Overview

Dataset statistics

Number of variables64
Number of observations43
Missing cells1273
Missing cells (%)46.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.5 KiB
Average record size in memory559.0 B

Variable types

Numeric16
Categorical18
Text7
Unsupported23

Dataset

Description6270000_대구광역시_03_11_01_P_관광숙박업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078135&dataSetDetailId=DDI_0000078177&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (84.1%)Imbalance
휴업종료일자 is highly imbalanced (84.1%)Imbalance
주변환경명 is highly imbalanced (63.5%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 27 (62.8%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
소재지전화 has 6 (14.0%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 16 (37.2%) missing valuesMissing
도로명전체주소 has 1 (2.3%) missing valuesMissing
도로명우편번호 has 15 (34.9%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.3%) missing valuesMissing
좌표정보(Y) has 1 (2.3%) missing valuesMissing
총층수 has 16 (37.2%) missing valuesMissing
제작취급품목내용 has 43 (100.0%) missing valuesMissing
보험기관명 has 38 (88.4%) missing valuesMissing
지상층수 has 12 (27.9%) missing valuesMissing
객실수 has 24 (55.8%) missing valuesMissing
건축연면적 has 33 (76.7%) missing valuesMissing
영문상호명 has 28 (65.1%) missing valuesMissing
선박총톤수 has 43 (100.0%) missing valuesMissing
선박척수 has 43 (100.0%) missing valuesMissing
선박제원 has 43 (100.0%) missing valuesMissing
무대면적 has 43 (100.0%) missing valuesMissing
좌석수 has 43 (100.0%) missing valuesMissing
기념품종류 has 43 (100.0%) missing valuesMissing
회의실별동시수용인원 has 43 (100.0%) missing valuesMissing
시설면적 has 15 (34.9%) missing valuesMissing
놀이기구수내역 has 43 (100.0%) missing valuesMissing
놀이시설수 has 43 (100.0%) missing valuesMissing
방송시설유무 has 43 (100.0%) missing valuesMissing
발전시설유무 has 43 (100.0%) missing valuesMissing
의무실유무 has 43 (100.0%) missing valuesMissing
안내소유무 has 43 (100.0%) missing valuesMissing
기획여행보험시작일자 has 43 (100.0%) missing valuesMissing
기획여행보험종료일자 has 43 (100.0%) missing valuesMissing
자본금 has 36 (83.7%) missing valuesMissing
보험시작일자 has 43 (100.0%) missing valuesMissing
보험종료일자 has 43 (100.0%) missing valuesMissing
부대시설내역 has 43 (100.0%) missing valuesMissing
시설규모 has 15 (34.9%) missing valuesMissing
번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-20 14:49:46.520217
Analysis finished2024-04-20 14:49:47.551707
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:49:47.871889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-04-20T23:49:48.108847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
관광숙박업
43 

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 43
100.0%

Length

2024-04-20T23:49:48.330684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:48.525977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 43
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
03_11_01_P
43 

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 43
100.0%

Length

2024-04-20T23:49:48.699868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:48.869208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_01_p 43
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435814
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:49:49.022326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33460000
95-th percentile3479000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation25282.458
Coefficient of variation (CV)0.007358506
Kurtosis-1.4305031
Mean3435814
Median Absolute Deviation (MAD)10000
Skewness0.47946196
Sum1.4774 × 108
Variance6.3920266 × 108
MonotonicityIncreasing
2024-04-20T23:49:49.223292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 12
27.9%
3420000 11
25.6%
3460000 7
16.3%
3470000 5
11.6%
3480000 3
 
7.0%
3430000 2
 
4.7%
3440000 2
 
4.7%
3450000 1
 
2.3%
ValueCountFrequency (%)
3410000 12
27.9%
3420000 11
25.6%
3430000 2
 
4.7%
3440000 2
 
4.7%
3450000 1
 
2.3%
3460000 7
16.3%
3470000 5
11.6%
3480000 3
 
7.0%
ValueCountFrequency (%)
3480000 3
 
7.0%
3470000 5
11.6%
3460000 7
16.3%
3450000 1
 
2.3%
3440000 2
 
4.7%
3430000 2
 
4.7%
3420000 11
25.6%
3410000 12
27.9%

관리번호
Text

Distinct28
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-04-20T23:49:49.914304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique18 ?
Unique (%)41.9%

Sample

1st rowCDFI2260031975000001
2nd rowCDFI2260031986000001
3rd rowCDFI2260032016000001
4th rowCDFI2260032017000001
5th rowCDFI2260032019000003
ValueCountFrequency (%)
cdfi2260031989000001 4
 
9.3%
cdfi2260032019000001 3
 
7.0%
cdfi2260032017000001 3
 
7.0%
cdfi2260031990000001 3
 
7.0%
cdfi2260031992000001 2
 
4.7%
cdfi2260032017000002 2
 
4.7%
cdfi2260032004000001 2
 
4.7%
cdfi2260031990000002 2
 
4.7%
cdfi2260032008000001 2
 
4.7%
cdfi2260032015000001 2
 
4.7%
Other values (18) 18
41.9%
2024-04-20T23:49:50.781315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 339
39.4%
2 122
 
14.2%
1 66
 
7.7%
3 47
 
5.5%
6 46
 
5.3%
C 43
 
5.0%
D 43
 
5.0%
F 43
 
5.0%
I 43
 
5.0%
9 38
 
4.4%
Other values (4) 30
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 339
49.3%
2 122
 
17.7%
1 66
 
9.6%
3 47
 
6.8%
6 46
 
6.7%
9 38
 
5.5%
8 14
 
2.0%
7 6
 
0.9%
5 5
 
0.7%
4 5
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 43
25.0%
D 43
25.0%
F 43
25.0%
I 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 339
49.3%
2 122
 
17.7%
1 66
 
9.6%
3 47
 
6.8%
6 46
 
6.7%
9 38
 
5.5%
8 14
 
2.0%
7 6
 
0.9%
5 5
 
0.7%
4 5
 
0.7%
Latin
ValueCountFrequency (%)
C 43
25.0%
D 43
25.0%
F 43
25.0%
I 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 339
39.4%
2 122
 
14.2%
1 66
 
7.7%
3 47
 
5.5%
6 46
 
5.3%
C 43
 
5.0%
D 43
 
5.0%
F 43
 
5.0%
I 43
 
5.0%
9 38
 
4.4%
Other values (4) 30
 
3.5%

인허가일자
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20002741
Minimum19641216
Maximum20191113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:49:51.020094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641216
5-th percentile19831262
Q119890558
median20020530
Q320155872
95-th percentile20190595
Maximum20191113
Range549897
Interquartile range (IQR)265314

Descriptive statistics

Standard deviation141765.93
Coefficient of variation (CV)0.0070873252
Kurtosis-0.69755095
Mean20002741
Median Absolute Deviation (MAD)130219
Skewness-0.22716878
Sum8.6011784 × 108
Variance2.0097578 × 1010
MonotonicityNot monotonic
2024-04-20T23:49:51.257210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20041015 2
 
4.7%
19750304 1
 
2.3%
20151230 1
 
2.3%
19890311 1
 
2.3%
19900124 1
 
2.3%
19881213 1
 
2.3%
20081217 1
 
2.3%
19830210 1
 
2.3%
19641216 1
 
2.3%
19900530 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
19641216 1
2.3%
19750304 1
2.3%
19830210 1
2.3%
19840730 1
2.3%
19851121 1
2.3%
19860125 1
2.3%
19881213 1
2.3%
19890131 1
2.3%
19890311 1
2.3%
19890320 1
2.3%
ValueCountFrequency (%)
20191113 1
2.3%
20191016 1
2.3%
20190604 1
2.3%
20190513 1
2.3%
20190430 1
2.3%
20171113 1
2.3%
20170620 1
2.3%
20170320 1
2.3%
20170227 1
2.3%
20170111 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
1
26 
3
16 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
60.5%
3 16
37.2%
2 1
 
2.3%

Length

2024-04-20T23:49:51.559655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:51.876726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
60.5%
3 16
37.2%
2 1
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
영업/정상
26 
폐업
16 
휴업
 
1

Length

Max length5
Median length5
Mean length3.8139535
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 26
60.5%
폐업 16
37.2%
휴업 1
 
2.3%

Length

2024-04-20T23:49:52.316033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:52.575212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 26
60.5%
폐업 16
37.2%
휴업 1
 
2.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
13
26 
3
16 
2
 
1

Length

Max length2
Median length2
Mean length1.6046512
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 26
60.5%
3 16
37.2%
2 1
 
2.3%

Length

2024-04-20T23:49:52.766876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:52.954314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 26
60.5%
3 16
37.2%
2 1
 
2.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
영업중
26 
폐업
16 
휴업
 
1

Length

Max length3
Median length3
Mean length2.6046512
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 26
60.5%
폐업 16
37.2%
휴업 1
 
2.3%

Length

2024-04-20T23:49:53.191208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:53.507898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 26
60.5%
폐업 16
37.2%
휴업 1
 
2.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing27
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean20115653
Minimum20060608
Maximum20190801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:49:53.682873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation48737.319
Coefficient of variation (CV)0.0024228554
Kurtosis-1.534085
Mean20115653
Median Absolute Deviation (MAD)40247
Skewness0.37172843
Sum3.2185044 × 108
Variance2.3753262 × 109
MonotonicityNot monotonic
2024-04-20T23:49:54.105741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20060608 1
 
2.3%
20061027 1
 
2.3%
20061113 1
 
2.3%
20070118 1
 
2.3%
20120102 1
 
2.3%
20190801 1
 
2.3%
20180430 1
 
2.3%
20080326 1
 
2.3%
20111124 1
 
2.3%
20070222 1
 
2.3%
Other values (6) 6
 
14.0%
(Missing) 27
62.8%
ValueCountFrequency (%)
20060608 1
2.3%
20061027 1
2.3%
20061113 1
2.3%
20070118 1
2.3%
20070222 1
2.3%
20080326 1
2.3%
20090813 1
2.3%
20100601 1
2.3%
20111124 1
2.3%
20120102 1
2.3%
ValueCountFrequency (%)
20190801 1
2.3%
20180430 1
2.3%
20180103 1
2.3%
20171129 1
2.3%
20171010 1
2.3%
20130916 1
2.3%
20120102 1
2.3%
20111124 1
2.3%
20100601 1
2.3%
20090813 1
2.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
42 
20190218
 
1

Length

Max length8
Median length4
Mean length4.0930233
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
20190218 1
 
2.3%

Length

2024-04-20T23:49:54.566428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:54.921094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
20190218 1
 
2.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
42 
20200217
 
1

Length

Max length8
Median length4
Mean length4.0930233
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
20200217 1
 
2.3%

Length

2024-04-20T23:49:55.307049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:49:55.762852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
20200217 1
 
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

소재지전화
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing6
Missing (%)14.0%
Memory size472.0 B
2024-04-20T23:49:56.473624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.027027
Min length8

Characters and Unicode

Total characters408
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

Unique37 ?
Unique (%)100.0%

Sample

1st row(053)252-4101
2nd row(053)252-6001
3rd row053 257 9898
4th row053-421-5007
5th row053-428-1045
ValueCountFrequency (%)
053 4
 
9.1%
555-3381 1
 
2.3%
718 1
 
2.3%
7000 1
 
2.3%
559-2100 1
 
2.3%
471-9911 1
 
2.3%
628-1001 1
 
2.3%
053-380-0114 1
 
2.3%
763-7311 1
 
2.3%
765-7776 1
 
2.3%
Other values (31) 31
70.5%
2024-04-20T23:49:57.676687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 77
18.9%
5 59
14.5%
- 53
13.0%
3 40
9.8%
1 40
9.8%
2 31
7.6%
7 28
 
6.9%
6 22
 
5.4%
8 19
 
4.7%
9 13
 
3.2%
Other values (4) 26
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
83.8%
Dash Punctuation 53
 
13.0%
Space Separator 7
 
1.7%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 77
22.5%
5 59
17.3%
3 40
11.7%
1 40
11.7%
2 31
9.1%
7 28
 
8.2%
6 22
 
6.4%
8 19
 
5.6%
9 13
 
3.8%
4 13
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 53
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 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 77
18.9%
5 59
14.5%
- 53
13.0%
3 40
9.8%
1 40
9.8%
2 31
7.6%
7 28
 
6.9%
6 22
 
5.4%
8 19
 
4.7%
9 13
 
3.2%
Other values (4) 26
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 77
18.9%
5 59
14.5%
- 53
13.0%
3 40
9.8%
1 40
9.8%
2 31
7.6%
7 28
 
6.9%
6 22
 
5.4%
8 19
 
4.7%
9 13
 
3.2%
Other values (4) 26
 
6.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing16
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean703722.96
Minimum700112
Maximum711858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:49:58.056496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2855.8566
Coefficient of variation (CV)0.0040582115
Kurtosis0.73011574
Mean703722.96
Median Absolute Deviation (MAD)2014
Skewness0.80838328
Sum19000520
Variance8155917
MonotonicityNot monotonic
2024-04-20T23:49:58.456861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
700210 1
 
2.3%
711858 1
 
2.3%
704939 1
 
2.3%
704907 1
 
2.3%
704823 1
 
2.3%
704910 1
 
2.3%
706824 1
 
2.3%
706853 1
 
2.3%
706801 1
 
2.3%
706802 1
 
2.3%
Other values (17) 17
39.5%
(Missing) 16
37.2%
ValueCountFrequency (%)
700112 1
2.3%
700192 1
2.3%
700210 1
2.3%
700733 1
2.3%
700821 1
2.3%
701050 1
2.3%
701440 1
2.3%
701801 1
2.3%
701823 1
2.3%
701827 1
2.3%
ValueCountFrequency (%)
711858 1
2.3%
706853 1
2.3%
706824 1
2.3%
706820 1
2.3%
706802 1
2.3%
706801 1
2.3%
705817 1
2.3%
705020 1
2.3%
704939 1
2.3%
704910 1
2.3%

소재지전체주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-04-20T23:49:59.397614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length21.186047
Min length18

Characters and Unicode

Total characters911
Distinct characters80
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

Unique43 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 종로2가 23번지
2nd row대구광역시 중구 하서동 28-1번지
3rd row대구광역시 중구 교동 46-17번지
4th row대구광역시 중구 동일동 27번지
5th row대구광역시 중구 동문동 38-11번지
ValueCountFrequency (%)
대구광역시 43
24.3%
중구 12
 
6.8%
동구 11
 
6.2%
수성구 7
 
4.0%
달서구 5
 
2.8%
신천동 3
 
1.7%
범어동 3
 
1.7%
달성군 3
 
1.7%
용수동 3
 
1.7%
남구 2
 
1.1%
Other values (78) 85
48.0%
2024-04-20T23:50:01.076972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
19.4%
구 85
 
9.3%
동 53
 
5.8%
지 46
 
5.0%
대 45
 
4.9%
번 43
 
4.7%
광 43
 
4.7%
역 43
 
4.7%
시 43
 
4.7%
1 34
 
3.7%
Other values (70) 299
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
59.6%
Space Separator 177
 
19.4%
Decimal Number 159
 
17.5%
Dash Punctuation 32
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 85
15.7%
동 53
9.8%
지 46
 
8.5%
대 45
 
8.3%
번 43
 
7.9%
광 43
 
7.9%
역 43
 
7.9%
시 43
 
7.9%
중 12
 
2.2%
성 11
 
2.0%
Other values (58) 119
21.9%
Decimal Number
ValueCountFrequency (%)
1 34
21.4%
0 20
12.6%
6 16
10.1%
8 16
10.1%
9 14
8.8%
2 13
 
8.2%
3 13
 
8.2%
4 13
 
8.2%
7 11
 
6.9%
5 9
 
5.7%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 543
59.6%
Common 368
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 85
15.7%
동 53
9.8%
지 46
 
8.5%
대 45
 
8.3%
번 43
 
7.9%
광 43
 
7.9%
역 43
 
7.9%
시 43
 
7.9%
중 12
 
2.2%
성 11
 
2.0%
Other values (58) 119
21.9%
Common
ValueCountFrequency (%)
177
48.1%
1 34
 
9.2%
- 32
 
8.7%
0 20
 
5.4%
6 16
 
4.3%
8 16
 
4.3%
9 14
 
3.8%
2 13
 
3.5%
3 13
 
3.5%
4 13
 
3.5%
Other values (2) 20
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
59.6%
ASCII 368
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
48.1%
1 34
 
9.2%
- 32
 
8.7%
0 20
 
5.4%
6 16
 
4.3%
8 16
 
4.3%
9 14
 
3.8%
2 13
 
3.5%
3 13
 
3.5%
4 13
 
3.5%
Other values (2) 20
 
5.4%
Hangul
ValueCountFrequency (%)
구 85
15.7%
동 53
9.8%
지 46
 
8.5%
대 45
 
8.3%
번 43
 
7.9%
광 43
 
7.9%
역 43
 
7.9%
시 43
 
7.9%
중 12
 
2.2%
성 11
 
2.0%
Other values (58) 119
21.9%

도로명전체주소
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Memory size472.0 B
2024-04-20T23:50:02.482248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.904762
Min length21

Characters and Unicode

Total characters1046
Distinct characters115
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

Unique42 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 종로 37 (종로2가)
2nd row대구광역시 중구 국채보상로 525 (하서동)
3rd row대구광역시 중구 교동4길 16 (교동)
4th row대구광역시 중구 중앙대로81길 13 (동일동)
5th row대구광역시 중구 국채보상로123길 23 (동문동)
ValueCountFrequency (%)
대구광역시 42
 
19.4%
중구 12
 
5.5%
동구 11
 
5.1%
수성구 7
 
3.2%
달서구 4
 
1.8%
달성군 3
 
1.4%
동대구로 3
 
1.4%
신천동 3
 
1.4%
용수동 3
 
1.4%
범어동 3
 
1.4%
Other values (110) 126
58.1%
2024-04-20T23:50:04.218010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
17.7%
구 90
 
8.6%
동 65
 
6.2%
대 53
 
5.1%
광 43
 
4.1%
역 42
 
4.0%
시 42
 
4.0%
1 42
 
4.0%
로 42
 
4.0%
) 39
 
3.7%
Other values (105) 403
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
60.8%
Space Separator 185
 
17.7%
Decimal Number 140
 
13.4%
Close Punctuation 39
 
3.7%
Open Punctuation 39
 
3.7%
Other Punctuation 5
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 90
14.2%
동 65
 
10.2%
대 53
 
8.3%
광 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
로 42
 
6.6%
성 17
 
2.7%
중 14
 
2.2%
길 13
 
2.0%
Other values (90) 215
33.8%
Decimal Number
ValueCountFrequency (%)
1 42
30.0%
2 20
14.3%
5 14
 
10.0%
3 13
 
9.3%
4 13
 
9.3%
0 10
 
7.1%
7 10
 
7.1%
6 10
 
7.1%
8 5
 
3.6%
9 3
 
2.1%
Space Separator
ValueCountFrequency (%)
185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
60.8%
Common 410
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 90
14.2%
동 65
 
10.2%
대 53
 
8.3%
광 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
로 42
 
6.6%
성 17
 
2.7%
중 14
 
2.2%
길 13
 
2.0%
Other values (90) 215
33.8%
Common
ValueCountFrequency (%)
185
45.1%
1 42
 
10.2%
) 39
 
9.5%
( 39
 
9.5%
2 20
 
4.9%
5 14
 
3.4%
3 13
 
3.2%
4 13
 
3.2%
0 10
 
2.4%
7 10
 
2.4%
Other values (5) 25
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
60.8%
ASCII 410
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
45.1%
1 42
 
10.2%
) 39
 
9.5%
( 39
 
9.5%
2 20
 
4.9%
5 14
 
3.4%
3 13
 
3.2%
4 13
 
3.2%
0 10
 
2.4%
7 10
 
2.4%
Other values (5) 25
 
6.1%
Hangul
ValueCountFrequency (%)
구 90
14.2%
동 65
 
10.2%
대 53
 
8.3%
광 43
 
6.8%
역 42
 
6.6%
시 42
 
6.6%
로 42
 
6.6%
성 17
 
2.7%
중 14
 
2.2%
길 13
 
2.0%
Other values (90) 215
33.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean112920.54
Minimum41007
Maximum711856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:04.588378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41022.75
Q141805.25
median41932.5
Q342185.5
95-th percentile701691.55
Maximum711856
Range670849
Interquartile range (IQR)380.25

Descriptive statistics

Standard deviation208887.36
Coefficient of variation (CV)1.8498616
Kurtosis5.6161835
Mean112920.54
Median Absolute Deviation (MAD)263.5
Skewness2.6867247
Sum3161775
Variance4.3633931 × 1010
MonotonicityNot monotonic
2024-04-20T23:50:04.965597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
41913 3
 
7.0%
41007 2
 
4.7%
43013 2
 
4.7%
41059 2
 
4.7%
711856 1
 
2.3%
42842 1
 
2.3%
42117 1
 
2.3%
42139 1
 
2.3%
42064 1
 
2.3%
42175 1
 
2.3%
Other values (13) 13
30.2%
(Missing) 15
34.9%
ValueCountFrequency (%)
41007 2
4.7%
41052 1
 
2.3%
41059 2
4.7%
41159 1
 
2.3%
41515 1
 
2.3%
41902 1
 
2.3%
41910 1
 
2.3%
41913 3
7.0%
41921 1
 
2.3%
41931 1
 
2.3%
ValueCountFrequency (%)
711856 1
2.3%
701827 1
2.3%
701440 1
2.3%
43013 2
4.7%
42842 1
2.3%
42217 1
2.3%
42175 1
2.3%
42139 1
2.3%
42117 1
2.3%
42064 1
2.3%

사업장명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-04-20T23:50:05.878607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length12
Mean length8.8604651
Min length3

Characters and Unicode

Total characters381
Distinct characters117
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

Unique43 ?
Unique (%)100.0%

Sample

1st row쎈추럴관광호텔
2nd row영진아미고호텔(주)
3rd row쿼츠호스텔
4th row2월호텔 동성로점
5th row노블스테이
ValueCountFrequency (%)
호텔 6
 
9.0%
주)호텔 3
 
4.5%
호스텔 2
 
3.0%
주)파라다이스 1
 
1.5%
뉴영남관광호텔 1
 
1.5%
라온제나 1
 
1.5%
황금관광호텔 1
 
1.5%
주)뉴대구호텔 1
 
1.5%
주 1
 
1.5%
더 1
 
1.5%
Other values (49) 49
73.1%
2024-04-20T23:50:07.128359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 41
 
10.8%
호 40
 
10.5%
24
 
6.3%
( 15
 
3.9%
) 15
 
3.9%
주 14
 
3.7%
스 13
 
3.4%
관 11
 
2.9%
광 11
 
2.9%
아 7
 
1.8%
Other values (107) 190
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
79.5%
Space Separator 24
 
6.3%
Lowercase Letter 17
 
4.5%
Open Punctuation 15
 
3.9%
Close Punctuation 15
 
3.9%
Uppercase Letter 4
 
1.0%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 41
 
13.5%
호 40
 
13.2%
주 14
 
4.6%
스 13
 
4.3%
관 11
 
3.6%
광 11
 
3.6%
아 7
 
2.3%
이 7
 
2.3%
리 6
 
2.0%
구 6
 
2.0%
Other values (87) 147
48.5%
Lowercase Letter
ValueCountFrequency (%)
l 4
23.5%
a 2
11.8%
g 2
11.8%
o 2
11.8%
i 2
11.8%
t 1
 
5.9%
e 1
 
5.9%
m 1
 
5.9%
n 1
 
5.9%
s 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
H 1
25.0%
P 1
25.0%
G 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%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
79.5%
Common 57
 
15.0%
Latin 21
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 41
 
13.5%
호 40
 
13.2%
주 14
 
4.6%
스 13
 
4.3%
관 11
 
3.6%
광 11
 
3.6%
아 7
 
2.3%
이 7
 
2.3%
리 6
 
2.0%
구 6
 
2.0%
Other values (87) 147
48.5%
Latin
ValueCountFrequency (%)
l 4
19.0%
a 2
9.5%
g 2
9.5%
o 2
9.5%
i 2
9.5%
t 1
 
4.8%
E 1
 
4.8%
e 1
 
4.8%
H 1
 
4.8%
m 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
24
42.1%
( 15
26.3%
) 15
26.3%
- 1
 
1.8%
' 1
 
1.8%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
79.5%
ASCII 78
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 41
 
13.5%
호 40
 
13.2%
주 14
 
4.6%
스 13
 
4.3%
관 11
 
3.6%
광 11
 
3.6%
아 7
 
2.3%
이 7
 
2.3%
리 6
 
2.0%
구 6
 
2.0%
Other values (87) 147
48.5%
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%
t 1
 
1.3%
E 1
 
1.3%
Other values (10) 10
12.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156763 × 1013
Minimum2.0060608 × 1013
Maximum2.0191128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:07.532111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060608 × 1013
5-th percentile2.0062014 × 1013
Q12.0125509 × 1013
median2.0180403 × 1013
Q32.0190507 × 1013
95-th percentile2.0191096 × 1013
Maximum2.0191128 × 1013
Range1.3051997 × 1011
Interquartile range (IQR)6.4998003 × 1010

Descriptive statistics

Standard deviation4.553699 × 1010
Coefficient of variation (CV)0.002259142
Kurtosis-0.23626439
Mean2.0156763 × 1013
Median Absolute Deviation (MAD)1.0222993 × 1010
Skewness-1.1758721
Sum8.6674083 × 1014
Variance2.0736175 × 1021
MonotonicityNot monotonic
2024-04-20T23:50:07.984144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20080326191844 1
 
2.3%
20111129162851 1
 
2.3%
20180515092001 1
 
2.3%
20101213133552 1
 
2.3%
20190801140600 1
 
2.3%
20190319101249 1
 
2.3%
20120102154056 1
 
2.3%
20171017162454 1
 
2.3%
20171017162517 1
 
2.3%
20180112104954 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
20060608171721 1
2.3%
20061027154801 1
2.3%
20061113114959 1
2.3%
20070118173403 1
2.3%
20070222151435 1
2.3%
20080326191844 1
2.3%
20090813093253 1
2.3%
20100601134928 1
2.3%
20101213133552 1
2.3%
20111129162851 1
2.3%
ValueCountFrequency (%)
20191128140114 1
2.3%
20191121101712 1
2.3%
20191115094927 1
2.3%
20190923171346 1
2.3%
20190923171230 1
2.3%
20190813172705 1
2.3%
20190801140600 1
2.3%
20190716111621 1
2.3%
20190626093815 1
2.3%
20190604093924 1
2.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size472.0 B
I
29 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 29
67.4%
U 14
32.6%

Length

2024-04-20T23:50:08.619624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:08.934068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
67.4%
u 14
32.6%

데이터갱신일자
Categorical

Distinct17
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size472.0 B
2018-08-31 23:59:59.0
26 
2019-09-25 02:40:00.0
 
2
2019-06-28 02:40:00.0
 
1
2019-03-06 02:40:00.0
 
1
2019-07-18 02:40:00.0
 
1
Other values (12)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)34.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2019-11-23 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 26
60.5%
2019-09-25 02:40:00.0 2
 
4.7%
2019-06-28 02:40:00.0 1
 
2.3%
2019-03-06 02:40:00.0 1
 
2.3%
2019-07-18 02:40:00.0 1
 
2.3%
2019-06-06 02:21:04.0 1
 
2.3%
2019-08-15 02:40:00.0 1
 
2.3%
2019-03-21 02:40:00.0 1
 
2.3%
2019-08-03 02:40:00.0 1
 
2.3%
2019-11-23 02:40:00.0 1
 
2.3%
Other values (7) 7
 
16.3%

Length

2024-04-20T23:50:09.274056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 26
30.2%
23:59:59.0 26
30.2%
02:40:00.0 14
16.3%
2019-09-25 2
 
2.3%
2018-12-19 1
 
1.2%
02:20:36.0 1
 
1.2%
2019-05-02 1
 
1.2%
2019-11-30 1
 
1.2%
02:21:01.0 1
 
1.2%
2019-05-15 1
 
1.2%
Other values (12) 12
14.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean344453.68
Minimum328508.32
Maximum353987.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:09.643758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328508.32
5-th percentile329318.32
Q1343192.34
median344252.2
Q3346940.31
95-th percentile352643.22
Maximum353987.71
Range25479.384
Interquartile range (IQR)3747.9698

Descriptive statistics

Standard deviation5827.3178
Coefficient of variation (CV)0.016917566
Kurtosis2.2354686
Mean344453.68
Median Absolute Deviation (MAD)2347.6666
Skewness-1.1395587
Sum14467055
Variance33957633
MonotonicityNot monotonic
2024-04-20T23:50:10.071243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
343650.775166 1
 
2.3%
346507.147444 1
 
2.3%
340481.164687 1
 
2.3%
344280.758889 1
 
2.3%
343216.888499 1
 
2.3%
345396.560356 1
 
2.3%
346946.370685 1
 
2.3%
346271.979582 1
 
2.3%
346576.826067 1
 
2.3%
349910.333288 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
328508.323419 1
2.3%
328548.352834 1
2.3%
328965.130661 1
2.3%
336028.850829 1
2.3%
340382.619774 1
2.3%
340481.164687 1
2.3%
340751.875654 1
2.3%
341937.139309 1
2.3%
342040.07834 1
2.3%
343148.565978 1
2.3%
ValueCountFrequency (%)
353987.707678 1
2.3%
353961.314792 1
2.3%
352652.333024 1
2.3%
352470.098967 1
2.3%
352283.632829 1
2.3%
350017.050041 1
2.3%
349910.333288 1
2.3%
348302.074149 1
2.3%
347946.247615 1
2.3%
347004.198893 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean263647.93
Minimum239016.21
Maximum278141.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:10.466471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239016.21
5-th percentile250625.48
Q1262838.96
median264481.15
Q3265207.79
95-th percentile277606.67
Maximum278141.39
Range39125.179
Interquartile range (IQR)2368.8316

Descriptive statistics

Standard deviation7282.3457
Coefficient of variation (CV)0.027621479
Kurtosis5.8245307
Mean263647.93
Median Absolute Deviation (MAD)1392.5524
Skewness-1.5330569
Sum11073213
Variance53032559
MonotonicityNot monotonic
2024-04-20T23:50:10.917180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
264390.749311 1
 
2.3%
262714.226889 1
 
2.3%
263539.732811 1
 
2.3%
261404.052274 1
 
2.3%
262962.037923 1
 
2.3%
268598.942833 1
 
2.3%
263395.22446 1
 
2.3%
259441.744147 1
 
2.3%
260428.96631 1
 
2.3%
264894.753601 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
239016.209158 1
2.3%
239017.56085 1
2.3%
250161.463857 1
2.3%
259441.744147 1
2.3%
260327.827673 1
2.3%
260428.96631 1
2.3%
261277.78301 1
2.3%
261404.052274 1
2.3%
262620.604122 1
2.3%
262714.226889 1
2.3%
ValueCountFrequency (%)
278141.388025 1
2.3%
278091.653532 1
2.3%
278080.761551 1
2.3%
268598.942833 1
2.3%
267876.718368 1
2.3%
266764.712192 1
2.3%
266755.077008 1
2.3%
266725.430562 1
2.3%
265964.899542 1
2.3%
265463.585518 1
2.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
관광숙박업
43 

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 43
100.0%

Length

2024-04-20T23:50:11.334695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:11.644430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 43
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size472.0 B
관광사업
29 
<NA>
14 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 29
67.4%
<NA> 14
32.6%

Length

2024-04-20T23:50:11.972799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:12.285254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 29
67.4%
na 14
32.6%

지역구분명
Categorical

Distinct8
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
23 
중심상업지역
11 
근린상업지역
 
2
일반상업지역
 
2
준공업지역
 
2
Other values (3)
3 

Length

Max length6
Median length4
Mean length4.8139535
Min length4

Unique

Unique3 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
53.5%
중심상업지역 11
25.6%
근린상업지역 2
 
4.7%
일반상업지역 2
 
4.7%
준공업지역 2
 
4.7%
일반주거지역 1
 
2.3%
상업지역 1
 
2.3%
준주거지역 1
 
2.3%

Length

2024-04-20T23:50:12.737700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:13.119962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
53.5%
중심상업지역 11
25.6%
근린상업지역 2
 
4.7%
일반상업지역 2
 
4.7%
준공업지역 2
 
4.7%
일반주거지역 1
 
2.3%
상업지역 1
 
2.3%
준주거지역 1
 
2.3%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)51.9%
Missing16
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean9.6296296
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:13.496986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.5
median8
Q313
95-th percentile20.7
Maximum23
Range22
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.7388564
Coefficient of variation (CV)0.59595817
Kurtosis0.077395057
Mean9.6296296
Median Absolute Deviation (MAD)4
Skewness0.71883617
Sum260
Variance32.934473
MonotonicityNot monotonic
2024-04-20T23:50:13.703077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 5
 
11.6%
8 4
 
9.3%
12 3
 
7.0%
2 2
 
4.7%
13 2
 
4.7%
4 2
 
4.7%
14 2
 
4.7%
21 1
 
2.3%
23 1
 
2.3%
6 1
 
2.3%
Other values (4) 4
 
9.3%
(Missing) 16
37.2%
ValueCountFrequency (%)
1 1
 
2.3%
2 2
 
4.7%
4 2
 
4.7%
5 1
 
2.3%
6 1
 
2.3%
7 5
11.6%
8 4
9.3%
12 3
7.0%
13 2
 
4.7%
14 2
 
4.7%
ValueCountFrequency (%)
23 1
 
2.3%
21 1
 
2.3%
20 1
 
2.3%
15 1
 
2.3%
14 2
 
4.7%
13 2
 
4.7%
12 3
7.0%
8 4
9.3%
7 5
11.6%
6 1
 
2.3%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
40 
기타
 
3

Length

Max length4
Median length4
Mean length3.8604651
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> 40
93.0%
기타 3
 
7.0%

Length

2024-04-20T23:50:13.999849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:14.345012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
기타 3
 
7.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

보험기관명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing38
Missing (%)88.4%
Memory size472.0 B
2024-04-20T23:50:14.879861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length10.2
Min length8

Characters and Unicode

Total characters51
Distinct characters29
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

Unique3 ?
Unique (%)60.0%

Sample

1st row삼성화재 525-86-01201
2nd row현대해상화재보험
3rd row재난배상책임보험
4th row농협손해보험주식회사
5th row현대해상화재보험
ValueCountFrequency (%)
현대해상화재보험 2
33.3%
삼성화재 1
16.7%
525-86-01201 1
16.7%
재난배상책임보험 1
16.7%
농협손해보험주식회사 1
16.7%
2024-04-20T23:50:15.527227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 4
 
7.8%
보 4
 
7.8%
험 4
 
7.8%
해 3
 
5.9%
상 3
 
5.9%
화 3
 
5.9%
현 2
 
3.9%
1 2
 
3.9%
0 2
 
3.9%
5 2
 
3.9%
Other values (19) 22
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
74.5%
Decimal Number 10
 
19.6%
Dash Punctuation 2
 
3.9%
Space Separator 1
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 4
 
10.5%
보 4
 
10.5%
험 4
 
10.5%
해 3
 
7.9%
상 3
 
7.9%
화 3
 
7.9%
현 2
 
5.3%
대 2
 
5.3%
손 1
 
2.6%
협 1
 
2.6%
Other values (11) 11
28.9%
Decimal Number
ValueCountFrequency (%)
1 2
20.0%
0 2
20.0%
5 2
20.0%
2 2
20.0%
8 1
10.0%
6 1
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38
74.5%
Common 13
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 4
 
10.5%
보 4
 
10.5%
험 4
 
10.5%
해 3
 
7.9%
상 3
 
7.9%
화 3
 
7.9%
현 2
 
5.3%
대 2
 
5.3%
손 1
 
2.6%
협 1
 
2.6%
Other values (11) 11
28.9%
Common
ValueCountFrequency (%)
1 2
15.4%
0 2
15.4%
5 2
15.4%
2 2
15.4%
- 2
15.4%
8 1
7.7%
6 1
7.7%
1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38
74.5%
ASCII 13
 
25.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 4
 
10.5%
보 4
 
10.5%
험 4
 
10.5%
해 3
 
7.9%
상 3
 
7.9%
화 3
 
7.9%
현 2
 
5.3%
대 2
 
5.3%
손 1
 
2.6%
협 1
 
2.6%
Other values (11) 11
28.9%
ASCII
ValueCountFrequency (%)
1 2
15.4%
0 2
15.4%
5 2
15.4%
2 2
15.4%
- 2
15.4%
8 1
7.7%
6 1
7.7%
1
7.7%

건물용도명
Categorical

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
24 
숙박시설
10 
호텔
8 
여인숙
 
1

Length

Max length4
Median length4
Mean length3.6046512
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
숙박시설 10
23.3%
호텔 8
 
18.6%
여인숙 1
 
2.3%

Length

2024-04-20T23:50:15.987936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:16.319090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
숙박시설 10
23.3%
호텔 8
 
18.6%
여인숙 1
 
2.3%

지상층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)41.9%
Missing12
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean7.3870968
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:16.494145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.5
median7
Q310
95-th percentile13.5
Maximum19
Range18
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.8959588
Coefficient of variation (CV)0.52740053
Kurtosis1.7652313
Mean7.3870968
Median Absolute Deviation (MAD)3
Skewness0.94927267
Sum229
Variance15.178495
MonotonicityNot monotonic
2024-04-20T23:50:16.710377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7 6
14.0%
6 5
11.6%
10 4
 
9.3%
11 3
 
7.0%
2 2
 
4.7%
3 2
 
4.7%
4 2
 
4.7%
8 2
 
4.7%
19 1
 
2.3%
5 1
 
2.3%
Other values (3) 3
 
7.0%
(Missing) 12
27.9%
ValueCountFrequency (%)
1 1
 
2.3%
2 2
 
4.7%
3 2
 
4.7%
4 2
 
4.7%
5 1
 
2.3%
6 5
11.6%
7 6
14.0%
8 2
 
4.7%
9 1
 
2.3%
10 4
9.3%
ValueCountFrequency (%)
19 1
 
2.3%
16 1
 
2.3%
11 3
7.0%
10 4
9.3%
9 1
 
2.3%
8 2
 
4.7%
7 6
14.0%
6 5
11.6%
5 1
 
2.3%
4 2
 
4.7%

지하층수
Categorical

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
1
16 
<NA>
14 
2
8 
4
3 
5
 
1

Length

Max length4
Median length1
Mean length1.9767442
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
37.2%
<NA> 14
32.6%
2 8
18.6%
4 3
 
7.0%
5 1
 
2.3%
6 1
 
2.3%

Length

2024-04-20T23:50:17.033297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:17.389111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
37.2%
na 14
32.6%
2 8
18.6%
4 3
 
7.0%
5 1
 
2.3%
6 1
 
2.3%

객실수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing24
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean77.842105
Minimum2
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:17.683511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10.1
Q141
median51
Q367.5
95-th percentile223.8
Maximum303
Range301
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation78.175915
Coefficient of variation (CV)1.0042883
Kurtosis3.1939253
Mean77.842105
Median Absolute Deviation (MAD)14
Skewness1.9176032
Sum1479
Variance6111.4737
MonotonicityNot monotonic
2024-04-20T23:50:18.040556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
51 3
 
7.0%
44 2
 
4.7%
36 1
 
2.3%
54 1
 
2.3%
70 1
 
2.3%
303 1
 
2.3%
52 1
 
2.3%
38 1
 
2.3%
2 1
 
2.3%
110 1
 
2.3%
Other values (6) 6
 
14.0%
(Missing) 24
55.8%
ValueCountFrequency (%)
2 1
 
2.3%
11 1
 
2.3%
16 1
 
2.3%
36 1
 
2.3%
38 1
 
2.3%
44 2
4.7%
51 3
7.0%
52 1
 
2.3%
54 1
 
2.3%
62 1
 
2.3%
ValueCountFrequency (%)
303 1
 
2.3%
215 1
 
2.3%
204 1
 
2.3%
110 1
 
2.3%
70 1
 
2.3%
65 1
 
2.3%
62 1
 
2.3%
54 1
 
2.3%
52 1
 
2.3%
51 3
7.0%

건축연면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing33
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean15044.9
Minimum572
Maximum49964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:18.392837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum572
5-th percentile1647.95
Q13390
median6953
Q320492.25
95-th percentile43637.45
Maximum49964
Range49392
Interquartile range (IQR)17102.25

Descriptive statistics

Standard deviation16556.852
Coefficient of variation (CV)1.100496
Kurtosis0.85678842
Mean15044.9
Median Absolute Deviation (MAD)5185.5
Skewness1.3118735
Sum150449
Variance2.7412936 × 108
MonotonicityNot monotonic
2024-04-20T23:50:18.744059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3364 1
 
2.3%
20831 1
 
2.3%
572 1
 
2.3%
5791 1
 
2.3%
19476 1
 
2.3%
35905 1
 
2.3%
2963 1
 
2.3%
8115 1
 
2.3%
49964 1
 
2.3%
3468 1
 
2.3%
(Missing) 33
76.7%
ValueCountFrequency (%)
572 1
2.3%
2963 1
2.3%
3364 1
2.3%
3468 1
2.3%
5791 1
2.3%
8115 1
2.3%
19476 1
2.3%
20831 1
2.3%
35905 1
2.3%
49964 1
2.3%
ValueCountFrequency (%)
49964 1
2.3%
35905 1
2.3%
20831 1
2.3%
19476 1
2.3%
8115 1
2.3%
5791 1
2.3%
3468 1
2.3%
3364 1
2.3%
2963 1
2.3%
572 1
2.3%

영문상호명
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing28
Missing (%)65.1%
Memory size472.0 B
2024-04-20T23:50:19.357404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length20.8
Min length9

Characters and Unicode

Total characters312
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowQuartz Hostel
2nd rowHOTEL FEBRUARY DONGSUNGRO
3rd rowNOBLESTAY
4th rowTOYOKO INN KOREA CO.,LTD
5th rowUnion Tourist Hotel
ValueCountFrequency (%)
hotel 9
20.0%
hostel 3
 
6.7%
tourist 3
 
6.7%
daegu 2
 
4.4%
quartz 1
 
2.2%
ltd 1
 
2.2%
yeonjeon 1
 
2.2%
development 1
 
2.2%
co 1
 
2.2%
j's 1
 
2.2%
Other values (22) 22
48.9%
2024-04-20T23:50:20.398429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
9.9%
o 20
 
6.4%
E 18
 
5.8%
e 18
 
5.8%
t 17
 
5.4%
O 17
 
5.4%
l 14
 
4.5%
H 13
 
4.2%
s 12
 
3.8%
N 11
 
3.5%
Other values (40) 141
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 138
44.2%
Uppercase Letter 135
43.3%
Space Separator 31
 
9.9%
Other Punctuation 6
 
1.9%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 18
13.3%
O 17
12.6%
H 13
 
9.6%
N 11
 
8.1%
T 11
 
8.1%
L 8
 
5.9%
D 6
 
4.4%
Y 6
 
4.4%
S 5
 
3.7%
A 5
 
3.7%
Other values (15) 35
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 20
14.5%
e 18
13.0%
t 17
12.3%
l 14
10.1%
s 12
8.7%
n 9
6.5%
a 8
 
5.8%
i 7
 
5.1%
r 7
 
5.1%
u 7
 
5.1%
Other values (10) 19
13.8%
Other Punctuation
ValueCountFrequency (%)
' 2
33.3%
, 2
33.3%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 273
87.5%
Common 39
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 20
 
7.3%
E 18
 
6.6%
e 18
 
6.6%
t 17
 
6.2%
O 17
 
6.2%
l 14
 
5.1%
H 13
 
4.8%
s 12
 
4.4%
N 11
 
4.0%
T 11
 
4.0%
Other values (35) 122
44.7%
Common
ValueCountFrequency (%)
31
79.5%
' 2
 
5.1%
- 2
 
5.1%
, 2
 
5.1%
. 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
 
9.9%
o 20
 
6.4%
E 18
 
5.8%
e 18
 
5.8%
t 17
 
5.4%
O 17
 
5.4%
l 14
 
4.5%
H 13
 
4.2%
s 12
 
3.8%
N 11
 
3.5%
Other values (40) 141
45.2%

영문상호주소
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size472.0 B
<NA>
28 
Tourist Hotel
11 
Hostel
 
2
HOTEL
 
1
Tourist Hostel
 
1

Length

Max length14
Median length4
Mean length6.6511628
Min length4

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
65.1%
Tourist Hotel 11
 
25.6%
Hostel 2
 
4.7%
HOTEL 1
 
2.3%
Tourist Hostel 1
 
2.3%

Length

2024-04-20T23:50:20.629584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:20.855288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
50.9%
tourist 12
21.8%
hotel 12
21.8%
hostel 3
 
5.5%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean9290.8814
Minimum106.98
Maximum35935.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:21.123758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106.98
5-th percentile380.7295
Q12802.3375
median4006.815
Q311698.415
95-th percentile35375.853
Maximum35935.16
Range35828.18
Interquartile range (IQR)8896.0775

Descriptive statistics

Standard deviation11114.55
Coefficient of variation (CV)1.1962859
Kurtosis1.2411539
Mean9290.8814
Median Absolute Deviation (MAD)2746.295
Skewness1.5446365
Sum260144.68
Variance1.2353322 × 108
MonotonicityNot monotonic
2024-04-20T23:50:21.513454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3467.96 2
 
4.7%
18543.56 1
 
2.3%
16796.6 1
 
2.3%
9999.02 1
 
2.3%
24175.79 1
 
2.3%
2494.35 1
 
2.3%
2905.0 1
 
2.3%
34393.71 1
 
2.3%
6314.0 1
 
2.3%
2962.68 1
 
2.3%
Other values (17) 17
39.5%
(Missing) 15
34.9%
ValueCountFrequency (%)
106.98 1
2.3%
368.07 1
2.3%
404.24 1
2.3%
537.08 1
2.3%
821.41 1
2.3%
2032.32 1
2.3%
2494.35 1
2.3%
2905.0 1
2.3%
2962.68 1
2.3%
3223.32 1
2.3%
ValueCountFrequency (%)
35935.16 1
2.3%
35904.7 1
2.3%
34393.71 1
2.3%
24175.79 1
2.3%
19475.91 1
2.3%
18543.56 1
2.3%
16796.6 1
2.3%
9999.02 1
2.3%
7515.17 1
2.3%
6314.0 1
2.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

자본금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing36
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean7.4071429 × 109
Minimum4 × 108
Maximum2 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:21.875899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation6.3836006 × 109
Coefficient of variation (CV)0.86181687
Kurtosis2.5891631
Mean7.4071429 × 109
Median Absolute Deviation (MAD)3 × 109
Skewness1.3404717
Sum5.185 × 1010
Variance4.0750357 × 1019
MonotonicityNot monotonic
2024-04-20T23:50:22.139308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6000000000 2
 
4.7%
20000000000 1
 
2.3%
9000000000 1
 
2.3%
400000000 1
 
2.3%
8450000000 1
 
2.3%
2000000000 1
 
2.3%
(Missing) 36
83.7%
ValueCountFrequency (%)
400000000 1
2.3%
2000000000 1
2.3%
6000000000 2
4.7%
8450000000 1
2.3%
9000000000 1
2.3%
20000000000 1
2.3%
ValueCountFrequency (%)
20000000000 1
2.3%
9000000000 1
2.3%
8450000000 1
2.3%
6000000000 2
4.7%
2000000000 1
2.3%
400000000 1
2.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size515.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean9290.8929
Minimum107
Maximum35935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-04-20T23:50:22.350237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile380.6
Q12802.25
median4007
Q311698.5
95-th percentile35376.15
Maximum35935
Range35828
Interquartile range (IQR)8896.25

Descriptive statistics

Standard deviation11114.659
Coefficient of variation (CV)1.1962961
Kurtosis1.2410786
Mean9290.8929
Median Absolute Deviation (MAD)2746.5
Skewness1.5446148
Sum260145
Variance1.2353564 × 108
MonotonicityNot monotonic
2024-04-20T23:50:22.774559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3468 2
 
4.7%
18544 1
 
2.3%
16797 1
 
2.3%
9999 1
 
2.3%
24176 1
 
2.3%
2494 1
 
2.3%
2905 1
 
2.3%
34394 1
 
2.3%
6314 1
 
2.3%
2963 1
 
2.3%
Other values (17) 17
39.5%
(Missing) 15
34.9%
ValueCountFrequency (%)
107 1
2.3%
368 1
2.3%
404 1
2.3%
537 1
2.3%
821 1
2.3%
2032 1
2.3%
2494 1
2.3%
2905 1
2.3%
2963 1
2.3%
3223 1
2.3%
ValueCountFrequency (%)
35935 1
2.3%
35905 1
2.3%
34394 1
2.3%
24176 1
2.3%
19476 1
2.3%
18544 1
2.3%
16797 1
2.3%
9999 1
2.3%
7515 1
2.3%
6314 1
2.3%

관광숙박업상세명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
관광호텔업
24 
<NA>
15 
호스텔업
4 

Length

Max length5
Median length5
Mean length4.5581395
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 24
55.8%
<NA> 15
34.9%
호스텔업 4
 
9.3%

Length

2024-04-20T23:50:23.187546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:50:23.727650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 24
55.8%
na 15
34.9%
호스텔업 4
 
9.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
01관광숙박업03_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>
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_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
34관광숙박업03_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
45관광숙박업03_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
56관광숙박업03_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 대구동성로20190501151420I2019-05-02 02:20:36.0<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
67관광숙박업03_11_01_P3410000CDFI226003198900000119890131<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-2221<NA>700112대구광역시 중구 태평로2가 1-9번지대구광역시 중구 태평로 117 (태평로2가)41902유니온관광호텔20160809172418I2018-08-31 23:59:59.0<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
78관광숙박업03_11_01_P3410000CDFI226003200800000120080704<NA>1영업/정상13영업중<NA><NA><NA><NA>053-664-1155<NA>700733대구광역시 중구 문화동 11-1번지대구광역시 중구 국채보상로 611 (문화동)41913노보텔 앰배서더 대구20191128140114U2019-11-30 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
89관광숙박업03_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
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
3334관광숙박업03_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>
3435관광숙박업03_11_01_P3460000CDFI226003199200000119921205<NA>1영업/정상13영업중<NA><NA><NA><NA>742-0001<NA>706824대구광역시 수성구 범어동 563-1번지대구광역시 수성구 동대구로 305 (범어동)42117(주)그랜드관광호텔20171017162544I2018-08-31 23:59:59.0<NA>346741.524474263179.794654관광숙박업관광사업중심상업지역15<NA><NA><NA>호텔114<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24175.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24176관광호텔업
3536관광숙박업03_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>
3637관광숙박업03_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>
3738관광숙박업03_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
3839관광숙박업03_11_01_P3470000CDFI226003201900000120190604<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 대곡동 1089번지대구광역시 달서구 갈밭남로 45 (대곡동)42842호텔 엘리시아20190604093924I2019-06-06 02:21:04.0<NA><NA><NA>관광숙박업<NA>준주거지역<NA><NA><NA><NA><NA>61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관광호텔업
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_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
4142관광숙박업03_11_01_P3480000CDFI226003200400000120041015<NA>2휴업2휴업<NA>2019021820200217<NA>053-555-7221<NA>711858대구광역시 달성군 논공읍 하리 509번지대구광역시 달성군 논공읍 약산덧재길 81711856(주)파라다이스 온천호텔20190304151826U2019-03-06 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
4243관광숙박업03_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