Overview

Dataset statistics

Number of variables32
Number of observations378
Missing cells3368
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.8 KiB
Average record size in memory270.3 B

Variable types

Numeric6
Categorical8
Text7
DateTime5
Unsupported6

Dataset

Description23년11월_6270000_대구광역시_11_46_01_P_민방위급수시설
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101290&dataSetDetailId=DDI_0000101300&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 203 (53.7%) missing valuesMissing
폐업일자 has 203 (53.7%) missing valuesMissing
휴업시작일자 has 378 (100.0%) missing valuesMissing
휴업종료일자 has 378 (100.0%) missing valuesMissing
재개업일자 has 378 (100.0%) missing valuesMissing
소재지전화 has 378 (100.0%) missing valuesMissing
소재지우편번호 has 378 (100.0%) missing valuesMissing
도로명전체주소 has 109 (28.8%) missing valuesMissing
도로명우편번호 has 130 (34.4%) missing valuesMissing
업태구분명 has 378 (100.0%) missing valuesMissing
좌표정보(X) has 125 (33.1%) missing valuesMissing
좌표정보(Y) has 125 (33.1%) missing valuesMissing
해제일자 has 203 (53.7%) 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 started2023-12-16 04:43:45.326389
Analysis finished2023-12-16 04:43:51.104970
Duration5.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct378
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.5
Minimum1
Maximum378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:43:51.795833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.85
Q195.25
median189.5
Q3283.75
95-th percentile359.15
Maximum378
Range377
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation109.26344
Coefficient of variation (CV)0.57658809
Kurtosis-1.2
Mean189.5
Median Absolute Deviation (MAD)94.5
Skewness0
Sum71631
Variance11938.5
MonotonicityStrictly increasing
2023-12-16T04:43:53.393149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
250 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
Other values (368) 368
97.4%
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 (%)
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
민방위급수시설
378 

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 378
100.0%

Length

2023-12-16T04:43:54.326546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:43:54.677906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위급수시설 378
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
11_46_01_P
378 

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 378
100.0%

Length

2023-12-16T04:43:55.162480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:43:55.746599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_01_p 378
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459132.3
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:43:56.141662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation124510.05
Coefficient of variation (CV)0.03599459
Kurtosis176.43155
Mean3459132.3
Median Absolute Deviation (MAD)20000
Skewness13.137186
Sum1.307552 × 109
Variance1.5502752 × 1010
MonotonicityIncreasing
2023-12-16T04:43:56.805664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 87
23.0%
3450000 79
20.9%
3420000 44
11.6%
3430000 42
11.1%
3460000 42
11.1%
3480000 35
9.3%
3440000 30
 
7.9%
3410000 17
 
4.5%
5141000 2
 
0.5%
ValueCountFrequency (%)
3410000 17
 
4.5%
3420000 44
11.6%
3430000 42
11.1%
3440000 30
 
7.9%
3450000 79
20.9%
3460000 42
11.1%
3470000 87
23.0%
3480000 35
9.3%
5141000 2
 
0.5%
ValueCountFrequency (%)
5141000 2
 
0.5%
3480000 35
9.3%
3470000 87
23.0%
3460000 42
11.1%
3450000 79
20.9%
3440000 30
 
7.9%
3430000 42
11.1%
3420000 44
11.6%
3410000 17
 
4.5%

관리번호
Text

UNIQUE 

Distinct378
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-16T04:43:58.259467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters6804
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

Unique378 ?
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-e199200005 1
 
0.3%
3470000-e200600004 1
 
0.3%
3470000-e201000011 1
 
0.3%
3460000-e201400002 1
 
0.3%
3460000-e198300003 1
 
0.3%
3460000-e198400003 1
 
0.3%
3460000-e199200002 1
 
0.3%
3460000-e198900003 1
 
0.3%
3470000-e200300003 1
 
0.3%
Other values (368) 368
97.4%
2023-12-16T04:44:00.559666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3373
49.6%
3 525
 
7.7%
4 482
 
7.1%
1 427
 
6.3%
2 393
 
5.8%
- 378
 
5.6%
E 378
 
5.6%
9 352
 
5.2%
7 146
 
2.1%
8 131
 
1.9%
Other values (3) 219
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6042
88.8%
Dash Punctuation 378
 
5.6%
Uppercase Letter 378
 
5.6%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3373
55.8%
3 525
 
8.7%
4 482
 
8.0%
1 427
 
7.1%
2 393
 
6.5%
9 352
 
5.8%
7 146
 
2.4%
8 131
 
2.2%
5 126
 
2.1%
6 87
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 378
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6426
94.4%
Latin 378
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3373
52.5%
3 525
 
8.2%
4 482
 
7.5%
1 427
 
6.6%
2 393
 
6.1%
- 378
 
5.9%
9 352
 
5.5%
7 146
 
2.3%
8 131
 
2.0%
5 126
 
2.0%
Other values (2) 93
 
1.4%
Latin
ValueCountFrequency (%)
E 378
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3373
49.6%
3 525
 
7.7%
4 482
 
7.1%
1 427
 
6.3%
2 393
 
5.8%
- 378
 
5.6%
E 378
 
5.6%
9 352
 
5.2%
7 146
 
2.1%
8 131
 
1.9%
Other values (3) 219
 
3.2%

인허가일자
Date

Distinct199
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1970-04-30 00:00:00
Maximum2023-07-28 00:00:00
2023-12-16T04:44:01.429142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:44:02.476564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct109
Distinct (%)62.3%
Missing203
Missing (%)53.7%
Memory size3.1 KiB
Minimum2004-07-14 00:00:00
Maximum2023-08-09 00:00:00
2023-12-16T04:44:03.535133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:44:04.505181image/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 size3.1 KiB
1
203 
4
175 

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 (%)
1 203
53.7%
4 175
46.3%

Length

2023-12-16T04:44:05.166042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:05.996740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 203
53.7%
4 175
46.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
203 
취소/말소/만료/정지/중지
175 

Length

Max length14
Median length5
Mean length9.1666667
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 203
53.7%
취소/말소/만료/정지/중지 175
46.3%

Length

2023-12-16T04:44:06.737494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:07.540472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 203
53.7%
취소/말소/만료/정지/중지 175
46.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
18
203 
19
175 

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 (%)
18 203
53.7%
19 175
46.3%

Length

2023-12-16T04:44:08.419440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:09.203715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 203
53.7%
19 175
46.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
사용중
203 
사용중지
175 

Length

Max length4
Median length3
Mean length3.462963
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 203
53.7%
사용중지 175
46.3%

Length

2023-12-16T04:44:09.962103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:10.664663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 203
53.7%
사용중지 175
46.3%

폐업일자
Date

MISSING 

Distinct109
Distinct (%)62.3%
Missing203
Missing (%)53.7%
Memory size3.1 KiB
Minimum2004-07-14 00:00:00
Maximum2023-08-09 00:00:00
2023-12-16T04:44:11.435581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:44:12.313069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

소재지면적
Real number (ℝ)

Distinct131
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.08571
Minimum0
Maximum10118
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:44:13.320445image/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 deviation556.77694
Coefficient of variation (CV)1.6468514
Kurtosis253.93981
Mean338.08571
Median Absolute Deviation (MAD)110
Skewness14.615026
Sum127796.4
Variance310000.56
MonotonicityNot monotonic
2023-12-16T04:44:14.285062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.0 30
 
7.9%
300.0 23
 
6.1%
250.0 21
 
5.6%
500.0 17
 
4.5%
400.0 15
 
4.0%
150.0 15
 
4.0%
100.0 14
 
3.7%
90.0 13
 
3.4%
288.0 10
 
2.6%
350.0 8
 
2.1%
Other values (121) 212
56.1%
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 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

Distinct353
Distinct (%)93.6%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2023-12-16T04:44:15.297497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.535809
Min length15

Characters and Unicode

Total characters8119
Distinct characters161
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

Unique331 ?
Unique (%)87.8%

Sample

1st row대구광역시 중구 대봉동 31-30
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 377
 
21.2%
달서구 86
 
4.8%
북구 79
 
4.4%
1호 48
 
2.7%
동구 44
 
2.5%
수성구 42
 
2.4%
서구 42
 
2.4%
달성군 35
 
2.0%
남구 30
 
1.7%
2호 26
 
1.5%
Other values (519) 969
54.5%
2023-12-16T04:44:17.232003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1562
19.2%
구 739
 
9.1%
대 419
 
5.2%
동 394
 
4.9%
역 382
 
4.7%
시 378
 
4.7%
광 377
 
4.6%
1 357
 
4.4%
지 316
 
3.9%
번 298
 
3.7%
Other values (151) 2897
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4964
61.1%
Space Separator 1562
 
19.2%
Decimal Number 1534
 
18.9%
Dash Punctuation 50
 
0.6%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%
Decimal Number
ValueCountFrequency (%)
1 357
23.3%
2 197
12.8%
3 175
11.4%
4 144
9.4%
0 137
 
8.9%
5 120
 
7.8%
6 113
 
7.4%
8 108
 
7.0%
7 99
 
6.5%
9 84
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
1562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4964
61.1%
Common 3155
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%
Common
ValueCountFrequency (%)
1562
49.5%
1 357
 
11.3%
2 197
 
6.2%
3 175
 
5.5%
4 144
 
4.6%
0 137
 
4.3%
5 120
 
3.8%
6 113
 
3.6%
8 108
 
3.4%
7 99
 
3.1%
Other values (6) 143
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4964
61.1%
ASCII 3155
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1562
49.5%
1 357
 
11.3%
2 197
 
6.2%
3 175
 
5.5%
4 144
 
4.6%
0 137
 
4.3%
5 120
 
3.8%
6 113
 
3.6%
8 108
 
3.4%
7 99
 
3.1%
Other values (6) 143
 
4.5%
Hangul
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%

도로명전체주소
Text

MISSING 

Distinct245
Distinct (%)91.1%
Missing109
Missing (%)28.8%
Memory size3.1 KiB
2023-12-16T04:44:18.736171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length27.490706
Min length20

Characters and Unicode

Total characters7395
Distinct characters265
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

Unique224 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 신천대로 677(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 269
 
18.4%
달서구 68
 
4.6%
북구 50
 
3.4%
수성구 35
 
2.4%
달성군 32
 
2.2%
동구 27
 
1.8%
서구 24
 
1.6%
중구 16
 
1.1%
달구벌대로 15
 
1.0%
남구 15
 
1.0%
Other values (569) 913
62.4%
2023-12-16T04:44:20.838861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1201
 
16.2%
구 561
 
7.6%
대 369
 
5.0%
동 309
 
4.2%
역 279
 
3.8%
시 277
 
3.7%
광 271
 
3.7%
로 255
 
3.4%
( 240
 
3.2%
) 240
 
3.2%
Other values (255) 3393
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4680
63.3%
Space Separator 1201
 
16.2%
Decimal Number 892
 
12.1%
Open Punctuation 240
 
3.2%
Close Punctuation 240
 
3.2%
Other Punctuation 112
 
1.5%
Dash Punctuation 30
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 561
 
12.0%
대 369
 
7.9%
동 309
 
6.6%
역 279
 
6.0%
시 277
 
5.9%
광 271
 
5.8%
로 255
 
5.4%
서 129
 
2.8%
달 127
 
2.7%
성 124
 
2.6%
Other values (240) 1979
42.3%
Decimal Number
ValueCountFrequency (%)
1 188
21.1%
2 144
16.1%
3 90
10.1%
5 85
9.5%
0 82
9.2%
4 78
8.7%
6 69
 
7.7%
7 60
 
6.7%
9 52
 
5.8%
8 44
 
4.9%
Space Separator
ValueCountFrequency (%)
1201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Other Punctuation
ValueCountFrequency (%)
, 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4680
63.3%
Common 2715
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 561
 
12.0%
대 369
 
7.9%
동 309
 
6.6%
역 279
 
6.0%
시 277
 
5.9%
광 271
 
5.8%
로 255
 
5.4%
서 129
 
2.8%
달 127
 
2.7%
성 124
 
2.6%
Other values (240) 1979
42.3%
Common
ValueCountFrequency (%)
1201
44.2%
( 240
 
8.8%
) 240
 
8.8%
1 188
 
6.9%
2 144
 
5.3%
, 112
 
4.1%
3 90
 
3.3%
5 85
 
3.1%
0 82
 
3.0%
4 78
 
2.9%
Other values (5) 255
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4680
63.3%
ASCII 2715
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1201
44.2%
( 240
 
8.8%
) 240
 
8.8%
1 188
 
6.9%
2 144
 
5.3%
, 112
 
4.1%
3 90
 
3.3%
5 85
 
3.1%
0 82
 
3.0%
4 78
 
2.9%
Other values (5) 255
 
9.4%
Hangul
ValueCountFrequency (%)
구 561
 
12.0%
대 369
 
7.9%
동 309
 
6.6%
역 279
 
6.0%
시 277
 
5.9%
광 271
 
5.8%
로 255
 
5.4%
서 129
 
2.8%
달 127
 
2.7%
성 124
 
2.6%
Other values (240) 1979
42.3%

도로명우편번호
Text

MISSING 

Distinct201
Distinct (%)81.0%
Missing130
Missing (%)34.4%
Memory size3.1 KiB
2023-12-16T04:44:21.969846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1774194
Min length5

Characters and Unicode

Total characters1284
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

Unique159 ?
Unique (%)64.1%

Sample

1st row41952
2nd row41907
3rd row41973
4th row41977
5th row41913
ValueCountFrequency (%)
42913 4
 
1.6%
41463 3
 
1.2%
42610 3
 
1.2%
41451 3
 
1.2%
42686 2
 
0.8%
41569 2
 
0.8%
41231 2
 
0.8%
42615 2
 
0.8%
42601 2
 
0.8%
42669 2
 
0.8%
Other values (191) 223
89.9%
2023-12-16T04:44:24.996353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 307
23.9%
2 206
16.0%
1 186
14.5%
0 102
 
7.9%
6 95
 
7.4%
7 85
 
6.6%
9 82
 
6.4%
3 69
 
5.4%
8 66
 
5.1%
5 64
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1262
98.3%
Dash Punctuation 22
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 307
24.3%
2 206
16.3%
1 186
14.7%
0 102
 
8.1%
6 95
 
7.5%
7 85
 
6.7%
9 82
 
6.5%
3 69
 
5.5%
8 66
 
5.2%
5 64
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 307
23.9%
2 206
16.0%
1 186
14.5%
0 102
 
7.9%
6 95
 
7.4%
7 85
 
6.6%
9 82
 
6.4%
3 69
 
5.4%
8 66
 
5.1%
5 64
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 307
23.9%
2 206
16.0%
1 186
14.5%
0 102
 
7.9%
6 95
 
7.4%
7 85
 
6.6%
9 82
 
6.4%
3 69
 
5.4%
8 66
 
5.1%
5 64
 
5.0%

사업장명
Text

Distinct362
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-16T04:44:26.924826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.0026455
Min length2

Characters and Unicode

Total characters3025
Distinct characters331
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

Unique348 ?
Unique (%)92.1%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.2%
민방위 27
 
5.4%
목욕탕 4
 
0.8%
사우나 4
 
0.8%
황금초등학교 3
 
0.6%
영송생활관 3
 
0.6%
보건대 3
 
0.6%
정부지원 3
 
0.6%
우영펠리스 3
 
0.6%
지묘동 3
 
0.6%
Other values (387) 409
82.1%
2023-12-16T04:44:28.935258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
4.0%
수 68
 
2.2%
원 64
 
2.1%
대 64
 
2.1%
시 64
 
2.1%
공 61
 
2.0%
( 55
 
1.8%
) 55
 
1.8%
동 54
 
1.8%
지 53
 
1.8%
Other values (321) 2367
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2710
89.6%
Space Separator 120
 
4.0%
Decimal Number 67
 
2.2%
Open Punctuation 55
 
1.8%
Close Punctuation 55
 
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 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%
Decimal Number
ValueCountFrequency (%)
2 26
38.8%
1 24
35.8%
3 6
 
9.0%
5 5
 
7.5%
0 3
 
4.5%
4 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
B 1
 
10.0%
L 1
 
10.0%
A 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2710
89.6%
Common 305
 
10.1%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%
Common
ValueCountFrequency (%)
120
39.3%
( 55
18.0%
) 55
18.0%
2 26
 
8.5%
1 24
 
7.9%
3 6
 
2.0%
5 5
 
1.6%
_ 4
 
1.3%
- 4
 
1.3%
0 3
 
1.0%
Other values (3) 3
 
1.0%
Latin
ValueCountFrequency (%)
K 3
30.0%
B 1
 
10.0%
L 1
 
10.0%
A 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2710
89.6%
ASCII 315
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
38.1%
( 55
17.5%
) 55
17.5%
2 26
 
8.3%
1 24
 
7.6%
3 6
 
1.9%
5 5
 
1.6%
_ 4
 
1.3%
- 4
 
1.3%
0 3
 
1.0%
Other values (11) 13
 
4.1%
Hangul
ValueCountFrequency (%)
수 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%

최종수정시점
Date

Distinct346
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2003-12-09 00:00:00
Maximum2023-11-11 17:23:13
2023-12-16T04:44:29.584500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:44:30.423179image/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 size3.1 KiB
U
213 
I
165 

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 213
56.3%
I 165
43.7%

Length

2023-12-16T04:44:31.166725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:31.987274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 213
56.3%
i 165
43.7%

데이터갱신일자
Date

Distinct78
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-13 02:40:00
2023-12-16T04:44:32.686022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:44:33.468849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing378
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)90.9%
Missing125
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean341740.5
Minimum328293.62
Maximum356191.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:44:34.401826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328293.62
5-th percentile332450.35
Q1338120.65
median341387.58
Q3345313.59
95-th percentile350999.42
Maximum356191.66
Range27898.032
Interquartile range (IQR)7192.9349

Descriptive statistics

Standard deviation5465.7031
Coefficient of variation (CV)0.015993723
Kurtosis-0.034478592
Mean341740.5
Median Absolute Deviation (MAD)3519.7071
Skewness0.083479736
Sum86460347
Variance29873910
MonotonicityNot monotonic
2023-12-16T04:44:35.112689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
332450.350917953 4
 
1.1%
339624.55505302 3
 
0.8%
328293.623590322 2
 
0.5%
334461.497981241 2
 
0.5%
348553.549695578 2
 
0.5%
341036.27707168 2
 
0.5%
344240.414300598 2
 
0.5%
347950.194974987 2
 
0.5%
340513.19646324 2
 
0.5%
340511.431979053 2
 
0.5%
Other values (220) 230
60.8%
(Missing) 125
33.1%
ValueCountFrequency (%)
328293.623590322 2
0.5%
329329.40921916 1
0.3%
330289.216222257 1
0.3%
330338.711440998 1
0.3%
330342.686681021 1
0.3%
330680.336773251 1
0.3%
331001.179757647 1
0.3%
331299.704437959 1
0.3%
331552.548437682 1
0.3%
332127.138155058 1
0.3%
ValueCountFrequency (%)
356191.655582634 1
0.3%
355694.750941099 1
0.3%
354384.426572907 1
0.3%
354240.764705551 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%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)90.9%
Missing125
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean263467.61
Minimum238769.81
Maximum304621.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:44:35.919647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile254093.03
Q1261689.07
median263182.16
Q3265700.67
95-th percentile272158.94
Maximum304621.79
Range65851.973
Interquartile range (IQR)4011.5968

Descriptive statistics

Standard deviation6563.742
Coefficient of variation (CV)0.024912899
Kurtosis10.656765
Mean263467.61
Median Absolute Deviation (MAD)2158.8293
Skewness0.64383393
Sum66657306
Variance43082709
MonotonicityNot monotonic
2023-12-16T04:44:37.426138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262928.872315932 4
 
1.1%
271354.946570948 3
 
0.8%
238769.812521748 2
 
0.5%
262699.052324095 2
 
0.5%
267319.115552328 2
 
0.5%
272406.426940163 2
 
0.5%
270166.254491593 2
 
0.5%
265687.625739554 2
 
0.5%
272960.803625499 2
 
0.5%
264476.226538884 2
 
0.5%
Other values (220) 230
60.8%
(Missing) 125
33.1%
ValueCountFrequency (%)
238769.812521748 2
0.5%
244585.447132174 1
0.3%
244686.529495474 2
0.5%
245020.867134474 1
0.3%
245205.925240694 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%
ValueCountFrequency (%)
304621.785566115 1
0.3%
298670.375717395 1
0.3%
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%

비상시설위치
Text

Distinct353
Distinct (%)93.6%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2023-12-16T04:44:38.336999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.535809
Min length15

Characters and Unicode

Total characters8119
Distinct characters161
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

Unique331 ?
Unique (%)87.8%

Sample

1st row대구광역시 중구 대봉동 31-30
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 377
 
21.2%
달서구 86
 
4.8%
북구 79
 
4.4%
1호 48
 
2.7%
동구 44
 
2.5%
수성구 42
 
2.4%
서구 42
 
2.4%
달성군 35
 
2.0%
남구 30
 
1.7%
2호 26
 
1.5%
Other values (519) 969
54.5%
2023-12-16T04:44:40.492039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1562
19.2%
구 739
 
9.1%
대 419
 
5.2%
동 394
 
4.9%
역 382
 
4.7%
시 378
 
4.7%
광 377
 
4.6%
1 357
 
4.4%
지 316
 
3.9%
번 298
 
3.7%
Other values (151) 2897
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4964
61.1%
Space Separator 1562
 
19.2%
Decimal Number 1534
 
18.9%
Dash Punctuation 50
 
0.6%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%
Decimal Number
ValueCountFrequency (%)
1 357
23.3%
2 197
12.8%
3 175
11.4%
4 144
9.4%
0 137
 
8.9%
5 120
 
7.8%
6 113
 
7.4%
8 108
 
7.0%
7 99
 
6.5%
9 84
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
1562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4964
61.1%
Common 3155
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%
Common
ValueCountFrequency (%)
1562
49.5%
1 357
 
11.3%
2 197
 
6.2%
3 175
 
5.5%
4 144
 
4.6%
0 137
 
4.3%
5 120
 
3.8%
6 113
 
3.6%
8 108
 
3.4%
7 99
 
3.1%
Other values (6) 143
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4964
61.1%
ASCII 3155
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1562
49.5%
1 357
 
11.3%
2 197
 
6.2%
3 175
 
5.5%
4 144
 
4.6%
0 137
 
4.3%
5 120
 
3.8%
6 113
 
3.6%
8 108
 
3.4%
7 99
 
3.1%
Other values (6) 143
 
4.5%
Hangul
ValueCountFrequency (%)
구 739
14.9%
대 419
 
8.4%
동 394
 
7.9%
역 382
 
7.7%
시 378
 
7.6%
광 377
 
7.6%
지 316
 
6.4%
번 298
 
6.0%
호 195
 
3.9%
서 134
 
2.7%
Other values (135) 1332
26.8%

시설구분명
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
민간시설
194 
정부지원시설
75 
공공용시설
60 
지자체시설
 
17
공공시설
 
17

Length

Max length8
Median length4
Mean length4.7592593
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 194
51.3%
정부지원시설 75
 
19.8%
공공용시설 60
 
15.9%
지자체시설 17
 
4.5%
공공시설 17
 
4.5%
자치단체자체시설 15
 
4.0%

Length

2023-12-16T04:44:41.681485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:44:42.268022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 194
51.3%
정부지원시설 75
 
19.8%
공공용시설 60
 
15.9%
지자체시설 17
 
4.5%
공공시설 17
 
4.5%
자치단체자체시설 15
 
4.0%

시설명_건물명
Text

Distinct362
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-16T04:44:43.538108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length8.0026455
Min length2

Characters and Unicode

Total characters3025
Distinct characters331
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

Unique348 ?
Unique (%)92.1%

Sample

1st row대봉동방천숲
2nd row동인아파트
3rd row중부소방서
4th row남산어린이공원
5th row궁전사우나
ValueCountFrequency (%)
비상급수시설 36
 
7.2%
민방위 27
 
5.4%
목욕탕 4
 
0.8%
사우나 4
 
0.8%
황금초등학교 3
 
0.6%
영송생활관 3
 
0.6%
보건대 3
 
0.6%
정부지원 3
 
0.6%
우영펠리스 3
 
0.6%
지묘동 3
 
0.6%
Other values (387) 409
82.1%
2023-12-16T04:44:45.021040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
4.0%
수 68
 
2.2%
원 64
 
2.1%
대 64
 
2.1%
시 64
 
2.1%
공 61
 
2.0%
( 55
 
1.8%
) 55
 
1.8%
동 54
 
1.8%
지 53
 
1.8%
Other values (321) 2367
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2710
89.6%
Space Separator 120
 
4.0%
Decimal Number 67
 
2.2%
Open Punctuation 55
 
1.8%
Close Punctuation 55
 
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 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%
Decimal Number
ValueCountFrequency (%)
2 26
38.8%
1 24
35.8%
3 6
 
9.0%
5 5
 
7.5%
0 3
 
4.5%
4 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
B 1
 
10.0%
L 1
 
10.0%
A 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2710
89.6%
Common 305
 
10.1%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%
Common
ValueCountFrequency (%)
120
39.3%
( 55
18.0%
) 55
18.0%
2 26
 
8.5%
1 24
 
7.9%
3 6
 
2.0%
5 5
 
1.6%
_ 4
 
1.3%
- 4
 
1.3%
0 3
 
1.0%
Other values (3) 3
 
1.0%
Latin
ValueCountFrequency (%)
K 3
30.0%
B 1
 
10.0%
L 1
 
10.0%
A 1
 
10.0%
O 1
 
10.0%
C 1
 
10.0%
X 1
 
10.0%
E 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2710
89.6%
ASCII 315
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
38.1%
( 55
17.5%
) 55
17.5%
2 26
 
8.3%
1 24
 
7.6%
3 6
 
1.9%
5 5
 
1.6%
_ 4
 
1.3%
- 4
 
1.3%
0 3
 
1.0%
Other values (11) 13
 
4.1%
Hangul
ValueCountFrequency (%)
수 68
 
2.5%
원 64
 
2.4%
대 64
 
2.4%
시 64
 
2.4%
공 61
 
2.3%
동 54
 
2.0%
지 53
 
2.0%
설 51
 
1.9%
비 50
 
1.8%
상 49
 
1.8%
Other values (300) 2132
78.7%

해제일자
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)62.3%
Missing203
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean20118109
Minimum20040714
Maximum20230809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-16T04:44:45.766322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040714
5-th percentile20050628
Q120070206
median20100120
Q320161230
95-th percentile20220682
Maximum20230809
Range190095
Interquartile range (IQR)91023.5

Descriptive statistics

Standard deviation55982.031
Coefficient of variation (CV)0.0027826686
Kurtosis-0.89570624
Mean20118109
Median Absolute Deviation (MAD)39007
Skewness0.60050825
Sum3.5206691 × 109
Variance3.1339878 × 109
MonotonicityNot monotonic
2023-12-16T04:44:46.577790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050628 15
 
4.0%
20070122 6
 
1.6%
20090806 6
 
1.6%
20070206 6
 
1.6%
20090226 6
 
1.6%
20120619 5
 
1.3%
20070906 4
 
1.1%
20120210 4
 
1.1%
20081219 4
 
1.1%
20061220 3
 
0.8%
Other values (99) 116
30.7%
(Missing) 203
53.7%
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 (%)
20230809 2
0.5%
20230728 2
0.5%
20230407 1
0.3%
20230406 1
0.3%
20230119 1
0.3%
20221231 1
0.3%
20220803 1
0.3%
20220630 2
0.5%
20220329 1
0.3%
20220302 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 31-30대구광역시 중구 신천대로 677(대봉동)41952대봉동방천숲2023-03-29 10:36:42U2023-04-01 02:40:00<NA>344969.239799263361.054981대구광역시 중구 대봉동 31-30지자체시설대봉동방천숲<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)41973중부소방서2023-03-28 09:11:23U2023-05-26 08:48:36<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)41977남산어린이공원2023-03-31 15:57:35U2023-04-02 02:40:00<NA>342698.131934263152.077031대구광역시 중구 남산동 2508번지 1호지자체시설남산어린이공원<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)41913궁전사우나2023-03-28 09:17:09U2023-03-30 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)41902대구콘서트하우스2023-10-14 11:59:57U2023-10-16 02:40:00<NA>343869.929463265121.903335대구광역시 중구 태평로2가 1번지 1호지자체시설대구콘서트하우스<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)41958제일중학교2023-03-28 09:15:34U2023-03-30 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)41939국채보상운동기념공원2023-03-31 15:55:27U2023-04-02 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)41918경상감영공원2023-10-14 12:00:47U2023-10-16 02:40:00<NA>343720.272511264729.778092대구광역시 중구 포정동 21번지정부지원시설경상감영공원<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
368369민방위급수시설11_46_01_P34800003480000-E1991000011991-01-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>대구광역시 달성군 논공읍 북리 824번지 21호대구광역시 달성군 논공읍 용호로1길 5<NA>대영사우나2023-01-07 11:41:14U2023-01-09 02:40:00<NA>330680.336773248523.534088대구광역시 달성군 논공읍 북리 824번지 21호공공용시설대영사우나<NA>
369370민방위급수시설11_46_01_P34800003480000-E1994000011994-01-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120.0<NA>대구광역시 달성군 가창면 480번지 3호대구광역시 달성군 가창면 가창로 73742938민간시설(대림생수)2023-01-07 12:01:53U2023-05-26 08:48:36<NA>348583.673144254351.635252대구광역시 달성군 가창면 480번지 3호공공용시설민간시설(대림생수)<NA>
370371민방위급수시설11_46_01_P34800003480000-E2011000022011-11-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300.0<NA>대구광역시 달성군 다사읍 209번지대구광역시 달성군 다사읍 죽곡1길 16-642918휴림원 목욕탕2023-01-07 11:57:21U2023-05-26 08:48:36<NA>332127.138155262907.017593대구광역시 달성군 다사읍 209번지공공용시설휴림원 목욕탕<NA>
371372민방위급수시설11_46_01_P34800003480000-E2014000012014-02-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>대구광역시 달성군 화원읍 233번지 7호대구광역시 달성군 화원읍 화원로7길 6942954청수목욕탕2023-01-07 11:57:39U2023-05-26 08:48:36<NA>335132.554079257174.10619대구광역시 달성군 화원읍 233번지 7호공공용시설청수목욕탕<NA>
372373민방위급수시설11_46_01_P34800003480000-E1997000031997-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300.0<NA>대구광역시 달성군 논공읍 북리 1번지 36호대구광역시 달성군 논공읍 논공로 697-1042981정부지원 민방위 비상급수시설(군민운동장내)2023-01-07 11:53:22U2023-01-09 02:40:00<NA>331001.179758248675.595433대구광역시 달성군 논공읍 북리 1번지 36호정부지원시설정부지원 민방위 비상급수시설(군민운동장내)<NA>
373374민방위급수시설11_46_01_P34800003480000-E1998000021998-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>250.0<NA>대구광역시 달성군 다사읍 매곡리 885번지 1호대구광역시 달성군 다사읍 매곡로 7-0<NA>정부지원 비상급수시설(다사읍사무소내)2023-01-07 11:53:40U2023-01-09 02:40:00<NA>331299.704438263394.691985대구광역시 달성군 다사읍 매곡리 885번지 1호정부지원시설정부지원 비상급수시설(다사읍사무소내)<NA>
374375민방위급수시설11_46_01_P34800003480000-E2011000012011-11-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>492.0<NA>대구광역시 달성군 논공읍 금포리 1313번지대구광역시 달성군 논공읍 달성군청로 33<NA>대구광역시 달성군청2023-01-07 11:57:08U2023-01-09 02:40:00<NA>329329.409219253705.110911대구광역시 달성군 논공읍 금포리 1313번지공공용시설대구광역시 달성군청<NA>
375376민방위급수시설11_46_01_P34800003480000-E2017000012017-12-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>220.0<NA>대구광역시 달성군 다사읍 1549번지 2호대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)선샤인 스포츠12023-01-07 11:57:54U2023-05-26 08:48:36<NA>332450.350918262928.872316대구광역시 달성군 다사읍 1549번지 2호공공용시설(주)선샤인 스포츠1<NA>
376377민방위급수시설11_46_01_P51410005141000-E2019000012019-12-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>150.0<NA>대구광역시 군위군 의흥면 읍내리 434번지대구광역시 군위군 의흥면 읍내길 37-1443149민방위비상급수시설2023-07-01 09:04:44I2023-07-03 00:19:24<NA>354240.764706298670.375717대구광역시 군위군 의흥면 읍내리 434번지정부지원시설민방위비상급수시설<NA>
377378민방위급수시설11_46_01_P51410005141000-E1998000011998-05-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>250.0<NA>대구광역시 군위군 군위읍 649번지대구광역시 군위군 군위읍 군청로 98-8 (군민회관)43120민방위비상급수시설2023-07-01 09:04:44I2023-07-03 00:19:24<NA>341144.566401304621.785566대구광역시 군위군 군위읍 649번지정부지원시설민방위비상급수시설<NA>