Dataset statistics

Number of variables64
Number of observations46
Missing cells1307
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.1 KiB
Average record size in memory558.9 B

Variable types

Numeric16
Categorical18
Text7
Unsupported22
DateTime1

Dataset

Description6270000_대구광역시_03_11_01_P_관광숙박업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086795&dataSetDetailId=DDI_0000086837&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 (81.0%)Imbalance
휴업종료일자 is highly imbalanced (81.0%)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 39 (84.8%) missing valuesMissing
지상층수 has 12 (26.1%) missing valuesMissing
객실수 has 21 (45.7%) missing valuesMissing
건축연면적 has 35 (76.1%) missing valuesMissing
영문상호명 has 28 (60.9%) 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 15 (32.6%) 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 15 (32.6%) 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 started2023-12-10 20:06:28.615835
Analysis finished2023-12-10 20:06:29.726686
Duration1.11 second
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
2023-12-11T05:06:29.853132image/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
2023-12-11T05:06:30.044541image/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

2023-12-11T05:06:30.261058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:30.393153image/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

2023-12-11T05:06:30.523918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:30.680080image/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
2023-12-11T05:06:30.821037image/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
2023-12-11T05:06:30.986841image/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%
Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T05:06:31.296981image/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 rowCDFI2260032016000001
2nd rowCDFI2260031986000001
3rd rowCDFI2260031975000001
4th rowCDFI2260032019000003
5th rowCDFI2260032008000001
ValueCountFrequency (%)
cdfi2260031989000001 4
 
8.7%
cdfi2260032019000001 3
 
6.5%
cdfi2260031990000001 3
 
6.5%
cdfi2260032017000001 3
 
6.5%
cdfi2260031990000002 2
 
4.3%
cdfi2260032015000001 2
 
4.3%
cdfi2260031992000001 2
 
4.3%
cdfi2260032004000001 2
 
4.3%
cdfi2260032017000002 2
 
4.3%
cdfi2260032008000001 2
 
4.3%
Other values (20) 21
45.7%
2023-12-11T05:06:31.818897image/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%
5 5
 
0.7%
4 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%
5 5
 
0.7%
4 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
2023-12-11T05:06:32.039721image/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
2023-12-11T05:06:32.243348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20041015 2
 
4.3%
20160513 1
 
2.2%
19921205 1
 
2.2%
20020530 1
 
2.2%
19890311 1
 
2.2%
19980610 1
 
2.2%
19881213 1
 
2.2%
19900124 1
 
2.2%
20081217 1
 
2.2%
19901219 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

2023-12-11T05:06:32.451365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:32.601600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20200623 1
 
2.2%
Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
27 
3
16 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 27
58.7%
3 16
34.8%
2 2
 
4.3%
4 1
 
2.2%

Length

2023-12-11T05:06:32.758749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:32.906629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
58.7%
3 16
34.8%
2 2
 
4.3%
4 1
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
27 
폐업
16 
휴업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.0217391
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
58.7%
폐업 16
34.8%
휴업 2
 
4.3%
취소/말소/만료/정지/중지 1
 
2.2%

Length

2023-12-11T05:06:33.076706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:33.218096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
58.7%
폐업 16
34.8%
휴업 2
 
4.3%
취소/말소/만료/정지/중지 1
 
2.2%
Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
27 
3
16 
2
 
2
31
 
1

Length

Max length2
Median length2
Mean length1.6086957
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row3
2nd row3
3rd row3
4th row13
5th row2

Common Values

ValueCountFrequency (%)
13 27
58.7%
3 16
34.8%
2 2
 
4.3%
31 1
 
2.2%

Length

2023-12-11T05:06:33.375597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:33.522635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 27
58.7%
3 16
34.8%
2 2
 
4.3%
31 1
 
2.2%
Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
27 
폐업
16 
휴업
 
2
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6304348
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 27
58.7%
폐업 16
34.8%
휴업 2
 
4.3%
등록취소 1
 
2.2%

Length

2023-12-11T05:06:33.685477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:33.852350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 27
58.7%
폐업 16
34.8%
휴업 2
 
4.3%
등록취소 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
2023-12-11T05:06:34.002627image/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
2023-12-11T05:06:34.161679image/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%
20171129 1
 
2.2%
20111124 1
 
2.2%
20090813 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 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
20201101
 
1
20200218
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20201101

Common Values

ValueCountFrequency (%)
<NA> 44
95.7%
20201101 1
 
2.2%
20200218 1
 
2.2%

Length

2023-12-11T05:06:34.361811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:34.494609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
20201101 1
 
2.2%
20200218 1
 
2.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
20201207
 
1
20210217
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20201207

Common Values

ValueCountFrequency (%)
<NA> 44
95.7%
20201207 1
 
2.2%
20210217 1
 
2.2%

Length

2023-12-11T05:06:34.628879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:34.771171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
20201207 1
 
2.2%
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
2023-12-11T05:06:34.994111image/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 row(053)252-6001
2nd row(053)252-4101
3rd row053-421-5007
4th row053-664-1155
5th row053 257 9898
ValueCountFrequency (%)
053 4
 
8.7%
053-623-1000 1
 
2.2%
053-985-8080 1
 
2.2%
053-602-7113 1
 
2.2%
053-282-1000(1010 1
 
2.2%
559-2100 1
 
2.2%
555-3381 1
 
2.2%
628-1001 1
 
2.2%
053-471-9911 1
 
2.2%
053-380-0114 1
 
2.2%
Other values (33) 33
71.7%
2023-12-11T05:06:35.450654image/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
2023-12-11T05:06:35.652982image/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
2023-12-11T05:06:35.850280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
700192 1
 
2.2%
711858 1
 
2.2%
704910 1
 
2.2%
704907 1
 
2.2%
704823 1
 
2.2%
704939 1
 
2.2%
706801 1
 
2.2%
706802 1
 
2.2%
706820 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%
Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T05:06:36.178985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.695652
Min length18

Characters and Unicode

Total characters952
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 교동 46-17번지
2nd row대구광역시 중구 하서동 28-1번지
3rd row대구광역시 중구 종로2가 23번지
4th row대구광역시 중구 동문동 38-11번지
5th row대구광역시 중구 문화동 11-1
ValueCountFrequency (%)
대구광역시 46
24.3%
중구 13
 
6.9%
동구 13
 
6.9%
수성구 7
 
3.7%
달서구 5
 
2.6%
달성군 3
 
1.6%
동문동 3
 
1.6%
상매동 3
 
1.6%
용수동 3
 
1.6%
신천동 3
 
1.6%
Other values (82) 90
47.6%
2023-12-11T05:06:36.750525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
19.9%
91
 
9.6%
59
 
6.2%
48
 
5.0%
46
 
4.8%
46
 
4.8%
46
 
4.8%
38
 
4.0%
1 36
 
3.8%
35
 
3.7%
Other values (71) 318
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
58.5%
Space Separator 189
 
19.9%
Decimal Number 171
 
18.0%
Dash Punctuation 35
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
91
16.3%
59
10.6%
48
 
8.6%
46
 
8.3%
46
 
8.3%
46
 
8.3%
38
 
6.8%
35
 
6.3%
13
 
2.3%
11
 
2.0%
Other values (59) 124
22.3%
Decimal Number
ValueCountFrequency (%)
1 36
21.1%
0 22
12.9%
8 16
9.4%
6 16
9.4%
9 16
9.4%
2 15
8.8%
4 13
 
7.6%
3 13
 
7.6%
5 12
 
7.0%
7 12
 
7.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
58.5%
Common 395
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
91
16.3%
59
10.6%
48
 
8.6%
46
 
8.3%
46
 
8.3%
46
 
8.3%
38
 
6.8%
35
 
6.3%
13
 
2.3%
11
 
2.0%
Other values (59) 124
22.3%
Common
ValueCountFrequency (%)
189
47.8%
1 36
 
9.1%
- 35
 
8.9%
0 22
 
5.6%
8 16
 
4.1%
6 16
 
4.1%
9 16
 
4.1%
2 15
 
3.8%
4 13
 
3.3%
3 13
 
3.3%
Other values (2) 24
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
58.5%
ASCII 395
41.5%

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%
6 16
 
4.1%
9 16
 
4.1%
2 15
 
3.8%
4 13
 
3.3%
3 13
 
3.3%
Other values (2) 24
 
6.1%
Hangul
ValueCountFrequency (%)
91
16.3%
59
10.6%
48
 
8.6%
46
 
8.3%
46
 
8.3%
46
 
8.3%
38
 
6.8%
35
 
6.3%
13
 
2.3%
11
 
2.0%
Other values (59) 124
22.3%

도로명전체주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
2023-12-11T05:06:37.155992image/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 교동4길 16 (교동)
2nd row대구광역시 중구 국채보상로 525 (하서동)
3rd row대구광역시 중구 종로 37 (종로2가)
4th row대구광역시 중구 국채보상로123길 23 (동문동)
5th row대구광역시 중구 국채보상로 611 (문화동)
ValueCountFrequency (%)
대구광역시 45
 
19.4%
중구 13
 
5.6%
동구 13
 
5.6%
수성구 7
 
3.0%
달서구 4
 
1.7%
동대구로 3
 
1.3%
달구벌대로 3
 
1.3%
달성군 3
 
1.3%
동문동 3
 
1.3%
용수동 3
 
1.3%
Other values (117) 135
58.2%
2023-12-11T05:06:37.711780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
17.6%
96
 
8.6%
71
 
6.4%
56
 
5.0%
46
 
4.1%
45
 
4.0%
45
 
4.0%
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 (%)
96
14.1%
71
 
10.4%
56
 
8.2%
46
 
6.8%
45
 
6.6%
45
 
6.6%
44
 
6.5%
17
 
2.5%
15
 
2.2%
14
 
2.1%
Other values (95) 231
34.0%
Decimal Number
ValueCountFrequency (%)
1 43
29.5%
2 20
13.7%
5 14
 
9.6%
4 14
 
9.6%
3 14
 
9.6%
7 11
 
7.5%
0 10
 
6.8%
6 10
 
6.8%
9 5
 
3.4%
8 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 (%)
96
14.1%
71
 
10.4%
56
 
8.2%
46
 
6.8%
45
 
6.6%
45
 
6.6%
44
 
6.5%
17
 
2.5%
15
 
2.2%
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%
5 14
 
3.2%
4 14
 
3.2%
3 14
 
3.2%
7 11
 
2.5%
0 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%
5 14
 
3.2%
4 14
 
3.2%
3 14
 
3.2%
7 11
 
2.5%
0 10
 
2.3%
Other values (5) 27
 
6.2%
Hangul
ValueCountFrequency (%)
96
14.1%
71
 
10.4%
56
 
8.2%
46
 
6.8%
45
 
6.6%
45
 
6.6%
44
 
6.5%
17
 
2.5%
15
 
2.2%
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
2023-12-11T05:06:37.906933image/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
2023-12-11T05:06:38.074081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
41913 3
 
6.5%
41059 3
 
6.5%
41007 2
 
4.3%
43013 2
 
4.3%
41159 1
 
2.2%
711856 1
 
2.2%
42842 1
 
2.2%
42175 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
2023-12-11T05:06:38.375043image/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 row쿼츠호스텔
2nd row영진아미고호텔(주)
3rd row쎈추럴관광호텔
4th row노블스테이
5th row노보텔 앰배서더 대구
ValueCountFrequency (%)
호텔 6
 
8.6%
주)호텔 3
 
4.3%
호스텔 2
 
2.9%
쿼츠호스텔 1
 
1.4%
엑스코 1
 
1.4%
팔공산온천관광호텔 1
 
1.4%
1
 
1.4%
퀸벨호텔 1
 
1.4%
주)뉴대구호텔 1
 
1.4%
엠파이어관광호텔 1
 
1.4%
Other values (52) 52
74.3%
2023-12-11T05:06:38.890546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
10.9%
42
 
10.6%
24
 
6.1%
( 15
 
3.8%
) 15
 
3.8%
14
 
3.5%
13
 
3.3%
12
 
3.0%
11
 
2.8%
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%
Open Punctuation 15
 
3.8%
Close 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 (%)
43
 
13.6%
42
 
13.2%
14
 
4.4%
13
 
4.1%
12
 
3.8%
11
 
3.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (93) 155
48.9%
Lowercase Letter
ValueCountFrequency (%)
l 4
23.5%
a 2
11.8%
g 2
11.8%
o 2
11.8%
i 2
11.8%
n 1
 
5.9%
m 1
 
5.9%
t 1
 
5.9%
e 1
 
5.9%
s 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
G 1
25.0%
H 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close 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 (%)
43
 
13.6%
42
 
13.2%
14
 
4.4%
13
 
4.1%
12
 
3.8%
11
 
3.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (93) 155
48.9%
Latin
ValueCountFrequency (%)
l 4
19.0%
a 2
9.5%
g 2
9.5%
o 2
9.5%
i 2
9.5%
P 1
 
4.8%
G 1
 
4.8%
H 1
 
4.8%
n 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 (%)
43
 
13.6%
42
 
13.2%
14
 
4.4%
13
 
4.1%
12
 
3.8%
11
 
3.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (93) 155
48.9%
ASCII
ValueCountFrequency (%)
24
30.8%
( 15
19.2%
) 15
19.2%
l 4
 
5.1%
a 2
 
2.6%
g 2
 
2.6%
o 2
 
2.6%
i 2
 
2.6%
P 1
 
1.3%
G 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%
Mean2.016824 × 1013
Minimum2.0060608 × 1013
Maximum2.020113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T05:06:39.437124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060608 × 1013
5-th percentile2.0063364 × 1013
Q12.0171038 × 1013
median2.0190862 × 1013
Q32.0200543 × 1013
95-th percentile2.0201116 × 1013
Maximum2.020113 × 1013
Range1.4052198 × 1011
Interquartile range (IQR)2.950443 × 1010

Descriptive statistics

Standard deviation4.8306273 × 1010
Coefficient of variation (CV)0.0023951655
Kurtosis0.25080908
Mean2.016824 × 1013
Median Absolute Deviation (MAD)1.0092992 × 1010
Skewness-1.3616732
Sum9.2773905 × 1014
Variance2.333496 × 1021
MonotonicityNot monotonic
2023-12-11T05:06:39.671191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20180731155526 1
 
2.2%
20120102154056 1
 
2.2%
20180515092001 1
 
2.2%
20060608171721 1
 
2.2%
20190801140600 1
 
2.2%
20200211135439 1
 
2.2%
20200702113848 1
 
2.2%
20070118173403 1
 
2.2%
20201124113934 1
 
2.2%
20200318134254 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 (%)
20201130155309 1
2.2%
20201124113934 1
2.2%
20201118155644 1
2.2%
20201110091735 1
2.2%
20201014154525 1
2.2%
20200806142126 1
2.2%
20200702113848 1
2.2%
20200629104518 1
2.2%
20200629095741 1
2.2%
20200629091708 1
2.2%
Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
26 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 26
56.5%
I 20
43.5%

Length

2023-12-11T05:06:39.862690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:39.978862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 26
56.5%
i 20
43.5%
Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2020-12-02 02:40:00
2023-12-11T05:06:40.089848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:06:40.239530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

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
2023-12-11T05:06:40.399798image/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
2023-12-11T05:06:40.593956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
344364.819608 1
 
2.2%
346741.524474 1
 
2.2%
350017.050041 1
 
2.2%
340481.164687 1
 
2.2%
341937.139309 1
 
2.2%
343216.888499 1
 
2.2%
344280.758889 1
 
2.2%
345396.560356 1
 
2.2%
346622.902416 1
 
2.2%
346507.147444 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
2023-12-11T05:06:40.752195image/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
2023-12-11T05:06:40.928129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
264864.173849 1
 
2.2%
263179.794654 1
 
2.2%
265964.899542 1
 
2.2%
263539.732811 1
 
2.2%
265463.585518 1
 
2.2%
262962.037923 1
 
2.2%
261404.052274 1
 
2.2%
268598.942833 1
 
2.2%
261277.78301 1
 
2.2%
262714.226889 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

2023-12-11T05:06:41.090951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:41.190010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 46
100.0%
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 row관광사업

Common Values

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

Length

2023-12-11T05:06:41.321426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:41.448717image/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
상업지역
 
2
근린상업지역
 
2
Other values (3)

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 row중심상업지역

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

2023-12-11T05:06:41.606354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:41.744205image/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
2023-12-11T05:06:41.865982image/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
2023-12-11T05:06:41.977728image/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%
6 2
 
4.3%
4 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

2023-12-11T05:06:42.125072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:42.225662image/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 

Distinct6
Distinct (%)85.7%
Missing39
Missing (%)84.8%
Memory size500.0 B
2023-12-11T05:06:42.377602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.142857
Min length6

Characters and Unicode

Total characters71
Distinct characters37
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st row삼성화재 525-86-01201
2nd row현대해상화재보험
3rd row현대해상화재보험(특수건물)
4th row재난배상책임보험
5th rowDB손해보험
ValueCountFrequency (%)
현대해상화재보험 2
25.0%
삼성화재 1
12.5%
525-86-01201 1
12.5%
현대해상화재보험(특수건물 1
12.5%
재난배상책임보험 1
12.5%
db손해보험 1
12.5%
농협손해보험주식회사 1
12.5%
2023-12-11T05:06:42.692261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
8.5%
6
 
8.5%
5
 
7.0%
5
 
7.0%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
- 2
 
2.8%
2
 
2.8%
Other values (27) 31
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
76.1%
Decimal Number 10
 
14.1%
Dash Punctuation 2
 
2.8%
Uppercase Letter 2
 
2.8%
Open Punctuation 1
 
1.4%
Close Punctuation 1
 
1.4%
Space Separator 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
11.1%
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
3
 
5.6%
2
 
3.7%
1
 
1.9%
Other values (15) 15
27.8%
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%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
76.1%
Common 15
 
21.1%
Latin 2
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
11.1%
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
3
 
5.6%
2
 
3.7%
1
 
1.9%
Other values (15) 15
27.8%
Common
ValueCountFrequency (%)
- 2
13.3%
1 2
13.3%
0 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%
Latin
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
76.1%
ASCII 17
 
23.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
11.1%
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
3
 
5.6%
2
 
3.7%
1
 
1.9%
Other values (15) 15
27.8%
ASCII
ValueCountFrequency (%)
- 2
11.8%
1 2
11.8%
0 2
11.8%
2 2
11.8%
5 2
11.8%
B 1
5.9%
D 1
5.9%
( 1
5.9%
) 1
5.9%
6 1
5.9%
Other values (2) 2
11.8%

건물용도명
Categorical

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

Length

Max length4
Median length4
Mean length3.5869565
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

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

Length

2023-12-11T05:06:42.888718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:43.028339image/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
2023-12-11T05:06:43.151649image/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
2023-12-11T05:06:43.268620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7 6
13.0%
6 5
10.9%
10 4
 
8.7%
8 4
 
8.7%
11 3
 
6.5%
2 2
 
4.3%
5 2
 
4.3%
3 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
4
5
 
1

Length

Max length4
Median length1
Mean length1.9130435
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

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

2023-12-11T05:06:43.415126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:43.531400image/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 

Distinct21
Distinct (%)84.0%
Missing21
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean76.32
Minimum2
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T05:06:43.699354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q144
median51
Q370
95-th percentile212.8
Maximum303
Range301
Interquartile range (IQR)26

Descriptive statistics

Standard deviation72.413005
Coefficient of variation (CV)0.94880772
Kurtosis3.3497197
Mean76.32
Median Absolute Deviation (MAD)14
Skewness1.9254454
Sum1908
Variance5243.6433
MonotonicityNot monotonic
2023-12-11T05:06:43.868803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
51 4
 
8.7%
44 2
 
4.3%
70 1
 
2.2%
54 1
 
2.2%
61 1
 
2.2%
180 1
 
2.2%
303 1
 
2.2%
62 1
 
2.2%
36 1
 
2.2%
38 1
 
2.2%
Other values (11) 11
23.9%
(Missing) 21
45.7%
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%
180 1
2.2%
110 1
2.2%
72 1
2.2%
70 1
2.2%
65 1
2.2%
62 1
2.2%
61 1
2.2%

건축연면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing35
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean17967.727
Minimum572
Maximum49964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T05:06:44.022131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum572
5-th percentile1767.5
Q13416
median8115
Q328368
95-th percentile48549.5
Maximum49964
Range49392
Interquartile range (IQR)24952

Descriptive statistics

Standard deviation18448.607
Coefficient of variation (CV)1.0267635
Kurtosis-0.78171108
Mean17967.727
Median Absolute Deviation (MAD)7543
Skewness0.89153357
Sum197645
Variance3.403511 × 108
MonotonicityNot monotonic
2023-12-11T05:06:44.151139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3364 1
 
2.2%
20831 1
 
2.2%
572 1
 
2.2%
5791 1
 
2.2%
35905 1
 
2.2%
2963 1
 
2.2%
19537 1
 
2.2%
8115 1
 
2.2%
49964 1
 
2.2%
47135 1
 
2.2%
(Missing) 35
76.1%
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%
47135 1
2.2%
ValueCountFrequency (%)
49964 1
2.2%
47135 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%

영문상호명
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing28
Missing (%)60.9%
Memory size500.0 B
2023-12-11T05:06:44.367122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length20.444444
Min length9

Characters and Unicode

Total characters368
Distinct characters51
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

Unique18 ?
Unique (%)100.0%

Sample

1st rowQuartz Hostel
2nd rowNOBLESTAY
3rd rowNovotel Ambassador Daegu
4th rowHOTEL FEBRUARY DONGSUNGRO
5th rowEldis Regent Hotel
ValueCountFrequency (%)
hotel 11
21.2%
tourist 3
 
5.8%
hostel 3
 
5.8%
daegu 2
 
3.8%
co.ltd 2
 
3.8%
union 1
 
1.9%
queen-vell 1
 
1.9%
development 1
 
1.9%
co 1
 
1.9%
ltd 1
 
1.9%
Other values (26) 26
50.0%
2023-12-11T05:06:44.825128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
9.5%
E 24
 
6.5%
o 22
 
6.0%
O 22
 
6.0%
t 19
 
5.2%
e 18
 
4.9%
H 16
 
4.3%
N 15
 
4.1%
T 15
 
4.1%
l 14
 
3.8%
Other values (41) 168
45.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 178
48.4%
Lowercase Letter 144
39.1%
Space Separator 35
 
9.5%
Other Punctuation 9
 
2.4%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 24
13.5%
O 22
12.4%
H 16
 
9.0%
N 15
 
8.4%
T 15
 
8.4%
L 14
 
7.9%
A 8
 
4.5%
R 7
 
3.9%
S 7
 
3.9%
Y 6
 
3.4%
Other values (16) 44
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 22
15.3%
t 19
13.2%
e 18
12.5%
l 14
9.7%
s 12
8.3%
n 9
6.2%
a 8
 
5.6%
r 7
 
4.9%
u 7
 
4.9%
i 7
 
4.9%
Other values (10) 21
14.6%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 2
 
22.2%
' 2
 
22.2%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 322
87.5%
Common 46
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 24
 
7.5%
o 22
 
6.8%
O 22
 
6.8%
t 19
 
5.9%
e 18
 
5.6%
H 16
 
5.0%
N 15
 
4.7%
T 15
 
4.7%
l 14
 
4.3%
L 14
 
4.3%
Other values (36) 143
44.4%
Common
ValueCountFrequency (%)
35
76.1%
. 5
 
10.9%
, 2
 
4.3%
' 2
 
4.3%
- 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
 
9.5%
E 24
 
6.5%
o 22
 
6.0%
O 22
 
6.0%
t 19
 
5.2%
e 18
 
4.9%
H 16
 
4.3%
N 15
 
4.1%
T 15
 
4.1%
l 14
 
3.8%
Other values (41) 168
45.7%
Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
28 
Tourist Hotel
14 
Hostel
 
2
HOTEL
 
1
Tourist Hostel
 
1

Length

Max length14
Median length4
Mean length7.0652174
Min length4

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
60.9%
Tourist Hotel 14
30.4%
Hostel 2
 
4.3%
HOTEL 1
 
2.2%
Tourist Hostel 1
 
2.2%

Length

2023-12-11T05:06:45.032605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:45.180283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
45.9%
tourist 15
24.6%
hotel 15
24.6%
hostel 3
 
4.9%

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 

Distinct30
Distinct (%)96.8%
Missing15
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean9126.7906
Minimum106.98
Maximum47135.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T05:06:45.312029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106.98
5-th percentile386.155
Q12699.675
median4231.63
Q38757.095
95-th percentile35919.93
Maximum47135.44
Range47028.46
Interquartile range (IQR)6057.42

Descriptive statistics

Standard deviation11909.424
Coefficient of variation (CV)1.3048863
Kurtosis3.2338245
Mean9126.7906
Median Absolute Deviation (MAD)2199.31
Skewness1.9582675
Sum282930.51
Variance1.4183437 × 108
MonotonicityNot monotonic
2023-12-11T05:06:45.487864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3467.96 2
 
4.3%
3223.32 1
 
2.2%
9999.02 1
 
2.2%
16796.6 1
 
2.2%
4998.76 1
 
2.2%
2905.0 1
 
2.2%
47135.44 1
 
2.2%
6314.0 1
 
2.2%
24175.79 1
 
2.2%
2494.35 1
 
2.2%
Other values (20) 20
43.5%
(Missing) 15
32.6%
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 (%)
47135.44 1
2.2%
35935.16 1
2.2%
35904.7 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
2023-12-11T05:06:45.665417image/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
2023-12-11T05:06:45.851842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6000000000 2
 
4.3%
20000000000 1
 
2.2%
9000000000 1
 
2.2%
400000000 1
 
2.2%
8450000000 1
 
2.2%
2000000000 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 

Distinct30
Distinct (%)96.8%
Missing15
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean9126.7742
Minimum107
Maximum47135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T05:06:46.017509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile386
Q12699.5
median4232
Q38757
95-th percentile35920
Maximum47135
Range47028
Interquartile range (IQR)6057.5

Descriptive statistics

Standard deviation11909.428
Coefficient of variation (CV)1.3048891
Kurtosis3.2336654
Mean9126.7742
Median Absolute Deviation (MAD)2200
Skewness1.9582344
Sum282930
Variance1.4183448 × 108
MonotonicityNot monotonic
2023-12-11T05:06:46.215906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3468 2
 
4.3%
3223 1
 
2.2%
9999 1
 
2.2%
16797 1
 
2.2%
4999 1
 
2.2%
2905 1
 
2.2%
47135 1
 
2.2%
6314 1
 
2.2%
24176 1
 
2.2%
2494 1
 
2.2%
Other values (20) 20
43.5%
(Missing) 15
32.6%
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 (%)
47135 1
2.2%
35935 1
2.2%
35905 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%
Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
관광호텔업
27 
<NA>
14 
호스텔업

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 row관광호텔업
5th row관광호텔업

Common Values

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

Length

2023-12-11T05:06:46.396523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:06:46.560170image/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_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
12관광숙박업03_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>
23관광숙박업03_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>
34관광숙박업03_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
45관광숙박업03_11_01_P3410000CDFI226003200800000120080704<NA>2휴업2휴업<NA>2020110120201207<NA>053-664-1155<NA>700733대구광역시 중구 문화동 11-1대구광역시 중구 국채보상로 611 (문화동)41913노보텔 앰배서더 대구20201118155644U2020-11-20 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
56관광숙박업03_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
67관광숙박업03_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
78관광숙박업03_11_01_P3410000CDFI226003201900000120190430<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-1045<NA><NA>대구광역시 중구 동성로3가 91-9번지대구광역시 중구 동성로1길 15 (동성로3가)41942토요코인 대구동성로20200310153352U2020-03-12 02:40:00.0<NA>343953.307958264160.857919관광숙박업<NA>중심상업지역12<NA><NA><NA>숙박시설10221520831TOYOKO INN KOREA CO.,LTDTourist Hotel<NA><NA><NA><NA><NA><NA><NA>2032.32<NA><NA><NA><NA><NA><NA><NA><NA>9000000000<NA><NA><NA>2032관광호텔업
89관광숙박업03_11_01_P3410000CDFI226003201900000220190513<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-8666<NA><NA>대구광역시 중구 인교동 270번지대구광역시 중구 북성로4길 61 (인교동)41921경's 호스텔20190513174442I2019-05-15 02:21:01.0<NA>343148.565978264649.873327관광숙박업<NA><NA>6<NA><NA>현대해상화재보험여인숙5116572KYEONG's HOSTELTourist Hostel<NA><NA><NA><NA><NA><NA><NA>404.24<NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA>404호스텔업
910관광숙박업03_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
3637관광숙박업03_11_01_P3460000CDFI226003196400000119641216<NA>1영업/정상13영업중<NA><NA><NA><NA>763-7311<NA>706802대구광역시 수성구 두산동 888-2대구광역시 수성구 용학로 106-7 (두산동)42217(주)호텔 수성20201130155309U2020-12-02 02:40:00.0<NA>346271.979582259441.744147관광숙박업관광사업<NA>5<NA><NA>DB손해보험<NA>4118047135HOTEL.SUSEONG Co.LtdTourist Hotel<NA><NA><NA><NA><NA><NA><NA>47135.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47135관광호텔업
3738관광숙박업03_11_01_P3460000CDFI226003199000000219900530<NA>1영업/정상13영업중<NA><NA><NA><NA>765-7776<NA>706801대구광역시 수성구 두산동 199-1번지대구광역시 수성구 동대구로 27 (두산동)42175호텔아리아나20200318134953U2020-03-20 02:40:00.0<NA>346576.826067260428.96631관광숙박업관광사업<NA>1<NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2905.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2905관광호텔업
3839관광숙박업03_11_01_P3470000CDFI226003201900000120190604<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 대곡동 1089대구광역시 달서구 갈밭남로 45 (대곡동)42842호텔 엘리시아20201110091735U2020-11-12 02:40:00.0<NA><NA><NA>관광숙박업<NA>준주거지역<NA><NA><NA><NA><NA>6161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4998.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4999관광호텔업
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_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
4243관광숙박업03_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>
4344관광숙박업03_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
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_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