Overview

Dataset statistics

Number of variables32
Number of observations203
Missing cells1839
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.6 KiB
Average record size in memory275.7 B

Variable types

Numeric8
Categorical8
Text6
Unsupported9
DateTime1

Dataset

Description6270000_대구광역시_11_46_01_P_민방위급수시설_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090844&dataSetDetailId=DDI_0000090855&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
인허가취소일자 has 203 (100.0%) missing valuesMissing
폐업일자 has 203 (100.0%) missing valuesMissing
휴업시작일자 has 203 (100.0%) missing valuesMissing
휴업종료일자 has 203 (100.0%) missing valuesMissing
재개업일자 has 203 (100.0%) missing valuesMissing
소재지전화 has 203 (100.0%) missing valuesMissing
소재지우편번호 has 203 (100.0%) missing valuesMissing
도로명우편번호 has 8 (3.9%) missing valuesMissing
업태구분명 has 203 (100.0%) missing valuesMissing
해제일자 has 203 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:04:12.613234
Analysis finished2023-12-10 19:04:13.460047
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102
Minimum1
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:13.557581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.1
Q151.5
median102
Q3152.5
95-th percentile192.9
Maximum203
Range202
Interquartile range (IQR)101

Descriptive statistics

Standard deviation58.745213
Coefficient of variation (CV)0.57593346
Kurtosis-1.2
Mean102
Median Absolute Deviation (MAD)51
Skewness0
Sum20706
Variance3451
MonotonicityStrictly increasing
2023-12-11T04:04:13.768746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
141 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
Other values (193) 193
95.1%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
민방위급수시설
203 

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 203
100.0%

Length

2023-12-11T04:04:13.967221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:14.119810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위급수시설 203
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
11_46_01_P
203 

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 203
100.0%

Length

2023-12-11T04:04:14.256174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:14.392390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_01_p 203
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450640.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:14.518167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21226.822
Coefficient of variation (CV)0.0061515601
Kurtosis-0.93580732
Mean3450640.4
Median Absolute Deviation (MAD)20000
Skewness-0.45788319
Sum7.0048 × 108
Variance4.5057796 × 108
MonotonicityIncreasing
2023-12-11T04:04:14.702054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 46
22.7%
3450000 43
21.2%
3460000 28
13.8%
3420000 23
11.3%
3480000 21
10.3%
3430000 17
 
8.4%
3410000 14
 
6.9%
3440000 11
 
5.4%
ValueCountFrequency (%)
3410000 14
 
6.9%
3420000 23
11.3%
3430000 17
 
8.4%
3440000 11
 
5.4%
3450000 43
21.2%
3460000 28
13.8%
3470000 46
22.7%
3480000 21
10.3%
ValueCountFrequency (%)
3480000 21
10.3%
3470000 46
22.7%
3460000 28
13.8%
3450000 43
21.2%
3440000 11
 
5.4%
3430000 17
 
8.4%
3420000 23
11.3%
3410000 14
 
6.9%

관리번호
Text

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T04:04:15.015666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters3654
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)100.0%

Sample

1st row3410000-E199700001
2nd row3410000-E200000001
3rd row3410000-E197600001
4th row3410000-E199900001
5th row3410000-E199500002
ValueCountFrequency (%)
3410000-e199700001 1
 
0.5%
3470000-e199500002 1
 
0.5%
3470000-e201300003 1
 
0.5%
3460000-e198100001 1
 
0.5%
3460000-e201400002 1
 
0.5%
3460000-e198200003 1
 
0.5%
3460000-e198800002 1
 
0.5%
3460000-e199200004 1
 
0.5%
3460000-e198800004 1
 
0.5%
3460000-e199300001 1
 
0.5%
Other values (193) 193
95.1%
2023-12-11T04:04:15.511392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1818
49.8%
3 269
 
7.4%
4 252
 
6.9%
1 251
 
6.9%
2 204
 
5.6%
- 203
 
5.6%
E 203
 
5.6%
9 175
 
4.8%
8 81
 
2.2%
7 75
 
2.1%
Other values (2) 123
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3248
88.9%
Dash Punctuation 203
 
5.6%
Uppercase Letter 203
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1818
56.0%
3 269
 
8.3%
4 252
 
7.8%
1 251
 
7.7%
2 204
 
6.3%
9 175
 
5.4%
8 81
 
2.5%
7 75
 
2.3%
5 70
 
2.2%
6 53
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3451
94.4%
Latin 203
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1818
52.7%
3 269
 
7.8%
4 252
 
7.3%
1 251
 
7.3%
2 204
 
5.9%
- 203
 
5.9%
9 175
 
5.1%
8 81
 
2.3%
7 75
 
2.2%
5 70
 
2.0%
Latin
ValueCountFrequency (%)
E 203
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1818
49.8%
3 269
 
7.4%
4 252
 
6.9%
1 251
 
6.9%
2 204
 
5.6%
- 203
 
5.6%
E 203
 
5.6%
9 175
 
4.8%
8 81
 
2.2%
7 75
 
2.1%
Other values (2) 123
 
3.4%

인허가일자
Real number (ℝ)

Distinct136
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20005870
Minimum19700430
Maximum20210310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:15.752654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700430
5-th percentile19821006
Q119920968
median20010102
Q320100422
95-th percentile20190502
Maximum20210310
Range509880
Interquartile range (IQR)179453

Descriptive statistics

Standard deviation116278.99
Coefficient of variation (CV)0.0058122435
Kurtosis-0.87577591
Mean20005870
Median Absolute Deviation (MAD)90018
Skewness-0.22264621
Sum4.0611916 × 109
Variance1.3520803 × 1010
MonotonicityNot monotonic
2023-12-11T04:04:15.998417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190523 8
 
3.9%
20100907 7
 
3.4%
20000530 7
 
3.4%
20120307 6
 
3.0%
20090217 5
 
2.5%
19821006 5
 
2.5%
20090206 4
 
2.0%
19970101 4
 
2.0%
20141212 3
 
1.5%
20010828 3
 
1.5%
Other values (126) 151
74.4%
ValueCountFrequency (%)
19700430 1
 
0.5%
19760101 1
 
0.5%
19781226 1
 
0.5%
19781228 1
 
0.5%
19801220 1
 
0.5%
19810808 1
 
0.5%
19810817 1
 
0.5%
19820104 1
 
0.5%
19820609 1
 
0.5%
19821006 5
2.5%
ValueCountFrequency (%)
20210310 1
 
0.5%
20200427 2
 
1.0%
20190523 8
3.9%
20190314 1
 
0.5%
20190219 1
 
0.5%
20181030 1
 
0.5%
20180521 1
 
0.5%
20180430 1
 
0.5%
20180427 1
 
0.5%
20171206 2
 
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
203 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 203
100.0%

Length

2023-12-11T04:04:16.231273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.407345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 203
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
203 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 203
100.0%

Length

2023-12-11T04:04:16.564301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:16.725369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 203
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
18
203 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 203
100.0%

Length

2023-12-11T04:04:16.877475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:17.019347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 203
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사용중
203 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 203
100.0%

Length

2023-12-11T04:04:17.176352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:17.324305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 203
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소재지면적
Real number (ℝ)

Distinct89
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.57635
Minimum20
Maximum1500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:17.483739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile80
Q1177.5
median280
Q3400
95-th percentile700
Maximum1500
Range1480
Interquartile range (IQR)222.5

Descriptive statistics

Standard deviation226.26898
Coefficient of variation (CV)0.70362443
Kurtosis5.7800381
Mean321.57635
Median Absolute Deviation (MAD)120
Skewness1.9224868
Sum65280
Variance51197.651
MonotonicityNot monotonic
2023-12-11T04:04:17.678158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 18
 
8.9%
300 16
 
7.9%
250 9
 
4.4%
500 9
 
4.4%
150 8
 
3.9%
400 7
 
3.4%
700 6
 
3.0%
320 5
 
2.5%
100 5
 
2.5%
210 5
 
2.5%
Other values (79) 115
56.7%
ValueCountFrequency (%)
20 1
0.5%
40 1
0.5%
45 1
0.5%
50 1
0.5%
60 1
0.5%
63 2
1.0%
70 1
0.5%
75 2
1.0%
80 2
1.0%
84 1
0.5%
ValueCountFrequency (%)
1500 1
 
0.5%
1350 1
 
0.5%
1200 1
 
0.5%
1000 1
 
0.5%
906 1
 
0.5%
900 1
 
0.5%
800 1
 
0.5%
706 1
 
0.5%
700 6
3.0%
670 1
 
0.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소재지전체주소
Text

Distinct189
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T04:04:18.200828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length21.147783
Min length17

Characters and Unicode

Total characters4293
Distinct characters119
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)86.7%

Sample

1st row대구광역시 중구 봉산동 230번지 1호
2nd row대구광역시 중구 동성로2가 166번지 1호
3rd row대구광역시 중구 태평로2가 1번지 1호
4th row대구광역시 중구 문화동 12번지 8호
5th row대구광역시 중구 남산동 2508번지 1호
ValueCountFrequency (%)
대구광역시 203
21.3%
달서구 46
 
4.8%
북구 43
 
4.5%
1호 38
 
4.0%
수성구 28
 
2.9%
동구 23
 
2.4%
2호 23
 
2.4%
달성군 21
 
2.2%
서구 17
 
1.8%
중구 14
 
1.5%
Other values (303) 498
52.2%
2023-12-11T04:04:18.998854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
755
17.6%
구 393
 
9.2%
대 220
 
5.1%
동 211
 
4.9%
지 208
 
4.8%
시 204
 
4.8%
광 203
 
4.7%
역 203
 
4.7%
번 202
 
4.7%
1 201
 
4.7%
Other values (109) 1493
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2716
63.3%
Decimal Number 821
 
19.1%
Space Separator 755
 
17.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%
Decimal Number
ValueCountFrequency (%)
1 201
24.5%
2 94
11.4%
3 88
10.7%
4 74
 
9.0%
5 70
 
8.5%
0 67
 
8.2%
8 61
 
7.4%
7 60
 
7.3%
6 59
 
7.2%
9 47
 
5.7%
Space Separator
ValueCountFrequency (%)
755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2716
63.3%
Common 1577
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%
Common
ValueCountFrequency (%)
755
47.9%
1 201
 
12.7%
2 94
 
6.0%
3 88
 
5.6%
4 74
 
4.7%
5 70
 
4.4%
0 67
 
4.2%
8 61
 
3.9%
7 60
 
3.8%
6 59
 
3.7%
Other values (2) 48
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2716
63.3%
ASCII 1577
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
755
47.9%
1 201
 
12.7%
2 94
 
6.0%
3 88
 
5.6%
4 74
 
4.7%
5 70
 
4.4%
0 67
 
4.2%
8 61
 
3.9%
7 60
 
3.8%
6 59
 
3.7%
Other values (2) 48
 
3.0%
Hangul
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%

도로명전체주소
Text

Distinct187
Distinct (%)93.0%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2023-12-11T04:04:19.554367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.422886
Min length21

Characters and Unicode

Total characters5512
Distinct characters248
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

Unique174 ?
Unique (%)86.6%

Sample

1st row대구광역시 중구 명륜로23길 16 (봉산동, 대구제일중학교)
2nd row대구광역시 중구 동성로 30 (동성로2가, 대구백화점건물)
3rd row대구광역시 중구 태평로 141 (태평로2가, 대구콘서트하우스)
4th row대구광역시 중구 동성로12길 16-1 (문화동, 궁전목욕탕)
5th row대구광역시 중구 남산로1길 42 (남산동, 남산4동주민센터)
ValueCountFrequency (%)
대구광역시 201
 
18.4%
달서구 46
 
4.2%
북구 41
 
3.7%
수성구 28
 
2.6%
동구 23
 
2.1%
달성군 21
 
1.9%
서구 17
 
1.6%
중구 14
 
1.3%
남구 11
 
1.0%
달구벌대로 8
 
0.7%
Other values (467) 684
62.5%
2023-12-11T04:04:20.296427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
895
 
16.2%
구 420
 
7.6%
대 270
 
4.9%
동 239
 
4.3%
시 208
 
3.8%
역 204
 
3.7%
광 202
 
3.7%
로 192
 
3.5%
) 181
 
3.3%
( 181
 
3.3%
Other values (238) 2520
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3488
63.3%
Space Separator 895
 
16.2%
Decimal Number 658
 
11.9%
Close Punctuation 181
 
3.3%
Open Punctuation 181
 
3.3%
Other Punctuation 86
 
1.6%
Dash Punctuation 23
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 420
 
12.0%
대 270
 
7.7%
동 239
 
6.9%
시 208
 
6.0%
역 204
 
5.8%
광 202
 
5.8%
로 192
 
5.5%
성 94
 
2.7%
서 91
 
2.6%
달 83
 
2.4%
Other values (223) 1485
42.6%
Decimal Number
ValueCountFrequency (%)
1 140
21.3%
2 100
15.2%
5 71
10.8%
3 62
9.4%
4 59
9.0%
0 58
8.8%
6 52
 
7.9%
9 44
 
6.7%
7 40
 
6.1%
8 32
 
4.9%
Space Separator
ValueCountFrequency (%)
895
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3488
63.3%
Common 2024
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 420
 
12.0%
대 270
 
7.7%
동 239
 
6.9%
시 208
 
6.0%
역 204
 
5.8%
광 202
 
5.8%
로 192
 
5.5%
성 94
 
2.7%
서 91
 
2.6%
달 83
 
2.4%
Other values (223) 1485
42.6%
Common
ValueCountFrequency (%)
895
44.2%
) 181
 
8.9%
( 181
 
8.9%
1 140
 
6.9%
2 100
 
4.9%
, 86
 
4.2%
5 71
 
3.5%
3 62
 
3.1%
4 59
 
2.9%
0 58
 
2.9%
Other values (5) 191
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3488
63.3%
ASCII 2024
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
895
44.2%
) 181
 
8.9%
( 181
 
8.9%
1 140
 
6.9%
2 100
 
4.9%
, 86
 
4.2%
5 71
 
3.5%
3 62
 
3.1%
4 59
 
2.9%
0 58
 
2.9%
Other values (5) 191
 
9.4%
Hangul
ValueCountFrequency (%)
구 420
 
12.0%
대 270
 
7.7%
동 239
 
6.9%
시 208
 
6.0%
역 204
 
5.8%
광 202
 
5.8%
로 192
 
5.5%
성 94
 
2.7%
서 91
 
2.6%
달 83
 
2.4%
Other values (223) 1485
42.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct165
Distinct (%)84.6%
Missing8
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean96380.923
Minimum41005
Maximum711813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:20.541480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41166
Q141540.5
median42111
Q342690.5
95-th percentile702279
Maximum711813
Range670808
Interquartile range (IQR)1150

Descriptive statistics

Standard deviation182138.46
Coefficient of variation (CV)1.8897771
Kurtosis7.4991371
Mean96380.923
Median Absolute Deviation (MAD)575
Skewness3.0695157
Sum18794280
Variance3.3174419 × 1010
MonotonicityNot monotonic
2023-12-11T04:04:20.900007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41451 3
 
1.5%
42610 3
 
1.5%
42111 2
 
1.0%
41052 2
 
1.0%
42669 2
 
1.0%
705811 2
 
1.0%
41569 2
 
1.0%
42699 2
 
1.0%
42804 2
 
1.0%
41717 2
 
1.0%
Other values (155) 173
85.2%
(Missing) 8
 
3.9%
ValueCountFrequency (%)
41005 1
0.5%
41052 2
1.0%
41091 1
0.5%
41099 1
0.5%
41100 1
0.5%
41107 1
0.5%
41124 1
0.5%
41147 1
0.5%
41166 2
1.0%
41173 1
0.5%
ValueCountFrequency (%)
711813 1
0.5%
706804 1
0.5%
705811 2
1.0%
705802 1
0.5%
705702 1
0.5%
704828 1
0.5%
703847 1
0.5%
702803 1
0.5%
702300 1
0.5%
702270 1
0.5%

사업장명
Text

Distinct201
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T04:04:21.371697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.7881773
Min length3

Characters and Unicode

Total characters1784
Distinct characters262
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

Unique199 ?
Unique (%)98.0%

Sample

1st row제일중학교
2nd row대구백화점
3rd row대구콘서트하우스
4th row궁전사우나
5th row남산어린이공원
ValueCountFrequency (%)
비상급수시설 28
 
9.9%
민방위 21
 
7.4%
우영펠리스 3
 
1.1%
정부지원 3
 
1.1%
장수탕 2
 
0.7%
목욕탕 2
 
0.7%
주)선샤인 2
 
0.7%
비슬산 2
 
0.7%
사우나 2
 
0.7%
대구광역시 2
 
0.7%
Other values (214) 216
76.3%
2023-12-11T04:04:21.935802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
4.5%
시 47
 
2.6%
수 46
 
2.6%
공 44
 
2.5%
원 42
 
2.4%
( 38
 
2.1%
) 38
 
2.1%
설 36
 
2.0%
비 36
 
2.0%
대 33
 
1.8%
Other values (252) 1344
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
88.0%
Space Separator 80
 
4.5%
Decimal Number 48
 
2.7%
Open Punctuation 38
 
2.1%
Close Punctuation 38
 
2.1%
Connector Punctuation 4
 
0.2%
Dash Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%
Decimal Number
ValueCountFrequency (%)
2 19
39.6%
1 17
35.4%
3 3
 
6.2%
5 3
 
6.2%
0 3
 
6.2%
4 1
 
2.1%
7 1
 
2.1%
8 1
 
2.1%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
88.0%
Common 212
 
11.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%
Common
ValueCountFrequency (%)
80
37.7%
( 38
17.9%
) 38
17.9%
2 19
 
9.0%
1 17
 
8.0%
_ 4
 
1.9%
- 4
 
1.9%
3 3
 
1.4%
5 3
 
1.4%
0 3
 
1.4%
Other values (3) 3
 
1.4%
Latin
ValueCountFrequency (%)
K 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
88.0%
ASCII 214
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
37.4%
( 38
17.8%
) 38
17.8%
2 19
 
8.9%
1 17
 
7.9%
_ 4
 
1.9%
- 4
 
1.9%
3 3
 
1.4%
5 3
 
1.4%
0 3
 
1.4%
Other values (4) 5
 
2.3%
Hangul
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0190508 × 1013
Minimum2.0170411 × 1013
Maximum2.0210702 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:22.188202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0170411 × 1013
5-th percentile2.0170418 × 1013
Q12.0180219 × 1013
median2.019062 × 1013
Q32.0200804 × 1013
95-th percentile2.0210499 × 1013
Maximum2.0210702 × 1013
Range4.0290952 × 1010
Interquartile range (IQR)2.0584985 × 1010

Descriptive statistics

Standard deviation1.311781 × 1010
Coefficient of variation (CV)0.00064970184
Kurtosis-1.0240112
Mean2.0190508 × 1013
Median Absolute Deviation (MAD)1.0186029 × 1010
Skewness-0.13638301
Sum4.098673 × 1015
Variance1.7207693 × 1020
MonotonicityNot monotonic
2023-12-11T04:04:22.426695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210526122420 1
 
0.5%
20190613161916 1
 
0.5%
20170412100921 1
 
0.5%
20190215104044 1
 
0.5%
20170412093711 1
 
0.5%
20210120103443 1
 
0.5%
20181106180906 1
 
0.5%
20170425131437 1
 
0.5%
20210106144449 1
 
0.5%
20190611134003 1
 
0.5%
Other values (193) 193
95.1%
ValueCountFrequency (%)
20170411151258 1
0.5%
20170412093151 1
0.5%
20170412093711 1
0.5%
20170412094547 1
0.5%
20170412095823 1
0.5%
20170412100802 1
0.5%
20170412100921 1
0.5%
20170414111859 1
0.5%
20170418091829 1
0.5%
20170418092008 1
0.5%
ValueCountFrequency (%)
20210702103318 1
0.5%
20210702103251 1
0.5%
20210623140257 1
0.5%
20210621101516 1
0.5%
20210614130137 1
0.5%
20210601135333 1
0.5%
20210526122521 1
0.5%
20210526122451 1
0.5%
20210526122420 1
0.5%
20210516110107 1
0.5%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
U
141 
I
62 

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 141
69.5%
I 62
30.5%

Length

2023-12-11T04:04:22.715329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:22.906439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 141
69.5%
i 62
30.5%

데이터갱신일자
Date

Distinct57
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-04 02:40:00
2023-12-11T04:04:23.120143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:04:23.345634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct187
Distinct (%)92.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean342165.39
Minimum328293.62
Maximum356191.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:23.595738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328293.62
5-th percentile333000
Q1338863.8
median341790.14
Q3345632.72
95-th percentile351144.23
Maximum356191.66
Range27898.032
Interquartile range (IQR)6768.9194

Descriptive statistics

Standard deviation5339.9314
Coefficient of variation (CV)0.015606287
Kurtosis0.054109929
Mean342165.39
Median Absolute Deviation (MAD)3515.026
Skewness-0.024484466
Sum69117409
Variance28514867
MonotonicityNot monotonic
2023-12-11T04:04:23.840791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339624.555053 3
 
1.5%
340513.242469 2
 
1.0%
334831.137829 2
 
1.0%
340987.35253 2
 
1.0%
348553.549695 2
 
1.0%
347950.194975 2
 
1.0%
344240.414301 2
 
1.0%
341036.277072 2
 
1.0%
328293.62359 2
 
1.0%
332490.28118 2
 
1.0%
Other values (177) 181
89.2%
ValueCountFrequency (%)
328293.62359 2
1.0%
329329.409219 1
0.5%
330342.686681 1
0.5%
330680.336773 1
0.5%
331001.179758 1
0.5%
331299.704438 1
0.5%
332127.138155 1
0.5%
332490.28118 2
1.0%
333000.0 2
1.0%
334461.497981 2
1.0%
ValueCountFrequency (%)
356191.655582 1
0.5%
354384.426573 1
0.5%
354090.430581 1
0.5%
353770.913943 1
0.5%
353740.640174 1
0.5%
353314.716201 1
0.5%
353290.431654 1
0.5%
353156.530464 1
0.5%
352985.740237 1
0.5%
351157.395283 2
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct187
Distinct (%)92.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean263639.44
Minimum238769.81
Maximum274814.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T04:04:24.048070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile256608.27
Q1261765.43
median263510.9
Q3266058.71
95-th percentile272386.44
Maximum274814.8
Range36044.991
Interquartile range (IQR)4293.2785

Descriptive statistics

Standard deviation5496.7327
Coefficient of variation (CV)0.020849432
Kurtosis4.9932279
Mean263639.44
Median Absolute Deviation (MAD)2176.7264
Skewness-1.3785599
Sum53255168
Variance30214071
MonotonicityNot monotonic
2023-12-11T04:04:24.657591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271354.946571 3
 
1.5%
272960.724753 2
 
1.0%
256605.694917 2
 
1.0%
272636.919043 2
 
1.0%
267319.115552 2
 
1.0%
265687.62574 2
 
1.0%
270166.254492 2
 
1.0%
272406.42694 2
 
1.0%
238769.812522 2
 
1.0%
263220.389909 2
 
1.0%
Other values (177) 181
89.2%
ValueCountFrequency (%)
238769.812522 2
1.0%
244719.0 2
1.0%
245205.925241 1
0.5%
248523.534088 1
0.5%
248675.595433 1
0.5%
253705.110911 1
0.5%
254351.635252 1
0.5%
256605.694917 2
1.0%
256657.291763 1
0.5%
257174.10619 1
0.5%
ValueCountFrequency (%)
274814.803071 1
0.5%
274152.151713 1
0.5%
274132.815179 1
0.5%
272960.724753 2
1.0%
272746.870177 1
0.5%
272636.919043 2
1.0%
272453.986313 1
0.5%
272406.42694 2
1.0%
272006.622232 1
0.5%
271954.872281 1
0.5%

비상시설위치
Text

Distinct189
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T04:04:25.348831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length21.147783
Min length17

Characters and Unicode

Total characters4293
Distinct characters119
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)86.7%

Sample

1st row대구광역시 중구 봉산동 230번지 1호
2nd row대구광역시 중구 동성로2가 166번지 1호
3rd row대구광역시 중구 태평로2가 1번지 1호
4th row대구광역시 중구 문화동 12번지 8호
5th row대구광역시 중구 남산동 2508번지 1호
ValueCountFrequency (%)
대구광역시 203
21.3%
달서구 46
 
4.8%
북구 43
 
4.5%
1호 38
 
4.0%
수성구 28
 
2.9%
동구 23
 
2.4%
2호 23
 
2.4%
달성군 21
 
2.2%
서구 17
 
1.8%
중구 14
 
1.5%
Other values (303) 498
52.2%
2023-12-11T04:04:26.241143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
755
17.6%
구 393
 
9.2%
대 220
 
5.1%
동 211
 
4.9%
지 208
 
4.8%
시 204
 
4.8%
광 203
 
4.7%
역 203
 
4.7%
번 202
 
4.7%
1 201
 
4.7%
Other values (109) 1493
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2716
63.3%
Decimal Number 821
 
19.1%
Space Separator 755
 
17.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%
Decimal Number
ValueCountFrequency (%)
1 201
24.5%
2 94
11.4%
3 88
10.7%
4 74
 
9.0%
5 70
 
8.5%
0 67
 
8.2%
8 61
 
7.4%
7 60
 
7.3%
6 59
 
7.2%
9 47
 
5.7%
Space Separator
ValueCountFrequency (%)
755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2716
63.3%
Common 1577
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%
Common
ValueCountFrequency (%)
755
47.9%
1 201
 
12.7%
2 94
 
6.0%
3 88
 
5.6%
4 74
 
4.7%
5 70
 
4.4%
0 67
 
4.2%
8 61
 
3.9%
7 60
 
3.8%
6 59
 
3.7%
Other values (2) 48
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2716
63.3%
ASCII 1577
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
755
47.9%
1 201
 
12.7%
2 94
 
6.0%
3 88
 
5.6%
4 74
 
4.7%
5 70
 
4.4%
0 67
 
4.2%
8 61
 
3.9%
7 60
 
3.8%
6 59
 
3.7%
Other values (2) 48
 
3.0%
Hangul
ValueCountFrequency (%)
구 393
14.5%
대 220
 
8.1%
동 211
 
7.8%
지 208
 
7.7%
시 204
 
7.5%
광 203
 
7.5%
역 203
 
7.5%
번 202
 
7.4%
호 134
 
4.9%
달 67
 
2.5%
Other values (97) 671
24.7%

시설구분명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
민간시설
100 
정부지원시설
58 
공공시설
23 
자치단체자체시설
22 

Length

Max length8
Median length4
Mean length5.0049261
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 100
49.3%
정부지원시설 58
28.6%
공공시설 23
 
11.3%
자치단체자체시설 22
 
10.8%

Length

2023-12-11T04:04:26.503451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:26.694767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 100
49.3%
정부지원시설 58
28.6%
공공시설 23
 
11.3%
자치단체자체시설 22
 
10.8%

시설명_건물명
Text

Distinct201
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T04:04:27.081134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.7881773
Min length3

Characters and Unicode

Total characters1784
Distinct characters262
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

Unique199 ?
Unique (%)98.0%

Sample

1st row제일중학교
2nd row대구백화점
3rd row대구콘서트하우스
4th row궁전사우나
5th row남산어린이공원
ValueCountFrequency (%)
비상급수시설 28
 
9.9%
민방위 21
 
7.4%
우영펠리스 3
 
1.1%
정부지원 3
 
1.1%
장수탕 2
 
0.7%
목욕탕 2
 
0.7%
주)선샤인 2
 
0.7%
비슬산 2
 
0.7%
사우나 2
 
0.7%
대구광역시 2
 
0.7%
Other values (214) 216
76.3%
2023-12-11T04:04:27.778853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
4.5%
시 47
 
2.6%
수 46
 
2.6%
공 44
 
2.5%
원 42
 
2.4%
( 38
 
2.1%
) 38
 
2.1%
설 36
 
2.0%
비 36
 
2.0%
대 33
 
1.8%
Other values (252) 1344
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
88.0%
Space Separator 80
 
4.5%
Decimal Number 48
 
2.7%
Open Punctuation 38
 
2.1%
Close Punctuation 38
 
2.1%
Connector Punctuation 4
 
0.2%
Dash Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%
Decimal Number
ValueCountFrequency (%)
2 19
39.6%
1 17
35.4%
3 3
 
6.2%
5 3
 
6.2%
0 3
 
6.2%
4 1
 
2.1%
7 1
 
2.1%
8 1
 
2.1%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
88.0%
Common 212
 
11.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%
Common
ValueCountFrequency (%)
80
37.7%
( 38
17.9%
) 38
17.9%
2 19
 
9.0%
1 17
 
8.0%
_ 4
 
1.9%
- 4
 
1.9%
3 3
 
1.4%
5 3
 
1.4%
0 3
 
1.4%
Other values (3) 3
 
1.4%
Latin
ValueCountFrequency (%)
K 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
88.0%
ASCII 214
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
37.4%
( 38
17.8%
) 38
17.8%
2 19
 
8.9%
1 17
 
7.9%
_ 4
 
1.9%
- 4
 
1.9%
3 3
 
1.4%
5 3
 
1.4%
0 3
 
1.4%
Other values (4) 5
 
2.3%
Hangul
ValueCountFrequency (%)
시 47
 
3.0%
수 46
 
2.9%
공 44
 
2.8%
원 42
 
2.7%
설 36
 
2.3%
비 36
 
2.3%
대 33
 
2.1%
상 33
 
2.1%
급 32
 
2.0%
스 29
 
1.8%
Other values (238) 1192
75.9%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
01민방위급수시설11_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>
12민방위급수시설11_46_01_P34100003410000-E20000000119870501<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>280<NA>대구광역시 중구 동성로2가 166번지 1호대구광역시 중구 동성로 30 (동성로2가, 대구백화점건물)41938대구백화점20210526122521U2021-05-28 02:40:00.0<NA>344047.979265264405.128696대구광역시 중구 동성로2가 166번지 1호민간시설대구백화점<NA>
23민방위급수시설11_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>
34민방위급수시설11_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>
45민방위급수시설11_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>
56민방위급수시설11_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>
67민방위급수시설11_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>
78민방위급수시설11_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>
89민방위급수시설11_46_01_P34100003410000-E19910000219880101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>132<NA>대구광역시 중구 대신동 115번지 5호대구광역시 중구 국채보상로 458 (대신동, 서남볼링)41926서남빌딩20210516110107U2021-05-18 02:40:00.0<NA>342714.834681264487.841783대구광역시 중구 대신동 115번지 5호민간시설서남빌딩<NA>
910민방위급수시설11_46_01_P34100003410000-E19760000219760101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200<NA>대구광역시 중구 향촌동 16번지대구광역시 중구 북성로 106-6 (향촌동, 뉴대구호텔)41918갤러리호텔20180105112319I2018-08-31 23:59:59.0<NA>343880.629259264937.042894대구광역시 중구 향촌동 16번지민간시설갤러리호텔<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
193194민방위급수시설11_46_01_P34800003480000-E19980000319981208<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>310<NA>대구광역시 달성군 다사읍 87번지대구광역시 달성군 다사읍 서재로 141711813민간시설(서재목욕탕)20190605135128U2019-06-07 02:40:00.0<NA>335117.130093265028.48952대구광역시 달성군 다사읍 87번지민간시설민간시설(서재목욕탕)<NA>
194195민방위급수시설11_46_01_P34800003480000-E19910000119910107<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>대구광역시 달성군 논공읍 북리 824번지 21호대구광역시 달성군 논공읍 용호로1길 5<NA>대영사우나20190107142032U2019-01-09 02:40:00.0<NA>330680.336773248523.534088대구광역시 달성군 논공읍 북리 824번지 21호민간시설대영사우나<NA>
195196민방위급수시설11_46_01_P34800003480000-E19940000119940107<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120<NA>대구광역시 달성군 가창면 480번지 3호대구광역시 달성군 가창면 가창로 73742938민간시설(대림생수)20190828100009U2019-08-30 02:40:00.0<NA>348583.673144254351.635252대구광역시 달성군 가창면 480번지 3호민간시설민간시설(대림생수)<NA>
196197민방위급수시설11_46_01_P34800003480000-E20110000220111116<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>285<NA>대구광역시 달성군 다사읍 209번지대구광역시 달성군 다사읍 죽곡1길 16-642918휴림원 목욕탕20190605135425U2019-06-07 02:40:00.0<NA>332127.138155262907.017593대구광역시 달성군 다사읍 209번지민간시설휴림원 목욕탕<NA>
197198민방위급수시설11_46_01_P34800003480000-E20140000120140205<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>대구광역시 달성군 화원읍 233번지 7호대구광역시 달성군 화원읍 화원로7길 6942954청수목욕탕20190605135513U2019-06-07 02:40:00.0<NA>335132.554078257174.10619대구광역시 달성군 화원읍 233번지 7호민간시설청수목욕탕<NA>
198199민방위급수시설11_46_01_P34800003480000-E19970000319970101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>300<NA>대구광역시 달성군 논공읍 북리 1번지 36호대구광역시 달성군 논공읍 논공로 697-1042981정부지원 민방위 비상급수시설(군민운동장내)20190107141712U2019-01-09 02:40:00.0<NA>331001.179758248675.595433대구광역시 달성군 논공읍 북리 1번지 36호정부지원시설정부지원 민방위 비상급수시설(군민운동장내)<NA>
199200민방위급수시설11_46_01_P34800003480000-E19980000219981226<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>250<NA>대구광역시 달성군 다사읍 매곡리 885번지 1호대구광역시 달성군 다사읍 매곡로 7-0<NA>정부지원 비상급수시설(다사읍사무소내)20190107141826U2019-01-09 02:40:00.0<NA>331299.704438263394.691985대구광역시 달성군 다사읍 매곡리 885번지 1호정부지원시설정부지원 비상급수시설(다사읍사무소내)<NA>
200201민방위급수시설11_46_01_P34800003480000-E20110000120111116<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>492<NA>대구광역시 달성군 논공읍 금포리 1313번지대구광역시 달성군 논공읍 달성군청로 33<NA>대구광역시 달성군청20201214171131U2020-12-16 02:40:00.0<NA>329329.409219253705.110911대구광역시 달성군 논공읍 금포리 1313번지공공시설대구광역시 달성군청<NA>
201202민방위급수시설11_46_01_P34800003480000-E20170000120171206<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>360<NA>대구광역시 달성군 다사읍 1549번지 2호대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)선샤인 스포츠120190107142315U2019-01-09 02:40:00.0<NA>332490.28118263220.389909대구광역시 달성군 다사읍 1549번지 2호민간시설(주)선샤인 스포츠1<NA>
202203민방위급수시설11_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>