Overview

Dataset statistics

Number of variables32
Number of observations4550
Missing cells42959
Missing cells (%)29.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory275.0 B

Variable types

Numeric11
Categorical8
Text6
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_11_46_02_P_민방위대피시설_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092393&dataSetDetailId=DDI_0000092406&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
시설구분명 is highly imbalanced (80.0%)Imbalance
인허가취소일자 has 774 (17.0%) missing valuesMissing
폐업일자 has 774 (17.0%) missing valuesMissing
휴업시작일자 has 4550 (100.0%) missing valuesMissing
휴업종료일자 has 4550 (100.0%) missing valuesMissing
재개업일자 has 4550 (100.0%) missing valuesMissing
소재지전화 has 4550 (100.0%) missing valuesMissing
소재지우편번호 has 4550 (100.0%) missing valuesMissing
도로명전체주소 has 2722 (59.8%) missing valuesMissing
도로명우편번호 has 3555 (78.1%) missing valuesMissing
업태구분명 has 4550 (100.0%) missing valuesMissing
좌표정보(X) has 3519 (77.3%) missing valuesMissing
좌표정보(Y) has 3519 (77.3%) missing valuesMissing
해제일자 has 774 (17.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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

Reproduction

Analysis started2023-12-10 19:55:31.172020
Analysis finished2023-12-10 19:55:33.367529
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4550
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2275.5
Minimum1
Maximum4550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:33.461455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile228.45
Q11138.25
median2275.5
Q33412.75
95-th percentile4322.55
Maximum4550
Range4549
Interquartile range (IQR)2274.5

Descriptive statistics

Standard deviation1313.6162
Coefficient of variation (CV)0.57728683
Kurtosis-1.2
Mean2275.5
Median Absolute Deviation (MAD)1137.5
Skewness0
Sum10353525
Variance1725587.5
MonotonicityStrictly increasing
2023-12-11T04:55:33.615779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3033 1
 
< 0.1%
3039 1
 
< 0.1%
3038 1
 
< 0.1%
3037 1
 
< 0.1%
3036 1
 
< 0.1%
3035 1
 
< 0.1%
3034 1
 
< 0.1%
3032 1
 
< 0.1%
3041 1
 
< 0.1%
Other values (4540) 4540
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4550 1
< 0.1%
4549 1
< 0.1%
4548 1
< 0.1%
4547 1
< 0.1%
4546 1
< 0.1%
4545 1
< 0.1%
4544 1
< 0.1%
4543 1
< 0.1%
4542 1
< 0.1%
4541 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
민방위대피시설
4550 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민방위대피시설 4550
100.0%

Length

2023-12-11T04:55:33.789574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:33.913406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위대피시설 4550
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
11_46_02_P
4550 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_46_02_P
2nd row11_46_02_P
3rd row11_46_02_P
4th row11_46_02_P
5th row11_46_02_P

Common Values

ValueCountFrequency (%)
11_46_02_P 4550
100.0%

Length

2023-12-11T04:55:34.060788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:34.195524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_02_p 4550
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440404.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:34.303447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3430000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20020.082
Coefficient of variation (CV)0.0058191071
Kurtosis-1.1731631
Mean3440404.4
Median Absolute Deviation (MAD)10000
Skewness0.24962525
Sum1.565384 × 1010
Variance4.0080367 × 108
MonotonicityIncreasing
2023-12-11T04:55:34.480921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 1090
24.0%
3420000 797
17.5%
3470000 670
14.7%
3460000 567
12.5%
3450000 516
11.3%
3440000 415
 
9.1%
3410000 396
 
8.7%
3480000 99
 
2.2%
ValueCountFrequency (%)
3410000 396
 
8.7%
3420000 797
17.5%
3430000 1090
24.0%
3440000 415
 
9.1%
3450000 516
11.3%
3460000 567
12.5%
3470000 670
14.7%
3480000 99
 
2.2%
ValueCountFrequency (%)
3480000 99
 
2.2%
3470000 670
14.7%
3460000 567
12.5%
3450000 516
11.3%
3440000 415
 
9.1%
3430000 1090
24.0%
3420000 797
17.5%
3410000 396
 
8.7%

관리번호
Text

UNIQUE 

Distinct4550
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
2023-12-11T04:55:34.767132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters81900
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4550 ?
Unique (%)100.0%

Sample

1st row3410000-S198000006
2nd row3410000-S199700001
3rd row3410000-S199300004
4th row3410000-S199400001
5th row3410000-S197200001
ValueCountFrequency (%)
3410000-s198000006 1
 
< 0.1%
3450000-s200300120 1
 
< 0.1%
3450000-s200300157 1
 
< 0.1%
3450000-s200300156 1
 
< 0.1%
3450000-s200300152 1
 
< 0.1%
3450000-s200300151 1
 
< 0.1%
3450000-s199500146 1
 
< 0.1%
3450000-s200300141 1
 
< 0.1%
3450000-s200300135 1
 
< 0.1%
3450000-s202100001 1
 
< 0.1%
Other values (4540) 4540
99.8%
2023-12-11T04:55:35.251384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36383
44.4%
3 7153
 
8.7%
1 6394
 
7.8%
4 6114
 
7.5%
9 6090
 
7.4%
- 4550
 
5.6%
S 4550
 
5.6%
2 3683
 
4.5%
8 1973
 
2.4%
5 1737
 
2.1%
Other values (2) 3273
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72800
88.9%
Dash Punctuation 4550
 
5.6%
Uppercase Letter 4550
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36383
50.0%
3 7153
 
9.8%
1 6394
 
8.8%
4 6114
 
8.4%
9 6090
 
8.4%
2 3683
 
5.1%
8 1973
 
2.7%
5 1737
 
2.4%
7 1714
 
2.4%
6 1559
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 4550
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 4550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77350
94.4%
Latin 4550
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36383
47.0%
3 7153
 
9.2%
1 6394
 
8.3%
4 6114
 
7.9%
9 6090
 
7.9%
- 4550
 
5.9%
2 3683
 
4.8%
8 1973
 
2.6%
5 1737
 
2.2%
7 1714
 
2.2%
Latin
ValueCountFrequency (%)
S 4550
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36383
44.4%
3 7153
 
8.7%
1 6394
 
7.8%
4 6114
 
7.5%
9 6090
 
7.4%
- 4550
 
5.6%
S 4550
 
5.6%
2 3683
 
4.5%
8 1973
 
2.4%
5 1737
 
2.1%
Other values (2) 3273
 
4.0%

인허가일자
Real number (ℝ)

Distinct926
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19952816
Minimum19300101
Maximum20211213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:35.465118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19300101
5-th percentile19800102
Q119890102
median19950522
Q320030116
95-th percentile20111231
Maximum20211213
Range911112
Interquartile range (IQR)140013.75

Descriptive statistics

Standard deviation99069.283
Coefficient of variation (CV)0.004965178
Kurtosis0.28143259
Mean19952816
Median Absolute Deviation (MAD)70419.5
Skewness-0.080180969
Sum9.0785313 × 1010
Variance9.8147228 × 109
MonotonicityNot monotonic
2023-12-11T04:55:35.676734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950101 207
 
4.5%
19810101 130
 
2.9%
20030501 89
 
2.0%
20030102 82
 
1.8%
19990302 82
 
1.8%
20030820 81
 
1.8%
19960422 72
 
1.6%
19900101 68
 
1.5%
20050701 66
 
1.5%
19990301 61
 
1.3%
Other values (916) 3612
79.4%
ValueCountFrequency (%)
19300101 1
 
< 0.1%
19530102 3
0.1%
19570103 1
 
< 0.1%
19590103 1
 
< 0.1%
19650102 1
 
< 0.1%
19650430 1
 
< 0.1%
19651002 1
 
< 0.1%
19660301 1
 
< 0.1%
19670101 1
 
< 0.1%
19700101 2
< 0.1%
ValueCountFrequency (%)
20211213 1
 
< 0.1%
20211005 1
 
< 0.1%
20210712 1
 
< 0.1%
20210504 3
0.1%
20210224 5
0.1%
20200515 1
 
< 0.1%
20200212 1
 
< 0.1%
20200109 1
 
< 0.1%
20200108 1
 
< 0.1%
20190909 1
 
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct353
Distinct (%)9.3%
Missing774
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean20111724
Minimum19970913
Maximum20210706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:35.867299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970913
5-th percentile20060630
Q120100611
median20101231
Q320130510
95-th percentile20170104
Maximum20210706
Range239793
Interquartile range (IQR)29899

Descriptive statistics

Standard deviation32634.637
Coefficient of variation (CV)0.0016226673
Kurtosis-0.43569411
Mean20111724
Median Absolute Deviation (MAD)18985
Skewness0.20183602
Sum7.594187 × 1010
Variance1.0650195 × 109
MonotonicityNot monotonic
2023-12-11T04:55:36.037407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101207 297
 
6.5%
20060630 158
 
3.5%
20101202 149
 
3.3%
20110104 112
 
2.5%
20101231 99
 
2.2%
20110824 82
 
1.8%
20081223 77
 
1.7%
20081219 69
 
1.5%
20110923 68
 
1.5%
20061227 54
 
1.2%
Other values (343) 2611
57.4%
(Missing) 774
 
17.0%
ValueCountFrequency (%)
19970913 1
 
< 0.1%
20030115 1
 
< 0.1%
20030329 1
 
< 0.1%
20030407 1
 
< 0.1%
20030422 2
 
< 0.1%
20030507 2
 
< 0.1%
20030531 1
 
< 0.1%
20030820 2
 
< 0.1%
20031029 14
0.3%
20031119 2
 
< 0.1%
ValueCountFrequency (%)
20210706 1
 
< 0.1%
20200109 1
 
< 0.1%
20190703 1
 
< 0.1%
20190630 1
 
< 0.1%
20190418 2
 
< 0.1%
20180502 12
0.3%
20180329 1
 
< 0.1%
20180221 2
 
< 0.1%
20171201 1
 
< 0.1%
20171115 5
0.1%

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
4
3776 
1
774 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 3776
83.0%
1 774
 
17.0%

Length

2023-12-11T04:55:36.185518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:36.291116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 3776
83.0%
1 774
 
17.0%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
취소/말소/만료/정지/중지
3776 
영업/정상
774 

Length

Max length14
Median length14
Mean length12.469011
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 3776
83.0%
영업/정상 774
 
17.0%

Length

2023-12-11T04:55:36.406454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:36.545230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 3776
83.0%
영업/정상 774
 
17.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
19
3776 
18
774 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row19
3rd row19
4th row19
5th row19

Common Values

ValueCountFrequency (%)
19 3776
83.0%
18 774
 
17.0%

Length

2023-12-11T04:55:36.679205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:36.779510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 3776
83.0%
18 774
 
17.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
사용중지
3776 
사용중
774 

Length

Max length4
Median length4
Mean length3.8298901
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 3776
83.0%
사용중 774
 
17.0%

Length

2023-12-11T04:55:36.918490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:37.044615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 3776
83.0%
사용중 774
 
17.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct353
Distinct (%)9.3%
Missing774
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean20111724
Minimum19970913
Maximum20210706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:37.193173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970913
5-th percentile20060630
Q120100611
median20101231
Q320130510
95-th percentile20170104
Maximum20210706
Range239793
Interquartile range (IQR)29899

Descriptive statistics

Standard deviation32634.637
Coefficient of variation (CV)0.0016226673
Kurtosis-0.43569411
Mean20111724
Median Absolute Deviation (MAD)18985
Skewness0.20183602
Sum7.594187 × 1010
Variance1.0650195 × 109
MonotonicityNot monotonic
2023-12-11T04:55:37.398827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101207 297
 
6.5%
20060630 158
 
3.5%
20101202 149
 
3.3%
20110104 112
 
2.5%
20101231 99
 
2.2%
20110824 82
 
1.8%
20081223 77
 
1.7%
20081219 69
 
1.5%
20110923 68
 
1.5%
20061227 54
 
1.2%
Other values (343) 2611
57.4%
(Missing) 774
 
17.0%
ValueCountFrequency (%)
19970913 1
 
< 0.1%
20030115 1
 
< 0.1%
20030329 1
 
< 0.1%
20030407 1
 
< 0.1%
20030422 2
 
< 0.1%
20030507 2
 
< 0.1%
20030531 1
 
< 0.1%
20030820 2
 
< 0.1%
20031029 14
0.3%
20031119 2
 
< 0.1%
ValueCountFrequency (%)
20210706 1
 
< 0.1%
20200109 1
 
< 0.1%
20190703 1
 
< 0.1%
20190630 1
 
< 0.1%
20190418 2
 
< 0.1%
20180502 12
0.3%
20180329 1
 
< 0.1%
20180221 2
 
< 0.1%
20171201 1
 
< 0.1%
20171115 5
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

소재지면적
Real number (ℝ)

Distinct1618
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1359.8572
Minimum0
Maximum87148
Zeros36
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:37.556881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66.12
Q1105.6
median181.82
Q3595.03
95-th percentile6621.35
Maximum87148
Range87148
Interquartile range (IQR)489.43

Descriptive statistics

Standard deviation4628.3747
Coefficient of variation (CV)3.4035741
Kurtosis121.3859
Mean1359.8572
Median Absolute Deviation (MAD)99.17
Skewness9.4760082
Sum6187350.3
Variance21421853
MonotonicityNot monotonic
2023-12-11T04:55:37.987138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.17 158
 
3.5%
66.12 130
 
2.9%
132.23 117
 
2.6%
99.0 93
 
2.0%
82.65 88
 
1.9%
132.0 79
 
1.7%
165.29 79
 
1.7%
115.7 72
 
1.6%
198.35 59
 
1.3%
165.0 55
 
1.2%
Other values (1608) 3620
79.6%
ValueCountFrequency (%)
0.0 36
0.8%
1.84 2
 
< 0.1%
3.67 1
 
< 0.1%
19.64 1
 
< 0.1%
20.0 3
 
0.1%
21.0 1
 
< 0.1%
24.0 2
 
< 0.1%
29.0 1
 
< 0.1%
29.3 1
 
< 0.1%
29.75 1
 
< 0.1%
ValueCountFrequency (%)
87148.0 1
< 0.1%
83703.0 1
< 0.1%
73827.0 2
< 0.1%
67520.0 1
< 0.1%
62453.0 1
< 0.1%
55907.0 1
< 0.1%
54647.0 1
< 0.1%
51268.0 1
< 0.1%
49600.0 1
< 0.1%
46782.0 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

소재지전체주소
Text

Distinct4280
Distinct (%)94.3%
Missing11
Missing (%)0.2%
Memory size35.7 KiB
2023-12-11T04:55:38.457089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.092972
Min length5

Characters and Unicode

Total characters104819
Distinct characters296
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4132 ?
Unique (%)91.0%

Sample

1st row대구광역시 중구 수동 22
2nd row대구광역시 중구 남산동 2267-9
3rd row대구광역시 중구 남산동 2466번지 1호
4th row대구광역시 중구 남산동 2466번지 92호
5th row대구광역시 중구 대봉1동 55번지 172호
ValueCountFrequency (%)
대구광역시 4423
 
19.4%
호 1531
 
6.7%
서구 1086
 
4.8%
동구 696
 
3.0%
달서구 669
 
2.9%
수성구 566
 
2.5%
북구 516
 
2.3%
남구 413
 
1.8%
중구 380
 
1.7%
1호 358
 
1.6%
Other values (2750) 12217
53.5%
2023-12-11T04:55:39.317308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24619
23.5%
구 8984
 
8.6%
동 5328
 
5.1%
대 5049
 
4.8%
1 4664
 
4.4%
시 4533
 
4.3%
역 4531
 
4.3%
광 4521
 
4.3%
지 3954
 
3.8%
번 3830
 
3.7%
Other values (286) 34806
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59166
56.4%
Space Separator 24619
23.5%
Decimal Number 20330
 
19.4%
Dash Punctuation 490
 
0.5%
Open Punctuation 91
 
0.1%
Close Punctuation 90
 
0.1%
Uppercase Letter 22
 
< 0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
13.6%
L 3
13.6%
B 3
13.6%
A 2
9.1%
M 2
9.1%
S 2
9.1%
F 1
 
4.5%
G 1
 
4.5%
J 1
 
4.5%
C 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 4664
22.9%
2 2780
13.7%
3 2248
11.1%
0 1929
9.5%
4 1696
 
8.3%
5 1643
 
8.1%
6 1446
 
7.1%
7 1343
 
6.6%
8 1293
 
6.4%
9 1288
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
· 3
27.3%
, 1
 
9.1%
: 1
 
9.1%
Space Separator
ValueCountFrequency (%)
24619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59166
56.4%
Common 45631
43.5%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
Common
ValueCountFrequency (%)
24619
54.0%
1 4664
 
10.2%
2 2780
 
6.1%
3 2248
 
4.9%
0 1929
 
4.2%
4 1696
 
3.7%
5 1643
 
3.6%
6 1446
 
3.2%
7 1343
 
2.9%
8 1293
 
2.8%
Other values (8) 1970
 
4.3%
Latin
ValueCountFrequency (%)
P 3
13.6%
L 3
13.6%
B 3
13.6%
A 2
9.1%
M 2
9.1%
S 2
9.1%
F 1
 
4.5%
G 1
 
4.5%
J 1
 
4.5%
C 1
 
4.5%
Other values (3) 3
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59166
56.4%
ASCII 45650
43.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24619
53.9%
1 4664
 
10.2%
2 2780
 
6.1%
3 2248
 
4.9%
0 1929
 
4.2%
4 1696
 
3.7%
5 1643
 
3.6%
6 1446
 
3.2%
7 1343
 
2.9%
8 1293
 
2.8%
Other values (20) 1989
 
4.4%
Hangul
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
None
ValueCountFrequency (%)
· 3
100.0%

도로명전체주소
Text

MISSING 

Distinct1708
Distinct (%)93.4%
Missing2722
Missing (%)59.8%
Memory size35.7 KiB
2023-12-11T04:55:39.775305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length28.318381
Min length18

Characters and Unicode

Total characters51766
Distinct characters388
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1653 ?
Unique (%)90.4%

Sample

1st row대구광역시 중구 남산로13길 17 (남산동, 보성황실아파트)
2nd row대구광역시 중구 남산로13길 9 (남산동, 남산병원)
3rd row대구광역시 중구 남산로7길 75 (남산동)
4th row대구광역시 중구 동덕로 33 (대봉동, 청운맨션아파트)
5th row대구광역시 중구 달구벌대로 2108 (남산동, 하나은행)
ValueCountFrequency (%)
대구광역시 1831
 
18.1%
서구 433
 
4.3%
달서구 290
 
2.9%
북구 289
 
2.9%
남구 241
 
2.4%
동구 184
 
1.8%
대명동 163
 
1.6%
중구 150
 
1.5%
수성구 142
 
1.4%
평리동 138
 
1.4%
Other values (2244) 6252
61.8%
2023-12-11T04:55:40.432137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8547
 
16.5%
구 3956
 
7.6%
대 2683
 
5.2%
동 2212
 
4.3%
역 1919
 
3.7%
시 1887
 
3.6%
광 1859
 
3.6%
( 1812
 
3.5%
) 1812
 
3.5%
로 1809
 
3.5%
Other values (378) 23270
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32353
62.5%
Space Separator 8547
 
16.5%
Decimal Number 6158
 
11.9%
Open Punctuation 1812
 
3.5%
Close Punctuation 1812
 
3.5%
Other Punctuation 872
 
1.7%
Dash Punctuation 174
 
0.3%
Uppercase Letter 28
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3956
 
12.2%
대 2683
 
8.3%
동 2212
 
6.8%
역 1919
 
5.9%
시 1887
 
5.8%
광 1859
 
5.7%
로 1809
 
5.6%
서 1038
 
3.2%
성 634
 
2.0%
길 630
 
1.9%
Other values (350) 13726
42.4%
Decimal Number
ValueCountFrequency (%)
1 1253
20.3%
2 929
15.1%
3 774
12.6%
5 568
9.2%
0 545
8.9%
4 504
8.2%
7 474
 
7.7%
6 442
 
7.2%
8 336
 
5.5%
9 333
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 7
25.0%
T 5
17.9%
S 4
14.3%
L 3
10.7%
H 3
10.7%
C 2
 
7.1%
A 1
 
3.6%
B 1
 
3.6%
E 1
 
3.6%
M 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 868
99.5%
. 3
 
0.3%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8547
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1812
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32353
62.5%
Common 19375
37.4%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3956
 
12.2%
대 2683
 
8.3%
동 2212
 
6.8%
역 1919
 
5.9%
시 1887
 
5.8%
광 1859
 
5.7%
로 1809
 
5.6%
서 1038
 
3.2%
성 634
 
2.0%
길 630
 
1.9%
Other values (350) 13726
42.4%
Common
ValueCountFrequency (%)
8547
44.1%
( 1812
 
9.4%
) 1812
 
9.4%
1 1253
 
6.5%
2 929
 
4.8%
, 868
 
4.5%
3 774
 
4.0%
5 568
 
2.9%
0 545
 
2.8%
4 504
 
2.6%
Other values (7) 1763
 
9.1%
Latin
ValueCountFrequency (%)
e 10
26.3%
K 7
18.4%
T 5
13.2%
S 4
 
10.5%
L 3
 
7.9%
H 3
 
7.9%
C 2
 
5.3%
A 1
 
2.6%
B 1
 
2.6%
E 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32353
62.5%
ASCII 19412
37.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8547
44.0%
( 1812
 
9.3%
) 1812
 
9.3%
1 1253
 
6.5%
2 929
 
4.8%
, 868
 
4.5%
3 774
 
4.0%
5 568
 
2.9%
0 545
 
2.8%
4 504
 
2.6%
Other values (17) 1800
 
9.3%
Hangul
ValueCountFrequency (%)
구 3956
 
12.2%
대 2683
 
8.3%
동 2212
 
6.8%
역 1919
 
5.9%
시 1887
 
5.8%
광 1859
 
5.7%
로 1809
 
5.6%
서 1038
 
3.2%
성 634
 
2.0%
길 630
 
1.9%
Other values (350) 13726
42.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct616
Distinct (%)61.9%
Missing3555
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean70732.913
Minimum41002
Maximum705833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:40.667041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41154.7
Q141590
median42195
Q342687.5
95-th percentile43015.3
Maximum705833
Range664831
Interquartile range (IQR)1097.5

Descriptive statistics

Standard deviation134691.41
Coefficient of variation (CV)1.9042254
Kurtosis18.282161
Mean70732.913
Median Absolute Deviation (MAD)506
Skewness4.4994322
Sum70379248
Variance1.8141776 × 1010
MonotonicityNot monotonic
2023-12-11T04:55:40.889311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41849 16
 
0.4%
42509 12
 
0.3%
41954 9
 
0.2%
41532 9
 
0.2%
41590 8
 
0.2%
41566 8
 
0.2%
705030 8
 
0.2%
42400 8
 
0.2%
42415 8
 
0.2%
42995 7
 
0.2%
Other values (606) 902
 
19.8%
(Missing) 3555
78.1%
ValueCountFrequency (%)
41002 2
< 0.1%
41003 1
 
< 0.1%
41005 4
0.1%
41006 1
 
< 0.1%
41007 2
< 0.1%
41020 1
 
< 0.1%
41022 1
 
< 0.1%
41023 1
 
< 0.1%
41031 1
 
< 0.1%
41035 1
 
< 0.1%
ValueCountFrequency (%)
705833 4
0.1%
705804 1
 
< 0.1%
705039 1
 
< 0.1%
705036 2
 
< 0.1%
705035 3
 
0.1%
705033 1
 
< 0.1%
705030 8
0.2%
704944 1
 
< 0.1%
704911 1
 
< 0.1%
704900 1
 
< 0.1%

사업장명
Text

Distinct4212
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
2023-12-11T04:55:41.415657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.6013187
Min length2

Characters and Unicode

Total characters30036
Distinct characters696
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4010 ?
Unique (%)88.1%

Sample

1st row태남빌딩
2nd row대성빌딩
3rd row보성황실 108동
4th row남산병원
5th row송정아파트
ValueCountFrequency (%)
지하 96
 
1.8%
지하주차장 93
 
1.7%
기타건물지하층 88
 
1.6%
아파트 86
 
1.6%
민방위대피시설 35
 
0.6%
전동 24
 
0.4%
연립.아파트지하층 21
 
0.4%
주차장 17
 
0.3%
테크노폴리스 17
 
0.3%
창고 16
 
0.3%
Other values (4281) 4963
91.0%
2023-12-11T04:55:42.232304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
907
 
3.0%
지 795
 
2.6%
동 704
 
2.3%
대 690
 
2.3%
아 663
 
2.2%
방 658
 
2.2%
트 570
 
1.9%
파 551
 
1.8%
하 551
 
1.8%
성 529
 
1.8%
Other values (686) 23418
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27307
90.9%
Space Separator 907
 
3.0%
Decimal Number 826
 
2.8%
Open Punctuation 306
 
1.0%
Close Punctuation 306
 
1.0%
Uppercase Letter 252
 
0.8%
Other Punctuation 74
 
0.2%
Lowercase Letter 44
 
0.1%
Dash Punctuation 11
 
< 0.1%
Letter Number 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
Uppercase Letter
ValueCountFrequency (%)
T 35
13.9%
K 31
12.3%
A 23
9.1%
C 22
8.7%
L 21
8.3%
S 20
 
7.9%
P 16
 
6.3%
H 14
 
5.6%
B 10
 
4.0%
O 9
 
3.6%
Other values (11) 51
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
29.5%
c 5
 
11.4%
t 3
 
6.8%
l 3
 
6.8%
o 2
 
4.5%
k 2
 
4.5%
p 2
 
4.5%
b 2
 
4.5%
r 2
 
4.5%
i 1
 
2.3%
Other values (9) 9
20.5%
Decimal Number
ValueCountFrequency (%)
1 261
31.6%
2 178
21.5%
0 133
16.1%
3 91
 
11.0%
5 41
 
5.0%
4 35
 
4.2%
6 28
 
3.4%
8 24
 
2.9%
7 23
 
2.8%
9 12
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 37
50.0%
, 25
33.8%
& 4
 
5.4%
@ 4
 
5.4%
· 3
 
4.1%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
907
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27307
90.9%
Common 2432
 
8.1%
Latin 297
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
Latin
ValueCountFrequency (%)
T 35
 
11.8%
K 31
 
10.4%
A 23
 
7.7%
C 22
 
7.4%
L 21
 
7.1%
S 20
 
6.7%
P 16
 
5.4%
H 14
 
4.7%
e 13
 
4.4%
B 10
 
3.4%
Other values (31) 92
31.0%
Common
ValueCountFrequency (%)
907
37.3%
( 306
 
12.6%
) 306
 
12.6%
1 261
 
10.7%
2 178
 
7.3%
0 133
 
5.5%
3 91
 
3.7%
5 41
 
1.7%
. 37
 
1.5%
4 35
 
1.4%
Other values (12) 137
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27307
90.9%
ASCII 2725
 
9.1%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
907
33.3%
( 306
 
11.2%
) 306
 
11.2%
1 261
 
9.6%
2 178
 
6.5%
0 133
 
4.9%
3 91
 
3.3%
5 41
 
1.5%
. 37
 
1.4%
4 35
 
1.3%
Other values (51) 430
15.8%
Hangul
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1876
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148473 × 1013
Minimum2.0031031 × 1013
Maximum2.0220128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:42.412512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0031031 × 1013
5-th percentile2.0111216 × 1013
Q12.0131213 × 1013
median2.0131213 × 1013
Q32.0161116 × 1013
95-th percentile2.0211105 × 1013
Maximum2.0220128 × 1013
Range1.8909715 × 1011
Interquartile range (IQR)2.9902911 × 1010

Descriptive statistics

Standard deviation3.1825082 × 1010
Coefficient of variation (CV)0.0015795282
Kurtosis0.1272079
Mean2.0148473 × 1013
Median Absolute Deviation (MAD)229
Skewness0.92447833
Sum9.1675552 × 1016
Variance1.0128358 × 1021
MonotonicityNot monotonic
2023-12-11T04:55:42.660851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131213195024 772
17.0%
20131213195253 590
 
13.0%
20131213194920 395
 
8.7%
20131213194903 390
 
8.6%
20131213194832 271
 
6.0%
20131213194852 254
 
5.6%
20060807000000 7
 
0.2%
20060629000000 3
 
0.1%
20220128151358 1
 
< 0.1%
20211104111542 1
 
< 0.1%
Other values (1866) 1866
41.0%
ValueCountFrequency (%)
20031031000000 1
 
< 0.1%
20050207000000 1
 
< 0.1%
20050211000000 1
 
< 0.1%
20050726000000 1
 
< 0.1%
20051101000000 1
 
< 0.1%
20060216000000 1
 
< 0.1%
20060629000000 3
0.1%
20060807000000 7
0.2%
20060830000000 1
 
< 0.1%
20070503000000 1
 
< 0.1%
ValueCountFrequency (%)
20220128151526 1
< 0.1%
20220128151358 1
< 0.1%
20220128095653 1
< 0.1%
20220127114215 1
< 0.1%
20220127114147 1
< 0.1%
20220127114129 1
< 0.1%
20220127114108 1
< 0.1%
20220127114046 1
< 0.1%
20220127114010 1
< 0.1%
20220127113913 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
I
3780 
U
770 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3780
83.1%
U 770
 
16.9%

Length

2023-12-11T04:55:42.878836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:43.028702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3780
83.1%
u 770
 
16.9%

데이터갱신일자
Date

Distinct85
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-30 02:40:00
2023-12-11T04:55:43.219913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:55:43.433667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4550
Missing (%)100.0%
Memory size40.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct907
Distinct (%)88.0%
Missing3519
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean342274.01
Minimum327853.17
Maximum358199.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:43.637959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327853.17
5-th percentile332565.5
Q1339215.96
median342336.41
Q3345368.51
95-th percentile352058.42
Maximum358199.77
Range30346.598
Interquartile range (IQR)6152.5589

Descriptive statistics

Standard deviation5255.8146
Coefficient of variation (CV)0.015355576
Kurtosis0.31191657
Mean342274.01
Median Absolute Deviation (MAD)3092.7562
Skewness0.12834715
Sum3.528845 × 108
Variance27623587
MonotonicityNot monotonic
2023-12-11T04:55:43.835403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339846.030385 16
 
0.4%
343954.889867 8
 
0.2%
343157.682044 8
 
0.2%
344781.041867 7
 
0.2%
344065.750359 7
 
0.2%
345299.742438 6
 
0.1%
342632.844135 6
 
0.1%
340145.80676 6
 
0.1%
343211.312 5
 
0.1%
344267.484864 5
 
0.1%
Other values (897) 957
 
21.0%
(Missing) 3519
77.3%
ValueCountFrequency (%)
327853.173809 1
< 0.1%
328357.519907 1
< 0.1%
328394.250484 1
< 0.1%
328437.0 1
< 0.1%
328728.0 1
< 0.1%
329329.409219 1
< 0.1%
329579.0 1
< 0.1%
329942.0 1
< 0.1%
330361.905034 1
< 0.1%
330477.427291 1
< 0.1%
ValueCountFrequency (%)
358199.771938 1
< 0.1%
358174.718491 1
< 0.1%
356682.540837 1
< 0.1%
356310.917659 1
< 0.1%
356175.41816 1
< 0.1%
356129.784535 1
< 0.1%
355967.3803 1
< 0.1%
355918.510956 1
< 0.1%
355852.938233 1
< 0.1%
355796.64243 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct907
Distinct (%)88.0%
Missing3519
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean262877.71
Minimum240358.72
Maximum278141.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:44.054806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile257220.67
Q1260865.05
median263166.29
Q3265150.66
95-th percentile270836.58
Maximum278141.39
Range37782.665
Interquartile range (IQR)4285.6119

Descriptive statistics

Standard deviation4586.9198
Coefficient of variation (CV)0.017448873
Kurtosis4.8972342
Mean262877.71
Median Absolute Deviation (MAD)2171.5533
Skewness-1.1116302
Sum2.7102692 × 108
Variance21039833
MonotonicityNot monotonic
2023-12-11T04:55:44.293039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263397.323074 16
 
0.4%
267834.090945 8
 
0.2%
261957.795169 8
 
0.2%
263166.287036 7
 
0.2%
260493.718002 7
 
0.2%
266806.443246 6
 
0.1%
262643.902173 6
 
0.1%
262999.175444 6
 
0.1%
260512.74484 5
 
0.1%
260473.55007 5
 
0.1%
Other values (897) 957
 
21.0%
(Missing) 3519
77.3%
ValueCountFrequency (%)
240358.722944 1
< 0.1%
240385.0 1
< 0.1%
240602.0 1
< 0.1%
244340.0 1
< 0.1%
244348.0 1
< 0.1%
244385.0 1
< 0.1%
244495.0 1
< 0.1%
244504.0 1
< 0.1%
244541.0 1
< 0.1%
244543.0 1
< 0.1%
ValueCountFrequency (%)
278141.388025 1
< 0.1%
278091.653532 1
< 0.1%
277698.431651 1
< 0.1%
273712.082489 1
< 0.1%
273441.249973 2
< 0.1%
273164.803904 1
< 0.1%
273097.828373 1
< 0.1%
273039.882395 1
< 0.1%
272787.747747 1
< 0.1%
272735.67566 1
< 0.1%

비상시설위치
Text

Distinct4280
Distinct (%)94.3%
Missing11
Missing (%)0.2%
Memory size35.7 KiB
2023-12-11T04:55:45.085635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length23.093413
Min length5

Characters and Unicode

Total characters104821
Distinct characters298
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4132 ?
Unique (%)91.0%

Sample

1st row대구광역시 중구 수동 22
2nd row대구광역시 중구 남산동 2267-9
3rd row대구광역시 중구 남산동 2466번지 1호
4th row대구광역시 중구 남산동 2466번지 92호
5th row대구광역시 중구 대봉1동 55번지 172호
ValueCountFrequency (%)
대구광역시 4423
 
19.4%
호 1531
 
6.7%
서구 1086
 
4.8%
동구 696
 
3.0%
달서구 669
 
2.9%
수성구 566
 
2.5%
북구 516
 
2.3%
남구 413
 
1.8%
중구 380
 
1.7%
1호 358
 
1.6%
Other values (2750) 12217
53.5%
2023-12-11T04:55:46.134287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24619
23.5%
구 8984
 
8.6%
동 5328
 
5.1%
대 5049
 
4.8%
1 4664
 
4.4%
시 4533
 
4.3%
역 4531
 
4.3%
광 4521
 
4.3%
지 3954
 
3.8%
번 3830
 
3.7%
Other values (288) 34808
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59166
56.4%
Space Separator 24619
23.5%
Decimal Number 20330
 
19.4%
Dash Punctuation 490
 
0.5%
Open Punctuation 91
 
0.1%
Close Punctuation 90
 
0.1%
Uppercase Letter 22
 
< 0.1%
Other Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
Uppercase Letter
ValueCountFrequency (%)
L 3
13.6%
B 3
13.6%
P 3
13.6%
A 2
9.1%
M 2
9.1%
S 2
9.1%
J 1
 
4.5%
C 1
 
4.5%
K 1
 
4.5%
T 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 4664
22.9%
2 2780
13.7%
3 2248
11.1%
0 1929
9.5%
4 1696
 
8.3%
5 1643
 
8.1%
6 1446
 
7.1%
7 1343
 
6.6%
8 1293
 
6.4%
9 1288
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 6
46.2%
· 3
23.1%
, 1
 
7.7%
: 1
 
7.7%
? 1
 
7.7%
？ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
24619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59166
56.4%
Common 45633
43.5%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
Common
ValueCountFrequency (%)
24619
53.9%
1 4664
 
10.2%
2 2780
 
6.1%
3 2248
 
4.9%
0 1929
 
4.2%
4 1696
 
3.7%
5 1643
 
3.6%
6 1446
 
3.2%
7 1343
 
2.9%
8 1293
 
2.8%
Other values (10) 1972
 
4.3%
Latin
ValueCountFrequency (%)
L 3
13.6%
B 3
13.6%
P 3
13.6%
A 2
9.1%
M 2
9.1%
S 2
9.1%
J 1
 
4.5%
C 1
 
4.5%
K 1
 
4.5%
T 1
 
4.5%
Other values (3) 3
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59166
56.4%
ASCII 45651
43.6%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24619
53.9%
1 4664
 
10.2%
2 2780
 
6.1%
3 2248
 
4.9%
0 1929
 
4.2%
4 1696
 
3.7%
5 1643
 
3.6%
6 1446
 
3.2%
7 1343
 
2.9%
8 1293
 
2.8%
Other values (21) 1990
 
4.4%
Hangul
ValueCountFrequency (%)
구 8984
15.2%
동 5328
 
9.0%
대 5049
 
8.5%
시 4533
 
7.7%
역 4531
 
7.7%
광 4521
 
7.6%
지 3954
 
6.7%
번 3830
 
6.5%
호 3131
 
5.3%
서 1830
 
3.1%
Other values (255) 13475
22.8%
None
ValueCountFrequency (%)
· 3
75.0%
？ 1
 
25.0%

시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
공공시설
4215 
민간시설
 
321
자치단체자체시설
 
10
정부지원시설
 
4

Length

Max length8
Median length4
Mean length4.0105495
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 4215
92.6%
민간시설 321
 
7.1%
자치단체자체시설 10
 
0.2%
정부지원시설 4
 
0.1%

Length

2023-12-11T04:55:46.354579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:55:46.537617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 4215
92.6%
민간시설 321
 
7.1%
자치단체자체시설 10
 
0.2%
정부지원시설 4
 
0.1%

시설명_건물명
Text

Distinct4212
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size35.7 KiB
2023-12-11T04:55:46.995011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.6013187
Min length2

Characters and Unicode

Total characters30036
Distinct characters696
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4010 ?
Unique (%)88.1%

Sample

1st row태남빌딩
2nd row대성빌딩
3rd row보성황실 108동
4th row남산병원
5th row송정아파트
ValueCountFrequency (%)
지하 96
 
1.8%
지하주차장 93
 
1.7%
기타건물지하층 88
 
1.6%
아파트 86
 
1.6%
민방위대피시설 35
 
0.6%
전동 24
 
0.4%
연립.아파트지하층 21
 
0.4%
주차장 17
 
0.3%
테크노폴리스 17
 
0.3%
창고 16
 
0.3%
Other values (4281) 4963
91.0%
2023-12-11T04:55:47.739790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
907
 
3.0%
지 795
 
2.6%
동 704
 
2.3%
대 690
 
2.3%
아 663
 
2.2%
방 658
 
2.2%
트 570
 
1.9%
파 551
 
1.8%
하 551
 
1.8%
성 529
 
1.8%
Other values (686) 23418
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27307
90.9%
Space Separator 907
 
3.0%
Decimal Number 826
 
2.8%
Open Punctuation 306
 
1.0%
Close Punctuation 306
 
1.0%
Uppercase Letter 252
 
0.8%
Other Punctuation 74
 
0.2%
Lowercase Letter 44
 
0.1%
Dash Punctuation 11
 
< 0.1%
Letter Number 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
Uppercase Letter
ValueCountFrequency (%)
T 35
13.9%
K 31
12.3%
A 23
9.1%
C 22
8.7%
L 21
8.3%
S 20
 
7.9%
P 16
 
6.3%
H 14
 
5.6%
B 10
 
4.0%
O 9
 
3.6%
Other values (11) 51
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
29.5%
c 5
 
11.4%
t 3
 
6.8%
l 3
 
6.8%
o 2
 
4.5%
k 2
 
4.5%
p 2
 
4.5%
b 2
 
4.5%
r 2
 
4.5%
i 1
 
2.3%
Other values (9) 9
20.5%
Decimal Number
ValueCountFrequency (%)
1 261
31.6%
2 178
21.5%
0 133
16.1%
3 91
 
11.0%
5 41
 
5.0%
4 35
 
4.2%
6 28
 
3.4%
8 24
 
2.9%
7 23
 
2.8%
9 12
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 37
50.0%
, 25
33.8%
& 4
 
5.4%
@ 4
 
5.4%
· 3
 
4.1%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
907
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27307
90.9%
Common 2432
 
8.1%
Latin 297
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
Latin
ValueCountFrequency (%)
T 35
 
11.8%
K 31
 
10.4%
A 23
 
7.7%
C 22
 
7.4%
L 21
 
7.1%
S 20
 
6.7%
P 16
 
5.4%
H 14
 
4.7%
e 13
 
4.4%
B 10
 
3.4%
Other values (31) 92
31.0%
Common
ValueCountFrequency (%)
907
37.3%
( 306
 
12.6%
) 306
 
12.6%
1 261
 
10.7%
2 178
 
7.3%
0 133
 
5.5%
3 91
 
3.7%
5 41
 
1.7%
. 37
 
1.5%
4 35
 
1.4%
Other values (12) 137
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27307
90.9%
ASCII 2725
 
9.1%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
907
33.3%
( 306
 
11.2%
) 306
 
11.2%
1 261
 
9.6%
2 178
 
6.5%
0 133
 
4.9%
3 91
 
3.3%
5 41
 
1.5%
. 37
 
1.4%
4 35
 
1.3%
Other values (51) 430
15.8%
Hangul
ValueCountFrequency (%)
지 795
 
2.9%
동 704
 
2.6%
대 690
 
2.5%
아 663
 
2.4%
방 658
 
2.4%
트 570
 
2.1%
파 551
 
2.0%
하 551
 
2.0%
성 529
 
1.9%
주 438
 
1.6%
Other values (623) 21158
77.5%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

해제일자
Real number (ℝ)

MISSING 

Distinct353
Distinct (%)9.3%
Missing774
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean20111724
Minimum19970913
Maximum20210706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.1 KiB
2023-12-11T04:55:47.969540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970913
5-th percentile20060630
Q120100611
median20101231
Q320130510
95-th percentile20170104
Maximum20210706
Range239793
Interquartile range (IQR)29899

Descriptive statistics

Standard deviation32634.637
Coefficient of variation (CV)0.0016226673
Kurtosis-0.43569411
Mean20111724
Median Absolute Deviation (MAD)18985
Skewness0.20183602
Sum7.594187 × 1010
Variance1.0650195 × 109
MonotonicityNot monotonic
2023-12-11T04:55:48.212370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101207 297
 
6.5%
20060630 158
 
3.5%
20101202 149
 
3.3%
20110104 112
 
2.5%
20101231 99
 
2.2%
20110824 82
 
1.8%
20081223 77
 
1.7%
20081219 69
 
1.5%
20110923 68
 
1.5%
20061227 54
 
1.2%
Other values (343) 2611
57.4%
(Missing) 774
 
17.0%
ValueCountFrequency (%)
19970913 1
 
< 0.1%
20030115 1
 
< 0.1%
20030329 1
 
< 0.1%
20030407 1
 
< 0.1%
20030422 2
 
< 0.1%
20030507 2
 
< 0.1%
20030531 1
 
< 0.1%
20030820 2
 
< 0.1%
20031029 14
0.3%
20031119 2
 
< 0.1%
ValueCountFrequency (%)
20210706 1
 
< 0.1%
20200109 1
 
< 0.1%
20190703 1
 
< 0.1%
20190630 1
 
< 0.1%
20190418 2
 
< 0.1%
20180502 12
0.3%
20180329 1
 
< 0.1%
20180221 2
 
< 0.1%
20171201 1
 
< 0.1%
20171115 5
0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
01민방위대피시설11_46_02_P34100003410000-S19800000619800101201010134취소/말소/만료/정지/중지19사용중지20101013<NA><NA><NA><NA>462.0<NA>대구광역시 중구 수동 22<NA><NA>태남빌딩20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 수동 22공공시설태남빌딩20101013
12민방위대피시설11_46_02_P34100003410000-S19970000119970808200812244취소/말소/만료/정지/중지19사용중지20081224<NA><NA><NA><NA>297.52<NA>대구광역시 중구 남산동 2267-9<NA><NA>대성빌딩20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산동 2267-9공공시설대성빌딩20081224
23민방위대피시설11_46_02_P34100003410000-S19930000419930329201805024취소/말소/만료/정지/중지19사용중지20180502<NA><NA><NA><NA>2772.0<NA>대구광역시 중구 남산동 2466번지 1호대구광역시 중구 남산로13길 17 (남산동, 보성황실아파트)41978보성황실 108동20180509115926I2018-08-31 23:59:59.0<NA>342754.486268263376.49575대구광역시 중구 남산동 2466번지 1호공공시설보성황실 108동20180502
34민방위대피시설11_46_02_P34100003410000-S19940000119941226201803294취소/말소/만료/정지/중지19사용중지20180329<NA><NA><NA><NA>2116.0<NA>대구광역시 중구 남산동 2466번지 92호대구광역시 중구 남산로13길 9 (남산동, 남산병원)41978남산병원20180330091927I2018-08-31 23:59:59.0<NA>342807.803776263521.781179대구광역시 중구 남산동 2466번지 92호공공시설남산병원20180329
45민방위대피시설11_46_02_P34100003410000-S19720000119800412201104144취소/말소/만료/정지/중지19사용중지20110414<NA><NA><NA><NA>132.0<NA>대구광역시 중구 대봉1동 55번지 172호<NA><NA>송정아파트20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 대봉1동 55번지 172호공공시설송정아파트20110414
56민방위대피시설11_46_02_P34100003410000-S20030002020030102201108184취소/말소/만료/정지/중지19사용중지20110818<NA><NA><NA><NA>99.0<NA>대구광역시 중구 남산1동 912번지 5호 (명륜로23길 93)<NA><NA>정임빌딩20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산1동 912번지 5호 (명륜로23길 93)공공시설정임빌딩20110818
67민방위대피시설11_46_02_P34100003410000-S19830000219830323200812244취소/말소/만료/정지/중지19사용중지20081224<NA><NA><NA><NA>132.23<NA>대구광역시 중구 남산동 2408-3<NA><NA>보훈회관20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산동 2408-3공공시설보훈회관20081224
78민방위대피시설11_46_02_P34100003410000-S19840000219840924200303294취소/말소/만료/정지/중지19사용중지20030329<NA><NA><NA><NA>165.29<NA>대구광역시 중구 남산동 2501-3<NA><NA>대원빌딩20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산동 2501-3공공시설대원빌딩20030329
89민방위대피시설11_46_02_P34100003410000-S19830000319830201200812244취소/말소/만료/정지/중지19사용중지20081224<NA><NA><NA><NA>165.29<NA>대구광역시 중구 남산동 2951-1<NA><NA>서부교회20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산동 2951-1공공시설서부교회20081224
910민방위대피시설11_46_02_P34100003410000-S19810000219810106200812244취소/말소/만료/정지/중지19사용중지20081224<NA><NA><NA><NA>115.0<NA>대구광역시 중구 남산동 2270-60<NA><NA>아람빌딩20131213194852I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 중구 남산동 2270-60공공시설아람빌딩20081224
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
45404541민방위대피시설11_46_02_P34800003480000-S19980000219980102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1711.0<NA>대구광역시 달성군 화원읍 1734번지 1호대구광역시 달성군 화원읍 비슬로539길 5 (청구청산맨션)42952청구청산아파트20211027150720U2021-10-29 02:40:00.0<NA>336359.513344257581.577798대구광역시 달성군 화원읍 1734번지 1호공공시설청구청산아파트<NA>
45414542민방위대피시설11_46_02_P34800003480000-S20010000120010102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2632.0<NA>대구광역시 달성군 화원읍 성산리 55번지대구광역시 달성군 화원읍 사문진로 349-0<NA>삼주타운20211027154807U2021-10-29 02:40:00.0<NA>334485.229602257516.968663대구광역시 달성군 화원읍 성산리 55번지공공시설삼주타운<NA>
45424543민방위대피시설11_46_02_P34800003480000-S19950000119950824<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4845.0<NA>대구광역시 달성군 다사읍 719번지 2호대구광역시 달성군 다사읍 달구벌대로 790 (강창1차삼산타운)42915삼산아파트20211105180245U2021-11-07 02:40:00.0<NA>331685.390023263366.296869대구광역시 달성군 다사읍 719번지 2호공공시설삼산아파트<NA>
45434544민방위대피시설11_46_02_P34800003480000-S19960000419970520<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1047.0<NA>대구광역시 달성군 다사읍 죽곡리 152번지대구광역시 달성군 다사읍 죽곡2길 6-0<NA>태성그린시티 아파트20211105180529U2021-11-07 02:40:00.0<NA>331969.032124262849.651904대구광역시 달성군 다사읍 죽곡리 152번지공공시설태성그린시티 아파트<NA>
45444545민방위대피시설11_46_02_P34800003480000-S19960000119960102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>908.0<NA>대구광역시 달성군 화원읍 536번지 2호대구광역시 달성군 화원읍 비슬로491길 13 (성화한빛아파트)42945한빛아파트20211027145755U2021-10-29 02:40:00.0<NA>334231.210513256369.220396대구광역시 달성군 화원읍 536번지 2호공공시설한빛아파트<NA>
45454546민방위대피시설11_46_02_P34800003480000-S20150000120150127<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3278.0<NA>대구광역시 달성군 화원읍 113번지 1호대구광역시 달성군 화원읍 명천로 57 (대곡역그린빌)42965대곡역 그린빌 아파트20211109161846U2021-11-11 02:40:00.0<NA>336549.97252257005.946257대구광역시 달성군 화원읍 113번지 1호공공시설대곡역 그린빌 아파트<NA>
45464547민방위대피시설11_46_02_P34800003480000-S20150000220150127<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4000.0<NA>대구광역시 달성군 화원읍 1650번지대구광역시 달성군 화원읍 비슬로539길 35 (대곡역래미안)42951대곡역 레미안 아파트20211109162204U2021-11-11 02:40:00.0<NA>336113.313538257842.91913대구광역시 달성군 화원읍 1650번지공공시설대곡역 레미안 아파트<NA>
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