Overview

Dataset statistics

Number of variables50
Number of observations3185
Missing cells32964
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

Description22년05월_6270000_대구광역시_05_19_01_P_이용업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093413&dataSetDetailId=DDI_0000093440&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
발한실여부 has constant value ""Constant
업태구분명 is highly imbalanced (90.9%)Imbalance
위생업태명 is highly imbalanced (90.9%)Imbalance
여성종사자수 is highly imbalanced (69.4%)Imbalance
남성종사자수 is highly imbalanced (57.4%)Imbalance
다중이용업소여부 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3185 (100.0%) missing valuesMissing
폐업일자 has 929 (29.2%) missing valuesMissing
휴업시작일자 has 3185 (100.0%) missing valuesMissing
휴업종료일자 has 3185 (100.0%) missing valuesMissing
재개업일자 has 3185 (100.0%) missing valuesMissing
소재지전화 has 979 (30.7%) missing valuesMissing
도로명전체주소 has 1411 (44.3%) missing valuesMissing
도로명우편번호 has 1436 (45.1%) missing valuesMissing
좌표정보(X) has 147 (4.6%) missing valuesMissing
좌표정보(Y) has 147 (4.6%) missing valuesMissing
건물지상층수 has 586 (18.4%) missing valuesMissing
건물지하층수 has 949 (29.8%) missing valuesMissing
사용시작지상층 has 818 (25.7%) missing valuesMissing
사용끝지상층 has 1052 (33.0%) missing valuesMissing
발한실여부 has 43 (1.4%) missing valuesMissing
의자수 has 349 (11.0%) missing valuesMissing
조건부허가신고사유 has 3185 (100.0%) missing valuesMissing
조건부허가시작일자 has 3185 (100.0%) missing valuesMissing
조건부허가종료일자 has 3185 (100.0%) missing valuesMissing
침대수 has 1790 (56.2%) 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 643 (20.2%) zerosZeros
건물지하층수 has 1208 (37.9%) zerosZeros
사용시작지상층 has 529 (16.6%) zerosZeros
사용끝지상층 has 306 (9.6%) zerosZeros
의자수 has 165 (5.2%) zerosZeros
침대수 has 1379 (43.3%) zerosZeros

Reproduction

Analysis started2024-04-21 22:27:42.718284
Analysis finished2024-04-21 22:27:45.039635
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1593
Minimum1
Maximum3185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:27:45.227018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile160.2
Q1797
median1593
Q32389
95-th percentile3025.8
Maximum3185
Range3184
Interquartile range (IQR)1592

Descriptive statistics

Standard deviation919.57463
Coefficient of variation (CV)0.57725965
Kurtosis-1.2
Mean1593
Median Absolute Deviation (MAD)796
Skewness0
Sum5073705
Variance845617.5
MonotonicityStrictly increasing
2024-04-22T07:27:45.665505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2117 1
 
< 0.1%
2119 1
 
< 0.1%
2120 1
 
< 0.1%
2121 1
 
< 0.1%
2122 1
 
< 0.1%
2123 1
 
< 0.1%
2124 1
 
< 0.1%
2125 1
 
< 0.1%
2126 1
 
< 0.1%
Other values (3175) 3175
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 (%)
3185 1
< 0.1%
3184 1
< 0.1%
3183 1
< 0.1%
3182 1
< 0.1%
3181 1
< 0.1%
3180 1
< 0.1%
3179 1
< 0.1%
3178 1
< 0.1%
3177 1
< 0.1%
3176 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
이용업
3185 

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 3185
100.0%

Length

2024-04-22T07:27:46.083268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:46.389035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 3185
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
05_19_01_P
3185 

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 3185
100.0%

Length

2024-04-22T07:27:46.704780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:47.012696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_19_01_p 3185
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445372.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:27:47.286651image/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 deviation21018.239
Coefficient of variation (CV)0.0061004265
Kurtosis-1.2543254
Mean3445372.1
Median Absolute Deviation (MAD)20000
Skewness-0.12758436
Sum1.097351 × 1010
Variance4.4176637 × 108
MonotonicityIncreasing
2024-04-22T07:27:47.658996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 622
19.5%
3450000 516
16.2%
3420000 512
16.1%
3460000 451
14.2%
3430000 414
13.0%
3440000 275
8.6%
3410000 245
 
7.7%
3480000 150
 
4.7%
ValueCountFrequency (%)
3410000 245
 
7.7%
3420000 512
16.1%
3430000 414
13.0%
3440000 275
8.6%
3450000 516
16.2%
3460000 451
14.2%
3470000 622
19.5%
3480000 150
 
4.7%
ValueCountFrequency (%)
3480000 150
 
4.7%
3470000 622
19.5%
3460000 451
14.2%
3450000 516
16.2%
3440000 275
8.6%
3430000 414
13.0%
3420000 512
16.1%
3410000 245
 
7.7%

관리번호
Text

UNIQUE 

Distinct3185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2024-04-22T07:27:48.384748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters70070
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

Unique3185 ?
Unique (%)100.0%

Sample

1st row3410000-203-2010-00004
2nd row3410000-203-2001-00001
3rd row3410000-203-2010-00005
4th row3410000-203-1982-00004
5th row3410000-203-2008-00005
ValueCountFrequency (%)
3410000-203-2010-00004 1
 
< 0.1%
3460000-203-1998-00016 1
 
< 0.1%
3460000-203-1998-00019 1
 
< 0.1%
3460000-203-1999-00028 1
 
< 0.1%
3460000-203-2002-00017 1
 
< 0.1%
3460000-203-2002-00019 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%
Other values (3175) 3175
99.7%
2024-04-22T07:27:49.491237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30944
44.2%
- 9555
 
13.6%
3 7833
 
11.2%
2 6728
 
9.6%
4 4172
 
6.0%
1 3557
 
5.1%
9 2616
 
3.7%
7 1388
 
2.0%
6 1271
 
1.8%
5 1092
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60515
86.4%
Dash Punctuation 9555
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30944
51.1%
3 7833
 
12.9%
2 6728
 
11.1%
4 4172
 
6.9%
1 3557
 
5.9%
9 2616
 
4.3%
7 1388
 
2.3%
6 1271
 
2.1%
5 1092
 
1.8%
8 914
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70070
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30944
44.2%
- 9555
 
13.6%
3 7833
 
11.2%
2 6728
 
9.6%
4 4172
 
6.0%
1 3557
 
5.1%
9 2616
 
3.7%
7 1388
 
2.0%
6 1271
 
1.8%
5 1092
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30944
44.2%
- 9555
 
13.6%
3 7833
 
11.2%
2 6728
 
9.6%
4 4172
 
6.0%
1 3557
 
5.1%
9 2616
 
3.7%
7 1388
 
2.0%
6 1271
 
1.8%
5 1092
 
1.6%

인허가일자
Real number (ℝ)

Distinct2109
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20018545
Minimum19601125
Maximum20220527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:27:49.912049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601125
5-th percentile19810720
Q119970120
median20020829
Q320080118
95-th percentile20190110
Maximum20220527
Range619402
Interquartile range (IQR)109998

Descriptive statistics

Standard deviation101680.08
Coefficient of variation (CV)0.0050792941
Kurtosis1.3124782
Mean20018545
Median Absolute Deviation (MAD)50709
Skewness-0.66081917
Sum6.3759065 × 1010
Variance1.0338838 × 1010
MonotonicityNot monotonic
2024-04-22T07:27:50.359450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19961221 113
 
3.5%
19961224 97
 
3.0%
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%
19771112 16
 
0.5%
Other values (2099) 2683
84.2%
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 (%)
20220527 1
< 0.1%
20220520 1
< 0.1%
20220506 1
< 0.1%
20220406 1
< 0.1%
20220405 1
< 0.1%
20220322 1
< 0.1%
20220315 1
< 0.1%
20220314 1
< 0.1%
20220304 1
< 0.1%
20220224 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
3
2256 
1
929 

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 2256
70.8%
1 929
29.2%

Length

2024-04-22T07:27:50.777706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:51.090905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2256
70.8%
1 929
29.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
폐업
2256 
영업/정상
929 

Length

Max length5
Median length2
Mean length2.8750392
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2256
70.8%
영업/정상 929
29.2%

Length

2024-04-22T07:27:51.434427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:51.756195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2256
70.8%
영업/정상 929
29.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2
2256 
1
929 

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 2256
70.8%
1 929
29.2%

Length

2024-04-22T07:27:52.091241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:52.404655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2256
70.8%
1 929
29.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
폐업
2256 
영업
929 

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 2256
70.8%
영업 929
29.2%

Length

2024-04-22T07:27:52.738008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:27:53.049792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2256
70.8%
영업 929
29.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1618
Distinct (%)71.7%
Missing929
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean20099779
Minimum19980506
Maximum20220518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:27:53.400027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980506
5-th percentile20030305
Q120041011
median20081208
Q320151117
95-th percentile20201214
Maximum20220518
Range240012
Interquartile range (IQR)110106.25

Descriptive statistics

Standard deviation61409.207
Coefficient of variation (CV)0.003055218
Kurtosis-1.1915474
Mean20099779
Median Absolute Deviation (MAD)49813.5
Skewness0.41197898
Sum4.5345101 × 1010
Variance3.7710906 × 109
MonotonicityNot monotonic
2024-04-22T07:27:53.847800image/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 (1608) 2071
65.0%
(Missing) 929
29.2%
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 (%)
20220518 1
< 0.1%
20220503 2
0.1%
20220419 2
0.1%
20220418 1
< 0.1%
20220411 1
< 0.1%
20220406 1
< 0.1%
20220330 1
< 0.1%
20220317 1
< 0.1%
20220228 1
< 0.1%
20220222 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB

소재지전화
Text

MISSING 

Distinct2082
Distinct (%)94.4%
Missing979
Missing (%)30.7%
Memory size25.0 KiB
2024-04-22T07:27:54.913720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.771079
Min length6

Characters and Unicode

Total characters23761
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

Unique1974 ?
Unique (%)89.5%

Sample

1st row053 2572955
2nd row053 2536037
3rd row053 4233939
4th row053 4236188
5th row053 2562176
ValueCountFrequency (%)
053 1920
41.9%
764 16
 
0.3%
763 11
 
0.2%
352 11
 
0.2%
791 10
 
0.2%
762 9
 
0.2%
956 9
 
0.2%
755 8
 
0.2%
754 8
 
0.2%
756 8
 
0.2%
Other values (2213) 2570
56.1%
2024-04-22T07:27:56.381466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2393
10.1%
2 1937
8.2%
6 1809
7.6%
7 1459
 
6.1%
4 1440
 
6.1%
1 1316
 
5.5%
8 1271
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21368
89.9%
Space Separator 2393
 
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 1809
8.5%
7 1459
 
6.8%
4 1440
 
6.7%
1 1316
 
6.2%
8 1271
 
5.9%
9 1267
 
5.9%
Space Separator
ValueCountFrequency (%)
2393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2393
10.1%
2 1937
8.2%
6 1809
7.6%
7 1459
 
6.1%
4 1440
 
6.1%
1 1316
 
5.5%
8 1271
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4376
18.4%
3 3557
15.0%
0 2936
12.4%
2393
10.1%
2 1937
8.2%
6 1809
7.6%
7 1459
 
6.1%
4 1440
 
6.1%
1 1316
 
5.5%
8 1271
 
5.3%
Distinct1398
Distinct (%)44.2%
Missing24
Missing (%)0.8%
Memory size25.0 KiB
2024-04-22T07:27:57.777865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length4.7744385
Min length3

Characters and Unicode

Total characters15092
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

Unique983 ?
Unique (%)31.1%

Sample

1st row6.20
2nd row39.60
3rd row56.10
4th row31.32
5th row4.32
ValueCountFrequency (%)
00 240
 
7.6%
16.50 60
 
1.9%
33.00 59
 
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 32
 
1.0%
18.00 30
 
0.9%
Other values (1388) 2540
80.4%
2024-04-22T07:27:59.601679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3347
22.2%
. 3161
20.9%
1 1463
9.7%
2 1444
9.6%
3 996
 
6.6%
5 953
 
6.3%
6 887
 
5.9%
4 813
 
5.4%
8 755
 
5.0%
9 684
 
4.5%
Other values (2) 589
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11927
79.0%
Other Punctuation 3165
 
21.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3347
28.1%
1 1463
12.3%
2 1444
12.1%
3 996
 
8.4%
5 953
 
8.0%
6 887
 
7.4%
4 813
 
6.8%
8 755
 
6.3%
9 684
 
5.7%
7 585
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 3161
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 15092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3347
22.2%
. 3161
20.9%
1 1463
9.7%
2 1444
9.6%
3 996
 
6.6%
5 953
 
6.3%
6 887
 
5.9%
4 813
 
5.4%
8 755
 
5.0%
9 684
 
4.5%
Other values (2) 589
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3347
22.2%
. 3161
20.9%
1 1463
9.7%
2 1444
9.6%
3 996
 
6.6%
5 953
 
6.3%
6 887
 
5.9%
4 813
 
5.4%
8 755
 
5.0%
9 684
 
4.5%
Other values (2) 589
 
3.9%

소재지우편번호
Real number (ℝ)

Distinct544
Distinct (%)17.1%
Missing9
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean704177.04
Minimum700010
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:00.024649image/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 deviation2486.4989
Coefficient of variation (CV)0.0035310707
Kurtosis1.7324169
Mean704177.04
Median Absolute Deviation (MAD)1965
Skewness1.0588712
Sum2.2364663 × 109
Variance6182676.7
MonotonicityNot monotonic
2024-04-22T07:28:00.471753image/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 30
 
0.9%
704932 25
 
0.8%
711852 23
 
0.7%
704834 23
 
0.7%
703805 22
 
0.7%
704904 22
 
0.7%
705809 22
 
0.7%
706839 21
 
0.7%
Other values (534) 2912
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%
Distinct2813
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2024-04-22T07:28:01.722211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length23.73281
Min length17

Characters and Unicode

Total characters75589
Distinct characters289
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

Unique2526 ?
Unique (%)79.3%

Sample

1st row대구광역시 중구 남산동 0693-0008번지 지상2층
2nd row대구광역시 중구 수창동 0099-0002번지
3rd row대구광역시 중구 대신동 0115-0005번지 지상2층
4th row대구광역시 중구 남산동 698-22번지
5th row대구광역시 중구 동산동 0360번지 지하1층
ValueCountFrequency (%)
대구광역시 3185
22.8%
달서구 622
 
4.5%
북구 516
 
3.7%
동구 513
 
3.7%
수성구 450
 
3.2%
서구 414
 
3.0%
남구 275
 
2.0%
중구 245
 
1.8%
대명동 202
 
1.4%
달성군 150
 
1.1%
Other values (3189) 7405
53.0%
2024-04-22T07:28:03.433326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13856
18.3%
6268
 
8.3%
3759
 
5.0%
1 3622
 
4.8%
3521
 
4.7%
3217
 
4.3%
3193
 
4.2%
3192
 
4.2%
3189
 
4.2%
- 2762
 
3.7%
Other values (279) 29010
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42038
55.6%
Decimal Number 16205
 
21.4%
Space Separator 13856
 
18.3%
Dash Punctuation 2762
 
3.7%
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 (%)
6268
14.9%
3759
 
8.9%
3521
 
8.4%
3217
 
7.7%
3193
 
7.6%
3192
 
7.6%
3189
 
7.6%
2753
 
6.5%
1105
 
2.6%
888
 
2.1%
Other values (252) 10953
26.1%
Decimal Number
ValueCountFrequency (%)
1 3622
22.4%
2 2195
13.5%
0 1954
12.1%
3 1574
9.7%
4 1413
 
8.7%
5 1264
 
7.8%
6 1095
 
6.8%
7 1069
 
6.6%
9 1028
 
6.3%
8 991
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
T 4
 
9.5%
P 4
 
9.5%
S 1
 
2.4%
L 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 (%)
13856
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2762
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 42037
55.6%
Common 33509
44.3%
Latin 42
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6268
14.9%
3759
 
8.9%
3521
 
8.4%
3217
 
7.7%
3193
 
7.6%
3192
 
7.6%
3189
 
7.6%
2753
 
6.5%
1105
 
2.6%
888
 
2.1%
Other values (251) 10952
26.1%
Common
ValueCountFrequency (%)
13856
41.4%
1 3622
 
10.8%
- 2762
 
8.2%
2 2195
 
6.6%
0 1954
 
5.8%
3 1574
 
4.7%
4 1413
 
4.2%
5 1264
 
3.8%
6 1095
 
3.3%
7 1069
 
3.2%
Other values (9) 2705
 
8.1%
Latin
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
T 4
 
9.5%
P 4
 
9.5%
S 1
 
2.4%
L 1
 
2.4%
C 1
 
2.4%
H 1
 
2.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42037
55.6%
ASCII 33551
44.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13856
41.3%
1 3622
 
10.8%
- 2762
 
8.2%
2 2195
 
6.5%
0 1954
 
5.8%
3 1574
 
4.7%
4 1413
 
4.2%
5 1264
 
3.8%
6 1095
 
3.3%
7 1069
 
3.2%
Other values (17) 2747
 
8.2%
Hangul
ValueCountFrequency (%)
6268
14.9%
3759
 
8.9%
3521
 
8.4%
3217
 
7.7%
3193
 
7.6%
3192
 
7.6%
3189
 
7.6%
2753
 
6.5%
1105
 
2.6%
888
 
2.1%
Other values (251) 10952
26.1%
CJK
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct1693
Distinct (%)95.4%
Missing1411
Missing (%)44.3%
Memory size25.0 KiB
2024-04-22T07:28:04.697028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length27.710823
Min length18

Characters and Unicode

Total characters49159
Distinct characters308
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

Unique1627 ?
Unique (%)91.7%

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 1774
 
17.8%
달서구 336
 
3.4%
1층 296
 
3.0%
동구 291
 
2.9%
북구 287
 
2.9%
수성구 252
 
2.5%
서구 206
 
2.1%
남구 169
 
1.7%
중구 135
 
1.4%
대명동 120
 
1.2%
Other values (2044) 6124
61.3%
2024-04-22T07:28:06.257933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8216
 
16.7%
3649
 
7.4%
2368
 
4.8%
2261
 
4.6%
1 2006
 
4.1%
1809
 
3.7%
) 1795
 
3.7%
( 1795
 
3.7%
1781
 
3.6%
1777
 
3.6%
Other values (298) 21702
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28444
57.9%
Space Separator 8216
 
16.7%
Decimal Number 7597
 
15.5%
Close Punctuation 1795
 
3.7%
Open Punctuation 1795
 
3.7%
Other Punctuation 960
 
2.0%
Dash Punctuation 317
 
0.6%
Uppercase Letter 34
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3649
 
12.8%
2368
 
8.3%
2261
 
7.9%
1809
 
6.4%
1781
 
6.3%
1777
 
6.2%
1692
 
5.9%
979
 
3.4%
731
 
2.6%
703
 
2.5%
Other values (272) 10694
37.6%
Decimal Number
ValueCountFrequency (%)
1 2006
26.4%
2 1127
14.8%
3 885
11.6%
0 627
 
8.3%
4 624
 
8.2%
5 543
 
7.1%
6 522
 
6.9%
7 474
 
6.2%
8 414
 
5.4%
9 375
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 15
44.1%
B 11
32.4%
P 2
 
5.9%
E 2
 
5.9%
T 2
 
5.9%
H 1
 
2.9%
S 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 957
99.7%
. 1
 
0.1%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28444
57.9%
Common 20681
42.1%
Latin 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3649
 
12.8%
2368
 
8.3%
2261
 
7.9%
1809
 
6.4%
1781
 
6.3%
1777
 
6.2%
1692
 
5.9%
979
 
3.4%
731
 
2.6%
703
 
2.5%
Other values (272) 10694
37.6%
Common
ValueCountFrequency (%)
8216
39.7%
1 2006
 
9.7%
) 1795
 
8.7%
( 1795
 
8.7%
2 1127
 
5.4%
, 957
 
4.6%
3 885
 
4.3%
0 627
 
3.0%
4 624
 
3.0%
5 543
 
2.6%
Other values (9) 2106
 
10.2%
Latin
ValueCountFrequency (%)
A 15
44.1%
B 11
32.4%
P 2
 
5.9%
E 2
 
5.9%
T 2
 
5.9%
H 1
 
2.9%
S 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28444
57.9%
ASCII 20715
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8216
39.7%
1 2006
 
9.7%
) 1795
 
8.7%
( 1795
 
8.7%
2 1127
 
5.4%
, 957
 
4.6%
3 885
 
4.3%
0 627
 
3.0%
4 624
 
3.0%
5 543
 
2.6%
Other values (16) 2140
 
10.3%
Hangul
ValueCountFrequency (%)
3649
 
12.8%
2368
 
8.3%
2261
 
7.9%
1809
 
6.4%
1781
 
6.3%
1777
 
6.2%
1692
 
5.9%
979
 
3.4%
731
 
2.6%
703
 
2.5%
Other values (272) 10694
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct849
Distinct (%)48.5%
Missing1436
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean42009.458
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:06.507357image/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 deviation577.49612
Coefficient of variation (CV)0.013746812
Kurtosis-1.1927893
Mean42009.458
Median Absolute Deviation (MAD)498
Skewness0.0021301341
Sum73474542
Variance333501.76
MonotonicityNot monotonic
2024-04-22T07:28:06.772966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42612 9
 
0.3%
41558 9
 
0.3%
41465 8
 
0.3%
42632 8
 
0.3%
41913 8
 
0.3%
41947 7
 
0.2%
41122 7
 
0.2%
42946 7
 
0.2%
42653 7
 
0.2%
42400 7
 
0.2%
Other values (839) 1672
52.5%
(Missing) 1436
45.1%
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%
Distinct2024
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2024-04-22T07:28:07.727553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length5
Mean length5.0854003
Min length1

Characters and Unicode

Total characters16197
Distinct characters513
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

Unique1537 ?
Unique (%)48.3%

Sample

1st row아미가
2nd row월드
3rd row서남이용소
4th row
5th row엘디스리젠트
ValueCountFrequency (%)
이용소 37
 
1.1%
현대이용소 26
 
0.8%
대성이용소 25
 
0.8%
명성이용소 20
 
0.6%
그린이용소 17
 
0.5%
삼성이용소 17
 
0.5%
동원이용소 15
 
0.5%
블루클럽 15
 
0.5%
보성이용소 13
 
0.4%
대동이용소 12
 
0.4%
Other values (1985) 3082
94.0%
2024-04-22T07:28:08.931998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2279
 
14.1%
2209
 
13.6%
2118
 
13.1%
343
 
2.1%
293
 
1.8%
203
 
1.3%
184
 
1.1%
175
 
1.1%
175
 
1.1%
158
 
1.0%
Other values (503) 8060
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15716
97.0%
Space Separator 175
 
1.1%
Uppercase Letter 113
 
0.7%
Lowercase Letter 66
 
0.4%
Close Punctuation 38
 
0.2%
Open Punctuation 38
 
0.2%
Decimal Number 35
 
0.2%
Other Punctuation 14
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2279
 
14.5%
2209
 
14.1%
2118
 
13.5%
343
 
2.2%
293
 
1.9%
203
 
1.3%
184
 
1.2%
175
 
1.1%
158
 
1.0%
150
 
1.0%
Other values (445) 7604
48.4%
Uppercase Letter
ValueCountFrequency (%)
B 11
 
9.7%
S 10
 
8.8%
A 10
 
8.8%
E 9
 
8.0%
T 8
 
7.1%
M 7
 
6.2%
R 7
 
6.2%
O 7
 
6.2%
I 5
 
4.4%
L 5
 
4.4%
Other values (13) 34
30.1%
Lowercase Letter
ValueCountFrequency (%)
a 8
12.1%
r 8
12.1%
o 8
12.1%
s 6
9.1%
n 6
9.1%
b 5
7.6%
e 5
7.6%
h 5
7.6%
l 3
 
4.5%
p 3
 
4.5%
Other values (7) 9
13.6%
Decimal Number
ValueCountFrequency (%)
8 8
22.9%
1 8
22.9%
3 6
17.1%
2 5
14.3%
0 4
11.4%
4 2
 
5.7%
9 1
 
2.9%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 7
50.0%
' 4
28.6%
, 1
 
7.1%
· 1
 
7.1%
& 1
 
7.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15716
97.0%
Common 300
 
1.9%
Latin 181
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2279
 
14.5%
2209
 
14.1%
2118
 
13.5%
343
 
2.2%
293
 
1.9%
203
 
1.3%
184
 
1.2%
175
 
1.1%
158
 
1.0%
150
 
1.0%
Other values (445) 7604
48.4%
Latin
ValueCountFrequency (%)
B 11
 
6.1%
S 10
 
5.5%
A 10
 
5.5%
E 9
 
5.0%
a 8
 
4.4%
r 8
 
4.4%
o 8
 
4.4%
T 8
 
4.4%
M 7
 
3.9%
R 7
 
3.9%
Other values (32) 95
52.5%
Common
ValueCountFrequency (%)
175
58.3%
) 38
 
12.7%
( 38
 
12.7%
8 8
 
2.7%
1 8
 
2.7%
. 7
 
2.3%
3 6
 
2.0%
2 5
 
1.7%
' 4
 
1.3%
0 4
 
1.3%
Other values (6) 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15716
97.0%
ASCII 478
 
3.0%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2279
 
14.5%
2209
 
14.1%
2118
 
13.5%
343
 
2.2%
293
 
1.9%
203
 
1.3%
184
 
1.2%
175
 
1.1%
158
 
1.0%
150
 
1.0%
Other values (445) 7604
48.4%
ASCII
ValueCountFrequency (%)
175
36.6%
) 38
 
7.9%
( 38
 
7.9%
B 11
 
2.3%
S 10
 
2.1%
A 10
 
2.1%
E 9
 
1.9%
a 8
 
1.7%
r 8
 
1.7%
8 8
 
1.7%
Other values (45) 163
34.1%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

최종수정시점
Real number (ℝ)

Distinct2471
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0110531 × 1013
Minimum2.0011006 × 1013
Maximum2.0220527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:09.182590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0011006 × 1013
5-th percentile2.0021011 × 1013
Q12.0040325 × 1013
median2.010121 × 1013
Q32.0180601 × 1013
95-th percentile2.0211007 × 1013
Maximum2.0220527 × 1013
Range2.0952115 × 1011
Interquartile range (IQR)1.4027614 × 1011

Descriptive statistics

Standard deviation6.8114022 × 1010
Coefficient of variation (CV)0.0033869828
Kurtosis-1.477131
Mean2.0110531 × 1013
Median Absolute Deviation (MAD)6.9597023 × 1010
Skewness0.16658216
Sum6.4052041 × 1016
Variance4.63952 × 1021
MonotonicityNot monotonic
2024-04-22T07:28:09.421231image/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
 
0.8%
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 (2461) 2922
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
0.8%
20020417000000 8
 
0.3%
20020418000000 3
 
0.1%
20020508000000 1
 
< 0.1%
20020510000000 1
 
< 0.1%
ValueCountFrequency (%)
20220527151137 1
< 0.1%
20220520104106 1
< 0.1%
20220519183339 1
< 0.1%
20220519153117 1
< 0.1%
20220518100735 1
< 0.1%
20220516110216 1
< 0.1%
20220512132347 1
< 0.1%
20220503134946 1
< 0.1%
20220502182100 1
< 0.1%
20220428164238 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
I
2467 
U
718 

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 2467
77.5%
U 718
 
22.5%

Length

2024-04-22T07:28:09.646219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:09.815683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2467
77.5%
u 718
 
22.5%
Distinct473
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-29 00:22:32
2024-04-22T07:28:10.007674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T07:28:10.583365image/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 size25.0 KiB
일반이용업
3148 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.011617
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3148
98.8%
이용업 기타 37
 
1.2%

Length

2024-04-22T07:28:10.812916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:10.991753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3148
97.7%
이용업 37
 
1.1%
기타 37
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2351
Distinct (%)77.4%
Missing147
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean343048.71
Minimum327551.87
Maximum356728.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:11.178457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327551.87
5-th percentile335204.88
Q1339876.01
median342647.21
Q3346246.03
95-th percentile352614.95
Maximum356728.78
Range29176.904
Interquartile range (IQR)6370.0273

Descriptive statistics

Standard deviation4892.2116
Coefficient of variation (CV)0.014260982
Kurtosis0.46273713
Mean343048.71
Median Absolute Deviation (MAD)3105.6055
Skewness0.061769648
Sum1.042182 × 109
Variance23933734
MonotonicityNot monotonic
2024-04-22T07:28:11.419241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342056.356661 10
 
0.3%
342355.950931 8
 
0.3%
338881.747008 8
 
0.3%
342647.200755 7
 
0.2%
344046.261885 7
 
0.2%
335728.273517 7
 
0.2%
339440.669923 6
 
0.2%
354615.507123 6
 
0.2%
346440.105797 6
 
0.2%
341168.269806 6
 
0.2%
Other values (2341) 2967
93.2%
(Missing) 147
 
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 (%)
356728.776845 1
< 0.1%
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%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2351
Distinct (%)77.4%
Missing147
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean263529.64
Minimum238769.81
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:11.671839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257673.88
Q1261590.45
median263734.73
Q3265719.39
95-th percentile270315.12
Maximum278091.65
Range39321.841
Interquartile range (IQR)4128.9442

Descriptive statistics

Standard deviation4161.0747
Coefficient of variation (CV)0.015789779
Kurtosis6.0491069
Mean263529.64
Median Absolute Deviation (MAD)2065.4207
Skewness-1.2086263
Sum8.0060304 × 108
Variance17314543
MonotonicityNot monotonic
2024-04-22T07:28:11.940268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261454.668093 10
 
0.3%
261485.129229 8
 
0.3%
261852.136016 8
 
0.3%
261846.398048 7
 
0.2%
261742.707245 7
 
0.2%
262684.165543 7
 
0.2%
261637.957404 6
 
0.2%
264736.879631 6
 
0.2%
267083.375924 6
 
0.2%
260524.377358 6
 
0.2%
Other values (2341) 2967
93.2%
(Missing) 147
 
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 size25.0 KiB
일반이용업
3148 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.011617
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3148
98.8%
이용업 기타 37
 
1.2%

Length

2024-04-22T07:28:12.190840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:12.365287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3148
97.7%
이용업 37
 
1.1%
기타 37
 
1.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.8%
Missing586
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean2.5440554
Minimum0
Maximum35
Zeros643
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:12.530328image/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 deviation2.4959325
Coefficient of variation (CV)0.98108416
Kurtosis37.622372
Mean2.5440554
Median Absolute Deviation (MAD)2
Skewness3.9160642
Sum6612
Variance6.2296789
MonotonicityNot monotonic
2024-04-22T07:28:12.738209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 643
20.2%
3 557
17.5%
2 519
16.3%
4 334
10.5%
5 217
 
6.8%
1 179
 
5.6%
6 56
 
1.8%
7 31
 
1.0%
9 23
 
0.7%
10 14
 
0.4%
Other values (11) 26
 
0.8%
(Missing) 586
18.4%
ValueCountFrequency (%)
0 643
20.2%
1 179
 
5.6%
2 519
16.3%
3 557
17.5%
4 334
10.5%
5 217
 
6.8%
6 56
 
1.8%
7 31
 
1.0%
8 10
 
0.3%
9 23
 
0.7%
ValueCountFrequency (%)
35 2
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%
Missing949
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean0.55232558
Minimum0
Maximum9
Zeros1208
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:12.942903image/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 deviation0.7658476
Coefficient of variation (CV)1.3865872
Kurtosis19.109006
Mean0.55232558
Median Absolute Deviation (MAD)0
Skewness3.0150026
Sum1235
Variance0.58652255
MonotonicityNot monotonic
2024-04-22T07:28:13.124119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1208
37.9%
1 901
28.3%
2 94
 
3.0%
4 14
 
0.4%
3 9
 
0.3%
5 3
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
9 1
 
< 0.1%
(Missing) 949
29.8%
ValueCountFrequency (%)
0 1208
37.9%
1 901
28.3%
2 94
 
3.0%
3 9
 
0.3%
4 14
 
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 14
 
0.4%
3 9
 
0.3%
2 94
 
3.0%
1 901
28.3%
0 1208
37.9%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.4%
Missing818
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean1.3084073
Minimum0
Maximum9
Zeros529
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:13.310091image/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 deviation1.224376
Coefficient of variation (CV)0.93577593
Kurtosis5.5368642
Mean1.3084073
Median Absolute Deviation (MAD)1
Skewness1.8476346
Sum3097
Variance1.4990967
MonotonicityNot monotonic
2024-04-22T07:28:13.490283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 1138
35.7%
0 529
16.6%
2 372
 
11.7%
3 205
 
6.4%
4 70
 
2.2%
5 25
 
0.8%
6 12
 
0.4%
8 9
 
0.3%
7 6
 
0.2%
9 1
 
< 0.1%
(Missing) 818
25.7%
ValueCountFrequency (%)
0 529
16.6%
1 1138
35.7%
2 372
 
11.7%
3 205
 
6.4%
4 70
 
2.2%
5 25
 
0.8%
6 12
 
0.4%
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 12
 
0.4%
5 25
 
0.8%
4 70
 
2.2%
3 205
 
6.4%
2 372
 
11.7%
1 1138
35.7%
0 529
16.6%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1052
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean1.4360056
Minimum0
Maximum8
Zeros306
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:13.672291image/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 deviation1.1965622
Coefficient of variation (CV)0.83325733
Kurtosis5.3222546
Mean1.4360056
Median Absolute Deviation (MAD)0
Skewness1.8564761
Sum3063
Variance1.4317611
MonotonicityNot monotonic
2024-04-22T07:28:13.871714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1138
35.7%
2 370
 
11.6%
0 306
 
9.6%
3 195
 
6.1%
4 69
 
2.2%
5 28
 
0.9%
6 13
 
0.4%
8 8
 
0.3%
7 6
 
0.2%
(Missing) 1052
33.0%
ValueCountFrequency (%)
0 306
 
9.6%
1 1138
35.7%
2 370
 
11.6%
3 195
 
6.1%
4 69
 
2.2%
5 28
 
0.9%
6 13
 
0.4%
7 6
 
0.2%
8 8
 
0.3%
ValueCountFrequency (%)
8 8
 
0.3%
7 6
 
0.2%
6 13
 
0.4%
5 28
 
0.9%
4 69
 
2.2%
3 195
 
6.1%
2 370
 
11.6%
1 1138
35.7%
0 306
 
9.6%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1581 
<NA>
1407 
1
191 
2
 
5
6
 
1

Length

Max length4
Median length1
Mean length2.3252747
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1581
49.6%
<NA> 1407
44.2%
1 191
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-04-22T07:28:14.109252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:14.306730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1581
49.6%
na 1407
44.2%
1 191
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1715 
0
1233 
1
231 
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length2.6153846
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1715
53.8%
0 1233
38.7%
1 231
 
7.3%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2024-04-22T07:28:14.523866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:14.721161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1715
53.8%
0 1233
38.7%
1 231
 
7.3%
2 5
 
0.2%
6 1
 
< 0.1%

한실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1861 
<NA>
1324 

Length

Max length4
Median length1
Mean length2.2470958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1861
58.4%
<NA> 1324
41.6%

Length

2024-04-22T07:28:14.934584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:15.117545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1861
58.4%
na 1324
41.6%

양실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1861 
<NA>
1324 

Length

Max length4
Median length1
Mean length2.2470958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1861
58.4%
<NA> 1324
41.6%

Length

2024-04-22T07:28:15.310136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:15.493439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1861
58.4%
na 1324
41.6%

욕실수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1860 
<NA>
1324 
2
 
1

Length

Max length4
Median length1
Mean length2.2470958
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1860
58.4%
<NA> 1324
41.6%
2 1
 
< 0.1%

Length

2024-04-22T07:28:15.688614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:15.876183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1860
58.4%
na 1324
41.6%
2 1
 
< 0.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing43
Missing (%)1.4%
Memory size6.3 KiB
False
3142 
(Missing)
 
43
ValueCountFrequency (%)
False 3142
98.6%
(Missing) 43
 
1.4%
2024-04-22T07:28:16.026248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.6%
Missing349
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean3.498237
Minimum0
Maximum18
Zeros165
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:16.174688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5125429
Coefficient of variation (CV)0.71823118
Kurtosis1.9273583
Mean3.498237
Median Absolute Deviation (MAD)1
Skewness1.3576294
Sum9921
Variance6.3128717
MonotonicityNot monotonic
2024-04-22T07:28:16.387400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 740
23.2%
2 673
21.1%
4 369
11.6%
1 273
 
8.6%
0 165
 
5.2%
5 130
 
4.1%
6 106
 
3.3%
8 98
 
3.1%
7 96
 
3.0%
9 92
 
2.9%
Other values (6) 94
 
3.0%
(Missing) 349
11.0%
ValueCountFrequency (%)
0 165
 
5.2%
1 273
 
8.6%
2 673
21.1%
3 740
23.2%
4 369
11.6%
5 130
 
4.1%
6 106
 
3.3%
7 96
 
3.0%
8 98
 
3.1%
9 92
 
2.9%
ValueCountFrequency (%)
18 1
 
< 0.1%
15 2
 
0.1%
13 4
 
0.1%
12 22
 
0.7%
11 22
 
0.7%
10 43
1.4%
9 92
2.9%
8 98
3.1%
7 96
3.0%
6 106
3.3%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3185
Missing (%)100.0%
Memory size28.1 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1630 
임대
1414 
자가
 
141

Length

Max length4
Median length4
Mean length3.0235479
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1630
51.2%
임대 1414
44.4%
자가 141
 
4.4%

Length

2024-04-22T07:28:16.635617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:16.834879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1630
51.2%
임대 1414
44.4%
자가 141
 
4.4%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1673 
0
1512 

Length

Max length4
Median length4
Mean length2.5758242
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1673
52.5%
0 1512
47.5%

Length

2024-04-22T07:28:17.034641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:17.222122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1673
52.5%
0 1512
47.5%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
2735 
0
340 
1
 
105
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.5761381
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> 2735
85.9%
0 340
 
10.7%
1 105
 
3.3%
2 4
 
0.1%
3 1
 
< 0.1%

Length

2024-04-22T07:28:17.408675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:17.602169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2735
85.9%
0 340
 
10.7%
1 105
 
3.3%
2 4
 
0.1%
3 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
2631 
0
285 
1
264 
2
 
5

Length

Max length4
Median length4
Mean length3.478179
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> 2631
82.6%
0 285
 
8.9%
1 264
 
8.3%
2 5
 
0.2%

Length

2024-04-22T07:28:17.805790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:17.997970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2631
82.6%
0 285
 
8.9%
1 264
 
8.3%
2 5
 
0.2%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1778 
0
1407 

Length

Max length4
Median length4
Mean length2.6747253
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1778
55.8%
0 1407
44.2%

Length

2024-04-22T07:28:18.205025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:28:18.393872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1778
55.8%
0 1407
44.2%

침대수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing1790
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean0.056630824
Minimum0
Maximum8
Zeros1379
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2024-04-22T07:28:18.549018image/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 deviation0.59198749
Coefficient of variation (CV)10.45345
Kurtosis130.71821
Mean0.056630824
Median Absolute Deviation (MAD)0
Skewness11.308516
Sum79
Variance0.35044919
MonotonicityNot monotonic
2024-04-22T07:28:18.754168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1379
43.3%
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) 1790
56.2%
ValueCountFrequency (%)
0 1379
43.3%
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 1379
43.3%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
False
3184 
True
 
1
ValueCountFrequency (%)
False 3184
> 99.9%
True 1
 
< 0.1%
2024-04-22T07:28:18.947951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01이용업05_19_01_P34100003410000-203-2010-0000420101025<NA>3폐업2폐업20101215<NA><NA><NA><NA>6.20700802대구광역시 중구 남산동 0693-0008번지 지상2층<NA><NA>아미가20101028091811I2018-08-31 23:59:59.0일반이용업343879.713037263432.678243일반이용업002200000N2<NA><NA><NA>임대0<NA><NA>00N
12이용업05_19_01_P34100003410000-203-2001-0000120010326<NA>3폐업2폐업20110120<NA><NA><NA>053 257295539.60700850대구광역시 중구 수창동 0099-0002번지<NA><NA>월드20101026121254I2018-08-31 23:59:59.0일반이용업343287.506361264938.059384일반이용업31<NA><NA>11<NA><NA><NA>N8<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
23이용업05_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
34이용업05_19_01_P34100003410000-203-1982-0000419820818<NA>3폐업2폐업20090817<NA><NA><NA>053 253603731.32700832대구광역시 중구 남산동 698-22번지<NA><NA>20081021113237I2018-08-31 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
45이용업05_19_01_P34100003410000-203-2008-0000520080918<NA>3폐업2폐업20101015<NA><NA><NA><NA>4.32700821대구광역시 중구 동산동 0360번지 지하1층<NA><NA>엘디스리젠트20090310140131I2018-08-31 23:59:59.0일반이용업343184.151781264080.683793일반이용업810011000N1<NA><NA><NA>임대0<NA><NA><NA><NA>N
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