Overview

Dataset statistics

Number of variables32
Number of observations371
Missing cells3351
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.0 KiB
Average record size in memory270.4 B

Variable types

Numeric6
Categorical8
Text7
DateTime5
Unsupported6

Dataset

Description23년01월_6270000_대구광역시_11_46_01_P_민방위급수시설
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097552&dataSetDetailId=DDI_0000097562&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 202 (54.4%) missing valuesMissing
폐업일자 has 202 (54.4%) missing valuesMissing
휴업시작일자 has 371 (100.0%) missing valuesMissing
휴업종료일자 has 371 (100.0%) missing valuesMissing
재개업일자 has 371 (100.0%) missing valuesMissing
소재지전화 has 371 (100.0%) missing valuesMissing
소재지우편번호 has 371 (100.0%) missing valuesMissing
도로명전체주소 has 110 (29.6%) missing valuesMissing
도로명우편번호 has 131 (35.3%) missing valuesMissing
업태구분명 has 371 (100.0%) missing valuesMissing
좌표정보(X) has 138 (37.2%) missing valuesMissing
좌표정보(Y) has 138 (37.2%) missing valuesMissing
해제일자 has 202 (54.4%) 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 20:56:07.500487
Analysis finished2023-12-10 20:56:08.789161
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186
Minimum1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:08.892470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.5
Q193.5
median186
Q3278.5
95-th percentile352.5
Maximum371
Range370
Interquartile range (IQR)185

Descriptive statistics

Standard deviation107.24272
Coefficient of variation (CV)0.57657374
Kurtosis-1.2
Mean186
Median Absolute Deviation (MAD)93
Skewness0
Sum69006
Variance11501
MonotonicityStrictly increasing
2023-12-11T05:56:09.132063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
246 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
Other values (361) 361
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 (%)
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
민방위급수시설
371 

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 371
100.0%

Length

2023-12-11T05:56:09.356398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:09.502917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위급수시설 371
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
11_46_01_P
371 

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 371
100.0%

Length

2023-12-11T05:56:09.658379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:09.815556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_01_p 371
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450107.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:09.994498image/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 deviation20440.797
Coefficient of variation (CV)0.0059246835
Kurtosis-1.0127435
Mean3450107.8
Median Absolute Deviation (MAD)20000
Skewness-0.32962031
Sum1.27999 × 109
Variance4.1782618 × 108
MonotonicityIncreasing
2023-12-11T05:56:10.225609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 85
22.9%
3450000 79
21.3%
3420000 44
11.9%
3460000 42
11.3%
3430000 40
10.8%
3480000 34
 
9.2%
3440000 30
 
8.1%
3410000 17
 
4.6%
ValueCountFrequency (%)
3410000 17
 
4.6%
3420000 44
11.9%
3430000 40
10.8%
3440000 30
 
8.1%
3450000 79
21.3%
3460000 42
11.3%
3470000 85
22.9%
3480000 34
 
9.2%
ValueCountFrequency (%)
3480000 34
 
9.2%
3470000 85
22.9%
3460000 42
11.3%
3450000 79
21.3%
3440000 30
 
8.1%
3430000 40
10.8%
3420000 44
11.9%
3410000 17
 
4.6%

관리번호
Text

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T05:56:10.554416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters6678
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

Unique371 ?
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-e198300002 1
 
0.3%
3470000-e199100001 1
 
0.3%
3470000-e200300004 1
 
0.3%
3460000-e199300001 1
 
0.3%
3460000-e198400003 1
 
0.3%
3460000-e199200002 1
 
0.3%
3460000-e198900003 1
 
0.3%
3460000-e199000001 1
 
0.3%
3460000-e198400002 1
 
0.3%
Other values (361) 361
97.3%
2023-12-11T05:56:11.133242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3315
49.6%
3 514
 
7.7%
4 474
 
7.1%
1 415
 
6.2%
2 385
 
5.8%
- 371
 
5.6%
E 371
 
5.6%
9 345
 
5.2%
7 144
 
2.2%
8 128
 
1.9%
Other values (3) 216
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5930
88.8%
Dash Punctuation 371
 
5.6%
Uppercase Letter 371
 
5.6%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3315
55.9%
3 514
 
8.7%
4 474
 
8.0%
1 415
 
7.0%
2 385
 
6.5%
9 345
 
5.8%
7 144
 
2.4%
8 128
 
2.2%
5 124
 
2.1%
6 86
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 371
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6307
94.4%
Latin 371
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3315
52.6%
3 514
 
8.1%
4 474
 
7.5%
1 415
 
6.6%
2 385
 
6.1%
- 371
 
5.9%
9 345
 
5.5%
7 144
 
2.3%
8 128
 
2.0%
5 124
 
2.0%
Other values (2) 92
 
1.5%
Latin
ValueCountFrequency (%)
E 371
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3315
49.6%
3 514
 
7.7%
4 474
 
7.1%
1 415
 
6.2%
2 385
 
5.8%
- 371
 
5.6%
E 371
 
5.6%
9 345
 
5.2%
7 144
 
2.2%
8 128
 
1.9%
Other values (3) 216
 
3.2%

인허가일자
Date

Distinct192
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1970-04-30 00:00:00
Maximum2022-06-28 00:00:00
2023-12-11T05:56:11.402235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:11.675683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct105
Distinct (%)62.1%
Missing202
Missing (%)54.4%
Memory size3.0 KiB
Minimum2004-07-14 00:00:00
Maximum2023-01-19 00:00:00
2023-12-11T05:56:11.931538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:12.170636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
202 
4
169 

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 (%)
1 202
54.4%
4 169
45.6%

Length

2023-12-11T05:56:12.422525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:12.659473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 202
54.4%
4 169
45.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영업/정상
202 
취소/말소/만료/정지/중지
169 

Length

Max length14
Median length5
Mean length9.0997305
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 202
54.4%
취소/말소/만료/정지/중지 169
45.6%

Length

2023-12-11T05:56:12.839837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:13.014719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 202
54.4%
취소/말소/만료/정지/중지 169
45.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
18
202 
19
169 

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 (%)
18 202
54.4%
19 169
45.6%

Length

2023-12-11T05:56:13.189820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:13.363184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 202
54.4%
19 169
45.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
사용중
202 
사용중지
169 

Length

Max length4
Median length3
Mean length3.4555256
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 202
54.4%
사용중지 169
45.6%

Length

2023-12-11T05:56:13.544805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:13.736957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 202
54.4%
사용중지 169
45.6%

폐업일자
Date

MISSING 

Distinct105
Distinct (%)62.1%
Missing202
Missing (%)54.4%
Memory size3.0 KiB
Minimum2004-07-14 00:00:00
Maximum2023-01-19 00:00:00
2023-12-11T05:56:13.926690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:14.162276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

소재지면적
Real number (ℝ)

Distinct131
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.72075
Minimum0
Maximum10118
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:14.421369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75
Q1150
median260
Q3400
95-th percentile700
Maximum10118
Range10118
Interquartile range (IQR)250

Descriptive statistics

Standard deviation561.74476
Coefficient of variation (CV)1.6633409
Kurtosis249.77523
Mean337.72075
Median Absolute Deviation (MAD)110
Skewness14.503322
Sum125294.4
Variance315557.17
MonotonicityNot monotonic
2023-12-11T05:56:14.706934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.0 31
 
8.4%
300.0 22
 
5.9%
250.0 20
 
5.4%
500.0 15
 
4.0%
150.0 14
 
3.8%
100.0 14
 
3.8%
90.0 13
 
3.5%
400.0 12
 
3.2%
288.0 10
 
2.7%
350.0 9
 
2.4%
Other values (121) 211
56.9%
ValueCountFrequency (%)
0.0 2
0.5%
20.0 1
 
0.3%
40.0 1
 
0.3%
45.0 1
 
0.3%
50.0 4
1.1%
55.0 1
 
0.3%
60.0 1
 
0.3%
63.0 2
0.5%
65.0 1
 
0.3%
70.0 3
0.8%
ValueCountFrequency (%)
10118.0 1
0.3%
2000.0 1
0.3%
1500.0 1
0.3%
1440.0 1
0.3%
1350.0 1
0.3%
1200.0 1
0.3%
1138.0 1
0.3%
1000.0 2
0.5%
906.0 1
0.3%
900.0 2
0.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

소재지전체주소
Text

Distinct348
Distinct (%)94.1%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T05:56:15.500440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.481081
Min length15

Characters and Unicode

Total characters7948
Distinct characters151
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

Unique328 ?
Unique (%)88.6%

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 370
 
21.2%
달서구 84
 
4.8%
북구 79
 
4.5%
1호 49
 
2.8%
동구 44
 
2.5%
수성구 42
 
2.4%
서구 40
 
2.3%
달성군 34
 
1.9%
남구 30
 
1.7%
2호 28
 
1.6%
Other values (502) 948
54.2%
2023-12-11T05:56:16.141872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1539
19.4%
구 724
 
9.1%
대 410
 
5.2%
동 389
 
4.9%
역 375
 
4.7%
시 371
 
4.7%
광 370
 
4.7%
1 350
 
4.4%
지 321
 
4.0%
번 305
 
3.8%
Other values (141) 2794
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4857
61.1%
Space Separator 1539
 
19.4%
Decimal Number 1506
 
18.9%
Dash Punctuation 39
 
0.5%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%
Decimal Number
ValueCountFrequency (%)
1 350
23.2%
2 195
12.9%
3 169
11.2%
4 140
 
9.3%
0 133
 
8.8%
5 119
 
7.9%
6 111
 
7.4%
8 106
 
7.0%
7 99
 
6.6%
9 84
 
5.6%
Space Separator
ValueCountFrequency (%)
1539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
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 4857
61.1%
Common 3091
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%
Common
ValueCountFrequency (%)
1539
49.8%
1 350
 
11.3%
2 195
 
6.3%
3 169
 
5.5%
4 140
 
4.5%
0 133
 
4.3%
5 119
 
3.8%
6 111
 
3.6%
8 106
 
3.4%
7 99
 
3.2%
Other values (5) 130
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4857
61.1%
ASCII 3091
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1539
49.8%
1 350
 
11.3%
2 195
 
6.3%
3 169
 
5.5%
4 140
 
4.5%
0 133
 
4.3%
5 119
 
3.8%
6 111
 
3.6%
8 106
 
3.4%
7 99
 
3.2%
Other values (5) 130
 
4.2%
Hangul
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%

도로명전체주소
Text

MISSING 

Distinct240
Distinct (%)92.0%
Missing110
Missing (%)29.6%
Memory size3.0 KiB
2023-12-11T05:56:16.860169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length27.482759
Min length20

Characters and Unicode

Total characters7173
Distinct characters261
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

Unique222 ?
Unique (%)85.1%

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 261
 
18.4%
달서구 66
 
4.6%
북구 50
 
3.5%
수성구 35
 
2.5%
달성군 30
 
2.1%
동구 27
 
1.9%
서구 22
 
1.5%
중구 16
 
1.1%
달구벌대로 15
 
1.1%
남구 15
 
1.1%
Other values (555) 883
62.2%
2023-12-11T05:56:17.690625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1165
 
16.2%
구 545
 
7.6%
대 358
 
5.0%
동 307
 
4.3%
역 271
 
3.8%
시 269
 
3.8%
광 263
 
3.7%
로 249
 
3.5%
) 235
 
3.3%
( 235
 
3.3%
Other values (251) 3276
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4535
63.2%
Space Separator 1165
 
16.2%
Decimal Number 866
 
12.1%
Close Punctuation 235
 
3.3%
Open Punctuation 235
 
3.3%
Other Punctuation 109
 
1.5%
Dash Punctuation 28
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 545
 
12.0%
대 358
 
7.9%
동 307
 
6.8%
역 271
 
6.0%
시 269
 
5.9%
광 263
 
5.8%
로 249
 
5.5%
서 124
 
2.7%
달 122
 
2.7%
성 122
 
2.7%
Other values (236) 1905
42.0%
Decimal Number
ValueCountFrequency (%)
1 182
21.0%
2 139
16.1%
3 88
10.2%
5 85
9.8%
4 76
8.8%
0 76
8.8%
6 68
 
7.9%
7 58
 
6.7%
9 52
 
6.0%
8 42
 
4.8%
Space Separator
ValueCountFrequency (%)
1165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Other Punctuation
ValueCountFrequency (%)
, 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4535
63.2%
Common 2638
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 545
 
12.0%
대 358
 
7.9%
동 307
 
6.8%
역 271
 
6.0%
시 269
 
5.9%
광 263
 
5.8%
로 249
 
5.5%
서 124
 
2.7%
달 122
 
2.7%
성 122
 
2.7%
Other values (236) 1905
42.0%
Common
ValueCountFrequency (%)
1165
44.2%
) 235
 
8.9%
( 235
 
8.9%
1 182
 
6.9%
2 139
 
5.3%
, 109
 
4.1%
3 88
 
3.3%
5 85
 
3.2%
4 76
 
2.9%
0 76
 
2.9%
Other values (5) 248
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4535
63.2%
ASCII 2638
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1165
44.2%
) 235
 
8.9%
( 235
 
8.9%
1 182
 
6.9%
2 139
 
5.3%
, 109
 
4.1%
3 88
 
3.3%
5 85
 
3.2%
4 76
 
2.9%
0 76
 
2.9%
Other values (5) 248
 
9.4%
Hangul
ValueCountFrequency (%)
구 545
 
12.0%
대 358
 
7.9%
동 307
 
6.8%
역 271
 
6.0%
시 269
 
5.9%
광 263
 
5.8%
로 249
 
5.5%
서 124
 
2.7%
달 122
 
2.7%
성 122
 
2.7%
Other values (236) 1905
42.0%

도로명우편번호
Text

MISSING 

Distinct196
Distinct (%)81.7%
Missing131
Missing (%)35.3%
Memory size3.0 KiB
2023-12-11T05:56:18.239284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1916667
Min length5

Characters and Unicode

Total characters1246
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)65.4%

Sample

1st row700-809
2nd row41907
3rd row41973
4th row41977
5th row41913
ValueCountFrequency (%)
42913 4
 
1.7%
41451 3
 
1.2%
41463 3
 
1.2%
42610 3
 
1.2%
42630 2
 
0.8%
41524 2
 
0.8%
41436 2
 
0.8%
42804 2
 
0.8%
42605 2
 
0.8%
41231 2
 
0.8%
Other values (186) 215
89.6%
2023-12-11T05:56:19.048252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 293
23.5%
2 199
16.0%
1 178
14.3%
0 103
 
8.3%
6 90
 
7.2%
7 86
 
6.9%
9 80
 
6.4%
3 66
 
5.3%
8 65
 
5.2%
5 63
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1223
98.2%
Dash Punctuation 23
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 293
24.0%
2 199
16.3%
1 178
14.6%
0 103
 
8.4%
6 90
 
7.4%
7 86
 
7.0%
9 80
 
6.5%
3 66
 
5.4%
8 65
 
5.3%
5 63
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 293
23.5%
2 199
16.0%
1 178
14.3%
0 103
 
8.3%
6 90
 
7.2%
7 86
 
6.9%
9 80
 
6.4%
3 66
 
5.3%
8 65
 
5.2%
5 63
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 293
23.5%
2 199
16.0%
1 178
14.3%
0 103
 
8.3%
6 90
 
7.2%
7 86
 
6.9%
9 80
 
6.4%
3 66
 
5.3%
8 65
 
5.2%
5 63
 
5.1%

사업장명
Text

Distinct358
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T05:56:19.451269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.9460916
Min length2

Characters and Unicode

Total characters2948
Distinct characters327
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

Unique347 ?
Unique (%)93.5%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.4%
민방위 27
 
5.5%
목욕탕 4
 
0.8%
사우나 3
 
0.6%
지묘동 3
 
0.6%
영송생활관 3
 
0.6%
보건대 3
 
0.6%
우영펠리스 3
 
0.6%
황금초등학교 3
 
0.6%
정부지원 3
 
0.6%
Other values (380) 399
81.9%
2023-12-11T05:56:20.084083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
3.9%
수 66
 
2.2%
대 63
 
2.1%
원 63
 
2.1%
시 62
 
2.1%
공 59
 
2.0%
동 53
 
1.8%
) 52
 
1.8%
( 52
 
1.8%
지 50
 
1.7%
Other values (317) 2312
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2648
89.8%
Space Separator 116
 
3.9%
Decimal Number 62
 
2.1%
Close Punctuation 52
 
1.8%
Open Punctuation 52
 
1.8%
Uppercase Letter 10
 
0.3%
Connector Punctuation 4
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 66
 
2.5%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%
Decimal Number
ValueCountFrequency (%)
2 25
40.3%
1 22
35.5%
3 5
 
8.1%
5 4
 
6.5%
0 3
 
4.8%
4 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
L 1
 
10.0%
A 1
 
10.0%
E 1
 
10.0%
X 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2648
89.8%
Common 290
 
9.8%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 66
 
2.5%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%
Common
ValueCountFrequency (%)
116
40.0%
) 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%
L 1
 
10.0%
A 1
 
10.0%
E 1
 
10.0%
X 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2648
89.8%
ASCII 300
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
38.7%
) 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%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%

최종수정시점
Date

Distinct340
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2003-12-09 00:00:00
Maximum2023-01-26 13:46:45
2023-12-11T05:56:20.330306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:20.576837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
U
188 
I
183 

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 188
50.7%
I 183
49.3%

Length

2023-12-11T05:56:20.811629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:20.983103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 188
50.7%
i 183
49.3%

데이터갱신일자
Date

Distinct70
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-28 02:40:00
2023-12-11T05:56:21.179389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:56:21.462379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)93.6%
Missing138
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean342172.95
Minimum329329.41
Maximum356191.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:21.759866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329329.41
5-th percentile334335.59
Q1338893.78
median341671.26
Q3345521.87
95-th percentile350999.42
Maximum356191.66
Range26862.246
Interquartile range (IQR)6628.0923

Descriptive statistics

Standard deviation5148.8224
Coefficient of variation (CV)0.015047427
Kurtosis0.043843187
Mean342172.95
Median Absolute Deviation (MAD)3586.1992
Skewness0.15254504
Sum79726298
Variance26510372
MonotonicityNot monotonic
2023-12-11T05:56:22.032572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339624.55505302 3
 
0.8%
351157.395283624 2
 
0.5%
340498.708051754 2
 
0.5%
341036.27707168 2
 
0.5%
344240.414300598 2
 
0.5%
340513.19646324 2
 
0.5%
340987.352530311 2
 
0.5%
334461.497981241 2
 
0.5%
341510.862642223 2
 
0.5%
341962.366662561 2
 
0.5%
Other values (208) 212
57.1%
(Missing) 138
37.2%
ValueCountFrequency (%)
329329.40921916 1
0.3%
330289.216222257 1
0.3%
330338.711440998 1
0.3%
330680.336773251 1
0.3%
331001.179757647 1
0.3%
331299.704437959 1
0.3%
331552.548437682 1
0.3%
332145.196359058 1
0.3%
332450.350917953 2
0.5%
333036.231663377 1
0.3%
ValueCountFrequency (%)
356191.655582634 1
0.3%
355694.750941099 1
0.3%
354384.426572907 1
0.3%
354090.430581147 1
0.3%
353770.913942692 1
0.3%
353740.640174252 1
0.3%
353314.716201418 1
0.3%
353290.431653715 1
0.3%
353156.530463996 1
0.3%
352985.74023743 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)93.6%
Missing138
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean263703.9
Minimum244585.45
Maximum274814.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:22.273117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244585.45
5-th percentile257255.5
Q1261760.8
median263332.03
Q3265903.82
95-th percentile271975.57
Maximum274814.8
Range30229.356
Interquartile range (IQR)4143.0241

Descriptive statistics

Standard deviation4840.5102
Coefficient of variation (CV)0.018355853
Kurtosis3.0126099
Mean263703.9
Median Absolute Deviation (MAD)2066.0584
Skewness-0.79089825
Sum61443010
Variance23430539
MonotonicityNot monotonic
2023-12-11T05:56:22.674045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271354.946570948 3
 
0.8%
265398.09285941 2
 
0.5%
271233.390731701 2
 
0.5%
272406.426940163 2
 
0.5%
270166.254491593 2
 
0.5%
272960.803625499 2
 
0.5%
272636.919043005 2
 
0.5%
262699.052324095 2
 
0.5%
265077.849795091 2
 
0.5%
266106.693081545 2
 
0.5%
Other values (208) 212
57.1%
(Missing) 138
37.2%
ValueCountFrequency (%)
244585.447132174 1
0.3%
245020.867134474 1
0.3%
245823.475639067 1
0.3%
248523.534087819 1
0.3%
248675.595432606 1
0.3%
248752.382919953 1
0.3%
248777.881463271 1
0.3%
253705.110910808 1
0.3%
256310.338158979 1
0.3%
256605.694917405 1
0.3%
ValueCountFrequency (%)
274814.803070723 1
0.3%
274152.151713332 1
0.3%
274132.642969224 1
0.3%
272960.803625499 2
0.5%
272746.870177029 1
0.3%
272636.919043005 2
0.5%
272453.986313419 1
0.3%
272406.426940163 2
0.5%
272006.622232315 1
0.3%
271954.87228092 1
0.3%

비상시설위치
Text

Distinct348
Distinct (%)94.1%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T05:56:23.107573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.481081
Min length15

Characters and Unicode

Total characters7948
Distinct characters151
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

Unique328 ?
Unique (%)88.6%

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 370
 
21.2%
달서구 84
 
4.8%
북구 79
 
4.5%
1호 49
 
2.8%
동구 44
 
2.5%
수성구 42
 
2.4%
서구 40
 
2.3%
달성군 34
 
1.9%
남구 30
 
1.7%
2호 28
 
1.6%
Other values (502) 948
54.2%
2023-12-11T05:56:23.805865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1539
19.4%
구 724
 
9.1%
대 410
 
5.2%
동 389
 
4.9%
역 375
 
4.7%
시 371
 
4.7%
광 370
 
4.7%
1 350
 
4.4%
지 321
 
4.0%
번 305
 
3.8%
Other values (141) 2794
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4857
61.1%
Space Separator 1539
 
19.4%
Decimal Number 1506
 
18.9%
Dash Punctuation 39
 
0.5%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%
Decimal Number
ValueCountFrequency (%)
1 350
23.2%
2 195
12.9%
3 169
11.2%
4 140
 
9.3%
0 133
 
8.8%
5 119
 
7.9%
6 111
 
7.4%
8 106
 
7.0%
7 99
 
6.6%
9 84
 
5.6%
Space Separator
ValueCountFrequency (%)
1539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
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 4857
61.1%
Common 3091
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%
Common
ValueCountFrequency (%)
1539
49.8%
1 350
 
11.3%
2 195
 
6.3%
3 169
 
5.5%
4 140
 
4.5%
0 133
 
4.3%
5 119
 
3.8%
6 111
 
3.6%
8 106
 
3.4%
7 99
 
3.2%
Other values (5) 130
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4857
61.1%
ASCII 3091
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1539
49.8%
1 350
 
11.3%
2 195
 
6.3%
3 169
 
5.5%
4 140
 
4.5%
0 133
 
4.3%
5 119
 
3.8%
6 111
 
3.6%
8 106
 
3.4%
7 99
 
3.2%
Other values (5) 130
 
4.2%
Hangul
ValueCountFrequency (%)
구 724
14.9%
대 410
 
8.4%
동 389
 
8.0%
역 375
 
7.7%
시 371
 
7.6%
광 370
 
7.6%
지 321
 
6.6%
번 305
 
6.3%
호 204
 
4.2%
서 130
 
2.7%
Other values (126) 1258
25.9%

시설구분명
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
민간시설
201 
정부지원시설
74 
공공시설
34 
공공용시설
31 
자치단체자체시설
27 

Length

Max length8
Median length4
Mean length4.7843666
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 201
54.2%
정부지원시설 74
 
19.9%
공공시설 34
 
9.2%
공공용시설 31
 
8.4%
자치단체자체시설 27
 
7.3%
지자체시설 4
 
1.1%

Length

2023-12-11T05:56:24.098130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:56:24.338078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 201
54.2%
정부지원시설 74
 
19.9%
공공시설 34
 
9.2%
공공용시설 31
 
8.4%
자치단체자체시설 27
 
7.3%
지자체시설 4
 
1.1%

시설명_건물명
Text

Distinct358
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T05:56:24.726615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.9460916
Min length2

Characters and Unicode

Total characters2948
Distinct characters327
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

Unique347 ?
Unique (%)93.5%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.4%
민방위 27
 
5.5%
목욕탕 4
 
0.8%
사우나 3
 
0.6%
지묘동 3
 
0.6%
영송생활관 3
 
0.6%
보건대 3
 
0.6%
우영펠리스 3
 
0.6%
황금초등학교 3
 
0.6%
정부지원 3
 
0.6%
Other values (380) 399
81.9%
2023-12-11T05:56:25.408198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
3.9%
수 66
 
2.2%
대 63
 
2.1%
원 63
 
2.1%
시 62
 
2.1%
공 59
 
2.0%
동 53
 
1.8%
) 52
 
1.8%
( 52
 
1.8%
지 50
 
1.7%
Other values (317) 2312
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2648
89.8%
Space Separator 116
 
3.9%
Decimal Number 62
 
2.1%
Close Punctuation 52
 
1.8%
Open Punctuation 52
 
1.8%
Uppercase Letter 10
 
0.3%
Connector Punctuation 4
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 66
 
2.5%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%
Decimal Number
ValueCountFrequency (%)
2 25
40.3%
1 22
35.5%
3 5
 
8.1%
5 4
 
6.5%
0 3
 
4.8%
4 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
L 1
 
10.0%
A 1
 
10.0%
E 1
 
10.0%
X 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2648
89.8%
Common 290
 
9.8%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 66
 
2.5%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%
Common
ValueCountFrequency (%)
116
40.0%
) 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%
L 1
 
10.0%
A 1
 
10.0%
E 1
 
10.0%
X 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2648
89.8%
ASCII 300
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
38.7%
) 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%
대 63
 
2.4%
원 63
 
2.4%
시 62
 
2.3%
공 59
 
2.2%
동 53
 
2.0%
지 50
 
1.9%
설 49
 
1.9%
비 48
 
1.8%
상 47
 
1.8%
Other values (296) 2088
78.9%

해제일자
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)62.1%
Missing202
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean20114114
Minimum20040714
Maximum20230119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:56:25.746118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040714
5-th percentile20050628
Q120070206
median20091112
Q320161111
95-th percentile20211135
Maximum20230119
Range189405
Interquartile range (IQR)90905

Descriptive statistics

Standard deviation52702.357
Coefficient of variation (CV)0.0026201679
Kurtosis-0.81836972
Mean20114114
Median Absolute Deviation (MAD)30304
Skewness0.62444472
Sum3.3992853 × 109
Variance2.7775384 × 109
MonotonicityNot monotonic
2023-12-11T05:56:26.110597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628 15
 
4.0%
20090226 6
 
1.6%
20070122 6
 
1.6%
20090806 6
 
1.6%
20070206 6
 
1.6%
20120619 5
 
1.3%
20070906 4
 
1.1%
20081219 4
 
1.1%
20120210 4
 
1.1%
20161230 3
 
0.8%
Other values (95) 110
29.6%
(Missing) 202
54.4%
ValueCountFrequency (%)
20040714 1
 
0.3%
20050609 1
 
0.3%
20050628 15
4.0%
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 (%)
20230119 1
0.3%
20221231 1
0.3%
20220803 1
0.3%
20220630 2
0.5%
20220329 1
0.3%
20220302 1
0.3%
20211220 1
0.3%
20211208 1
0.3%
20211026 1
0.3%
20211001 1
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
01민방위급수시설11_46_01_P34100003410000-E1995000011995-08-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>640.0<NA>대구광역시 중구 대봉동 31번지 32호대구광역시 중구 동덕로8길 34-6 (대봉동)700-809대봉동방천숲2022-10-20 09:44:50U2022-10-22 02:40:00<NA>344969.239799263361.054981대구광역시 중구 대봉동 31번지 32호자치단체자체시설대봉동방천숲<NA>
12민방위급수시설11_46_01_P34100003410000-E1982000011982-06-092020-12-154취소/말소/만료/정지/중지19사용중지2020-12-15<NA><NA><NA><NA>314.0<NA>대구광역시 중구 동인동3가 228번지대구광역시 중구 국채보상로149길 50 (동인동3가, 동인시영아파트)41907동인아파트2020-12-16 17:35:45U2020-12-18 02:40:00<NA>345488.168729264579.818554대구광역시 중구 동인동3가 228번지정부지원시설동인아파트20201215
23민방위급수시설11_46_01_P34100003410000-E1978000021978-12-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>653.0<NA>대구광역시 중구 남산동 2967번지 4 호대구광역시 중구 달구벌대로 1926 (남산동, 대구중부소방서)41973중부소방서2022-10-20 09:32:27U2022-10-22 02:40:00<NA>342214.195185263603.190665대구광역시 중구 남산동 2967번지 4 호정부지원시설중부소방서<NA>
34민방위급수시설11_46_01_P34100003410000-E1995000021995-08-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>542.0<NA>대구광역시 중구 남산동 2508번지 1호대구광역시 중구 남산로1길 42 (남산동, 남산4동주민센터)41977남산어린이공원2022-10-20 09:55:08U2022-10-22 02:40:00<NA>342698.131934263152.077031대구광역시 중구 남산동 2508번지 1호자치단체자체시설남산어린이공원<NA>
45민방위급수시설11_46_01_P34100003410000-E1999000011983-08-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>대구광역시 중구 문화동 12번지 8호대구광역시 중구 동성로12길 16-1 (문화동, 궁전목욕탕)41913궁전사우나2022-10-20 09:51:10U2022-10-22 02:40:00<NA>344109.279847264620.133447대구광역시 중구 문화동 12번지 8호민간시설궁전사우나<NA>
56민방위급수시설11_46_01_P34100003410000-E1976000011983-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>350.0<NA>대구광역시 중구 태평로2가 1번지 1호대구광역시 중구 태평로 141 (태평로2가, 대구콘서트하우스)41902대구콘서트하우스2022-10-20 09:15:45U2022-10-22 02:40:00<NA>343869.929463265121.903335대구광역시 중구 태평로2가 1번지 1호자치단체자체시설대구콘서트하우스<NA>
67민방위급수시설11_46_01_P34100003410000-E1997000011997-12-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>390.0<NA>대구광역시 중구 봉산동 230번지 1호대구광역시 중구 명륜로23길 16 (봉산동, 대구제일중학교)41958제일중학교2022-10-20 09:48:39U2022-10-22 02:40:00<NA>344177.021289263503.822652대구광역시 중구 봉산동 230번지 1호정부지원시설제일중학교<NA>
78민방위급수시설11_46_01_P34100003410000-E1992000041992-06-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>374.0<NA>대구광역시 중구 동인동1가 116번지대구광역시 중구 태평로 225 (동인동1가, 78태평아파트)4190378태평아파트2022-10-20 09:43:20U2022-10-22 02:40:00<NA>344618.224393264938.197473대구광역시 중구 동인동1가 116번지정부지원시설78태평아파트<NA>
89민방위급수시설11_46_01_P34100003410000-E1992000011980-12-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>906.0<NA>대구광역시 중구 동인동2가 42번지대구광역시 중구 국채보상로 670 (동인동2가, 국채보상운동기념공원)41939국채보상운동기념공원2022-10-20 09:42:35U2022-10-22 02:40:00<NA>344548.410647264350.066199대구광역시 중구 동인동2가 42번지정부지원시설국채보상운동기념공원<NA>
910민방위급수시설11_46_01_P34100003410000-E1984000011982-10-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>500.0<NA>대구광역시 중구 포정동 21번지대구광역시 중구 경상감영길 99 (포정동, 감영공원)41918경상감영공원2022-10-20 09:40:36U2022-10-22 02:40:00<NA>343720.272511264729.778092대구광역시 중구 포정동 21번지정부지원시설경상감영공원<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
361362민방위급수시설11_46_01_P34800003480000-E2019000022019-05-232022-12-314취소/말소/만료/정지/중지19사용중지2022-12-31<NA><NA><NA><NA>93.0<NA>대구광역시 달성군 다사읍 171번지 1호대구광역시 달성군 다사읍 서재로 13242925우성사우나2023-01-07 11:51:53U2023-01-09 02:40:00<NA><NA><NA>대구광역시 달성군 다사읍 171번지 1호공공용시설우성사우나20221231
362363민방위급수시설11_46_01_P34800003480000-E2019000032019-05-232022-03-024취소/말소/만료/정지/중지19사용중지2022-03-02<NA><NA><NA><NA>20.0<NA>대구광역시 달성군 화원읍 301번지 3호대구광역시 달성군 화원읍 비슬로 250842956새롬사우나(1)2022-03-02 10:51:14U2022-03-04 02:40:00<NA>334831.137829256605.694917대구광역시 달성군 화원읍 301번지 3호공공시설새롬사우나(1)20220302
363364민방위급수시설11_46_01_P34800003480000-E1984000011984-02-012010-06-104취소/말소/만료/정지/중지19사용중지2010-06-10<NA><NA><NA><NA>250.0<NA>대구광역시 달성군 화원읍 설화리 553번지 13 호<NA><NA>공공시설(화원고등학교)2010-08-11 10:25:08I2018-08-31 23:59:59<NA><NA><NA>대구광역시 달성군 화원읍 설화리 553번지 13 호공공시설공공시설(화원고등학교)20100610
364365민방위급수시설11_46_01_P34800003480000-E1997000021997-01-022010-06-104취소/말소/만료/정지/중지19사용중지2010-06-10<NA><NA><NA><NA>400.0<NA>대구광역시 달성군 화원읍 구라리 1734<NA><NA>민간시설(화원 도화목욕탕)2010-08-11 10:26:22I2018-08-31 23:59:59<NA><NA><NA>대구광역시 달성군 화원읍 구라리 1734민간시설민간시설(화원 도화목욕탕)20100610
365366민방위급수시설11_46_01_P34800003480000-E1994000021994-01-072012-12-284취소/말소/만료/정지/중지19사용중지2012-12-28<NA><NA><NA><NA>450.0<NA>대구광역시 달성군 가창면 냉천리 477번지 1호<NA><NA>민간시설(대림생수B)2013-05-28 15:01:59I2018-08-31 23:59:59<NA><NA><NA>대구광역시 달성군 가창면 냉천리 477번지 1호민간시설민간시설(대림생수B)20121228
366367민방위급수시설11_46_01_P34800003480000-E2011000032011-11-162020-03-244취소/말소/만료/정지/중지19사용중지2020-03-24<NA><NA><NA><NA>200.0<NA>대구광역시 달성군 다사읍 119번지 4호대구광역시 달성군 다사읍 달구벌대로 86042918장수 목욕탕2020-08-20 10:21:20U2020-08-22 02:40:00<NA>332145.196359263083.111357대구광역시 달성군 다사읍 119번지 4호민간시설장수 목욕탕20200324
367368민방위급수시설11_46_01_P34800003480000-E2012000012012-07-032017-12-054취소/말소/만료/정지/중지19사용중지2017-12-05<NA><NA><NA><NA>300.0<NA>대구광역시 달성군 논공읍 803번지 37호대구광역시 달성군 논공읍 논공로17길 17 (해오름)42979해오름2017-12-05 19:32:49I2018-08-31 23:59:59<NA>330338.711441248752.38292대구광역시 달성군 논공읍 803번지 37호민간시설해오름20171205
368369민방위급수시설11_46_01_P34800003480000-E2014000022014-02-052017-12-064취소/말소/만료/정지/중지19사용중지2017-12-06<NA><NA><NA><NA>360.0<NA>대구광역시 달성군 다사읍 1549번지 2호대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)사계절 스포츠12018-01-02 17:36:45I2018-08-31 23:59:59<NA>332450.350918262928.872316대구광역시 달성군 다사읍 1549번지 2호민간시설(주)사계절 스포츠120171206
369370민방위급수시설11_46_01_P34800003480000-E2014000032014-02-052017-12-064취소/말소/만료/정지/중지19사용중지2017-12-06<NA><NA><NA><NA>130.0<NA>대구광역시 달성군 다사읍 매곡리 1549번지 2호대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)사계절 스포츠22018-01-02 17:37:54I2018-08-31 23:59:59<NA>332450.350918262928.872316대구광역시 달성군 다사읍 매곡리 1549번지 2호민간시설(주)사계절 스포츠220171206
370371민방위급수시설11_46_01_P34800003480000-E2019000062019-05-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>95.0<NA>대구광역시 달성군 구지면 840번지 5호대구광역시 달성군 구지면 달성2차동1로 9943013해양머드온천랜드(2)2023-01-26 13:46:45U2023-01-28 02:40:00<NA><NA><NA>대구광역시 달성군 구지면 840번지 5호공공용시설해양머드온천랜드(2)<NA>