Overview

Dataset statistics

Number of variables32
Number of observations776
Missing cells7043
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory208.5 KiB
Average record size in memory275.2 B

Variable types

Numeric8
Categorical8
Text6
Unsupported9
DateTime1

Dataset

Description6270000_대구광역시_11_46_02_P_민방위대피시설_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090844&dataSetDetailId=DDI_0000090854&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (71.3%)Imbalance
시설구분명 is highly imbalanced (96.3%)Imbalance
인허가취소일자 has 776 (100.0%) missing valuesMissing
폐업일자 has 776 (100.0%) missing valuesMissing
휴업시작일자 has 776 (100.0%) missing valuesMissing
휴업종료일자 has 776 (100.0%) missing valuesMissing
재개업일자 has 776 (100.0%) missing valuesMissing
소재지전화 has 776 (100.0%) missing valuesMissing
소재지우편번호 has 776 (100.0%) missing valuesMissing
도로명우편번호 has 38 (4.9%) missing valuesMissing
업태구분명 has 776 (100.0%) missing valuesMissing
좌표정보(X) has 10 (1.3%) missing valuesMissing
좌표정보(Y) has 10 (1.3%) missing valuesMissing
해제일자 has 776 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:28:24.524265
Analysis finished2023-12-10 19:28:26.350866
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.5
Minimum1
Maximum776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:26.475167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.75
Q1194.75
median388.5
Q3582.25
95-th percentile737.25
Maximum776
Range775
Interquartile range (IQR)387.5

Descriptive statistics

Standard deviation224.1562
Coefficient of variation (CV)0.57697862
Kurtosis-1.2
Mean388.5
Median Absolute Deviation (MAD)194
Skewness0
Sum301476
Variance50246
MonotonicityStrictly increasing
2023-12-11T04:28:26.713495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
535 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
Other values (766) 766
98.7%
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 (%)
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
민방위대피시설
776 

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 776
100.0%

Length

2023-12-11T04:28:26.945876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:27.092251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위대피시설 776
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
11_46_02_P
776 

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 776
100.0%

Length

2023-12-11T04:28:27.225389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:27.359620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_02_p 776
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451920.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:27.483771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21185.48
Coefficient of variation (CV)0.0061373032
Kurtosis-0.93924278
Mean3451920.1
Median Absolute Deviation (MAD)20000
Skewness-0.49388876
Sum2.67869 × 109
Variance4.4882458 × 108
MonotonicityIncreasing
2023-12-11T04:28:27.651694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 199
25.6%
3450000 144
18.6%
3420000 106
13.7%
3460000 93
12.0%
3480000 91
11.7%
3440000 69
 
8.9%
3410000 40
 
5.2%
3430000 34
 
4.4%
ValueCountFrequency (%)
3410000 40
 
5.2%
3420000 106
13.7%
3430000 34
 
4.4%
3440000 69
 
8.9%
3450000 144
18.6%
3460000 93
12.0%
3470000 199
25.6%
3480000 91
11.7%
ValueCountFrequency (%)
3480000 91
11.7%
3470000 199
25.6%
3460000 93
12.0%
3450000 144
18.6%
3440000 69
 
8.9%
3430000 34
 
4.4%
3420000 106
13.7%
3410000 40
 
5.2%

관리번호
Text

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T04:28:27.906372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters13968
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

Unique776 ?
Unique (%)100.0%

Sample

1st row3410000-S199200032
2nd row3410000-S198600003
3rd row3410000-S199100011
4th row3410000-S200400002
5th row3410000-S199700002
ValueCountFrequency (%)
3410000-s199200032 1
 
0.1%
3470000-s199000004 1
 
0.1%
3470000-s200600043 1
 
0.1%
3470000-s199400018 1
 
0.1%
3470000-s200600018 1
 
0.1%
3470000-s200300035 1
 
0.1%
3470000-s200300036 1
 
0.1%
3470000-s200600001 1
 
0.1%
3470000-s200300006 1
 
0.1%
3470000-s200300007 1
 
0.1%
Other values (766) 766
98.7%
2023-12-11T04:28:28.335865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6585
47.1%
3 1060
 
7.6%
4 1026
 
7.3%
1 1004
 
7.2%
2 852
 
6.1%
- 776
 
5.6%
S 776
 
5.6%
9 597
 
4.3%
7 415
 
3.0%
6 318
 
2.3%
Other values (2) 559
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12416
88.9%
Dash Punctuation 776
 
5.6%
Uppercase Letter 776
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6585
53.0%
3 1060
 
8.5%
4 1026
 
8.3%
1 1004
 
8.1%
2 852
 
6.9%
9 597
 
4.8%
7 415
 
3.3%
6 318
 
2.6%
5 316
 
2.5%
8 243
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 776
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 776
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13192
94.4%
Latin 776
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6585
49.9%
3 1060
 
8.0%
4 1026
 
7.8%
1 1004
 
7.6%
2 852
 
6.5%
- 776
 
5.9%
9 597
 
4.5%
7 415
 
3.1%
6 318
 
2.4%
5 316
 
2.4%
Latin
ValueCountFrequency (%)
S 776
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6585
47.1%
3 1060
 
7.6%
4 1026
 
7.3%
1 1004
 
7.2%
2 852
 
6.1%
- 776
 
5.6%
S 776
 
5.6%
9 597
 
4.3%
7 415
 
3.0%
6 318
 
2.3%
Other values (2) 559
 
4.0%

인허가일자
Real number (ℝ)

Distinct315
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20044168
Minimum19651002
Maximum20210712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:28.542507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19651002
5-th percentile19900902
Q119970101
median20050125
Q320110802
95-th percentile20170626
Maximum20210712
Range559710
Interquartile range (IQR)140701

Descriptive statistics

Standard deviation93019.717
Coefficient of variation (CV)0.0046407372
Kurtosis-0.53808537
Mean20044168
Median Absolute Deviation (MAD)70024
Skewness-0.29045504
Sum1.5554274 × 1010
Variance8.6526677 × 109
MonotonicityNot monotonic
2023-12-11T04:28:28.740888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061227 34
 
4.4%
20030820 22
 
2.8%
19950101 20
 
2.6%
20040701 18
 
2.3%
19970101 17
 
2.2%
20030826 16
 
2.1%
20110802 16
 
2.1%
20110201 14
 
1.8%
19931231 14
 
1.8%
20030331 13
 
1.7%
Other values (305) 592
76.3%
ValueCountFrequency (%)
19651002 1
 
0.1%
19800102 1
 
0.1%
19811231 1
 
0.1%
19820102 4
0.5%
19830101 1
 
0.1%
19830728 1
 
0.1%
19840103 1
 
0.1%
19840104 1
 
0.1%
19840220 1
 
0.1%
19840601 1
 
0.1%
ValueCountFrequency (%)
20210712 1
 
0.1%
20210504 3
0.4%
20210224 5
0.6%
20200714 1
 
0.1%
20200515 1
 
0.1%
20200212 1
 
0.1%
20200109 1
 
0.1%
20200108 1
 
0.1%
20190909 1
 
0.1%
20190625 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
1
776 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 776
100.0%

Length

2023-12-11T04:28:28.899901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:29.040342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 776
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
영업/정상
776 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 776
100.0%

Length

2023-12-11T04:28:29.185975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:29.356014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 776
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
18
776 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 776
100.0%

Length

2023-12-11T04:28:29.518468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:29.683379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 776
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
사용중
776 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 776
100.0%

Length

2023-12-11T04:28:29.812579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:29.929171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 776
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

소재지면적
Real number (ℝ)

Distinct707
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4833.598
Minimum42
Maximum87148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:30.091596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile304.25
Q11215.75
median2978
Q36219
95-th percentile11892.75
Maximum87148
Range87106
Interquartile range (IQR)5003.25

Descriptive statistics

Standard deviation7245.2552
Coefficient of variation (CV)1.4989362
Kurtosis43.532896
Mean4833.598
Median Absolute Deviation (MAD)2184
Skewness5.6281154
Sum3750872
Variance52493722
MonotonicityNot monotonic
2023-12-11T04:28:30.270214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
755.0 4
 
0.5%
4000.0 3
 
0.4%
373.0 3
 
0.4%
344.0 3
 
0.4%
1980.0 3
 
0.4%
742.0 3
 
0.4%
198.0 3
 
0.4%
2728.0 2
 
0.3%
826.0 2
 
0.3%
3135.0 2
 
0.3%
Other values (697) 748
96.4%
ValueCountFrequency (%)
42.0 1
0.1%
78.0 1
0.1%
80.0 1
0.1%
109.0 1
0.1%
116.0 1
0.1%
123.0 1
0.1%
131.0 1
0.1%
154.0 1
0.1%
165.0 1
0.1%
172.0 1
0.1%
ValueCountFrequency (%)
87148.0 1
0.1%
67520.0 1
0.1%
62453.0 1
0.1%
54647.0 1
0.1%
49600.0 1
0.1%
46782.0 1
0.1%
46404.0 1
0.1%
46193.0 1
0.1%
43382.0 1
0.1%
39687.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

소재지전체주소
Text

Distinct724
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T04:28:30.690243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length20.796392
Min length16

Characters and Unicode

Total characters16138
Distinct characters175
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique699 ?
Unique (%)90.1%

Sample

1st row대구광역시 중구 동인동2가 11번지
2nd row대구광역시 중구 대봉동 111번지 1호
3rd row대구광역시 중구 대신동 115번지 1호
4th row대구광역시 중구 덕산동 110번지
5th row대구광역시 중구 남일동 143번지 1호
ValueCountFrequency (%)
대구광역시 776
22.0%
달서구 199
 
5.6%
1호 144
 
4.1%
북구 144
 
4.1%
동구 106
 
3.0%
수성구 93
 
2.6%
달성군 91
 
2.6%
남구 69
 
2.0%
2호 48
 
1.4%
중구 40
 
1.1%
Other values (769) 1821
51.6%
2023-12-11T04:28:31.348191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2755
17.1%
구 1484
 
9.2%
대 847
 
5.2%
동 807
 
5.0%
지 806
 
5.0%
역 782
 
4.8%
시 779
 
4.8%
광 776
 
4.8%
번 764
 
4.7%
1 741
 
4.6%
Other values (165) 5597
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10343
64.1%
Decimal Number 3034
 
18.8%
Space Separator 2755
 
17.1%
Dash Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%
Decimal Number
ValueCountFrequency (%)
1 741
24.4%
2 390
12.9%
3 299
9.9%
5 278
 
9.2%
0 260
 
8.6%
4 236
 
7.8%
6 225
 
7.4%
7 216
 
7.1%
9 206
 
6.8%
8 183
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
2755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10343
64.1%
Common 5793
35.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%
Common
ValueCountFrequency (%)
2755
47.6%
1 741
 
12.8%
2 390
 
6.7%
3 299
 
5.2%
5 278
 
4.8%
0 260
 
4.5%
4 236
 
4.1%
6 225
 
3.9%
7 216
 
3.7%
9 206
 
3.6%
Other values (3) 187
 
3.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10343
64.1%
ASCII 5795
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2755
47.5%
1 741
 
12.8%
2 390
 
6.7%
3 299
 
5.2%
5 278
 
4.8%
0 260
 
4.5%
4 236
 
4.1%
6 225
 
3.9%
7 216
 
3.7%
9 206
 
3.6%
Other values (5) 189
 
3.3%
Hangul
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%

도로명전체주소
Text

Distinct727
Distinct (%)93.8%
Missing1
Missing (%)0.1%
Memory size6.2 KiB
2023-12-11T04:28:31.855729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length32.156129
Min length20

Characters and Unicode

Total characters24921
Distinct characters375
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

Unique704 ?
Unique (%)90.8%

Sample

1st row대구광역시 중구 국채보상로 645 (동인동2가, 드림상호저축은행)
2nd row대구광역시 중구 동덕로 33 (대봉동, 청운맨션아파트)
3rd row대구광역시 중구 국채보상로 지하 470 (대신동)
4th row대구광역시 중구 달구벌대로 2095 (덕산동, 삼성생명)
5th row대구광역시 중구 중앙대로 지하 424 (남일동, 중앙로역)
ValueCountFrequency (%)
대구광역시 776
 
16.6%
달서구 199
 
4.3%
북구 144
 
3.1%
동구 106
 
2.3%
수성구 93
 
2.0%
달성군 91
 
2.0%
남구 68
 
1.5%
지하 64
 
1.4%
달구벌대로 53
 
1.1%
중구 40
 
0.9%
Other values (1494) 3028
65.0%
2023-12-11T04:28:32.565114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3887
 
15.6%
구 1683
 
6.8%
대 1160
 
4.7%
동 944
 
3.8%
역 858
 
3.4%
시 823
 
3.3%
광 785
 
3.1%
로 775
 
3.1%
( 762
 
3.1%
) 762
 
3.1%
Other values (365) 12482
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16221
65.1%
Space Separator 3887
 
15.6%
Decimal Number 2562
 
10.3%
Open Punctuation 762
 
3.1%
Close Punctuation 762
 
3.1%
Other Punctuation 634
 
2.5%
Dash Punctuation 55
 
0.2%
Uppercase Letter 28
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1683
 
10.4%
대 1160
 
7.2%
동 944
 
5.8%
역 858
 
5.3%
시 823
 
5.1%
광 785
 
4.8%
로 775
 
4.8%
성 443
 
2.7%
서 390
 
2.4%
달 364
 
2.2%
Other values (338) 7996
49.3%
Decimal Number
ValueCountFrequency (%)
1 494
19.3%
2 411
16.0%
3 302
11.8%
0 267
10.4%
5 263
10.3%
4 190
 
7.4%
7 184
 
7.2%
6 182
 
7.1%
8 139
 
5.4%
9 130
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
K 7
25.0%
S 6
21.4%
T 5
17.9%
H 2
 
7.1%
L 2
 
7.1%
C 2
 
7.1%
E 1
 
3.6%
A 1
 
3.6%
B 1
 
3.6%
M 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 631
99.5%
. 3
 
0.5%
Space Separator
ValueCountFrequency (%)
3887
100.0%
Open Punctuation
ValueCountFrequency (%)
( 762
100.0%
Close Punctuation
ValueCountFrequency (%)
) 762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16221
65.1%
Common 8662
34.8%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1683
 
10.4%
대 1160
 
7.2%
동 944
 
5.8%
역 858
 
5.3%
시 823
 
5.1%
광 785
 
4.8%
로 775
 
4.8%
성 443
 
2.7%
서 390
 
2.4%
달 364
 
2.2%
Other values (338) 7996
49.3%
Common
ValueCountFrequency (%)
3887
44.9%
( 762
 
8.8%
) 762
 
8.8%
, 631
 
7.3%
1 494
 
5.7%
2 411
 
4.7%
3 302
 
3.5%
0 267
 
3.1%
5 263
 
3.0%
4 190
 
2.2%
Other values (6) 693
 
8.0%
Latin
ValueCountFrequency (%)
e 10
26.3%
K 7
18.4%
S 6
15.8%
T 5
13.2%
H 2
 
5.3%
L 2
 
5.3%
C 2
 
5.3%
E 1
 
2.6%
A 1
 
2.6%
B 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16221
65.1%
ASCII 8700
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3887
44.7%
( 762
 
8.8%
) 762
 
8.8%
, 631
 
7.3%
1 494
 
5.7%
2 411
 
4.7%
3 302
 
3.5%
0 267
 
3.1%
5 263
 
3.0%
4 190
 
2.2%
Other values (17) 731
 
8.4%
Hangul
ValueCountFrequency (%)
구 1683
 
10.4%
대 1160
 
7.2%
동 944
 
5.8%
역 858
 
5.3%
시 823
 
5.1%
광 785
 
4.8%
로 775
 
4.8%
성 443
 
2.7%
서 390
 
2.4%
달 364
 
2.2%
Other values (338) 7996
49.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct502
Distinct (%)68.0%
Missing38
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean46618.275
Minimum41002
Maximum703815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:32.797393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41143
Q141557
median42214.5
Q342721.75
95-th percentile42955.3
Maximum703815
Range662813
Interquartile range (IQR)1164.75

Descriptive statistics

Standard deviation54208.873
Coefficient of variation (CV)1.1628245
Kurtosis143.54991
Mean46618.275
Median Absolute Deviation (MAD)552
Skewness12.047475
Sum34404287
Variance2.9386019 × 109
MonotonicityNot monotonic
2023-12-11T04:28:33.002899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42509 12
 
1.5%
41532 9
 
1.2%
42995 7
 
0.9%
42915 7
 
0.9%
41590 6
 
0.8%
42630 5
 
0.6%
42659 5
 
0.6%
41559 5
 
0.6%
41450 5
 
0.6%
42731 4
 
0.5%
Other values (492) 673
86.7%
(Missing) 38
 
4.9%
ValueCountFrequency (%)
41002 2
0.3%
41005 4
0.5%
41006 1
 
0.1%
41020 1
 
0.1%
41022 1
 
0.1%
41023 1
 
0.1%
41031 1
 
0.1%
41035 1
 
0.1%
41041 2
0.3%
41043 1
 
0.1%
ValueCountFrequency (%)
703815 1
 
0.1%
702965 1
 
0.1%
702718 1
 
0.1%
701802 1
 
0.1%
701120 1
 
0.1%
43019 3
0.4%
43016 4
0.5%
43015 1
 
0.1%
43014 1
 
0.1%
43009 1
 
0.1%

사업장명
Text

Distinct773
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T04:28:33.404286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.2216495
Min length3

Characters and Unicode

Total characters7156
Distinct characters377
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

Unique770 ?
Unique (%)99.2%

Sample

1st row드림상호저축은행
2nd row청운아파트
3rd row대신지하상가
4th row삼성금융프라자
5th row중앙로 지하철역
ValueCountFrequency (%)
아파트 83
 
6.9%
지하주차장 75
 
6.3%
지하 39
 
3.3%
전동 25
 
2.1%
테크노폴리스 17
 
1.4%
앞 13
 
1.1%
주차장 10
 
0.8%
도시철도 8
 
0.7%
대덕2차맨션 7
 
0.6%
지하철 6
 
0.5%
Other values (822) 914
76.4%
2023-12-11T04:28:34.038348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
422
 
5.9%
아 315
 
4.4%
지 291
 
4.1%
파 283
 
4.0%
트 279
 
3.9%
하 206
 
2.9%
대 165
 
2.3%
차 164
 
2.3%
성 157
 
2.2%
동 142
 
2.0%
Other values (367) 4732
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6312
88.2%
Space Separator 422
 
5.9%
Decimal Number 314
 
4.4%
Uppercase Letter 55
 
0.8%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Lowercase Letter 12
 
0.2%
Other Punctuation 4
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%
Uppercase Letter
ValueCountFrequency (%)
K 11
20.0%
H 9
16.4%
L 9
16.4%
T 8
14.5%
S 7
12.7%
A 3
 
5.5%
C 3
 
5.5%
E 1
 
1.8%
G 1
 
1.8%
M 1
 
1.8%
Other values (2) 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 111
35.4%
2 83
26.4%
0 46
14.6%
3 25
 
8.0%
5 15
 
4.8%
6 13
 
4.1%
4 13
 
4.1%
7 4
 
1.3%
8 4
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
50.0%
l 3
25.0%
h 3
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
422
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6312
88.2%
Common 777
 
10.9%
Latin 67
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%
Common
ValueCountFrequency (%)
422
54.3%
1 111
 
14.3%
2 83
 
10.7%
0 46
 
5.9%
3 25
 
3.2%
( 18
 
2.3%
) 18
 
2.3%
5 15
 
1.9%
6 13
 
1.7%
4 13
 
1.7%
Other values (6) 13
 
1.7%
Latin
ValueCountFrequency (%)
K 11
16.4%
H 9
13.4%
L 9
13.4%
T 8
11.9%
S 7
10.4%
e 6
9.0%
l 3
 
4.5%
h 3
 
4.5%
A 3
 
4.5%
C 3
 
4.5%
Other values (5) 5
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6312
88.2%
ASCII 844
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
422
50.0%
1 111
 
13.2%
2 83
 
9.8%
0 46
 
5.5%
3 25
 
3.0%
( 18
 
2.1%
) 18
 
2.1%
5 15
 
1.8%
6 13
 
1.5%
4 13
 
1.5%
Other values (21) 80
 
9.5%
Hangul
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct776
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0200514 × 1013
Minimum2.0161128 × 1013
Maximum2.0210727 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:34.293116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0161128 × 1013
5-th percentile2.0190523 × 1013
Q12.0191206 × 1013
median2.0200973 × 1013
Q32.0210614 × 1013
95-th percentile2.0210705 × 1013
Maximum2.0210727 × 1013
Range4.9598998 × 1010
Interquartile range (IQR)1.9408059 × 1010

Descriptive statistics

Standard deviation1.0305162 × 1010
Coefficient of variation (CV)0.00051014355
Kurtosis0.38611019
Mean2.0200514 × 1013
Median Absolute Deviation (MAD)9.6509952 × 109
Skewness-0.8067638
Sum1.5675599 × 1016
Variance1.0619636 × 1020
MonotonicityNot monotonic
2023-12-11T04:28:34.543206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201222195100 1
 
0.1%
20210108153923 1
 
0.1%
20210222101318 1
 
0.1%
20210222101457 1
 
0.1%
20191211110355 1
 
0.1%
20191211110424 1
 
0.1%
20191211103934 1
 
0.1%
20210702103457 1
 
0.1%
20210222102231 1
 
0.1%
20200227140023 1
 
0.1%
Other values (766) 766
98.7%
ValueCountFrequency (%)
20161128153926 1
0.1%
20161128162150 1
0.1%
20170422111654 1
0.1%
20170422111826 1
0.1%
20170422112257 1
0.1%
20170512152323 1
0.1%
20170512153927 1
0.1%
20170514174955 1
0.1%
20170514182451 1
0.1%
20170514182518 1
0.1%
ValueCountFrequency (%)
20210727152123 1
0.1%
20210727152033 1
0.1%
20210726105455 1
0.1%
20210723143556 1
0.1%
20210723143533 1
0.1%
20210723143504 1
0.1%
20210723143332 1
0.1%
20210706115632 1
0.1%
20210706115546 1
0.1%
20210706115507 1
0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
U
737 
I
 
39

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 737
95.0%
I 39
 
5.0%

Length

2023-12-11T04:28:34.748210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:34.912700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 737
95.0%
i 39
 
5.0%

데이터갱신일자
Date

Distinct106
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-29 02:40:00
2023-12-11T04:28:35.084183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:28:35.319326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct709
Distinct (%)92.6%
Missing10
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean342189.5
Minimum327853.17
Maximum358199.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:35.516255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327853.17
5-th percentile332337.5
Q1338399.72
median341960.69
Q3346025.19
95-th percentile353027.75
Maximum358199.77
Range30346.598
Interquartile range (IQR)7625.4655

Descriptive statistics

Standard deviation5749.6674
Coefficient of variation (CV)0.016802583
Kurtosis-0.14636375
Mean342189.5
Median Absolute Deviation (MAD)3736.628
Skewness0.19755487
Sum2.6211716 × 108
Variance33058675
MonotonicityNot monotonic
2023-12-11T04:28:35.739110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343954.889867 8
 
1.0%
344065.750359 7
 
0.9%
344267.484864 5
 
0.6%
341586.9551 4
 
0.5%
337093.983895 4
 
0.5%
345299.742438 4
 
0.5%
340742.132593 3
 
0.4%
337173.65604 3
 
0.4%
337189.388196 3
 
0.4%
344024.156176 3
 
0.4%
Other values (699) 722
93.0%
(Missing) 10
 
1.3%
ValueCountFrequency (%)
327853.173809 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%
330493.0 1
0.1%
330573.646469 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 

Distinct709
Distinct (%)92.6%
Missing10
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean262810.93
Minimum240358.72
Maximum277698.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T04:28:35.948964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile256785.13
Q1260452.23
median263077.36
Q3265607.33
95-th percentile271078.33
Maximum277698.43
Range37339.709
Interquartile range (IQR)5155.0999

Descriptive statistics

Standard deviation4974.0749
Coefficient of variation (CV)0.018926439
Kurtosis3.9928991
Mean262810.93
Median Absolute Deviation (MAD)2603.8071
Skewness-1.1525433
Sum2.0131317 × 108
Variance24741422
MonotonicityNot monotonic
2023-12-11T04:28:36.591062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267834.090945 8
 
1.0%
260493.718002 7
 
0.9%
260473.55007 5
 
0.6%
261584.170369 4
 
0.5%
263201.443499 4
 
0.5%
266806.443246 4
 
0.5%
264635.655231 3
 
0.4%
262329.219282 3
 
0.4%
262643.941119 3
 
0.4%
262779.451336 3
 
0.4%
Other values (699) 722
93.0%
(Missing) 10
 
1.3%
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 (%)
277698.431651 1
0.1%
273712.082489 1
0.1%
273441.249973 1
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%
272560.002801 1
0.1%
272453.986313 1
0.1%

비상시설위치
Text

Distinct724
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T04:28:37.159396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length20.796392
Min length16

Characters and Unicode

Total characters16138
Distinct characters175
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique699 ?
Unique (%)90.1%

Sample

1st row대구광역시 중구 동인동2가 11번지
2nd row대구광역시 중구 대봉동 111번지 1호
3rd row대구광역시 중구 대신동 115번지 1호
4th row대구광역시 중구 덕산동 110번지
5th row대구광역시 중구 남일동 143번지 1호
ValueCountFrequency (%)
대구광역시 776
22.0%
달서구 199
 
5.6%
1호 144
 
4.1%
북구 144
 
4.1%
동구 106
 
3.0%
수성구 93
 
2.6%
달성군 91
 
2.6%
남구 69
 
2.0%
2호 48
 
1.4%
중구 40
 
1.1%
Other values (769) 1821
51.6%
2023-12-11T04:28:37.994289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2755
17.1%
구 1484
 
9.2%
대 847
 
5.2%
동 807
 
5.0%
지 806
 
5.0%
역 782
 
4.8%
시 779
 
4.8%
광 776
 
4.8%
번 764
 
4.7%
1 741
 
4.6%
Other values (165) 5597
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10343
64.1%
Decimal Number 3034
 
18.8%
Space Separator 2755
 
17.1%
Dash Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%
Decimal Number
ValueCountFrequency (%)
1 741
24.4%
2 390
12.9%
3 299
9.9%
5 278
 
9.2%
0 260
 
8.6%
4 236
 
7.8%
6 225
 
7.4%
7 216
 
7.1%
9 206
 
6.8%
8 183
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
2755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10343
64.1%
Common 5793
35.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%
Common
ValueCountFrequency (%)
2755
47.6%
1 741
 
12.8%
2 390
 
6.7%
3 299
 
5.2%
5 278
 
4.8%
0 260
 
4.5%
4 236
 
4.1%
6 225
 
3.9%
7 216
 
3.7%
9 206
 
3.6%
Other values (3) 187
 
3.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10343
64.1%
ASCII 5795
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2755
47.5%
1 741
 
12.8%
2 390
 
6.7%
3 299
 
5.2%
5 278
 
4.8%
0 260
 
4.5%
4 236
 
4.1%
6 225
 
3.9%
7 216
 
3.7%
9 206
 
3.6%
Other values (5) 189
 
3.3%
Hangul
ValueCountFrequency (%)
구 1484
14.3%
대 847
 
8.2%
동 807
 
7.8%
지 806
 
7.8%
역 782
 
7.6%
시 779
 
7.5%
광 776
 
7.5%
번 764
 
7.4%
호 391
 
3.8%
달 291
 
2.8%
Other values (150) 2616
25.3%

시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
공공시설
773 
민간시설
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 773
99.6%
민간시설 3
 
0.4%

Length

2023-12-11T04:28:38.222663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:28:38.396629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 773
99.6%
민간시설 3
 
0.4%

시설명_건물명
Text

Distinct773
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T04:28:38.771944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.2216495
Min length3

Characters and Unicode

Total characters7156
Distinct characters377
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

Unique770 ?
Unique (%)99.2%

Sample

1st row드림상호저축은행
2nd row청운아파트
3rd row대신지하상가
4th row삼성금융프라자
5th row중앙로 지하철역
ValueCountFrequency (%)
아파트 83
 
6.9%
지하주차장 75
 
6.3%
지하 39
 
3.3%
전동 25
 
2.1%
테크노폴리스 17
 
1.4%
앞 13
 
1.1%
주차장 10
 
0.8%
도시철도 8
 
0.7%
대덕2차맨션 7
 
0.6%
지하철 6
 
0.5%
Other values (822) 914
76.4%
2023-12-11T04:28:39.444208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
422
 
5.9%
아 315
 
4.4%
지 291
 
4.1%
파 283
 
4.0%
트 279
 
3.9%
하 206
 
2.9%
대 165
 
2.3%
차 164
 
2.3%
성 157
 
2.2%
동 142
 
2.0%
Other values (367) 4732
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6312
88.2%
Space Separator 422
 
5.9%
Decimal Number 314
 
4.4%
Uppercase Letter 55
 
0.8%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Lowercase Letter 12
 
0.2%
Other Punctuation 4
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%
Uppercase Letter
ValueCountFrequency (%)
K 11
20.0%
H 9
16.4%
L 9
16.4%
T 8
14.5%
S 7
12.7%
A 3
 
5.5%
C 3
 
5.5%
E 1
 
1.8%
G 1
 
1.8%
M 1
 
1.8%
Other values (2) 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 111
35.4%
2 83
26.4%
0 46
14.6%
3 25
 
8.0%
5 15
 
4.8%
6 13
 
4.1%
4 13
 
4.1%
7 4
 
1.3%
8 4
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
50.0%
l 3
25.0%
h 3
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
422
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6312
88.2%
Common 777
 
10.9%
Latin 67
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%
Common
ValueCountFrequency (%)
422
54.3%
1 111
 
14.3%
2 83
 
10.7%
0 46
 
5.9%
3 25
 
3.2%
( 18
 
2.3%
) 18
 
2.3%
5 15
 
1.9%
6 13
 
1.7%
4 13
 
1.7%
Other values (6) 13
 
1.7%
Latin
ValueCountFrequency (%)
K 11
16.4%
H 9
13.4%
L 9
13.4%
T 8
11.9%
S 7
10.4%
e 6
9.0%
l 3
 
4.5%
h 3
 
4.5%
A 3
 
4.5%
C 3
 
4.5%
Other values (5) 5
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6312
88.2%
ASCII 844
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
422
50.0%
1 111
 
13.2%
2 83
 
9.8%
0 46
 
5.5%
3 25
 
3.0%
( 18
 
2.1%
) 18
 
2.1%
5 15
 
1.8%
6 13
 
1.5%
4 13
 
1.5%
Other values (21) 80
 
9.5%
Hangul
ValueCountFrequency (%)
아 315
 
5.0%
지 291
 
4.6%
파 283
 
4.5%
트 279
 
4.4%
하 206
 
3.3%
대 165
 
2.6%
차 164
 
2.6%
성 157
 
2.5%
동 142
 
2.2%
주 122
 
1.9%
Other values (336) 4188
66.3%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing776
Missing (%)100.0%
Memory size6.9 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
01민방위대피시설11_46_02_P34100003410000-S19920003219920904<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3671.0<NA>대구광역시 중구 동인동2가 11번지대구광역시 중구 국채보상로 645 (동인동2가, 드림상호저축은행)41914드림상호저축은행20201222195100U2020-12-24 02:40:00.0<NA>344555.972413264522.908402대구광역시 중구 동인동2가 11번지공공시설드림상호저축은행<NA>
12민방위대피시설11_46_02_P34100003410000-S19860000319861205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2632.0<NA>대구광역시 중구 대봉동 111번지 1호대구광역시 중구 동덕로 33 (대봉동, 청운맨션아파트)41954청운아파트20201222145137U2020-12-24 02:40:00.0<NA>344781.041867263166.287036대구광역시 중구 대봉동 111번지 1호공공시설청운아파트<NA>
23민방위대피시설11_46_02_P34100003410000-S19910001119910430<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9036.0<NA>대구광역시 중구 대신동 115번지 1호대구광역시 중구 국채보상로 지하 470 (대신동)<NA>대신지하상가20210516105839U2021-05-18 02:40:00.0<NA><NA><NA>대구광역시 중구 대신동 115번지 1호공공시설대신지하상가<NA>
34민방위대피시설11_46_02_P34100003410000-S20040000220040105<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>29897.0<NA>대구광역시 중구 덕산동 110번지대구광역시 중구 달구벌대로 2095 (덕산동, 삼성생명)41936삼성금융프라자20210507105141U2021-05-09 02:40:00.0<NA>343787.134091264065.576741대구광역시 중구 덕산동 110번지공공시설삼성금융프라자<NA>
45민방위대피시설11_46_02_P34100003410000-S19970000219970901<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>10428.0<NA>대구광역시 중구 남일동 143번지 1호대구광역시 중구 중앙대로 지하 424 (남일동, 중앙로역)41909중앙로 지하철역20210526121943U2021-05-28 02:40:00.0<NA>343892.178712264637.260154대구광역시 중구 남일동 143번지 1호공공시설중앙로 지하철역<NA>
56민방위대피시설11_46_02_P34100003410000-S19980000419981110<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7279.0<NA>대구광역시 중구 남산동 88번지대구광역시 중구 달구벌대로 지하 2100 (남산동, 하나은행)41967대구지하철반월당역20210622153033U2021-06-24 02:40:00.0<NA>343838.339371264020.741504대구광역시 중구 남산동 88번지공공시설대구지하철반월당역<NA>
67민방위대피시설11_46_02_P34100003410000-S20030002420030219<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1613.0<NA>대구광역시 중구 동인동1가 2번지 1호대구광역시 중구 공평로 88 (동인동1가, 대구광역시청)41911대구광역시청20201222195432U2020-12-24 02:40:00.0<NA>344563.748321264660.086538대구광역시 중구 동인동1가 2번지 1호공공시설대구광역시청<NA>
78민방위대피시설11_46_02_P34100003410000-S20060000120060612<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>23321.0<NA>대구광역시 중구 덕산동 127번지 1호대구광역시 중구 달구벌대로 지하 2160 (덕산동, 반월당역)41957메트로센터20210507105404U2021-05-09 02:40:00.0<NA>344392.287402263823.292536대구광역시 중구 덕산동 127번지 1호공공시설메트로센터<NA>
89민방위대피시설11_46_02_P34100003410000-S19920003119920102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>789.0<NA>대구광역시 중구 동인동1가 358번지 2호 MS재건병원대구광역시 중구 동덕로 194, MS재건병원 (동인동1가)41905MS재건병원20201222195026U2020-12-24 02:40:00.0<NA>344864.509609264713.227959대구광역시 중구 동인동1가 358번지 2호 MS재건병원공공시설MS재건병원<NA>
910민방위대피시설11_46_02_P34100003410000-S20060000520060612<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5259.0<NA>대구광역시 중구 삼덕동2가 327번지대구광역시 중구 달구벌대로 지하 2190 (삼덕동2가, 경대병원역)41948경대병원역20210703143459U2021-07-06 02:40:00.0<NA>344776.952076263851.495406대구광역시 중구 삼덕동2가 327번지공공시설경대병원역<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
766767민방위대피시설11_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)42952청구청산아파트20191206101926U2019-12-08 02:40:00.0<NA>336359.513344257581.577798대구광역시 달성군 화원읍 1734번지 1호공공시설청구청산아파트<NA>
767768민방위대피시설11_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>삼주타운20190523184140U2019-05-25 02:40:00.0<NA>334485.229602257516.968663대구광역시 달성군 화원읍 성산리 55번지공공시설삼주타운<NA>
768769민방위대피시설11_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)42915삼산아파트20191206102638U2019-12-08 02:40:00.0<NA>331685.390023263366.296869대구광역시 달성군 다사읍 719번지 2호공공시설삼산아파트<NA>
769770민방위대피시설11_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 아파트20190523143547U2019-05-25 02:40:00.0<NA>331969.032124262849.651904대구광역시 달성군 다사읍 죽곡리 152번지공공시설태성그린시티 아파트<NA>
770771민방위대피시설11_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)42945한빛아파트20191206102508U2019-12-08 02:40:00.0<NA>334231.210513256369.220396대구광역시 달성군 화원읍 536번지 2호공공시설한빛아파트<NA>
771772민방위대피시설11_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 아파트20190523184407U2019-05-25 02:40:00.0<NA>336549.97252257005.946257대구광역시 달성군 화원읍 113번지 1호공공시설대곡역 그린빌 아파트<NA>
772773민방위대피시설11_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 아파트20190523184443U2019-05-25 02:40:00.0<NA>336113.313538257842.91913대구광역시 달성군 화원읍 1650번지공공시설대곡역 레미안 아파트<NA>
773774민방위대피시설11_46_02_P34800003480000-S20160000120160317<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7955.0<NA>대구광역시 달성군 옥포읍 1105번지대구광역시 달성군 옥포읍 돌미로 51 (대구옥포LH천년나무2단지)42974옥포 천년나무 2단지 아파트20190523184516U2019-05-25 02:40:00.0<NA>329942.0254385.0대구광역시 달성군 옥포읍 1105번지공공시설옥포 천년나무 2단지 아파트<NA>
774775민방위대피시설11_46_02_P34800003480000-S20160000220160316<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7967.0<NA>대구광역시 달성군 현풍읍 480번지대구광역시 달성군 현풍읍 테크노북로4길 11 (대구테크노폴리스남해오네뜨1차)42995테크노폴리스 남해오네뜨 1차 아파트20191206103008U2019-12-08 02:40:00.0<NA>331742.0245059.0대구광역시 달성군 현풍읍 480번지공공시설테크노폴리스 남해오네뜨 1차 아파트<NA>
775776민방위대피시설11_46_02_P34800003480000-S20160000320160428<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11614.0<NA>대구광역시 달성군 유가읍 622번지대구광역시 달성군 유가읍 테크노북로9길 42<NA>테크노폴리스 힐데스하임 아파트20191206102929U2019-12-08 02:40:00.0<NA>332713.0244632.0대구광역시 달성군 유가읍 622번지공공시설테크노폴리스 힐데스하임 아파트<NA>