Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells158672
Missing cells (%)33.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric15
Categorical13
Text7
Unsupported10
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_03_P_건강기능식품일반판매업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086418&dataSetDetailId=DDI_0000086477&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (98.2%)Imbalance
여성종사자수 is highly imbalanced (98.2%)Imbalance
급수시설구분명 is highly imbalanced (71.2%)Imbalance
공장생산직종업원수 is highly imbalanced (57.3%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2721 (27.2%) 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 4799 (48.0%) missing valuesMissing
소재지면적 has 3761 (37.6%) missing valuesMissing
도로명전체주소 has 2187 (21.9%) missing valuesMissing
도로명우편번호 has 2257 (22.6%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 192 (1.9%) missing valuesMissing
좌표정보(Y) has 192 (1.9%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
본사종업원수 has 4186 (41.9%) missing valuesMissing
공장사무직종업원수 has 4188 (41.9%) missing valuesMissing
공장판매직종업원수 has 4188 (41.9%) missing valuesMissing
보증액 has 9955 (99.6%) missing valuesMissing
월세액 has 9954 (99.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 9975 (99.8%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -46.25662269)Skewed
본사종업원수 is highly skewed (γ1 = 22.07124889)Skewed
공장사무직종업원수 is highly skewed (γ1 = 21.91414477)Skewed
시설총규모 is highly skewed (γ1 = 22.91746035)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
총종업원수 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
본사종업원수 has 5776 (57.8%) zerosZeros
공장사무직종업원수 has 5580 (55.8%) zerosZeros
공장판매직종업원수 has 5000 (50.0%) zerosZeros
시설총규모 has 9833 (98.3%) zerosZeros

Reproduction

Analysis started2023-12-10 19:57:48.906278
Analysis finished2023-12-10 19:57:52.737443
Duration3.83 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%
Mean7004.2339
Minimum1
Maximum13904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:57:53.041432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile704.95
Q13529.75
median7044
Q310476.25
95-th percentile13233.05
Maximum13904
Range13903
Interquartile range (IQR)6946.5

Descriptive statistics

Standard deviation4014.2953
Coefficient of variation (CV)0.5731241
Kurtosis-1.1986135
Mean7004.2339
Median Absolute Deviation (MAD)3473
Skewness-0.014060331
Sum70042339
Variance16114567
MonotonicityNot monotonic
2023-12-11T04:57:53.237987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13894 1
 
< 0.1%
1316 1
 
< 0.1%
8218 1
 
< 0.1%
5876 1
 
< 0.1%
10524 1
 
< 0.1%
12474 1
 
< 0.1%
12484 1
 
< 0.1%
1886 1
 
< 0.1%
6221 1
 
< 0.1%
8600 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
13904 1
< 0.1%
13902 1
< 0.1%
13901 1
< 0.1%
13900 1
< 0.1%
13899 1
< 0.1%
13897 1
< 0.1%
13896 1
< 0.1%
13895 1
< 0.1%
13894 1
< 0.1%
13893 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

2023-12-11T04:57:53.421334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:53.542568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

개방서비스ID
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

2023-12-11T04:57:53.657414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:53.791115image/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%
Mean3448457
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:57:53.917678image/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 deviation21200.804
Coefficient of variation (CV)0.0061479103
Kurtosis-1.0777999
Mean3448457
Median Absolute Deviation (MAD)20000
Skewness-0.42650304
Sum3.448457 × 1010
Variance4.494741 × 108
MonotonicityNot monotonic
2023-12-11T04:57:54.101074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2226
22.3%
3460000 1902
19.0%
3450000 1631
16.3%
3420000 1367
13.7%
3410000 832
 
8.3%
3440000 756
 
7.6%
3430000 714
 
7.1%
3480000 572
 
5.7%
ValueCountFrequency (%)
3410000 832
 
8.3%
3420000 1367
13.7%
3430000 714
 
7.1%
3440000 756
 
7.6%
3450000 1631
16.3%
3460000 1902
19.0%
3470000 2226
22.3%
3480000 572
 
5.7%
ValueCountFrequency (%)
3480000 572
 
5.7%
3470000 2226
22.3%
3460000 1902
19.0%
3450000 1631
16.3%
3440000 756
 
7.6%
3430000 714
 
7.1%
3420000 1367
13.7%
3410000 832
 
8.3%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T04:57:54.378733image/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 row3480000-134-2017-00040
2nd row3450000-134-2004-00334
3rd row3460000-134-2014-00017
4th row3470000-134-2019-00085
5th row3480000-134-2020-00090
ValueCountFrequency (%)
3480000-134-2017-00040 1
 
< 0.1%
3420000-134-2004-00051 1
 
< 0.1%
3420000-134-2009-00111 1
 
< 0.1%
3440000-134-2007-00005 1
 
< 0.1%
3460000-134-2007-00036 1
 
< 0.1%
3450000-134-2010-00077 1
 
< 0.1%
3470000-134-2004-00406 1
 
< 0.1%
3470000-134-2015-00074 1
 
< 0.1%
3470000-134-2016-00041 1
 
< 0.1%
3420000-134-2017-00030 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T04:57:54.820545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84597
38.5%
- 30000
 
13.6%
4 25080
 
11.4%
3 23826
 
10.8%
1 21748
 
9.9%
2 15362
 
7.0%
7 4614
 
2.1%
5 4419
 
2.0%
6 4407
 
2.0%
8 2981
 
1.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84597
44.5%
4 25080
 
13.2%
3 23826
 
12.5%
1 21748
 
11.4%
2 15362
 
8.1%
7 4614
 
2.4%
5 4419
 
2.3%
6 4407
 
2.3%
8 2981
 
1.6%
9 2966
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84597
38.5%
- 30000
 
13.6%
4 25080
 
11.4%
3 23826
 
10.8%
1 21748
 
9.9%
2 15362
 
7.0%
7 4614
 
2.1%
5 4419
 
2.0%
6 4407
 
2.0%
8 2981
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84597
38.5%
- 30000
 
13.6%
4 25080
 
11.4%
3 23826
 
10.8%
1 21748
 
9.9%
2 15362
 
7.0%
7 4614
 
2.1%
5 4419
 
2.0%
6 4407
 
2.0%
8 2981
 
1.4%

인허가일자
Real number (ℝ)

Distinct3268
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113878
Minimum20040204
Maximum20201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:57:55.004047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040204
5-th percentile20040618
Q120071207
median20110714
Q320150909
95-th percentile20200221
Maximum20201030
Range160826
Interquartile range (IQR)79701.75

Descriptive statistics

Standard deviation50275.771
Coefficient of variation (CV)0.0024995563
Kurtosis-1.0675676
Mean20113878
Median Absolute Deviation (MAD)39910
Skewness0.092801742
Sum2.0113878 × 1011
Variance2.5276532 × 109
MonotonicityNot monotonic
2023-12-11T04:57:55.212466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040618 261
 
2.6%
20040617 94
 
0.9%
20040616 39
 
0.4%
20131204 38
 
0.4%
20040614 37
 
0.4%
20040831 31
 
0.3%
20040621 31
 
0.3%
20040615 31
 
0.3%
20150423 29
 
0.3%
20090515 28
 
0.3%
Other values (3258) 9381
93.8%
ValueCountFrequency (%)
20040204 1
< 0.1%
20040214 1
< 0.1%
20040224 1
< 0.1%
20040225 1
< 0.1%
20040304 1
< 0.1%
20040320 1
< 0.1%
20040323 1
< 0.1%
20040326 1
< 0.1%
20040401 1
< 0.1%
20040407 2
< 0.1%
ValueCountFrequency (%)
20201030 2
 
< 0.1%
20201029 3
< 0.1%
20201028 2
 
< 0.1%
20201027 2
 
< 0.1%
20201026 1
 
< 0.1%
20201023 1
 
< 0.1%
20201021 6
0.1%
20201020 3
< 0.1%
20201019 6
0.1%
20201016 5
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
7279 
1
2721 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7279
72.8%
1 2721
 
27.2%

Length

2023-12-11T04:57:55.402830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:55.508817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7279
72.8%
1 2721
 
27.2%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7279 
영업/정상
2721 

Length

Max length5
Median length2
Mean length2.8163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7279
72.8%
영업/정상 2721
 
27.2%

Length

2023-12-11T04:57:55.620006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:55.736885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7279
72.8%
영업/정상 2721
 
27.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7279 
1
2721 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 7279
72.8%
1 2721
 
27.2%

Length

2023-12-11T04:57:55.846904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:55.957445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7279
72.8%
1 2721
 
27.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7279 
영업
2721 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7279
72.8%
영업 2721
 
27.2%

Length

2023-12-11T04:57:56.083426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:57:56.198708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7279
72.8%
영업 2721
 
27.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct2839
Distinct (%)39.0%
Missing2721
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean20141488
Minimum20040503
Maximum20201029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:57:56.340245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040503
5-th percentile20061024
Q120110524
median20150416
Q320171229
95-th percentile20191216
Maximum20201029
Range160526
Interquartile range (IQR)60705

Descriptive statistics

Standard deviation41666.136
Coefficient of variation (CV)0.0020686722
Kurtosis-0.78490696
Mean20141488
Median Absolute Deviation (MAD)30208
Skewness-0.51903675
Sum1.4660989 × 1011
Variance1.7360669 × 109
MonotonicityNot monotonic
2023-12-11T04:57:56.512761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 59
 
0.6%
20171205 38
 
0.4%
20171228 37
 
0.4%
20171222 29
 
0.3%
20181203 26
 
0.3%
20171227 26
 
0.3%
20171221 26
 
0.3%
20171206 24
 
0.2%
20191231 23
 
0.2%
20171219 23
 
0.2%
Other values (2829) 6968
69.7%
(Missing) 2721
 
27.2%
ValueCountFrequency (%)
20040503 1
< 0.1%
20040610 1
< 0.1%
20040624 2
< 0.1%
20040701 1
< 0.1%
20040714 1
< 0.1%
20040715 2
< 0.1%
20040719 1
< 0.1%
20040722 1
< 0.1%
20040819 2
< 0.1%
20040824 1
< 0.1%
ValueCountFrequency (%)
20201029 1
 
< 0.1%
20201028 1
 
< 0.1%
20201023 1
 
< 0.1%
20201022 1
 
< 0.1%
20201021 2
 
< 0.1%
20201020 6
0.1%
20201019 2
 
< 0.1%
20201016 1
 
< 0.1%
20201015 3
< 0.1%
20201014 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 

Distinct4783
Distinct (%)92.0%
Missing4799
Missing (%)48.0%
Memory size156.2 KiB
2023-12-11T04:57:56.917924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.152663
Min length3

Characters and Unicode

Total characters58005
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

Unique4454 ?
Unique (%)85.6%

Sample

1st row053 793 8835
2nd row053 5856695
3rd row070 87596543
4th row053 793 7709
5th row053 586 5444
ValueCountFrequency (%)
053 4186
34.4%
070 176
 
1.4%
02 50
 
0.4%
741 38
 
0.3%
621 35
 
0.3%
791 32
 
0.3%
781 31
 
0.3%
753 29
 
0.2%
752 28
 
0.2%
323 27
 
0.2%
Other values (4705) 7531
61.9%
2023-12-11T04:57:57.540300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9461
16.3%
0 8224
14.2%
3 8129
14.0%
7037
12.1%
2 4484
7.7%
7 4216
7.3%
6 3935
6.8%
4 3262
 
5.6%
1 3211
 
5.5%
8 3192
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50968
87.9%
Space Separator 7037
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9461
18.6%
0 8224
16.1%
3 8129
15.9%
2 4484
8.8%
7 4216
8.3%
6 3935
7.7%
4 3262
 
6.4%
1 3211
 
6.3%
8 3192
 
6.3%
9 2854
 
5.6%
Space Separator
ValueCountFrequency (%)
7037
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9461
16.3%
0 8224
14.2%
3 8129
14.0%
7037
12.1%
2 4484
7.7%
7 4216
7.3%
6 3935
6.8%
4 3262
 
5.6%
1 3211
 
5.5%
8 3192
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9461
16.3%
0 8224
14.2%
3 8129
14.0%
7037
12.1%
2 4484
7.7%
7 4216
7.3%
6 3935
6.8%
4 3262
 
5.6%
1 3211
 
5.5%
8 3192
 
5.5%

소재지면적
Text

MISSING 

Distinct1894
Distinct (%)30.4%
Missing3761
Missing (%)37.6%
Memory size156.2 KiB
2023-12-11T04:57:57.991120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.5029652
Min length3

Characters and Unicode

Total characters28094
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

Unique1429 ?
Unique (%)22.9%

Sample

1st row20.00
2nd row18.00
3rd row3.30
4th row2.00
5th row1.00
ValueCountFrequency (%)
3.30 694
 
11.1%
00 443
 
7.1%
3.00 416
 
6.7%
1.00 302
 
4.8%
2.00 203
 
3.3%
6.00 132
 
2.1%
4.00 106
 
1.7%
6.60 85
 
1.4%
33.00 79
 
1.3%
20.00 78
 
1.3%
Other values (1884) 3701
59.3%
2023-12-11T04:57:58.659826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8296
29.5%
. 6239
22.2%
3 3098
 
11.0%
1 2063
 
7.3%
2 1904
 
6.8%
6 1366
 
4.9%
5 1344
 
4.8%
4 1235
 
4.4%
8 953
 
3.4%
9 847
 
3.0%
Other values (2) 749
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21854
77.8%
Other Punctuation 6240
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8296
38.0%
3 3098
 
14.2%
1 2063
 
9.4%
2 1904
 
8.7%
6 1366
 
6.3%
5 1344
 
6.1%
4 1235
 
5.7%
8 953
 
4.4%
9 847
 
3.9%
7 748
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 6239
> 99.9%
, 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 28094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8296
29.5%
. 6239
22.2%
3 3098
 
11.0%
1 2063
 
7.3%
2 1904
 
6.8%
6 1366
 
4.9%
5 1344
 
4.8%
4 1235
 
4.4%
8 953
 
3.4%
9 847
 
3.0%
Other values (2) 749
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8296
29.5%
. 6239
22.2%
3 3098
 
11.0%
1 2063
 
7.3%
2 1904
 
6.8%
6 1366
 
4.9%
5 1344
 
4.8%
4 1235
 
4.4%
8 953
 
3.4%
9 847
 
3.0%
Other values (2) 749
 
2.7%

소재지우편번호
Real number (ℝ)

SKEWED 

Distinct913
Distinct (%)9.2%
Missing97
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean704316.24
Minimum367801
Maximum718801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:57:58.902172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700804.1
Q1702762
median704750
Q3705832
95-th percentile706944.4
Maximum718801
Range351000
Interquartile range (IQR)3070

Descriptive statistics

Standard deviation5204.0615
Coefficient of variation (CV)0.0073888137
Kurtosis2857.6198
Mean704316.24
Median Absolute Deviation (MAD)1908
Skewness-46.256623
Sum6.9748437 × 109
Variance27082256
MonotonicityNot monotonic
2023-12-11T04:57:59.133191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 173
 
1.7%
704080 118
 
1.2%
702886 108
 
1.1%
704060 85
 
0.9%
704834 80
 
0.8%
701847 74
 
0.7%
711812 70
 
0.7%
706839 68
 
0.7%
706220 64
 
0.6%
702807 62
 
0.6%
Other values (903) 9001
90.0%
(Missing) 97
 
1.0%
ValueCountFrequency (%)
367801 1
 
< 0.1%
405835 1
 
< 0.1%
700010 20
0.2%
700020 4
 
< 0.1%
700030 1
 
< 0.1%
700040 3
 
< 0.1%
700060 6
 
0.1%
700070 42
0.4%
700081 2
 
< 0.1%
700082 34
0.3%
ValueCountFrequency (%)
718801 1
 
< 0.1%
712804 1
 
< 0.1%
712110 1
 
< 0.1%
711893 1
 
< 0.1%
711892 1
 
< 0.1%
711891 19
0.2%
711874 7
 
0.1%
711873 11
0.1%
711872 8
0.1%
711871 3
 
< 0.1%

소재지전체주소
Text

Distinct9025
Distinct (%)90.3%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T04:57:59.723058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length27.511805
Min length17

Characters and Unicode

Total characters275008
Distinct characters484
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8350 ?
Unique (%)83.5%

Sample

1st row대구광역시 달성군 논공읍 북리 803-297번지 1층
2nd row대구광역시 북구 태전동 1066-23 번지 태전대백2차 101동 102호
3rd row대구광역시 수성구 신매동 567-7번지 3층
4th row대구광역시 달서구 상인동 1411-3번지
5th row대구광역시 달성군 가창면 용계리 565-80
ValueCountFrequency (%)
대구광역시 9991
 
19.8%
달서구 2223
 
4.4%
수성구 1902
 
3.8%
북구 1627
 
3.2%
동구 1368
 
2.7%
중구 833
 
1.7%
남구 753
 
1.5%
서구 713
 
1.4%
달성군 572
 
1.1%
대명동 528
 
1.0%
Other values (9598) 29953
59.4%
2023-12-11T04:58:00.570822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48855
17.8%
구 19822
 
7.2%
1 14250
 
5.2%
동 12964
 
4.7%
지 11686
 
4.2%
대 11331
 
4.1%
시 10253
 
3.7%
0 10091
 
3.7%
역 10061
 
3.7%
광 10050
 
3.7%
Other values (474) 115645
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154082
56.0%
Decimal Number 61470
 
22.4%
Space Separator 48855
 
17.8%
Dash Punctuation 7741
 
2.8%
Open Punctuation 1055
 
0.4%
Close Punctuation 1054
 
0.4%
Uppercase Letter 466
 
0.2%
Other Punctuation 213
 
0.1%
Lowercase Letter 57
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19822
 
12.9%
동 12964
 
8.4%
지 11686
 
7.6%
대 11331
 
7.4%
시 10253
 
6.7%
역 10061
 
6.5%
광 10050
 
6.5%
번 9604
 
6.2%
성 3861
 
2.5%
서 3392
 
2.2%
Other values (421) 51058
33.1%
Uppercase Letter
ValueCountFrequency (%)
A 155
33.3%
B 66
14.2%
P 38
 
8.2%
T 37
 
7.9%
S 24
 
5.2%
C 21
 
4.5%
M 20
 
4.3%
L 17
 
3.6%
H 17
 
3.6%
K 14
 
3.0%
Other values (12) 57
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 14250
23.2%
0 10091
16.4%
2 7891
12.8%
3 5965
9.7%
5 4998
 
8.1%
4 4416
 
7.2%
6 3760
 
6.1%
7 3507
 
5.7%
8 3319
 
5.4%
9 3273
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 45
78.9%
a 3
 
5.3%
c 2
 
3.5%
m 1
 
1.8%
s 1
 
1.8%
u 1
 
1.8%
l 1
 
1.8%
p 1
 
1.8%
o 1
 
1.8%
h 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 135
63.4%
. 48
 
22.5%
/ 26
 
12.2%
@ 4
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 12
85.7%
+ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
48855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7741
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1055
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1054
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154082
56.0%
Common 120403
43.8%
Latin 523
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19822
 
12.9%
동 12964
 
8.4%
지 11686
 
7.6%
대 11331
 
7.4%
시 10253
 
6.7%
역 10061
 
6.5%
광 10050
 
6.5%
번 9604
 
6.2%
성 3861
 
2.5%
서 3392
 
2.2%
Other values (421) 51058
33.1%
Latin
ValueCountFrequency (%)
A 155
29.6%
B 66
12.6%
e 45
 
8.6%
P 38
 
7.3%
T 37
 
7.1%
S 24
 
4.6%
C 21
 
4.0%
M 20
 
3.8%
L 17
 
3.3%
H 17
 
3.3%
Other values (22) 83
15.9%
Common
ValueCountFrequency (%)
48855
40.6%
1 14250
 
11.8%
0 10091
 
8.4%
2 7891
 
6.6%
- 7741
 
6.4%
3 5965
 
5.0%
5 4998
 
4.2%
4 4416
 
3.7%
6 3760
 
3.1%
7 3507
 
2.9%
Other values (11) 8929
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154082
56.0%
ASCII 120926
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48855
40.4%
1 14250
 
11.8%
0 10091
 
8.3%
2 7891
 
6.5%
- 7741
 
6.4%
3 5965
 
4.9%
5 4998
 
4.1%
4 4416
 
3.7%
6 3760
 
3.1%
7 3507
 
2.9%
Other values (43) 9452
 
7.8%
Hangul
ValueCountFrequency (%)
구 19822
 
12.9%
동 12964
 
8.4%
지 11686
 
7.6%
대 11331
 
7.4%
시 10253
 
6.7%
역 10061
 
6.5%
광 10050
 
6.5%
번 9604
 
6.2%
성 3861
 
2.5%
서 3392
 
2.2%
Other values (421) 51058
33.1%

도로명전체주소
Text

MISSING 

Distinct7377
Distinct (%)94.4%
Missing2187
Missing (%)21.9%
Memory size156.2 KiB
2023-12-11T04:58:01.227113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length53
Mean length32.27467
Min length19

Characters and Unicode

Total characters252162
Distinct characters499
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

Unique7062 ?
Unique (%)90.4%

Sample

1st row대구광역시 달성군 논공읍 논공로 766, 1층
2nd row대구광역시 수성구 신매로19길 70, 3층 (신매동)
3rd row대구광역시 달서구 월곡로53길 57, 1층 (상인동)
4th row대구광역시 달성군 가창면 가창로213길 36
5th row대구광역시 달서구 이곡동로 24, 2층 (이곡동)
ValueCountFrequency (%)
대구광역시 7809
 
15.9%
달서구 1760
 
3.6%
수성구 1498
 
3.0%
북구 1349
 
2.7%
동구 1096
 
2.2%
1층 1011
 
2.1%
2층 698
 
1.4%
중구 625
 
1.3%
남구 537
 
1.1%
서구 497
 
1.0%
Other values (6616) 32273
65.7%
2023-12-11T04:58:02.093040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41343
 
16.4%
구 16592
 
6.6%
동 11825
 
4.7%
1 11138
 
4.4%
대 10417
 
4.1%
시 8096
 
3.2%
( 8041
 
3.2%
) 8040
 
3.2%
역 7950
 
3.2%
광 7858
 
3.1%
Other values (489) 120862
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140935
55.9%
Decimal Number 44217
 
17.5%
Space Separator 41343
 
16.4%
Open Punctuation 8041
 
3.2%
Close Punctuation 8040
 
3.2%
Other Punctuation 7705
 
3.1%
Dash Punctuation 1386
 
0.5%
Uppercase Letter 397
 
0.2%
Lowercase Letter 76
 
< 0.1%
Math Symbol 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16592
 
11.8%
동 11825
 
8.4%
대 10417
 
7.4%
시 8096
 
5.7%
역 7950
 
5.6%
광 7858
 
5.6%
로 7732
 
5.5%
층 3810
 
2.7%
성 3567
 
2.5%
길 3342
 
2.4%
Other values (431) 59746
42.4%
Uppercase Letter
ValueCountFrequency (%)
A 111
28.0%
B 65
16.4%
S 29
 
7.3%
C 23
 
5.8%
T 21
 
5.3%
P 20
 
5.0%
L 17
 
4.3%
H 16
 
4.0%
M 16
 
4.0%
K 15
 
3.8%
Other values (13) 64
16.1%
Lowercase Letter
ValueCountFrequency (%)
e 54
71.1%
p 4
 
5.3%
a 3
 
3.9%
l 3
 
3.9%
c 2
 
2.6%
o 2
 
2.6%
m 2
 
2.6%
s 2
 
2.6%
h 1
 
1.3%
x 1
 
1.3%
Other values (2) 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 11138
25.2%
2 6938
15.7%
0 5722
12.9%
3 4911
11.1%
5 3393
 
7.7%
4 3356
 
7.6%
6 2662
 
6.0%
7 2288
 
5.2%
8 1906
 
4.3%
9 1903
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 7671
99.6%
. 18
 
0.2%
/ 11
 
0.1%
@ 2
 
< 0.1%
· 1
 
< 0.1%
: 1
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 20
90.9%
+ 2
 
9.1%
Space Separator
ValueCountFrequency (%)
41343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8041
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8040
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1386
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140935
55.9%
Common 110754
43.9%
Latin 473
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16592
 
11.8%
동 11825
 
8.4%
대 10417
 
7.4%
시 8096
 
5.7%
역 7950
 
5.6%
광 7858
 
5.6%
로 7732
 
5.5%
층 3810
 
2.7%
성 3567
 
2.5%
길 3342
 
2.4%
Other values (431) 59746
42.4%
Latin
ValueCountFrequency (%)
A 111
23.5%
B 65
13.7%
e 54
11.4%
S 29
 
6.1%
C 23
 
4.9%
T 21
 
4.4%
P 20
 
4.2%
L 17
 
3.6%
H 16
 
3.4%
M 16
 
3.4%
Other values (25) 101
21.4%
Common
ValueCountFrequency (%)
41343
37.3%
1 11138
 
10.1%
( 8041
 
7.3%
) 8040
 
7.3%
, 7671
 
6.9%
2 6938
 
6.3%
0 5722
 
5.2%
3 4911
 
4.4%
5 3393
 
3.1%
4 3356
 
3.0%
Other values (13) 10201
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140935
55.9%
ASCII 111226
44.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41343
37.2%
1 11138
 
10.0%
( 8041
 
7.2%
) 8040
 
7.2%
, 7671
 
6.9%
2 6938
 
6.2%
0 5722
 
5.1%
3 4911
 
4.4%
5 3393
 
3.1%
4 3356
 
3.0%
Other values (47) 10673
 
9.6%
Hangul
ValueCountFrequency (%)
구 16592
 
11.8%
동 11825
 
8.4%
대 10417
 
7.4%
시 8096
 
5.7%
역 7950
 
5.6%
광 7858
 
5.6%
로 7732
 
5.5%
층 3810
 
2.7%
성 3567
 
2.5%
길 3342
 
2.4%
Other values (431) 59746
42.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1315
Distinct (%)17.0%
Missing2257
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean42050.898
Minimum21565
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:02.336763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21565
5-th percentile41122
Q141525.5
median42073
Q342627
95-th percentile42914
Maximum43023
Range21458
Interquartile range (IQR)1101.5

Descriptive statistics

Standard deviation626.16829
Coefficient of variation (CV)0.014890723
Kurtosis146.63917
Mean42050.898
Median Absolute Deviation (MAD)551
Skewness-4.6411228
Sum3.2560011 × 108
Variance392086.73
MonotonicityNot monotonic
2023-12-11T04:58:02.549693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 54
 
0.5%
41940 46
 
0.5%
41936 44
 
0.4%
42274 36
 
0.4%
42620 31
 
0.3%
42612 30
 
0.3%
42809 29
 
0.3%
41229 29
 
0.3%
41438 29
 
0.3%
41519 29
 
0.3%
Other values (1305) 7386
73.9%
(Missing) 2257
 
22.6%
ValueCountFrequency (%)
21565 1
 
< 0.1%
38631 1
 
< 0.1%
38655 1
 
< 0.1%
39894 1
 
< 0.1%
41001 2
 
< 0.1%
41002 13
0.1%
41003 1
 
< 0.1%
41005 13
0.1%
41006 2
 
< 0.1%
41007 4
 
< 0.1%
ValueCountFrequency (%)
43023 1
 
< 0.1%
43020 1
 
< 0.1%
43019 9
0.1%
43018 13
0.1%
43017 11
0.1%
43016 10
0.1%
43015 5
 
0.1%
43014 3
 
< 0.1%
43013 3
 
< 0.1%
43012 1
 
< 0.1%

사업장명
Text

Distinct8262
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T04:58:02.915384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.9978
Min length1

Characters and Unicode

Total characters69978
Distinct characters888
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7531 ?
Unique (%)75.3%

Sample

1st row건강식품 Sam nam
2nd row한국암웨이(장병하)
3rd row솔고대구수성지점
4th row후원실버산업
5th row주식회사 코스모케이
ValueCountFrequency (%)
허브다이어트 117
 
1.0%
한국암웨이 68
 
0.6%
애터미 55
 
0.5%
아모레퍼시픽 55
 
0.5%
에이다넷 47
 
0.4%
지에스(gs)25 46
 
0.4%
아리따움 45
 
0.4%
주식회사 45
 
0.4%
아모레 42
 
0.4%
제이유네트워크 37
 
0.3%
Other values (8489) 10703
95.1%
2023-12-11T04:58:03.590281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2733
 
3.9%
) 1600
 
2.3%
점 1596
 
2.3%
( 1584
 
2.3%
스 1577
 
2.3%
1261
 
1.8%
대 1224
 
1.7%
리 1218
 
1.7%
주 1109
 
1.6%
트 1100
 
1.6%
Other values (878) 54976
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61226
87.5%
Uppercase Letter 1640
 
2.3%
Close Punctuation 1600
 
2.3%
Open Punctuation 1584
 
2.3%
Decimal Number 1422
 
2.0%
Space Separator 1261
 
1.8%
Lowercase Letter 1078
 
1.5%
Other Punctuation 129
 
0.2%
Dash Punctuation 34
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2733
 
4.5%
점 1596
 
2.6%
스 1577
 
2.6%
대 1224
 
2.0%
리 1218
 
2.0%
주 1109
 
1.8%
트 1100
 
1.8%
아 1033
 
1.7%
지 967
 
1.6%
구 909
 
1.5%
Other values (800) 47760
78.0%
Lowercase Letter
ValueCountFrequency (%)
e 134
12.4%
o 98
 
9.1%
n 81
 
7.5%
i 80
 
7.4%
a 77
 
7.1%
l 73
 
6.8%
t 69
 
6.4%
r 61
 
5.7%
s 43
 
4.0%
m 43
 
4.0%
Other values (16) 319
29.6%
Uppercase Letter
ValueCountFrequency (%)
S 272
16.6%
G 227
13.8%
O 120
 
7.3%
I 114
 
7.0%
B 113
 
6.9%
C 108
 
6.6%
N 80
 
4.9%
A 62
 
3.8%
H 58
 
3.5%
E 57
 
3.5%
Other values (14) 429
26.2%
Other Punctuation
ValueCountFrequency (%)
. 48
37.2%
& 46
35.7%
, 19
 
14.7%
/ 6
 
4.7%
! 2
 
1.6%
· 2
 
1.6%
' 2
 
1.6%
＆ 1
 
0.8%
; 1
 
0.8%
: 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
4 629
44.2%
2 291
20.5%
5 263
18.5%
1 90
 
6.3%
3 43
 
3.0%
0 39
 
2.7%
8 19
 
1.3%
6 18
 
1.3%
9 17
 
1.2%
7 13
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 1600
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1584
100.0%
Space Separator
ValueCountFrequency (%)
1261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61224
87.5%
Common 6032
 
8.6%
Latin 2720
 
3.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2733
 
4.5%
점 1596
 
2.6%
스 1577
 
2.6%
대 1224
 
2.0%
리 1218
 
2.0%
주 1109
 
1.8%
트 1100
 
1.8%
아 1033
 
1.7%
지 967
 
1.6%
구 909
 
1.5%
Other values (799) 47758
78.0%
Latin
ValueCountFrequency (%)
S 272
 
10.0%
G 227
 
8.3%
e 134
 
4.9%
O 120
 
4.4%
I 114
 
4.2%
B 113
 
4.2%
C 108
 
4.0%
o 98
 
3.6%
n 81
 
3.0%
N 80
 
2.9%
Other values (41) 1373
50.5%
Common
ValueCountFrequency (%)
) 1600
26.5%
( 1584
26.3%
1261
20.9%
4 629
 
10.4%
2 291
 
4.8%
5 263
 
4.4%
1 90
 
1.5%
. 48
 
0.8%
& 46
 
0.8%
3 43
 
0.7%
Other values (17) 177
 
2.9%
Han
ValueCountFrequency (%)
美 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61224
87.5%
ASCII 8746
 
12.5%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2733
 
4.5%
점 1596
 
2.6%
스 1577
 
2.6%
대 1224
 
2.0%
리 1218
 
2.0%
주 1109
 
1.8%
트 1100
 
1.8%
아 1033
 
1.7%
지 967
 
1.6%
구 909
 
1.5%
Other values (799) 47758
78.0%
ASCII
ValueCountFrequency (%)
) 1600
18.3%
( 1584
18.1%
1261
14.4%
4 629
 
7.2%
2 291
 
3.3%
S 272
 
3.1%
5 263
 
3.0%
G 227
 
2.6%
e 134
 
1.5%
O 120
 
1.4%
Other values (64) 2365
27.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
CJK
ValueCountFrequency (%)
美 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9149
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141697 × 1013
Minimum2.0040324 × 1013
Maximum2.020103 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:03.845176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040324 × 1013
5-th percentile2.0040921 × 1013
Q12.0101029 × 1013
median2.0160504 × 1013
Q32.0190214 × 1013
95-th percentile2.0200528 × 1013
Maximum2.020103 × 1013
Range1.6070617 × 1011
Interquartile range (IQR)8.9185006 × 1010

Descriptive statistics

Standard deviation5.1159475 × 1010
Coefficient of variation (CV)0.0025399784
Kurtosis-0.88067224
Mean2.0141697 × 1013
Median Absolute Deviation (MAD)3.0713548 × 1010
Skewness-0.61399265
Sum2.0141697 × 1017
Variance2.6172919 × 1021
MonotonicityNot monotonic
2023-12-11T04:58:04.462769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041008000000 85
 
0.9%
20040618000000 40
 
0.4%
20040917000000 22
 
0.2%
20040715000000 22
 
0.2%
20040617000000 20
 
0.2%
20040916000000 20
 
0.2%
20040805000000 17
 
0.2%
20040915000000 15
 
0.1%
20040918000000 15
 
0.1%
20041103000000 14
 
0.1%
Other values (9139) 9730
97.3%
ValueCountFrequency (%)
20040324000000 4
< 0.1%
20040326000000 1
 
< 0.1%
20040401000000 2
< 0.1%
20040408000000 2
< 0.1%
20040409000000 1
 
< 0.1%
20040419000000 1
 
< 0.1%
20040426000000 2
< 0.1%
20040428000000 1
 
< 0.1%
20040429000000 2
< 0.1%
20040430000000 1
 
< 0.1%
ValueCountFrequency (%)
20201030170052 1
< 0.1%
20201030165234 1
< 0.1%
20201030164726 1
< 0.1%
20201030121449 1
< 0.1%
20201030103833 1
< 0.1%
20201030095951 1
< 0.1%
20201029163112 1
< 0.1%
20201029161329 1
< 0.1%
20201029135005 1
< 0.1%
20201029105105 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7682 
U
2318 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7682
76.8%
U 2318
 
23.2%

Length

2023-12-11T04:58:04.703114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:04.877432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7682
76.8%
u 2318
 
23.2%

데이터갱신일자
Date

Distinct879
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-11-01 02:40:00
2023-12-11T04:58:05.051097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:58:05.299489image/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 

Distinct6570
Distinct (%)67.0%
Missing192
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean343187.91
Minimum174169.07
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:05.515649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174169.07
5-th percentile335085.3
Q1339654.09
median343319.13
Q3346571.51
95-th percentile353798.56
Maximum358060.65
Range183891.58
Interquartile range (IQR)6917.4129

Descriptive statistics

Standard deviation5513.8363
Coefficient of variation (CV)0.016066523
Kurtosis89.654409
Mean343187.91
Median Absolute Deviation (MAD)3521.6989
Skewness-2.8138841
Sum3.365987 × 109
Variance30402390
MonotonicityNot monotonic
2023-12-11T04:58:05.735731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 36
 
0.4%
344047.164924 34
 
0.3%
339047.793379 30
 
0.3%
340548.96997 26
 
0.3%
343588.735555 25
 
0.2%
346916.265263 22
 
0.2%
347037.24197 22
 
0.2%
341817.719801 17
 
0.2%
345032.238221 16
 
0.2%
345383.649328 16
 
0.2%
Other values (6560) 9564
95.6%
(Missing) 192
 
1.9%
ValueCountFrequency (%)
174169.067539966 1
 
< 0.1%
325937.566452 1
 
< 0.1%
326030.831594512 1
 
< 0.1%
326177.944174 1
 
< 0.1%
326534.608033 1
 
< 0.1%
327539.027391 1
 
< 0.1%
327726.835884 1
 
< 0.1%
327851.659254 1
 
< 0.1%
327853.173809 4
< 0.1%
327870.149369 1
 
< 0.1%
ValueCountFrequency (%)
358060.647419 3
< 0.1%
357646.727978 3
< 0.1%
357073.974572 1
 
< 0.1%
356923.487472 1
 
< 0.1%
356803.785693049 1
 
< 0.1%
356645.7844 1
 
< 0.1%
356565.367584 1
 
< 0.1%
356562.086586 1
 
< 0.1%
356551.212775 1
 
< 0.1%
356430.936586 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6570
Distinct (%)67.0%
Missing192
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263314.17
Minimum237059.21
Maximum438974.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:05.952030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237059.21
5-th percentile257628.96
Q1261172.62
median263238.76
Q3265218.59
95-th percentile271447.61
Maximum438974.35
Range201915.14
Interquartile range (IQR)4045.9663

Descriptive statistics

Standard deviation4681.2834
Coefficient of variation (CV)0.017778319
Kurtosis204.82928
Mean263314.17
Median Absolute Deviation (MAD)2036.044
Skewness4.7810446
Sum2.5825854 × 109
Variance21914415
MonotonicityNot monotonic
2023-12-11T04:58:06.212094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 36
 
0.4%
265132.987974 34
 
0.3%
258741.90218 30
 
0.3%
272470.830195 26
 
0.3%
264119.01075 25
 
0.2%
263443.713906 22
 
0.2%
265407.404337 22
 
0.2%
263585.19321 17
 
0.2%
262111.061698 16
 
0.2%
262949.871621 16
 
0.2%
Other values (6560) 9564
95.6%
(Missing) 192
 
1.9%
ValueCountFrequency (%)
237059.208299 1
 
< 0.1%
238029.007127 1
 
< 0.1%
238126.933814 2
< 0.1%
240182.187266 1
 
< 0.1%
240248.646376 1
 
< 0.1%
240358.722944 4
< 0.1%
240473.571874 1
 
< 0.1%
240481.502376 1
 
< 0.1%
240482.499847 1
 
< 0.1%
240486.59443 1
 
< 0.1%
ValueCountFrequency (%)
438974.350322758 1
< 0.1%
278042.64925 2
< 0.1%
277923.610317 1
< 0.1%
277799.708684 2
< 0.1%
277798.822544 1
< 0.1%
277784.134758 1
< 0.1%
277759.213877 1
< 0.1%
277718.159532176 1
< 0.1%
276945.373485 1
< 0.1%
276723.919157 1
< 0.1%

위생업태명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업장판매
5131 
전자상거래(통신판매업)
1504 
방문판매
1320 
통신판매
1243 
다단계판매
705 
Other values (5)
 
97

Length

Max length14
Median length5
Mean length5.8329
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 건강기능식품일반판매업
2nd row다단계판매
3rd row영업장판매
4th row방문판매
5th row전자상거래(통신판매업)

Common Values

ValueCountFrequency (%)
영업장판매 5131
51.3%
전자상거래(통신판매업) 1504
 
15.0%
방문판매 1320
 
13.2%
통신판매 1243
 
12.4%
다단계판매 705
 
7.0%
기타(복합 등) 33
 
0.3%
기타 건강기능식품일반판매업 25
 
0.2%
도매업(유통) 17
 
0.2%
전화권유판매 14
 
0.1%
<NA> 8
 
0.1%

Length

2023-12-11T04:58:06.435177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:06.631420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업장판매 5131
51.0%
전자상거래(통신판매업 1504
 
15.0%
방문판매 1320
 
13.1%
통신판매 1243
 
12.4%
다단계판매 705
 
7.0%
기타(복합 33
 
0.3%
등 33
 
0.3%
기타 25
 
0.2%
건강기능식품일반판매업 25
 
0.2%
도매업(유통 17
 
0.2%
Other values (2) 22
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9983 
0
 
17

Length

Max length4
Median length4
Mean length3.9949
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> 9983
99.8%
0 17
 
0.2%

Length

2023-12-11T04:58:06.871364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:07.019087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9983
99.8%
0 17
 
0.2%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9983 
0
 
17

Length

Max length4
Median length4
Mean length3.9949
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> 9983
99.8%
0 17
 
0.2%

Length

2023-12-11T04:58:07.197830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:07.385039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9983
99.8%
0 17
 
0.2%

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 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8291 
상수도전용
1700 
간이상수도
 
5
전용상수도(특정시설의 자가용 수도)
 
3
지하수전용
 
1

Length

Max length19
Median length4
Mean length4.1751
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8291
82.9%
상수도전용 1700
 
17.0%
간이상수도 5
 
0.1%
전용상수도(특정시설의 자가용 수도) 3
 
< 0.1%
지하수전용 1
 
< 0.1%

Length

2023-12-11T04:58:07.673220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:07.893387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8291
82.9%
상수도전용 1700
 
17.0%
간이상수도 5
 
< 0.1%
전용상수도(특정시설의 3
 
< 0.1%
자가용 3
 
< 0.1%
수도 3
 
< 0.1%
지하수전용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4186
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean0.010147919
Minimum0
Maximum6
Zeros5776
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:08.093487image/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 deviation0.15205529
Coefficient of variation (CV)14.983889
Kurtosis629.87509
Mean0.010147919
Median Absolute Deviation (MAD)0
Skewness22.071249
Sum59
Variance0.023120811
MonotonicityNot monotonic
2023-12-11T04:58:08.254682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5776
57.8%
1 27
 
0.3%
2 5
 
0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 4186
41.9%
ValueCountFrequency (%)
0 5776
57.8%
1 27
 
0.3%
2 5
 
0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 5
 
0.1%
1 27
 
0.3%
0 5776
57.8%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.2%
Missing4188
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean0.075017206
Minimum0
Maximum22
Zeros5580
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:08.449783image/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 deviation0.67163343
Coefficient of variation (CV)8.9530585
Kurtosis607.2818
Mean0.075017206
Median Absolute Deviation (MAD)0
Skewness21.914145
Sum436
Variance0.45109146
MonotonicityNot monotonic
2023-12-11T04:58:08.684427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 5580
55.8%
1 174
 
1.7%
2 26
 
0.3%
3 10
 
0.1%
4 9
 
0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
14 1
 
< 0.1%
21 1
 
< 0.1%
10 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 4188
41.9%
ValueCountFrequency (%)
0 5580
55.8%
1 174
 
1.7%
2 26
 
0.3%
3 10
 
0.1%
4 9
 
0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
10 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 3
 
< 0.1%
4 9
0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)0.5%
Missing4188
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean0.42549897
Minimum0
Maximum102
Zeros5000
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:08.921570image/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 deviation3.9362661
Coefficient of variation (CV)9.2509415
Kurtosis440.26004
Mean0.42549897
Median Absolute Deviation (MAD)0
Skewness19.820855
Sum2473
Variance15.494191
MonotonicityNot monotonic
2023-12-11T04:58:09.145187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5000
50.0%
1 627
 
6.3%
2 76
 
0.8%
3 38
 
0.4%
5 13
 
0.1%
4 10
 
0.1%
10 8
 
0.1%
7 7
 
0.1%
6 4
 
< 0.1%
20 4
 
< 0.1%
Other values (20) 25
 
0.2%
(Missing) 4188
41.9%
ValueCountFrequency (%)
0 5000
50.0%
1 627
 
6.3%
2 76
 
0.8%
3 38
 
0.4%
4 10
 
0.1%
5 13
 
0.1%
6 4
 
< 0.1%
7 7
 
0.1%
9 1
 
< 0.1%
10 8
 
0.1%
ValueCountFrequency (%)
102 1
< 0.1%
100 2
< 0.1%
94 2
< 0.1%
91 1
< 0.1%
80 1
< 0.1%
60 1
< 0.1%
58 1
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
45 2
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5806 
<NA>
4186 
1
 
6
9
 
1
6
 
1

Length

Max length4
Median length1
Mean length2.2558
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5806
58.1%
<NA> 4186
41.9%
1 6
 
0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T04:58:09.374404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:09.569054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5806
58.1%
na 4186
41.9%
1 6
 
0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8303 
임대
995 
자가
 
702

Length

Max length4
Median length4
Mean length3.6606
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8303
83.0%
임대 995
 
10.0%
자가 702
 
7.0%

Length

2023-12-11T04:58:09.787282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:10.039326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8303
83.0%
임대 995
 
10.0%
자가 702
 
7.0%

보증액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)15.6%
Missing9955
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean577788.89
Minimum0
Maximum10000000
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:10.208589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4400000
Maximum10000000
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2016845
Coefficient of variation (CV)3.4906261
Kurtosis14.586181
Mean577788.89
Median Absolute Deviation (MAD)0
Skewness3.8474518
Sum26000500
Variance4.0676636 × 1012
MonotonicityNot monotonic
2023-12-11T04:58:10.400869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 39
 
0.4%
1000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
2000000 1
 
< 0.1%
500 1
 
< 0.1%
5000000 1
 
< 0.1%
(Missing) 9955
99.6%
ValueCountFrequency (%)
0 39
0.4%
500 1
 
< 0.1%
1000000 1
 
< 0.1%
2000000 1
 
< 0.1%
5000000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
ValueCountFrequency (%)
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000000 1
 
< 0.1%
2000000 1
 
< 0.1%
1000000 1
 
< 0.1%
500 1
 
< 0.1%
0 39
0.4%

월세액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)15.2%
Missing9954
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean36522.609
Minimum0
Maximum550000
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:10.586198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile237500
Maximum550000
Range550000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation106044.07
Coefficient of variation (CV)2.9035186
Kurtosis12.519341
Mean36522.609
Median Absolute Deviation (MAD)0
Skewness3.3732145
Sum1680040
Variance1.1245346 × 1010
MonotonicityNot monotonic
2023-12-11T04:58:10.764009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 39
 
0.4%
200000 2
 
< 0.1%
300000 1
 
< 0.1%
550000 1
 
< 0.1%
180000 1
 
< 0.1%
40 1
 
< 0.1%
250000 1
 
< 0.1%
(Missing) 9954
99.5%
ValueCountFrequency (%)
0 39
0.4%
40 1
 
< 0.1%
180000 1
 
< 0.1%
200000 2
 
< 0.1%
250000 1
 
< 0.1%
300000 1
 
< 0.1%
550000 1
 
< 0.1%
ValueCountFrequency (%)
550000 1
 
< 0.1%
300000 1
 
< 0.1%
250000 1
 
< 0.1%
200000 2
 
< 0.1%
180000 1
 
< 0.1%
40 1
 
< 0.1%
0 39
0.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing8
Missing (%)0.1%
Memory size97.7 KiB
False
9992 
(Missing)
 
8
ValueCountFrequency (%)
False 9992
99.9%
(Missing) 8
 
0.1%
2023-12-11T04:58:10.924329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct127
Distinct (%)1.3%
Missing8
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.67075761
Minimum0
Maximum407.45
Zeros9833
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T04:58:11.097950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum407.45
Range407.45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.7584707
Coefficient of variation (CV)13.057579
Kurtosis747.27505
Mean0.67075761
Median Absolute Deviation (MAD)0
Skewness22.91746
Sum6702.21
Variance76.71081
MonotonicityNot monotonic
2023-12-11T04:58:11.343637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9833
98.3%
3.3 7
 
0.1%
8.64 5
 
0.1%
10.0 5
 
0.1%
30.0 5
 
0.1%
20.0 4
 
< 0.1%
3.0 3
 
< 0.1%
15.0 3
 
< 0.1%
1.0 2
 
< 0.1%
40.0 2
 
< 0.1%
Other values (117) 123
 
1.2%
(Missing) 8
 
0.1%
ValueCountFrequency (%)
0.0 9833
98.3%
0.4 1
 
< 0.1%
0.55 1
 
< 0.1%
0.9 2
 
< 0.1%
1.0 2
 
< 0.1%
1.5 1
 
< 0.1%
1.92 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 3
 
< 0.1%
3.06 1
 
< 0.1%
ValueCountFrequency (%)
407.45 1
< 0.1%
312.0 1
< 0.1%
190.0 1
< 0.1%
162.48 1
< 0.1%
160.62 1
< 0.1%
155.5 1
< 0.1%
149.98 1
< 0.1%
148.17 1
< 0.1%
141.78 1
< 0.1%
132.0 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 (%)92.0%
Missing9975
Missing (%)99.8%
Memory size156.2 KiB
2023-12-11T04:58:11.613910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length20
Mean length16.88
Min length4

Characters and Unicode

Total characters422
Distinct characters61
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 (%)88.0%

Sample

1st rowG-market, Auction, 11번가에서 판매중(판매자명:더코넬)
2nd rowwww.tocxtoc.com
3rd row오픈마켓
4th rowwww.44mycong.com
5th row오픈마켓
ValueCountFrequency (%)
오픈마켓 5
 
14.7%
옥션 2
 
5.9%
등 2
 
5.9%
판매중(판매자명:더코넬 1
 
2.9%
www.44small.com 1
 
2.9%
www.herbal1004.com 1
 
2.9%
www.nalssingirl.com 1
 
2.9%
www.muse44.com 1
 
2.9%
www.slimribbon.com 1
 
2.9%
오픈마켓:g마켓 1
 
2.9%
Other values (18) 18
52.9%
2023-12-11T04:58:12.129515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 51
 
12.1%
. 39
 
9.2%
o 31
 
7.3%
m 27
 
6.4%
c 22
 
5.2%
l 19
 
4.5%
r 17
 
4.0%
e 17
 
4.0%
t 14
 
3.3%
s 13
 
3.1%
Other values (51) 172
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 293
69.4%
Other Letter 50
 
11.8%
Other Punctuation 48
 
11.4%
Decimal Number 14
 
3.3%
Space Separator 9
 
2.1%
Dash Punctuation 3
 
0.7%
Uppercase Letter 3
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 51
17.4%
o 31
10.6%
m 27
 
9.2%
c 22
 
7.5%
l 19
 
6.5%
r 17
 
5.8%
e 17
 
5.8%
t 14
 
4.8%
s 13
 
4.4%
a 13
 
4.4%
Other values (15) 69
23.5%
Other Letter
ValueCountFrequency (%)
켓 7
14.0%
마 7
14.0%
픈 6
12.0%
오 6
12.0%
매 2
 
4.0%
판 2
 
4.0%
등 2
 
4.0%
옥 2
 
4.0%
션 2
 
4.0%
운 1
 
2.0%
Other values (13) 13
26.0%
Other Punctuation
ValueCountFrequency (%)
. 39
81.2%
/ 3
 
6.2%
, 3
 
6.2%
: 3
 
6.2%
Decimal Number
ValueCountFrequency (%)
4 9
64.3%
1 3
 
21.4%
0 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 296
70.1%
Common 76
 
18.0%
Hangul 50
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 51
17.2%
o 31
10.5%
m 27
 
9.1%
c 22
 
7.4%
l 19
 
6.4%
r 17
 
5.7%
e 17
 
5.7%
t 14
 
4.7%
s 13
 
4.4%
a 13
 
4.4%
Other values (17) 72
24.3%
Hangul
ValueCountFrequency (%)
켓 7
14.0%
마 7
14.0%
픈 6
12.0%
오 6
12.0%
매 2
 
4.0%
판 2
 
4.0%
등 2
 
4.0%
옥 2
 
4.0%
션 2
 
4.0%
운 1
 
2.0%
Other values (13) 13
26.0%
Common
ValueCountFrequency (%)
. 39
51.3%
4 9
 
11.8%
9
 
11.8%
/ 3
 
3.9%
1 3
 
3.9%
, 3
 
3.9%
: 3
 
3.9%
- 3
 
3.9%
0 2
 
2.6%
) 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
88.2%
Hangul 50
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 51
13.7%
. 39
 
10.5%
o 31
 
8.3%
m 27
 
7.3%
c 22
 
5.9%
l 19
 
5.1%
r 17
 
4.6%
e 17
 
4.6%
t 14
 
3.8%
s 13
 
3.5%
Other values (28) 122
32.8%
Hangul
ValueCountFrequency (%)
켓 7
14.0%
마 7
14.0%
픈 6
12.0%
오 6
12.0%
매 2
 
4.0%
판 2
 
4.0%
등 2
 
4.0%
옥 2
 
4.0%
션 2
 
4.0%
운 1
 
2.0%
Other values (13) 13
26.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1389313894건강기능식품일반판매업07_22_03_P34800003480000-134-2017-0004020171219<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.00711852대구광역시 달성군 논공읍 북리 803-297번지 1층대구광역시 달성군 논공읍 논공로 766, 1층42979건강식품 Sam nam20190909143830I2019-09-11 02:22:33.0<NA>330498.067228248631.73235기타 건강기능식품일반판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N20.0<NA><NA><NA>
66336634건강기능식품일반판매업07_22_03_P34500003450000-134-2004-0033420040723<NA>3폐업2폐업20081111<NA><NA><NA><NA><NA>702868대구광역시 북구 태전동 1066-23 번지 태전대백2차 101동 102호<NA><NA>한국암웨이(장병하)20041008000000I2018-08-31 23:59:59.0<NA><NA><NA>다단계판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
97599760건강기능식품일반판매업07_22_03_P34600003460000-134-2014-0001720140312<NA>1영업/정상1영업<NA><NA><NA><NA>053 793 883518.00706170대구광역시 수성구 신매동 567-7번지 3층대구광역시 수성구 신매로19길 70, 3층 (신매동)42274솔고대구수성지점20190923115936U2019-09-25 02:40:00.0<NA>354048.819736261350.671576영업장판매<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1301713018건강기능식품일반판매업07_22_03_P34700003470000-134-2019-0008520190708<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>704809대구광역시 달서구 상인동 1411-3번지대구광역시 달서구 월곡로53길 57, 1층 (상인동)42787후원실버산업20190708160312I2019-07-10 02:21:55.0<NA>338775.992702258422.780327방문판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1376813769건강기능식품일반판매업07_22_03_P34800003480000-134-2020-0009020200922<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711864대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 코스모케이20200922154626I2020-09-24 00:23:11.0<NA>346575.931478256715.567375전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1308513086건강기능식품일반판매업07_22_03_P34700003470000-134-2019-0004020190326<NA>1영업/정상1영업<NA><NA><NA><NA>053 58566953.30704928대구광역시 달서구 이곡동 1254번지대구광역시 달서구 이곡동로 24, 2층 (이곡동)42620이마트성서점아모레퍼시픽화장품매장20200525115652U2020-05-27 02:40:00.0<NA>336343.945543262554.743801영업장판매<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
1337813379건강기능식품일반판매업07_22_03_P34800003480000-134-2017-0000320170104<NA>3폐업2폐업20191111<NA><NA><NA><NA>2.00711852대구광역시 달성군 논공읍 북리 833-99번지대구광역시 달성군 논공읍 북리1길 15, 1층42985GS25 논공베스트점20191111171237U2019-11-13 02:40:00.0<NA>331205.539669248589.08613영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1188811889건강기능식품일반판매업07_22_03_P34700003470000-134-2012-0004920120405<NA>3폐업2폐업20200206<NA><NA><NA>070 87596543<NA>704712대구광역시 달서구 두류동 87-36번지 성안오피스텔 1005호대구광역시 달서구 달구벌대로 1834, 1005호 (두류동, 성안오피스텔)42661마라깨끄미20200206163637U2020-02-08 02:40:00.0<NA>341316.891342263332.034503방문판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
77277728건강기능식품일반판매업07_22_03_P34600003460000-134-2010-0003620100326<NA>3폐업2폐업20131031<NA><NA><NA>053 793 77091.00706220대구광역시 수성구 시지동 492-12번지대구광역시 수성구 시지로14길 7-5 (시지동)42251건강백세반도유통20111208163954I2018-08-31 23:59:59.0<NA>353131.547068261067.771067영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1088010881건강기능식품일반판매업07_22_03_P34700003470000-134-2005-0002620050314<NA>3폐업2폐업20100419<NA><NA><NA>053 586 544478.65704929대구광역시 달서구 이곡동 1000-157번지<NA><NA>성서녹십초20050314000000I2018-08-31 23:59:59.0<NA>336691.904795262196.925513영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
25832584건강기능식품일반판매업07_22_03_P34200003420000-134-2009-0015020091126<NA>1영업/정상1영업<NA><NA><NA><NA>053 624 2104<NA>701270대구광역시 동구 상매동 522번지대구광역시 동구 율암로 149-15 (주)올인마켓 A동 1층 (상매동)41059(주)올인마켓20181220141539I2018-12-22 02:20:24.0<NA>353687.686312266710.156723통신판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
93389339건강기능식품일반판매업07_22_03_P34600003460000-134-2007-0002220070420<NA>3폐업2폐업20090430<NA><NA><NA>764 279984.45706852대구광역시 수성구 황금동 709-18번지<NA><NA>아이홍커뮤니케이션20090217160437I2018-08-31 23:59:59.0<NA>346014.271308262302.270598영업장판매<NA><NA><NA><NA>상수도전용<NA>0030<NA><NA><NA>N0.0<NA><NA><NA>
35753576건강기능식품일반판매업07_22_03_P34300003430000-134-2011-0005120110811<NA>3폐업2폐업20111027<NA><NA><NA>053 257090216.00703848대구광역시 서구 평리동 1421-7번지<NA><NA>(주)좋은비타민20110923165420I2018-08-31 23:59:59.0<NA>340200.910294264402.822706영업장판매<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
1214912150건강기능식품일반판매업07_22_03_P34700003470000-134-2010-0028720100827<NA>3폐업2폐업20160321<NA><NA><NA>07087327118.00704948대구광역시 달서구 호산동 715-10번지 (지상1층)대구광역시 달서구 성서공단로11길 90-9, 지상1층 (호산동)42713파프리카20140710095729I2018-08-31 23:59:59.0<NA>334469.448878261358.047356통신판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
83178318건강기능식품일반판매업07_22_03_P34600003460000-134-2007-0001420070206<NA>3폐업2폐업20070626<NA><NA><NA>767 7106126.35706848대구광역시 수성구 파동 68-8번지<NA><NA>비타민시리즈관리대행사20070206000000I2018-08-31 23:59:59.0<NA>345758.706535259085.375712통신판매<NA><NA><NA><NA>상수도전용<NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
1196511966건강기능식품일반판매업07_22_03_P34700003470000-134-2014-0008420140603<NA>3폐업2폐업20190218<NA><NA><NA><NA><NA>704820대구광역시 달서구 송현동 121-3번지 1층대구광역시 달서구 구마로46길 48, 1층 (송현동)42736손려원피부관리실20190221171042U2019-02-23 02:40:00.0<NA>340219.0401260528.010397영업장판매<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
34803481건강기능식품일반판매업07_22_03_P34300003430000-134-2010-0007120101119<NA>3폐업2폐업20160531<NA><NA><NA><NA><NA>703821대구광역시 서구 비산동 1025-182번지대구광역시 서구 달서천로61길 16-12 (비산동)41718요술콩20101119172859I2018-08-31 23:59:59.0<NA>341541.391164266217.422391전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1099010991건강기능식품일반판매업07_22_03_P34700003470000-134-2006-0001620060320<NA>3폐업2폐업20070213<NA><NA><NA>053 6339545<NA>704814대구광역시 달서구 상인동 1532-6번지<NA><NA>규방20060320000000I2018-08-31 23:59:59.0<NA>339656.858554258567.229113전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1271012711건강기능식품일반판매업07_22_03_P34700003470000-134-2018-0005120180710<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>704808대구광역시 달서구 상인동 171-1번지 상인 대성 스카이렉스대구광역시 달서구 월배로 183, 101동 505호 (상인동, 상인 대성 스카이렉스)42781시너지바이럴20200602155759U2020-06-04 02:40:00.0<NA>338508.03969258645.860959전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
93019302건강기능식품일반판매업07_22_03_P34600003460000-134-2018-0005320180816<NA>3폐업2폐업20191224<NA><NA><NA><NA><NA>706817대구광역시 수성구 범어동 40-12번지 2층대구광역시 수성구 상록로 8-13, 2층 (범어동)42019헤븐스톤천문석20191224143140U2019-12-26 02:40:00.0<NA>346690.69055263453.387549방문판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>