Overview

Dataset statistics

Number of variables50
Number of observations3164
Missing cells32814
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory433.0 B

Variable types

Numeric15
Categorical19
Text6
Unsupported7
DateTime1
Boolean2

Dataset

Description6270000_대구광역시_05_19_01_P_이용업_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091863&dataSetDetailId=DDI_0000091890&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
발한실여부 has constant value ""Constant
업태구분명 is highly imbalanced (91.0%)Imbalance
위생업태명 is highly imbalanced (91.0%)Imbalance
여성종사자수 is highly imbalanced (71.1%)Imbalance
남성종사자수 is highly imbalanced (59.5%)Imbalance
다중이용업소여부 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3164 (100.0%) missing valuesMissing
폐업일자 has 934 (29.5%) missing valuesMissing
휴업시작일자 has 3164 (100.0%) missing valuesMissing
휴업종료일자 has 3164 (100.0%) missing valuesMissing
재개업일자 has 3164 (100.0%) missing valuesMissing
소재지전화 has 958 (30.3%) missing valuesMissing
도로명전체주소 has 1411 (44.6%) missing valuesMissing
도로명우편번호 has 1435 (45.4%) missing valuesMissing
좌표정보(X) has 146 (4.6%) missing valuesMissing
좌표정보(Y) has 146 (4.6%) missing valuesMissing
건물지상층수 has 589 (18.6%) missing valuesMissing
건물지하층수 has 952 (30.1%) missing valuesMissing
사용시작지상층 has 820 (25.9%) missing valuesMissing
사용끝지상층 has 1054 (33.3%) missing valuesMissing
발한실여부 has 43 (1.4%) missing valuesMissing
의자수 has 349 (11.0%) missing valuesMissing
조건부허가신고사유 has 3164 (100.0%) missing valuesMissing
조건부허가시작일자 has 3164 (100.0%) missing valuesMissing
조건부허가종료일자 has 3164 (100.0%) missing valuesMissing
침대수 has 1796 (56.8%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 634 (20.0%) zerosZeros
건물지하층수 has 1188 (37.5%) zerosZeros
사용시작지상층 has 523 (16.5%) zerosZeros
사용끝지상층 has 296 (9.4%) zerosZeros
의자수 has 166 (5.2%) zerosZeros
침대수 has 1352 (42.7%) zerosZeros

Reproduction

Analysis started2024-04-21 12:16:16.475354
Analysis finished2024-04-21 12:16:18.396661
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1582.5
Minimum1
Maximum3164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:18.579763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile159.15
Q1791.75
median1582.5
Q32373.25
95-th percentile3005.85
Maximum3164
Range3163
Interquartile range (IQR)1581.5

Descriptive statistics

Standard deviation913.51245
Coefficient of variation (CV)0.57725905
Kurtosis-1.2
Mean1582.5
Median Absolute Deviation (MAD)791
Skewness0
Sum5007030
Variance834505
MonotonicityStrictly increasing
2024-04-21T21:16:19.016908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2104 1
 
< 0.1%
2106 1
 
< 0.1%
2107 1
 
< 0.1%
2108 1
 
< 0.1%
2109 1
 
< 0.1%
2110 1
 
< 0.1%
2111 1
 
< 0.1%
2112 1
 
< 0.1%
2113 1
 
< 0.1%
Other values (3154) 3154
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3164 1
< 0.1%
3163 1
< 0.1%
3162 1
< 0.1%
3161 1
< 0.1%
3160 1
< 0.1%
3159 1
< 0.1%
3158 1
< 0.1%
3157 1
< 0.1%
3156 1
< 0.1%
3155 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
이용업
3164 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용업 3164
100.0%

Length

2024-04-21T21:16:19.434820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:19.734171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 3164
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
05_19_01_P
3164 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05_19_01_P
2nd row05_19_01_P
3rd row05_19_01_P
4th row05_19_01_P
5th row05_19_01_P

Common Values

ValueCountFrequency (%)
05_19_01_P 3164
100.0%

Length

2024-04-21T21:16:20.055892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:20.356438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_19_01_p 3164
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445379.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:20.632136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21013.258
Coefficient of variation (CV)0.0060989681
Kurtosis-1.2560059
Mean3445379.3
Median Absolute Deviation (MAD)20000
Skewness-0.12946946
Sum1.090118 × 1010
Variance4.4155703 × 108
MonotonicityIncreasing
2024-04-21T21:16:20.999378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 621
19.6%
3450000 511
16.2%
3420000 509
16.1%
3460000 449
14.2%
3430000 411
13.0%
3440000 273
8.6%
3410000 243
 
7.7%
3480000 147
 
4.6%
ValueCountFrequency (%)
3410000 243
 
7.7%
3420000 509
16.1%
3430000 411
13.0%
3440000 273
8.6%
3450000 511
16.2%
3460000 449
14.2%
3470000 621
19.6%
3480000 147
 
4.6%
ValueCountFrequency (%)
3480000 147
 
4.6%
3470000 621
19.6%
3460000 449
14.2%
3450000 511
16.2%
3440000 273
8.6%
3430000 411
13.0%
3420000 509
16.1%
3410000 243
 
7.7%

관리번호
Text

UNIQUE 

Distinct3164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
2024-04-21T21:16:21.727372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters69608
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

Unique3164 ?
Unique (%)100.0%

Sample

1st row3410000-203-2010-00005
2nd row3410000-203-1982-00004
3rd row3410000-203-2008-00005
4th row3410000-203-2004-00004
5th row3410000-203-2009-00003
ValueCountFrequency (%)
3410000-203-2010-00005 1
 
< 0.1%
3460000-203-2002-00017 1
 
< 0.1%
3460000-203-1997-00005 1
 
< 0.1%
3460000-203-1999-00008 1
 
< 0.1%
3460000-203-1999-00009 1
 
< 0.1%
3460000-203-1999-00010 1
 
< 0.1%
3460000-203-1998-00003 1
 
< 0.1%
3460000-203-1996-00004 1
 
< 0.1%
3460000-203-1996-00007 1
 
< 0.1%
3460000-203-1996-00014 1
 
< 0.1%
Other values (3154) 3154
99.7%
2024-04-21T21:16:22.824644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30737
44.2%
- 9492
 
13.6%
3 7786
 
11.2%
2 6645
 
9.5%
4 4147
 
6.0%
1 3540
 
5.1%
9 2611
 
3.8%
7 1386
 
2.0%
6 1267
 
1.8%
5 1086
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60116
86.4%
Dash Punctuation 9492
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30737
51.1%
3 7786
 
13.0%
2 6645
 
11.1%
4 4147
 
6.9%
1 3540
 
5.9%
9 2611
 
4.3%
7 1386
 
2.3%
6 1267
 
2.1%
5 1086
 
1.8%
8 911
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9492
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30737
44.2%
- 9492
 
13.6%
3 7786
 
11.2%
2 6645
 
9.5%
4 4147
 
6.0%
1 3540
 
5.1%
9 2611
 
3.8%
7 1386
 
2.0%
6 1267
 
1.8%
5 1086
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30737
44.2%
- 9492
 
13.6%
3 7786
 
11.2%
2 6645
 
9.5%
4 4147
 
6.0%
1 3540
 
5.1%
9 2611
 
3.8%
7 1386
 
2.0%
6 1267
 
1.8%
5 1086
 
1.6%

인허가일자
Real number (ℝ)

Distinct2094
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20017347
Minimum19601125
Maximum20211220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:23.242395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601125
5-th percentile19810720
Q119970120
median20020768
Q320071116
95-th percentile20180998
Maximum20211220
Range610095
Interquartile range (IQR)100996.5

Descriptive statistics

Standard deviation100857.27
Coefficient of variation (CV)0.0050384931
Kurtosis1.3636755
Mean20017347
Median Absolute Deviation (MAD)50646
Skewness-0.69055771
Sum6.3334887 × 1010
Variance1.0172188 × 1010
MonotonicityNot monotonic
2024-04-21T21:16:23.683914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19961221 113
 
3.6%
19961224 97
 
3.1%
20030728 85
 
2.7%
20030708 77
 
2.4%
19961212 28
 
0.9%
19970114 23
 
0.7%
19970120 22
 
0.7%
20030120 22
 
0.7%
19961213 19
 
0.6%
20000426 16
 
0.5%
Other values (2084) 2662
84.1%
ValueCountFrequency (%)
19601125 1
< 0.1%
19601220 1
< 0.1%
19620824 1
< 0.1%
19630420 1
< 0.1%
19631009 1
< 0.1%
19631109 1
< 0.1%
19640812 1
< 0.1%
19650525 1
< 0.1%
19650731 1
< 0.1%
19661112 1
< 0.1%
ValueCountFrequency (%)
20211220 2
0.1%
20211213 2
0.1%
20211203 1
< 0.1%
20211202 1
< 0.1%
20211124 1
< 0.1%
20211119 1
< 0.1%
20211116 1
< 0.1%
20211112 1
< 0.1%
20211026 1
< 0.1%
20211018 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
3
2230 
1
934 

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 2230
70.5%
1 934
29.5%

Length

2024-04-21T21:16:24.103621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:24.413045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2230
70.5%
1 934
29.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
폐업
2230 
영업/정상
934 

Length

Max length5
Median length2
Mean length2.8855879
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2230
70.5%
영업/정상 934
29.5%

Length

2024-04-21T21:16:24.757863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:25.074810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2230
70.5%
영업/정상 934
29.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
2
2230 
1
934 

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 2230
70.5%
1 934
29.5%

Length

2024-04-21T21:16:25.411120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:25.720480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2230
70.5%
1 934
29.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
폐업
2230 
영업
934 

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 2230
70.5%
영업 934
29.5%

Length

2024-04-21T21:16:26.054303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:26.364208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2230
70.5%
영업 934
29.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct1596
Distinct (%)71.6%
Missing934
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean20098374
Minimum19980506
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:26.712220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980506
5-th percentile20030304
Q120040925
median20081010
Q320150610
95-th percentile20200967
Maximum20211231
Range230725
Interquartile range (IQR)109685

Descriptive statistics

Standard deviation60363.692
Coefficient of variation (CV)0.0030034117
Kurtosis-1.1901348
Mean20098374
Median Absolute Deviation (MAD)49778.5
Skewness0.41587443
Sum4.4819374 × 1010
Variance3.6437753 × 109
MonotonicityNot monotonic
2024-04-21T21:16:27.158069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040312 41
 
1.3%
20031231 28
 
0.9%
20030708 26
 
0.8%
20031120 25
 
0.8%
20031229 14
 
0.4%
20031226 11
 
0.3%
20050117 11
 
0.3%
20031128 10
 
0.3%
20031230 10
 
0.3%
20031222 9
 
0.3%
Other values (1586) 2045
64.6%
(Missing) 934
29.5%
ValueCountFrequency (%)
19980506 1
< 0.1%
19990524 1
< 0.1%
20000603 1
< 0.1%
20000710 1
< 0.1%
20000712 1
< 0.1%
20000812 1
< 0.1%
20000831 1
< 0.1%
20000925 1
< 0.1%
20001009 1
< 0.1%
20001212 1
< 0.1%
ValueCountFrequency (%)
20211231 1
< 0.1%
20211230 1
< 0.1%
20211228 1
< 0.1%
20211227 2
0.1%
20211224 1
< 0.1%
20211221 1
< 0.1%
20211213 1
< 0.1%
20211203 1
< 0.1%
20211202 1
< 0.1%
20211130 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

소재지전화
Text

MISSING 

Distinct2083
Distinct (%)94.4%
Missing958
Missing (%)30.3%
Memory size24.8 KiB
2024-04-21T21:16:28.259871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.770626
Min length6

Characters and Unicode

Total characters23760
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

Unique1976 ?
Unique (%)89.6%

Sample

1st row053 2536037
2nd row053 4233939
3rd row053 4236188
4th row053 2562176
5th row053 2522597
ValueCountFrequency (%)
053 1920
41.9%
764 16
 
0.3%
352 11
 
0.2%
763 11
 
0.2%
791 10
 
0.2%
956 9
 
0.2%
762 9
 
0.2%
756 8
 
0.2%
755 8
 
0.2%
754 8
 
0.2%
Other values (2214) 2569
56.1%
2024-04-21T21:16:29.757014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2392
10.1%
2 1937
8.2%
6 1810
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1272
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21368
89.9%
Space Separator 2392
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4376
20.5%
3 3557
16.6%
0 2936
13.7%
2 1937
9.1%
6 1810
8.5%
7 1458
 
6.8%
4 1440
 
6.7%
1 1315
 
6.2%
8 1272
 
6.0%
9 1267
 
5.9%
Space Separator
ValueCountFrequency (%)
2392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2392
10.1%
2 1937
8.2%
6 1810
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1272
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2392
10.1%
2 1937
8.2%
6 1810
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1272
 
5.4%

소재지면적
Text

Distinct1385
Distinct (%)44.1%
Missing24
Missing (%)0.8%
Memory size24.8 KiB
2024-04-21T21:16:31.128051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length4.7716561
Min length3

Characters and Unicode

Total characters14983
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique976 ?
Unique (%)31.1%

Sample

1st row56.10
2nd row31.32
3rd row4.32
4th row102.00
5th row6.00
ValueCountFrequency (%)
00 242
 
7.7%
33.00 60
 
1.9%
16.50 60
 
1.9%
19.80 49
 
1.6%
20.00 43
 
1.4%
23.10 40
 
1.3%
15.00 36
 
1.1%
6.60 32
 
1.0%
26.40 31
 
1.0%
18.00 30
 
1.0%
Other values (1375) 2517
80.2%
2024-04-21T21:16:32.931374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3339
22.3%
. 3140
21.0%
1 1456
9.7%
2 1433
9.6%
3 990
 
6.6%
5 939
 
6.3%
6 878
 
5.9%
4 800
 
5.3%
8 750
 
5.0%
9 669
 
4.5%
Other values (2) 589
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11839
79.0%
Other Punctuation 3144
 
21.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3339
28.2%
1 1456
12.3%
2 1433
12.1%
3 990
 
8.4%
5 939
 
7.9%
6 878
 
7.4%
4 800
 
6.8%
8 750
 
6.3%
9 669
 
5.7%
7 585
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 3140
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3339
22.3%
. 3140
21.0%
1 1456
9.7%
2 1433
9.6%
3 990
 
6.6%
5 939
 
6.3%
6 878
 
5.9%
4 800
 
5.3%
8 750
 
5.0%
9 669
 
4.5%
Other values (2) 589
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3339
22.3%
. 3140
21.0%
1 1456
9.7%
2 1433
9.6%
3 990
 
6.6%
5 939
 
6.3%
6 878
 
5.9%
4 800
 
5.3%
8 750
 
5.0%
9 669
 
4.5%
Other values (2) 589
 
3.9%

소재지우편번호
Real number (ℝ)

Distinct544
Distinct (%)17.2%
Missing9
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean704175.11
Minimum700010
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:33.348487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700815
Q1702050
median703840
Q3705809
95-th percentile706852
Maximum711892
Range11882
Interquartile range (IQR)3759

Descriptive statistics

Standard deviation2478.6556
Coefficient of variation (CV)0.0035199421
Kurtosis1.7357754
Mean704175.11
Median Absolute Deviation (MAD)1965
Skewness1.0533568
Sum2.2216725 × 109
Variance6143733.8
MonotonicityNot monotonic
2024-04-21T21:16:33.982697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 41
 
1.3%
704060 35
 
1.1%
702040 29
 
0.9%
704932 25
 
0.8%
704834 23
 
0.7%
711852 22
 
0.7%
705809 22
 
0.7%
703805 22
 
0.7%
704904 22
 
0.7%
706839 21
 
0.7%
Other values (534) 2893
91.4%
ValueCountFrequency (%)
700010 7
0.2%
700020 3
0.1%
700030 4
0.1%
700040 1
 
< 0.1%
700060 1
 
< 0.1%
700070 1
 
< 0.1%
700081 1
 
< 0.1%
700082 4
0.1%
700093 1
 
< 0.1%
700111 4
0.1%
ValueCountFrequency (%)
711892 3
 
0.1%
711891 6
0.2%
711874 5
0.2%
711873 3
 
0.1%
711872 9
0.3%
711871 1
 
< 0.1%
711864 4
0.1%
711863 1
 
< 0.1%
711861 2
 
0.1%
711858 2
 
0.1%

소재지전체주소
Text

Distinct2792
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
2024-04-21T21:16:35.300799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length23.765171
Min length17

Characters and Unicode

Total characters75193
Distinct characters288
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2506 ?
Unique (%)79.2%

Sample

1st row대구광역시 중구 대신동 0115-0005번지 지상2층
2nd row대구광역시 중구 남산동 698-22번지
3rd row대구광역시 중구 동산동 0360번지 지하1층
4th row대구광역시 중구 전동 0035번지
5th row대구광역시 중구 대봉동 0044-0010번지 청운상가 305호
ValueCountFrequency (%)
대구광역시 3164
22.8%
달서구 621
 
4.5%
북구 511
 
3.7%
동구 510
 
3.7%
수성구 448
 
3.2%
서구 411
 
3.0%
남구 273
 
2.0%
중구 243
 
1.8%
대명동 200
 
1.4%
달성군 147
 
1.1%
Other values (3163) 7353
53.0%
2024-04-21T21:16:37.089896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13761
18.3%
구 6227
 
8.3%
동 3735
 
5.0%
1 3586
 
4.8%
대 3496
 
4.6%
지 3230
 
4.3%
시 3196
 
4.3%
광 3172
 
4.2%
역 3167
 
4.2%
번 2792
 
3.7%
Other values (278) 28831
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41873
55.7%
Decimal Number 16089
 
21.4%
Space Separator 13761
 
18.3%
Dash Punctuation 2742
 
3.6%
Open Punctuation 312
 
0.4%
Close Punctuation 312
 
0.4%
Other Punctuation 61
 
0.1%
Uppercase Letter 42
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6227
14.9%
동 3735
 
8.9%
대 3496
 
8.3%
지 3230
 
7.7%
시 3196
 
7.6%
광 3172
 
7.6%
역 3167
 
7.6%
번 2792
 
6.7%
서 1101
 
2.6%
성 882
 
2.1%
Other values (251) 10875
26.0%
Decimal Number
ValueCountFrequency (%)
1 3586
22.3%
2 2185
13.6%
0 1941
12.1%
3 1565
9.7%
4 1402
 
8.7%
5 1253
 
7.8%
6 1089
 
6.8%
7 1064
 
6.6%
9 1025
 
6.4%
8 979
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
P 4
 
9.5%
T 4
 
9.5%
L 1
 
2.4%
S 1
 
2.4%
C 1
 
2.4%
H 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 54
88.5%
/ 3
 
4.9%
. 3
 
4.9%
@ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
13761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2742
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41872
55.7%
Common 33278
44.3%
Latin 42
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6227
14.9%
동 3735
 
8.9%
대 3496
 
8.3%
지 3230
 
7.7%
시 3196
 
7.6%
광 3172
 
7.6%
역 3167
 
7.6%
번 2792
 
6.7%
서 1101
 
2.6%
성 882
 
2.1%
Other values (250) 10874
26.0%
Common
ValueCountFrequency (%)
13761
41.4%
1 3586
 
10.8%
- 2742
 
8.2%
2 2185
 
6.6%
0 1941
 
5.8%
3 1565
 
4.7%
4 1402
 
4.2%
5 1253
 
3.8%
6 1089
 
3.3%
7 1064
 
3.2%
Other values (9) 2690
 
8.1%
Latin
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
P 4
 
9.5%
T 4
 
9.5%
L 1
 
2.4%
S 1
 
2.4%
C 1
 
2.4%
H 1
 
2.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41872
55.7%
ASCII 33320
44.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13761
41.3%
1 3586
 
10.8%
- 2742
 
8.2%
2 2185
 
6.6%
0 1941
 
5.8%
3 1565
 
4.7%
4 1402
 
4.2%
5 1253
 
3.8%
6 1089
 
3.3%
7 1064
 
3.2%
Other values (17) 2732
 
8.2%
Hangul
ValueCountFrequency (%)
구 6227
14.9%
동 3735
 
8.9%
대 3496
 
8.3%
지 3230
 
7.7%
시 3196
 
7.6%
광 3172
 
7.6%
역 3167
 
7.6%
번 2792
 
6.7%
서 1101
 
2.6%
성 882
 
2.1%
Other values (250) 10874
26.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1676
Distinct (%)95.6%
Missing1411
Missing (%)44.6%
Memory size24.8 KiB
2024-04-21T21:16:38.520243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length27.679407
Min length18

Characters and Unicode

Total characters48522
Distinct characters307
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1613 ?
Unique (%)92.0%

Sample

1st row대구광역시 중구 국채보상로 458, 2층 (대신동)
2nd row대구광역시 중구 국채보상로 570-8 (전동)
3rd row대구광역시 중구 달구벌대로447길 72-1 (삼덕동3가)
4th row대구광역시 중구 중앙대로77길 36 (종로2가)
5th row대구광역시 중구 국채보상로 537 (수동, 상서동22-2)
ValueCountFrequency (%)
대구광역시 1753
 
17.8%
달서구 335
 
3.4%
동구 288
 
2.9%
1층 283
 
2.9%
북구 282
 
2.9%
수성구 250
 
2.5%
서구 203
 
2.1%
남구 167
 
1.7%
중구 133
 
1.3%
대명동 118
 
1.2%
Other values (2029) 6041
61.3%
2024-04-21T21:16:40.429723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8100
 
16.7%
구 3610
 
7.4%
동 2337
 
4.8%
대 2237
 
4.6%
1 1967
 
4.1%
시 1788
 
3.7%
) 1777
 
3.7%
( 1777
 
3.7%
역 1759
 
3.6%
광 1756
 
3.6%
Other values (297) 21414
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28101
57.9%
Space Separator 8100
 
16.7%
Decimal Number 7486
 
15.4%
Close Punctuation 1777
 
3.7%
Open Punctuation 1777
 
3.7%
Other Punctuation 937
 
1.9%
Dash Punctuation 310
 
0.6%
Uppercase Letter 33
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3610
 
12.8%
동 2337
 
8.3%
대 2237
 
8.0%
시 1788
 
6.4%
역 1759
 
6.3%
광 1756
 
6.2%
로 1672
 
5.9%
길 966
 
3.4%
층 710
 
2.5%
서 699
 
2.5%
Other values (271) 10567
37.6%
Decimal Number
ValueCountFrequency (%)
1 1967
26.3%
2 1110
14.8%
3 874
11.7%
0 619
 
8.3%
4 614
 
8.2%
5 539
 
7.2%
6 514
 
6.9%
7 470
 
6.3%
8 409
 
5.5%
9 370
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 14
42.4%
B 11
33.3%
E 2
 
6.1%
P 2
 
6.1%
T 2
 
6.1%
H 1
 
3.0%
S 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 934
99.7%
/ 1
 
0.1%
. 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1777
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1777
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28101
57.9%
Common 20388
42.0%
Latin 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3610
 
12.8%
동 2337
 
8.3%
대 2237
 
8.0%
시 1788
 
6.4%
역 1759
 
6.3%
광 1756
 
6.2%
로 1672
 
5.9%
길 966
 
3.4%
층 710
 
2.5%
서 699
 
2.5%
Other values (271) 10567
37.6%
Common
ValueCountFrequency (%)
8100
39.7%
1 1967
 
9.6%
) 1777
 
8.7%
( 1777
 
8.7%
2 1110
 
5.4%
, 934
 
4.6%
3 874
 
4.3%
0 619
 
3.0%
4 614
 
3.0%
5 539
 
2.6%
Other values (9) 2077
 
10.2%
Latin
ValueCountFrequency (%)
A 14
42.4%
B 11
33.3%
E 2
 
6.1%
P 2
 
6.1%
T 2
 
6.1%
H 1
 
3.0%
S 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28101
57.9%
ASCII 20421
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8100
39.7%
1 1967
 
9.6%
) 1777
 
8.7%
( 1777
 
8.7%
2 1110
 
5.4%
, 934
 
4.6%
3 874
 
4.3%
0 619
 
3.0%
4 614
 
3.0%
5 539
 
2.6%
Other values (16) 2110
 
10.3%
Hangul
ValueCountFrequency (%)
구 3610
 
12.8%
동 2337
 
8.3%
대 2237
 
8.0%
시 1788
 
6.4%
역 1759
 
6.3%
광 1756
 
6.2%
로 1672
 
5.9%
길 966
 
3.4%
층 710
 
2.5%
서 699
 
2.5%
Other values (271) 10567
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct850
Distinct (%)49.2%
Missing1435
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean42009.93
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:40.848352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41121
Q141535
median41963
Q342510
95-th percentile42918
Maximum43024
Range2024
Interquartile range (IQR)975

Descriptive statistics

Standard deviation577.13811
Coefficient of variation (CV)0.013738136
Kurtosis-1.1921061
Mean42009.93
Median Absolute Deviation (MAD)498
Skewness-0.0026546059
Sum72635169
Variance333088.4
MonotonicityNot monotonic
2024-04-21T21:16:41.300903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41558 9
 
0.3%
42612 9
 
0.3%
41913 8
 
0.3%
42632 8
 
0.3%
41947 7
 
0.2%
41535 7
 
0.2%
42653 7
 
0.2%
42400 7
 
0.2%
41122 7
 
0.2%
41465 7
 
0.2%
Other values (840) 1653
52.2%
(Missing) 1435
45.4%
ValueCountFrequency (%)
41000 3
0.1%
41002 4
0.1%
41005 2
0.1%
41007 3
0.1%
41009 3
0.1%
41011 1
 
< 0.1%
41017 1
 
< 0.1%
41020 1
 
< 0.1%
41026 1
 
< 0.1%
41027 1
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43013 3
0.1%
43010 2
0.1%
43006 1
 
< 0.1%
43005 1
 
< 0.1%
43004 1
 
< 0.1%
43003 1
 
< 0.1%
43000 4
0.1%
42999 3
0.1%
42996 3
0.1%

사업장명
Text

Distinct2009
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
2024-04-21T21:16:42.432704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length5
Mean length5.0758534
Min length1

Characters and Unicode

Total characters16060
Distinct characters507
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1523 ?
Unique (%)48.1%

Sample

1st row서남이용소
2nd row정
3rd row엘디스리젠트
4th row새중앙
5th row코스팜코리아
ValueCountFrequency (%)
이용소 36
 
1.1%
대성이용소 25
 
0.8%
현대이용소 25
 
0.8%
명성이용소 20
 
0.6%
삼성이용소 17
 
0.5%
그린이용소 16
 
0.5%
동원이용소 15
 
0.5%
블루클럽 15
 
0.5%
보성이용소 13
 
0.4%
대동이용소 12
 
0.4%
Other values (1966) 3054
94.0%
2024-04-21T21:16:43.945449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2274
 
14.2%
용 2204
 
13.7%
소 2113
 
13.2%
성 341
 
2.1%
대 291
 
1.8%
동 202
 
1.3%
신 184
 
1.1%
원 175
 
1.1%
165
 
1.0%
천 158
 
1.0%
Other values (497) 7953
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15628
97.3%
Space Separator 165
 
1.0%
Uppercase Letter 79
 
0.5%
Lowercase Letter 68
 
0.4%
Close Punctuation 36
 
0.2%
Open Punctuation 36
 
0.2%
Decimal Number 34
 
0.2%
Other Punctuation 12
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2274
 
14.6%
용 2204
 
14.1%
소 2113
 
13.5%
성 341
 
2.2%
대 291
 
1.9%
동 202
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 149
 
1.0%
Other values (440) 7537
48.2%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
11.4%
B 9
 
11.4%
M 7
 
8.9%
O 7
 
8.9%
S 5
 
6.3%
N 4
 
5.1%
E 4
 
5.1%
L 4
 
5.1%
K 4
 
5.1%
Q 3
 
3.8%
Other values (13) 23
29.1%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.2%
a 8
11.8%
r 7
10.3%
n 6
8.8%
s 5
 
7.4%
e 5
 
7.4%
h 5
 
7.4%
b 4
 
5.9%
p 3
 
4.4%
l 3
 
4.4%
Other values (7) 13
19.1%
Decimal Number
ValueCountFrequency (%)
8 8
23.5%
1 8
23.5%
2 6
17.6%
3 6
17.6%
0 4
11.8%
5 1
 
2.9%
4 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 7
58.3%
' 2
 
16.7%
& 1
 
8.3%
· 1
 
8.3%
, 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15628
97.3%
Common 283
 
1.8%
Latin 149
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2274
 
14.6%
용 2204
 
14.1%
소 2113
 
13.5%
성 341
 
2.2%
대 291
 
1.9%
동 202
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 149
 
1.0%
Other values (440) 7537
48.2%
Latin
ValueCountFrequency (%)
A 9
 
6.0%
o 9
 
6.0%
B 9
 
6.0%
a 8
 
5.4%
M 7
 
4.7%
r 7
 
4.7%
O 7
 
4.7%
n 6
 
4.0%
s 5
 
3.4%
e 5
 
3.4%
Other values (32) 77
51.7%
Common
ValueCountFrequency (%)
165
58.3%
) 36
 
12.7%
( 36
 
12.7%
8 8
 
2.8%
1 8
 
2.8%
. 7
 
2.5%
2 6
 
2.1%
3 6
 
2.1%
0 4
 
1.4%
' 2
 
0.7%
Other values (5) 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15628
97.3%
ASCII 429
 
2.7%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2274
 
14.6%
용 2204
 
14.1%
소 2113
 
13.5%
성 341
 
2.2%
대 291
 
1.9%
동 202
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 149
 
1.0%
Other values (440) 7537
48.2%
ASCII
ValueCountFrequency (%)
165
38.5%
) 36
 
8.4%
( 36
 
8.4%
A 9
 
2.1%
o 9
 
2.1%
B 9
 
2.1%
8 8
 
1.9%
1 8
 
1.9%
a 8
 
1.9%
. 7
 
1.6%
Other values (44) 134
31.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2449
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010884 × 1013
Minimum2.0011006 × 1013
Maximum2.0211231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:44.359492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0011006 × 1013
5-th percentile2.0021011 × 1013
Q12.0040313 × 1013
median2.0100831 × 1013
Q32.0180502 × 1013
95-th percentile2.0210607 × 1013
Maximum2.0211231 × 1013
Range2.002251 × 1011
Interquartile range (IQR)1.4018886 × 1011

Descriptive statistics

Standard deviation6.6807418 × 1010
Coefficient of variation (CV)0.003322291
Kurtosis-1.4692838
Mean2.010884 × 1013
Median Absolute Deviation (MAD)6.9601113 × 1010
Skewness0.17165239
Sum6.3624369 × 1016
Variance4.4632311 × 1021
MonotonicityNot monotonic
2024-04-21T21:16:44.819380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031031000000 39
 
1.2%
20040313000000 37
 
1.2%
20041129000000 34
 
1.1%
20020416000000 27
 
0.9%
20040312000000 25
 
0.8%
20031010000000 24
 
0.8%
20040213000000 23
 
0.7%
20021011000000 21
 
0.7%
20030731000000 17
 
0.5%
20020729000000 16
 
0.5%
Other values (2439) 2901
91.7%
ValueCountFrequency (%)
20011006000000 4
 
0.1%
20011218000000 1
 
< 0.1%
20020320000000 1
 
< 0.1%
20020330000000 1
 
< 0.1%
20020412000000 1
 
< 0.1%
20020416000000 27
0.9%
20020417000000 8
 
0.3%
20020418000000 3
 
0.1%
20020508000000 1
 
< 0.1%
20020510000000 1
 
< 0.1%
ValueCountFrequency (%)
20211231104915 1
< 0.1%
20211230093006 1
< 0.1%
20211228102220 1
< 0.1%
20211227123600 1
< 0.1%
20211227114805 1
< 0.1%
20211224161005 1
< 0.1%
20211224160352 1
< 0.1%
20211223144820 1
< 0.1%
20211221132128 1
< 0.1%
20211221130642 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
I
2495 
U
669 

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 2495
78.9%
U 669
 
21.1%

Length

2024-04-21T21:16:45.247846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:45.558788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2495
78.9%
u 669
 
21.1%

데이터갱신일자
Date

Distinct430
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-02 02:40:00
2024-04-21T21:16:45.899185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:16:46.338021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
일반이용업
3128 
이용업 기타
 
36

Length

Max length6
Median length5
Mean length5.011378
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3128
98.9%
이용업 기타 36
 
1.1%

Length

2024-04-21T21:16:46.755184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:47.071904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3128
97.8%
이용업 36
 
1.1%
기타 36
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2338
Distinct (%)77.5%
Missing146
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean343051.41
Minimum327551.87
Maximum356534.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:47.389166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327551.87
5-th percentile335206.11
Q1339875.11
median342647.22
Q3346246.21
95-th percentile352512.84
Maximum356534.13
Range28982.259
Interquartile range (IQR)6371.1026

Descriptive statistics

Standard deviation4882.8375
Coefficient of variation (CV)0.014233545
Kurtosis0.45649939
Mean343051.41
Median Absolute Deviation (MAD)3108.8598
Skewness0.060546374
Sum1.0353291 × 109
Variance23842102
MonotonicityNot monotonic
2024-04-21T21:16:47.800150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342056.356661 10
 
0.3%
338881.747008 8
 
0.3%
342355.950931 8
 
0.3%
344046.261885 7
 
0.2%
335728.273517 7
 
0.2%
342647.200755 7
 
0.2%
346440.105797 6
 
0.2%
354615.507123 6
 
0.2%
339440.669923 6
 
0.2%
337346.648864 6
 
0.2%
Other values (2328) 2947
93.1%
(Missing) 146
 
4.6%
ValueCountFrequency (%)
327551.872352 1
< 0.1%
327693.456541 1
< 0.1%
327698.913649 1
< 0.1%
328243.083724 1
< 0.1%
328293.62359 2
0.1%
328337.353662 1
< 0.1%
328389.300033 1
< 0.1%
328436.659113 1
< 0.1%
328575.030436 1
< 0.1%
328656.357314 1
< 0.1%
ValueCountFrequency (%)
356534.131252 2
0.1%
356515.752178 1
< 0.1%
356485.853105 1
< 0.1%
356437.578421 1
< 0.1%
356428.0866 1
< 0.1%
356290.801264 1
< 0.1%
356197.467672 1
< 0.1%
356142.765212 1
< 0.1%
356129.784535 1
< 0.1%
356063.546354 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2338
Distinct (%)77.5%
Missing146
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean263530.39
Minimum238769.81
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:48.213524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257678.97
Q1261590.45
median263711.7
Q3265715.99
95-th percentile270315.12
Maximum278091.65
Range39321.841
Interquartile range (IQR)4125.5465

Descriptive statistics

Standard deviation4159.4429
Coefficient of variation (CV)0.015783542
Kurtosis6.0653251
Mean263530.39
Median Absolute Deviation (MAD)2070.9787
Skewness-1.2038502
Sum7.9533471 × 108
Variance17300966
MonotonicityNot monotonic
2024-04-21T21:16:48.668891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261454.668093 10
 
0.3%
261852.136016 8
 
0.3%
261485.129229 8
 
0.3%
261742.707245 7
 
0.2%
262684.165543 7
 
0.2%
261846.398048 7
 
0.2%
267083.375924 6
 
0.2%
264736.879631 6
 
0.2%
261637.957404 6
 
0.2%
258035.007517 6
 
0.2%
Other values (2328) 2947
93.1%
(Missing) 146
 
4.6%
ValueCountFrequency (%)
238769.812522 2
0.1%
238810.537774 1
< 0.1%
240700.866897 1
< 0.1%
240715.325375 1
< 0.1%
240837.868215 1
< 0.1%
240992.822164 1
< 0.1%
241926.136957 1
< 0.1%
242247.9639 1
< 0.1%
242378.729863 1
< 0.1%
244504.04518 1
< 0.1%
ValueCountFrequency (%)
278091.653532 3
0.1%
277462.879247 4
0.1%
274407.551765 1
 
< 0.1%
274171.709713 2
0.1%
274148.35881 1
 
< 0.1%
273755.811454 1
 
< 0.1%
273712.082489 1
 
< 0.1%
273237.600006 1
 
< 0.1%
273183.361741 1
 
< 0.1%
273092.974881 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
일반이용업
3128 
이용업 기타
 
36

Length

Max length6
Median length5
Mean length5.011378
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3128
98.9%
이용업 기타 36
 
1.1%

Length

2024-04-21T21:16:49.096253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:49.410879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3128
97.8%
이용업 36
 
1.1%
기타 36
 
1.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.8%
Missing589
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean2.5374757
Minimum0
Maximum35
Zeros634
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:49.701429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4154815
Coefficient of variation (CV)0.95192299
Kurtosis31.063812
Mean2.5374757
Median Absolute Deviation (MAD)2
Skewness3.4226182
Sum6534
Variance5.8345507
MonotonicityNot monotonic
2024-04-21T21:16:50.080501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 634
20.0%
3 550
17.4%
2 518
16.4%
4 332
10.5%
5 217
 
6.9%
1 176
 
5.6%
6 56
 
1.8%
7 31
 
1.0%
9 22
 
0.7%
10 14
 
0.4%
Other values (11) 25
 
0.8%
(Missing) 589
18.6%
ValueCountFrequency (%)
0 634
20.0%
1 176
 
5.6%
2 518
16.4%
3 550
17.4%
4 332
10.5%
5 217
 
6.9%
6 56
 
1.8%
7 31
 
1.0%
8 10
 
0.3%
9 22
 
0.7%
ValueCountFrequency (%)
35 1
 
< 0.1%
31 1
 
< 0.1%
28 1
 
< 0.1%
23 1
 
< 0.1%
20 3
0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
15 2
0.1%
12 1
 
< 0.1%
11 3
0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing952
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean0.55470163
Minimum0
Maximum9
Zeros1188
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:50.436692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.76394946
Coefficient of variation (CV)1.3772259
Kurtosis19.338392
Mean0.55470163
Median Absolute Deviation (MAD)0
Skewness3.0197444
Sum1227
Variance0.58361877
MonotonicityNot monotonic
2024-04-21T21:16:50.766706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1188
37.5%
1 899
28.4%
2 93
 
2.9%
4 13
 
0.4%
3 9
 
0.3%
5 3
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
9 1
 
< 0.1%
(Missing) 952
30.1%
ValueCountFrequency (%)
0 1188
37.5%
1 899
28.4%
2 93
 
2.9%
3 9
 
0.3%
4 13
 
0.4%
5 3
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 3
 
0.1%
6 3
 
0.1%
5 3
 
0.1%
4 13
 
0.4%
3 9
 
0.3%
2 93
 
2.9%
1 899
28.4%
0 1188
37.5%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.4%
Missing820
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean1.3093003
Minimum0
Maximum9
Zeros523
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:51.095041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2237438
Coefficient of variation (CV)0.93465479
Kurtosis5.5357703
Mean1.3093003
Median Absolute Deviation (MAD)1
Skewness1.8441897
Sum3069
Variance1.497549
MonotonicityNot monotonic
2024-04-21T21:16:51.423238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 1127
35.6%
0 523
16.5%
2 368
 
11.6%
3 204
 
6.4%
4 70
 
2.2%
5 25
 
0.8%
6 11
 
0.3%
8 9
 
0.3%
7 6
 
0.2%
9 1
 
< 0.1%
(Missing) 820
25.9%
ValueCountFrequency (%)
0 523
16.5%
1 1127
35.6%
2 368
 
11.6%
3 204
 
6.4%
4 70
 
2.2%
5 25
 
0.8%
6 11
 
0.3%
7 6
 
0.2%
8 9
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 9
 
0.3%
7 6
 
0.2%
6 11
 
0.3%
5 25
 
0.8%
4 70
 
2.2%
3 204
 
6.4%
2 368
 
11.6%
1 1127
35.6%
0 523
16.5%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1054
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.4407583
Minimum0
Maximum8
Zeros296
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:51.748530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1938865
Coefficient of variation (CV)0.82865149
Kurtosis5.3462046
Mean1.4407583
Median Absolute Deviation (MAD)0
Skewness1.8581463
Sum3040
Variance1.425365
MonotonicityNot monotonic
2024-04-21T21:16:52.113002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1130
35.7%
2 367
 
11.6%
0 296
 
9.4%
3 194
 
6.1%
4 69
 
2.2%
5 28
 
0.9%
6 12
 
0.4%
8 8
 
0.3%
7 6
 
0.2%
(Missing) 1054
33.3%
ValueCountFrequency (%)
0 296
 
9.4%
1 1130
35.7%
2 367
 
11.6%
3 194
 
6.1%
4 69
 
2.2%
5 28
 
0.9%
6 12
 
0.4%
7 6
 
0.2%
8 8
 
0.3%
ValueCountFrequency (%)
8 8
 
0.3%
7 6
 
0.2%
6 12
 
0.4%
5 28
 
0.9%
4 69
 
2.2%
3 194
 
6.1%
2 367
 
11.6%
1 1130
35.7%
0 296
 
9.4%

사용시작지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
0
1555 
<NA>
1413 
1
190 
2
 
5
6
 
1

Length

Max length4
Median length1
Mean length2.3397598
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1555
49.1%
<NA> 1413
44.7%
1 190
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-04-21T21:16:52.750609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:53.089417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1555
49.1%
na 1413
44.7%
1 190
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%

사용끝지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
1721 
0
1207 
1
230 
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length2.6317952
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1721
54.4%
0 1207
38.1%
1 230
 
7.3%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-04-21T21:16:53.472290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:53.810745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1721
54.4%
0 1207
38.1%
1 230
 
7.3%
2 5
 
0.2%
6 1
 
< 0.1%

한실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
0
1836 
<NA>
1328 

Length

Max length4
Median length1
Mean length2.2591656
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1836
58.0%
<NA> 1328
42.0%

Length

2024-04-21T21:16:54.195322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:54.520992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1836
58.0%
na 1328
42.0%

양실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
0
1836 
<NA>
1328 

Length

Max length4
Median length1
Mean length2.2591656
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1836
58.0%
<NA> 1328
42.0%

Length

2024-04-21T21:16:54.877104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:55.203702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1836
58.0%
na 1328
42.0%

욕실수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
0
1835 
<NA>
1328 
2
 
1

Length

Max length4
Median length1
Mean length2.2591656
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1835
58.0%
<NA> 1328
42.0%
2 1
 
< 0.1%

Length

2024-04-21T21:16:55.560400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:55.891216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1835
58.0%
na 1328
42.0%
2 1
 
< 0.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing43
Missing (%)1.4%
Memory size6.3 KiB
False
3121 
(Missing)
 
43
ValueCountFrequency (%)
False 3121
98.6%
(Missing) 43
 
1.4%
2024-04-21T21:16:56.166114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.5%
Missing349
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean3.5040853
Minimum0
Maximum15
Zeros166
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:16:56.439161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5068281
Coefficient of variation (CV)0.71540158
Kurtosis1.6066469
Mean3.5040853
Median Absolute Deviation (MAD)1
Skewness1.3061421
Sum9864
Variance6.2841873
MonotonicityNot monotonic
2024-04-21T21:16:56.813385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 734
23.2%
2 661
20.9%
4 367
11.6%
1 270
 
8.5%
0 166
 
5.2%
5 131
 
4.1%
6 106
 
3.4%
8 98
 
3.1%
7 96
 
3.0%
9 93
 
2.9%
Other values (5) 93
 
2.9%
(Missing) 349
11.0%
ValueCountFrequency (%)
0 166
 
5.2%
1 270
 
8.5%
2 661
20.9%
3 734
23.2%
4 367
11.6%
5 131
 
4.1%
6 106
 
3.4%
7 96
 
3.0%
8 98
 
3.1%
9 93
 
2.9%
ValueCountFrequency (%)
15 2
 
0.1%
13 4
 
0.1%
12 22
 
0.7%
11 22
 
0.7%
10 43
 
1.4%
9 93
2.9%
8 98
3.1%
7 96
3.0%
6 106
3.4%
5 131
4.1%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3164
Missing (%)100.0%
Memory size27.9 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
1620 
임대
1403 
자가
 
141

Length

Max length4
Median length4
Mean length3.0240202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1620
51.2%
임대 1403
44.3%
자가 141
 
4.5%

Length

2024-04-21T21:16:57.250240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:57.595735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1620
51.2%
임대 1403
44.3%
자가 141
 
4.5%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
1677 
0
1487 

Length

Max length4
Median length4
Mean length2.5900759
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1677
53.0%
0 1487
47.0%

Length

2024-04-21T21:16:57.959780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:58.287718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1677
53.0%
0 1487
47.0%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
2757 
0
301 
1
 
101
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.6140961
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> 2757
87.1%
0 301
 
9.5%
1 101
 
3.2%
2 4
 
0.1%
3 1
 
< 0.1%

Length

2024-04-21T21:16:58.631068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:58.965220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2757
87.1%
0 301
 
9.5%
1 101
 
3.2%
2 4
 
0.1%
3 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
2651 
1
 
261
0
 
248
2
 
4

Length

Max length4
Median length4
Mean length3.5135904
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2651
83.8%
1 261
 
8.2%
0 248
 
7.8%
2 4
 
0.1%

Length

2024-04-21T21:16:59.339463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:16:59.669038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2651
83.8%
1 261
 
8.2%
0 248
 
7.8%
2 4
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
<NA>
1782 
0
1382 

Length

Max length4
Median length4
Mean length2.6896334
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1782
56.3%
0 1382
43.7%

Length

2024-04-21T21:17:00.046891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:17:00.378229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1782
56.3%
0 1382
43.7%

침대수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing1796
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean0.057748538
Minimum0
Maximum8
Zeros1352
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size27.9 KiB
2024-04-21T21:17:00.665240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59775113
Coefficient of variation (CV)10.350931
Kurtosis128.10256
Mean0.057748538
Median Absolute Deviation (MAD)0
Skewness11.196218
Sum79
Variance0.35730641
MonotonicityNot monotonic
2024-04-21T21:17:01.037880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1352
42.7%
7 5
 
0.2%
2 3
 
0.1%
8 2
 
0.1%
1 2
 
0.1%
6 2
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 1796
56.8%
ValueCountFrequency (%)
0 1352
42.7%
1 2
 
0.1%
2 3
 
0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
0.1%
7 5
 
0.2%
8 2
 
0.1%
ValueCountFrequency (%)
8 2
 
0.1%
7 5
 
0.2%
6 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 3
 
0.1%
1 2
 
0.1%
0 1352
42.7%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
False
3163 
True
 
1
ValueCountFrequency (%)
False 3163
> 99.9%
True 1
 
< 0.1%
2024-04-21T21:17:01.384668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01이용업05_19_01_P34100003410000-203-2010-0000520101124<NA>3폐업2폐업20120726<NA><NA><NA><NA>56.10700320대구광역시 중구 대신동 0115-0005번지 지상2층대구광역시 중구 국채보상로 458, 2층 (대신동)41926서남이용소20120208113611I2018-08-31 23:59:59.0일반이용업342714.834681264487.841783일반이용업902200000N7<NA><NA><NA><NA>0<NA><NA>00N
12이용업05_19_01_P34100003410000-203-1982-0000419820818<NA>3폐업2폐업20090817<NA><NA><NA>053 253603731.32700832대구광역시 중구 남산동 698-22번지<NA><NA>정20081021113237I2018-08-31 23:59:59.0일반이용업343722.34105263487.941195일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N7<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
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