Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells132801
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory415.0 B

Variable types

Numeric15
Categorical16
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년09월_6270000_대구광역시_07_22_19_P_즉석판매제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096630&dataSetDetailId=DDI_0000096628&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.6%)Imbalance
위생업태명 is highly imbalanced (99.6%)Imbalance
급수시설구분명 is highly imbalanced (64.7%)Imbalance
공장사무직직원수 is highly imbalanced (56.5%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1812 (18.1%) 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 5657 (56.6%) missing valuesMissing
소재지면적 has 4271 (42.7%) missing valuesMissing
소재지우편번호 has 138 (1.4%) missing valuesMissing
도로명전체주소 has 2598 (26.0%) missing valuesMissing
도로명우편번호 has 2641 (26.4%) missing valuesMissing
좌표정보(X) has 210 (2.1%) missing valuesMissing
좌표정보(Y) has 210 (2.1%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장판매직직원수 has 4280 (42.8%) missing valuesMissing
공장생산직직원수 has 4283 (42.8%) missing valuesMissing
보증액 has 8341 (83.4%) missing valuesMissing
월세액 has 8343 (83.4%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
공장판매직직원수 is highly skewed (γ1 = 23.69468558)Skewed
시설총규모 is highly skewed (γ1 = 20.33315297)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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 386 (3.9%) zerosZeros
공장판매직직원수 has 5351 (53.5%) zerosZeros
공장생산직직원수 has 5204 (52.0%) zerosZeros
보증액 has 1647 (16.5%) zerosZeros
월세액 has 1647 (16.5%) zerosZeros
시설총규모 has 9594 (95.9%) zerosZeros

Reproduction

Analysis started2024-04-16 17:10:28.416088
Analysis finished2024-04-16 17:10:30.117993
Duration1.7 second
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%
Mean13389.107
Minimum3
Maximum26863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:30.178899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1280.9
Q16620.75
median13357.5
Q320085.5
95-th percentile25546.1
Maximum26863
Range26860
Interquartile range (IQR)13464.75

Descriptive statistics

Standard deviation7788.5151
Coefficient of variation (CV)0.58170535
Kurtosis-1.1957642
Mean13389.107
Median Absolute Deviation (MAD)6734
Skewness0.0056233389
Sum1.3389107 × 108
Variance60660968
MonotonicityNot monotonic
2024-04-17T02:10:30.306051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257 1
 
< 0.1%
7090 1
 
< 0.1%
1127 1
 
< 0.1%
11630 1
 
< 0.1%
2256 1
 
< 0.1%
18221 1
 
< 0.1%
9507 1
 
< 0.1%
12639 1
 
< 0.1%
25463 1
 
< 0.1%
13683 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
26863 1
< 0.1%
26862 1
< 0.1%
26861 1
< 0.1%
26860 1
< 0.1%
26854 1
< 0.1%
26853 1
< 0.1%
26851 1
< 0.1%
26850 1
< 0.1%
26848 1
< 0.1%
26847 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

Length

2024-04-17T02:10:30.423317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:30.504947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_19_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_19_P
2nd row07_22_19_P
3rd row07_22_19_P
4th row07_22_19_P
5th row07_22_19_P

Common Values

ValueCountFrequency (%)
07_22_19_P 10000
100.0%

Length

2024-04-17T02:10:30.591713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:30.674224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_19_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446468
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:30.744933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22605.665
Coefficient of variation (CV)0.0065590816
Kurtosis-1.2697246
Mean3446468
Median Absolute Deviation (MAD)20000
Skewness-0.3355578
Sum3.446468 × 1010
Variance5.1101608 × 108
MonotonicityNot monotonic
2024-04-17T02:10:30.836781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2202
22.0%
3450000 1882
18.8%
3460000 1551
15.5%
3420000 1498
15.0%
3410000 1293
12.9%
3480000 575
 
5.8%
3430000 547
 
5.5%
3440000 452
 
4.5%
ValueCountFrequency (%)
3410000 1293
12.9%
3420000 1498
15.0%
3430000 547
 
5.5%
3440000 452
 
4.5%
3450000 1882
18.8%
3460000 1551
15.5%
3470000 2202
22.0%
3480000 575
 
5.8%
ValueCountFrequency (%)
3480000 575
 
5.8%
3470000 2202
22.0%
3460000 1551
15.5%
3450000 1882
18.8%
3440000 452
 
4.5%
3430000 547
 
5.5%
3420000 1498
15.0%
3410000 1293
12.9%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T02:10:31.013791image/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 row3410000-107-2015-00005
2nd row3450000-107-2017-00055
3rd row3480000-107-2019-00074
4th row3460000-107-2000-00070
5th row3450000-107-2000-00015
ValueCountFrequency (%)
3410000-107-2015-00005 1
 
< 0.1%
3450000-107-2017-00147 1
 
< 0.1%
3470000-107-2009-00126 1
 
< 0.1%
3460000-107-2009-00086 1
 
< 0.1%
3410000-107-1972-00008 1
 
< 0.1%
3450000-107-2012-00035 1
 
< 0.1%
3410000-107-2012-00023 1
 
< 0.1%
3460000-107-2019-00314 1
 
< 0.1%
3440000-107-2008-00004 1
 
< 0.1%
3420000-107-1998-00011 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T02:10:31.306867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91699
41.7%
- 30000
 
13.6%
1 22356
 
10.2%
2 17628
 
8.0%
7 15092
 
6.9%
3 13787
 
6.3%
4 13103
 
6.0%
5 4290
 
1.9%
9 4271
 
1.9%
6 4236
 
1.9%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91699
48.3%
1 22356
 
11.8%
2 17628
 
9.3%
7 15092
 
7.9%
3 13787
 
7.3%
4 13103
 
6.9%
5 4290
 
2.3%
9 4271
 
2.2%
6 4236
 
2.2%
8 3538
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91699
41.7%
- 30000
 
13.6%
1 22356
 
10.2%
2 17628
 
8.0%
7 15092
 
6.9%
3 13787
 
6.3%
4 13103
 
6.0%
5 4290
 
1.9%
9 4271
 
1.9%
6 4236
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91699
41.7%
- 30000
 
13.6%
1 22356
 
10.2%
2 17628
 
8.0%
7 15092
 
6.9%
3 13787
 
6.3%
4 13103
 
6.0%
5 4290
 
1.9%
9 4271
 
1.9%
6 4236
 
1.9%

인허가일자
Real number (ℝ)

Distinct4458
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126030
Minimum19720422
Maximum20220930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:31.457798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720422
5-th percentile19980309
Q120070722
median20160704
Q320191002
95-th percentile20220209
Maximum20220930
Range500508
Interquartile range (IQR)120279.75

Descriptive statistics

Standard deviation83895.451
Coefficient of variation (CV)0.0041685048
Kurtosis1.3077151
Mean20126030
Median Absolute Deviation (MAD)49825.5
Skewness-1.1273127
Sum2.012603 × 1011
Variance7.0384467 × 109
MonotonicityNot monotonic
2024-04-17T02:10:31.600225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000229 49
 
0.5%
20000228 43
 
0.4%
19960328 27
 
0.3%
20201214 14
 
0.1%
19960320 13
 
0.1%
20210112 12
 
0.1%
20161206 12
 
0.1%
20191125 12
 
0.1%
20030617 11
 
0.1%
20210209 11
 
0.1%
Other values (4448) 9796
98.0%
ValueCountFrequency (%)
19720422 1
< 0.1%
19720501 1
< 0.1%
19720518 1
< 0.1%
19720523 1
< 0.1%
19720529 1
< 0.1%
19720608 1
< 0.1%
19720612 1
< 0.1%
19720624 1
< 0.1%
19720701 1
< 0.1%
19720804 1
< 0.1%
ValueCountFrequency (%)
20220930 6
0.1%
20220929 4
< 0.1%
20220928 5
0.1%
20220927 3
< 0.1%
20220926 3
< 0.1%
20220923 2
 
< 0.1%
20220922 7
0.1%
20220921 3
< 0.1%
20220920 2
 
< 0.1%
20220919 3
< 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
8188 
1
1812 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8188
81.9%
1 1812
 
18.1%

Length

2024-04-17T02:10:31.717589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:31.799027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8188
81.9%
1 1812
 
18.1%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8188 
영업/정상
1812 

Length

Max length5
Median length2
Mean length2.5436
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8188
81.9%
영업/정상 1812
 
18.1%

Length

2024-04-17T02:10:31.883531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:31.968830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8188
81.9%
영업/정상 1812
 
18.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8188 
1
1812 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8188
81.9%
1 1812
 
18.1%

Length

2024-04-17T02:10:32.056969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:32.139815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8188
81.9%
1 1812
 
18.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8188 
영업
1812 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8188
81.9%
영업 1812
 
18.1%

Length

2024-04-17T02:10:32.223628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:32.305556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8188
81.9%
영업 1812
 
18.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3889
Distinct (%)47.5%
Missing1812
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean20147606
Minimum20000719
Maximum20220929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:32.404036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000719
5-th percentile20040701
Q120100624
median20170402
Q320191130
95-th percentile20220212
Maximum20220929
Range220210
Interquartile range (IQR)90506

Descriptive statistics

Standard deviation57402.561
Coefficient of variation (CV)0.0028491008
Kurtosis-0.88081764
Mean20147606
Median Absolute Deviation (MAD)39719
Skewness-0.61306172
Sum1.649686 × 1011
Variance3.295054 × 109
MonotonicityNot monotonic
2024-04-17T02:10:32.532663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141014 20
 
0.2%
20190821 12
 
0.1%
20191128 11
 
0.1%
20201231 11
 
0.1%
20180425 11
 
0.1%
20210422 11
 
0.1%
20191030 11
 
0.1%
20210317 10
 
0.1%
20200429 10
 
0.1%
20201126 10
 
0.1%
Other values (3879) 8071
80.7%
(Missing) 1812
 
18.1%
ValueCountFrequency (%)
20000719 1
< 0.1%
20000920 1
< 0.1%
20001017 1
< 0.1%
20010316 1
< 0.1%
20010509 1
< 0.1%
20011029 1
< 0.1%
20011113 1
< 0.1%
20011204 1
< 0.1%
20011217 1
< 0.1%
20011228 1
< 0.1%
ValueCountFrequency (%)
20220929 3
< 0.1%
20220928 6
0.1%
20220927 1
 
< 0.1%
20220926 4
< 0.1%
20220924 3
< 0.1%
20220922 3
< 0.1%
20220921 2
 
< 0.1%
20220917 1
 
< 0.1%
20220916 1
 
< 0.1%
20220914 4
< 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 

Distinct3412
Distinct (%)78.6%
Missing5657
Missing (%)56.6%
Memory size156.2 KiB
2024-04-17T02:10:32.826816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.82915
Min length3

Characters and Unicode

Total characters47031
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

Unique3083 ?
Unique (%)71.0%

Sample

1st row7530873
2nd row3112240
3rd row7560401
4th row053 9549965
5th row7942122
ValueCountFrequency (%)
053 2735
28.9%
031 261
 
2.8%
02 149
 
1.6%
055 120
 
1.3%
051 68
 
0.7%
070 57
 
0.6%
062 42
 
0.4%
1234 38
 
0.4%
858 33
 
0.3%
1226 31
 
0.3%
Other values (3593) 5943
62.7%
2024-04-17T02:10:33.304505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7256
15.4%
0 6929
14.7%
3 6269
13.3%
5294
11.3%
2 4273
9.1%
6 3281
7.0%
1 3164
6.7%
7 2983
6.3%
4 2649
 
5.6%
8 2624
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41737
88.7%
Space Separator 5294
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7256
17.4%
0 6929
16.6%
3 6269
15.0%
2 4273
10.2%
6 3281
7.9%
1 3164
7.6%
7 2983
7.1%
4 2649
 
6.3%
8 2624
 
6.3%
9 2309
 
5.5%
Space Separator
ValueCountFrequency (%)
5294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7256
15.4%
0 6929
14.7%
3 6269
13.3%
5294
11.3%
2 4273
9.1%
6 3281
7.0%
1 3164
6.7%
7 2983
6.3%
4 2649
 
5.6%
8 2624
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7256
15.4%
0 6929
14.7%
3 6269
13.3%
5294
11.3%
2 4273
9.1%
6 3281
7.0%
1 3164
6.7%
7 2983
6.3%
4 2649
 
5.6%
8 2624
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1984
Distinct (%)34.6%
Missing4271
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean22.222341
Minimum0
Maximum486.25
Zeros386
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:33.437604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15.91
Q330.7
95-th percentile61.224
Maximum486.25
Range486.25
Interquartile range (IQR)24.7

Descriptive statistics

Standard deviation26.175943
Coefficient of variation (CV)1.1779111
Kurtosis60.436002
Mean22.222341
Median Absolute Deviation (MAD)11.57
Skewness5.3369129
Sum127311.79
Variance685.17997
MonotonicityNot monotonic
2024-04-17T02:10:33.761241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 386
 
3.9%
3.3 168
 
1.7%
6.0 150
 
1.5%
6.6 125
 
1.2%
4.0 86
 
0.9%
10.0 77
 
0.8%
3.0 75
 
0.8%
12.0 73
 
0.7%
2.0 72
 
0.7%
5.0 65
 
0.7%
Other values (1974) 4452
44.5%
(Missing) 4271
42.7%
ValueCountFrequency (%)
0.0 386
3.9%
0.32 1
 
< 0.1%
0.35 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 1
 
< 0.1%
0.63 1
 
< 0.1%
0.7 1
 
< 0.1%
0.75 1
 
< 0.1%
0.8 1
 
< 0.1%
0.84 2
 
< 0.1%
ValueCountFrequency (%)
486.25 1
< 0.1%
439.36 1
< 0.1%
433.0 1
< 0.1%
396.0 1
< 0.1%
337.0 1
< 0.1%
292.0 1
< 0.1%
268.66 1
< 0.1%
250.7 1
< 0.1%
247.0 1
< 0.1%
243.76 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct588
Distinct (%)6.0%
Missing138
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean703958.34
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:33.877989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700092
Q1701860
median703816
Q3704954
95-th percentile706850
Maximum711893
Range11883
Interquartile range (IQR)3094

Descriptive statistics

Standard deviation2680.1132
Coefficient of variation (CV)0.0038072043
Kurtosis1.1622033
Mean703958.34
Median Absolute Deviation (MAD)1956
Skewness0.91126357
Sum6.9424371 × 109
Variance7183006.9
MonotonicityNot monotonic
2024-04-17T02:10:34.006480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701020 426
 
4.3%
704923 343
 
3.4%
700082 321
 
3.2%
700718 291
 
2.9%
706803 288
 
2.9%
702886 279
 
2.8%
704722 255
 
2.5%
704800 240
 
2.4%
702746 223
 
2.2%
704808 202
 
2.0%
Other values (578) 6994
69.9%
ValueCountFrequency (%)
700010 4
 
< 0.1%
700020 2
 
< 0.1%
700040 2
 
< 0.1%
700060 1
 
< 0.1%
700070 155
1.6%
700081 2
 
< 0.1%
700082 321
3.2%
700092 74
 
0.7%
700093 7
 
0.1%
700100 1
 
< 0.1%
ValueCountFrequency (%)
711893 2
 
< 0.1%
711891 13
 
0.1%
711874 44
0.4%
711873 7
 
0.1%
711872 2
 
< 0.1%
711871 1
 
< 0.1%
711864 14
 
0.1%
711863 10
 
0.1%
711862 5
 
0.1%
711858 1
 
< 0.1%

소재지전체주소
Text

Distinct5299
Distinct (%)53.1%
Missing17
Missing (%)0.2%
Memory size156.2 KiB
2024-04-17T02:10:34.269770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length25.463288
Min length16

Characters and Unicode

Total characters254200
Distinct characters422
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4700 ?
Unique (%)47.1%

Sample

1st row대구광역시 중구 계산동2가 0200 지하1층
2nd row대구광역시 북구 읍내동 1343-6
3rd row대구광역시 달성군 옥포읍 교항리 2934 109호
4th row대구광역시 수성구 범어동 1004-37 , 38, 39
5th row대구광역시 북구 매천동 527-3 농수산물도매시장관련 상가B동 84호
ValueCountFrequency (%)
대구광역시 9983
 
20.2%
달서구 2199
 
4.4%
북구 1869
 
3.8%
수성구 1552
 
3.1%
동구 1498
 
3.0%
중구 1293
 
2.6%
1층 629
 
1.3%
칠성동2가 583
 
1.2%
상인동 581
 
1.2%
달성군 573
 
1.2%
Other values (5498) 28703
58.0%
2024-04-17T02:10:34.691490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49137
19.3%
구 20496
 
8.1%
대 12852
 
5.1%
동 12636
 
5.0%
1 12044
 
4.7%
시 10287
 
4.0%
역 10147
 
4.0%
광 9991
 
3.9%
0 7743
 
3.0%
2 6916
 
2.7%
Other values (412) 101951
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145731
57.3%
Decimal Number 50810
 
20.0%
Space Separator 49137
 
19.3%
Dash Punctuation 6451
 
2.5%
Open Punctuation 581
 
0.2%
Close Punctuation 576
 
0.2%
Uppercase Letter 362
 
0.1%
Lowercase Letter 280
 
0.1%
Other Punctuation 260
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20496
 
14.1%
대 12852
 
8.8%
동 12636
 
8.7%
시 10287
 
7.1%
역 10147
 
7.0%
광 9991
 
6.9%
성 3886
 
2.7%
서 3191
 
2.2%
달 2856
 
2.0%
점 2236
 
1.5%
Other values (365) 57153
39.2%
Uppercase Letter
ValueCountFrequency (%)
B 80
22.1%
A 79
21.8%
S 63
17.4%
K 48
13.3%
H 41
11.3%
G 11
 
3.0%
M 7
 
1.9%
C 7
 
1.9%
P 5
 
1.4%
T 5
 
1.4%
Other values (9) 16
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 12044
23.7%
0 7743
15.2%
2 6916
13.6%
5 5792
11.4%
3 4760
 
9.4%
6 3487
 
6.9%
4 3147
 
6.2%
8 2400
 
4.7%
7 2261
 
4.4%
9 2260
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 46
16.4%
u 39
13.9%
l 39
13.9%
s 39
13.9%
p 39
13.9%
o 39
13.9%
m 39
13.9%
Other Punctuation
ValueCountFrequency (%)
, 220
84.6%
. 25
 
9.6%
/ 9
 
3.5%
@ 5
 
1.9%
: 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 10
83.3%
+ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
49137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6451
100.0%
Open Punctuation
ValueCountFrequency (%)
( 581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145729
57.3%
Common 107827
42.4%
Latin 642
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20496
 
14.1%
대 12852
 
8.8%
동 12636
 
8.7%
시 10287
 
7.1%
역 10147
 
7.0%
광 9991
 
6.9%
성 3886
 
2.7%
서 3191
 
2.2%
달 2856
 
2.0%
점 2236
 
1.5%
Other values (364) 57151
39.2%
Latin
ValueCountFrequency (%)
B 80
12.5%
A 79
12.3%
S 63
9.8%
K 48
 
7.5%
e 46
 
7.2%
H 41
 
6.4%
u 39
 
6.1%
l 39
 
6.1%
s 39
 
6.1%
p 39
 
6.1%
Other values (16) 129
20.1%
Common
ValueCountFrequency (%)
49137
45.6%
1 12044
 
11.2%
0 7743
 
7.2%
2 6916
 
6.4%
- 6451
 
6.0%
5 5792
 
5.4%
3 4760
 
4.4%
6 3487
 
3.2%
4 3147
 
2.9%
8 2400
 
2.2%
Other values (11) 5950
 
5.5%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145729
57.3%
ASCII 108469
42.7%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49137
45.3%
1 12044
 
11.1%
0 7743
 
7.1%
2 6916
 
6.4%
- 6451
 
5.9%
5 5792
 
5.3%
3 4760
 
4.4%
6 3487
 
3.2%
4 3147
 
2.9%
8 2400
 
2.2%
Other values (37) 6592
 
6.1%
Hangul
ValueCountFrequency (%)
구 20496
 
14.1%
대 12852
 
8.8%
동 12636
 
8.7%
시 10287
 
7.1%
역 10147
 
7.0%
광 9991
 
6.9%
성 3886
 
2.7%
서 3191
 
2.2%
달 2856
 
2.0%
점 2236
 
1.5%
Other values (364) 57151
39.2%
CJK
ValueCountFrequency (%)
內 2
100.0%

도로명전체주소
Text

MISSING 

Distinct4136
Distinct (%)55.9%
Missing2598
Missing (%)26.0%
Memory size156.2 KiB
2024-04-17T02:10:35.002610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length32.508241
Min length19

Characters and Unicode

Total characters240626
Distinct characters438
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

Unique3673 ?
Unique (%)49.6%

Sample

1st row대구광역시 중구 달구벌대로 2077 (계산동2가, 지하1층)
2nd row대구광역시 북구 칠곡중앙대로 416, 지하1층 (읍내동)
3rd row대구광역시 달성군 옥포읍 돌미상업로 6, 1층 109호
4th row대구광역시 수성구 범어천로 212-37 (범어동,, 38, 39)
5th row대구광역시 수성구 수성로 210 (중동)
ValueCountFrequency (%)
대구광역시 7402
 
15.5%
1층 2175
 
4.6%
달서구 1582
 
3.3%
북구 1285
 
2.7%
동구 1251
 
2.6%
지하1층 1201
 
2.5%
수성구 1161
 
2.4%
중구 988
 
2.1%
달구벌대로 771
 
1.6%
신천동 487
 
1.0%
Other values (3672) 29327
61.6%
2024-04-17T02:10:35.461117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40258
 
16.7%
구 16460
 
6.8%
대 11420
 
4.7%
동 11236
 
4.7%
1 9654
 
4.0%
시 7714
 
3.2%
역 7583
 
3.2%
광 7410
 
3.1%
로 7346
 
3.1%
) 7191
 
3.0%
Other values (428) 114354
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145877
60.6%
Space Separator 40258
 
16.7%
Decimal Number 31825
 
13.2%
Close Punctuation 7191
 
3.0%
Open Punctuation 7191
 
3.0%
Other Punctuation 6771
 
2.8%
Dash Punctuation 904
 
0.4%
Uppercase Letter 354
 
0.1%
Lowercase Letter 247
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16460
 
11.3%
대 11420
 
7.8%
동 11236
 
7.7%
시 7714
 
5.3%
역 7583
 
5.2%
광 7410
 
5.1%
로 7346
 
5.0%
층 4232
 
2.9%
성 3516
 
2.4%
달 3105
 
2.1%
Other values (377) 65855
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 71
20.1%
A 70
19.8%
S 64
18.1%
K 54
15.3%
H 37
10.5%
C 14
 
4.0%
E 8
 
2.3%
G 7
 
2.0%
M 5
 
1.4%
T 5
 
1.4%
Other values (10) 19
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 9654
30.3%
2 4963
15.6%
3 3563
 
11.2%
4 2438
 
7.7%
0 2233
 
7.0%
6 2043
 
6.4%
9 1980
 
6.2%
7 1930
 
6.1%
5 1557
 
4.9%
8 1464
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 39
15.8%
s 36
14.6%
u 34
13.8%
o 34
13.8%
p 34
13.8%
l 34
13.8%
m 34
13.8%
g 1
 
0.4%
b 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 6753
99.7%
. 8
 
0.1%
/ 4
 
0.1%
@ 4
 
0.1%
& 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
+ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
40258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145877
60.6%
Common 94148
39.1%
Latin 601
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16460
 
11.3%
대 11420
 
7.8%
동 11236
 
7.7%
시 7714
 
5.3%
역 7583
 
5.2%
광 7410
 
5.1%
로 7346
 
5.0%
층 4232
 
2.9%
성 3516
 
2.4%
달 3105
 
2.1%
Other values (377) 65855
45.1%
Latin
ValueCountFrequency (%)
B 71
11.8%
A 70
11.6%
S 64
10.6%
K 54
9.0%
e 39
 
6.5%
H 37
 
6.2%
s 36
 
6.0%
u 34
 
5.7%
o 34
 
5.7%
p 34
 
5.7%
Other values (19) 128
21.3%
Common
ValueCountFrequency (%)
40258
42.8%
1 9654
 
10.3%
) 7191
 
7.6%
( 7191
 
7.6%
, 6753
 
7.2%
2 4963
 
5.3%
3 3563
 
3.8%
4 2438
 
2.6%
0 2233
 
2.4%
6 2043
 
2.2%
Other values (12) 7861
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145877
60.6%
ASCII 94748
39.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40258
42.5%
1 9654
 
10.2%
) 7191
 
7.6%
( 7191
 
7.6%
, 6753
 
7.1%
2 4963
 
5.2%
3 3563
 
3.8%
4 2438
 
2.6%
0 2233
 
2.4%
6 2043
 
2.2%
Other values (40) 8461
 
8.9%
Hangul
ValueCountFrequency (%)
구 16460
 
11.3%
대 11420
 
7.8%
동 11236
 
7.7%
시 7714
 
5.3%
역 7583
 
5.2%
광 7410
 
5.1%
로 7346
 
5.0%
층 4232
 
2.9%
성 3516
 
2.4%
달 3105
 
2.1%
Other values (377) 65855
45.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct993
Distinct (%)13.5%
Missing2641
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean42010.486
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:35.586154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41097
Q141530
median41953
Q342620
95-th percentile42927
Maximum43024
Range2024
Interquartile range (IQR)1090

Descriptive statistics

Standard deviation588.47694
Coefficient of variation (CV)0.014007859
Kurtosis-1.2052537
Mean42010.486
Median Absolute Deviation (MAD)519
Skewness0.03734419
Sum3.0915516 × 108
Variance346305.11
MonotonicityNot monotonic
2024-04-17T02:10:35.718263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41229 444
 
4.4%
41936 440
 
4.4%
41953 267
 
2.7%
42637 255
 
2.5%
42037 249
 
2.5%
41581 210
 
2.1%
42809 205
 
2.1%
42778 197
 
2.0%
41422 148
 
1.5%
42620 125
 
1.2%
Other values (983) 4819
48.2%
(Missing) 2641
26.4%
ValueCountFrequency (%)
41000 5
0.1%
41001 5
0.1%
41002 11
0.1%
41003 1
 
< 0.1%
41005 6
0.1%
41007 2
 
< 0.1%
41008 1
 
< 0.1%
41009 2
 
< 0.1%
41016 1
 
< 0.1%
41019 1
 
< 0.1%
ValueCountFrequency (%)
43024 8
0.1%
43018 18
0.2%
43017 9
0.1%
43015 2
 
< 0.1%
43014 16
0.2%
43013 1
 
< 0.1%
43010 2
 
< 0.1%
43009 1
 
< 0.1%
43008 7
 
0.1%
43007 1
 
< 0.1%

사업장명
Text

Distinct5575
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T02:10:35.963157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length6.16
Min length1

Characters and Unicode

Total characters61600
Distinct characters861
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4572 ?
Unique (%)45.7%

Sample

1st row미다움 주식회사
2nd row(주)부촌푸드
3rd row또보제이
4th row안동떡방앗간
5th row형제상회
ValueCountFrequency (%)
주식회사 302
 
2.7%
주)부촌푸드 106
 
1.0%
은호유통 97
 
0.9%
주)미트벨리 75
 
0.7%
주)인네이처 72
 
0.7%
한아름농특산 71
 
0.6%
주)정성 65
 
0.6%
제이수산 64
 
0.6%
주)해가원 62
 
0.6%
주경식품 58
 
0.5%
Other values (5783) 10011
91.1%
2024-04-17T02:10:36.334830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2491
 
4.0%
) 2161
 
3.5%
( 2105
 
3.4%
식 1403
 
2.3%
산 1327
 
2.2%
드 1027
 
1.7%
이 988
 
1.6%
984
 
1.6%
원 861
 
1.4%
사 839
 
1.4%
Other values (851) 47414
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54853
89.0%
Close Punctuation 2161
 
3.5%
Open Punctuation 2105
 
3.4%
Space Separator 984
 
1.6%
Lowercase Letter 624
 
1.0%
Uppercase Letter 578
 
0.9%
Decimal Number 153
 
0.2%
Other Punctuation 117
 
0.2%
Dash Punctuation 19
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2491
 
4.5%
식 1403
 
2.6%
산 1327
 
2.4%
드 1027
 
1.9%
이 988
 
1.8%
원 861
 
1.6%
사 839
 
1.5%
푸 822
 
1.5%
품 759
 
1.4%
스 730
 
1.3%
Other values (775) 43606
79.5%
Lowercase Letter
ValueCountFrequency (%)
e 93
14.9%
o 81
13.0%
a 52
 
8.3%
n 37
 
5.9%
i 36
 
5.8%
r 32
 
5.1%
m 30
 
4.8%
t 28
 
4.5%
l 27
 
4.3%
s 24
 
3.8%
Other values (15) 184
29.5%
Uppercase Letter
ValueCountFrequency (%)
A 46
 
8.0%
E 45
 
7.8%
O 44
 
7.6%
S 43
 
7.4%
F 42
 
7.3%
C 41
 
7.1%
D 32
 
5.5%
K 30
 
5.2%
I 30
 
5.2%
T 29
 
5.0%
Other values (14) 196
33.9%
Decimal Number
ValueCountFrequency (%)
1 39
25.5%
2 19
12.4%
0 18
11.8%
5 15
 
9.8%
3 14
 
9.2%
8 13
 
8.5%
7 10
 
6.5%
9 9
 
5.9%
6 8
 
5.2%
4 8
 
5.2%
Other Punctuation
ValueCountFrequency (%)
& 39
33.3%
. 38
32.5%
, 15
 
12.8%
' 12
 
10.3%
: 6
 
5.1%
! 3
 
2.6%
/ 2
 
1.7%
; 1
 
0.9%
% 1
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2105
100.0%
Space Separator
ValueCountFrequency (%)
984
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54831
89.0%
Common 5542
 
9.0%
Latin 1205
 
2.0%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2491
 
4.5%
식 1403
 
2.6%
산 1327
 
2.4%
드 1027
 
1.9%
이 988
 
1.8%
원 861
 
1.6%
사 839
 
1.5%
푸 822
 
1.5%
품 759
 
1.4%
스 730
 
1.3%
Other values (764) 43584
79.5%
Latin
ValueCountFrequency (%)
e 93
 
7.7%
o 81
 
6.7%
a 52
 
4.3%
A 46
 
3.8%
E 45
 
3.7%
O 44
 
3.7%
S 43
 
3.6%
F 42
 
3.5%
C 41
 
3.4%
n 37
 
3.1%
Other values (41) 681
56.5%
Common
ValueCountFrequency (%)
) 2161
39.0%
( 2105
38.0%
984
17.8%
1 39
 
0.7%
& 39
 
0.7%
. 38
 
0.7%
2 19
 
0.3%
- 19
 
0.3%
0 18
 
0.3%
, 15
 
0.3%
Other values (15) 105
 
1.9%
Han
ValueCountFrequency (%)
內 11
50.0%
眞 2
 
9.1%
森 1
 
4.5%
純 1
 
4.5%
美 1
 
4.5%
微 1
 
4.5%
家 1
 
4.5%
人 1
 
4.5%
女 1
 
4.5%
米 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54831
89.0%
ASCII 6744
 
10.9%
CJK 21
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2491
 
4.5%
식 1403
 
2.6%
산 1327
 
2.4%
드 1027
 
1.9%
이 988
 
1.8%
원 861
 
1.6%
사 839
 
1.5%
푸 822
 
1.5%
품 759
 
1.4%
스 730
 
1.3%
Other values (764) 43584
79.5%
ASCII
ValueCountFrequency (%)
) 2161
32.0%
( 2105
31.2%
984
14.6%
e 93
 
1.4%
o 81
 
1.2%
a 52
 
0.8%
A 46
 
0.7%
E 45
 
0.7%
O 44
 
0.7%
S 43
 
0.6%
Other values (64) 1090
16.2%
CJK
ValueCountFrequency (%)
內 11
52.4%
眞 2
 
9.5%
森 1
 
4.8%
純 1
 
4.8%
美 1
 
4.8%
微 1
 
4.8%
家 1
 
4.8%
人 1
 
4.8%
米 1
 
4.8%
愛 1
 
4.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

최종수정시점
Real number (ℝ)

Distinct7782
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0147979 × 1013
Minimum2.0010821 × 1013
Maximum2.022093 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:36.457921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010821 × 1013
5-th percentile2.0021023 × 1013
Q12.0100205 × 1013
median2.0171114 × 1013
Q32.0200624 × 1013
95-th percentile2.0220422 × 1013
Maximum2.022093 × 1013
Range2.1010918 × 1011
Interquartile range (IQR)1.0041923 × 1011

Descriptive statistics

Standard deviation6.3824026 × 1010
Coefficient of variation (CV)0.0031677632
Kurtosis-0.83385885
Mean2.0147979 × 1013
Median Absolute Deviation (MAD)3.9615958 × 1010
Skewness-0.71706201
Sum2.0147979 × 1017
Variance4.0735063 × 1021
MonotonicityNot monotonic
2024-04-17T02:10:36.577284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021028000000 39
 
0.4%
20041011000000 38
 
0.4%
20021021000000 33
 
0.3%
20031218000000 25
 
0.2%
20010822000000 19
 
0.2%
20020725000000 19
 
0.2%
20020201000000 16
 
0.2%
20011123000000 15
 
0.1%
20020530000000 15
 
0.1%
20030605000000 15
 
0.1%
Other values (7772) 9766
97.7%
ValueCountFrequency (%)
20010821000000 11
0.1%
20010822000000 19
0.2%
20011015000000 1
 
< 0.1%
20011026000000 1
 
< 0.1%
20011029000000 1
 
< 0.1%
20011116000000 6
 
0.1%
20011119000000 11
0.1%
20011120000000 11
0.1%
20011121000000 10
0.1%
20011122000000 6
 
0.1%
ValueCountFrequency (%)
20220930175645 1
< 0.1%
20220930174904 1
< 0.1%
20220930171700 1
< 0.1%
20220930133504 1
< 0.1%
20220930131704 1
< 0.1%
20220930122151 1
< 0.1%
20220930113617 1
< 0.1%
20220930111759 1
< 0.1%
20220930102607 1
< 0.1%
20220930094851 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6139 
U
3861 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6139
61.4%
U 3861
38.6%

Length

2024-04-17T02:10:36.686272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:36.765619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6139
61.4%
u 3861
38.6%

데이터갱신일자
Date

Distinct1421
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-02 02:40:00
2024-04-17T02:10:36.852862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T02:10:36.970740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9995 
기타
 
4
한식
 
1

Length

Max length9
Median length9
Mean length8.9965
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 4
 
< 0.1%
한식 1
 
< 0.1%

Length

2024-04-17T02:10:37.084256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:37.182099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 4
 
< 0.1%
한식 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3806
Distinct (%)38.9%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean343195.02
Minimum326739.52
Maximum358012.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:37.287730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326739.52
5-th percentile335188.53
Q1339331.24
median343588.74
Q3346601.96
95-th percentile353680.38
Maximum358012.43
Range31272.907
Interquartile range (IQR)7270.7138

Descriptive statistics

Standard deviation5230.8343
Coefficient of variation (CV)0.01524158
Kurtosis0.23085949
Mean343195.02
Median Absolute Deviation (MAD)3504.5888
Skewness0.15932795
Sum3.3598792 × 109
Variance27361628
MonotonicityNot monotonic
2024-04-17T02:10:37.412835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.24197 426
 
4.3%
345032.238221 376
 
3.8%
339047.793379 344
 
3.4%
343588.735555 302
 
3.0%
347757.985568 278
 
2.8%
344047.164924 261
 
2.6%
337916.079938 259
 
2.6%
340320.72271 241
 
2.4%
337647.188647 228
 
2.3%
343705.561002 167
 
1.7%
Other values (3796) 6908
69.1%
(Missing) 210
 
2.1%
ValueCountFrequency (%)
326739.522357 1
< 0.1%
327182.773724 1
< 0.1%
327316.443399 1
< 0.1%
327557.239554 1
< 0.1%
327597.808245 1
< 0.1%
327646.719828 1
< 0.1%
327853.173809 1
< 0.1%
328032.453545 1
< 0.1%
328124.028974 1
< 0.1%
328224.047138 1
< 0.1%
ValueCountFrequency (%)
358012.428889 1
 
< 0.1%
357990.643845 1
 
< 0.1%
357870.136201 1
 
< 0.1%
356484.612255 1
 
< 0.1%
356477.570168 1
 
< 0.1%
356429.740533 1
 
< 0.1%
356405.556839 1
 
< 0.1%
356388.525062 2
 
< 0.1%
356353.91544 6
0.1%
356353.404987 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3806
Distinct (%)38.9%
Missing210
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean263330.2
Minimum239131.29
Maximum278333.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:37.533198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239131.29
5-th percentile257660.44
Q1261327.13
median263530.81
Q3265407.4
95-th percentile271593.9
Maximum278333.97
Range39202.671
Interquartile range (IQR)4080.2715

Descriptive statistics

Standard deviation4472.2246
Coefficient of variation (CV)0.016983333
Kurtosis4.3980941
Mean263330.2
Median Absolute Deviation (MAD)1876.5944
Skewness-0.91048003
Sum2.5780027 × 109
Variance20000793
MonotonicityNot monotonic
2024-04-17T02:10:37.666500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404337 426
 
4.3%
262949.871621 376
 
3.8%
258741.90218 344
 
3.4%
264119.01075 302
 
3.0%
264692.74418 278
 
2.8%
265132.987974 261
 
2.6%
262111.061698 259
 
2.6%
272735.67566 241
 
2.4%
258512.316695 228
 
2.3%
264056.630949 167
 
1.7%
Other values (3796) 6908
69.1%
(Missing) 210
 
2.1%
ValueCountFrequency (%)
239131.294994 1
< 0.1%
239240.086699 1
< 0.1%
240358.722944 1
< 0.1%
240575.186404 1
< 0.1%
240588.948625 1
< 0.1%
240649.764742 1
< 0.1%
240739.938523 1
< 0.1%
240755.214221 1
< 0.1%
240764.047846 1
< 0.1%
241006.164731 2
< 0.1%
ValueCountFrequency (%)
278333.965932 2
< 0.1%
278232.384481 1
< 0.1%
278073.623286 1
< 0.1%
277930.121883 1
< 0.1%
277587.768931 1
< 0.1%
277097.799604 1
< 0.1%
277076.243491 1
< 0.1%
276971.36215 1
< 0.1%
276811.276708 1
< 0.1%
275958.764178 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9995 
기타
 
4
한식
 
1

Length

Max length9
Median length9
Mean length8.9965
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 4
 
< 0.1%
한식 1
 
< 0.1%

Length

2024-04-17T02:10:37.798022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:37.888900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 4
 
< 0.1%
한식 1
 
< 0.1%

남성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8653 
0
1347 

Length

Max length4
Median length4
Mean length3.5959
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8653
86.5%
0 1347
 
13.5%

Length

2024-04-17T02:10:37.985216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.066450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8653
86.5%
0 1347
 
13.5%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8653 
0
1347 

Length

Max length4
Median length4
Mean length3.5959
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8653
86.5%
0 1347
 
13.5%

Length

2024-04-17T02:10:38.153961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.236498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8653
86.5%
0 1347
 
13.5%

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>
7486 
상수도전용
2509 
간이상수도
 
2
전용상수도(특정시설의 자가용 수도)
 
2
지하수전용
 
1

Length

Max length19
Median length4
Mean length4.2542
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7486
74.9%
상수도전용 2509
 
25.1%
간이상수도 2
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
지하수전용 1
 
< 0.1%

Length

2024-04-17T02:10:38.330403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.431186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7486
74.8%
상수도전용 2509
 
25.1%
간이상수도 2
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
지하수전용 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8667 
0
1333 

Length

Max length4
Median length4
Mean length3.6001
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8667
86.7%
0 1333
 
13.3%

Length

2024-04-17T02:10:38.528786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.615364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8667
86.7%
0 1333
 
13.3%

본사직원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5640 
<NA>
4284 
1
 
67
2
 
9

Length

Max length4
Median length1
Mean length2.2852
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 5640
56.4%
<NA> 4284
42.8%
1 67
 
0.7%
2 9
 
0.1%

Length

2024-04-17T02:10:38.710660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.802343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5640
56.4%
na 4284
42.8%
1 67
 
0.7%
2 9
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5691 
<NA>
4284 
1
 
23
10
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.2853
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5691
56.9%
<NA> 4284
42.8%
1 23
 
0.2%
10 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-17T02:10:38.901558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:38.989936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5691
56.9%
na 4284
42.8%
1 23
 
0.2%
10 1
 
< 0.1%
2 1
 
< 0.1%

공장판매직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.1%
Missing4280
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean0.077272727
Minimum0
Maximum20
Zeros5351
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:39.350733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40017601
Coefficient of variation (CV)5.1787484
Kurtosis1084.1955
Mean0.077272727
Median Absolute Deviation (MAD)0
Skewness23.694686
Sum442
Variance0.16014084
MonotonicityNot monotonic
2024-04-17T02:10:39.442659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 5351
53.5%
1 320
 
3.2%
2 45
 
0.4%
20 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 4280
42.8%
ValueCountFrequency (%)
0 5351
53.5%
1 320
 
3.2%
2 45
 
0.4%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 45
 
0.4%
1 320
 
3.2%
0 5351
53.5%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.1%
Missing4283
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean0.11439566
Minimum0
Maximum6
Zeros5204
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:39.560079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40578075
Coefficient of variation (CV)3.5471691
Kurtosis29.124057
Mean0.11439566
Median Absolute Deviation (MAD)0
Skewness4.6006424
Sum654
Variance0.16465802
MonotonicityNot monotonic
2024-04-17T02:10:39.653504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 5204
52.0%
1 399
 
4.0%
2 96
 
1.0%
3 12
 
0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 4283
42.8%
ValueCountFrequency (%)
0 5204
52.0%
1 399
 
4.0%
2 96
 
1.0%
3 12
 
0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 4
 
< 0.1%
3 12
 
0.1%
2 96
 
1.0%
1 399
 
4.0%
0 5204
52.0%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7093 
자가
1835 
임대
1072 

Length

Max length4
Median length4
Mean length3.4186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7093
70.9%
자가 1835
 
18.4%
임대 1072
 
10.7%

Length

2024-04-17T02:10:39.766994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:10:39.866827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7093
70.9%
자가 1835
 
18.4%
임대 1072
 
10.7%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.6%
Missing8341
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean160940.63
Minimum0
Maximum70000000
Zeros1647
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:39.943651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70000000
Range70000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2447522.7
Coefficient of variation (CV)15.207612
Kurtosis469.47525
Mean160940.63
Median Absolute Deviation (MAD)0
Skewness19.874276
Sum2.670005 × 108
Variance5.9903672 × 1012
MonotonicityNot monotonic
2024-04-17T02:10:40.038920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1647
 
16.5%
30000000 3
 
< 0.1%
20000000 2
 
< 0.1%
15000000 1
 
< 0.1%
4000000 1
 
< 0.1%
10000000 1
 
< 0.1%
70000000 1
 
< 0.1%
500 1
 
< 0.1%
3000000 1
 
< 0.1%
35000000 1
 
< 0.1%
(Missing) 8341
83.4%
ValueCountFrequency (%)
0 1647
16.5%
500 1
 
< 0.1%
3000000 1
 
< 0.1%
4000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
20000000 2
 
< 0.1%
30000000 3
 
< 0.1%
35000000 1
 
< 0.1%
70000000 1
 
< 0.1%
ValueCountFrequency (%)
70000000 1
 
< 0.1%
35000000 1
 
< 0.1%
30000000 3
 
< 0.1%
20000000 2
 
< 0.1%
15000000 1
 
< 0.1%
10000000 1
 
< 0.1%
4000000 1
 
< 0.1%
3000000 1
 
< 0.1%
500 1
 
< 0.1%
0 1647
16.5%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.6%
Missing8343
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean3228.7417
Minimum0
Maximum1300000
Zeros1647
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:40.140419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1300000
Range1300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53417.202
Coefficient of variation (CV)16.544278
Kurtosis428.91548
Mean3228.7417
Median Absolute Deviation (MAD)0
Skewness19.934454
Sum5350025
Variance2.8533974 × 109
MonotonicityNot monotonic
2024-04-17T02:10:40.240192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1647
 
16.5%
400000 2
 
< 0.1%
1300000 1
 
< 0.1%
950000 1
 
< 0.1%
500000 1
 
< 0.1%
300000 1
 
< 0.1%
25 1
 
< 0.1%
100000 1
 
< 0.1%
1200000 1
 
< 0.1%
200000 1
 
< 0.1%
(Missing) 8343
83.4%
ValueCountFrequency (%)
0 1647
16.5%
25 1
 
< 0.1%
100000 1
 
< 0.1%
200000 1
 
< 0.1%
300000 1
 
< 0.1%
400000 2
 
< 0.1%
500000 1
 
< 0.1%
950000 1
 
< 0.1%
1200000 1
 
< 0.1%
1300000 1
 
< 0.1%
ValueCountFrequency (%)
1300000 1
 
< 0.1%
1200000 1
 
< 0.1%
950000 1
 
< 0.1%
500000 1
 
< 0.1%
400000 2
 
< 0.1%
300000 1
 
< 0.1%
200000 1
 
< 0.1%
100000 1
 
< 0.1%
25 1
 
< 0.1%
0 1647
16.5%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9998 
True
 
2
ValueCountFrequency (%)
False 9998
> 99.9%
True 2
 
< 0.1%
2024-04-17T02:10:40.329023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct289
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.681061
Minimum0
Maximum264.05
Zeros9594
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T02:10:40.422982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum264.05
Range264.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4696782
Coefficient of variation (CV)8.0311134
Kurtosis708.22656
Mean0.681061
Median Absolute Deviation (MAD)0
Skewness20.333153
Sum6810.61
Variance29.917379
MonotonicityNot monotonic
2024-04-17T02:10:40.546515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9594
95.9%
10.0 12
 
0.1%
2.0 9
 
0.1%
3.3 9
 
0.1%
1.0 8
 
0.1%
3.0 8
 
0.1%
16.0 7
 
0.1%
12.0 7
 
0.1%
18.0 6
 
0.1%
4.0 5
 
0.1%
Other values (279) 335
 
3.4%
ValueCountFrequency (%)
0.0 9594
95.9%
0.42 1
 
< 0.1%
0.99 1
 
< 0.1%
1.0 8
 
0.1%
1.1 2
 
< 0.1%
1.16 1
 
< 0.1%
1.18 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
264.05 1
< 0.1%
172.7 1
< 0.1%
122.0 1
< 0.1%
94.89 1
< 0.1%
84.0 1
< 0.1%
71.02 1
< 0.1%
70.0 1
< 0.1%
67.3 1
< 0.1%
65.0 1
< 0.1%
64.85 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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
256257즉석판매제조가공업07_22_19_P34100003410000-107-2015-0000520150128<NA>3폐업2폐업20190111<NA><NA><NA><NA>3.3700082대구광역시 중구 계산동2가 0200 지하1층대구광역시 중구 달구벌대로 2077 (계산동2가, 지하1층)41936미다움 주식회사20190111144059U2019-01-13 02:40:00.0즉석판매제조가공업343588.735555264119.01075즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1238612387즉석판매제조가공업07_22_19_P34500003450000-107-2017-0005520170314<NA>3폐업2폐업20170329<NA><NA><NA><NA><NA>702849대구광역시 북구 읍내동 1343-6대구광역시 북구 칠곡중앙대로 416, 지하1층 (읍내동)41438(주)부촌푸드20170330041525I2018-08-31 23:59:59.0즉석판매제조가공업339717.871628271412.222623즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
2629926300즉석판매제조가공업07_22_19_P34800003480000-107-2019-0007420190724<NA>3폐업2폐업20220629<NA><NA><NA><NA>33.0<NA>대구광역시 달성군 옥포읍 교항리 2934 109호대구광역시 달성군 옥포읍 돌미상업로 6, 1층 109호42974또보제이20220629105015U2022-07-01 02:40:00.0즉석판매제조가공업330350.0254470.0즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
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