Overview

Dataset statistics

Number of variables47
Number of observations3280
Missing cells34460
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

Description22년11월_6270000_대구광역시_07_21_02_P_집단급식소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097105&dataSetDetailId=DDI_0000097130&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
급수시설구분명 is highly imbalanced (61.4%)Imbalance
건물소유구분명 is highly imbalanced (75.6%)Imbalance
다중이용업소여부 is highly imbalanced (98.9%)Imbalance
인허가취소일자 has 3280 (100.0%) missing valuesMissing
폐업일자 has 1863 (56.8%) missing valuesMissing
휴업시작일자 has 3280 (100.0%) missing valuesMissing
휴업종료일자 has 3280 (100.0%) missing valuesMissing
재개업일자 has 3280 (100.0%) missing valuesMissing
소재지전화 has 495 (15.1%) missing valuesMissing
소재지면적 has 496 (15.1%) missing valuesMissing
소재지우편번호 has 97 (3.0%) missing valuesMissing
도로명전체주소 has 398 (12.1%) missing valuesMissing
도로명우편번호 has 409 (12.5%) missing valuesMissing
좌표정보(X) has 59 (1.8%) missing valuesMissing
좌표정보(Y) has 59 (1.8%) missing valuesMissing
영업장주변구분명 has 3280 (100.0%) missing valuesMissing
등급구분명 has 3280 (100.0%) missing valuesMissing
본사직원수 has 1062 (32.4%) missing valuesMissing
전통업소지정번호 has 3280 (100.0%) missing valuesMissing
전통업소주된음식 has 3280 (100.0%) missing valuesMissing
홈페이지 has 3280 (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
본사직원수 has 1998 (60.9%) zerosZeros
시설총규모 has 672 (20.5%) zerosZeros

Reproduction

Analysis started2023-12-10 19:20:18.558641
Analysis finished2023-12-10 19:20:20.602029
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1640.5
Minimum1
Maximum3280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:20.756010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile164.95
Q1820.75
median1640.5
Q32460.25
95-th percentile3116.05
Maximum3280
Range3279
Interquartile range (IQR)1639.5

Descriptive statistics

Standard deviation946.99877
Coefficient of variation (CV)0.57726228
Kurtosis-1.2
Mean1640.5
Median Absolute Deviation (MAD)820
Skewness0
Sum5380840
Variance896806.67
MonotonicityStrictly increasing
2023-12-11T04:20:21.173352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2193 1
 
< 0.1%
2183 1
 
< 0.1%
2184 1
 
< 0.1%
2185 1
 
< 0.1%
2186 1
 
< 0.1%
2187 1
 
< 0.1%
2188 1
 
< 0.1%
2189 1
 
< 0.1%
2190 1
 
< 0.1%
Other values (3270) 3270
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 (%)
3280 1
< 0.1%
3279 1
< 0.1%
3278 1
< 0.1%
3277 1
< 0.1%
3276 1
< 0.1%
3275 1
< 0.1%
3274 1
< 0.1%
3273 1
< 0.1%
3272 1
< 0.1%
3271 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
집단급식소
3280 

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 3280
100.0%

Length

2023-12-11T04:20:21.562486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:21.773950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 3280
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
07_21_02_P
3280 

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 3280
100.0%

Length

2023-12-11T04:20:22.071015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:22.243587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_21_02_p 3280
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453271.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:22.382097image/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 deviation21329.682
Coefficient of variation (CV)0.0061766596
Kurtosis-0.97090572
Mean3453271.3
Median Absolute Deviation (MAD)10000
Skewness-0.50026048
Sum1.132673 × 1010
Variance4.5495532 × 108
MonotonicityIncreasing
2023-12-11T04:20:22.566878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 788
24.0%
3450000 566
17.3%
3480000 517
15.8%
3460000 418
12.7%
3420000 404
12.3%
3430000 271
 
8.3%
3440000 182
 
5.5%
3410000 134
 
4.1%
ValueCountFrequency (%)
3410000 134
 
4.1%
3420000 404
12.3%
3430000 271
 
8.3%
3440000 182
 
5.5%
3450000 566
17.3%
3460000 418
12.7%
3470000 788
24.0%
3480000 517
15.8%
ValueCountFrequency (%)
3480000 517
15.8%
3470000 788
24.0%
3460000 418
12.7%
3450000 566
17.3%
3440000 182
 
5.5%
3430000 271
 
8.3%
3420000 404
12.3%
3410000 134
 
4.1%

관리번호
Text

UNIQUE 

Distinct3280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
2023-12-11T04:20:22.878709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters72160
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

Unique3280 ?
Unique (%)100.0%

Sample

1st row3410000-105-2015-00005
2nd row3410000-105-2015-00006
3rd row3410000-105-2016-00003
4th row3410000-105-2017-00002
5th row3410000-105-2017-00004
ValueCountFrequency (%)
3410000-105-2015-00005 1
 
< 0.1%
3470000-105-2005-00069 1
 
< 0.1%
3470000-105-1986-00002 1
 
< 0.1%
3470000-105-2003-00038 1
 
< 0.1%
3470000-105-2003-00041 1
 
< 0.1%
3470000-105-2003-00042 1
 
< 0.1%
3470000-105-2003-00044 1
 
< 0.1%
3470000-105-2003-00048 1
 
< 0.1%
3470000-105-2004-00003 1
 
< 0.1%
3470000-105-2005-00061 1
 
< 0.1%
Other values (3270) 3270
99.7%
2023-12-11T04:20:23.380390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32413
44.9%
- 9840
 
13.6%
1 6822
 
9.5%
5 4765
 
6.6%
2 4669
 
6.5%
3 4422
 
6.1%
4 4136
 
5.7%
9 1468
 
2.0%
7 1458
 
2.0%
6 1109
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62320
86.4%
Dash Punctuation 9840
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32413
52.0%
1 6822
 
10.9%
5 4765
 
7.6%
2 4669
 
7.5%
3 4422
 
7.1%
4 4136
 
6.6%
9 1468
 
2.4%
7 1458
 
2.3%
6 1109
 
1.8%
8 1058
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 9840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32413
44.9%
- 9840
 
13.6%
1 6822
 
9.5%
5 4765
 
6.6%
2 4669
 
6.5%
3 4422
 
6.1%
4 4136
 
5.7%
9 1468
 
2.0%
7 1458
 
2.0%
6 1109
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32413
44.9%
- 9840
 
13.6%
1 6822
 
9.5%
5 4765
 
6.6%
2 4669
 
6.5%
3 4422
 
6.1%
4 4136
 
5.7%
9 1468
 
2.0%
7 1458
 
2.0%
6 1109
 
1.5%

인허가일자
Real number (ℝ)

Distinct2301
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090329
Minimum19600525
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:23.589656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19600525
5-th percentile19951197
Q120050610
median20091210
Q320150908
95-th percentile20201201
Maximum20221128
Range620603
Interquartile range (IQR)100297.5

Descriptive statistics

Standard deviation80829.134
Coefficient of variation (CV)0.0040232858
Kurtosis1.0872296
Mean20090329
Median Absolute Deviation (MAD)58998.5
Skewness-0.7115689
Sum6.5896278 × 1010
Variance6.5333489 × 109
MonotonicityNot monotonic
2023-12-11T04:20:24.065470image/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
 
0.5%
20051229 12
 
0.4%
20050819 12
 
0.4%
20050831 11
 
0.3%
20051228 11
 
0.3%
20050826 10
 
0.3%
20051230 10
 
0.3%
20051206 9
 
0.3%
Other values (2291) 3142
95.8%
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 (%)
20221128 1
< 0.1%
20221111 1
< 0.1%
20221110 1
< 0.1%
20221107 1
< 0.1%
20221101 1
< 0.1%
20221026 1
< 0.1%
20221020 2
0.1%
20221018 1
< 0.1%
20221006 1
< 0.1%
20221005 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
1
1863 
3
1417 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1863
56.8%
3 1417
43.2%

Length

2023-12-11T04:20:24.320996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:24.490614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1863
56.8%
3 1417
43.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
영업/정상
1863 
폐업
1417 

Length

Max length5
Median length5
Mean length3.7039634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1863
56.8%
폐업 1417
43.2%

Length

2023-12-11T04:20:24.655037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:24.850379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1863
56.8%
폐업 1417
43.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
1
1863 
2
1417 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1863
56.8%
2 1417
43.2%

Length

2023-12-11T04:20:25.034987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:25.197838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1863
56.8%
2 1417
43.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
영업
1863 
폐업
1417 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 1863
56.8%
폐업 1417
43.2%

Length

2023-12-11T04:20:25.373960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:25.522058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 1863
56.8%
폐업 1417
43.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1122
Distinct (%)79.2%
Missing1863
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean20149382
Minimum20010711
Maximum20221123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:25.735134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010711
5-th percentile20050783
Q120120215
median20160414
Q320190508
95-th percentile20211227
Maximum20221123
Range210412
Interquartile range (IQR)70293

Descriptive statistics

Standard deviation50292.504
Coefficient of variation (CV)0.0024959825
Kurtosis-0.49329585
Mean20149382
Median Absolute Deviation (MAD)30798
Skewness-0.64474457
Sum2.8551674 × 1010
Variance2.529336 × 109
MonotonicityNot monotonic
2023-12-11T04:20:25.956693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200708 6
 
0.2%
20190531 5
 
0.2%
20160307 4
 
0.1%
20030411 4
 
0.1%
20190805 4
 
0.1%
20170504 3
 
0.1%
20140304 3
 
0.1%
20150422 3
 
0.1%
20060428 3
 
0.1%
20200402 3
 
0.1%
Other values (1112) 1379
42.0%
(Missing) 1863
56.8%
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 (%)
20221123 1
< 0.1%
20221118 1
< 0.1%
20221117 1
< 0.1%
20221116 1
< 0.1%
20221114 1
< 0.1%
20221110 1
< 0.1%
20221108 1
< 0.1%
20221107 1
< 0.1%
20221031 1
< 0.1%
20221021 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

소재지전화
Text

MISSING 

Distinct2585
Distinct (%)92.8%
Missing495
Missing (%)15.1%
Memory size25.8 KiB
2023-12-11T04:20:26.472386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.299461
Min length7

Characters and Unicode

Total characters31469
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

Unique2419 ?
Unique (%)86.9%

Sample

1st row053 4259520
2nd row053 2101234
3rd row0532525234
4th row053 2553237
5th row053 4201197
ValueCountFrequency (%)
053 2417
37.4%
235 32
 
0.5%
615 25
 
0.4%
233 19
 
0.3%
232 19
 
0.3%
617 16
 
0.2%
586 14
 
0.2%
961 14
 
0.2%
583 14
 
0.2%
267 14
 
0.2%
Other values (2641) 3886
60.1%
2023-12-11T04:20:27.205367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5327
16.9%
5 5051
16.1%
3 4757
15.1%
3899
12.4%
1 2207
7.0%
2 2199
7.0%
6 2040
 
6.5%
7 1826
 
5.8%
8 1409
 
4.5%
4 1392
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27570
87.6%
Space Separator 3899
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5327
19.3%
5 5051
18.3%
3 4757
17.3%
1 2207
8.0%
2 2199
8.0%
6 2040
 
7.4%
7 1826
 
6.6%
8 1409
 
5.1%
4 1392
 
5.0%
9 1362
 
4.9%
Space Separator
ValueCountFrequency (%)
3899
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5327
16.9%
5 5051
16.1%
3 4757
15.1%
3899
12.4%
1 2207
7.0%
2 2199
7.0%
6 2040
 
6.5%
7 1826
 
5.8%
8 1409
 
4.5%
4 1392
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5327
16.9%
5 5051
16.1%
3 4757
15.1%
3899
12.4%
1 2207
7.0%
2 2199
7.0%
6 2040
 
6.5%
7 1826
 
5.8%
8 1409
 
4.5%
4 1392
 
4.4%

소재지면적
Text

MISSING 

Distinct1810
Distinct (%)65.0%
Missing496
Missing (%)15.1%
Memory size25.8 KiB
2023-12-11T04:20:27.681656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.1921695
Min length3

Characters and Unicode

Total characters14455
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

Unique1408 ?
Unique (%)50.6%

Sample

1st row27.74
2nd row73.92
3rd row90.38
4th row44.10
5th row19.30
ValueCountFrequency (%)
00 184
 
6.6%
20.00 27
 
1.0%
15.00 23
 
0.8%
12.00 15
 
0.5%
16.00 14
 
0.5%
10.00 13
 
0.5%
16.50 13
 
0.5%
13.00 11
 
0.4%
30.00 10
 
0.4%
1.00 10
 
0.4%
Other values (1800) 2464
88.5%
2023-12-11T04:20:28.376602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2888
20.0%
. 2784
19.3%
1 1716
11.9%
2 1280
8.9%
5 921
 
6.4%
3 898
 
6.2%
6 866
 
6.0%
4 856
 
5.9%
8 818
 
5.7%
7 710
 
4.9%
Other values (2) 718
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11635
80.5%
Other Punctuation 2820
 
19.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2888
24.8%
1 1716
14.7%
2 1280
11.0%
5 921
 
7.9%
3 898
 
7.7%
6 866
 
7.4%
4 856
 
7.4%
8 818
 
7.0%
7 710
 
6.1%
9 682
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2784
98.7%
, 36
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 14455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2888
20.0%
. 2784
19.3%
1 1716
11.9%
2 1280
8.9%
5 921
 
6.4%
3 898
 
6.2%
6 866
 
6.0%
4 856
 
5.9%
8 818
 
5.7%
7 710
 
4.9%
Other values (2) 718
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2888
20.0%
. 2784
19.3%
1 1716
11.9%
2 1280
8.9%
5 921
 
6.4%
3 898
 
6.2%
6 866
 
6.0%
4 856
 
5.9%
8 818
 
5.7%
7 710
 
4.9%
Other values (2) 718
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct532
Distinct (%)16.7%
Missing97
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean704997.56
Minimum700030
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:28.574334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700030
5-th percentile701170
Q1702834
median704808
Q3706170
95-th percentile711852
Maximum711893
Range11863
Interquartile range (IQR)3336

Descriptive statistics

Standard deviation3152.0039
Coefficient of variation (CV)0.004470943
Kurtosis0.34291575
Mean704997.56
Median Absolute Deviation (MAD)1961
Skewness1.034379
Sum2.2440072 × 109
Variance9935128.8
MonotonicityNot monotonic
2023-12-11T04:20:28.791633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711852 56
 
1.7%
711812 43
 
1.3%
711891 35
 
1.1%
704080 34
 
1.0%
704801 34
 
1.0%
704900 32
 
1.0%
704837 32
 
1.0%
703825 31
 
0.9%
711855 31
 
0.9%
711815 30
 
0.9%
Other values (522) 2825
86.1%
(Missing) 97
 
3.0%
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%
700093 1
 
< 0.1%
700111 1
 
< 0.1%
700113 5
0.2%
700160 3
0.1%
ValueCountFrequency (%)
711893 8
 
0.2%
711892 9
 
0.3%
711891 35
1.1%
711874 1
 
< 0.1%
711873 13
 
0.4%
711872 1
 
< 0.1%
711871 2
 
0.1%
711864 19
0.6%
711863 7
 
0.2%
711861 3
 
0.1%
Distinct2951
Distinct (%)90.0%
Missing2
Missing (%)0.1%
Memory size25.8 KiB
2023-12-11T04:20:29.293830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length24.327334
Min length16

Characters and Unicode

Total characters79745
Distinct characters392
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

Unique2680 ?
Unique (%)81.8%

Sample

1st row대구광역시 중구 동인동1가 0275-0001 지상8층
2nd row대구광역시 중구 남일동 0036-0001번지 지상15층
3rd row대구광역시 중구 동성로2가 0122 지상4층
4th row대구광역시 중구 남산동 0225-0001번지
5th row대구광역시 중구 삼덕동3가 0383번지 지상1층
ValueCountFrequency (%)
대구광역시 3285
 
21.7%
달서구 788
 
5.2%
북구 566
 
3.7%
달성군 517
 
3.4%
수성구 417
 
2.8%
동구 404
 
2.7%
서구 271
 
1.8%
남구 183
 
1.2%
중구 134
 
0.9%
다사읍 124
 
0.8%
Other values (3494) 8470
55.9%
2023-12-11T04:20:29.943744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15144
19.0%
6241
 
7.8%
3664
 
4.6%
3548
 
4.4%
1 3456
 
4.3%
3339
 
4.2%
3303
 
4.1%
3295
 
4.1%
2809
 
3.5%
0 2778
 
3.5%
Other values (382) 32168
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45610
57.2%
Decimal Number 16050
 
20.1%
Space Separator 15144
 
19.0%
Dash Punctuation 2152
 
2.7%
Close Punctuation 288
 
0.4%
Open Punctuation 288
 
0.4%
Uppercase Letter 138
 
0.2%
Other Punctuation 64
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6241
13.7%
3664
 
8.0%
3548
 
7.8%
3339
 
7.3%
3303
 
7.2%
3295
 
7.2%
2809
 
6.2%
2131
 
4.7%
1318
 
2.9%
1212
 
2.7%
Other values (339) 14750
32.3%
Uppercase Letter
ValueCountFrequency (%)
A 31
22.5%
B 31
22.5%
L 9
 
6.5%
S 9
 
6.5%
K 7
 
5.1%
C 7
 
5.1%
D 6
 
4.3%
H 6
 
4.3%
T 5
 
3.6%
G 5
 
3.6%
Other values (10) 22
15.9%
Decimal Number
ValueCountFrequency (%)
1 3456
21.5%
0 2778
17.3%
2 1842
11.5%
3 1519
9.5%
4 1262
 
7.9%
5 1215
 
7.6%
6 1041
 
6.5%
7 1024
 
6.4%
8 1015
 
6.3%
9 898
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 45
70.3%
. 14
 
21.9%
· 3
 
4.7%
& 1
 
1.6%
@ 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
h 2
 
22.2%
c 2
 
22.2%
Space Separator
ValueCountFrequency (%)
15144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 288
100.0%
Open Punctuation
ValueCountFrequency (%)
( 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45610
57.2%
Common 33988
42.6%
Latin 147
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6241
13.7%
3664
 
8.0%
3548
 
7.8%
3339
 
7.3%
3303
 
7.2%
3295
 
7.2%
2809
 
6.2%
2131
 
4.7%
1318
 
2.9%
1212
 
2.7%
Other values (339) 14750
32.3%
Latin
ValueCountFrequency (%)
A 31
21.1%
B 31
21.1%
L 9
 
6.1%
S 9
 
6.1%
K 7
 
4.8%
C 7
 
4.8%
D 6
 
4.1%
H 6
 
4.1%
T 5
 
3.4%
e 5
 
3.4%
Other values (13) 31
21.1%
Common
ValueCountFrequency (%)
15144
44.6%
1 3456
 
10.2%
0 2778
 
8.2%
- 2152
 
6.3%
2 1842
 
5.4%
3 1519
 
4.5%
4 1262
 
3.7%
5 1215
 
3.6%
6 1041
 
3.1%
7 1024
 
3.0%
Other values (10) 2555
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45610
57.2%
ASCII 34132
42.8%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15144
44.4%
1 3456
 
10.1%
0 2778
 
8.1%
- 2152
 
6.3%
2 1842
 
5.4%
3 1519
 
4.5%
4 1262
 
3.7%
5 1215
 
3.6%
6 1041
 
3.0%
7 1024
 
3.0%
Other values (32) 2699
 
7.9%
Hangul
ValueCountFrequency (%)
6241
13.7%
3664
 
8.0%
3548
 
7.8%
3339
 
7.3%
3303
 
7.2%
3295
 
7.2%
2809
 
6.2%
2131
 
4.7%
1318
 
2.9%
1212
 
2.7%
Other values (339) 14750
32.3%
None
ValueCountFrequency (%)
· 3
100.0%

도로명전체주소
Text

MISSING 

Distinct2587
Distinct (%)89.8%
Missing398
Missing (%)12.1%
Memory size25.8 KiB
2023-12-11T04:20:30.461877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length28.302221
Min length19

Characters and Unicode

Total characters81567
Distinct characters422
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

Unique2339 ?
Unique (%)81.2%

Sample

1st row대구광역시 중구 동덕로 197 (동인동1가, 지상8층)
2nd row대구광역시 중구 국채보상로 582 (남일동, 지상15층)
3rd row대구광역시 중구 동성로 17 (동성로2가, 지상4층)
4th row대구광역시 중구 남산로4길 112 (남산동)
5th row대구광역시 중구 달구벌대로447길 77 (삼덕동3가, 지상1층)
ValueCountFrequency (%)
대구광역시 2888
 
17.7%
달서구 664
 
4.1%
북구 508
 
3.1%
달성군 479
 
2.9%
수성구 372
 
2.3%
동구 350
 
2.1%
1층 336
 
2.1%
서구 225
 
1.4%
남구 169
 
1.0%
다사읍 119
 
0.7%
Other values (2850) 10223
62.6%
2023-12-11T04:20:31.073763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13453
 
16.5%
5752
 
7.1%
3767
 
4.6%
3525
 
4.3%
2967
 
3.6%
2930
 
3.6%
2898
 
3.6%
1 2831
 
3.5%
2769
 
3.4%
( 2688
 
3.3%
Other values (412) 37987
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48836
59.9%
Space Separator 13453
 
16.5%
Decimal Number 11758
 
14.4%
Open Punctuation 2688
 
3.3%
Close Punctuation 2688
 
3.3%
Other Punctuation 1518
 
1.9%
Dash Punctuation 445
 
0.5%
Uppercase Letter 168
 
0.2%
Lowercase Letter 11
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5752
 
11.8%
3767
 
7.7%
3525
 
7.2%
2967
 
6.1%
2930
 
6.0%
2898
 
5.9%
2769
 
5.7%
1438
 
2.9%
1386
 
2.8%
1343
 
2.8%
Other values (367) 20061
41.1%
Uppercase Letter
ValueCountFrequency (%)
A 43
25.6%
B 36
21.4%
C 14
 
8.3%
L 9
 
5.4%
H 9
 
5.4%
S 9
 
5.4%
G 7
 
4.2%
K 7
 
4.2%
E 6
 
3.6%
D 6
 
3.6%
Other values (10) 22
13.1%
Decimal Number
ValueCountFrequency (%)
1 2831
24.1%
2 1726
14.7%
3 1402
11.9%
5 1052
 
8.9%
0 969
 
8.2%
4 966
 
8.2%
7 779
 
6.6%
6 752
 
6.4%
9 648
 
5.5%
8 633
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 1511
99.5%
. 3
 
0.2%
· 2
 
0.1%
& 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
h 2
 
18.2%
c 2
 
18.2%
t 1
 
9.1%
k 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 445
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48836
59.9%
Common 32552
39.9%
Latin 179
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5752
 
11.8%
3767
 
7.7%
3525
 
7.2%
2967
 
6.1%
2930
 
6.0%
2898
 
5.9%
2769
 
5.7%
1438
 
2.9%
1386
 
2.8%
1343
 
2.8%
Other values (367) 20061
41.1%
Latin
ValueCountFrequency (%)
A 43
24.0%
B 36
20.1%
C 14
 
7.8%
L 9
 
5.0%
H 9
 
5.0%
S 9
 
5.0%
G 7
 
3.9%
K 7
 
3.9%
E 6
 
3.4%
D 6
 
3.4%
Other values (15) 33
18.4%
Common
ValueCountFrequency (%)
13453
41.3%
1 2831
 
8.7%
( 2688
 
8.3%
) 2688
 
8.3%
2 1726
 
5.3%
, 1511
 
4.6%
3 1402
 
4.3%
5 1052
 
3.2%
0 969
 
3.0%
4 966
 
3.0%
Other values (10) 3266
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48836
59.9%
ASCII 32729
40.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13453
41.1%
1 2831
 
8.6%
( 2688
 
8.2%
) 2688
 
8.2%
2 1726
 
5.3%
, 1511
 
4.6%
3 1402
 
4.3%
5 1052
 
3.2%
0 969
 
3.0%
4 966
 
3.0%
Other values (34) 3443
 
10.5%
Hangul
ValueCountFrequency (%)
5752
 
11.8%
3767
 
7.7%
3525
 
7.2%
2967
 
6.1%
2930
 
6.0%
2898
 
5.9%
2769
 
5.7%
1438
 
2.9%
1386
 
2.8%
1343
 
2.8%
Other values (367) 20061
41.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct971
Distinct (%)33.8%
Missing409
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean42156.688
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:31.241954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41089
Q141545
median42190
Q342738
95-th percentile42986
Maximum43024
Range2024
Interquartile range (IQR)1193

Descriptive statistics

Standard deviation640.7827
Coefficient of variation (CV)0.015200025
Kurtosis-1.3366732
Mean42156.688
Median Absolute Deviation (MAD)596
Skewness-0.23856966
Sum1.2103185 × 108
Variance410602.47
MonotonicityNot monotonic
2023-12-11T04:20:31.397940image/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%
42709 16
 
0.5%
42974 16
 
0.5%
42979 16
 
0.5%
42921 15
 
0.5%
41590 14
 
0.4%
42982 14
 
0.4%
Other values (961) 2706
82.5%
(Missing) 409
 
12.5%
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%
Distinct2732
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
2023-12-11T04:20:31.675307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.9707317
Min length2

Characters and Unicode

Total characters26144
Distinct characters571
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

Unique2325 ?
Unique (%)70.9%

Sample

1st row유니온병원
2nd row닥터굿재활의학병원
3rd row브이성형외과의원
4th row성모유치원
5th row삼덕청아람어린이집
ValueCountFrequency (%)
어린이집 88
 
2.4%
주식회사 44
 
1.2%
사회복지법인 31
 
0.8%
국공립 20
 
0.5%
유치원 13
 
0.3%
계명대학교 10
 
0.3%
의료법인 7
 
0.2%
경창산업(주 6
 
0.2%
참좋은어린이집 6
 
0.2%
대구점 6
 
0.2%
Other values (2827) 3493
93.8%
2023-12-11T04:20:32.090616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1312
 
5.0%
1104
 
4.2%
1063
 
4.1%
1063
 
4.1%
1024
 
3.9%
778
 
3.0%
661
 
2.5%
621
 
2.4%
593
 
2.3%
466
 
1.8%
Other values (561) 17459
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24575
94.0%
Close Punctuation 452
 
1.7%
Open Punctuation 447
 
1.7%
Space Separator 444
 
1.7%
Uppercase Letter 121
 
0.5%
Decimal Number 70
 
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 (%)
1312
 
5.3%
1104
 
4.5%
1063
 
4.3%
1063
 
4.3%
1024
 
4.2%
778
 
3.2%
661
 
2.7%
621
 
2.5%
593
 
2.4%
466
 
1.9%
Other values (520) 15890
64.7%
Uppercase Letter
ValueCountFrequency (%)
S 20
16.5%
K 14
11.6%
M 10
 
8.3%
B 10
 
8.3%
T 8
 
6.6%
A 7
 
5.8%
G 6
 
5.0%
D 6
 
5.0%
H 6
 
5.0%
I 5
 
4.1%
Other values (12) 29
24.0%
Decimal Number
ValueCountFrequency (%)
2 24
34.3%
1 18
25.7%
0 12
17.1%
3 8
 
11.4%
4 5
 
7.1%
6 2
 
2.9%
5 1
 
1.4%
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 (%)
) 452
100.0%
Open Punctuation
ValueCountFrequency (%)
( 447
100.0%
Space Separator
ValueCountFrequency (%)
444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24575
94.0%
Common 1435
 
5.5%
Latin 134
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1312
 
5.3%
1104
 
4.5%
1063
 
4.3%
1063
 
4.3%
1024
 
4.2%
778
 
3.2%
661
 
2.7%
621
 
2.5%
593
 
2.4%
466
 
1.9%
Other values (520) 15890
64.7%
Latin
ValueCountFrequency (%)
S 20
14.9%
K 14
 
10.4%
M 10
 
7.5%
B 10
 
7.5%
e 8
 
6.0%
T 8
 
6.0%
A 7
 
5.2%
G 6
 
4.5%
D 6
 
4.5%
H 6
 
4.5%
Other values (16) 39
29.1%
Common
ValueCountFrequency (%)
) 452
31.5%
( 447
31.1%
444
30.9%
2 24
 
1.7%
1 18
 
1.3%
0 12
 
0.8%
- 11
 
0.8%
3 8
 
0.6%
4 5
 
0.3%
. 5
 
0.3%
Other values (5) 9
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24575
94.0%
ASCII 1568
 
6.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1312
 
5.3%
1104
 
4.5%
1063
 
4.3%
1063
 
4.3%
1024
 
4.2%
778
 
3.2%
661
 
2.7%
621
 
2.5%
593
 
2.4%
466
 
1.9%
Other values (520) 15890
64.7%
ASCII
ValueCountFrequency (%)
) 452
28.8%
( 447
28.5%
444
28.3%
2 24
 
1.5%
S 20
 
1.3%
1 18
 
1.1%
K 14
 
0.9%
0 12
 
0.8%
- 11
 
0.7%
M 10
 
0.6%
Other values (30) 116
 
7.4%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct3015
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172028 × 1013
Minimum2.0010823 × 1013
Maximum2.0221128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:32.249574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010823 × 1013
5-th percentile2.0060131 × 1013
Q12.0161223 × 1013
median2.0180908 × 1013
Q32.0210306 × 1013
95-th percentile2.022081 × 1013
Maximum2.0221128 × 1013
Range2.1030517 × 1011
Interquartile range (IQR)4.9083007 × 1010

Descriptive statistics

Standard deviation4.8284334 × 1010
Coefficient of variation (CV)0.0023936282
Kurtosis1.4498687
Mean2.0172028 × 1013
Median Absolute Deviation (MAD)2.9205515 × 1010
Skewness-1.4267012
Sum6.6164251 × 1016
Variance2.3313769 × 1021
MonotonicityNot monotonic
2023-12-11T04:20:32.391019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170822182146 200
 
6.1%
20020226000000 7
 
0.2%
20060612000000 7
 
0.2%
20051014000000 6
 
0.2%
20020513000000 5
 
0.2%
20170822183820 5
 
0.2%
20020321000000 5
 
0.2%
20020912000000 4
 
0.1%
20060802000000 4
 
0.1%
20050412000000 3
 
0.1%
Other values (3005) 3034
92.5%
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 (%)
20221128165721 1
< 0.1%
20221128103009 1
< 0.1%
20221124152323 1
< 0.1%
20221123144722 1
< 0.1%
20221123130628 1
< 0.1%
20221121171613 1
< 0.1%
20221121143051 1
< 0.1%
20221121104051 1
< 0.1%
20221118155704 1
< 0.1%
20221118144523 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
I
1716 
U
1564 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1716
52.3%
U 1564
47.7%

Length

2023-12-11T04:20:32.517396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:32.621988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1716
52.3%
u 1564
47.7%
Distinct675
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-30 02:40:00
2023-12-11T04:20:32.730346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:20:32.875470image/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 size25.8 KiB
어린이집
1030 
집단급식소
811 
학교
476 
산업체
391 
병원
283 
Other values (6)
289 

Length

Max length8
Median length6
Mean length3.8115854
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 1030
31.4%
집단급식소 811
24.7%
학교 476
14.5%
산업체 391
 
11.9%
병원 283
 
8.6%
사회복지시설 154
 
4.7%
공공기관 73
 
2.2%
기타 집단급식소 46
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2023-12-11T04:20:33.002213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1030
31.0%
집단급식소 857
25.8%
학교 476
14.3%
산업체 391
 
11.8%
병원 283
 
8.5%
사회복지시설 154
 
4.6%
공공기관 73
 
2.2%
기타 46
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2312
Distinct (%)71.8%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean341501.76
Minimum324456.69
Maximum358275.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:33.140962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324456.69
5-th percentile331226.77
Q1337437.58
median340977.21
Q3345915.73
95-th percentile353740.64
Maximum358275.31
Range33818.613
Interquartile range (IQR)8478.1547

Descriptive statistics

Standard deviation6284.8593
Coefficient of variation (CV)0.018403593
Kurtosis-0.23732096
Mean341501.76
Median Absolute Deviation (MAD)4379.9199
Skewness0.14440123
Sum1.0999772 × 109
Variance39499457
MonotonicityNot monotonic
2023-12-11T04:20:33.270992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336403.914140796 18
 
0.5%
347152.1669896 12
 
0.4%
342935.432333719 10
 
0.3%
334924.366071286 9
 
0.3%
345299.742438478 9
 
0.3%
334461.497981241 7
 
0.2%
339945.887945773 7
 
0.2%
344458.939850488 7
 
0.2%
343666.342763285 7
 
0.2%
339652.783261692 6
 
0.2%
Other values (2302) 3129
95.4%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
324456.694801092 5
0.2%
324830.65034668 1
 
< 0.1%
326346.61064715 1
 
< 0.1%
326589.033997076 1
 
< 0.1%
326967.70547917 1
 
< 0.1%
327056.571282177 1
 
< 0.1%
327108.439044894 1
 
< 0.1%
327220.130902183 1
 
< 0.1%
327251.925895668 1
 
< 0.1%
327291.398763681 2
 
0.1%
ValueCountFrequency (%)
358275.307432689 2
0.1%
358060.647418873 1
< 0.1%
358034.101424068 2
0.1%
357646.727977937 1
< 0.1%
356963.492593834 1
< 0.1%
356797.573679511 1
< 0.1%
356689.075456792 1
< 0.1%
356548.114071857 1
< 0.1%
356546.081154394 1
< 0.1%
356490.396358525 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2312
Distinct (%)71.8%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean262362.92
Minimum237677.09
Maximum279113.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:33.421904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237677.09
5-th percentile248697.14
Q1260295.98
median262997.25
Q3265715.14
95-th percentile271864.98
Maximum279113.7
Range41436.604
Interquartile range (IQR)5419.1685

Descriptive statistics

Standard deviation6378.9076
Coefficient of variation (CV)0.024313297
Kurtosis2.8092754
Mean262362.92
Median Absolute Deviation (MAD)2710.2517
Skewness-1.2220068
Sum8.4507097 × 108
Variance40690462
MonotonicityNot monotonic
2023-12-11T04:20:33.566232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257154.473732552 18
 
0.5%
256419.713277812 12
 
0.4%
264310.97571078 10
 
0.3%
256766.769217567 9
 
0.3%
266806.443246079 9
 
0.3%
262699.052324095 7
 
0.2%
261502.602455352 7
 
0.2%
267007.8061004 7
 
0.2%
261647.51640882 7
 
0.2%
269449.810238624 6
 
0.2%
Other values (2302) 3129
95.4%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
237677.093670862 1
< 0.1%
237682.121456924 1
< 0.1%
237830.865376381 2
0.1%
237836.876877777 1
< 0.1%
237924.538923422 1
< 0.1%
237955.258609361 1
< 0.1%
238221.227882158 1
< 0.1%
238246.501108485 1
< 0.1%
238535.276618296 1
< 0.1%
238564.949793576 1
< 0.1%
ValueCountFrequency (%)
279113.697219023 2
 
0.1%
278909.058905474 2
 
0.1%
278665.856239324 5
0.2%
278304.138333655 1
 
< 0.1%
278013.821040369 1
 
< 0.1%
277628.249514032 2
 
0.1%
277437.990648462 1
 
< 0.1%
276944.857555321 3
0.1%
276764.111561122 1
 
< 0.1%
276154.019724205 3
0.1%

위생업태명
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
어린이집
1030 
집단급식소
811 
학교
476 
산업체
391 
병원
283 
Other values (6)
289 

Length

Max length8
Median length6
Mean length3.8115854
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 1030
31.4%
집단급식소 811
24.7%
학교 476
14.5%
산업체 391
 
11.9%
병원 283
 
8.6%
사회복지시설 154
 
4.7%
공공기관 73
 
2.2%
기타 집단급식소 46
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2023-12-11T04:20:33.710718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1030
31.0%
집단급식소 857
25.8%
학교 476
14.3%
산업체 391
 
11.8%
병원 283
 
8.5%
사회복지시설 154
 
4.6%
공공기관 73
 
2.2%
기타 46
 
1.4%
수련원 8
 
0.2%
기숙사 6
 
0.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:33.844880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:33.939442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:34.046596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:34.168868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
상수도전용
2607 
<NA>
654 
지하수전용
 
18
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length5
Mean length4.804878
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2607
79.5%
<NA> 654
 
19.9%
지하수전용 18
 
0.5%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2023-12-11T04:20:34.588110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:34.705667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2607
79.4%
na 654
 
19.9%
지하수전용 18
 
0.5%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:34.847616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:34.954679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%

본사직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)1.3%
Missing1062
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean0.75112714
Minimum0
Maximum160
Zeros1998
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:35.059405image/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 deviation5.318567
Coefficient of variation (CV)7.0807813
Kurtosis481.45729
Mean0.75112714
Median Absolute Deviation (MAD)0
Skewness19.304155
Sum1666
Variance28.287155
MonotonicityNot monotonic
2023-12-11T04:20:35.188663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1998
60.9%
1 47
 
1.4%
2 33
 
1.0%
3 25
 
0.8%
4 18
 
0.5%
12 12
 
0.4%
6 12
 
0.4%
10 11
 
0.3%
5 10
 
0.3%
8 9
 
0.3%
Other values (19) 43
 
1.3%
(Missing) 1062
32.4%
ValueCountFrequency (%)
0 1998
60.9%
1 47
 
1.4%
2 33
 
1.0%
3 25
 
0.8%
4 18
 
0.5%
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%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:35.341958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:35.466137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:35.600401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:35.741122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
2823 
0
457 

Length

Max length4
Median length4
Mean length3.5820122
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> 2823
86.1%
0 457
 
13.9%

Length

2023-12-11T04:20:35.881325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:36.042187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
86.1%
0 457
 
13.9%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
3050 
자가
 
218
임대
 
12

Length

Max length4
Median length4
Mean length3.8597561
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> 3050
93.0%
자가 218
 
6.6%
임대 12
 
0.4%

Length

2023-12-11T04:20:36.201384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:36.347438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3050
93.0%
자가 218
 
6.6%
임대 12
 
0.4%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
1675 
0
1605 

Length

Max length4
Median length4
Mean length2.5320122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1675
51.1%
0 1605
48.9%

Length

2023-12-11T04:20:36.504543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:36.673412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1675
51.1%
0 1605
48.9%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.8 KiB
<NA>
1675 
0
1605 

Length

Max length4
Median length4
Mean length2.5320122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1675
51.1%
0 1605
48.9%

Length

2023-12-11T04:20:36.831327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:20:36.969425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1675
51.1%
0 1605
48.9%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
3277 
True
 
3
ValueCountFrequency (%)
False 3277
99.9%
True 3
 
0.1%
2023-12-11T04:20:37.087519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct1694
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.931241
Minimum0
Maximum7384.44
Zeros672
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size29.0 KiB
2023-12-11T04:20:37.210606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.1
median22.5
Q369.905
95-th percentile299.7435
Maximum7384.44
Range7384.44
Interquartile range (IQR)61.805

Descriptive statistics

Standard deviation188.72746
Coefficient of variation (CV)2.5527431
Kurtosis696.75614
Mean73.931241
Median Absolute Deviation (MAD)22.5
Skewness19.684738
Sum242494.47
Variance35618.055
MonotonicityNot monotonic
2023-12-11T04:20:37.356741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 672
 
20.5%
20.0 35
 
1.1%
15.0 30
 
0.9%
30.0 21
 
0.6%
12.0 17
 
0.5%
16.0 17
 
0.5%
10.0 13
 
0.4%
50.0 12
 
0.4%
45.0 12
 
0.4%
35.0 12
 
0.4%
Other values (1684) 2439
74.4%
ValueCountFrequency (%)
0.0 672
20.5%
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 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3280
Missing (%)100.0%
Memory size29.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소07_21_02_P34100003410000-105-2015-0000520150810<NA>3폐업2폐업20210427<NA><NA><NA>053 425952027.74700421대구광역시 중구 동인동1가 0275-0001 지상8층대구광역시 중구 동덕로 197 (동인동1가, 지상8층)41911유니온병원20210427132217U2021-04-29 02:40:00.0병원344766.20158264758.014933병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N18.44<NA><NA><NA>
12집단급식소07_21_02_P34100003410000-105-2015-0000620150819<NA>3폐업2폐업20160523<NA><NA><NA>053 210123473.92700060대구광역시 중구 남일동 0036-0001번지 지상15층대구광역시 중구 국채보상로 582 (남일동, 지상15층)41937닥터굿재활의학병원20160224174215I2018-08-31 23:59:59.0병원343908.47526264557.544338병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N26.68<NA><NA><NA>
23집단급식소07_21_02_P34100003410000-105-2016-0000320161110<NA>3폐업2폐업20201022<NA><NA><NA><NA>90.38700092대구광역시 중구 동성로2가 0122 지상4층대구광역시 중구 동성로 17 (동성로2가, 지상4층)41937브이성형외과의원20201022144944U2020-10-24 02:40:00.0병원343962.348072264339.229846병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N19.88<NA><NA><NA>
34집단급식소07_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>
45집단급식소07_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>
56집단급식소07_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>
67집단급식소07_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>
78집단급식소07_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>
89집단급식소07_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>
910집단급식소07_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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32713272집단급식소07_21_02_P34800003480000-105-2016-0000920160302<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2383793.96<NA>대구광역시 달성군 유가읍 봉리 597대구광역시 달성군 유가읍 테크노북로 144, 1층43015대구비슬초등학교20221004113540U2022-10-06 02:40:00.0학교331828.248119244996.495226학교00<NA><NA>상수도전용00000<NA>00N229.76<NA><NA><NA>
32723273집단급식소07_21_02_P34800003480000-105-2016-0001020160302<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2105225.48<NA>대구광역시 달성군 유가읍 봉리 597대구광역시 달성군 유가읍 테크노북로 142, 4층43015대구비슬유치원20221004113644U2022-10-06 02:40:00.0어린이집331828.248119244996.495226어린이집00<NA><NA>상수도전용00000<NA>00N61.8<NA><NA><NA>
32733274집단급식소07_21_02_P34800003480000-105-2016-0001120160303<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2294744.70711815대구광역시 달성군 다사읍 죽곡리 820대구광역시 달성군 다사읍 대실역남로1길 31, 2층42919대구대실초등학교20221004105348U2022-10-06 02:40:00.0학교332546.919668262432.60402학교00<NA><NA>상수도전용00000<NA>00N118.9<NA><NA><NA>
32743275집단급식소07_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>
32753276집단급식소07_21_02_P34800003480000-105-2001-0000220011106<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3854<NA>711861대구광역시 달성군 가창면 냉천리 772-2대구광역시 달성군 가창면 원정길 242938가창중학교20221004113317U2022-10-06 02:40:00.0학교348595.045773253897.849332학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
32763277집단급식소07_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>
32773278집단급식소07_21_02_P34800003480000-105-2003-0000120030328<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 1550<NA>711831대구광역시 달성군 화원읍 구라리 1553대구광역시 달성군 화원읍 성천로42길 242950대구천내초등학교20221004114318U2022-10-06 02:40:00.0학교335711.334336257735.387756학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
32783279집단급식소07_21_02_P34800003480000-105-2003-0000220030329<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3396<NA>711838대구광역시 달성군 화원읍 본리리 104-2대구광역시 달성군 화원읍 성암로 4842966화원중학교20221004114335U2022-10-06 02:40:00.0학교336388.666416256457.442957학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
32793280집단급식소07_21_02_P34800003480000-105-2015-0001420150717<NA>1영업/정상1영업<NA><NA><NA><NA>053 583 9344281.87<NA>대구광역시 달성군 유가읍 상리 915-1번지 4동대구광역시 달성군 유가읍 테크노중앙대로 193, 4동 1층43020(주)민영산업20150817112109I2018-08-31 23:59:59.0산업체331682.337513244067.634607산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N73.02<NA><NA><NA>