Overview

Dataset statistics

Number of variables64
Number of observations51
Missing cells1113
Missing cells (%)34.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 KiB
Average record size in memory558.6 B

Variable types

Numeric17
Categorical23
Text7
Unsupported16
DateTime1

Dataset

Description22년04월_6270000_대구광역시_03_11_01_P_관광숙박업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093005&dataSetDetailId=DDI_0000093047&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.1%)Imbalance
휴업시작일자 is highly imbalanced (82.5%)Imbalance
휴업종료일자 is highly imbalanced (82.5%)Imbalance
주변환경명 is highly imbalanced (62.2%)Imbalance
폐업일자 has 35 (68.6%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
소재지전화 has 10 (19.6%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
소재지우편번호 has 24 (47.1%) missing valuesMissing
도로명전체주소 has 1 (2.0%) missing valuesMissing
도로명우편번호 has 15 (29.4%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
총층수 has 16 (31.4%) missing valuesMissing
제작취급품목내용 has 51 (100.0%) missing valuesMissing
보험기관명 has 39 (76.5%) missing valuesMissing
지상층수 has 12 (23.5%) missing valuesMissing
지하층수 has 14 (27.5%) missing valuesMissing
객실수 has 15 (29.4%) missing valuesMissing
건축연면적 has 29 (56.9%) missing valuesMissing
영문상호명 has 31 (60.8%) missing valuesMissing
선박제원 has 51 (100.0%) missing valuesMissing
기념품종류 has 51 (100.0%) missing valuesMissing
시설면적 has 11 (21.6%) missing valuesMissing
놀이기구수내역 has 51 (100.0%) missing valuesMissing
방송시설유무 has 51 (100.0%) missing valuesMissing
발전시설유무 has 51 (100.0%) missing valuesMissing
의무실유무 has 51 (100.0%) missing valuesMissing
안내소유무 has 51 (100.0%) missing valuesMissing
기획여행보험시작일자 has 51 (100.0%) missing valuesMissing
기획여행보험종료일자 has 51 (100.0%) missing valuesMissing
자본금 has 32 (62.7%) missing valuesMissing
보험시작일자 has 51 (100.0%) missing valuesMissing
보험종료일자 has 51 (100.0%) missing valuesMissing
부대시설내역 has 51 (100.0%) missing valuesMissing
시설규모 has 11 (21.6%) 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
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 2 (3.9%) zerosZeros
지하층수 has 1 (2.0%) zerosZeros
객실수 has 1 (2.0%) zerosZeros
건축연면적 has 5 (9.8%) zerosZeros
시설면적 has 4 (7.8%) zerosZeros
자본금 has 9 (17.6%) zerosZeros
시설규모 has 4 (7.8%) zerosZeros

Reproduction

Analysis started2023-12-10 20:55:24.297574
Analysis finished2023-12-10 20:55:25.290719
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:25.417346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-11T05:55:25.687708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
관광숙박업
51 

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 51
100.0%

Length

2023-12-11T05:55:25.911044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:26.118959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 51
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
03_11_01_P
51 

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 51
100.0%

Length

2023-12-11T05:55:26.362279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:26.578856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_01_p 51
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3433529.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:26.793153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13415000
median3420000
Q33460000
95-th percentile3475000
Maximum3480000
Range70000
Interquartile range (IQR)45000

Descriptive statistics

Standard deviation23985.29
Coefficient of variation (CV)0.0069856077
Kurtosis-1.0828784
Mean3433529.4
Median Absolute Deviation (MAD)10000
Skewness0.70479533
Sum1.7511 × 108
Variance5.7529412 × 108
MonotonicityIncreasing
2023-12-11T05:55:27.010134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3420000 17
33.3%
3410000 13
25.5%
3460000 7
13.7%
3470000 5
 
9.8%
3440000 3
 
5.9%
3480000 3
 
5.9%
3430000 2
 
3.9%
3450000 1
 
2.0%
ValueCountFrequency (%)
3410000 13
25.5%
3420000 17
33.3%
3430000 2
 
3.9%
3440000 3
 
5.9%
3450000 1
 
2.0%
3460000 7
13.7%
3470000 5
 
9.8%
3480000 3
 
5.9%
ValueCountFrequency (%)
3480000 3
 
5.9%
3470000 5
 
9.8%
3460000 7
13.7%
3450000 1
 
2.0%
3440000 3
 
5.9%
3430000 2
 
3.9%
3420000 17
33.3%
3410000 13
25.5%
Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T05:55:27.388013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1020
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

Unique22 ?
Unique (%)43.1%

Sample

1st rowCDFI2260031989000001
2nd rowCDFI2260031975000001
3rd rowCDFI2260031986000001
4th rowCDFI2260032016000001
5th rowCDFI2260032017000001
ValueCountFrequency (%)
cdfi2260031989000001 4
 
7.8%
cdfi2260032017000001 3
 
5.9%
cdfi2260032019000001 3
 
5.9%
cdfi2260031990000001 3
 
5.9%
cdfi2260032008000001 2
 
3.9%
cdfi2260031992000001 2
 
3.9%
cdfi2260032021000001 2
 
3.9%
cdfi2260031990000002 2
 
3.9%
cdfi2260032017000002 2
 
3.9%
cdfi2260032004000001 2
 
3.9%
Other values (24) 26
51.0%
2023-12-11T05:55:27.893055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 406
39.8%
2 156
 
15.3%
1 75
 
7.4%
3 56
 
5.5%
6 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
I 51
 
5.0%
9 38
 
3.7%
Other values (4) 31
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
80.0%
Uppercase Letter 204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 406
49.8%
2 156
 
19.1%
1 75
 
9.2%
3 56
 
6.9%
6 54
 
6.6%
9 38
 
4.7%
8 14
 
1.7%
7 6
 
0.7%
4 6
 
0.7%
5 5
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
I 51
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
80.0%
Latin 204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 406
49.8%
2 156
 
19.1%
1 75
 
9.2%
3 56
 
6.9%
6 54
 
6.6%
9 38
 
4.7%
8 14
 
1.7%
7 6
 
0.7%
4 6
 
0.7%
5 5
 
0.6%
Latin
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
I 51
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 406
39.8%
2 156
 
15.3%
1 75
 
7.4%
3 56
 
5.5%
6 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
I 51
 
5.0%
9 38
 
3.7%
Other values (4) 31
 
3.0%

인허가일자
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20034737
Minimum19641216
Maximum20211230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:28.136781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641216
5-th percentile19835470
Q119900226
median20041015
Q320180772
95-th percentile20210374
Maximum20211230
Range570014
Interquartile range (IQR)280546

Descriptive statistics

Standard deviation149996.69
Coefficient of variation (CV)0.0074868309
Kurtosis-0.83769902
Mean20034737
Median Absolute Deviation (MAD)140891
Skewness-0.41668397
Sum1.0217716 × 109
Variance2.2499007 × 1010
MonotonicityNot monotonic
2023-12-11T05:55:28.350133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041015 2
 
3.9%
19890131 1
 
2.0%
19900530 1
 
2.0%
19890320 1
 
2.0%
19851121 1
 
2.0%
19980610 1
 
2.0%
19890311 1
 
2.0%
19900124 1
 
2.0%
19881213 1
 
2.0%
20211230 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
19641216 1
2.0%
19750304 1
2.0%
19830210 1
2.0%
19840730 1
2.0%
19851121 1
2.0%
19860125 1
2.0%
19881213 1
2.0%
19890131 1
2.0%
19890311 1
2.0%
19890320 1
2.0%
ValueCountFrequency (%)
20211230 1
2.0%
20211018 1
2.0%
20210621 1
2.0%
20210127 1
2.0%
20210106 1
2.0%
20200423 1
2.0%
20200131 1
2.0%
20200106 1
2.0%
20191113 1
2.0%
20191016 1
2.0%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
20200623
 
1

Length

Max length8
Median length4
Mean length4.0784314
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
20200623 1
 
2.0%

Length

2023-12-11T05:55:28.593876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:28.790909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
20200623 1
 
2.0%
Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
32 
3
16 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
62.7%
3 16
31.4%
2 2
 
3.9%
4 1
 
2.0%

Length

2023-12-11T05:55:28.974436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:29.144617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
62.7%
3 16
31.4%
2 2
 
3.9%
4 1
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
32 
폐업
16 
휴업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1176471
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
62.7%
폐업 16
31.4%
휴업 2
 
3.9%
취소/말소/만료/정지/중지 1
 
2.0%

Length

2023-12-11T05:55:29.401451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:29.625154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
62.7%
폐업 16
31.4%
휴업 2
 
3.9%
취소/말소/만료/정지/중지 1
 
2.0%
Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
13
32 
3
16 
2
 
2
31
 
1

Length

Max length2
Median length2
Mean length1.6470588
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 32
62.7%
3 16
31.4%
2 2
 
3.9%
31 1
 
2.0%

Length

2023-12-11T05:55:29.942671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:30.163524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
62.7%
3 16
31.4%
2 2
 
3.9%
31 1
 
2.0%
Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업중
32 
폐업
16 
휴업
 
2
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6666667
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
62.7%
폐업 16
31.4%
휴업 2
 
3.9%
등록취소 1
 
2.0%

Length

2023-12-11T05:55:30.443682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:30.656100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
62.7%
폐업 16
31.4%
휴업 2
 
3.9%
등록취소 1
 
2.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing35
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean20115653
Minimum20060608
Maximum20190801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:30.840024image/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
2023-12-11T05:55:31.085016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20060608 1
 
2.0%
20061113 1
 
2.0%
20061027 1
 
2.0%
20070118 1
 
2.0%
20120102 1
 
2.0%
20190801 1
 
2.0%
20180430 1
 
2.0%
20080326 1
 
2.0%
20111124 1
 
2.0%
20090813 1
 
2.0%
Other values (6) 6
 
11.8%
(Missing) 35
68.6%
ValueCountFrequency (%)
20060608 1
2.0%
20061027 1
2.0%
20061113 1
2.0%
20070118 1
2.0%
20070222 1
2.0%
20080326 1
2.0%
20090813 1
2.0%
20100601 1
2.0%
20111124 1
2.0%
20120102 1
2.0%
ValueCountFrequency (%)
20190801 1
2.0%
20180430 1
2.0%
20180103 1
2.0%
20171129 1
2.0%
20171010 1
2.0%
20130916 1
2.0%
20120102 1
2.0%
20111124 1
2.0%
20100601 1
2.0%
20090813 1
2.0%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
20210701
 
1
20220218
 
1

Length

Max length8
Median length4
Mean length4.1568627
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row20210701
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
96.1%
20210701 1
 
2.0%
20220218 1
 
2.0%

Length

2023-12-11T05:55:31.386994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:31.632197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
20210701 1
 
2.0%
20220218 1
 
2.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
20220630
 
1
20230217
 
1

Length

Max length8
Median length4
Mean length4.1568627
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row20220630
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
96.1%
20220630 1
 
2.0%
20230217 1
 
2.0%

Length

2023-12-11T05:55:31.879562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:32.114673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
20220630 1
 
2.0%
20230217 1
 
2.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지전화
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing10
Missing (%)19.6%
Memory size540.0 B
2023-12-11T05:55:32.430333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.170732
Min length8

Characters and Unicode

Total characters458
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

Unique41 ?
Unique (%)100.0%

Sample

1st row053-252-2221
2nd row(053)252-4101
3rd row(053)252-6001
4th row053 257 9898
5th row053-253-7711
ValueCountFrequency (%)
053 4
 
8.3%
053-428-1045 1
 
2.1%
765-7776 1
 
2.1%
053-263-5511 1
 
2.1%
742-0001 1
 
2.1%
555-3381 1
 
2.1%
559-2100 1
 
2.1%
053-471-9911 1
 
2.1%
628-1001 1
 
2.1%
053-218-6655 1
 
2.1%
Other values (35) 35
72.9%
2023-12-11T05:55:33.056058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88
19.2%
5 66
14.4%
- 60
13.1%
3 48
10.5%
1 42
9.2%
2 37
8.1%
7 30
 
6.6%
6 25
 
5.5%
8 20
 
4.4%
4 15
 
3.3%
Other values (4) 27
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 385
84.1%
Dash Punctuation 60
 
13.1%
Space Separator 7
 
1.5%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
22.9%
5 66
17.1%
3 48
12.5%
1 42
10.9%
2 37
9.6%
7 30
 
7.8%
6 25
 
6.5%
8 20
 
5.2%
4 15
 
3.9%
9 14
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
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 458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88
19.2%
5 66
14.4%
- 60
13.1%
3 48
10.5%
1 42
9.2%
2 37
8.1%
7 30
 
6.6%
6 25
 
5.5%
8 20
 
4.4%
4 15
 
3.3%
Other values (4) 27
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88
19.2%
5 66
14.4%
- 60
13.1%
3 48
10.5%
1 42
9.2%
2 37
8.1%
7 30
 
6.6%
6 25
 
5.5%
8 20
 
4.4%
4 15
 
3.3%
Other values (4) 27
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing24
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean703722.96
Minimum700112
Maximum711858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:33.277038image/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
2023-12-11T05:55:33.500466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
700192 1
 
2.0%
711858 1
 
2.0%
704910 1
 
2.0%
704823 1
 
2.0%
704907 1
 
2.0%
704939 1
 
2.0%
706853 1
 
2.0%
706824 1
 
2.0%
706801 1
 
2.0%
706802 1
 
2.0%
Other values (17) 17
33.3%
(Missing) 24
47.1%
ValueCountFrequency (%)
700112 1
2.0%
700192 1
2.0%
700210 1
2.0%
700733 1
2.0%
700821 1
2.0%
701050 1
2.0%
701440 1
2.0%
701801 1
2.0%
701823 1
2.0%
701827 1
2.0%
ValueCountFrequency (%)
711858 1
2.0%
706853 1
2.0%
706824 1
2.0%
706820 1
2.0%
706802 1
2.0%
706801 1
2.0%
705817 1
2.0%
705020 1
2.0%
704939 1
2.0%
704910 1
2.0%
Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T05:55:33.918097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length20.431373
Min length16

Characters and Unicode

Total characters1042
Distinct characters87
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

Unique51 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 태평로2가 1-9
2nd row대구광역시 중구 종로2가 23번지
3rd row대구광역시 중구 하서동 28-1번지
4th row대구광역시 중구 교동 46-17번지
5th row대구광역시 중구 동일동 27번지
ValueCountFrequency (%)
대구광역시 51
23.7%
동구 17
 
7.9%
중구 13
 
6.0%
수성구 7
 
3.3%
신천동 5
 
2.3%
달서구 5
 
2.3%
상매동 5
 
2.3%
달성군 3
 
1.4%
동문동 3
 
1.4%
용수동 3
 
1.4%
Other values (92) 103
47.9%
2023-12-11T05:55:34.556960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
20.6%
102
 
9.8%
68
 
6.5%
55
 
5.3%
51
 
4.9%
51
 
4.9%
51
 
4.9%
- 39
 
3.7%
1 38
 
3.6%
0 26
 
2.5%
Other values (77) 346
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
57.2%
Space Separator 215
 
20.6%
Decimal Number 192
 
18.4%
Dash Punctuation 39
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
102
17.1%
68
11.4%
55
 
9.2%
51
 
8.6%
51
 
8.6%
51
 
8.6%
25
 
4.2%
21
 
3.5%
13
 
2.2%
11
 
1.8%
Other values (65) 148
24.8%
Decimal Number
ValueCountFrequency (%)
1 38
19.8%
0 26
13.5%
6 19
9.9%
9 19
9.9%
2 18
9.4%
8 17
8.9%
5 15
 
7.8%
3 15
 
7.8%
4 13
 
6.8%
7 12
 
6.2%
Space Separator
ValueCountFrequency (%)
215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
57.2%
Common 446
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
102
17.1%
68
11.4%
55
 
9.2%
51
 
8.6%
51
 
8.6%
51
 
8.6%
25
 
4.2%
21
 
3.5%
13
 
2.2%
11
 
1.8%
Other values (65) 148
24.8%
Common
ValueCountFrequency (%)
215
48.2%
- 39
 
8.7%
1 38
 
8.5%
0 26
 
5.8%
6 19
 
4.3%
9 19
 
4.3%
2 18
 
4.0%
8 17
 
3.8%
5 15
 
3.4%
3 15
 
3.4%
Other values (2) 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
57.2%
ASCII 446
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
48.2%
- 39
 
8.7%
1 38
 
8.5%
0 26
 
5.8%
6 19
 
4.3%
9 19
 
4.3%
2 18
 
4.0%
8 17
 
3.8%
5 15
 
3.4%
3 15
 
3.4%
Other values (2) 25
 
5.6%
Hangul
ValueCountFrequency (%)
102
17.1%
68
11.4%
55
 
9.2%
51
 
8.6%
51
 
8.6%
51
 
8.6%
25
 
4.2%
21
 
3.5%
13
 
2.2%
11
 
1.8%
Other values (65) 148
24.8%

도로명전체주소
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-11T05:55:35.143829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length34
Mean length25.16
Min length21

Characters and Unicode

Total characters1258
Distinct characters128
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

Unique50 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 태평로 117 (태평로2가)
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 50
 
18.9%
동구 17
 
6.4%
중구 13
 
4.9%
수성구 7
 
2.7%
신천동 5
 
1.9%
상매동 5
 
1.9%
달서구 4
 
1.5%
율암로 4
 
1.5%
달성군 3
 
1.1%
남구 3
 
1.1%
Other values (129) 153
58.0%
2023-12-11T05:55:36.171039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
17.7%
107
 
8.5%
82
 
6.5%
63
 
5.0%
51
 
4.1%
50
 
4.0%
50
 
4.0%
49
 
3.9%
( 47
 
3.7%
) 47
 
3.7%
Other values (118) 489
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
60.8%
Space Separator 223
 
17.7%
Decimal Number 166
 
13.2%
Open Punctuation 47
 
3.7%
Close Punctuation 47
 
3.7%
Other Punctuation 6
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
107
14.0%
82
 
10.7%
63
 
8.2%
51
 
6.7%
50
 
6.5%
50
 
6.5%
49
 
6.4%
17
 
2.2%
16
 
2.1%
15
 
2.0%
Other values (103) 265
34.6%
Decimal Number
ValueCountFrequency (%)
1 46
27.7%
2 27
16.3%
5 16
 
9.6%
4 15
 
9.0%
3 15
 
9.0%
6 15
 
9.0%
7 11
 
6.6%
0 10
 
6.0%
8 6
 
3.6%
9 5
 
3.0%
Space Separator
ValueCountFrequency (%)
223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 765
60.8%
Common 493
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
14.0%
82
 
10.7%
63
 
8.2%
51
 
6.7%
50
 
6.5%
50
 
6.5%
49
 
6.4%
17
 
2.2%
16
 
2.1%
15
 
2.0%
Other values (103) 265
34.6%
Common
ValueCountFrequency (%)
223
45.2%
( 47
 
9.5%
) 47
 
9.5%
1 46
 
9.3%
2 27
 
5.5%
5 16
 
3.2%
4 15
 
3.0%
3 15
 
3.0%
6 15
 
3.0%
7 11
 
2.2%
Other values (5) 31
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 765
60.8%
ASCII 493
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
45.2%
( 47
 
9.5%
) 47
 
9.5%
1 46
 
9.3%
2 27
 
5.5%
5 16
 
3.2%
4 15
 
3.0%
3 15
 
3.0%
6 15
 
3.0%
7 11
 
2.2%
Other values (5) 31
 
6.3%
Hangul
ValueCountFrequency (%)
107
14.0%
82
 
10.7%
63
 
8.2%
51
 
6.7%
50
 
6.5%
50
 
6.5%
49
 
6.4%
17
 
2.2%
16
 
2.1%
15
 
2.0%
Other values (103) 265
34.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)77.8%
Missing15
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean97027.028
Minimum41007
Maximum711856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:36.477838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41040.75
Q141201
median41913
Q342148
95-th percentile701536.75
Maximum711856
Range670849
Interquartile range (IQR)947

Descriptive statistics

Standard deviation185929.78
Coefficient of variation (CV)1.9162679
Kurtosis8.374271
Mean97027.028
Median Absolute Deviation (MAD)583
Skewness3.1480966
Sum3492973
Variance3.4569883 × 1010
MonotonicityNot monotonic
2023-12-11T05:55:36.737726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
41059 5
 
9.8%
41913 3
 
5.9%
43013 2
 
3.9%
41007 2
 
3.9%
41934 1
 
2.0%
41921 1
 
2.0%
711856 1
 
2.0%
41935 1
 
2.0%
42842 1
 
2.0%
42139 1
 
2.0%
Other values (18) 18
35.3%
(Missing) 15
29.4%
ValueCountFrequency (%)
41007 2
 
3.9%
41052 1
 
2.0%
41059 5
9.8%
41159 1
 
2.0%
41215 1
 
2.0%
41242 1
 
2.0%
41243 1
 
2.0%
41515 1
 
2.0%
41902 1
 
2.0%
41910 1
 
2.0%
ValueCountFrequency (%)
711856 1
2.0%
701827 1
2.0%
701440 1
2.0%
43013 2
3.9%
42842 1
2.0%
42409 1
2.0%
42217 1
2.0%
42175 1
2.0%
42139 1
2.0%
42117 1
2.0%

사업장명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T05:55:37.247259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length12
Mean length8.4117647
Min length3

Characters and Unicode

Total characters429
Distinct characters135
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

Unique51 ?
Unique (%)100.0%

Sample

1st row유니온관광호텔
2nd row쎈추럴관광호텔
3rd row영진아미고호텔(주)
4th row쿼츠호스텔
5th row2월호텔 동성로점
ValueCountFrequency (%)
호텔 8
 
10.4%
대구 2
 
2.6%
호스텔 2
 
2.6%
주)호텔 2
 
2.6%
유니온관광호텔 1
 
1.3%
주)이랜드파크 1
 
1.3%
엑스코 1
 
1.3%
주)인터불고 1
 
1.3%
하우스오브갤러리 1
 
1.3%
프린스 1
 
1.3%
Other values (57) 57
74.0%
2023-12-11T05:55:38.101554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
10.7%
45
 
10.5%
26
 
6.1%
15
 
3.5%
( 15
 
3.5%
) 15
 
3.5%
14
 
3.3%
13
 
3.0%
12
 
2.8%
9
 
2.1%
Other values (125) 219
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
81.4%
Space Separator 26
 
6.1%
Lowercase Letter 17
 
4.0%
Open Punctuation 15
 
3.5%
Close Punctuation 15
 
3.5%
Uppercase Letter 4
 
0.9%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
13.2%
45
 
12.9%
15
 
4.3%
14
 
4.0%
13
 
3.7%
12
 
3.4%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (105) 172
49.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
23.5%
g 2
11.8%
o 2
11.8%
i 2
11.8%
a 2
11.8%
e 1
 
5.9%
s 1
 
5.9%
t 1
 
5.9%
m 1
 
5.9%
n 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
H 1
25.0%
E 1
25.0%
P 1
25.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
81.4%
Common 59
 
13.8%
Latin 21
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
13.2%
45
 
12.9%
15
 
4.3%
14
 
4.0%
13
 
3.7%
12
 
3.4%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (105) 172
49.3%
Latin
ValueCountFrequency (%)
l 4
19.0%
g 2
9.5%
o 2
9.5%
i 2
9.5%
a 2
9.5%
G 1
 
4.8%
e 1
 
4.8%
s 1
 
4.8%
t 1
 
4.8%
H 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
26
44.1%
( 15
25.4%
) 15
25.4%
- 1
 
1.7%
' 1
 
1.7%
2 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
81.4%
ASCII 80
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
46
 
13.2%
45
 
12.9%
15
 
4.3%
14
 
4.0%
13
 
3.7%
12
 
3.4%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (105) 172
49.3%
ASCII
ValueCountFrequency (%)
26
32.5%
( 15
18.8%
) 15
18.8%
l 4
 
5.0%
g 2
 
2.5%
o 2
 
2.5%
i 2
 
2.5%
a 2
 
2.5%
- 1
 
1.2%
G 1
 
1.2%
Other values (10) 10
 
12.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178841 × 1013
Minimum2.0060608 × 1013
Maximum2.0220415 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:38.402042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060608 × 1013
5-th percentile2.0065616 × 1013
Q12.0180109 × 1013
median2.0200806 × 1013
Q32.0210913 × 1013
95-th percentile2.0220319 × 1013
Maximum2.0220415 × 1013
Range1.5980698 × 1011
Interquartile range (IQR)3.0803446 × 1010

Descriptive statistics

Standard deviation5.1489278 × 1010
Coefficient of variation (CV)0.0025516469
Kurtosis0.44176642
Mean2.0178841 × 1013
Median Absolute Deviation (MAD)1.9320963 × 1010
Skewness-1.3823317
Sum1.0291209 × 1015
Variance2.6511458 × 1021
MonotonicityNot monotonic
2023-12-11T05:55:39.221014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210720154000 1
 
2.0%
20080326191844 1
 
2.0%
20090813093253 1
 
2.0%
20130916165133 1
 
2.0%
20060608171721 1
 
2.0%
20180515092001 1
 
2.0%
20220315145657 1
 
2.0%
20220315145447 1
 
2.0%
20220127105523 1
 
2.0%
20220204085819 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
20060608171721 1
2.0%
20061027154801 1
2.0%
20061113114959 1
2.0%
20070118173403 1
2.0%
20070222151435 1
2.0%
20080326191844 1
2.0%
20090813093253 1
2.0%
20100601134928 1
2.0%
20111129162851 1
2.0%
20120102154056 1
2.0%
ValueCountFrequency (%)
20220415152607 1
2.0%
20220322171155 1
2.0%
20220321170123 1
2.0%
20220316142912 1
2.0%
20220315145657 1
2.0%
20220315145447 1
2.0%
20220204085819 1
2.0%
20220127105523 1
2.0%
20220125155822 1
2.0%
20220118181902 1
2.0%
Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
U
32 
I
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 32
62.7%
I 19
37.3%

Length

2023-12-11T05:55:39.594357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:39.818303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
62.7%
i 19
37.3%
Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-17 02:40:00
2023-12-11T05:55:40.027635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:55:40.299678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean345133.28
Minimum328508.32
Maximum354010.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:40.589394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328508.32
5-th percentile332143.8
Q1343251.3
median344880.69
Q3346989.74
95-th percentile353959.01
Maximum354010.47
Range25502.146
Interquartile range (IQR)3738.4439

Descriptive statistics

Standard deviation5820.9333
Coefficient of variation (CV)0.016865755
Kurtosis2.2213421
Mean345133.28
Median Absolute Deviation (MAD)1991.1943
Skewness-1.0328481
Sum17256664
Variance33883265
MonotonicityNot monotonic
2023-12-11T05:55:40.882766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
346922.110876 2
 
3.9%
343594.783952 1
 
2.0%
346269.22616 1
 
2.0%
341937.139309 1
 
2.0%
340481.164687 1
 
2.0%
344280.758889 1
 
2.0%
343216.888499 1
 
2.0%
342941.413187 1
 
2.0%
345396.560356 1
 
2.0%
346946.370685 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
328508.323419 1
2.0%
328548.352834 1
2.0%
328965.130661 1
2.0%
336028.850829 1
2.0%
340382.619774 1
2.0%
340481.164687 1
2.0%
340751.875654 1
2.0%
341937.139309 1
2.0%
342040.07834 1
2.0%
342941.413187 1
2.0%
ValueCountFrequency (%)
354010.469849 1
2.0%
353987.707678 1
2.0%
353961.314792 1
2.0%
353956.187425 1
2.0%
353945.40198 1
2.0%
352652.333024 1
2.0%
352470.098967 1
2.0%
352283.632829 1
2.0%
350017.050041 1
2.0%
349910.333288 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263934.6
Minimum239016.21
Maximum278141.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:41.167803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239016.21
5-th percentile254337.59
Q1263016.48
median264660.79
Q3265585.9
95-th percentile273813.94
Maximum278141.39
Range39125.179
Interquartile range (IQR)2569.4223

Descriptive statistics

Standard deviation6713.4652
Coefficient of variation (CV)0.025436093
Kurtosis7.3670881
Mean263934.6
Median Absolute Deviation (MAD)1392.5524
Skewness-1.7506399
Sum13196730
Variance45070615
MonotonicityNot monotonic
2023-12-11T05:55:41.426662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
265123.315824 2
 
3.9%
265157.612523 1
 
2.0%
265138.819965 1
 
2.0%
265463.585518 1
 
2.0%
263539.732811 1
 
2.0%
261404.052274 1
 
2.0%
262962.037923 1
 
2.0%
262838.301721 1
 
2.0%
268598.942833 1
 
2.0%
263395.22446 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
239016.209158 1
2.0%
239017.56085 1
2.0%
250161.463857 1
2.0%
259441.744147 1
2.0%
260327.827673 1
2.0%
260428.96631 1
2.0%
261277.78301 1
2.0%
261404.052274 1
2.0%
262620.604122 1
2.0%
262714.226889 1
2.0%
ValueCountFrequency (%)
278141.388025 1
2.0%
278091.653532 1
2.0%
278080.761551 1
2.0%
268598.942833 1
2.0%
267876.718368 1
2.0%
266822.901383 1
2.0%
266764.712192 1
2.0%
266755.077008 1
2.0%
266725.430562 1
2.0%
266725.35275 1
2.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
관광숙박업
51 

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 51
100.0%

Length

2023-12-11T05:55:41.727561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:41.960375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 51
100.0%
Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
관광사업
29 
<NA>
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 29
56.9%
<NA> 22
43.1%

Length

2023-12-11T05:55:42.217739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:42.444852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 29
56.9%
na 22
43.1%

지역구분명
Categorical

Distinct8
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
24 
중심상업지역
13 
근린상업지역
일반상업지역
상업지역
 
2
Other values (3)

Length

Max length6
Median length4
Mean length4.9215686
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
47.1%
중심상업지역 13
25.5%
근린상업지역 5
 
9.8%
일반상업지역 3
 
5.9%
상업지역 2
 
3.9%
준공업지역 2
 
3.9%
일반주거지역 1
 
2.0%
준주거지역 1
 
2.0%

Length

2023-12-11T05:55:42.725158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:43.127358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
47.1%
중심상업지역 13
25.5%
근린상업지역 5
 
9.8%
일반상업지역 3
 
5.9%
상업지역 2
 
3.9%
준공업지역 2
 
3.9%
일반주거지역 1
 
2.0%
준주거지역 1
 
2.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)48.6%
Missing16
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean9.0571429
Minimum0
Maximum23
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:43.536754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q16
median8
Q312
95-th percentile20.3
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.6928379
Coefficient of variation (CV)0.62854677
Kurtosis0.30957017
Mean9.0571429
Median Absolute Deviation (MAD)4
Skewness0.72113708
Sum317
Variance32.408403
MonotonicityNot monotonic
2023-12-11T05:55:43.749666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
8 6
 
11.8%
7 5
 
9.8%
2 3
 
5.9%
12 3
 
5.9%
6 2
 
3.9%
10 2
 
3.9%
13 2
 
3.9%
4 2
 
3.9%
0 2
 
3.9%
9 1
 
2.0%
Other values (7) 7
13.7%
(Missing) 16
31.4%
ValueCountFrequency (%)
0 2
 
3.9%
2 3
5.9%
4 2
 
3.9%
5 1
 
2.0%
6 2
 
3.9%
7 5
9.8%
8 6
11.8%
9 1
 
2.0%
10 2
 
3.9%
12 3
5.9%
ValueCountFrequency (%)
23 1
 
2.0%
21 1
 
2.0%
20 1
 
2.0%
19 1
 
2.0%
15 1
 
2.0%
14 1
 
2.0%
13 2
3.9%
12 3
5.9%
10 2
3.9%
9 1
 
2.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
기타
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8823529
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
88.2%
기타 5
 
9.8%
학교정화(상대) 1
 
2.0%

Length

2023-12-11T05:55:43.987818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:44.275922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
기타 5
 
9.8%
학교정화(상대 1
 
2.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

보험기관명
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing39
Missing (%)76.5%
Memory size540.0 B
2023-12-11T05:55:44.584397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.5833333
Min length4

Characters and Unicode

Total characters103
Distinct characters41
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

Unique6 ?
Unique (%)50.0%

Sample

1st row삼성화재 525-86-01201
2nd row현대해상화재보험
3rd row현대해상화재보험(특수건물)
4th row재난배상책임보험
5th row재난배상책임보험
ValueCountFrequency (%)
현대해상화재보험 2
15.4%
재난배상책임보험 2
15.4%
db손해보험 2
15.4%
삼성화재 1
7.7%
525-86-01201 1
7.7%
현대해상화재보험(특수건물 1
7.7%
현대해상 1
7.7%
삼성재산종합보험 1
7.7%
kb손해보험 1
7.7%
농협손해보험주식회사 1
7.7%
2023-12-11T05:55:45.261472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
9.7%
10
 
9.7%
8
 
7.8%
7
 
6.8%
6
 
5.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
B 3
 
2.9%
Other values (31) 43
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
79.6%
Decimal Number 10
 
9.7%
Uppercase Letter 6
 
5.8%
Dash Punctuation 2
 
1.9%
Close Punctuation 1
 
1.0%
Space Separator 1
 
1.0%
Open Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
12.2%
10
12.2%
8
 
9.8%
7
 
8.5%
6
 
7.3%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
2
 
2.4%
Other values (18) 23
28.0%
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%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
D 2
33.3%
K 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
79.6%
Common 15
 
14.6%
Latin 6
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
12.2%
10
12.2%
8
 
9.8%
7
 
8.5%
6
 
7.3%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
2
 
2.4%
Other values (18) 23
28.0%
Common
ValueCountFrequency (%)
1 2
13.3%
0 2
13.3%
2 2
13.3%
5 2
13.3%
- 2
13.3%
) 1
6.7%
1
6.7%
( 1
6.7%
6 1
6.7%
8 1
6.7%
Latin
ValueCountFrequency (%)
B 3
50.0%
D 2
33.3%
K 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
79.6%
ASCII 21
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
12.2%
10
12.2%
8
 
9.8%
7
 
8.5%
6
 
7.3%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
2
 
2.4%
Other values (18) 23
28.0%
ASCII
ValueCountFrequency (%)
B 3
14.3%
1 2
9.5%
0 2
9.5%
2 2
9.5%
5 2
9.5%
- 2
9.5%
D 2
9.5%
K 1
 
4.8%
) 1
 
4.8%
1
 
4.8%
Other values (3) 3
14.3%

건물용도명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
25 
숙박시설
13 
호텔
12 
여인숙
 
1

Length

Max length4
Median length4
Mean length3.5098039
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
49.0%
숙박시설 13
25.5%
호텔 12
23.5%
여인숙 1
 
2.0%

Length

2023-12-11T05:55:45.623119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:45.881910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
49.0%
숙박시설 13
25.5%
호텔 12
23.5%
여인숙 1
 
2.0%

지상층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)35.9%
Missing12
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean7.4615385
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:46.121871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.5
median7
Q39.5
95-th percentile14.2
Maximum19
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.768611
Coefficient of variation (CV)0.50507158
Kurtosis1.5012522
Mean7.4615385
Median Absolute Deviation (MAD)2
Skewness0.82033012
Sum291
Variance14.202429
MonotonicityNot monotonic
2023-12-11T05:55:46.338531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 7
13.7%
6 5
9.8%
10 4
 
7.8%
8 4
 
7.8%
11 3
 
5.9%
2 3
 
5.9%
9 3
 
5.9%
3 2
 
3.9%
5 2
 
3.9%
4 2
 
3.9%
Other values (4) 4
 
7.8%
(Missing) 12
23.5%
ValueCountFrequency (%)
1 1
 
2.0%
2 3
5.9%
3 2
 
3.9%
4 2
 
3.9%
5 2
 
3.9%
6 5
9.8%
7 7
13.7%
8 4
7.8%
9 3
5.9%
10 4
7.8%
ValueCountFrequency (%)
19 1
 
2.0%
16 1
 
2.0%
14 1
 
2.0%
11 3
5.9%
10 4
7.8%
9 3
5.9%
8 4
7.8%
7 7
13.7%
6 5
9.8%
5 2
 
3.9%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)16.2%
Missing14
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean1.6756757
Minimum0
Maximum6
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:46.551794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4.2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.292157
Coefficient of variation (CV)0.77112594
Kurtosis3.4683424
Mean1.6756757
Median Absolute Deviation (MAD)0
Skewness1.9565029
Sum62
Variance1.6696697
MonotonicityNot monotonic
2023-12-11T05:55:46.769249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 23
45.1%
2 8
 
15.7%
4 3
 
5.9%
0 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
(Missing) 14
27.5%
ValueCountFrequency (%)
0 1
 
2.0%
1 23
45.1%
2 8
 
15.7%
4 3
 
5.9%
5 1
 
2.0%
6 1
 
2.0%
ValueCountFrequency (%)
6 1
 
2.0%
5 1
 
2.0%
4 3
 
5.9%
2 8
 
15.7%
1 23
45.1%
0 1
 
2.0%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)80.6%
Missing15
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean81.027778
Minimum0
Maximum325
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:47.042526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q142.5
median52.5
Q377.5
95-th percentile237
Maximum325
Range325
Interquartile range (IQR)35

Descriptive statistics

Standard deviation79.619626
Coefficient of variation (CV)0.98262138
Kurtosis2.6268958
Mean81.027778
Median Absolute Deviation (MAD)17.5
Skewness1.7527534
Sum2917
Variance6339.2849
MonotonicityNot monotonic
2023-12-11T05:55:47.249422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
51 4
 
7.8%
44 2
 
3.9%
20 2
 
3.9%
54 2
 
3.9%
70 2
 
3.9%
181 1
 
2.0%
0 1
 
2.0%
4 1
 
2.0%
303 1
 
2.0%
150 1
 
2.0%
Other values (19) 19
37.3%
(Missing) 15
29.4%
ValueCountFrequency (%)
0 1
2.0%
2 1
2.0%
4 1
2.0%
11 1
2.0%
16 1
2.0%
20 2
3.9%
36 1
2.0%
38 1
2.0%
44 2
3.9%
45 1
2.0%
ValueCountFrequency (%)
325 1
2.0%
303 1
2.0%
215 1
2.0%
204 1
2.0%
190 1
2.0%
181 1
2.0%
150 1
2.0%
110 1
2.0%
94 1
2.0%
72 1
2.0%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)81.8%
Missing29
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean15293.818
Minimum0
Maximum63766
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:47.443207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1437.75
median5951.5
Q323543.75
95-th percentile49822.55
Maximum63766
Range63766
Interquartile range (IQR)23106

Descriptive statistics

Standard deviation19385.7
Coefficient of variation (CV)1.2675514
Kurtosis0.48403323
Mean15293.818
Median Absolute Deviation (MAD)5951.5
Skewness1.2576172
Sum336464
Variance3.7580537 × 108
MonotonicityNot monotonic
2023-12-11T05:55:47.617527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5
 
9.8%
393 1
 
2.0%
3468 1
 
2.0%
36355 1
 
2.0%
63766 1
 
2.0%
24448 1
 
2.0%
7745 1
 
2.0%
47135 1
 
2.0%
49964 1
 
2.0%
3364 1
 
2.0%
Other values (8) 8
 
15.7%
(Missing) 29
56.9%
ValueCountFrequency (%)
0 5
9.8%
393 1
 
2.0%
572 1
 
2.0%
2963 1
 
2.0%
3364 1
 
2.0%
3468 1
 
2.0%
5791 1
 
2.0%
6112 1
 
2.0%
7745 1
 
2.0%
8115 1
 
2.0%
ValueCountFrequency (%)
63766 1
2.0%
49964 1
2.0%
47135 1
2.0%
36355 1
2.0%
35905 1
2.0%
24448 1
2.0%
20831 1
2.0%
19537 1
2.0%
8115 1
2.0%
7745 1
2.0%

영문상호명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing31
Missing (%)60.8%
Memory size540.0 B
2023-12-11T05:55:47.874297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length19.75
Min length9

Characters and Unicode

Total characters395
Distinct characters52
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

Unique20 ?
Unique (%)100.0%

Sample

1st rowUnion Tourist Hotel
2nd rowQuartz Hostel
3rd rowHOTEL FEBRUARY DONGSUNGRO
4th rowEldis Regent Hotel
5th rowNOBLESTAY
ValueCountFrequency (%)
hotel 11
 
19.6%
tourist 3
 
5.4%
hostel 3
 
5.4%
daegu 2
 
3.6%
co.ltd 2
 
3.6%
inter-burgo 2
 
3.6%
of 1
 
1.8%
development 1
 
1.8%
co 1
 
1.8%
ltd 1
 
1.8%
Other values (29) 29
51.8%
2023-12-11T05:55:48.427024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
9.4%
E 26
 
6.6%
O 24
 
6.1%
o 23
 
5.8%
e 19
 
4.8%
t 18
 
4.6%
T 17
 
4.3%
N 16
 
4.1%
H 16
 
4.1%
l 15
 
3.8%
Other values (42) 184
46.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 192
48.6%
Lowercase Letter 154
39.0%
Space Separator 37
 
9.4%
Other Punctuation 9
 
2.3%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 26
13.5%
O 24
12.5%
T 17
 
8.9%
N 16
 
8.3%
H 16
 
8.3%
L 15
 
7.8%
R 9
 
4.7%
A 8
 
4.2%
S 7
 
3.6%
D 6
 
3.1%
Other values (16) 48
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 23
14.9%
e 19
12.3%
t 18
11.7%
l 15
9.7%
s 13
8.4%
n 9
 
5.8%
a 9
 
5.8%
u 8
 
5.2%
r 8
 
5.2%
i 7
 
4.5%
Other values (11) 25
16.2%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 2
 
22.2%
' 2
 
22.2%
Space Separator
ValueCountFrequency (%)
37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 346
87.6%
Common 49
 
12.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 26
 
7.5%
O 24
 
6.9%
o 23
 
6.6%
e 19
 
5.5%
t 18
 
5.2%
T 17
 
4.9%
N 16
 
4.6%
H 16
 
4.6%
l 15
 
4.3%
L 15
 
4.3%
Other values (37) 157
45.4%
Common
ValueCountFrequency (%)
37
75.5%
. 5
 
10.2%
- 3
 
6.1%
, 2
 
4.1%
' 2
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
 
9.4%
E 26
 
6.6%
O 24
 
6.1%
o 23
 
5.8%
e 19
 
4.8%
t 18
 
4.6%
T 17
 
4.3%
N 16
 
4.1%
H 16
 
4.1%
l 15
 
3.8%
Other values (42) 184
46.6%
Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
31 
Tourist Hotel
15 
Hostel
 
3
HOTEL
 
1
Tourist Hostel
 
1

Length

Max length14
Median length4
Mean length6.9803922
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
60.8%
Tourist Hotel 15
29.4%
Hostel 3
 
5.9%
HOTEL 1
 
2.0%
Tourist Hostel 1
 
2.0%

Length

2023-12-11T05:55:48.682430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:48.940503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
46.3%
tourist 16
23.9%
hotel 16
23.9%
hostel 4
 
6.0%

선박총톤수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:49.203811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:49.364341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

선박척수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:49.514710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:49.666308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

무대면적
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:49.855390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:50.030518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

좌석수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:50.206035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:50.376509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B
Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:50.573253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:50.737389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)90.0%
Missing11
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9443.242
Minimum0
Maximum63766.14
Zeros4
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:50.898746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1796.1025
median4352.76
Q38308.7
95-th percentile36495.174
Maximum63766.14
Range63766.14
Interquartile range (IQR)7512.5975

Descriptive statistics

Standard deviation14005.739
Coefficient of variation (CV)1.4831494
Kurtosis5.9810296
Mean9443.242
Median Absolute Deviation (MAD)3581.965
Skewness2.4103164
Sum377729.68
Variance1.9616071 × 108
MonotonicityNot monotonic
2023-12-11T05:55:51.128639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 4
 
7.8%
3467.96 2
 
3.9%
47135.44 1
 
2.0%
3423.38 1
 
2.0%
6177.8 1
 
2.0%
19537.46 1
 
2.0%
5790.88 1
 
2.0%
197.0 1
 
2.0%
6314.0 1
 
2.0%
7745.26 1
 
2.0%
Other values (26) 26
51.0%
(Missing) 11
21.6%
ValueCountFrequency (%)
0.0 4
7.8%
106.98 1
 
2.0%
197.0 1
 
2.0%
368.07 1
 
2.0%
404.24 1
 
2.0%
537.08 1
 
2.0%
720.18 1
 
2.0%
821.41 1
 
2.0%
2032.32 1
 
2.0%
2962.68 1
 
2.0%
ValueCountFrequency (%)
63766.14 1
2.0%
47135.44 1
2.0%
35935.16 1
2.0%
35904.7 1
2.0%
24175.79 1
2.0%
19537.46 1
2.0%
18543.56 1
2.0%
16796.6 1
2.0%
14125.7 1
2.0%
9999.02 1
2.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
39 
0
12 

Length

Max length4
Median length4
Mean length3.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
76.5%
0 12
 
23.5%

Length

2023-12-11T05:55:51.368390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:51.522897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
76.5%
0 12
 
23.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)47.4%
Missing32
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean2.9184211 × 109
Minimum0
Maximum2 × 1010
Zeros9
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:51.672831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3 × 108
Q34.5 × 109
95-th percentile1.01 × 1010
Maximum2 × 1010
Range2 × 1010
Interquartile range (IQR)4.5 × 109

Descriptive statistics

Standard deviation5.1419627 × 109
Coefficient of variation (CV)1.7618989
Kurtosis6.2421141
Mean2.9184211 × 109
Median Absolute Deviation (MAD)3 × 108
Skewness2.3568424
Sum5.545 × 1010
Variance2.6439781 × 1019
MonotonicityNot monotonic
2023-12-11T05:55:51.871726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9
 
17.6%
300000000 2
 
3.9%
6000000000 2
 
3.9%
20000000000 1
 
2.0%
400000000 1
 
2.0%
9000000000 1
 
2.0%
3000000000 1
 
2.0%
8450000000 1
 
2.0%
2000000000 1
 
2.0%
(Missing) 32
62.7%
ValueCountFrequency (%)
0 9
17.6%
300000000 2
 
3.9%
400000000 1
 
2.0%
2000000000 1
 
2.0%
3000000000 1
 
2.0%
6000000000 2
 
3.9%
8450000000 1
 
2.0%
9000000000 1
 
2.0%
20000000000 1
 
2.0%
ValueCountFrequency (%)
20000000000 1
 
2.0%
9000000000 1
 
2.0%
8450000000 1
 
2.0%
6000000000 2
 
3.9%
3000000000 1
 
2.0%
2000000000 1
 
2.0%
400000000 1
 
2.0%
300000000 2
 
3.9%
0 9
17.6%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)90.0%
Missing11
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9443.25
Minimum0
Maximum63766
Zeros4
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:55:52.110060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1795.75
median4353
Q38308.5
95-th percentile36495
Maximum63766
Range63766
Interquartile range (IQR)7512.75

Descriptive statistics

Standard deviation14005.722
Coefficient of variation (CV)1.4831464
Kurtosis5.9809368
Mean9443.25
Median Absolute Deviation (MAD)3582.5
Skewness2.4102956
Sum377730
Variance1.9616024 × 108
MonotonicityNot monotonic
2023-12-11T05:55:52.345661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 4
 
7.8%
3468 2
 
3.9%
47135 1
 
2.0%
3423 1
 
2.0%
6178 1
 
2.0%
19537 1
 
2.0%
5791 1
 
2.0%
197 1
 
2.0%
6314 1
 
2.0%
7745 1
 
2.0%
Other values (26) 26
51.0%
(Missing) 11
21.6%
ValueCountFrequency (%)
0 4
7.8%
107 1
 
2.0%
197 1
 
2.0%
368 1
 
2.0%
404 1
 
2.0%
537 1
 
2.0%
720 1
 
2.0%
821 1
 
2.0%
2032 1
 
2.0%
2963 1
 
2.0%
ValueCountFrequency (%)
63766 1
2.0%
47135 1
2.0%
35935 1
2.0%
35905 1
2.0%
24176 1
2.0%
19537 1
2.0%
18544 1
2.0%
16797 1
2.0%
14126 1
2.0%
9999 1
2.0%
Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
관광호텔업
33 
<NA>
12 
호스텔업

Length

Max length5
Median length5
Mean length4.6470588
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 33
64.7%
<NA> 12
 
23.5%
호스텔업 6
 
11.8%

Length

2023-12-11T05:55:52.575033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:55:52.754607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 33
64.7%
na 12
 
23.5%
호스텔업 6
 
11.8%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
01관광숙박업03_11_01_P3410000CDFI226003198900000119890131<NA>2휴업2휴업<NA>2021070120220630<NA>053-252-2221<NA>700112대구광역시 중구 태평로2가 1-9대구광역시 중구 태평로 117 (태평로2가)41902유니온관광호텔20210720154000U2021-07-22 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
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_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
67관광숙박업03_11_01_P3410000CDFI226003201900000320191113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-5007<NA><NA>대구광역시 중구 동문동 38-11대구광역시 중구 국채보상로123길 23 (동문동)41913노블스테이20220321170123U2022-03-23 02:40:00.0<NA>344166.240375264682.276864관광숙박업<NA>중심상업지역0<NA><NA>삼성화재 525-86-01201<NA>61513364NOBLESTAYTourist Hotel00<NA>00<NA>0537.08<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>537관광호텔업
78관광숙박업03_11_01_P3410000CDFI226003201500000120151215<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7708-3145<NA><NA>대구광역시 중구 동문동 38-9번지대구광역시 중구 동성로12길 9 (동문동)41913공감호스텔 동성로20180807171308I2018-08-31 23:59:59.0<NA>344093.556562264671.704753관광숙박업<NA>중심상업지역4<NA><NA><NA><NA>3111<NA>Empathy Hostel DongseongnoHostel<NA><NA><NA><NA><NA><NA><NA>368.07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>368호스텔업
89관광숙박업03_11_01_P3410000CDFI226003201700000220171113<NA>1영업/정상13영업중<NA><NA><NA><NA>053 7193450<NA><NA>대구광역시 중구 장관동 30대구광역시 중구 중앙대로77길 47 (장관동)41934대구미드타운 호스텔20210812135507U2021-08-14 02:40:00.0<NA>343606.333968264294.667807관광숙박업<NA>중심상업지역7<NA><NA><NA><NA>61200<NA><NA>00<NA>00<NA>0821.41<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>821호스텔업
910관광숙박업03_11_01_P3410000CDFI226003201900000220190513<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-8666<NA><NA>대구광역시 중구 인교동 270대구광역시 중구 북성로4길 61 (인교동)41921경's 호스텔20210819092823U2021-08-21 02:40:00.0<NA>343148.565978264649.873327관광숙박업<NA><NA>6<NA><NA>현대해상화재보험여인숙5116572KYEONG's HOSTELTourist Hostel00<NA>00<NA>0404.24<NA>0<NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA>404호스텔업
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
4142관광숙박업03_11_01_P3460000CDFI226003201500000120151230<NA>1영업/정상13영업중<NA><NA><NA><NA>053 718 7000<NA><NA>대구광역시 수성구 범어동 805-4대구광역시 수성구 범어천로 73 (범어동, 호텔 라온제나)42139(주)호텔 라온제나20201201160509U2020-12-03 02:40:00.0<NA>346507.147444262714.226889관광숙박업<NA><NA>19<NA><NA>KB손해보험호텔1459436355HOTEL LAONZENA Co.LtdTourist Hotel<NA><NA><NA><NA><NA><NA><NA>14125.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14126관광호텔업
4243관광숙박업03_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>
4344관광숙박업03_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
4445관광숙박업03_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
4546관광숙박업03_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
4647관광숙박업03_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>
4748관광숙박업03_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>
4849관광숙박업03_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
4950관광숙박업03_11_01_P3480000CDFI226003201700000120170227<NA>1영업/정상13영업중<NA><NA><NA><NA>053-263-5511<NA><NA>대구광역시 달성군 구지면 내리 841-7대구광역시 달성군 구지면 달성2차동1로 14543013호텔G20201204155052U2020-12-06 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
5051관광숙박업03_11_01_P3480000CDFI226003200400000120041015<NA>2휴업2휴업<NA>2022021820230217<NA>053-555-7221<NA>711858대구광역시 달성군 논공읍 하리 509대구광역시 달성군 논공읍 약산덧재길 81711856(주)파라다이스 온천호텔20220316142912U2022-03-18 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