Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells144049
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric15
Categorical14
Text7
Unsupported9
DateTime1
Boolean1

Dataset

Description22년11월_6270000_대구광역시_07_22_03_P_건강기능식품일반판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097155&dataSetDetailId=DDI_0000097193&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
급수시설구분명 is highly imbalanced (69.3%)Imbalance
공장생산직직원수 is highly imbalanced (63.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2935 (29.3%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 5475 (54.8%) missing valuesMissing
소재지면적 has 4220 (42.2%) missing valuesMissing
소재지우편번호 has 126 (1.3%) missing valuesMissing
도로명전체주소 has 1878 (18.8%) missing valuesMissing
도로명우편번호 has 1939 (19.4%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 243 (2.4%) missing valuesMissing
좌표정보(Y) has 243 (2.4%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
본사직원수 has 3503 (35.0%) missing valuesMissing
공장사무직직원수 has 3503 (35.0%) missing valuesMissing
공장판매직직원수 has 3502 (35.0%) missing valuesMissing
보증액 has 8250 (82.5%) missing valuesMissing
월세액 has 8249 (82.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 9976 (99.8%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -44.80320221)Skewed
본사직원수 is highly skewed (γ1 = 23.89373222)Skewed
공장사무직직원수 is highly skewed (γ1 = 26.00048399)Skewed
공장판매직직원수 is highly skewed (γ1 = 24.31476467)Skewed
보증액 is highly skewed (γ1 = 39.69910042)Skewed
월세액 is highly skewed (γ1 = 20.24118841)Skewed
시설총규모 is highly skewed (γ1 = 48.86486371)Skewed
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
업태구분명 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
본사직원수 has 6458 (64.6%) zerosZeros
공장사무직직원수 has 6288 (62.9%) zerosZeros
공장판매직직원수 has 5816 (58.2%) zerosZeros
보증액 has 1742 (17.4%) zerosZeros
월세액 has 1742 (17.4%) zerosZeros
시설총규모 has 9858 (98.6%) zerosZeros

Reproduction

Analysis started2024-04-20 13:58:15.956670
Analysis finished2024-04-20 13:58:19.218048
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8296.1842
Minimum2
Maximum16598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:19.474075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile836.8
Q14189.75
median8290
Q312400.25
95-th percentile15755.1
Maximum16598
Range16596
Interquartile range (IQR)8210.5

Descriptive statistics

Standard deviation4778.217
Coefficient of variation (CV)0.57595358
Kurtosis-1.188481
Mean8296.1842
Median Absolute Deviation (MAD)4107
Skewness-0.0025114609
Sum82961842
Variance22831358
MonotonicityNot monotonic
2024-04-20T22:58:19.993735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2326 1
 
< 0.1%
13072 1
 
< 0.1%
10251 1
 
< 0.1%
7006 1
 
< 0.1%
9726 1
 
< 0.1%
13870 1
 
< 0.1%
2756 1
 
< 0.1%
5802 1
 
< 0.1%
2783 1
 
< 0.1%
4043 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
16598 1
< 0.1%
16597 1
< 0.1%
16596 1
< 0.1%
16595 1
< 0.1%
16594 1
< 0.1%
16593 1
< 0.1%
16591 1
< 0.1%
16590 1
< 0.1%
16588 1
< 0.1%
16587 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건강기능식품일반판매업
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

Length

2024-04-20T22:58:20.325642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:20.481769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_03_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_03_P
2nd row07_22_03_P
3rd row07_22_03_P
4th row07_22_03_P
5th row07_22_03_P

Common Values

ValueCountFrequency (%)
07_22_03_P 10000
100.0%

Length

2024-04-20T22:58:20.643267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:20.848268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_03_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448417
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:21.114607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21217.189
Coefficient of variation (CV)0.0061527331
Kurtosis-1.0715479
Mean3448417
Median Absolute Deviation (MAD)20000
Skewness-0.41400335
Sum3.448417 × 1010
Variance4.5016913 × 108
MonotonicityNot monotonic
2024-04-20T22:58:21.557363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2126
21.3%
3460000 1878
18.8%
3450000 1731
17.3%
3420000 1416
14.2%
3410000 820
 
8.2%
3440000 743
 
7.4%
3430000 660
 
6.6%
3480000 626
 
6.3%
ValueCountFrequency (%)
3410000 820
 
8.2%
3420000 1416
14.2%
3430000 660
 
6.6%
3440000 743
 
7.4%
3450000 1731
17.3%
3460000 1878
18.8%
3470000 2126
21.3%
3480000 626
 
6.3%
ValueCountFrequency (%)
3480000 626
 
6.3%
3470000 2126
21.3%
3460000 1878
18.8%
3450000 1731
17.3%
3440000 743
 
7.4%
3430000 660
 
6.6%
3420000 1416
14.2%
3410000 820
 
8.2%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T22:58:22.302691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3420000-134-2010-00029
2nd row3450000-134-2005-00096
3rd row3450000-134-2004-00356
4th row3420000-134-2018-00043
5th row3470000-134-2010-00242
ValueCountFrequency (%)
3420000-134-2010-00029 1
 
< 0.1%
3440000-134-2009-00005 1
 
< 0.1%
3460000-134-2004-00067 1
 
< 0.1%
3420000-134-2013-00147 1
 
< 0.1%
3460000-134-2014-00035 1
 
< 0.1%
3450000-134-2009-00194 1
 
< 0.1%
3460000-134-2020-00141 1
 
< 0.1%
3470000-134-2017-00002 1
 
< 0.1%
3420000-134-2004-00168 1
 
< 0.1%
3470000-134-2004-00166 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-20T22:58:23.439662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83539
38.0%
- 30000
 
13.6%
4 24736
 
11.2%
3 23739
 
10.8%
1 21600
 
9.8%
2 17636
 
8.0%
7 4457
 
2.0%
5 4413
 
2.0%
6 4229
 
1.9%
8 2927
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83539
44.0%
4 24736
 
13.0%
3 23739
 
12.5%
1 21600
 
11.4%
2 17636
 
9.3%
7 4457
 
2.3%
5 4413
 
2.3%
6 4229
 
2.2%
8 2927
 
1.5%
9 2724
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83539
38.0%
- 30000
 
13.6%
4 24736
 
11.2%
3 23739
 
10.8%
1 21600
 
9.8%
2 17636
 
8.0%
7 4457
 
2.0%
5 4413
 
2.0%
6 4229
 
1.9%
8 2927
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83539
38.0%
- 30000
 
13.6%
4 24736
 
11.2%
3 23739
 
10.8%
1 21600
 
9.8%
2 17636
 
8.0%
7 4457
 
2.0%
5 4413
 
2.0%
6 4229
 
1.9%
8 2927
 
1.3%

인허가일자
Real number (ℝ)

Distinct3574
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129948
Minimum20040204
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:23.856053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040204
5-th percentile20040618
Q120090408
median20130116
Q320190104
95-th percentile20220517
Maximum20221130
Range180926
Interquartile range (IQR)99696

Descriptive statistics

Standard deviation58856.713
Coefficient of variation (CV)0.0029238383
Kurtosis-1.2118623
Mean20129948
Median Absolute Deviation (MAD)49995.5
Skewness0.018057266
Sum2.0129948 × 1011
Variance3.4641127 × 109
MonotonicityNot monotonic
2024-04-20T22:58:24.315118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040618 207
 
2.1%
20040617 74
 
0.7%
20040616 35
 
0.4%
20150423 30
 
0.3%
20040614 29
 
0.3%
20040917 26
 
0.3%
20040831 26
 
0.3%
20040621 25
 
0.2%
20040916 24
 
0.2%
20131204 24
 
0.2%
Other values (3564) 9500
95.0%
ValueCountFrequency (%)
20040204 1
 
< 0.1%
20040214 1
 
< 0.1%
20040224 1
 
< 0.1%
20040304 2
< 0.1%
20040320 1
 
< 0.1%
20040323 1
 
< 0.1%
20040326 1
 
< 0.1%
20040402 1
 
< 0.1%
20040407 1
 
< 0.1%
20040408 3
< 0.1%
ValueCountFrequency (%)
20221130 3
 
< 0.1%
20221129 1
 
< 0.1%
20221128 3
 
< 0.1%
20221125 3
 
< 0.1%
20221122 1
 
< 0.1%
20221121 5
0.1%
20221118 8
0.1%
20221117 3
 
< 0.1%
20221116 7
0.1%
20221115 6
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7065 
1
2935 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7065
70.7%
1 2935
29.3%

Length

2024-04-20T22:58:24.713453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:24.911404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7065
70.7%
1 2935
29.3%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7065 
영업/정상
2935 

Length

Max length5
Median length2
Mean length2.8805
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7065
70.7%
영업/정상 2935
29.3%

Length

2024-04-20T22:58:25.277391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:25.599339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7065
70.7%
영업/정상 2935
29.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7065 
1
2935 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 7065
70.7%
1 2935
29.3%

Length

2024-04-20T22:58:26.217053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:26.534368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7065
70.7%
1 2935
29.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7065 
영업
2935 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7065
70.7%
영업 2935
29.3%

Length

2024-04-20T22:58:26.880743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:27.199557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7065
70.7%
영업 2935
29.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct3005
Distinct (%)42.5%
Missing2935
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean20150179
Minimum20040419
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:27.604401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040419
5-th percentile20070122
Q120111228
median20160315
Q320190214
95-th percentile20211224
Maximum20221130
Range180711
Interquartile range (IQR)78986

Descriptive statistics

Standard deviation45528.489
Coefficient of variation (CV)0.0022594583
Kurtosis-0.75537248
Mean20150179
Median Absolute Deviation (MAD)30702
Skewness-0.43570412
Sum1.4236102 × 1011
Variance2.0728433 × 109
MonotonicityNot monotonic
2024-04-20T22:58:28.075149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 58
 
0.6%
20171211 32
 
0.3%
20171228 27
 
0.3%
20171205 26
 
0.3%
20171222 24
 
0.2%
20181203 23
 
0.2%
20171221 23
 
0.2%
20171206 23
 
0.2%
20211231 23
 
0.2%
20171219 21
 
0.2%
Other values (2995) 6785
67.8%
(Missing) 2935
29.3%
ValueCountFrequency (%)
20040419 1
< 0.1%
20040503 1
< 0.1%
20040610 1
< 0.1%
20040624 2
< 0.1%
20040701 1
< 0.1%
20040713 1
< 0.1%
20040714 1
< 0.1%
20040715 1
< 0.1%
20040719 1
< 0.1%
20040802 1
< 0.1%
ValueCountFrequency (%)
20221130 6
0.1%
20221129 1
 
< 0.1%
20221128 9
0.1%
20221124 3
 
< 0.1%
20221123 3
 
< 0.1%
20221122 2
 
< 0.1%
20221121 2
 
< 0.1%
20221118 3
 
< 0.1%
20221116 1
 
< 0.1%
20221115 3
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct4189
Distinct (%)92.6%
Missing5475
Missing (%)54.8%
Memory size156.2 KiB
2024-04-20T22:58:29.587581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.173039
Min length3

Characters and Unicode

Total characters50558
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

Unique3913 ?
Unique (%)86.5%

Sample

1st row8582510
2nd row3264628
3rd row070 78017742
4th row053 795 4967
5th row07041331052
ValueCountFrequency (%)
053 3661
34.3%
070 152
 
1.4%
02 49
 
0.5%
741 35
 
0.3%
791 30
 
0.3%
622 29
 
0.3%
621 25
 
0.2%
752 25
 
0.2%
751 25
 
0.2%
651 24
 
0.2%
Other values (4181) 6613
62.0%
2024-04-20T22:58:31.313116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8102
16.0%
0 7180
14.2%
3 7110
14.1%
6214
12.3%
2 3938
7.8%
7 3689
7.3%
6 3390
6.7%
1 2868
 
5.7%
4 2858
 
5.7%
8 2740
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44344
87.7%
Space Separator 6214
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8102
18.3%
0 7180
16.2%
3 7110
16.0%
2 3938
8.9%
7 3689
8.3%
6 3390
7.6%
1 2868
 
6.5%
4 2858
 
6.4%
8 2740
 
6.2%
9 2469
 
5.6%
Space Separator
ValueCountFrequency (%)
6214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50558
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8102
16.0%
0 7180
14.2%
3 7110
14.1%
6214
12.3%
2 3938
7.8%
7 3689
7.3%
6 3390
6.7%
1 2868
 
5.7%
4 2858
 
5.7%
8 2740
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8102
16.0%
0 7180
14.2%
3 7110
14.1%
6214
12.3%
2 3938
7.8%
7 3689
7.3%
6 3390
6.7%
1 2868
 
5.7%
4 2858
 
5.7%
8 2740
 
5.4%

소재지면적
Text

MISSING 

Distinct1706
Distinct (%)29.5%
Missing4220
Missing (%)42.2%
Memory size156.2 KiB
2024-04-20T22:58:32.792149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.4444637
Min length3

Characters and Unicode

Total characters25689
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

Unique1309 ?
Unique (%)22.6%

Sample

1st row132.00
2nd row6.00
3rd row.50
4th row72.15
5th row12.00
ValueCountFrequency (%)
3.30 746
 
12.9%
00 532
 
9.2%
3.00 372
 
6.4%
1.00 304
 
5.3%
2.00 194
 
3.4%
6.00 126
 
2.2%
6.60 90
 
1.6%
4.00 87
 
1.5%
30.00 64
 
1.1%
20.00 63
 
1.1%
Other values (1696) 3202
55.4%
2024-04-20T22:58:34.386636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7764
30.2%
. 5780
22.5%
3 2972
 
11.6%
1 1897
 
7.4%
2 1607
 
6.3%
6 1221
 
4.8%
5 1126
 
4.4%
4 1100
 
4.3%
8 816
 
3.2%
9 729
 
2.8%
Other values (2) 677
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19905
77.5%
Other Punctuation 5784
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7764
39.0%
3 2972
 
14.9%
1 1897
 
9.5%
2 1607
 
8.1%
6 1221
 
6.1%
5 1126
 
5.7%
4 1100
 
5.5%
8 816
 
4.1%
9 729
 
3.7%
7 673
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 5780
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 25689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7764
30.2%
. 5780
22.5%
3 2972
 
11.6%
1 1897
 
7.4%
2 1607
 
6.3%
6 1221
 
4.8%
5 1126
 
4.4%
4 1100
 
4.3%
8 816
 
3.2%
9 729
 
2.8%
Other values (2) 677
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7764
30.2%
. 5780
22.5%
3 2972
 
11.6%
1 1897
 
7.4%
2 1607
 
6.3%
6 1221
 
4.8%
5 1126
 
4.4%
4 1100
 
4.3%
8 816
 
3.2%
9 729
 
2.8%
Other values (2) 677
 
2.6%

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct923
Distinct (%)9.3%
Missing126
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean704301.43
Minimum367801
Maximum760902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:34.750866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700805
Q1702719.25
median704712
Q3705832
95-th percentile711761
Maximum760902
Range393101
Interquartile range (IQR)3112.75

Descriptive statistics

Standard deviation5259.3947
Coefficient of variation (CV)0.0074675338
Kurtosis2748.0446
Mean704301.43
Median Absolute Deviation (MAD)1879.5
Skewness-44.803202
Sum6.9542724 × 109
Variance27661233
MonotonicityNot monotonic
2024-04-20T22:58:35.207270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 151
 
1.5%
704080 110
 
1.1%
702886 105
 
1.1%
701847 81
 
0.8%
704060 76
 
0.8%
704834 70
 
0.7%
711812 70
 
0.7%
702040 66
 
0.7%
702807 66
 
0.7%
706803 60
 
0.6%
Other values (913) 9019
90.2%
(Missing) 126
 
1.3%
ValueCountFrequency (%)
367801 1
 
< 0.1%
405835 1
 
< 0.1%
700010 14
 
0.1%
700020 7
 
0.1%
700040 6
 
0.1%
700050 2
 
< 0.1%
700060 5
 
0.1%
700070 38
0.4%
700081 2
 
< 0.1%
700082 30
0.3%
ValueCountFrequency (%)
760902 1
 
< 0.1%
718801 1
 
< 0.1%
712804 1
 
< 0.1%
712110 1
 
< 0.1%
711892 1
 
< 0.1%
711891 26
0.3%
711874 6
 
0.1%
711873 4
 
< 0.1%
711872 7
 
0.1%
711864 9
 
0.1%

소재지전체주소
Text

Distinct4809
Distinct (%)48.1%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-20T22:58:36.454621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length27.2004
Min length15

Characters and Unicode

Total characters271868
Distinct characters482
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

Unique3553 ?
Unique (%)35.5%

Sample

1st row대구광역시 동구 효목동 ***-*번지 A동 지하슈퍼마켓
2nd row대구광역시 북구 읍내동 ****번지
3rd row대구광역시 북구 동천동 ***-* 번지
4th row대구광역시 동구 방촌동 ****-**번지
5th row대구광역시 달서구 본리동 ****-*번지 (지상*층)
ValueCountFrequency (%)
대구광역시 9989
19.6%
번지 7180
 
14.1%
3029
 
5.9%
달서구 2124
 
4.2%
호 2052
 
4.0%
수성구 1878
 
3.7%
북구 1728
 
3.4%
동구 1416
 
2.8%
동 1341
 
2.6%
층 1147
 
2.3%
Other values (2497) 19035
37.4%
2024-04-20T22:58:38.193003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 60662
22.3%
49312
18.1%
구 19847
 
7.3%
동 12968
 
4.8%
대 11411
 
4.2%
시 10314
 
3.8%
역 10103
 
3.7%
광 10047
 
3.7%
지 9137
 
3.4%
- 7496
 
2.8%
Other values (472) 70571
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151857
55.9%
Other Punctuation 60867
22.4%
Space Separator 49312
 
18.1%
Dash Punctuation 7496
 
2.8%
Open Punctuation 914
 
0.3%
Close Punctuation 913
 
0.3%
Uppercase Letter 431
 
0.2%
Lowercase Letter 59
 
< 0.1%
Math Symbol 18
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19847
 
13.1%
동 12968
 
8.5%
대 11411
 
7.5%
시 10314
 
6.8%
역 10103
 
6.7%
광 10047
 
6.6%
지 9137
 
6.0%
번 7183
 
4.7%
성 3927
 
2.6%
서 3305
 
2.2%
Other values (426) 53615
35.3%
Uppercase Letter
ValueCountFrequency (%)
A 130
30.2%
B 63
14.6%
P 30
 
7.0%
T 28
 
6.5%
S 23
 
5.3%
C 22
 
5.1%
M 20
 
4.6%
L 19
 
4.4%
H 16
 
3.7%
D 12
 
2.8%
Other values (15) 68
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 49
83.1%
s 3
 
5.1%
w 1
 
1.7%
d 1
 
1.7%
u 1
 
1.7%
l 1
 
1.7%
p 1
 
1.7%
m 1
 
1.7%
o 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
* 60662
99.7%
, 133
 
0.2%
. 47
 
0.1%
/ 22
 
< 0.1%
@ 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
83.3%
+ 3
 
16.7%
Space Separator
ValueCountFrequency (%)
49312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7496
100.0%
Open Punctuation
ValueCountFrequency (%)
( 914
100.0%
Close Punctuation
ValueCountFrequency (%)
) 913
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151858
55.9%
Common 119520
44.0%
Latin 490
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19847
 
13.1%
동 12968
 
8.5%
대 11411
 
7.5%
시 10314
 
6.8%
역 10103
 
6.7%
광 10047
 
6.6%
지 9137
 
6.0%
번 7183
 
4.7%
성 3927
 
2.6%
서 3305
 
2.2%
Other values (427) 53616
35.3%
Latin
ValueCountFrequency (%)
A 130
26.5%
B 63
12.9%
e 49
 
10.0%
P 30
 
6.1%
T 28
 
5.7%
S 23
 
4.7%
C 22
 
4.5%
M 20
 
4.1%
L 19
 
3.9%
H 16
 
3.3%
Other values (24) 90
18.4%
Common
ValueCountFrequency (%)
* 60662
50.8%
49312
41.3%
- 7496
 
6.3%
( 914
 
0.8%
) 913
 
0.8%
, 133
 
0.1%
. 47
 
< 0.1%
/ 22
 
< 0.1%
~ 15
 
< 0.1%
@ 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151857
55.9%
ASCII 120010
44.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 60662
50.5%
49312
41.1%
- 7496
 
6.2%
( 914
 
0.8%
) 913
 
0.8%
, 133
 
0.1%
A 130
 
0.1%
B 63
 
0.1%
e 49
 
< 0.1%
. 47
 
< 0.1%
Other values (35) 291
 
0.2%
Hangul
ValueCountFrequency (%)
구 19847
 
13.1%
동 12968
 
8.5%
대 11411
 
7.5%
시 10314
 
6.8%
역 10103
 
6.7%
광 10047
 
6.6%
지 9137
 
6.0%
번 7183
 
4.7%
성 3927
 
2.6%
서 3305
 
2.2%
Other values (426) 53615
35.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct5940
Distinct (%)73.1%
Missing1878
Missing (%)18.8%
Memory size156.2 KiB
2024-04-20T22:58:39.455506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length56
Mean length33.203768
Min length20

Characters and Unicode

Total characters269681
Distinct characters503
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

Unique4782 ?
Unique (%)58.9%

Sample

1st row대구광역시 북구 구암로**길 * (읍내동)
2nd row대구광역시 동구 화랑로**길 **-*, *층 (방촌동)
3rd row대구광역시 달성군 다사읍 대실역북로*길 ***, *층
4th row대구광역시 북구 칠성시장로*길 ** (칠성동*가,*층)
5th row대구광역시 달서구 월배로**길 **, *층 ***호 (상인동)
ValueCountFrequency (%)
8164
 
15.5%
대구광역시 8117
 
15.4%
층 3057
 
5.8%
호 2940
 
5.6%
동 1855
 
3.5%
달서구 1734
 
3.3%
수성구 1519
 
2.9%
북구 1459
 
2.8%
동구 1192
 
2.3%
중구 634
 
1.2%
Other values (3316) 22022
41.8%
2024-04-20T22:58:41.173939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 48260
17.9%
44576
16.5%
구 17191
 
6.4%
동 12614
 
4.7%
대 10869
 
4.0%
, 8516
 
3.2%
시 8478
 
3.1%
역 8305
 
3.1%
( 8273
 
3.1%
) 8273
 
3.1%
Other values (493) 94326
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149787
55.5%
Other Punctuation 56812
 
21.1%
Space Separator 44576
 
16.5%
Open Punctuation 8273
 
3.1%
Close Punctuation 8273
 
3.1%
Dash Punctuation 1450
 
0.5%
Uppercase Letter 409
 
0.2%
Lowercase Letter 75
 
< 0.1%
Math Symbol 25
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17191
 
11.5%
동 12614
 
8.4%
대 10869
 
7.3%
시 8478
 
5.7%
역 8305
 
5.5%
광 8166
 
5.5%
로 8043
 
5.4%
층 4115
 
2.7%
성 3701
 
2.5%
길 3600
 
2.4%
Other values (438) 64705
43.2%
Uppercase Letter
ValueCountFrequency (%)
A 109
26.7%
B 67
16.4%
S 26
 
6.4%
C 25
 
6.1%
L 20
 
4.9%
T 19
 
4.6%
P 18
 
4.4%
H 18
 
4.4%
M 17
 
4.2%
D 15
 
3.7%
Other values (15) 75
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 54
72.0%
s 3
 
4.0%
o 2
 
2.7%
m 2
 
2.7%
p 2
 
2.7%
l 2
 
2.7%
c 2
 
2.7%
w 1
 
1.3%
i 1
 
1.3%
t 1
 
1.3%
Other values (5) 5
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 48260
84.9%
, 8516
 
15.0%
. 22
 
< 0.1%
/ 9
 
< 0.1%
@ 2
 
< 0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 22
88.0%
+ 3
 
12.0%
Space Separator
ValueCountFrequency (%)
44576
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1450
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149788
55.5%
Common 119409
44.3%
Latin 484
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17191
 
11.5%
동 12614
 
8.4%
대 10869
 
7.3%
시 8478
 
5.7%
역 8305
 
5.5%
광 8166
 
5.5%
로 8043
 
5.4%
층 4115
 
2.7%
성 3701
 
2.5%
길 3600
 
2.4%
Other values (439) 64706
43.2%
Latin
ValueCountFrequency (%)
A 109
22.5%
B 67
13.8%
e 54
11.2%
S 26
 
5.4%
C 25
 
5.2%
L 20
 
4.1%
T 19
 
3.9%
P 18
 
3.7%
H 18
 
3.7%
M 17
 
3.5%
Other values (30) 111
22.9%
Common
ValueCountFrequency (%)
* 48260
40.4%
44576
37.3%
, 8516
 
7.1%
( 8273
 
6.9%
) 8273
 
6.9%
- 1450
 
1.2%
~ 22
 
< 0.1%
. 22
 
< 0.1%
/ 9
 
< 0.1%
+ 3
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149787
55.5%
ASCII 119892
44.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 48260
40.3%
44576
37.2%
, 8516
 
7.1%
( 8273
 
6.9%
) 8273
 
6.9%
- 1450
 
1.2%
A 109
 
0.1%
B 67
 
0.1%
e 54
 
< 0.1%
S 26
 
< 0.1%
Other values (43) 288
 
0.2%
Hangul
ValueCountFrequency (%)
구 17191
 
11.5%
동 12614
 
8.4%
대 10869
 
7.3%
시 8478
 
5.7%
역 8305
 
5.5%
광 8166
 
5.5%
로 8043
 
5.4%
층 4115
 
2.7%
성 3701
 
2.5%
길 3600
 
2.4%
Other values (438) 64705
43.2%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1313
Distinct (%)16.3%
Missing1939
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean42038.776
Minimum21565
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:41.589420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21565
5-th percentile41105
Q141514
median42051
Q342625
95-th percentile42919
Maximum43024
Range21459
Interquartile range (IQR)1111

Descriptive statistics

Standard deviation636.35991
Coefficient of variation (CV)0.015137451
Kurtosis132.15234
Mean42038.776
Median Absolute Deviation (MAD)566
Skewness-4.2900054
Sum3.3887457 × 108
Variance404953.94
MonotonicityNot monotonic
2024-04-20T22:58:41.952999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 49
 
0.5%
41940 38
 
0.4%
41229 36
 
0.4%
41936 35
 
0.4%
41438 34
 
0.3%
41519 31
 
0.3%
42620 29
 
0.3%
42612 28
 
0.3%
42268 28
 
0.3%
41593 27
 
0.3%
Other values (1303) 7726
77.3%
(Missing) 1939
 
19.4%
ValueCountFrequency (%)
21565 1
 
< 0.1%
36716 1
 
< 0.1%
38631 1
 
< 0.1%
38655 1
 
< 0.1%
39894 1
 
< 0.1%
41000 1
 
< 0.1%
41001 3
 
< 0.1%
41002 15
0.1%
41003 6
 
0.1%
41004 1
 
< 0.1%
ValueCountFrequency (%)
43024 2
 
< 0.1%
43019 15
0.1%
43018 16
0.2%
43017 13
0.1%
43016 16
0.2%
43015 6
 
0.1%
43014 3
 
< 0.1%
43013 2
 
< 0.1%
43010 1
 
< 0.1%
43009 11
0.1%

사업장명
Text

Distinct8458
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T22:58:42.856539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length6.8551
Min length1

Characters and Unicode

Total characters68551
Distinct characters924
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7781 ?
Unique (%)77.8%

Sample

1st row거산
2nd row고향숯침대
3rd row세븐일레븐동천2호점
4th row애터미
5th row아이리스
ValueCountFrequency (%)
허브다이어트 110
 
1.0%
주식회사 85
 
0.8%
한국암웨이 65
 
0.6%
애터미 52
 
0.5%
지에스(gs)25 48
 
0.4%
아모레 47
 
0.4%
아모레퍼시픽 46
 
0.4%
세븐일레븐 38
 
0.3%
아리따움 36
 
0.3%
제이유네트워크 34
 
0.3%
Other values (8732) 10745
95.0%
2024-04-20T22:58:44.037488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2735
 
4.0%
스 1670
 
2.4%
점 1534
 
2.2%
) 1445
 
2.1%
( 1435
 
2.1%
1309
 
1.9%
리 1241
 
1.8%
대 1171
 
1.7%
주 1035
 
1.5%
아 998
 
1.5%
Other values (914) 53978
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60057
87.6%
Uppercase Letter 1709
 
2.5%
Close Punctuation 1445
 
2.1%
Open Punctuation 1435
 
2.1%
Space Separator 1309
 
1.9%
Decimal Number 1267
 
1.8%
Lowercase Letter 1165
 
1.7%
Other Punctuation 131
 
0.2%
Dash Punctuation 31
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2735
 
4.6%
스 1670
 
2.8%
점 1534
 
2.6%
리 1241
 
2.1%
대 1171
 
1.9%
주 1035
 
1.7%
아 998
 
1.7%
트 991
 
1.7%
지 904
 
1.5%
구 871
 
1.5%
Other values (838) 46907
78.1%
Lowercase Letter
ValueCountFrequency (%)
e 152
13.0%
o 107
 
9.2%
a 92
 
7.9%
l 82
 
7.0%
n 82
 
7.0%
i 82
 
7.0%
t 73
 
6.3%
r 65
 
5.6%
m 50
 
4.3%
s 44
 
3.8%
Other values (15) 336
28.8%
Uppercase Letter
ValueCountFrequency (%)
S 272
15.9%
G 215
12.6%
O 137
 
8.0%
I 115
 
6.7%
B 104
 
6.1%
C 103
 
6.0%
N 79
 
4.6%
H 76
 
4.4%
A 74
 
4.3%
E 64
 
3.7%
Other values (14) 470
27.5%
Other Punctuation
ValueCountFrequency (%)
& 52
39.7%
. 42
32.1%
, 17
 
13.0%
/ 6
 
4.6%
! 5
 
3.8%
' 2
 
1.5%
; 2
 
1.5%
: 2
 
1.5%
· 1
 
0.8%
# 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
4 514
40.6%
2 272
21.5%
5 235
18.5%
1 80
 
6.3%
3 49
 
3.9%
0 40
 
3.2%
8 26
 
2.1%
6 19
 
1.5%
9 18
 
1.4%
7 14
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 1445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1435
100.0%
Space Separator
ValueCountFrequency (%)
1309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60052
87.6%
Common 5620
 
8.2%
Latin 2874
 
4.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2735
 
4.6%
스 1670
 
2.8%
점 1534
 
2.6%
리 1241
 
2.1%
대 1171
 
1.9%
주 1035
 
1.7%
아 998
 
1.7%
트 991
 
1.7%
지 904
 
1.5%
구 871
 
1.5%
Other values (835) 46902
78.1%
Latin
ValueCountFrequency (%)
S 272
 
9.5%
G 215
 
7.5%
e 152
 
5.3%
O 137
 
4.8%
I 115
 
4.0%
o 107
 
3.7%
B 104
 
3.6%
C 103
 
3.6%
a 92
 
3.2%
l 82
 
2.9%
Other values (39) 1495
52.0%
Common
ValueCountFrequency (%)
) 1445
25.7%
( 1435
25.5%
1309
23.3%
4 514
 
9.1%
2 272
 
4.8%
5 235
 
4.2%
1 80
 
1.4%
& 52
 
0.9%
3 49
 
0.9%
. 42
 
0.7%
Other values (17) 187
 
3.3%
Han
ValueCountFrequency (%)
美 3
60.0%
初 1
 
20.0%
心 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60052
87.6%
ASCII 8491
 
12.4%
CJK 5
 
< 0.1%
None 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2735
 
4.6%
스 1670
 
2.8%
점 1534
 
2.6%
리 1241
 
2.1%
대 1171
 
1.9%
주 1035
 
1.7%
아 998
 
1.7%
트 991
 
1.7%
지 904
 
1.5%
구 871
 
1.5%
Other values (835) 46902
78.1%
ASCII
ValueCountFrequency (%)
) 1445
17.0%
( 1435
16.9%
1309
15.4%
4 514
 
6.1%
2 272
 
3.2%
S 272
 
3.2%
5 235
 
2.8%
G 215
 
2.5%
e 152
 
1.8%
O 137
 
1.6%
Other values (63) 2505
29.5%
CJK
ValueCountFrequency (%)
美 3
60.0%
初 1
 
20.0%
心 1
 
20.0%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9334
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156328 × 1013
Minimum2.0040324 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:44.449374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040324 × 1013
5-th percentile2.0041008 × 1013
Q12.0111111 × 1013
median2.0171222 × 1013
Q32.0201208 × 1013
95-th percentile2.0220811 × 1013
Maximum2.022113 × 1013
Range1.8080617 × 1011
Interquartile range (IQR)9.0097244 × 1010

Descriptive statistics

Standard deviation5.6039304 × 1010
Coefficient of variation (CV)0.0027802337
Kurtosis-0.76611037
Mean2.0156328 × 1013
Median Absolute Deviation (MAD)3.9900991 × 1010
Skewness-0.67365993
Sum2.0156328 × 1017
Variance3.1404036 × 1021
MonotonicityNot monotonic
2024-04-20T22:58:44.884346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041008000000 72
 
0.7%
20040618000000 29
 
0.3%
20040917000000 20
 
0.2%
20040916000000 16
 
0.2%
20040715000000 16
 
0.2%
20040805000000 13
 
0.1%
20040617000000 13
 
0.1%
20040807000000 12
 
0.1%
20040906000000 12
 
0.1%
20040915000000 11
 
0.1%
Other values (9324) 9786
97.9%
ValueCountFrequency (%)
20040324000000 3
< 0.1%
20040401000000 1
 
< 0.1%
20040407000000 1
 
< 0.1%
20040408000000 2
< 0.1%
20040409000000 1
 
< 0.1%
20040419000000 1
 
< 0.1%
20040428000000 1
 
< 0.1%
20040429000000 1
 
< 0.1%
20040430000000 1
 
< 0.1%
20040503000000 1
 
< 0.1%
ValueCountFrequency (%)
20221130172354 1
< 0.1%
20221130170943 1
< 0.1%
20221130160009 1
< 0.1%
20221130154314 1
< 0.1%
20221130154221 1
< 0.1%
20221130145336 1
< 0.1%
20221130144428 1
< 0.1%
20221130142245 1
< 0.1%
20221130140848 1
< 0.1%
20221130134738 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6993 
U
3007 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6993
69.9%
U 3007
30.1%

Length

2024-04-20T22:58:45.125514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:45.390120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6993
69.9%
u 3007
30.1%

데이터갱신일자
Date

Distinct1522
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2024-04-20T22:58:45.721270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T22:58:46.170116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6532
Distinct (%)66.9%
Missing243
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean343172.44
Minimum174169.07
Maximum358228.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:46.686706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174169.07
5-th percentile334590.07
Q1339638.75
median343318.96
Q3346586.1
95-th percentile353899.27
Maximum358228.21
Range184059.14
Interquartile range (IQR)6947.3507

Descriptive statistics

Standard deviation5648.9074
Coefficient of variation (CV)0.016460842
Kurtosis81.744557
Mean343172.44
Median Absolute Deviation (MAD)3558.6886
Skewness-2.6346492
Sum3.3483335 × 109
Variance31910154
MonotonicityNot monotonic
2024-04-20T22:58:46.940890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.241970286 29
 
0.3%
339047.793378934 28
 
0.3%
344686.25933796 26
 
0.3%
346916.265263484 24
 
0.2%
343588.735554802 24
 
0.2%
344052.576927614 24
 
0.2%
340548.969969695 23
 
0.2%
347950.194974987 21
 
0.2%
345032.238220744 16
 
0.2%
341814.212314968 15
 
0.1%
Other values (6522) 9527
95.3%
(Missing) 243
 
2.4%
ValueCountFrequency (%)
174169.067539966 1
 
< 0.1%
326030.831594574 1
 
< 0.1%
326284.269092371 1
 
< 0.1%
326874.570932499 1
 
< 0.1%
327183.454587549 1
 
< 0.1%
327539.027391008 1
 
< 0.1%
327655.665337035 1
 
< 0.1%
327781.518155845 1
 
< 0.1%
327853.173808645 6
0.1%
327870.149368891 1
 
< 0.1%
ValueCountFrequency (%)
358228.205268963 1
< 0.1%
358213.056494159 2
< 0.1%
358060.647418873 2
< 0.1%
358053.700822786 1
< 0.1%
357975.880928076 1
< 0.1%
357934.277019803 1
< 0.1%
357924.560527583 1
< 0.1%
357916.122671764 1
< 0.1%
357672.591920251 1
< 0.1%
357646.727977937 2
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6532
Distinct (%)66.9%
Missing243
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean263387.81
Minimum236836.6
Maximum438974.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:47.201239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236836.6
5-th percentile257515.37
Q1261168.22
median263332.03
Q3265422.36
95-th percentile271709.66
Maximum438974.35
Range202137.75
Interquartile range (IQR)4254.1351

Descriptive statistics

Standard deviation4980.4499
Coefficient of variation (CV)0.018909189
Kurtosis166.94736
Mean263387.81
Median Absolute Deviation (MAD)2131.5916
Skewness4.167447
Sum2.5698748 × 109
Variance24804882
MonotonicityNot monotonic
2024-04-20T22:58:47.523644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404336831 29
 
0.3%
258741.902180368 28
 
0.3%
263958.880864104 26
 
0.3%
263443.713905949 24
 
0.2%
264119.010750105 24
 
0.2%
265131.653371228 24
 
0.2%
272470.830194512 23
 
0.2%
265687.625739554 21
 
0.2%
262949.871621315 16
 
0.2%
263585.32952131 15
 
0.1%
Other values (6522) 9527
95.3%
(Missing) 243
 
2.4%
ValueCountFrequency (%)
236836.599834335 1
 
< 0.1%
238029.007127369 1
 
< 0.1%
240248.646376007 1
 
< 0.1%
240270.873922517 1
 
< 0.1%
240292.022215743 1
 
< 0.1%
240358.722944009 6
0.1%
240365.716050201 1
 
< 0.1%
240473.571874223 4
< 0.1%
240482.499847429 1
 
< 0.1%
240486.594429833 1
 
< 0.1%
ValueCountFrequency (%)
438974.350322758 1
< 0.1%
341169.264390695 1
< 0.1%
278120.26002498 1
< 0.1%
278042.649250442 2
< 0.1%
277799.708684077 2
< 0.1%
277784.134758359 1
< 0.1%
277755.206407657 1
< 0.1%
277718.159532175 1
< 0.1%
276943.388192129 1
< 0.1%
276723.919156869 1
< 0.1%

위생업태명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업장판매
4752 
전자상거래(통신판매업)
2309 
방문판매
1193 
통신판매
1033 
다단계판매
610 
Other values (5)
 
103

Length

Max length14
Median length5
Mean length6.4373
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row영업장판매
2nd row영업장판매
3rd row다단계판매
4th row영업장판매
5th row영업장판매

Common Values

ValueCountFrequency (%)
영업장판매 4752
47.5%
전자상거래(통신판매업) 2309
23.1%
방문판매 1193
 
11.9%
통신판매 1033
 
10.3%
다단계판매 610
 
6.1%
기타(복합 등) 37
 
0.4%
기타 건강기능식품일반판매업 30
 
0.3%
도매업(유통) 21
 
0.2%
전화권유판매 14
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-20T22:58:47.978201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:48.345933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업장판매 4752
47.2%
전자상거래(통신판매업 2309
22.9%
방문판매 1193
 
11.9%
통신판매 1033
 
10.3%
다단계판매 610
 
6.1%
기타(복합 37
 
0.4%
등 37
 
0.4%
기타 30
 
0.3%
건강기능식품일반판매업 30
 
0.3%
도매업(유통 21
 
0.2%
Other values (2) 15
 
0.1%

남성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8279 
0
1721 

Length

Max length4
Median length4
Mean length3.4837
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> 8279
82.8%
0 1721
 
17.2%

Length

2024-04-20T22:58:48.615066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:48.800964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8279
82.8%
0 1721
 
17.2%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8279 
0
1721 

Length

Max length4
Median length4
Mean length3.4837
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> 8279
82.8%
0 1721
 
17.2%

Length

2024-04-20T22:58:48.979699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:49.151955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8279
82.8%
0 1721
 
17.2%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8520 
상수도전용
1470 
간이상수도
 
6
전용상수도(특정시설의 자가용 수도)
 
4

Length

Max length19
Median length4
Mean length4.1536
Min length4

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> 8520
85.2%
상수도전용 1470
 
14.7%
간이상수도 6
 
0.1%
전용상수도(특정시설의 자가용 수도) 4
 
< 0.1%

Length

2024-04-20T22:58:49.530725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:49.860298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8520
85.1%
상수도전용 1470
 
14.7%
간이상수도 6
 
0.1%
전용상수도(특정시설의 4
 
< 0.1%
자가용 4
 
< 0.1%
수도 4
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8291 
0
1709 

Length

Max length4
Median length4
Mean length3.4873
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> 8291
82.9%
0 1709
 
17.1%

Length

2024-04-20T22:58:50.096284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:50.279662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8291
82.9%
0 1709
 
17.1%

본사직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing3503
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean0.0089271972
Minimum0
Maximum6
Zeros6458
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:50.535375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14008828
Coefficient of variation (CV)15.692303
Kurtosis752.63407
Mean0.0089271972
Median Absolute Deviation (MAD)0
Skewness23.893732
Sum58
Variance0.019624726
MonotonicityNot monotonic
2024-04-20T22:58:50.882420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6458
64.6%
1 29
 
0.3%
2 5
 
0.1%
3 3
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 3503
35.0%
ValueCountFrequency (%)
0 6458
64.6%
1 29
 
0.3%
2 5
 
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
< 0.1%
2 5
 
0.1%
1 29
 
0.3%
0 6458
64.6%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.2%
Missing3503
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean0.056795444
Minimum0
Maximum22
Zeros6288
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:51.237710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55764427
Coefficient of variation (CV)9.8184683
Kurtosis877.71499
Mean0.056795444
Median Absolute Deviation (MAD)0
Skewness26.000484
Sum369
Variance0.31096713
MonotonicityNot monotonic
2024-04-20T22:58:51.515997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 6288
62.9%
1 159
 
1.6%
2 25
 
0.2%
4 10
 
0.1%
3 6
 
0.1%
6 3
 
< 0.1%
5 2
 
< 0.1%
17 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
(Missing) 3503
35.0%
ValueCountFrequency (%)
0 6288
62.9%
1 159
 
1.6%
2 25
 
0.2%
3 6
 
0.1%
4 10
 
0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
6 3
 
< 0.1%
5 2
 
< 0.1%
4 10
 
0.1%
3 6
 
0.1%
2 25
 
0.2%
1 159
1.6%

공장판매직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct27
Distinct (%)0.4%
Missing3502
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean0.30994152
Minimum0
Maximum102
Zeros5816
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:51.720875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum102
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2636867
Coefficient of variation (CV)10.530008
Kurtosis664.85511
Mean0.30994152
Median Absolute Deviation (MAD)0
Skewness24.314765
Sum2014
Variance10.651651
MonotonicityNot monotonic
2024-04-20T22:58:52.123041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 5816
58.2%
1 523
 
5.2%
2 57
 
0.6%
3 38
 
0.4%
7 9
 
0.1%
4 9
 
0.1%
5 9
 
0.1%
6 6
 
0.1%
20 4
 
< 0.1%
10 4
 
< 0.1%
Other values (17) 23
 
0.2%
(Missing) 3502
35.0%
ValueCountFrequency (%)
0 5816
58.2%
1 523
 
5.2%
2 57
 
0.6%
3 38
 
0.4%
4 9
 
0.1%
5 9
 
0.1%
6 6
 
0.1%
7 9
 
0.1%
9 2
 
< 0.1%
10 4
 
< 0.1%
ValueCountFrequency (%)
102 1
< 0.1%
100 1
< 0.1%
94 2
< 0.1%
91 1
< 0.1%
80 1
< 0.1%
58 1
< 0.1%
50 1
< 0.1%
40 1
< 0.1%
36 1
< 0.1%
30 2
< 0.1%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6489 
<NA>
3503 
1
 
5
9
 
1
6
 
1

Length

Max length4
Median length1
Mean length2.051
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6489
64.9%
<NA> 3503
35.0%
1 5
 
0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
30 1
 
< 0.1%

Length

2024-04-20T22:58:52.549643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:52.891409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6489
64.9%
na 3503
35.0%
1 5
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
30 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8253 
임대
878 
자가
869 

Length

Max length4
Median length4
Mean length3.6506
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8253
82.5%
임대 878
 
8.8%
자가 869
 
8.7%

Length

2024-04-20T22:58:53.289007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:58:53.631486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8253
82.5%
임대 878
 
8.8%
자가 869
 
8.7%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.3%
Missing8250
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean83428.857
Minimum0
Maximum1 × 108
Zeros1742
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:53.937076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2434483.9
Coefficient of variation (CV)29.180358
Kurtosis1625.3385
Mean83428.857
Median Absolute Deviation (MAD)0
Skewness39.6991
Sum1.460005 × 108
Variance5.926712 × 1012
MonotonicityNot monotonic
2024-04-20T22:58:54.301279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1742
 
17.4%
10000000 2
 
< 0.1%
5000000 2
 
< 0.1%
8000000 2
 
< 0.1%
500 1
 
< 0.1%
100000000 1
 
< 0.1%
(Missing) 8250
82.5%
ValueCountFrequency (%)
0 1742
17.4%
500 1
 
< 0.1%
5000000 2
 
< 0.1%
8000000 2
 
< 0.1%
10000000 2
 
< 0.1%
100000000 1
 
< 0.1%
ValueCountFrequency (%)
100000000 1
 
< 0.1%
10000000 2
 
< 0.1%
8000000 2
 
< 0.1%
5000000 2
 
< 0.1%
500 1
 
< 0.1%
0 1742
17.4%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.4%
Missing8249
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean2284.4318
Minimum0
Maximum1000000
Zeros1742
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:54.529081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1000000
Range1000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39683.478
Coefficient of variation (CV)17.371269
Kurtosis436.09632
Mean2284.4318
Median Absolute Deviation (MAD)0
Skewness20.241188
Sum4000040
Variance1.5747784 × 109
MonotonicityNot monotonic
2024-04-20T22:58:54.801137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1742
 
17.4%
200000 3
 
< 0.1%
800000 2
 
< 0.1%
550000 1
 
< 0.1%
40 1
 
< 0.1%
250000 1
 
< 0.1%
1000000 1
 
< 0.1%
(Missing) 8249
82.5%
ValueCountFrequency (%)
0 1742
17.4%
40 1
 
< 0.1%
200000 3
 
< 0.1%
250000 1
 
< 0.1%
550000 1
 
< 0.1%
800000 2
 
< 0.1%
1000000 1
 
< 0.1%
ValueCountFrequency (%)
1000000 1
 
< 0.1%
800000 2
 
< 0.1%
550000 1
 
< 0.1%
250000 1
 
< 0.1%
200000 3
 
< 0.1%
40 1
 
< 0.1%
0 1742
17.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size97.7 KiB
False
9999 
(Missing)
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
(Missing) 1
 
< 0.1%
2024-04-20T22:58:55.098130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct111
Distinct (%)1.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.62142714
Minimum0
Maximum879.51
Zeros9858
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T22:58:55.372234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum879.51
Range879.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.828505
Coefficient of variation (CV)19.03442
Kurtosis3240.0535
Mean0.62142714
Median Absolute Deviation (MAD)0
Skewness48.864864
Sum6213.65
Variance139.91354
MonotonicityNot monotonic
2024-04-20T22:58:55.624606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9858
98.6%
3.3 11
 
0.1%
3.0 6
 
0.1%
30.0 4
 
< 0.1%
10.0 4
 
< 0.1%
8.64 3
 
< 0.1%
20.0 3
 
< 0.1%
6.6 3
 
< 0.1%
10.8 2
 
< 0.1%
7.1 2
 
< 0.1%
Other values (101) 103
 
1.0%
ValueCountFrequency (%)
0.0 9858
98.6%
0.4 1
 
< 0.1%
0.55 2
 
< 0.1%
0.9 1
 
< 0.1%
1.0 1
 
< 0.1%
2.18 1
 
< 0.1%
2.75 1
 
< 0.1%
3.0 6
 
0.1%
3.18 1
 
< 0.1%
3.3 11
 
0.1%
ValueCountFrequency (%)
879.51 1
< 0.1%
407.45 1
< 0.1%
232.51 1
< 0.1%
232.4 1
< 0.1%
160.62 1
< 0.1%
155.5 1
< 0.1%
149.98 1
< 0.1%
148.17 1
< 0.1%
140.0 1
< 0.1%
126.96 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing9976
Missing (%)99.8%
Memory size156.2 KiB
2024-04-20T22:58:56.296735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length24
Mean length19.416667
Min length4

Characters and Unicode

Total characters466
Distinct characters66
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st rowwww.oyeoldudal.co.kr
2nd rowwww.kongyojung.com
3rd row오픈마켓(옥션, 지마켓)
4th rowwww.muse44.com
5th rowhttps://smartstore.naver.com/beautysmile
ValueCountFrequency (%)
www.herfamilly.co.kr 2
 
6.2%
오픈마켓 2
 
6.2%
11번가 1
 
3.1%
www.oyeoldudal.co.kr 1
 
3.1%
www.44small.com 1
 
3.1%
www.ppeyo-kong.com 1
 
3.1%
https://smartstore.naver.com/salewholesale 1
 
3.1%
www.herbnshop.com 1
 
3.1%
http://sk.idoore.com 1
 
3.1%
www.tocxtoc.com 1
 
3.1%
Other values (20) 20
62.5%
2024-04-20T22:58:57.417089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 49
 
10.5%
. 42
 
9.0%
o 37
 
7.9%
m 25
 
5.4%
e 24
 
5.2%
c 22
 
4.7%
t 21
 
4.5%
r 19
 
4.1%
l 19
 
4.1%
s 16
 
3.4%
Other values (56) 192
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 331
71.0%
Other Punctuation 62
 
13.3%
Other Letter 44
 
9.4%
Decimal Number 12
 
2.6%
Space Separator 8
 
1.7%
Dash Punctuation 3
 
0.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
켓 4
 
9.1%
마 4
 
9.1%
픈 3
 
6.8%
오 3
 
6.8%
션 2
 
4.5%
매 2
 
4.5%
가 2
 
4.5%
번 2
 
4.5%
판 2
 
4.5%
옥 2
 
4.5%
Other values (18) 18
40.9%
Lowercase Letter
ValueCountFrequency (%)
w 49
14.8%
o 37
11.2%
m 25
 
7.6%
e 24
 
7.3%
c 22
 
6.6%
t 21
 
6.3%
r 19
 
5.7%
l 19
 
5.7%
s 16
 
4.8%
a 15
 
4.5%
Other values (15) 84
25.4%
Other Punctuation
ValueCountFrequency (%)
. 42
67.7%
/ 11
 
17.7%
: 5
 
8.1%
, 4
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
4 5
41.7%
0 2
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 333
71.5%
Common 89
 
19.1%
Hangul 44
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
켓 4
 
9.1%
마 4
 
9.1%
픈 3
 
6.8%
오 3
 
6.8%
션 2
 
4.5%
매 2
 
4.5%
가 2
 
4.5%
번 2
 
4.5%
판 2
 
4.5%
옥 2
 
4.5%
Other values (18) 18
40.9%
Latin
ValueCountFrequency (%)
w 49
14.7%
o 37
11.1%
m 25
 
7.5%
e 24
 
7.2%
c 22
 
6.6%
t 21
 
6.3%
r 19
 
5.7%
l 19
 
5.7%
s 16
 
4.8%
a 15
 
4.5%
Other values (17) 86
25.8%
Common
ValueCountFrequency (%)
. 42
47.2%
/ 11
 
12.4%
8
 
9.0%
1 5
 
5.6%
4 5
 
5.6%
: 5
 
5.6%
, 4
 
4.5%
- 3
 
3.4%
0 2
 
2.2%
( 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422
90.6%
Hangul 44
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 49
 
11.6%
. 42
 
10.0%
o 37
 
8.8%
m 25
 
5.9%
e 24
 
5.7%
c 22
 
5.2%
t 21
 
5.0%
r 19
 
4.5%
l 19
 
4.5%
s 16
 
3.8%
Other values (28) 148
35.1%
Hangul
ValueCountFrequency (%)
켓 4
 
9.1%
마 4
 
9.1%
픈 3
 
6.8%
오 3
 
6.8%
션 2
 
4.5%
매 2
 
4.5%
가 2
 
4.5%
번 2
 
4.5%
판 2
 
4.5%
옥 2
 
4.5%
Other values (18) 18
40.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
23252326건강기능식품일반판매업07_22_03_P34200003420000-134-2010-0002920100504<NA>3폐업2폐업20100513<NA><NA><NA><NA>132.00701841대구광역시 동구 효목동 ***-*번지 A동 지하슈퍼마켓<NA><NA>거산20100504161723I2018-08-31 23:59:59.0<NA>347464.052033266264.147834영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
77007701건강기능식품일반판매업07_22_03_P34500003450000-134-2005-0009620050927<NA>3폐업2폐업20130827<NA><NA><NA>85825106.00702849대구광역시 북구 읍내동 ****번지대구광역시 북구 구암로**길 * (읍내동)41438고향숯침대20121019105813I2018-08-31 23:59:59.0<NA>339839.052822271382.921111영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
74687469건강기능식품일반판매업07_22_03_P34500003450000-134-2004-0035620040730<NA>3폐업2폐업20080725<NA><NA><NA>3264628.50702886대구광역시 북구 동천동 ***-* 번지<NA><NA>세븐일레븐동천2호점20041008000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매<NA><NA><NA><NA><NA><NA>0010임대<NA><NA>N0.0<NA><NA><NA>
33933394건강기능식품일반판매업07_22_03_P34200003420000-134-2018-0004320180611<NA>1영업/정상1영업<NA><NA><NA><NA><NA>72.15701804대구광역시 동구 방촌동 ****-**번지대구광역시 동구 화랑로**길 **-*, *층 (방촌동)41147애터미20180629091148I2018-08-31 23:59:59.0<NA>350505.804434265196.448455영업장판매<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
1424914250건강기능식품일반판매업07_22_03_P34700003470000-134-2010-0024220101126<NA>3폐업2폐업20101229<NA><NA><NA><NA><NA>704942대구광역시 달서구 본리동 ****-*번지 (지상*층)<NA><NA>아이리스20101126174451I2018-08-31 23:59:59.0<NA>338199.220648260942.548522영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1628316284건강기능식품일반판매업07_22_03_P34800003480000-134-2021-0002620210309<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711812대구광역시 달성군 다사읍 매곡리 ****-* *층대구광역시 달성군 다사읍 대실역북로*길 ***, *층42910영원물산20210309111051I2021-03-11 00:23:00.0<NA>332092.358674263832.164097전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
70817082건강기능식품일반판매업07_22_03_P34500003450000-134-2009-0018420091208<NA>3폐업2폐업20190725<NA><NA><NA><NA>12.00702061대구광역시 북구 칠성동*가 **번지 *층대구광역시 북구 칠성시장로*길 ** (칠성동*가,*층)41582동양메디20190726103913U2019-07-28 02:40:00.0<NA>344771.141689265107.104474영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1517315174건강기능식품일반판매업07_22_03_P34700003470000-134-2021-0012820210826<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>704817대구광역시 달서구 상인동 ***-*대구광역시 달서구 월배로**길 **, *층 ***호 (상인동)42788디에이치몰(D H몰)20210826092740I2021-08-28 00:22:50.0<NA>338470.328944258229.063037전자상거래(통신판매업)00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
1326013261건강기능식품일반판매업07_22_03_P34700003470000-134-2012-0005620120426<NA>3폐업2폐업20140116<NA><NA><NA>070 78017742<NA>704902대구광역시 달서구 감삼동 **-*번지대구광역시 달서구 죽전길 **-*, *층 (감삼동)<NA>그린나래20120426102650I2018-08-31 23:59:59.0<NA>339064.051004262672.116701영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
39273928건강기능식품일반판매업07_22_03_P34300003430000-134-2012-0003620121107<NA>3폐업2폐업20171020<NA><NA><NA><NA>.80703805대구광역시 서구 내당동 ***번지 상가*동 지하*호대구광역시 서구 평리로 ***, 상가*동 지하*호 (내당동)41848박은지허브다이어트20171020144745I2018-08-31 23:59:59.0<NA>339649.19496263384.517364다단계판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1027210273건강기능식품일반판매업07_22_03_P34600003460000-134-2014-0001520140305<NA>3폐업2폐업20191219<NA><NA><NA>053 753 7207<NA>706903대구광역시 수성구 범어동 ***-***번지 청구푸른마을 ***동 ***호대구광역시 수성구 동대구로 ***, ***동 ***호 (범어동, 청구푸른마을)42102이롬황성주생식대구범어1지점20191219163539U2019-12-21 02:40:00.0<NA>346881.766094262534.085006영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
15511552건강기능식품일반판매업07_22_03_P34200003420000-134-2014-0003020140328<NA>3폐업2폐업20151223<NA><NA><NA>053 202 799530.96701819대구광역시 동구 신암동 ***-*번지대구광역시 동구 아양로 **-* (신암동)41198이니스프리신암점20140328134951I2018-08-31 23:59:59.0<NA>346323.989876265943.624126영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
52765277건강기능식품일반판매업07_22_03_P34400003440000-134-2016-0002120160919<NA>3폐업2폐업20190425<NA><NA><NA>053 477 703097.03705831대구광역시 남구 봉덕동 ***-*번지대구광역시 남구 봉덕로 **, *층 (봉덕동)42446이수상사20190425173939U2019-04-27 02:40:00.0<NA>344201.119486261688.68905기타(복합 등)<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N3.89<NA><NA><NA>
3031건강기능식품일반판매업07_22_03_P34100003410000-134-2011-0006920110801<NA>3폐업2폐업20151229<NA><NA><NA>053 55370969.42700082대구광역시 중구 계산동*가 ****번지 외 *필지 지하*층대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가, 외 *필지 )41936대상(주)웰라이프사업본부20120203101243I2018-08-31 23:59:59.0<NA>343588.735555264119.01075영업장판매<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
1230312304건강기능식품일반판매업07_22_03_P34700003470000-134-2014-0010920140715<NA>3폐업2폐업20150205<NA><NA><NA><NA>20.00704922대구광역시 달서구 신당동 ****-*번지 (지상*층)대구광역시 달서구 계대동문로*길 **, 지상*층 (신당동)42609신나는허브다이어트story20140812140716I2018-08-31 23:59:59.0<NA>335151.838075262828.646311영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1301413015건강기능식품일반판매업07_22_03_P34700003470000-134-2006-0002520060420<NA>3폐업2폐업20111027<NA><NA><NA><NA><NA>704914대구광역시 달서구 본리동 ***-*번지<NA><NA>(주)앤알커뮤니케이션20060420000000I2018-08-31 23:59:59.0<NA>338298.22173260885.948408방문판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
466467건강기능식품일반판매업07_22_03_P34100003410000-134-2016-0002020160630<NA>3폐업2폐업20160811<NA><NA><NA><NA>374.64700160대구광역시 중구 문화동 ****-****번지 지상*층대구광역시 중구 경상감영길 *** (문화동, 지상*층)41913월드라인20160630133749I2018-08-31 23:59:59.0<NA>344183.454943264697.355897기타(복합 등)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
47174718건강기능식품일반판매업07_22_03_P34300003430000-134-2011-0007520111117<NA>1영업/정상1영업<NA><NA><NA><NA>053 563566612.00703839대구광역시 서구 평리동 ***-**번지대구광역시 서구 문화로**길 ** (평리동)41771혜림당 한약 약업사20170926215014I2018-08-31 23:59:59.0<NA>340739.293536265335.907127영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
715716건강기능식품일반판매업07_22_03_P34100003410000-134-2009-0006320090916<NA>3폐업2폐업20110125<NA><NA><NA>053 424384872.00700847대구광역시 중구 동인동*가 ****번지 지상*층<NA><NA>대학당닷컴20090918174136I2018-08-31 23:59:59.0<NA>345020.533281264307.377889영업장판매<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
93559356건강기능식품일반판매업07_22_03_P34600003460000-134-2011-0011820110726<NA>1영업/정상1영업<NA><NA><NA><NA>053 754 0100.00706809대구광역시 수성구 만촌동 ***-** *층대구광역시 수성구 동원로**길 *, *층 (만촌동)42054생활녹즙20210604174621U2021-06-06 02:40:00.0<NA>348053.236583263873.420928영업장판매<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>