Overview

Dataset statistics

Number of variables47
Number of observations3240
Missing cells34178
Missing cells (%)22.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory406.0 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년03월_6270000_대구광역시_07_21_02_P_집단급식소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092847&dataSetDetailId=DDI_0000092870&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
남성종사자수 is highly imbalanced (61.0%)Imbalance
여성종사자수 is highly imbalanced (61.0%)Imbalance
급수시설구분명 is highly imbalanced (61.7%)Imbalance
총종업원수 is highly imbalanced (61.0%)Imbalance
공장사무직종업원수 is highly imbalanced (61.0%)Imbalance
공장판매직종업원수 is highly imbalanced (61.0%)Imbalance
공장생산직종업원수 is highly imbalanced (61.0%)Imbalance
건물소유구분명 is highly imbalanced (75.4%)Imbalance
다중이용업소여부 is highly imbalanced (98.9%)Imbalance
인허가취소일자 has 3240 (100.0%) missing valuesMissing
폐업일자 has 1857 (57.3%) missing valuesMissing
휴업시작일자 has 3240 (100.0%) missing valuesMissing
휴업종료일자 has 3240 (100.0%) missing valuesMissing
재개업일자 has 3240 (100.0%) missing valuesMissing
소재지전화 has 470 (14.5%) missing valuesMissing
소재지면적 has 496 (15.3%) missing valuesMissing
소재지우편번호 has 86 (2.7%) missing valuesMissing
도로명전체주소 has 398 (12.3%) missing valuesMissing
도로명우편번호 has 409 (12.6%) missing valuesMissing
좌표정보(X) has 84 (2.6%) missing valuesMissing
좌표정보(Y) has 84 (2.6%) missing valuesMissing
영업장주변구분명 has 3240 (100.0%) missing valuesMissing
등급구분명 has 3240 (100.0%) missing valuesMissing
본사종업원수 has 1132 (34.9%) missing valuesMissing
전통업소지정번호 has 3240 (100.0%) missing valuesMissing
전통업소주된음식 has 3240 (100.0%) missing valuesMissing
홈페이지 has 3240 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 has 1888 (58.3%) zerosZeros
시설총규모 has 659 (20.3%) zerosZeros

Reproduction

Analysis started2024-04-21 03:15:15.666803
Analysis finished2024-04-21 03:15:17.750902
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1620.5
Minimum1
Maximum3240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:17.934438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile162.95
Q1810.75
median1620.5
Q32430.25
95-th percentile3078.05
Maximum3240
Range3239
Interquartile range (IQR)1619.5

Descriptive statistics

Standard deviation935.45176
Coefficient of variation (CV)0.57726119
Kurtosis-1.2
Mean1620.5
Median Absolute Deviation (MAD)810
Skewness0
Sum5250420
Variance875070
MonotonicityStrictly increasing
2024-04-21T12:15:18.277352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2165 1
 
< 0.1%
2155 1
 
< 0.1%
2156 1
 
< 0.1%
2157 1
 
< 0.1%
2158 1
 
< 0.1%
2159 1
 
< 0.1%
2160 1
 
< 0.1%
2161 1
 
< 0.1%
2162 1
 
< 0.1%
Other values (3230) 3230
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3240 1
< 0.1%
3239 1
< 0.1%
3238 1
< 0.1%
3237 1
< 0.1%
3236 1
< 0.1%
3235 1
< 0.1%
3234 1
< 0.1%
3233 1
< 0.1%
3232 1
< 0.1%
3231 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
집단급식소
3240 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 3240
100.0%

Length

2024-04-21T12:15:18.513928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:18.673642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 3240
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
07_21_02_P
3240 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_21_02_P
2nd row07_21_02_P
3rd row07_21_02_P
4th row07_21_02_P
5th row07_21_02_P

Common Values

ValueCountFrequency (%)
07_21_02_P 3240
100.0%

Length

2024-04-21T12:15:18.840504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:19.140350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_21_02_p 3240
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453265.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:19.283422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21317.023
Coefficient of variation (CV)0.0061730045
Kurtosis-0.97176303
Mean3453265.4
Median Absolute Deviation (MAD)10000
Skewness-0.49972719
Sum1.118858 × 1010
Variance4.5441548 × 108
MonotonicityIncreasing
2024-04-21T12:15:19.524050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 779
24.0%
3450000 559
17.3%
3480000 509
15.7%
3460000 414
12.8%
3420000 401
12.4%
3430000 267
 
8.2%
3440000 180
 
5.6%
3410000 131
 
4.0%
ValueCountFrequency (%)
3410000 131
 
4.0%
3420000 401
12.4%
3430000 267
 
8.2%
3440000 180
 
5.6%
3450000 559
17.3%
3460000 414
12.8%
3470000 779
24.0%
3480000 509
15.7%
ValueCountFrequency (%)
3480000 509
15.7%
3470000 779
24.0%
3460000 414
12.8%
3450000 559
17.3%
3440000 180
 
5.6%
3430000 267
 
8.2%
3420000 401
12.4%
3410000 131
 
4.0%

관리번호
Text

UNIQUE 

Distinct3240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T12:15:20.267618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters71280
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

Unique3240 ?
Unique (%)100.0%

Sample

1st row3410000-105-2017-00002
2nd row3410000-105-2017-00004
3rd row3410000-105-2017-00006
4th row3410000-105-2017-00001
5th row3410000-105-2017-00003
ValueCountFrequency (%)
3410000-105-2017-00002 1
 
< 0.1%
3470000-105-2005-00085 1
 
< 0.1%
3470000-105-2004-00010 1
 
< 0.1%
3470000-105-2004-00005 1
 
< 0.1%
3470000-105-2014-00020 1
 
< 0.1%
3470000-105-2004-00007 1
 
< 0.1%
3470000-105-2004-00008 1
 
< 0.1%
3470000-105-2005-00071 1
 
< 0.1%
3470000-105-2005-00081 1
 
< 0.1%
3470000-105-2005-00075 1
 
< 0.1%
Other values (3230) 3230
99.7%
2024-04-21T12:15:21.382319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32021
44.9%
- 9720
 
13.6%
1 6763
 
9.5%
5 4713
 
6.6%
2 4545
 
6.4%
3 4372
 
6.1%
4 4090
 
5.7%
9 1464
 
2.1%
7 1445
 
2.0%
6 1100
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61560
86.4%
Dash Punctuation 9720
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32021
52.0%
1 6763
 
11.0%
5 4713
 
7.7%
2 4545
 
7.4%
3 4372
 
7.1%
4 4090
 
6.6%
9 1464
 
2.4%
7 1445
 
2.3%
6 1100
 
1.8%
8 1047
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 9720
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32021
44.9%
- 9720
 
13.6%
1 6763
 
9.5%
5 4713
 
6.6%
2 4545
 
6.4%
3 4372
 
6.1%
4 4090
 
5.7%
9 1464
 
2.1%
7 1445
 
2.0%
6 1100
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32021
44.9%
- 9720
 
13.6%
1 6763
 
9.5%
5 4713
 
6.6%
2 4545
 
6.4%
3 4372
 
6.1%
4 4090
 
5.7%
9 1464
 
2.1%
7 1445
 
2.0%
6 1100
 
1.5%

인허가일자
Real number (ℝ)

Distinct2267
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20088727
Minimum19600525
Maximum20220401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:21.794497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19600525
5-th percentile19951127
Q120050601
median20090925
Q320150714
95-th percentile20200718
Maximum20220401
Range619876
Interquartile range (IQR)100113.25

Descriptive statistics

Standard deviation80021.416
Coefficient of variation (CV)0.003983399
Kurtosis1.1602096
Mean20088727
Median Absolute Deviation (MAD)50764.5
Skewness-0.73513637
Sum6.5087477 × 1010
Variance6.4034271 × 109
MonotonicityNot monotonic
2024-04-21T12:15:22.244384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050810 25
 
0.8%
19900330 20
 
0.6%
19970713 18
 
0.6%
20051229 12
 
0.4%
20050819 12
 
0.4%
20051228 11
 
0.3%
20050831 11
 
0.3%
20051230 10
 
0.3%
20050826 10
 
0.3%
20051206 9
 
0.3%
Other values (2257) 3102
95.7%
ValueCountFrequency (%)
19600525 1
< 0.1%
19620813 1
< 0.1%
19680405 1
< 0.1%
19700504 1
< 0.1%
19750916 1
< 0.1%
19760407 1
< 0.1%
19760830 1
< 0.1%
19770309 1
< 0.1%
19780423 1
< 0.1%
19791203 1
< 0.1%
ValueCountFrequency (%)
20220401 1
< 0.1%
20220329 1
< 0.1%
20220323 1
< 0.1%
20220318 2
0.1%
20220310 2
0.1%
20220308 1
< 0.1%
20220304 1
< 0.1%
20220303 1
< 0.1%
20220302 2
0.1%
20220228 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
1
1857 
3
1383 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1857
57.3%
3 1383
42.7%

Length

2024-04-21T12:15:22.663993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:22.975202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1857
57.3%
3 1383
42.7%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
영업/정상
1857 
폐업
1383 

Length

Max length5
Median length5
Mean length3.7194444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1857
57.3%
폐업 1383
42.7%

Length

2024-04-21T12:15:23.335577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:23.664432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1857
57.3%
폐업 1383
42.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
1
1857 
2
1383 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1857
57.3%
2 1383
42.7%

Length

2024-04-21T12:15:24.000454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:24.311719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1857
57.3%
2 1383
42.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
영업
1857 
폐업
1383 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 1857
57.3%
폐업 1383
42.7%

Length

2024-04-21T12:15:24.642847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:24.951080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 1857
57.3%
폐업 1383
42.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct1092
Distinct (%)79.0%
Missing1857
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean20147627
Minimum20010711
Maximum20220401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:25.293552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010711
5-th percentile20050707
Q120111222
median20160307
Q320190322
95-th percentile20210525
Maximum20220401
Range209690
Interquartile range (IQR)79099.5

Descriptive statistics

Standard deviation49629.812
Coefficient of variation (CV)0.0024633081
Kurtosis-0.49716581
Mean20147627
Median Absolute Deviation (MAD)30709
Skewness-0.65448276
Sum2.7864168 × 1010
Variance2.4631182 × 109
MonotonicityNot monotonic
2024-04-21T12:15:25.717695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200708 6
 
0.2%
20190531 5
 
0.2%
20190805 4
 
0.1%
20160307 4
 
0.1%
20030411 4
 
0.1%
20181224 3
 
0.1%
20180104 3
 
0.1%
20140304 3
 
0.1%
20150422 3
 
0.1%
20150227 3
 
0.1%
Other values (1082) 1345
41.5%
(Missing) 1857
57.3%
ValueCountFrequency (%)
20010711 1
 
< 0.1%
20011231 1
 
< 0.1%
20020425 1
 
< 0.1%
20020912 1
 
< 0.1%
20021121 1
 
< 0.1%
20021231 2
0.1%
20030207 1
 
< 0.1%
20030402 1
 
< 0.1%
20030408 1
 
< 0.1%
20030411 4
0.1%
ValueCountFrequency (%)
20220401 1
 
< 0.1%
20220322 2
0.1%
20220317 3
0.1%
20220315 1
 
< 0.1%
20220314 1
 
< 0.1%
20220310 1
 
< 0.1%
20220307 2
0.1%
20220303 1
 
< 0.1%
20220302 2
0.1%
20220228 3
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

소재지전화
Text

MISSING 

Distinct2571
Distinct (%)92.8%
Missing470
Missing (%)14.5%
Memory size25.4 KiB
2024-04-21T12:15:27.005033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.296751
Min length7

Characters and Unicode

Total characters31292
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

Unique2406 ?
Unique (%)86.9%

Sample

1st row0532525234
2nd row053 2530130
3rd row053 2553237
4th row053 4201197
5th row053 200 6965
ValueCountFrequency (%)
053 2406
37.4%
235 32
 
0.5%
615 25
 
0.4%
232 19
 
0.3%
233 18
 
0.3%
617 16
 
0.2%
267 14
 
0.2%
961 14
 
0.2%
586 14
 
0.2%
583 14
 
0.2%
Other values (2624) 3859
60.0%
2024-04-21T12:15:28.440343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5297
16.9%
5 5024
16.1%
3 4728
15.1%
3875
12.4%
1 2197
7.0%
2 2191
7.0%
6 2027
 
6.5%
7 1814
 
5.8%
8 1392
 
4.4%
4 1387
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27417
87.6%
Space Separator 3875
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5297
19.3%
5 5024
18.3%
3 4728
17.2%
1 2197
8.0%
2 2191
8.0%
6 2027
 
7.4%
7 1814
 
6.6%
8 1392
 
5.1%
4 1387
 
5.1%
9 1360
 
5.0%
Space Separator
ValueCountFrequency (%)
3875
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5297
16.9%
5 5024
16.1%
3 4728
15.1%
3875
12.4%
1 2197
7.0%
2 2191
7.0%
6 2027
 
6.5%
7 1814
 
5.8%
8 1392
 
4.4%
4 1387
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5297
16.9%
5 5024
16.1%
3 4728
15.1%
3875
12.4%
1 2197
7.0%
2 2191
7.0%
6 2027
 
6.5%
7 1814
 
5.8%
8 1392
 
4.4%
4 1387
 
4.4%

소재지면적
Text

MISSING 

Distinct1794
Distinct (%)65.4%
Missing496
Missing (%)15.3%
Memory size25.4 KiB
2024-04-21T12:15:29.530149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.1975219
Min length3

Characters and Unicode

Total characters14262
Distinct characters12
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

Unique1396 ?
Unique (%)50.9%

Sample

1st row44.10
2nd row19.30
3rd row315.28
4th row11.27
5th row138.64
ValueCountFrequency (%)
00 176
 
6.4%
20.00 27
 
1.0%
15.00 23
 
0.8%
16.00 14
 
0.5%
12.00 14
 
0.5%
10.00 12
 
0.4%
13.00 11
 
0.4%
16.50 11
 
0.4%
8.10 10
 
0.4%
1.00 10
 
0.4%
Other values (1784) 2436
88.8%
2024-04-21T12:15:30.904053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2828
19.8%
. 2744
19.2%
1 1698
11.9%
2 1263
8.9%
5 912
 
6.4%
3 899
 
6.3%
6 851
 
6.0%
4 848
 
5.9%
8 811
 
5.7%
7 697
 
4.9%
Other values (2) 711
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11482
80.5%
Other Punctuation 2780
 
19.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2828
24.6%
1 1698
14.8%
2 1263
11.0%
5 912
 
7.9%
3 899
 
7.8%
6 851
 
7.4%
4 848
 
7.4%
8 811
 
7.1%
7 697
 
6.1%
9 675
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2744
98.7%
, 36
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 14262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2828
19.8%
. 2744
19.2%
1 1698
11.9%
2 1263
8.9%
5 912
 
6.4%
3 899
 
6.3%
6 851
 
6.0%
4 848
 
5.9%
8 811
 
5.7%
7 697
 
4.9%
Other values (2) 711
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2828
19.8%
. 2744
19.2%
1 1698
11.9%
2 1263
8.9%
5 912
 
6.4%
3 899
 
6.3%
6 851
 
6.0%
4 848
 
5.9%
8 811
 
5.7%
7 697
 
4.9%
Other values (2) 711
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct529
Distinct (%)16.8%
Missing86
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean705017.18
Minimum700030
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:31.171908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700030
5-th percentile701170
Q1702833.5
median704808
Q3706170
95-th percentile711852
Maximum711893
Range11863
Interquartile range (IQR)3336.5

Descriptive statistics

Standard deviation3166.1428
Coefficient of variation (CV)0.0044908733
Kurtosis0.30380421
Mean705017.18
Median Absolute Deviation (MAD)1963
Skewness1.0261216
Sum2.2236242 × 109
Variance10024461
MonotonicityNot monotonic
2024-04-21T12:15:31.445230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711852 56
 
1.7%
711812 42
 
1.3%
704080 34
 
1.0%
704801 34
 
1.0%
711891 33
 
1.0%
704837 32
 
1.0%
703825 31
 
1.0%
704900 31
 
1.0%
711855 31
 
1.0%
704830 29
 
0.9%
Other values (519) 2801
86.5%
(Missing) 86
 
2.7%
ValueCountFrequency (%)
700030 1
 
< 0.1%
700040 1
 
< 0.1%
700060 1
 
< 0.1%
700070 3
0.1%
700082 1
 
< 0.1%
700092 4
0.1%
700111 1
 
< 0.1%
700113 5
0.2%
700160 3
0.1%
700180 2
 
0.1%
ValueCountFrequency (%)
711893 8
 
0.2%
711892 9
 
0.3%
711891 33
1.0%
711874 1
 
< 0.1%
711873 19
0.6%
711872 2
 
0.1%
711871 2
 
0.1%
711864 19
0.6%
711863 7
 
0.2%
711861 3
 
0.1%
Distinct2906
Distinct (%)89.7%
Missing2
Missing (%)0.1%
Memory size25.4 KiB
2024-04-21T12:15:32.656223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length24.39407
Min length16

Characters and Unicode

Total characters78988
Distinct characters389
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2636 ?
Unique (%)81.4%

Sample

1st row대구광역시 중구 남산동 0225-0001번지
2nd row대구광역시 중구 삼덕동3가 0383번지 지상1층
3rd row대구광역시 중구 남산동 3006번지 반월당효성해링턴플레이스 301동 지하2층
4th row대구광역시 중구 남산동 0941-0001
5th row대구광역시 중구 태평로3가 0171-0001번지 지상6층
ValueCountFrequency (%)
대구광역시 3243
 
21.7%
달서구 779
 
5.2%
북구 559
 
3.7%
달성군 509
 
3.4%
수성구 413
 
2.8%
동구 401
 
2.7%
서구 267
 
1.8%
남구 181
 
1.2%
중구 131
 
0.9%
대명동 120
 
0.8%
Other values (3415) 8351
55.8%
2024-04-21T12:15:34.118944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14939
18.9%
6162
 
7.8%
3612
 
4.6%
3511
 
4.4%
1 3404
 
4.3%
3296
 
4.2%
3259
 
4.1%
3252
 
4.1%
2947
 
3.7%
0 2755
 
3.5%
Other values (379) 31851
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45274
57.3%
Decimal Number 15862
 
20.1%
Space Separator 14939
 
18.9%
Dash Punctuation 2128
 
2.7%
Open Punctuation 289
 
0.4%
Close Punctuation 289
 
0.4%
Uppercase Letter 138
 
0.2%
Other Punctuation 59
 
0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6162
13.6%
3612
 
8.0%
3511
 
7.8%
3296
 
7.3%
3259
 
7.2%
3252
 
7.2%
2947
 
6.5%
2270
 
5.0%
1301
 
2.9%
1192
 
2.6%
Other values (336) 14472
32.0%
Uppercase Letter
ValueCountFrequency (%)
B 31
22.5%
A 31
22.5%
S 9
 
6.5%
L 9
 
6.5%
C 7
 
5.1%
K 7
 
5.1%
H 6
 
4.3%
D 6
 
4.3%
I 5
 
3.6%
G 5
 
3.6%
Other values (10) 22
15.9%
Decimal Number
ValueCountFrequency (%)
1 3404
21.5%
0 2755
17.4%
2 1812
11.4%
3 1504
9.5%
4 1250
 
7.9%
5 1204
 
7.6%
6 1033
 
6.5%
7 1009
 
6.4%
8 1006
 
6.3%
9 885
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 40
67.8%
. 14
 
23.7%
· 3
 
5.1%
@ 1
 
1.7%
& 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
c 2
25.0%
h 2
25.0%
Space Separator
ValueCountFrequency (%)
14939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45274
57.3%
Common 33568
42.5%
Latin 146
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6162
13.6%
3612
 
8.0%
3511
 
7.8%
3296
 
7.3%
3259
 
7.2%
3252
 
7.2%
2947
 
6.5%
2270
 
5.0%
1301
 
2.9%
1192
 
2.6%
Other values (336) 14472
32.0%
Latin
ValueCountFrequency (%)
B 31
21.2%
A 31
21.2%
S 9
 
6.2%
L 9
 
6.2%
C 7
 
4.8%
K 7
 
4.8%
H 6
 
4.1%
D 6
 
4.1%
I 5
 
3.4%
G 5
 
3.4%
Other values (13) 30
20.5%
Common
ValueCountFrequency (%)
14939
44.5%
1 3404
 
10.1%
0 2755
 
8.2%
- 2128
 
6.3%
2 1812
 
5.4%
3 1504
 
4.5%
4 1250
 
3.7%
5 1204
 
3.6%
6 1033
 
3.1%
7 1009
 
3.0%
Other values (10) 2530
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45274
57.3%
ASCII 33711
42.7%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14939
44.3%
1 3404
 
10.1%
0 2755
 
8.2%
- 2128
 
6.3%
2 1812
 
5.4%
3 1504
 
4.5%
4 1250
 
3.7%
5 1204
 
3.6%
6 1033
 
3.1%
7 1009
 
3.0%
Other values (32) 2673
 
7.9%
Hangul
ValueCountFrequency (%)
6162
13.6%
3612
 
8.0%
3511
 
7.8%
3296
 
7.3%
3259
 
7.2%
3252
 
7.2%
2947
 
6.5%
2270
 
5.0%
1301
 
2.9%
1192
 
2.6%
Other values (336) 14472
32.0%
None
ValueCountFrequency (%)
· 3
100.0%

도로명전체주소
Text

MISSING 

Distinct2552
Distinct (%)89.8%
Missing398
Missing (%)12.3%
Memory size25.4 KiB
2024-04-21T12:15:35.536249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length28.213934
Min length19

Characters and Unicode

Total characters80184
Distinct characters418
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2309 ?
Unique (%)81.2%

Sample

1st row대구광역시 중구 남산로4길 112 (남산동)
2nd row대구광역시 중구 달구벌대로447길 77 (삼덕동3가, 지상1층)
3rd row대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스 301동 지하2층)
4th row대구광역시 중구 관덕정길 16 (남산동)
5th row대구광역시 중구 태평로 39, 6층 (태평로3가)
ValueCountFrequency (%)
대구광역시 2846
 
17.7%
달서구 655
 
4.1%
북구 501
 
3.1%
달성군 471
 
2.9%
수성구 368
 
2.3%
동구 347
 
2.2%
1층 321
 
2.0%
서구 221
 
1.4%
남구 167
 
1.0%
다사읍 115
 
0.7%
Other values (2815) 10040
62.5%
2024-04-21T12:15:37.364438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13212
 
16.5%
5670
 
7.1%
3705
 
4.6%
3477
 
4.3%
2922
 
3.6%
2885
 
3.6%
2854
 
3.6%
1 2770
 
3.5%
2731
 
3.4%
) 2652
 
3.3%
Other values (408) 37306
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48006
59.9%
Space Separator 13212
 
16.5%
Decimal Number 11569
 
14.4%
Close Punctuation 2652
 
3.3%
Open Punctuation 2652
 
3.3%
Other Punctuation 1472
 
1.8%
Dash Punctuation 442
 
0.6%
Uppercase Letter 167
 
0.2%
Lowercase Letter 10
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5670
 
11.8%
3705
 
7.7%
3477
 
7.2%
2922
 
6.1%
2885
 
6.0%
2854
 
5.9%
2731
 
5.7%
1420
 
3.0%
1367
 
2.8%
1316
 
2.7%
Other values (363) 19659
41.0%
Uppercase Letter
ValueCountFrequency (%)
A 43
25.7%
B 36
21.6%
C 13
 
7.8%
L 9
 
5.4%
H 9
 
5.4%
S 9
 
5.4%
G 7
 
4.2%
K 7
 
4.2%
D 6
 
3.6%
E 6
 
3.6%
Other values (10) 22
13.2%
Decimal Number
ValueCountFrequency (%)
1 2770
23.9%
2 1696
14.7%
3 1380
11.9%
5 1035
 
8.9%
0 958
 
8.3%
4 952
 
8.2%
7 773
 
6.7%
6 744
 
6.4%
9 638
 
5.5%
8 623
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 1465
99.5%
. 3
 
0.2%
· 2
 
0.1%
& 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
c 2
20.0%
h 2
20.0%
k 1
 
10.0%
t 1
 
10.0%
Space Separator
ValueCountFrequency (%)
13212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2652
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2652
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 442
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48006
59.9%
Common 32001
39.9%
Latin 177
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5670
 
11.8%
3705
 
7.7%
3477
 
7.2%
2922
 
6.1%
2885
 
6.0%
2854
 
5.9%
2731
 
5.7%
1420
 
3.0%
1367
 
2.8%
1316
 
2.7%
Other values (363) 19659
41.0%
Latin
ValueCountFrequency (%)
A 43
24.3%
B 36
20.3%
C 13
 
7.3%
L 9
 
5.1%
H 9
 
5.1%
S 9
 
5.1%
G 7
 
4.0%
K 7
 
4.0%
D 6
 
3.4%
E 6
 
3.4%
Other values (15) 32
18.1%
Common
ValueCountFrequency (%)
13212
41.3%
1 2770
 
8.7%
) 2652
 
8.3%
( 2652
 
8.3%
2 1696
 
5.3%
, 1465
 
4.6%
3 1380
 
4.3%
5 1035
 
3.2%
0 958
 
3.0%
4 952
 
3.0%
Other values (10) 3229
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48006
59.9%
ASCII 32176
40.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13212
41.1%
1 2770
 
8.6%
) 2652
 
8.2%
( 2652
 
8.2%
2 1696
 
5.3%
, 1465
 
4.6%
3 1380
 
4.3%
5 1035
 
3.2%
0 958
 
3.0%
4 952
 
3.0%
Other values (34) 3404
 
10.6%
Hangul
ValueCountFrequency (%)
5670
 
11.8%
3705
 
7.7%
3477
 
7.2%
2922
 
6.1%
2885
 
6.0%
2854
 
5.9%
2731
 
5.7%
1420
 
3.0%
1367
 
2.8%
1316
 
2.7%
Other values (363) 19659
41.0%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct963
Distinct (%)34.0%
Missing409
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean42155.513
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:37.782099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41089
Q141542
median42189
Q342736
95-th percentile42986
Maximum43024
Range2024
Interquartile range (IQR)1194

Descriptive statistics

Standard deviation641.08632
Coefficient of variation (CV)0.015207651
Kurtosis-1.3379066
Mean42155.513
Median Absolute Deviation (MAD)595
Skewness-0.23758681
Sum1.1934226 × 108
Variance410991.66
MonotonicityNot monotonic
2024-04-21T12:15:38.241648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42964 21
 
0.6%
42724 19
 
0.6%
42936 17
 
0.5%
43008 17
 
0.5%
42979 16
 
0.5%
42709 16
 
0.5%
42921 15
 
0.5%
42974 15
 
0.5%
43013 14
 
0.4%
41590 14
 
0.4%
Other values (953) 2667
82.3%
(Missing) 409
 
12.6%
ValueCountFrequency (%)
41000 8
0.2%
41001 2
 
0.1%
41002 3
 
0.1%
41003 4
0.1%
41005 7
0.2%
41006 4
0.1%
41007 5
0.2%
41008 4
0.1%
41009 1
 
< 0.1%
41019 1
 
< 0.1%
ValueCountFrequency (%)
43024 2
 
0.1%
43023 8
0.2%
43022 8
0.2%
43021 1
 
< 0.1%
43020 9
0.3%
43019 6
0.2%
43017 3
 
0.1%
43016 5
0.2%
43015 8
0.2%
43014 1
 
< 0.1%
Distinct2698
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-21T12:15:39.098903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.9632716
Min length2

Characters and Unicode

Total characters25801
Distinct characters570
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2295 ?
Unique (%)70.8%

Sample

1st row성모유치원
2nd row삼덕청아람어린이집
3rd row(주)서원유통 탑마트 대구점
4th row남산교회어린이집
5th row행복한재활요양병원
ValueCountFrequency (%)
어린이집 88
 
2.4%
주식회사 42
 
1.1%
사회복지법인 30
 
0.8%
국공립 20
 
0.5%
유치원 13
 
0.4%
계명대학교 10
 
0.3%
의료법인 7
 
0.2%
참좋은어린이집 6
 
0.2%
대구 6
 
0.2%
경창산업(주 6
 
0.2%
Other values (2789) 3448
93.8%
2024-04-21T12:15:40.069195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1296
 
5.0%
1086
 
4.2%
1046
 
4.1%
1046
 
4.1%
1009
 
3.9%
771
 
3.0%
657
 
2.5%
620
 
2.4%
587
 
2.3%
464
 
1.8%
Other values (560) 17219
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24242
94.0%
Close Punctuation 456
 
1.8%
Open Punctuation 451
 
1.7%
Space Separator 436
 
1.7%
Uppercase Letter 113
 
0.4%
Decimal Number 68
 
0.3%
Lowercase Letter 13
 
0.1%
Dash Punctuation 11
 
< 0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1296
 
5.3%
1086
 
4.5%
1046
 
4.3%
1046
 
4.3%
1009
 
4.2%
771
 
3.2%
657
 
2.7%
620
 
2.6%
587
 
2.4%
464
 
1.9%
Other values (519) 15660
64.6%
Uppercase Letter
ValueCountFrequency (%)
S 19
16.8%
K 14
12.4%
B 10
8.8%
M 10
8.8%
T 8
 
7.1%
A 7
 
6.2%
D 6
 
5.3%
I 5
 
4.4%
O 5
 
4.4%
G 5
 
4.4%
Other values (12) 24
21.2%
Decimal Number
ValueCountFrequency (%)
2 23
33.8%
1 17
25.0%
0 12
17.6%
3 8
 
11.8%
4 5
 
7.4%
6 2
 
2.9%
5 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
61.5%
i 3
 
23.1%
g 1
 
7.7%
n 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
, 4
36.4%
· 1
 
9.1%
& 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 451
100.0%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24242
94.0%
Common 1433
 
5.6%
Latin 126
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1296
 
5.3%
1086
 
4.5%
1046
 
4.3%
1046
 
4.3%
1009
 
4.2%
771
 
3.2%
657
 
2.7%
620
 
2.6%
587
 
2.4%
464
 
1.9%
Other values (519) 15660
64.6%
Latin
ValueCountFrequency (%)
S 19
15.1%
K 14
11.1%
B 10
 
7.9%
M 10
 
7.9%
e 8
 
6.3%
T 8
 
6.3%
A 7
 
5.6%
D 6
 
4.8%
I 5
 
4.0%
O 5
 
4.0%
Other values (16) 34
27.0%
Common
ValueCountFrequency (%)
) 456
31.8%
( 451
31.5%
436
30.4%
2 23
 
1.6%
1 17
 
1.2%
0 12
 
0.8%
- 11
 
0.8%
3 8
 
0.6%
. 5
 
0.3%
4 5
 
0.3%
Other values (5) 9
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24242
94.0%
ASCII 1558
 
6.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1296
 
5.3%
1086
 
4.5%
1046
 
4.3%
1046
 
4.3%
1009
 
4.2%
771
 
3.2%
657
 
2.7%
620
 
2.6%
587
 
2.4%
464
 
1.9%
Other values (519) 15660
64.6%
ASCII
ValueCountFrequency (%)
) 456
29.3%
( 451
28.9%
436
28.0%
2 23
 
1.5%
S 19
 
1.2%
1 17
 
1.1%
K 14
 
0.9%
0 12
 
0.8%
- 11
 
0.7%
B 10
 
0.6%
Other values (30) 109
 
7.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2947
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169149 × 1013
Minimum2.0010823 × 1013
Maximum2.0220401 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:40.309811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010823 × 1013
5-th percentile2.0060123 × 1013
Q12.0160611 × 1013
median2.0180405 × 1013
Q32.0201008 × 1013
95-th percentile2.0211117 × 1013
Maximum2.0220401 × 1013
Range2.0957816 × 1011
Interquartile range (IQR)4.0396739 × 1010

Descriptive statistics

Standard deviation4.6767731 × 1010
Coefficient of variation (CV)0.0023187757
Kurtosis1.6323692
Mean2.0169149 × 1013
Median Absolute Deviation (MAD)2.0509471 × 1010
Skewness-1.4909385
Sum6.5348042 × 1016
Variance2.1872207 × 1021
MonotonicityNot monotonic
2024-04-21T12:15:40.551777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170822182146 206
 
6.4%
20170822183820 27
 
0.8%
20020226000000 7
 
0.2%
20060612000000 7
 
0.2%
20051014000000 6
 
0.2%
20020321000000 5
 
0.2%
20020513000000 5
 
0.2%
20060802000000 4
 
0.1%
20020912000000 4
 
0.1%
20050412000000 3
 
0.1%
Other values (2937) 2966
91.5%
ValueCountFrequency (%)
20010823000000 3
0.1%
20020226000000 7
0.2%
20020228000000 1
 
< 0.1%
20020321000000 5
0.2%
20020325000000 1
 
< 0.1%
20020403000000 1
 
< 0.1%
20020404000000 2
 
0.1%
20020418000000 1
 
< 0.1%
20020426000000 1
 
< 0.1%
20020513000000 5
0.2%
ValueCountFrequency (%)
20220401163218 1
< 0.1%
20220401160804 1
< 0.1%
20220401153043 1
< 0.1%
20220401105349 1
< 0.1%
20220329174856 1
< 0.1%
20220329163543 1
< 0.1%
20220325110903 1
< 0.1%
20220324131654 1
< 0.1%
20220324104606 1
< 0.1%
20220322131545 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
I
1799 
U
1441 

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 (%)
I 1799
55.5%
U 1441
44.5%

Length

2024-04-21T12:15:40.989127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:41.155886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1799
55.5%
u 1441
44.5%
Distinct597
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-03 02:40:00
2024-04-21T12:15:41.350228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:15:41.596392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
어린이집
1014 
집단급식소
811 
학교
476 
산업체
384 
병원
274 
Other values (6)
281 

Length

Max length8
Median length6
Mean length3.8132716
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이집
2nd row어린이집
3rd row산업체
4th row어린이집
5th row병원

Common Values

ValueCountFrequency (%)
어린이집 1014
31.3%
집단급식소 811
25.0%
학교 476
14.7%
산업체 384
 
11.9%
병원 274
 
8.5%
사회복지시설 150
 
4.6%
공공기관 70
 
2.2%
기타 집단급식소 45
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2024-04-21T12:15:41.829892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1014
30.9%
집단급식소 856
26.1%
학교 476
14.5%
산업체 384
 
11.7%
병원 274
 
8.3%
사회복지시설 150
 
4.6%
공공기관 70
 
2.1%
기타 45
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2264
Distinct (%)71.7%
Missing84
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean341524
Minimum324456.69
Maximum358331.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:42.189002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324456.69
5-th percentile331352.76
Q1337437.58
median340980.03
Q3345927.23
95-th percentile353741.67
Maximum358331.96
Range33875.268
Interquartile range (IQR)8489.6479

Descriptive statistics

Standard deviation6271.4534
Coefficient of variation (CV)0.018363141
Kurtosis-0.23389555
Mean341524
Median Absolute Deviation (MAD)4387.1152
Skewness0.14860348
Sum1.0778497 × 109
Variance39331128
MonotonicityNot monotonic
2024-04-21T12:15:42.629558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336403.914141 18
 
0.6%
347154.975659 12
 
0.4%
342935.432334 10
 
0.3%
334924.366071 9
 
0.3%
343666.342763 7
 
0.2%
334461.497981 7
 
0.2%
339945.887946 7
 
0.2%
344458.93985 7
 
0.2%
345299.742438 7
 
0.2%
338755.239139 6
 
0.2%
Other values (2254) 3066
94.6%
(Missing) 84
 
2.6%
ValueCountFrequency (%)
324456.694801 5
0.2%
324830.650347 1
 
< 0.1%
326346.610647 1
 
< 0.1%
326589.033997 1
 
< 0.1%
326967.705479 1
 
< 0.1%
327056.571282 1
 
< 0.1%
327108.439045 1
 
< 0.1%
327220.136878 1
 
< 0.1%
327251.925896 1
 
< 0.1%
327291.398764 2
 
0.1%
ValueCountFrequency (%)
358331.962448 1
< 0.1%
358275.307433 1
< 0.1%
358060.647419 1
< 0.1%
358034.101424 2
0.1%
357646.727978 1
< 0.1%
356982.391961 1
< 0.1%
356963.492594 1
< 0.1%
356689.075457 1
< 0.1%
356609.10734 1
< 0.1%
356548.207715 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2263
Distinct (%)71.7%
Missing84
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean262393.06
Minimum237677.09
Maximum279130.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:43.056765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237677.09
5-th percentile248715.27
Q1260304.01
median262997.25
Q3265724.6
95-th percentile271701.04
Maximum279130.24
Range41453.143
Interquartile range (IQR)5420.5945

Descriptive statistics

Standard deviation6310.2706
Coefficient of variation (CV)0.024048924
Kurtosis2.8588845
Mean262393.06
Median Absolute Deviation (MAD)2708.7544
Skewness-1.214257
Sum8.2811249 × 108
Variance39819515
MonotonicityNot monotonic
2024-04-21T12:15:43.479194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257154.473733 18
 
0.6%
256414.706903 12
 
0.4%
264310.975711 10
 
0.3%
256766.769218 9
 
0.3%
261502.602455 7
 
0.2%
262699.052324 7
 
0.2%
267007.8061 7
 
0.2%
266806.443246 7
 
0.2%
261647.516409 7
 
0.2%
268104.107783 6
 
0.2%
Other values (2253) 3066
94.6%
(Missing) 84
 
2.6%
ValueCountFrequency (%)
237677.093671 1
< 0.1%
237682.121457 1
< 0.1%
237790.126667 2
0.1%
237790.645721 1
< 0.1%
237836.876878 1
< 0.1%
237924.538923 1
< 0.1%
237955.258609 1
< 0.1%
238221.227882 1
< 0.1%
238246.501108 1
< 0.1%
238535.276618 1
< 0.1%
ValueCountFrequency (%)
279130.236916 2
 
0.1%
278909.058905 2
 
0.1%
278665.856239 5
0.2%
278304.138334 1
 
< 0.1%
278013.82104 1
 
< 0.1%
277628.249514 2
 
0.1%
277437.990648 1
 
< 0.1%
276944.857555 3
0.1%
276764.111561 1
 
< 0.1%
276154.019724 3
0.1%

위생업태명
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
어린이집
1014 
집단급식소
811 
학교
476 
산업체
384 
병원
274 
Other values (6)
281 

Length

Max length8
Median length6
Mean length3.8132716
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이집
2nd row어린이집
3rd row산업체
4th row어린이집
5th row병원

Common Values

ValueCountFrequency (%)
어린이집 1014
31.3%
집단급식소 811
25.0%
학교 476
14.7%
산업체 384
 
11.9%
병원 274
 
8.5%
사회복지시설 150
 
4.6%
공공기관 70
 
2.2%
기타 집단급식소 45
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2024-04-21T12:15:43.902137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1014
30.9%
집단급식소 856
26.1%
학교 476
14.5%
산업체 384
 
11.7%
병원 274
 
8.3%
사회복지시설 150
 
4.6%
공공기관 70
 
2.1%
기타 45
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:44.313716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:44.636486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:44.986631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:45.312073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
상수도전용
2585 
<NA>
636 
지하수전용
 
18
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length5
Mean length4.8080247
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row상수도전용
2nd row상수도전용
3rd row<NA>
4th row상수도전용
5th row상수도전용

Common Values

ValueCountFrequency (%)
상수도전용 2585
79.8%
<NA> 636
 
19.6%
지하수전용 18
 
0.6%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-21T12:15:45.670813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:46.011186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2585
79.7%
na 636
 
19.6%
지하수전용 18
 
0.6%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:46.396530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:46.719803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)1.4%
Missing1132
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean0.79032258
Minimum0
Maximum160
Zeros1888
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:47.024533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4527927
Coefficient of variation (CV)6.899452
Kurtosis457.90256
Mean0.79032258
Median Absolute Deviation (MAD)0
Skewness18.828029
Sum1666
Variance29.732949
MonotonicityNot monotonic
2024-04-21T12:15:47.424658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1888
58.3%
1 47
 
1.5%
2 33
 
1.0%
3 25
 
0.8%
4 18
 
0.6%
12 12
 
0.4%
6 12
 
0.4%
10 11
 
0.3%
5 10
 
0.3%
7 9
 
0.3%
Other values (19) 43
 
1.3%
(Missing) 1132
34.9%
ValueCountFrequency (%)
0 1888
58.3%
1 47
 
1.5%
2 33
 
1.0%
3 25
 
0.8%
4 18
 
0.6%
5 10
 
0.3%
6 12
 
0.4%
7 9
 
0.3%
8 9
 
0.3%
9 9
 
0.3%
ValueCountFrequency (%)
160 1
< 0.1%
113 1
< 0.1%
73 1
< 0.1%
60 1
< 0.1%
53 1
< 0.1%
50 1
< 0.1%
27 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:47.853151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:48.180584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:48.527615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:48.854412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
2992 
0
 
248

Length

Max length4
Median length4
Mean length3.7703704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2992
92.3%
0 248
 
7.7%

Length

2024-04-21T12:15:49.203021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:49.530214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2992
92.3%
0 248
 
7.7%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
3010 
자가
 
218
임대
 
12

Length

Max length4
Median length4
Mean length3.8580247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3010
92.9%
자가 218
 
6.7%
임대 12
 
0.4%

Length

2024-04-21T12:15:49.893827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:50.241663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3010
92.9%
자가 218
 
6.7%
임대 12
 
0.4%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
1771 
0
1469 

Length

Max length4
Median length4
Mean length2.6398148
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1771
54.7%
0 1469
45.3%

Length

2024-04-21T12:15:50.603590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:50.935325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1771
54.7%
0 1469
45.3%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
<NA>
1771 
0
1469 

Length

Max length4
Median length4
Mean length2.6398148
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1771
54.7%
0 1469
45.3%

Length

2024-04-21T12:15:51.292246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:15:51.626277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1771
54.7%
0 1469
45.3%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
3237 
True
 
3
ValueCountFrequency (%)
False 3237
99.9%
True 3
 
0.1%
2024-04-21T12:15:51.898828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1686
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.30054
Minimum0
Maximum7384.44
Zeros659
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-21T12:15:52.230108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.1
median22.5
Q370
95-th percentile300
Maximum7384.44
Range7384.44
Interquartile range (IQR)61.9

Descriptive statistics

Standard deviation189.6958
Coefficient of variation (CV)2.5530878
Kurtosis690.90487
Mean74.30054
Median Absolute Deviation (MAD)22.5
Skewness19.617855
Sum240733.75
Variance35984.497
MonotonicityNot monotonic
2024-04-21T12:15:52.669395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 659
 
20.3%
20.0 35
 
1.1%
15.0 30
 
0.9%
30.0 20
 
0.6%
16.0 17
 
0.5%
12.0 16
 
0.5%
10.0 12
 
0.4%
24.0 12
 
0.4%
35.0 12
 
0.4%
21.0 11
 
0.3%
Other values (1676) 2416
74.6%
ValueCountFrequency (%)
0.0 659
20.3%
1.0 10
 
0.3%
2.0 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 2
 
0.1%
3.82 1
 
< 0.1%
3.9 1
 
< 0.1%
3.96 1
 
< 0.1%
4.0 4
 
0.1%
ValueCountFrequency (%)
7384.44 1
< 0.1%
1949.0 1
< 0.1%
1707.0 1
< 0.1%
1674.0 1
< 0.1%
1583.63 1
< 0.1%
1386.0 1
< 0.1%
1125.0 1
< 0.1%
1060.0 1
< 0.1%
1050.28 1
< 0.1%
1026.81 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3240
Missing (%)100.0%
Memory size28.6 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소07_21_02_P34100003410000-105-2017-0000220170313<NA>3폐업2폐업20200602<NA><NA><NA><NA>44.10700834대구광역시 중구 남산동 0225-0001번지대구광역시 중구 남산로4길 112 (남산동)41969성모유치원20200602151854U2020-06-04 02:40:00.0어린이집343289.778615263445.349134어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.6<NA><NA><NA>
12집단급식소07_21_02_P34100003410000-105-2017-0000420170330<NA>3폐업2폐업20190619<NA><NA><NA>053252523419.30700413대구광역시 중구 삼덕동3가 0383번지 지상1층대구광역시 중구 달구벌대로447길 77 (삼덕동3가, 지상1층)41945삼덕청아람어린이집20190619115628U2019-06-21 02:40:00.0어린이집345088.997386264051.834496어린이집<NA><NA><NA><NA>상수도전용<NA>1<NA><NA><NA><NA><NA><NA>N16.56<NA><NA><NA>
23집단급식소07_21_02_P34100003410000-105-2017-0000620170828<NA>3폐업2폐업20190104<NA><NA><NA><NA>315.28700440대구광역시 중구 남산동 3006번지 반월당효성해링턴플레이스 301동 지하2층대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스 301동 지하2층)41961(주)서원유통 탑마트 대구점20190104164219U2019-01-06 02:40:00.0산업체343902.080116263530.809939산업체<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N85.52<NA><NA><NA>
34집단급식소07_21_02_P34100003410000-105-2017-0000120170306<NA>1영업/정상1영업<NA><NA><NA><NA>053 253013011.27700832대구광역시 중구 남산동 0941-0001대구광역시 중구 관덕정길 16 (남산동)41966남산교회어린이집20220214132820U2022-02-16 02:40:00.0어린이집343580.868644263936.60266어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N11.27<NA><NA><NA>
45집단급식소07_21_02_P34100003410000-105-2017-0000320170317<NA>1영업/정상1영업<NA><NA><NA><NA><NA>138.64700113대구광역시 중구 태평로3가 0171-0001번지 지상6층대구광역시 중구 태평로 39, 6층 (태평로3가)41901행복한재활요양병원20180918160846U2018-09-18 23:59:59.0병원342814.745233265335.083397병원<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.98<NA><NA><NA>
56집단급식소07_21_02_P34100003410000-105-2017-0000520170531<NA>1영업/정상1영업<NA><NA><NA><NA>053 255323712.63700320대구광역시 중구 대신동 2106번지 107동 1층대구광역시 중구 달구벌대로 1955 (대신동, 107동 1층)41929밤비니어린이집20170616151953I2018-08-31 23:59:59.0어린이집342424.00132263905.367548어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N12.63<NA><NA><NA>
67집단급식소07_21_02_P34100003410000-105-2017-0000720171218<NA>1영업/정상1영업<NA><NA><NA><NA>053 4201197161.15700412대구광역시 중구 삼덕동2가 0149-0016 지상11층대구광역시 중구 공평로 16, 지상11층 (삼덕동2가)41940주식회사 엠시티개발20211227104225U2021-12-29 02:40:00.0병원344452.632755263980.580167병원00<NA><NA>상수도전용00000<NA>00N43.4<NA><NA><NA>
78집단급식소07_21_02_P34100003410000-105-2018-0000120180105<NA>1영업/정상1영업<NA><NA><NA><NA>053 200 6965<NA>700721대구광역시 중구 삼덕동2가 0050 경북대학교병원 영선동 지상1층대구광역시 중구 동덕로 130, 경북대학교병원 영선동 지상1층 (삼덕동2가)41944경북대학교병원 직원식당20200918172328U2020-09-20 02:40:00.0병원344867.643963264091.210417병원<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89집단급식소07_21_02_P34100003410000-105-2018-0000220180111<NA>1영업/정상1영업<NA><NA><NA><NA>053 257 2577214.02700113대구광역시 중구 태평로3가 0174-0001 지상6층대구광역시 중구 태평로 45, 지상6층 (태평로3가)41901중구노인복지관20200630171656U2020-07-02 02:40:00.0사회복지시설342904.635961265342.244557사회복지시설<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.6<NA><NA><NA>
910집단급식소07_21_02_P34100003410000-105-2018-0000320180308<NA>1영업/정상1영업<NA><NA><NA><NA><NA>103.85700412대구광역시 중구 삼덕동2가 0192-0004번지 지상 10층대구광역시 중구 달구벌대로 2179, 지상 10층 (삼덕동2가)41940누네안과병원20180504095009I2018-08-31 23:59:59.0병원344602.341735263792.103324병원<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N35.83<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
32303231집단급식소07_21_02_P34800003480000-105-2016-0000720160226<NA>1영업/정상1영업<NA><NA><NA><NA>053 762 261946.00711864대구광역시 달성군 가창면 용계리 212-1번지대구광역시 달성군 가창면 가창로 1049, 1층42936다사랑요양원20170727095225I2018-08-31 23:59:59.0사회복지시설346689.143817256512.727961사회복지시설<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N23.04<NA><NA><NA>
32313232집단급식소07_21_02_P34800003480000-105-2016-0000820160302<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2961764.93<NA>대구광역시 달성군 유가읍 봉리 598번지대구광역시 달성군 유가읍 테크노북로6길 10, 1층43015포산중학교20161102175433I2018-08-31 23:59:59.0학교332095.0245003.0학교<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N224.14<NA><NA><NA>
32323233집단급식소07_21_02_P34800003480000-105-2016-0000920160302<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2383793.96<NA>대구광역시 달성군 유가읍 봉리 597번지대구광역시 달성군 유가읍 테크노북로 144, 1층43015대구비슬초등학교20170822183820I2018-08-31 23:59:59.0학교331968.0245063.0학교<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N229.76<NA><NA><NA>
32333234집단급식소07_21_02_P34800003480000-105-2016-0001020160302<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2105225.48<NA>대구광역시 달성군 유가읍 봉리 597번지대구광역시 달성군 유가읍 테크노북로 142, 4층43015대구비슬유치원20170822183820I2018-08-31 23:59:59.0어린이집331945.0245063.0어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N61.8<NA><NA><NA>
32343235집단급식소07_21_02_P34800003480000-105-2016-0001120160303<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2294744.70711815대구광역시 달성군 다사읍 죽곡리 820번지대구광역시 달성군 다사읍 대실역남로1길 31, 2층42919대구대실초등학교20170105114708I2018-08-31 23:59:59.0학교332546.919668262432.60402학교<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N118.9<NA><NA><NA>
32353236집단급식소07_21_02_P34800003480000-105-2016-0001220160304<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2154158.85711842대구광역시 달성군 옥포면 강림리 1216번지대구광역시 달성군 옥포면 돌미로2서길 20, 4층42974대구옥빛유치원20170822183820I2018-08-31 23:59:59.0어린이집329793.578962254185.109953어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N65.26<NA><NA><NA>
32363237집단급식소07_21_02_P34800003480000-105-2001-0000220011106<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3854<NA>711861대구광역시 달성군 가창면 냉천리 772-2번지대구광역시 달성군 가창면 원정길 242938가창중학교20170717114031I2018-08-31 23:59:59.0학교348595.045772253897.849332학교<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
32373238집단급식소07_21_02_P34800003480000-105-2002-0000120020103<NA>1영업/정상1영업<NA><NA><NA><NA>053 615111042.00711852대구광역시 달성군 논공읍 북리 1-121번지대구광역시 달성군 논공읍 논공로117길 242984오대금속(주)20170717133037I2018-08-31 23:59:59.0산업체331745.546481248233.903634산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N272.16<NA><NA><NA>
32383239집단급식소07_21_02_P34800003480000-105-2003-0000120030328<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 1550<NA>711831대구광역시 달성군 화원읍 구라리 1553번지대구광역시 달성군 화원읍 성천로42길 242950대구천내초등학교20170717125538I2018-08-31 23:59:59.0학교335711.334336257735.387756학교<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
32393240집단급식소07_21_02_P34800003480000-105-2003-0000220030329<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3396<NA>711838대구광역시 달성군 화원읍 본리리 104-2번지대구광역시 달성군 화원읍 성암로 4842966화원중학교20170717142617I2018-08-31 23:59:59.0학교336388.666416256457.442957학교<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>