Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells144263
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric13
Categorical17
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_10_P_식품자동판매기업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086098&dataSetDetailId=DDI_0000086152&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (59.2%)Imbalance
위생업태명 is highly imbalanced (99.6%)Imbalance
남성종사자수 is highly imbalanced (97.1%)Imbalance
여성종사자수 is highly imbalanced (98.0%)Imbalance
급수시설구분명 is highly imbalanced (72.5%)Imbalance
본사종업원수 is highly imbalanced (52.4%)Imbalance
공장생산직종업원수 is highly imbalanced (53.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1459 (14.6%) 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 2245 (22.4%) missing valuesMissing
소재지면적 has 8084 (80.8%) missing valuesMissing
도로명전체주소 has 6570 (65.7%) missing valuesMissing
도로명우편번호 has 6631 (66.3%) missing valuesMissing
좌표정보(X) has 653 (6.5%) missing valuesMissing
좌표정보(Y) has 653 (6.5%) missing valuesMissing
영업장주변구분명 has 9999 (> 99.9%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
보증액 has 8951 (89.5%) missing valuesMissing
월세액 has 8952 (89.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
월세액 is highly skewed (γ1 = 30.90498791)Skewed
시설총규모 is highly skewed (γ1 = 96.47729886)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
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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 227 (2.3%) zerosZeros
보증액 has 1041 (10.4%) zerosZeros
월세액 has 1041 (10.4%) zerosZeros
시설총규모 has 9882 (98.8%) zerosZeros

Reproduction

Analysis started2024-04-20 21:28:17.793284
Analysis finished2024-04-20 21:28:20.867700
Duration3.07 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%
Mean5827.8451
Minimum1
Maximum11656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:21.001747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile574.9
Q12912.75
median5839.5
Q38731.25
95-th percentile11073.05
Maximum11656
Range11655
Interquartile range (IQR)5818.5

Descriptive statistics

Standard deviation3369.2213
Coefficient of variation (CV)0.57812472
Kurtosis-1.2010722
Mean5827.8451
Median Absolute Deviation (MAD)2909
Skewness-0.00352438
Sum58278451
Variance11351652
MonotonicityNot monotonic
2024-04-21T06:28:21.392656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4963 1
 
< 0.1%
1448 1
 
< 0.1%
7089 1
 
< 0.1%
6886 1
 
< 0.1%
3190 1
 
< 0.1%
2268 1
 
< 0.1%
48 1
 
< 0.1%
4358 1
 
< 0.1%
2642 1
 
< 0.1%
4890 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
11656 1
< 0.1%
11655 1
< 0.1%
11654 1
< 0.1%
11653 1
< 0.1%
11652 1
< 0.1%
11651 1
< 0.1%
11650 1
< 0.1%
11649 1
< 0.1%
11648 1
< 0.1%
11647 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

Length

2024-04-21T06:28:21.790591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:22.059919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_10_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_10_P
2nd row07_22_10_P
3rd row07_22_10_P
4th row07_22_10_P
5th row07_22_10_P

Common Values

ValueCountFrequency (%)
07_22_10_P 10000
100.0%

Length

2024-04-21T06:28:22.346117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:22.608214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_10_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446180
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:23.019812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21127.997
Coefficient of variation (CV)0.0061308453
Kurtosis-1.169039
Mean3446180
Median Absolute Deviation (MAD)20000
Skewness-0.24522486
Sum3.44618 × 1010
Variance4.4639224 × 108
MonotonicityNot monotonic
2024-04-21T06:28:23.386642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2048
20.5%
3450000 1701
17.0%
3460000 1483
14.8%
3420000 1287
12.9%
3430000 1087
10.9%
3440000 967
9.7%
3410000 954
9.5%
3480000 473
 
4.7%
ValueCountFrequency (%)
3410000 954
9.5%
3420000 1287
12.9%
3430000 1087
10.9%
3440000 967
9.7%
3450000 1701
17.0%
3460000 1483
14.8%
3470000 2048
20.5%
3480000 473
 
4.7%
ValueCountFrequency (%)
3480000 473
 
4.7%
3470000 2048
20.5%
3460000 1483
14.8%
3450000 1701
17.0%
3440000 967
9.7%
3430000 1087
10.9%
3420000 1287
12.9%
3410000 954
9.5%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T06:28:24.203182image/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 row3440000-112-2020-00001
2nd row3460000-112-2003-00083
3rd row3470000-112-2003-00004
4th row3450000-112-2019-00006
5th row3460000-112-2004-00037
ValueCountFrequency (%)
3440000-112-2020-00001 1
 
< 0.1%
3440000-112-1995-00041 1
 
< 0.1%
3450000-112-1999-00064 1
 
< 0.1%
3420000-112-2005-00041 1
 
< 0.1%
3460000-112-2001-00672 1
 
< 0.1%
3450000-112-2007-00002 1
 
< 0.1%
3430000-112-2001-00292 1
 
< 0.1%
3420000-112-2001-00029 1
 
< 0.1%
3410000-112-2000-00010 1
 
< 0.1%
3420000-112-2004-00031 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T06:28:25.328431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86326
39.2%
1 30650
 
13.9%
- 30000
 
13.6%
2 23969
 
10.9%
3 14429
 
6.6%
4 14071
 
6.4%
9 4785
 
2.2%
5 4784
 
2.2%
7 4356
 
2.0%
6 3957
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86326
45.4%
1 30650
 
16.1%
2 23969
 
12.6%
3 14429
 
7.6%
4 14071
 
7.4%
9 4785
 
2.5%
5 4784
 
2.5%
7 4356
 
2.3%
6 3957
 
2.1%
8 2673
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86326
39.2%
1 30650
 
13.9%
- 30000
 
13.6%
2 23969
 
10.9%
3 14429
 
6.6%
4 14071
 
6.4%
9 4785
 
2.2%
5 4784
 
2.2%
7 4356
 
2.0%
6 3957
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86326
39.2%
1 30650
 
13.9%
- 30000
 
13.6%
2 23969
 
10.9%
3 14429
 
6.6%
4 14071
 
6.4%
9 4785
 
2.2%
5 4784
 
2.2%
7 4356
 
2.0%
6 3957
 
1.8%

인허가일자
Real number (ℝ)

Distinct3394
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20039071
Minimum19841124
Maximum20200929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:25.745880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19841124
5-th percentile19960419
Q120010424
median20020708
Q320051123
95-th percentile20170927
Maximum20200929
Range359805
Interquartile range (IQR)40699

Descriptive statistics

Standard deviation57452.763
Coefficient of variation (CV)0.0028670373
Kurtosis1.0676959
Mean20039071
Median Absolute Deviation (MAD)19988
Skewness0.96719465
Sum2.0039071 × 1011
Variance3.30082 × 109
MonotonicityNot monotonic
2024-04-21T06:28:26.206819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 139
 
1.4%
20010302 50
 
0.5%
20000904 49
 
0.5%
20010303 43
 
0.4%
20010615 42
 
0.4%
20010706 40
 
0.4%
20010709 40
 
0.4%
20010213 39
 
0.4%
20010628 36
 
0.4%
20010705 35
 
0.4%
Other values (3384) 9487
94.9%
ValueCountFrequency (%)
19841124 1
< 0.1%
19841219 1
< 0.1%
19850116 1
< 0.1%
19850128 1
< 0.1%
19850328 1
< 0.1%
19880718 1
< 0.1%
19881201 1
< 0.1%
19881202 1
< 0.1%
19881228 1
< 0.1%
19890803 1
< 0.1%
ValueCountFrequency (%)
20200929 1
< 0.1%
20200928 1
< 0.1%
20200924 1
< 0.1%
20200922 1
< 0.1%
20200921 2
< 0.1%
20200918 1
< 0.1%
20200917 1
< 0.1%
20200916 1
< 0.1%
20200907 1
< 0.1%
20200903 1
< 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
8541 
1
1459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8541
85.4%
1 1459
 
14.6%

Length

2024-04-21T06:28:26.630148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:26.934359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8541
85.4%
1 1459
 
14.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8541 
영업/정상
1459 

Length

Max length5
Median length2
Mean length2.4377
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8541
85.4%
영업/정상 1459
 
14.6%

Length

2024-04-21T06:28:27.275750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:27.584334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8541
85.4%
영업/정상 1459
 
14.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8541 
1
1459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8541
85.4%
1 1459
 
14.6%

Length

2024-04-21T06:28:27.901830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:28.202963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8541
85.4%
1 1459
 
14.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8541 
영업
1459 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8541
85.4%
영업 1459
 
14.6%

Length

2024-04-21T06:28:28.518659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:28.817674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8541
85.4%
영업 1459
 
14.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct3234
Distinct (%)37.9%
Missing1459
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean20085087
Minimum19970709
Maximum20200925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:29.156096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970709
5-th percentile20030218
Q120050310
median20071002
Q320111206
95-th percentile20181022
Maximum20200925
Range230216
Interquartile range (IQR)60896

Descriptive statistics

Standard deviation47077.127
Coefficient of variation (CV)0.0023438846
Kurtosis-0.35390157
Mean20085087
Median Absolute Deviation (MAD)30001
Skewness0.75993534
Sum1.7154673 × 1011
Variance2.2162559 × 109
MonotonicityNot monotonic
2024-04-21T06:28:29.595417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 68
 
0.7%
20091209 44
 
0.4%
20090406 44
 
0.4%
20051229 36
 
0.4%
20091216 34
 
0.3%
20050408 30
 
0.3%
20040723 26
 
0.3%
20191227 26
 
0.3%
20050310 26
 
0.3%
20050407 25
 
0.2%
Other values (3224) 8182
81.8%
(Missing) 1459
 
14.6%
ValueCountFrequency (%)
19970709 1
< 0.1%
19971007 1
< 0.1%
19980411 1
< 0.1%
19981021 1
< 0.1%
19990629 1
< 0.1%
19990712 1
< 0.1%
19991029 1
< 0.1%
19991102 1
< 0.1%
20000104 1
< 0.1%
20000122 1
< 0.1%
ValueCountFrequency (%)
20200925 1
 
< 0.1%
20200924 1
 
< 0.1%
20200917 1
 
< 0.1%
20200915 1
 
< 0.1%
20200909 1
 
< 0.1%
20200904 1
 
< 0.1%
20200901 1
 
< 0.1%
20200827 4
< 0.1%
20200826 1
 
< 0.1%
20200825 1
 
< 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 

Distinct7064
Distinct (%)91.1%
Missing2245
Missing (%)22.4%
Memory size156.2 KiB
2024-04-21T06:28:30.828189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.308188
Min length1

Characters and Unicode

Total characters79940
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

Unique6775 ?
Unique (%)87.4%

Sample

1st row7528076
2nd row053 6362347
3rd row053 2573051
4th row053 588 3536
5th row6221130
ValueCountFrequency (%)
053 5804
39.4%
3829661 82
 
0.6%
943 45
 
0.3%
9661 40
 
0.3%
9439661 34
 
0.2%
941 30
 
0.2%
7439661 27
 
0.2%
0019 21
 
0.1%
321 18
 
0.1%
6233547 18
 
0.1%
Other values (7191) 8614
58.5%
2024-04-21T06:28:32.454326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13604
17.0%
3 11771
14.7%
0 10364
13.0%
6998
8.8%
6 6707
8.4%
2 6167
7.7%
7 5265
 
6.6%
4 5093
 
6.4%
1 5091
 
6.4%
9 4556
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72942
91.2%
Space Separator 6998
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13604
18.7%
3 11771
16.1%
0 10364
14.2%
6 6707
9.2%
2 6167
8.5%
7 5265
 
7.2%
4 5093
 
7.0%
1 5091
 
7.0%
9 4556
 
6.2%
8 4324
 
5.9%
Space Separator
ValueCountFrequency (%)
6998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13604
17.0%
3 11771
14.7%
0 10364
13.0%
6998
8.8%
6 6707
8.4%
2 6167
7.7%
7 5265
 
6.6%
4 5093
 
6.4%
1 5091
 
6.4%
9 4556
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13604
17.0%
3 11771
14.7%
0 10364
13.0%
6998
8.8%
6 6707
8.4%
2 6167
7.7%
7 5265
 
6.6%
4 5093
 
6.4%
1 5091
 
6.4%
9 4556
 
5.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)2.4%
Missing8084
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean2.4630115
Minimum0
Maximum496
Zeros227
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:32.868301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.3
Maximum496
Range496
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.408237
Coefficient of variation (CV)7.0678666
Kurtosis456.56846
Mean2.4630115
Median Absolute Deviation (MAD)0
Skewness19.710452
Sum4719.13
Variance303.04671
MonotonicityNot monotonic
2024-04-21T06:28:33.302490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1.0 1292
 
12.9%
0.0 227
 
2.3%
3.3 136
 
1.4%
2.0 71
 
0.7%
3.0 47
 
0.5%
1.5 47
 
0.5%
1.44 14
 
0.1%
6.6 8
 
0.1%
4.0 8
 
0.1%
1.2 7
 
0.1%
Other values (36) 59
 
0.6%
(Missing) 8084
80.8%
ValueCountFrequency (%)
0.0 227
 
2.3%
0.25 1
 
< 0.1%
0.3 2
 
< 0.1%
0.4 1
 
< 0.1%
0.5 4
 
< 0.1%
1.0 1292
12.9%
1.1 3
 
< 0.1%
1.2 7
 
0.1%
1.3 3
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
496.0 1
< 0.1%
320.1 1
< 0.1%
303.0 1
< 0.1%
177.59 1
< 0.1%
165.3 1
< 0.1%
163.66 1
< 0.1%
117.39 1
< 0.1%
116.44 1
< 0.1%
100.0 2
< 0.1%
88.63 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct680
Distinct (%)6.8%
Missing52
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean704207.98
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:33.716389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700440
Q1702701
median703850
Q3705813
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3112

Descriptive statistics

Standard deviation2503.5356
Coefficient of variation (CV)0.0035551082
Kurtosis1.5266767
Mean704207.98
Median Absolute Deviation (MAD)1952
Skewness0.924172
Sum7.005461 × 109
Variance6267690.3
MonotonicityNot monotonic
2024-04-21T06:28:34.158612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 164
 
1.6%
706170 93
 
0.9%
704060 92
 
0.9%
705802 81
 
0.8%
700412 77
 
0.8%
702845 72
 
0.7%
704919 71
 
0.7%
702040 62
 
0.6%
704834 60
 
0.6%
706824 54
 
0.5%
Other values (670) 9122
91.2%
ValueCountFrequency (%)
700010 20
0.2%
700020 7
 
0.1%
700030 3
 
< 0.1%
700040 5
 
0.1%
700050 5
 
0.1%
700060 34
0.3%
700070 44
0.4%
700081 1
 
< 0.1%
700082 8
 
0.1%
700091 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 10
 
0.1%
711874 20
0.2%
711873 20
0.2%
711872 23
0.2%
711864 27
0.3%
711863 6
 
0.1%
711862 6
 
0.1%
711861 11
0.1%
711860 1
 
< 0.1%

소재지전체주소
Text

Distinct8818
Distinct (%)88.3%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-21T06:28:35.537419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length24.059948
Min length16

Characters and Unicode

Total characters240407
Distinct characters453
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8047 ?
Unique (%)80.5%

Sample

1st row대구광역시 남구 대명동 317-1번지 영남대학교(병원), 영남이공대학교
2nd row대구광역시 수성구 수성동3가 10번지
3rd row대구광역시 달서구 상인동 1557번지 평광상가 0동 111호
4th row대구광역시 북구 산격동 1310-37번지
5th row대구광역시 수성구 신매동 567-10번지
ValueCountFrequency (%)
대구광역시 9992
22.8%
달서구 2048
 
4.7%
북구 1698
 
3.9%
수성구 1480
 
3.4%
동구 1288
 
2.9%
서구 1085
 
2.5%
남구 967
 
2.2%
중구 954
 
2.2%
대명동 712
 
1.6%
달성군 472
 
1.1%
Other values (8919) 23106
52.8%
2024-04-21T06:28:37.428269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43540
18.1%
구 19798
 
8.2%
동 11457
 
4.8%
대 11371
 
4.7%
1 11345
 
4.7%
지 10841
 
4.5%
시 10117
 
4.2%
역 10034
 
4.2%
광 10009
 
4.2%
번 9909
 
4.1%
Other values (443) 91986
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136950
57.0%
Decimal Number 50410
 
21.0%
Space Separator 43540
 
18.1%
Dash Punctuation 7978
 
3.3%
Open Punctuation 539
 
0.2%
Close Punctuation 528
 
0.2%
Other Punctuation 306
 
0.1%
Uppercase Letter 133
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19798
14.5%
동 11457
 
8.4%
대 11371
 
8.3%
지 10841
 
7.9%
시 10117
 
7.4%
역 10034
 
7.3%
광 10009
 
7.3%
번 9909
 
7.2%
서 3426
 
2.5%
성 2805
 
2.0%
Other values (398) 37183
27.2%
Uppercase Letter
ValueCountFrequency (%)
A 38
28.6%
T 15
 
11.3%
P 15
 
11.3%
L 15
 
11.3%
B 15
 
11.3%
G 14
 
10.5%
C 7
 
5.3%
M 2
 
1.5%
H 2
 
1.5%
E 2
 
1.5%
Other values (7) 8
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 11345
22.5%
0 7243
14.4%
2 6141
12.2%
3 5000
9.9%
4 4012
 
8.0%
5 3808
 
7.6%
6 3456
 
6.9%
7 3333
 
6.6%
8 3069
 
6.1%
9 3003
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
a 2
20.0%
b 1
 
10.0%
m 1
 
10.0%
c 1
 
10.0%
p 1
 
10.0%
t 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 265
86.6%
. 30
 
9.8%
/ 9
 
2.9%
@ 1
 
0.3%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7978
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 528
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136944
57.0%
Common 103314
43.0%
Latin 143
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19798
14.5%
동 11457
 
8.4%
대 11371
 
8.3%
지 10841
 
7.9%
시 10117
 
7.4%
역 10034
 
7.3%
광 10009
 
7.3%
번 9909
 
7.2%
서 3426
 
2.5%
성 2805
 
2.0%
Other values (397) 37177
27.1%
Latin
ValueCountFrequency (%)
A 38
26.6%
T 15
 
10.5%
P 15
 
10.5%
L 15
 
10.5%
B 15
 
10.5%
G 14
 
9.8%
C 7
 
4.9%
e 3
 
2.1%
M 2
 
1.4%
H 2
 
1.4%
Other values (14) 17
11.9%
Common
ValueCountFrequency (%)
43540
42.1%
1 11345
 
11.0%
- 7978
 
7.7%
0 7243
 
7.0%
2 6141
 
5.9%
3 5000
 
4.8%
4 4012
 
3.9%
5 3808
 
3.7%
6 3456
 
3.3%
7 3333
 
3.2%
Other values (11) 7458
 
7.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136944
57.0%
ASCII 103457
43.0%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43540
42.1%
1 11345
 
11.0%
- 7978
 
7.7%
0 7243
 
7.0%
2 6141
 
5.9%
3 5000
 
4.8%
4 4012
 
3.9%
5 3808
 
3.7%
6 3456
 
3.3%
7 3333
 
3.2%
Other values (35) 7601
 
7.3%
Hangul
ValueCountFrequency (%)
구 19798
14.5%
동 11457
 
8.4%
대 11371
 
8.3%
지 10841
 
7.9%
시 10117
 
7.4%
역 10034
 
7.3%
광 10009
 
7.3%
번 9909
 
7.2%
서 3426
 
2.5%
성 2805
 
2.0%
Other values (397) 37177
27.1%
CJK
ValueCountFrequency (%)
內 6
100.0%

도로명전체주소
Text

MISSING 

Distinct3166
Distinct (%)92.3%
Missing6570
Missing (%)65.7%
Memory size156.2 KiB
2024-04-21T06:28:39.015690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length27.563557
Min length19

Characters and Unicode

Total characters94543
Distinct characters448
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

Unique3023 ?
Unique (%)88.1%

Sample

1st row대구광역시 남구 현충로 170, 영남대학교(병원), 영남이공대학교 (대명동)
2nd row대구광역시 북구 산격로14길 37, 1층 (산격동)
3rd row대구광역시 중구 달구벌대로447길 66, 1동 1층 (삼덕동3가)
4th row대구광역시 달성군 옥포면 비슬로 2040
5th row대구광역시 북구 연암로42길 19 (산격동)
ValueCountFrequency (%)
대구광역시 3430
 
17.9%
북구 711
 
3.7%
달서구 699
 
3.6%
1층 591
 
3.1%
동구 463
 
2.4%
수성구 412
 
2.1%
서구 318
 
1.7%
남구 311
 
1.6%
중구 288
 
1.5%
대명동 243
 
1.3%
Other values (3171) 11736
61.1%
2024-04-21T06:28:41.041431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15773
 
16.7%
구 7144
 
7.6%
대 4593
 
4.9%
동 4505
 
4.8%
1 3736
 
4.0%
시 3519
 
3.7%
역 3478
 
3.7%
광 3438
 
3.6%
로 3363
 
3.6%
( 3351
 
3.5%
Other values (438) 41643
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56182
59.4%
Space Separator 15773
 
16.7%
Decimal Number 13757
 
14.6%
Open Punctuation 3351
 
3.5%
Close Punctuation 3351
 
3.5%
Other Punctuation 1675
 
1.8%
Dash Punctuation 345
 
0.4%
Uppercase Letter 93
 
0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7144
 
12.7%
대 4593
 
8.2%
동 4505
 
8.0%
시 3519
 
6.3%
역 3478
 
6.2%
광 3438
 
6.1%
로 3363
 
6.0%
길 1445
 
2.6%
서 1365
 
2.4%
달 1254
 
2.2%
Other values (395) 22078
39.3%
Uppercase Letter
ValueCountFrequency (%)
A 23
24.7%
B 20
21.5%
G 9
 
9.7%
C 7
 
7.5%
L 6
 
6.5%
T 6
 
6.5%
S 5
 
5.4%
P 4
 
4.3%
H 2
 
2.2%
M 2
 
2.2%
Other values (7) 9
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 3736
27.2%
2 1939
14.1%
3 1467
 
10.7%
0 1171
 
8.5%
5 1146
 
8.3%
4 1118
 
8.1%
6 901
 
6.5%
7 831
 
6.0%
9 726
 
5.3%
8 722
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
c 1
12.5%
m 1
12.5%
b 1
12.5%
a 1
12.5%
p 1
12.5%
t 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1668
99.6%
. 5
 
0.3%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
15773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56182
59.4%
Common 38260
40.5%
Latin 101
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7144
 
12.7%
대 4593
 
8.2%
동 4505
 
8.0%
시 3519
 
6.3%
역 3478
 
6.2%
광 3438
 
6.1%
로 3363
 
6.0%
길 1445
 
2.6%
서 1365
 
2.4%
달 1254
 
2.2%
Other values (395) 22078
39.3%
Latin
ValueCountFrequency (%)
A 23
22.8%
B 20
19.8%
G 9
 
8.9%
C 7
 
6.9%
L 6
 
5.9%
T 6
 
5.9%
S 5
 
5.0%
P 4
 
4.0%
H 2
 
2.0%
M 2
 
2.0%
Other values (14) 17
16.8%
Common
ValueCountFrequency (%)
15773
41.2%
1 3736
 
9.8%
( 3351
 
8.8%
) 3351
 
8.8%
2 1939
 
5.1%
, 1668
 
4.4%
3 1467
 
3.8%
0 1171
 
3.1%
5 1146
 
3.0%
4 1118
 
2.9%
Other values (9) 3540
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56180
59.4%
ASCII 38361
40.6%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15773
41.1%
1 3736
 
9.7%
( 3351
 
8.7%
) 3351
 
8.7%
2 1939
 
5.1%
, 1668
 
4.3%
3 1467
 
3.8%
0 1171
 
3.1%
5 1146
 
3.0%
4 1118
 
2.9%
Other values (33) 3641
 
9.5%
Hangul
ValueCountFrequency (%)
구 7144
 
12.7%
대 4593
 
8.2%
동 4505
 
8.0%
시 3519
 
6.3%
역 3478
 
6.2%
광 3438
 
6.1%
로 3363
 
6.0%
길 1445
 
2.6%
서 1365
 
2.4%
달 1254
 
2.2%
Other values (393) 22076
39.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅊ 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1131
Distinct (%)33.6%
Missing6631
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean42026.83
Minimum41001
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:41.471924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41121
Q141518
median41953
Q342614
95-th percentile42938
Maximum43023
Range2022
Interquartile range (IQR)1096

Descriptive statistics

Standard deviation584.242
Coefficient of variation (CV)0.013901643
Kurtosis-1.2588328
Mean42026.83
Median Absolute Deviation (MAD)500
Skewness0.017209582
Sum1.4158839 × 108
Variance341338.71
MonotonicityNot monotonic
2024-04-21T06:28:41.949328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 32
 
0.3%
41581 20
 
0.2%
41845 18
 
0.2%
42612 17
 
0.2%
41423 16
 
0.2%
41453 16
 
0.2%
41438 15
 
0.1%
41586 15
 
0.1%
42620 14
 
0.1%
41953 14
 
0.1%
Other values (1121) 3192
31.9%
(Missing) 6631
66.3%
ValueCountFrequency (%)
41001 2
 
< 0.1%
41002 4
 
< 0.1%
41005 2
 
< 0.1%
41007 13
0.1%
41008 5
 
0.1%
41017 1
 
< 0.1%
41021 2
 
< 0.1%
41022 1
 
< 0.1%
41024 1
 
< 0.1%
41026 2
 
< 0.1%
ValueCountFrequency (%)
43023 2
< 0.1%
43019 3
< 0.1%
43018 4
< 0.1%
43017 3
< 0.1%
43014 4
< 0.1%
43013 1
 
< 0.1%
43011 1
 
< 0.1%
43009 3
< 0.1%
43008 3
< 0.1%
43005 1
 
< 0.1%

사업장명
Text

Distinct8655
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T06:28:42.992965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.5517
Min length1

Characters and Unicode

Total characters65517
Distinct characters867
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7971 ?
Unique (%)79.7%

Sample

1st row(주)미래유통영남대의료원
2nd row닷넷PC방
3rd row상인이용소
4th row씨유(CU)산격한아름점
5th row등용문학원
ValueCountFrequency (%)
자판기 228
 
2.1%
세븐일레븐 85
 
0.8%
주)휘닉스벤딩서비스 58
 
0.5%
신우유통 39
 
0.4%
씨유 39
 
0.4%
이마트24 37
 
0.3%
gs25 33
 
0.3%
pc방 30
 
0.3%
영남대의료원 24
 
0.2%
지에스(gs)25 22
 
0.2%
Other values (8890) 10526
94.6%
2024-04-21T06:28:44.671003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1947
 
3.0%
점 1592
 
2.4%
자 1567
 
2.4%
기 1556
 
2.4%
구 1445
 
2.2%
판 1373
 
2.1%
1135
 
1.7%
동 994
 
1.5%
식 928
 
1.4%
마 899
 
1.4%
Other values (857) 52081
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60025
91.6%
Uppercase Letter 1393
 
2.1%
Decimal Number 1374
 
2.1%
Space Separator 1135
 
1.7%
Close Punctuation 669
 
1.0%
Open Punctuation 667
 
1.0%
Lowercase Letter 138
 
0.2%
Other Punctuation 91
 
0.1%
Dash Punctuation 24
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1947
 
3.2%
점 1592
 
2.7%
자 1567
 
2.6%
기 1556
 
2.6%
구 1445
 
2.4%
판 1373
 
2.3%
동 994
 
1.7%
식 928
 
1.5%
마 899
 
1.5%
성 864
 
1.4%
Other values (792) 46860
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 363
26.1%
P 206
14.8%
G 188
13.5%
S 178
12.8%
U 113
 
8.1%
K 51
 
3.7%
L 36
 
2.6%
A 30
 
2.2%
T 28
 
2.0%
O 24
 
1.7%
Other values (16) 176
12.6%
Lowercase Letter
ValueCountFrequency (%)
c 32
23.2%
p 23
16.7%
e 21
15.2%
a 10
 
7.2%
o 10
 
7.2%
i 8
 
5.8%
n 5
 
3.6%
f 4
 
2.9%
s 4
 
2.9%
r 4
 
2.9%
Other values (9) 17
12.3%
Decimal Number
ValueCountFrequency (%)
2 506
36.8%
5 224
16.3%
4 222
16.2%
1 164
 
11.9%
3 84
 
6.1%
0 65
 
4.7%
6 35
 
2.5%
7 34
 
2.5%
8 28
 
2.0%
9 12
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 66
72.5%
, 16
 
17.6%
& 5
 
5.5%
' 2
 
2.2%
/ 2
 
2.2%
Space Separator
ValueCountFrequency (%)
1135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 669
100.0%
Open Punctuation
ValueCountFrequency (%)
( 667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60019
91.6%
Common 3960
 
6.0%
Latin 1532
 
2.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1947
 
3.2%
점 1592
 
2.7%
자 1567
 
2.6%
기 1556
 
2.6%
구 1445
 
2.4%
판 1373
 
2.3%
동 994
 
1.7%
식 928
 
1.5%
마 899
 
1.5%
성 864
 
1.4%
Other values (790) 46854
78.1%
Latin
ValueCountFrequency (%)
C 363
23.7%
P 206
13.4%
G 188
12.3%
S 178
11.6%
U 113
 
7.4%
K 51
 
3.3%
L 36
 
2.3%
c 32
 
2.1%
A 30
 
2.0%
T 28
 
1.8%
Other values (36) 307
20.0%
Common
ValueCountFrequency (%)
1135
28.7%
) 669
16.9%
( 667
16.8%
2 506
12.8%
5 224
 
5.7%
4 222
 
5.6%
1 164
 
4.1%
3 84
 
2.1%
. 66
 
1.7%
0 65
 
1.6%
Other values (9) 158
 
4.0%
Han
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60017
91.6%
ASCII 5491
 
8.4%
CJK 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1947
 
3.2%
점 1592
 
2.7%
자 1567
 
2.6%
기 1556
 
2.6%
구 1445
 
2.4%
판 1373
 
2.3%
동 994
 
1.7%
식 928
 
1.5%
마 899
 
1.5%
성 864
 
1.4%
Other values (788) 46852
78.1%
ASCII
ValueCountFrequency (%)
1135
20.7%
) 669
12.2%
( 667
12.1%
2 506
9.2%
C 363
 
6.6%
5 224
 
4.1%
4 222
 
4.0%
P 206
 
3.8%
G 188
 
3.4%
S 178
 
3.2%
Other values (54) 1133
20.6%
CJK
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅌ 1
50.0%

최종수정시점
Real number (ℝ)

Distinct5270
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0078356 × 1013
Minimum2.0020116 × 1013
Maximum2.0200929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:45.082453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021101 × 1013
median2.0051213 × 1013
Q32.0120626 × 1013
95-th percentile2.019091 × 1013
Maximum2.0200929 × 1013
Range1.8081317 × 1011
Interquartile range (IQR)9.9525163 × 1010

Descriptive statistics

Standard deviation5.9527798 × 1010
Coefficient of variation (CV)0.0029647746
Kurtosis-0.84956596
Mean2.0078356 × 1013
Median Absolute Deviation (MAD)3.0691 × 1010
Skewness0.74347877
Sum2.0078356 × 1017
Variance3.5435588 × 1021
MonotonicityNot monotonic
2024-04-21T06:28:45.544320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 155
 
1.6%
20021107000000 100
 
1.0%
20020117000000 87
 
0.9%
20020122000000 85
 
0.9%
20020121000000 80
 
0.8%
20020614000000 73
 
0.7%
20021030000000 71
 
0.7%
20021028000000 65
 
0.7%
20020617000000 65
 
0.7%
20020522000000 63
 
0.6%
Other values (5260) 9156
91.6%
ValueCountFrequency (%)
20020116000000 13
 
0.1%
20020117000000 87
0.9%
20020118000000 34
 
0.3%
20020121000000 80
0.8%
20020122000000 85
0.9%
20020123000000 44
0.4%
20020125000000 1
 
< 0.1%
20020128000000 3
 
< 0.1%
20020129000000 10
 
0.1%
20020204000000 16
 
0.2%
ValueCountFrequency (%)
20200929165445 1
< 0.1%
20200929092111 1
< 0.1%
20200928142306 1
< 0.1%
20200925141238 1
< 0.1%
20200924173450 1
< 0.1%
20200924140808 1
< 0.1%
20200924140240 1
< 0.1%
20200924110019 1
< 0.1%
20200922111741 1
< 0.1%
20200921102140 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9184 
U
 
816

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 9184
91.8%
U 816
 
8.2%

Length

2024-04-21T06:28:45.885224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:46.047791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9184
91.8%
u 816
 
8.2%

데이터갱신일자
Date

Distinct453
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-10-01 02:40:00
2024-04-21T06:28:46.231295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T06:28:46.588082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

Length

2024-04-21T06:28:47.000044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:47.286968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7455
Distinct (%)79.8%
Missing653
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean343002.3
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:47.592980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335179.88
Q1339875.22
median342904.64
Q3345993.32
95-th percentile352858.81
Maximum358060.65
Range32229.256
Interquartile range (IQR)6118.1082

Descriptive statistics

Standard deviation4834.6465
Coefficient of variation (CV)0.014095085
Kurtosis0.58856595
Mean343002.3
Median Absolute Deviation (MAD)3047.6607
Skewness0.067376688
Sum3.2060425 × 109
Variance23373807
MonotonicityNot monotonic
2024-04-21T06:28:48.030953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 55
 
0.5%
345141.357576 49
 
0.5%
344867.643963 37
 
0.4%
345549.11017 29
 
0.3%
339243.983122 18
 
0.2%
342935.432334 17
 
0.2%
344047.164924 17
 
0.2%
345032.238221 17
 
0.2%
343461.958736 15
 
0.1%
339096.139718 15
 
0.1%
Other values (7445) 9078
90.8%
(Missing) 653
 
6.5%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326269.666487 1
< 0.1%
326417.272694 1
< 0.1%
326534.608033 1
< 0.1%
326635.578062 1
< 0.1%
326660.851514 1
< 0.1%
326703.14585 1
< 0.1%
326755.194077 1
< 0.1%
326766.322228 1
< 0.1%
ValueCountFrequency (%)
358060.647419 1
< 0.1%
356698.367083 1
< 0.1%
356668.763448 1
< 0.1%
356589.560791 1
< 0.1%
356533.072677 1
< 0.1%
356530.179947 1
< 0.1%
356521.273092 1
< 0.1%
356508.020702 1
< 0.1%
356484.612255 1
< 0.1%
356431.884326 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7456
Distinct (%)79.8%
Missing653
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean263559.8
Minimum238029.01
Maximum278909.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:48.458728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257761.82
Q1261453.54
median263593.64
Q3265752.36
95-th percentile270815.01
Maximum278909.06
Range40880.052
Interquartile range (IQR)4298.8226

Descriptive statistics

Standard deviation4231.4871
Coefficient of variation (CV)0.016055131
Kurtosis4.7271651
Mean263559.8
Median Absolute Deviation (MAD)2149.7731
Skewness-0.82793398
Sum2.4634935 × 109
Variance17905483
MonotonicityNot monotonic
2024-04-21T06:28:48.922534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 55
 
0.5%
267096.362462 49
 
0.5%
264091.210417 37
 
0.4%
268620.845678 29
 
0.3%
268026.454531 18
 
0.2%
264310.975711 17
 
0.2%
265132.987974 17
 
0.2%
262949.871621 17
 
0.2%
262466.933945 15
 
0.1%
268402.372721 14
 
0.1%
Other values (7446) 9079
90.8%
(Missing) 653
 
6.5%
ValueCountFrequency (%)
238029.007127 1
< 0.1%
239380.163891 1
< 0.1%
240209.547189 1
< 0.1%
240405.052319 1
< 0.1%
240460.074049 1
< 0.1%
240481.502376 1
< 0.1%
240550.011807 1
< 0.1%
240757.761547 1
< 0.1%
240930.669713 1
< 0.1%
241113.414701 1
< 0.1%
ValueCountFrequency (%)
278909.058905 1
 
< 0.1%
278336.223852 3
< 0.1%
278318.296599 1
 
< 0.1%
278149.556874 2
< 0.1%
278148.233339 1
 
< 0.1%
278117.387967 1
 
< 0.1%
278116.5272 1
 
< 0.1%
278080.761551 1
 
< 0.1%
278068.782101 2
< 0.1%
278048.41446 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
9997 
<NA>
 
3

Length

Max length9
Median length9
Mean length8.9985
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 9997
> 99.9%
<NA> 3
 
< 0.1%

Length

2024-04-21T06:28:49.355618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:49.654540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 9997
> 99.9%
na 3
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9970 
0
 
30

Length

Max length4
Median length4
Mean length3.991
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> 9970
99.7%
0 30
 
0.3%

Length

2024-04-21T06:28:49.996707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:50.306013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9970
99.7%
0 30
 
0.3%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9969 
0
 
30
1
 
1

Length

Max length4
Median length4
Mean length3.9907
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9969
99.7%
0 30
 
0.3%
1 1
 
< 0.1%

Length

2024-04-21T06:28:50.645195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:50.969399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9969
99.7%
0 30
 
0.3%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-21T06:28:51.393441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-04-21T06:28:52.249900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8135 
상수도전용
1847 
간이상수도
 
12
지하수전용
 
3
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length4
Mean length4.1905
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8135
81.3%
상수도전용 1847
 
18.5%
간이상수도 12
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-21T06:28:52.670091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:53.011445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8135
81.3%
상수도전용 1847
 
18.5%
간이상수도 12
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6508 
<NA>
3471 
1
 
20
500
 
1

Length

Max length4
Median length1
Mean length2.0415
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6508
65.1%
<NA> 3471
34.7%
1 20
 
0.2%
500 1
 
< 0.1%

Length

2024-04-21T06:28:53.410957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:53.740490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6508
65.1%
na 3471
34.7%
1 20
 
0.2%
500 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6523 
<NA>
3471 
1
 
6

Length

Max length4
Median length1
Mean length2.0413
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6523
65.2%
<NA> 3471
34.7%
1 6
 
0.1%

Length

2024-04-21T06:28:54.119448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:54.445899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6523
65.2%
na 3471
34.7%
1 6
 
0.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6368 
<NA>
3471 
1
 
156
2
 
5

Length

Max length4
Median length1
Mean length2.0413
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
0 6368
63.7%
<NA> 3471
34.7%
1 156
 
1.6%
2 5
 
0.1%

Length

2024-04-21T06:28:54.804754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:55.133533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6368
63.7%
na 3471
34.7%
1 156
 
1.6%
2 5
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6525 
<NA>
3471 
1
 
3
2
 
1

Length

Max length4
Median length1
Mean length2.0413
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6525
65.2%
<NA> 3471
34.7%
1 3
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-21T06:28:55.511142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:55.841232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6525
65.2%
na 3471
34.7%
1 3
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7558 
자가
1998 
임대
 
444

Length

Max length4
Median length4
Mean length3.5116
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7558
75.6%
자가 1998
 
20.0%
임대 444
 
4.4%

Length

2024-04-21T06:28:56.228900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:28:56.573256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7558
75.6%
자가 1998
 
20.0%
임대 444
 
4.4%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.7%
Missing8951
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean393713.06
Minimum0
Maximum1 × 108
Zeros1041
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:56.881561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation5681293.3
Coefficient of variation (CV)14.430035
Kurtosis253.07943
Mean393713.06
Median Absolute Deviation (MAD)0
Skewness15.717895
Sum4.13005 × 108
Variance3.2277094 × 1013
MonotonicityNot monotonic
2024-04-21T06:28:57.238966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1041
 
10.4%
80000000 2
 
< 0.1%
100000000 2
 
< 0.1%
15000000 1
 
< 0.1%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
30000000 1
 
< 0.1%
(Missing) 8951
89.5%
ValueCountFrequency (%)
0 1041
10.4%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 1
 
< 0.1%
80000000 2
 
< 0.1%
100000000 2
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
80000000 2
 
< 0.1%
30000000 1
 
< 0.1%
15000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000 1
 
< 0.1%
0 1041
10.4%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.7%
Missing8952
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean10305.577
Minimum0
Maximum8000000
Zeros1041
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:57.595942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8000000
Range8000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation251202.83
Coefficient of variation (CV)24.375426
Kurtosis980.46508
Mean10305.577
Median Absolute Deviation (MAD)0
Skewness30.904988
Sum10800245
Variance6.3102863 × 1010
MonotonicityNot monotonic
2024-04-21T06:28:58.014772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1041
 
10.4%
200000 2
 
< 0.1%
800000 1
 
< 0.1%
245 1
 
< 0.1%
500000 1
 
< 0.1%
8000000 1
 
< 0.1%
1100000 1
 
< 0.1%
(Missing) 8952
89.5%
ValueCountFrequency (%)
0 1041
10.4%
245 1
 
< 0.1%
200000 2
 
< 0.1%
500000 1
 
< 0.1%
800000 1
 
< 0.1%
1100000 1
 
< 0.1%
8000000 1
 
< 0.1%
ValueCountFrequency (%)
8000000 1
 
< 0.1%
1100000 1
 
< 0.1%
800000 1
 
< 0.1%
500000 1
 
< 0.1%
200000 2
 
< 0.1%
245 1
 
< 0.1%
0 1041
10.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size97.7 KiB
False
9997 
(Missing)
 
3
ValueCountFrequency (%)
False 9997
> 99.9%
(Missing) 3
 
< 0.1%
2024-04-21T06:28:58.349313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.034606382
Minimum0
Maximum163.66
Zeros9882
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T06:28:58.618413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum163.66
Range163.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6569549
Coefficient of variation (CV)47.880038
Kurtosis9516.9231
Mean0.034606382
Median Absolute Deviation (MAD)0
Skewness96.477299
Sum345.96
Variance2.7454995
MonotonicityNot monotonic
2024-04-21T06:28:58.968985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 9882
98.8%
1.0 91
 
0.9%
2.0 8
 
0.1%
3.0 4
 
< 0.1%
7.0 2
 
< 0.1%
4.0 2
 
< 0.1%
1.5 2
 
< 0.1%
15.0 1
 
< 0.1%
9.0 1
 
< 0.1%
3.3 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0.0 9882
98.8%
1.0 91
 
0.9%
1.5 2
 
< 0.1%
2.0 8
 
0.1%
3.0 4
 
< 0.1%
3.3 1
 
< 0.1%
4.0 2
 
< 0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
7.0 2
 
< 0.1%
ValueCountFrequency (%)
163.66 1
 
< 0.1%
15.0 1
 
< 0.1%
9.0 1
 
< 0.1%
7.0 2
 
< 0.1%
6.0 1
 
< 0.1%
5.0 1
 
< 0.1%
4.0 2
 
< 0.1%
3.3 1
 
< 0.1%
3.0 4
< 0.1%
2.0 8
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

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
49624963식품자동판매기업07_22_10_P34400003440000-112-2020-0000120200103<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>705703대구광역시 남구 대명동 317-1번지 영남대학교(병원), 영남이공대학교대구광역시 남구 현충로 170, 영남대학교(병원), 영남이공대학교 (대명동)42415(주)미래유통영남대의료원20200103150228I2020-01-05 00:23:25.0식품자동판매기영업343157.682044261957.795169식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
72517252식품자동판매기업07_22_10_P34600003460000-112-2003-0008320031028<NA>3폐업2폐업20060419<NA><NA><NA>7528076<NA>706833대구광역시 수성구 수성동3가 10번지<NA><NA>닷넷PC방20031028000000I2018-08-31 23:59:59.0식품자동판매기영업346250.44611263337.049154식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA>
1034210343식품자동판매기업07_22_10_P34700003470000-112-2003-0000420030117<NA>3폐업2폐업20030403<NA><NA><NA>053 6362347<NA>704816대구광역시 달서구 상인동 1557번지 평광상가 0동 111호<NA><NA>상인이용소20030117000000I2018-08-31 23:59:59.0식품자동판매기영업339702.707452257933.927916식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
69526953식품자동판매기업07_22_10_P34500003450000-112-2019-0000620190225<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>702842대구광역시 북구 산격동 1310-37번지대구광역시 북구 산격로14길 37, 1층 (산격동)41536씨유(CU)산격한아름점20190225105514I2019-02-27 02:21:34.0식품자동판매기영업345253.237236267382.169264식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
73137314식품자동판매기업07_22_10_P34600003460000-112-2004-0003720040420<NA>3폐업2폐업20120109<NA><NA><NA><NA>1.5706170대구광역시 수성구 신매동 567-10번지<NA><NA>등용문학원20091218172603I2018-08-31 23:59:59.0식품자동판매기영업354091.827937261394.857432식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
693694식품자동판매기업07_22_10_P34100003410000-112-2004-0006920040528<NA>3폐업2폐업20110822<NA><NA><NA>053 2573051<NA>700050대구광역시 중구 동일동 0008-0001번지<NA><NA>진정수퍼20040528000000I2018-08-31 23:59:59.0식품자동판매기영업343807.13963264464.789162식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
1007210073식품자동판매기업07_22_10_P34700003470000-112-2005-0020020050607<NA>3폐업2폐업20060425<NA><NA><NA>053 588 3536<NA>704922대구광역시 달서구 신당동 1790-10번지 2층<NA><NA>라이코스스테이션TICPC방20050718000000I2018-08-31 23:59:59.0식품자동판매기영업334874.087571262696.540768식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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