Overview

Dataset statistics

Number of variables32
Number of observations366
Missing cells3301
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.4 KiB
Average record size in memory275.4 B

Variable types

Numeric11
Categorical8
Text6
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_11_46_01_P_민방위급수시설_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092393&dataSetDetailId=DDI_0000092407&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 204 (55.7%) missing valuesMissing
폐업일자 has 204 (55.7%) missing valuesMissing
휴업시작일자 has 366 (100.0%) missing valuesMissing
휴업종료일자 has 366 (100.0%) missing valuesMissing
재개업일자 has 366 (100.0%) missing valuesMissing
소재지전화 has 366 (100.0%) missing valuesMissing
소재지우편번호 has 366 (100.0%) missing valuesMissing
도로명전체주소 has 110 (30.1%) missing valuesMissing
도로명우편번호 has 131 (35.8%) missing valuesMissing
업태구분명 has 366 (100.0%) missing valuesMissing
좌표정보(X) has 125 (34.2%) missing valuesMissing
좌표정보(Y) has 125 (34.2%) missing valuesMissing
해제일자 has 204 (55.7%) 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 18:46:10.246571
Analysis finished2023-12-10 18:46:11.922698
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.5
Minimum1
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:12.084970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.25
Q192.25
median183.5
Q3274.75
95-th percentile347.75
Maximum366
Range365
Interquartile range (IQR)182.5

Descriptive statistics

Standard deviation105.79934
Coefficient of variation (CV)0.57656315
Kurtosis-1.2
Mean183.5
Median Absolute Deviation (MAD)91.5
Skewness0
Sum67161
Variance11193.5
MonotonicityStrictly increasing
2023-12-11T03:46:12.341178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
Other values (356) 356
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
민방위급수시설
366 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민방위급수시설 366
100.0%

Length

2023-12-11T03:46:12.570432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:12.745057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위급수시설 366
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
11_46_01_P
366 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_46_01_P
2nd row11_46_01_P
3rd row11_46_01_P
4th row11_46_01_P
5th row11_46_01_P

Common Values

ValueCountFrequency (%)
11_46_01_P 366
100.0%

Length

2023-12-11T03:46:12.931217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:13.093629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_01_p 366
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449918
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:13.238438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20466.982
Coefficient of variation (CV)0.0059325996
Kurtosis-1.0179202
Mean3449918
Median Absolute Deviation (MAD)20000
Skewness-0.3146925
Sum1.26267 × 109
Variance4.1889737 × 108
MonotonicityIncreasing
2023-12-11T03:46:13.433145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 81
22.1%
3450000 79
21.6%
3420000 44
12.0%
3460000 42
11.5%
3430000 40
10.9%
3480000 34
9.3%
3440000 29
 
7.9%
3410000 17
 
4.6%
ValueCountFrequency (%)
3410000 17
 
4.6%
3420000 44
12.0%
3430000 40
10.9%
3440000 29
 
7.9%
3450000 79
21.6%
3460000 42
11.5%
3470000 81
22.1%
3480000 34
9.3%
ValueCountFrequency (%)
3480000 34
9.3%
3470000 81
22.1%
3460000 42
11.5%
3450000 79
21.6%
3440000 29
 
7.9%
3430000 40
10.9%
3420000 44
12.0%
3410000 17
 
4.6%

관리번호
Text

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T03:46:13.732722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters6588
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)100.0%

Sample

1st row3410000-E199500001
2nd row3410000-E198200001
3rd row3410000-E197800002
4th row3410000-E199500002
5th row3410000-E199900001
ValueCountFrequency (%)
3410000-e199500001 1
 
0.3%
3460000-e199300001 1
 
0.3%
3460000-e199200002 1
 
0.3%
3460000-e198900003 1
 
0.3%
3460000-e199000001 1
 
0.3%
3460000-e198400002 1
 
0.3%
3460000-e199200005 1
 
0.3%
3460000-e199600005 1
 
0.3%
3460000-e198300002 1
 
0.3%
3460000-e1984001 1
 
0.3%
Other values (356) 356
97.3%
2023-12-11T03:46:14.268276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3270
49.6%
3 508
 
7.7%
4 467
 
7.1%
1 415
 
6.3%
2 368
 
5.6%
- 366
 
5.6%
E 366
 
5.6%
9 345
 
5.2%
7 140
 
2.1%
8 128
 
1.9%
Other values (3) 215
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5850
88.8%
Dash Punctuation 366
 
5.6%
Uppercase Letter 366
 
5.6%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3270
55.9%
3 508
 
8.7%
4 467
 
8.0%
1 415
 
7.1%
2 368
 
6.3%
9 345
 
5.9%
7 140
 
2.4%
8 128
 
2.2%
5 123
 
2.1%
6 86
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 366
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6222
94.4%
Latin 366
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3270
52.6%
3 508
 
8.2%
4 467
 
7.5%
1 415
 
6.7%
2 368
 
5.9%
- 366
 
5.9%
9 345
 
5.5%
7 140
 
2.3%
8 128
 
2.1%
5 123
 
2.0%
Other values (2) 92
 
1.5%
Latin
ValueCountFrequency (%)
E 366
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3270
49.6%
3 508
 
7.7%
4 467
 
7.1%
1 415
 
6.3%
2 368
 
5.6%
- 366
 
5.6%
E 366
 
5.6%
9 345
 
5.2%
7 140
 
2.1%
8 128
 
1.9%
Other values (3) 215
 
3.3%

인허가일자
Real number (ℝ)

Distinct190
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20000269
Minimum19700430
Maximum20220106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:14.531199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700430
5-th percentile19821006
Q119930278
median20000530
Q320090206
95-th percentile20190523
Maximum20220106
Range519676
Interquartile range (IQR)159928

Descriptive statistics

Standard deviation109876.14
Coefficient of variation (CV)0.0054937333
Kurtosis-0.67647485
Mean20000269
Median Absolute Deviation (MAD)80701
Skewness-0.072544864
Sum7.3200984 × 109
Variance1.2072767 × 1010
MonotonicityNot monotonic
2023-12-11T03:46:14.820872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000530 23
 
6.3%
19990101 14
 
3.8%
20100907 10
 
2.7%
20070206 9
 
2.5%
20190523 8
 
2.2%
19970101 8
 
2.2%
20090206 8
 
2.2%
20081231 6
 
1.6%
20120307 6
 
1.6%
19821006 6
 
1.6%
Other values (180) 268
73.2%
ValueCountFrequency (%)
19700430 1
0.3%
19760101 1
0.3%
19781226 2
0.5%
19781228 1
0.3%
19790101 1
0.3%
19800102 1
0.3%
19801220 1
0.3%
19810808 1
0.3%
19810817 1
0.3%
19820104 2
0.5%
ValueCountFrequency (%)
20220106 1
 
0.3%
20211230 4
1.1%
20210511 4
1.1%
20210310 1
 
0.3%
20200427 2
 
0.5%
20190523 8
2.2%
20190314 2
 
0.5%
20190219 1
 
0.3%
20181030 1
 
0.3%
20180521 1
 
0.3%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)61.1%
Missing204
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean20109452
Minimum20040714
Maximum20211220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:15.069114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040714
5-th percentile20050628
Q120070206
median20091018
Q320150650
95-th percentile20209857
Maximum20211220
Range170506
Interquartile range (IQR)80443.5

Descriptive statistics

Standard deviation48680.911
Coefficient of variation (CV)0.0024207975
Kurtosis-0.74859116
Mean20109452
Median Absolute Deviation (MAD)29949
Skewness0.63835303
Sum3.2577312 × 109
Variance2.3698311 × 109
MonotonicityNot monotonic
2023-12-11T03:46:15.293432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628 15
 
4.1%
20090806 6
 
1.6%
20070206 6
 
1.6%
20070122 6
 
1.6%
20090226 6
 
1.6%
20120619 5
 
1.4%
20120210 4
 
1.1%
20081219 4
 
1.1%
20070906 4
 
1.1%
20091021 3
 
0.8%
Other values (89) 103
28.1%
(Missing) 204
55.7%
ValueCountFrequency (%)
20040714 1
 
0.3%
20050609 1
 
0.3%
20050628 15
4.1%
20050711 1
 
0.3%
20050929 1
 
0.3%
20051118 1
 
0.3%
20060102 1
 
0.3%
20060522 1
 
0.3%
20060630 1
 
0.3%
20060727 1
 
0.3%
ValueCountFrequency (%)
20211220 1
0.3%
20211208 1
0.3%
20211026 1
0.3%
20211001 1
0.3%
20210928 1
0.3%
20210914 1
0.3%
20210618 1
0.3%
20210517 1
0.3%
20210312 1
0.3%
20201215 1
0.3%

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
204 
4
162 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 204
55.7%
4 162
44.3%

Length

2023-12-11T03:46:15.532499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:15.682993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 204
55.7%
4 162
44.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영업/정상
204 
취소/말소/만료/정지/중지
162 

Length

Max length14
Median length5
Mean length8.9836066
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 204
55.7%
취소/말소/만료/정지/중지 162
44.3%

Length

2023-12-11T03:46:15.827027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:15.967832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 204
55.7%
취소/말소/만료/정지/중지 162
44.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
18
204 
19
162 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row19
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 204
55.7%
19 162
44.3%

Length

2023-12-11T03:46:16.147320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:16.298445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 204
55.7%
19 162
44.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
사용중
204 
사용중지
162 

Length

Max length4
Median length3
Mean length3.442623
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 204
55.7%
사용중지 162
44.3%

Length

2023-12-11T03:46:16.447136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:16.618512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 204
55.7%
사용중지 162
44.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)61.1%
Missing204
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean20109452
Minimum20040714
Maximum20211220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:16.762316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040714
5-th percentile20050628
Q120070206
median20091018
Q320150650
95-th percentile20209857
Maximum20211220
Range170506
Interquartile range (IQR)80443.5

Descriptive statistics

Standard deviation48680.911
Coefficient of variation (CV)0.0024207975
Kurtosis-0.74859116
Mean20109452
Median Absolute Deviation (MAD)29949
Skewness0.63835303
Sum3.2577312 × 109
Variance2.3698311 × 109
MonotonicityNot monotonic
2023-12-11T03:46:16.972412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628 15
 
4.1%
20090806 6
 
1.6%
20070206 6
 
1.6%
20070122 6
 
1.6%
20090226 6
 
1.6%
20120619 5
 
1.4%
20120210 4
 
1.1%
20081219 4
 
1.1%
20070906 4
 
1.1%
20091021 3
 
0.8%
Other values (89) 103
28.1%
(Missing) 204
55.7%
ValueCountFrequency (%)
20040714 1
 
0.3%
20050609 1
 
0.3%
20050628 15
4.1%
20050711 1
 
0.3%
20050929 1
 
0.3%
20051118 1
 
0.3%
20060102 1
 
0.3%
20060522 1
 
0.3%
20060630 1
 
0.3%
20060727 1
 
0.3%
ValueCountFrequency (%)
20211220 1
0.3%
20211208 1
0.3%
20211026 1
0.3%
20211001 1
0.3%
20210928 1
0.3%
20210914 1
0.3%
20210618 1
0.3%
20210517 1
0.3%
20210312 1
0.3%
20201215 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

소재지면적
Real number (ℝ)

Distinct126
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336.46995
Minimum0
Maximum10118
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:17.209898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71.25
Q1150
median260
Q3400
95-th percentile700
Maximum10118
Range10118
Interquartile range (IQR)250

Descriptive statistics

Standard deviation562.27815
Coefficient of variation (CV)1.6711096
Kurtosis252.41383
Mean336.46995
Median Absolute Deviation (MAD)110
Skewness14.647188
Sum123148
Variance316156.72
MonotonicityNot monotonic
2023-12-11T03:46:17.757997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 31
 
8.5%
300 22
 
6.0%
250 20
 
5.5%
500 15
 
4.1%
150 14
 
3.8%
100 13
 
3.6%
400 12
 
3.3%
90 11
 
3.0%
288 10
 
2.7%
350 9
 
2.5%
Other values (116) 209
57.1%
ValueCountFrequency (%)
0 2
0.5%
20 1
 
0.3%
40 1
 
0.3%
45 1
 
0.3%
50 4
1.1%
55 1
 
0.3%
60 2
0.5%
63 2
0.5%
65 1
 
0.3%
70 4
1.1%
ValueCountFrequency (%)
10118 1
0.3%
2000 1
0.3%
1500 1
0.3%
1350 1
0.3%
1200 1
0.3%
1138 1
0.3%
1000 2
0.5%
906 1
0.3%
900 2
0.5%
864 1
0.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

소재지전체주소
Text

Distinct344
Distinct (%)94.2%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T03:46:18.098321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.328767
Min length15

Characters and Unicode

Total characters7785
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)89.0%

Sample

1st row대구광역시 중구 대봉동 31번지 32호
2nd row대구광역시 중구 동인동3가 228번지
3rd row대구광역시 중구 남산동 2967번지 4 호
4th row대구광역시 중구 남산동 2508번지 1호
5th row대구광역시 중구 문화동 12번지 8호
ValueCountFrequency (%)
대구광역시 365
 
21.2%
달서구 80
 
4.7%
북구 79
 
4.6%
1호 49
 
2.9%
동구 44
 
2.6%
수성구 42
 
2.4%
서구 40
 
2.3%
달성군 34
 
2.0%
남구 29
 
1.7%
2호 28
 
1.6%
Other values (492) 929
54.0%
2023-12-11T03:46:18.616933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1515
19.5%
구 709
 
9.1%
대 398
 
5.1%
동 384
 
4.9%
시 366
 
4.7%
광 365
 
4.7%
역 365
 
4.7%
1 347
 
4.5%
지 316
 
4.1%
번 306
 
3.9%
Other values (139) 2714
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4751
61.0%
Space Separator 1515
 
19.5%
Decimal Number 1479
 
19.0%
Dash Punctuation 33
 
0.4%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%
Decimal Number
ValueCountFrequency (%)
1 347
23.5%
2 188
12.7%
3 166
11.2%
4 137
 
9.3%
0 129
 
8.7%
5 115
 
7.8%
6 110
 
7.4%
8 106
 
7.2%
7 99
 
6.7%
9 82
 
5.5%
Space Separator
ValueCountFrequency (%)
1515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4751
61.0%
Common 3034
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%
Common
ValueCountFrequency (%)
1515
49.9%
1 347
 
11.4%
2 188
 
6.2%
3 166
 
5.5%
4 137
 
4.5%
0 129
 
4.3%
5 115
 
3.8%
6 110
 
3.6%
8 106
 
3.5%
7 99
 
3.3%
Other values (5) 122
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4751
61.0%
ASCII 3034
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1515
49.9%
1 347
 
11.4%
2 188
 
6.2%
3 166
 
5.5%
4 137
 
4.5%
0 129
 
4.3%
5 115
 
3.8%
6 110
 
3.6%
8 106
 
3.5%
7 99
 
3.3%
Other values (5) 122
 
4.0%
Hangul
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%

도로명전체주소
Text

MISSING 

Distinct236
Distinct (%)92.2%
Missing110
Missing (%)30.1%
Memory size3.0 KiB
2023-12-11T03:46:19.065543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.113281
Min length20

Characters and Unicode

Total characters6941
Distinct characters259
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)85.5%

Sample

1st row대구광역시 중구 동덕로8길 34-6 (대봉동)
2nd row대구광역시 중구 국채보상로149길 50 (동인동3가, 동인시영아파트)
3rd row대구광역시 중구 달구벌대로 1926 (남산동, 대구중부소방서)
4th row대구광역시 중구 남산로1길 42 (남산동, 남산4동주민센터)
5th row대구광역시 중구 동성로12길 16-1 (문화동, 궁전목욕탕)
ValueCountFrequency (%)
대구광역시 256
 
18.5%
달서구 62
 
4.5%
북구 50
 
3.6%
수성구 35
 
2.5%
달성군 30
 
2.2%
동구 27
 
2.0%
서구 22
 
1.6%
중구 16
 
1.2%
남구 14
 
1.0%
이곡동 11
 
0.8%
Other values (544) 859
62.2%
2023-12-11T03:46:19.682925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1132
 
16.3%
구 525
 
7.6%
대 340
 
4.9%
동 301
 
4.3%
시 264
 
3.8%
역 261
 
3.8%
광 257
 
3.7%
로 244
 
3.5%
( 229
 
3.3%
) 229
 
3.3%
Other values (249) 3159
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4381
63.1%
Space Separator 1132
 
16.3%
Decimal Number 841
 
12.1%
Open Punctuation 229
 
3.3%
Close Punctuation 229
 
3.3%
Other Punctuation 101
 
1.5%
Dash Punctuation 28
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 525
 
12.0%
대 340
 
7.8%
동 301
 
6.9%
시 264
 
6.0%
역 261
 
6.0%
광 257
 
5.9%
로 244
 
5.6%
성 120
 
2.7%
서 119
 
2.7%
달 113
 
2.6%
Other values (234) 1837
41.9%
Decimal Number
ValueCountFrequency (%)
1 176
20.9%
2 131
15.6%
3 88
10.5%
5 84
10.0%
4 75
8.9%
0 72
8.6%
6 64
 
7.6%
7 59
 
7.0%
9 52
 
6.2%
8 40
 
4.8%
Space Separator
ValueCountFrequency (%)
1132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 229
100.0%
Other Punctuation
ValueCountFrequency (%)
, 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4381
63.1%
Common 2560
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 525
 
12.0%
대 340
 
7.8%
동 301
 
6.9%
시 264
 
6.0%
역 261
 
6.0%
광 257
 
5.9%
로 244
 
5.6%
성 120
 
2.7%
서 119
 
2.7%
달 113
 
2.6%
Other values (234) 1837
41.9%
Common
ValueCountFrequency (%)
1132
44.2%
( 229
 
8.9%
) 229
 
8.9%
1 176
 
6.9%
2 131
 
5.1%
, 101
 
3.9%
3 88
 
3.4%
5 84
 
3.3%
4 75
 
2.9%
0 72
 
2.8%
Other values (5) 243
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4381
63.1%
ASCII 2560
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1132
44.2%
( 229
 
8.9%
) 229
 
8.9%
1 176
 
6.9%
2 131
 
5.1%
, 101
 
3.9%
3 88
 
3.4%
5 84
 
3.3%
4 75
 
2.9%
0 72
 
2.8%
Other values (5) 243
 
9.5%
Hangul
ValueCountFrequency (%)
구 525
 
12.0%
대 340
 
7.8%
동 301
 
6.9%
시 264
 
6.0%
역 261
 
6.0%
광 257
 
5.9%
로 244
 
5.6%
성 120
 
2.7%
서 119
 
2.7%
달 113
 
2.6%
Other values (234) 1837
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)82.1%
Missing131
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean106904.52
Minimum41005
Maximum711813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:19.910663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41166
Q141579
median42222
Q342797.5
95-th percentile703117.6
Maximum711813
Range670808
Interquartile range (IQR)1218.5

Descriptive statistics

Standard deviation197097.61
Coefficient of variation (CV)1.8436788
Kurtosis5.4674398
Mean106904.52
Median Absolute Deviation (MAD)596
Skewness2.7240952
Sum25122563
Variance3.8847466 × 1010
MonotonicityNot monotonic
2023-12-11T03:46:20.119297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42913 4
 
1.1%
41463 3
 
0.8%
41451 3
 
0.8%
42610 3
 
0.8%
42699 2
 
0.5%
41758 2
 
0.5%
42605 2
 
0.5%
42630 2
 
0.5%
42833 2
 
0.5%
41717 2
 
0.5%
Other values (183) 210
57.4%
(Missing) 131
35.8%
ValueCountFrequency (%)
41005 1
0.3%
41052 2
0.5%
41075 1
0.3%
41091 1
0.3%
41099 1
0.3%
41100 1
0.3%
41107 1
0.3%
41124 1
0.3%
41147 1
0.3%
41163 1
0.3%
ValueCountFrequency (%)
711813 1
0.3%
706853 1
0.3%
706822 1
0.3%
706804 1
0.3%
705811 1
0.3%
705802 1
0.3%
705702 1
0.3%
704828 1
0.3%
704723 1
0.3%
704220 1
0.3%

사업장명
Text

Distinct354
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T03:46:20.423007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.0054645
Min length2

Characters and Unicode

Total characters2930
Distinct characters328
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)94.0%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.5%
민방위 27
 
5.6%
목욕탕 5
 
1.0%
우영펠리스 3
 
0.6%
정부지원 3
 
0.6%
보건대 3
 
0.6%
지묘동 3
 
0.6%
황금초등학교 3
 
0.6%
사우나 3
 
0.6%
영송생활관 3
 
0.6%
Other values (376) 394
81.6%
2023-12-11T03:46:20.852639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
4.0%
수 66
 
2.3%
시 62
 
2.1%
원 62
 
2.1%
대 62
 
2.1%
공 60
 
2.0%
동 53
 
1.8%
( 52
 
1.8%
) 52
 
1.8%
설 49
 
1.7%
Other values (318) 2295
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2629
89.7%
Space Separator 117
 
4.0%
Decimal Number 62
 
2.1%
Open Punctuation 52
 
1.8%
Close Punctuation 52
 
1.8%
Uppercase Letter 10
 
0.3%
Dash Punctuation 4
 
0.1%
Connector Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%
Decimal Number
ValueCountFrequency (%)
2 25
40.3%
1 22
35.5%
3 5
 
8.1%
5 4
 
6.5%
0 3
 
4.8%
7 1
 
1.6%
8 1
 
1.6%
4 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
A 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2629
89.7%
Common 291
 
9.9%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%
Common
ValueCountFrequency (%)
117
40.2%
( 52
17.9%
) 52
17.9%
2 25
 
8.6%
1 22
 
7.6%
3 5
 
1.7%
- 4
 
1.4%
_ 4
 
1.4%
5 4
 
1.4%
0 3
 
1.0%
Other values (3) 3
 
1.0%
Latin
ValueCountFrequency (%)
K 3
30.0%
A 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2629
89.7%
ASCII 301
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
38.9%
( 52
17.3%
) 52
17.3%
2 25
 
8.3%
1 22
 
7.3%
3 5
 
1.7%
- 4
 
1.3%
_ 4
 
1.3%
5 4
 
1.3%
K 3
 
1.0%
Other values (11) 13
 
4.3%
Hangul
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%

최종수정시점
Real number (ℝ)

Distinct335
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158307 × 1013
Minimum2.0031209 × 1013
Maximum2.0220119 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:21.004098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0031209 × 1013
5-th percentile2.0053024 × 1013
Q12.0110725 × 1013
median2.0180122 × 1013
Q32.0201022 × 1013
95-th percentile2.0211182 × 1013
Maximum2.0220119 × 1013
Range1.8891013 × 1011
Interquartile range (IQR)9.0297002 × 1010

Descriptive statistics

Standard deviation5.4084444 × 1010
Coefficient of variation (CV)0.0026829854
Kurtosis-0.8246132
Mean2.0158307 × 1013
Median Absolute Deviation (MAD)3.0495512 × 1010
Skewness-0.79149836
Sum7.3779404 × 1015
Variance2.9251271 × 1021
MonotonicityNot monotonic
2023-12-11T03:46:21.160903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628000000 16
 
4.4%
20070808000000 7
 
1.9%
20070131000000 6
 
1.6%
20061220000000 3
 
0.8%
20061106000000 3
 
0.8%
20031209000000 2
 
0.5%
20200628145937 1
 
0.3%
20120312093224 1
 
0.3%
20180112113819 1
 
0.3%
20091216170304 1
 
0.3%
Other values (325) 325
88.8%
ValueCountFrequency (%)
20031209000000 2
 
0.5%
20040805000000 1
 
0.3%
20050628000000 16
4.4%
20060210000000 1
 
0.3%
20060704000000 1
 
0.3%
20060808000000 1
 
0.3%
20061015000000 1
 
0.3%
20061106000000 3
 
0.8%
20061220000000 3
 
0.8%
20070131000000 6
 
1.6%
ValueCountFrequency (%)
20220119125531 1
0.3%
20220119113827 1
0.3%
20220119093349 1
0.3%
20220119093032 1
0.3%
20220119092834 1
0.3%
20220119092742 1
0.3%
20220107160303 1
0.3%
20220106131618 1
0.3%
20211229111816 1
0.3%
20211224100546 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
207 
U
159 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 207
56.6%
U 159
43.4%

Length

2023-12-11T03:46:21.293716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:21.377847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 207
56.6%
u 159
43.4%

데이터갱신일자
Date

Distinct74
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-21 02:40:00
2023-12-11T03:46:21.475949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:46:21.601478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)92.5%
Missing125
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean341804.19
Minimum328293.62
Maximum356191.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:21.719926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328293.62
5-th percentile332450.35
Q1338198.4
median341458.67
Q3345521.87
95-th percentile350894.1
Maximum356191.66
Range27898.032
Interquartile range (IQR)7323.479

Descriptive statistics

Standard deviation5492.0079
Coefficient of variation (CV)0.016067702
Kurtosis-0.083466008
Mean341804.19
Median Absolute Deviation (MAD)3807.6685
Skewness0.024847475
Sum82374809
Variance30162150
MonotonicityNot monotonic
2023-12-11T03:46:21.838997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339624.555053 3
 
0.8%
332490.28118 3
 
0.8%
340498.708052 2
 
0.5%
347950.194975 2
 
0.5%
344240.414301 2
 
0.5%
341036.277072 2
 
0.5%
348553.549695 2
 
0.5%
328293.62359 2
 
0.5%
340987.35253 2
 
0.5%
333000.0 2
 
0.5%
Other values (213) 219
59.8%
(Missing) 125
34.2%
ValueCountFrequency (%)
328293.62359 2
0.5%
329329.409219 1
0.3%
330178.0597 1
0.3%
330342.686681 1
0.3%
330350.817259 1
0.3%
330680.336773 1
0.3%
331001.179758 1
0.3%
331299.704438 1
0.3%
331552.548438 1
0.3%
332127.138155 1
0.3%
ValueCountFrequency (%)
356191.655582 1
0.3%
355694.750941 1
0.3%
354384.426573 1
0.3%
354090.430581 1
0.3%
353770.913943 1
0.3%
353740.640174 1
0.3%
353314.716201 1
0.3%
353290.431654 1
0.3%
353156.530464 1
0.3%
352985.740237 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)92.5%
Missing125
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean263310.5
Minimum238769.81
Maximum274814.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:21.964611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile256310.34
Q1261646.14
median263220.39
Q3265718.09
95-th percentile271954.87
Maximum274814.8
Range36044.991
Interquartile range (IQR)4071.9544

Descriptive statistics

Standard deviation5492.6984
Coefficient of variation (CV)0.020860157
Kurtosis4.3474754
Mean263310.5
Median Absolute Deviation (MAD)2186.965
Skewness-1.3050811
Sum63457831
Variance30169735
MonotonicityNot monotonic
2023-12-11T03:46:22.080348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271354.946571 3
 
0.8%
263220.389909 3
 
0.8%
271233.390732 2
 
0.5%
265687.62574 2
 
0.5%
270166.254492 2
 
0.5%
272406.42694 2
 
0.5%
267319.115552 2
 
0.5%
238769.812522 2
 
0.5%
272636.919043 2
 
0.5%
244719.0 2
 
0.5%
Other values (213) 219
59.8%
(Missing) 125
34.2%
ValueCountFrequency (%)
238769.812522 2
0.5%
244719.0 2
0.5%
245205.925241 1
0.3%
245786.069845 1
0.3%
248523.534088 1
0.3%
248675.595433 1
0.3%
248755.772259 1
0.3%
248777.881463 1
0.3%
253705.110911 1
0.3%
254351.635252 1
0.3%
ValueCountFrequency (%)
274814.803071 1
0.3%
274152.151713 1
0.3%
274132.815179 1
0.3%
272960.724753 2
0.5%
272746.870177 1
0.3%
272636.919043 2
0.5%
272453.986313 1
0.3%
272406.42694 2
0.5%
272006.622232 1
0.3%
271954.872281 1
0.3%

비상시설위치
Text

Distinct344
Distinct (%)94.2%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T03:46:22.281660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.328767
Min length15

Characters and Unicode

Total characters7785
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)89.0%

Sample

1st row대구광역시 중구 대봉동 31번지 32호
2nd row대구광역시 중구 동인동3가 228번지
3rd row대구광역시 중구 남산동 2967번지 4 호
4th row대구광역시 중구 남산동 2508번지 1호
5th row대구광역시 중구 문화동 12번지 8호
ValueCountFrequency (%)
대구광역시 365
 
21.2%
달서구 80
 
4.7%
북구 79
 
4.6%
1호 49
 
2.9%
동구 44
 
2.6%
수성구 42
 
2.4%
서구 40
 
2.3%
달성군 34
 
2.0%
남구 29
 
1.7%
2호 28
 
1.6%
Other values (492) 929
54.0%
2023-12-11T03:46:22.601317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1515
19.5%
구 709
 
9.1%
대 398
 
5.1%
동 384
 
4.9%
시 366
 
4.7%
광 365
 
4.7%
역 365
 
4.7%
1 347
 
4.5%
지 316
 
4.1%
번 306
 
3.9%
Other values (139) 2714
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4751
61.0%
Space Separator 1515
 
19.5%
Decimal Number 1479
 
19.0%
Dash Punctuation 33
 
0.4%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%
Decimal Number
ValueCountFrequency (%)
1 347
23.5%
2 188
12.7%
3 166
11.2%
4 137
 
9.3%
0 129
 
8.7%
5 115
 
7.8%
6 110
 
7.4%
8 106
 
7.2%
7 99
 
6.7%
9 82
 
5.5%
Space Separator
ValueCountFrequency (%)
1515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4751
61.0%
Common 3034
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%
Common
ValueCountFrequency (%)
1515
49.9%
1 347
 
11.4%
2 188
 
6.2%
3 166
 
5.5%
4 137
 
4.5%
0 129
 
4.3%
5 115
 
3.8%
6 110
 
3.6%
8 106
 
3.5%
7 99
 
3.3%
Other values (5) 122
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4751
61.0%
ASCII 3034
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1515
49.9%
1 347
 
11.4%
2 188
 
6.2%
3 166
 
5.5%
4 137
 
4.5%
0 129
 
4.3%
5 115
 
3.8%
6 110
 
3.6%
8 106
 
3.5%
7 99
 
3.3%
Other values (5) 122
 
4.0%
Hangul
ValueCountFrequency (%)
구 709
14.9%
대 398
 
8.4%
동 384
 
8.1%
시 366
 
7.7%
광 365
 
7.7%
역 365
 
7.7%
지 316
 
6.7%
번 306
 
6.4%
호 200
 
4.2%
서 125
 
2.6%
Other values (124) 1217
25.6%

시설구분명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
민간시설
218 
정부지원시설
75 
공공시설
42 
자치단체자체시설
31 

Length

Max length8
Median length4
Mean length4.7486339
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치단체자체시설
2nd row정부지원시설
3rd row정부지원시설
4th row자치단체자체시설
5th row민간시설

Common Values

ValueCountFrequency (%)
민간시설 218
59.6%
정부지원시설 75
 
20.5%
공공시설 42
 
11.5%
자치단체자체시설 31
 
8.5%

Length

2023-12-11T03:46:22.726009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:46:22.827156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 218
59.6%
정부지원시설 75
 
20.5%
공공시설 42
 
11.5%
자치단체자체시설 31
 
8.5%

시설명_건물명
Text

Distinct354
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T03:46:23.044827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.0054645
Min length2

Characters and Unicode

Total characters2930
Distinct characters328
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)94.0%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.5%
민방위 27
 
5.6%
목욕탕 5
 
1.0%
우영펠리스 3
 
0.6%
정부지원 3
 
0.6%
보건대 3
 
0.6%
지묘동 3
 
0.6%
황금초등학교 3
 
0.6%
사우나 3
 
0.6%
영송생활관 3
 
0.6%
Other values (376) 394
81.6%
2023-12-11T03:46:23.390295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
4.0%
수 66
 
2.3%
시 62
 
2.1%
원 62
 
2.1%
대 62
 
2.1%
공 60
 
2.0%
동 53
 
1.8%
( 52
 
1.8%
) 52
 
1.8%
설 49
 
1.7%
Other values (318) 2295
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2629
89.7%
Space Separator 117
 
4.0%
Decimal Number 62
 
2.1%
Open Punctuation 52
 
1.8%
Close Punctuation 52
 
1.8%
Uppercase Letter 10
 
0.3%
Dash Punctuation 4
 
0.1%
Connector Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%
Decimal Number
ValueCountFrequency (%)
2 25
40.3%
1 22
35.5%
3 5
 
8.1%
5 4
 
6.5%
0 3
 
4.8%
7 1
 
1.6%
8 1
 
1.6%
4 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
A 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2629
89.7%
Common 291
 
9.9%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%
Common
ValueCountFrequency (%)
117
40.2%
( 52
17.9%
) 52
17.9%
2 25
 
8.6%
1 22
 
7.6%
3 5
 
1.7%
- 4
 
1.4%
_ 4
 
1.4%
5 4
 
1.4%
0 3
 
1.0%
Other values (3) 3
 
1.0%
Latin
ValueCountFrequency (%)
K 3
30.0%
A 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2629
89.7%
ASCII 301
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
38.9%
( 52
17.3%
) 52
17.3%
2 25
 
8.3%
1 22
 
7.3%
3 5
 
1.7%
- 4
 
1.3%
_ 4
 
1.3%
5 4
 
1.3%
K 3
 
1.0%
Other values (11) 13
 
4.3%
Hangul
ValueCountFrequency (%)
수 66
 
2.5%
시 62
 
2.4%
원 62
 
2.4%
대 62
 
2.4%
공 60
 
2.3%
동 53
 
2.0%
설 49
 
1.9%
비 48
 
1.8%
지 48
 
1.8%
상 47
 
1.8%
Other values (297) 2072
78.8%

해제일자
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)61.1%
Missing204
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean20109452
Minimum20040714
Maximum20211220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T03:46:23.523082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040714
5-th percentile20050628
Q120070206
median20091018
Q320150650
95-th percentile20209857
Maximum20211220
Range170506
Interquartile range (IQR)80443.5

Descriptive statistics

Standard deviation48680.911
Coefficient of variation (CV)0.0024207975
Kurtosis-0.74859116
Mean20109452
Median Absolute Deviation (MAD)29949
Skewness0.63835303
Sum3.2577312 × 109
Variance2.3698311 × 109
MonotonicityNot monotonic
2023-12-11T03:46:23.642920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628 15
 
4.1%
20090806 6
 
1.6%
20070206 6
 
1.6%
20070122 6
 
1.6%
20090226 6
 
1.6%
20120619 5
 
1.4%
20120210 4
 
1.1%
20081219 4
 
1.1%
20070906 4
 
1.1%
20091021 3
 
0.8%
Other values (89) 103
28.1%
(Missing) 204
55.7%
ValueCountFrequency (%)
20040714 1
 
0.3%
20050609 1
 
0.3%
20050628 15
4.1%
20050711 1
 
0.3%
20050929 1
 
0.3%
20051118 1
 
0.3%
20060102 1
 
0.3%
20060522 1
 
0.3%
20060630 1
 
0.3%
20060727 1
 
0.3%
ValueCountFrequency (%)
20211220 1
0.3%
20211208 1
0.3%
20211026 1
0.3%
20211001 1
0.3%
20210928 1
0.3%
20210914 1
0.3%
20210618 1
0.3%
20210517 1
0.3%
20210312 1
0.3%
20201215 1
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
01민방위급수시설11_46_01_P34100003410000-E19950000119950801<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>640<NA>대구광역시 중구 대봉동 31번지 32호대구광역시 중구 동덕로8길 34-6 (대봉동)700809대봉동방천숲20200628145937U2020-06-30 02:40:00.0<NA>344969.239799263361.054981대구광역시 중구 대봉동 31번지 32호자치단체자체시설대봉동방천숲<NA>
12민방위급수시설11_46_01_P34100003410000-E19820000119820609202012154취소/말소/만료/정지/중지19사용중지20201215<NA><NA><NA><NA>314<NA>대구광역시 중구 동인동3가 228번지대구광역시 중구 국채보상로149길 50 (동인동3가, 동인시영아파트)41907동인아파트20201216173545U2020-12-18 02:40:00.0<NA>345488.168729264579.818554대구광역시 중구 동인동3가 228번지정부지원시설동인아파트20201215
23민방위급수시설11_46_01_P34100003410000-E19780000219781228<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>653<NA>대구광역시 중구 남산동 2967번지 4 호대구광역시 중구 달구벌대로 1926 (남산동, 대구중부소방서)41973중부소방서20170411151258I2018-08-31 23:59:59.0<NA>342214.195185263603.190665대구광역시 중구 남산동 2967번지 4 호정부지원시설중부소방서<NA>
34민방위급수시설11_46_01_P34100003410000-E19950000219950801<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>542<NA>대구광역시 중구 남산동 2508번지 1호대구광역시 중구 남산로1길 42 (남산동, 남산4동주민센터)41977남산어린이공원20191126154018U2019-11-28 02:40:00.0<NA>342698.131934263152.077031대구광역시 중구 남산동 2508번지 1호자치단체자체시설남산어린이공원<NA>
45민방위급수시설11_46_01_P34100003410000-E19990000119830801<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200<NA>대구광역시 중구 문화동 12번지 8호대구광역시 중구 동성로12길 16-1 (문화동, 궁전목욕탕)41913궁전사우나20210526122451U2021-05-28 02:40:00.0<NA>344109.279847264620.133447대구광역시 중구 문화동 12번지 8호민간시설궁전사우나<NA>
56민방위급수시설11_46_01_P34100003410000-E19760000119831001<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>350<NA>대구광역시 중구 태평로2가 1번지 1호대구광역시 중구 태평로 141 (태평로2가, 대구콘서트하우스)41902대구콘서트하우스20210621101516U2021-06-23 02:40:00.0<NA>343869.929463265121.903335대구광역시 중구 태평로2가 1번지 1호자치단체자체시설대구콘서트하우스<NA>
67민방위급수시설11_46_01_P34100003410000-E19970000119971205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>390<NA>대구광역시 중구 봉산동 230번지 1호대구광역시 중구 명륜로23길 16 (봉산동, 대구제일중학교)41958제일중학교20210526122420U2021-05-28 02:40:00.0<NA>344177.021289263503.822652대구광역시 중구 봉산동 230번지 1호정부지원시설제일중학교<NA>
78민방위급수시설11_46_01_P34100003410000-E19920000419920601<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>374<NA>대구광역시 중구 동인동1가 116번지대구광역시 중구 태평로 225 (동인동1가, 78태평아파트)4190378태평아파트20201222194903U2020-12-24 02:40:00.0<NA>344618.224393264938.197473대구광역시 중구 동인동1가 116번지정부지원시설78태평아파트<NA>
89민방위급수시설11_46_01_P34100003410000-E19920000119801220<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>906<NA>대구광역시 중구 동인동2가 42번지대구광역시 중구 국채보상로 670 (동인동2가, 국채보상운동기념공원)41939국채보상운동기념공원20201222194819U2020-12-24 02:40:00.0<NA>344548.410646264350.066199대구광역시 중구 동인동2가 42번지정부지원시설국채보상운동기념공원<NA>
910민방위급수시설11_46_01_P34100003410000-E19840000119821015<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>500<NA>대구광역시 중구 포정동 21번지대구광역시 중구 경상감영길 99 (포정동, 감영공원)41918경상감영공원20180105112500I2018-08-31 23:59:59.0<NA>343720.272511264729.778092대구광역시 중구 포정동 21번지정부지원시설경상감영공원<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
356357민방위급수시설11_46_01_P34800003480000-E20210000220210511<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>60<NA>대구광역시 달성군 유가읍 용리 산 1-2 대견사대구광역시 달성군 유가읍 일연선사길 177, 대견사42991천천수20211125165439I2021-11-27 00:22:44.0<NA><NA><NA>대구광역시 달성군 유가읍 용리 산 1-2 대견사공공시설천천수<NA>
357358민방위급수시설11_46_01_P34800003480000-E20210000320210511<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>대구광역시 달성군 유가읍 용리 31-2대구광역시 달성군 유가읍 일연선사길 1042991아젤리아호텔20211125165537I2021-11-27 00:22:44.0<NA><NA><NA>대구광역시 달성군 유가읍 용리 31-2공공시설아젤리아호텔<NA>
358359민방위급수시설11_46_01_P34800003480000-E20210000420210511<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>대구광역시 달성군 현풍읍 성하리 225-2대구광역시 달성군 현풍읍 비슬로 73842988달성종합스포츠파크20211125165651I2021-11-27 00:22:44.0<NA>330178.0597245786.069845대구광역시 달성군 현풍읍 성하리 225-2공공시설달성종합스포츠파크<NA>
359360민방위급수시설11_46_01_P34800003480000-E19840000119840201201006104취소/말소/만료/정지/중지19사용중지20100610<NA><NA><NA><NA>250<NA>대구광역시 달성군 화원읍 설화리 553번지 13 호<NA><NA>공공시설(화원고등학교)20100811102508I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 달성군 화원읍 설화리 553번지 13 호공공시설공공시설(화원고등학교)20100610
360361민방위급수시설11_46_01_P34800003480000-E19970000219970102201006104취소/말소/만료/정지/중지19사용중지20100610<NA><NA><NA><NA>400<NA>대구광역시 달성군 화원읍 구라리 1734<NA><NA>민간시설(화원 도화목욕탕)20100811102622I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 달성군 화원읍 구라리 1734민간시설민간시설(화원 도화목욕탕)20100610
361362민방위급수시설11_46_01_P34800003480000-E19940000219940107201212284취소/말소/만료/정지/중지19사용중지20121228<NA><NA><NA><NA>450<NA>대구광역시 달성군 가창면 냉천리 477번지 1호<NA><NA>민간시설(대림생수B)20130528150159I2018-08-31 23:59:59.0<NA><NA><NA>대구광역시 달성군 가창면 냉천리 477번지 1호민간시설민간시설(대림생수B)20121228
362363민방위급수시설11_46_01_P34800003480000-E20110000320111116202003244취소/말소/만료/정지/중지19사용중지20200324<NA><NA><NA><NA>200<NA>대구광역시 달성군 다사읍 119번지 4호대구광역시 달성군 다사읍 달구벌대로 86042918장수 목욕탕20200820102120U2020-08-22 02:40:00.0<NA>332145.196359263083.111357대구광역시 달성군 다사읍 119번지 4호민간시설장수 목욕탕20200324
363364민방위급수시설11_46_01_P34800003480000-E20120000120120703201712054취소/말소/만료/정지/중지19사용중지20171205<NA><NA><NA><NA>300<NA>대구광역시 달성군 논공읍 803번지 37호대구광역시 달성군 논공읍 논공로17길 17 (해오름)42979해오름20171205193249I2018-08-31 23:59:59.0<NA>330350.817259248755.772259대구광역시 달성군 논공읍 803번지 37호민간시설해오름20171205
364365민방위급수시설11_46_01_P34800003480000-E20140000220140205201712064취소/말소/만료/정지/중지19사용중지20171206<NA><NA><NA><NA>360<NA>대구광역시 달성군 다사읍 1549번지 2호대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)사계절 스포츠120180102173645I2018-08-31 23:59:59.0<NA>332490.28118263220.389909대구광역시 달성군 다사읍 1549번지 2호민간시설(주)사계절 스포츠120171206
365366민방위급수시설11_46_01_P34800003480000-E20190000620190523<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>95<NA>대구광역시 달성군 구지면 840번지 5호대구광역시 달성군 구지면 달성2차동1로 9943013국가산단웰빙온천(2)20190715103233U2019-07-17 02:40:00.0<NA>328293.62359238769.812522대구광역시 달성군 구지면 840번지 5호민간시설국가산단웰빙온천(2)<NA>