Overview

Dataset statistics

Number of variables50
Number of observations3178
Missing cells32910
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

Description22년03월_6270000_대구광역시_05_19_01_P_이용업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092673&dataSetDetailId=DDI_0000092700&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 (70.0%)Imbalance
남성종사자수 is highly imbalanced (58.2%)Imbalance
다중이용업소여부 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3178 (100.0%) missing valuesMissing
폐업일자 has 930 (29.3%) missing valuesMissing
휴업시작일자 has 3178 (100.0%) missing valuesMissing
휴업종료일자 has 3178 (100.0%) missing valuesMissing
재개업일자 has 3178 (100.0%) missing valuesMissing
소재지전화 has 973 (30.6%) missing valuesMissing
도로명전체주소 has 1411 (44.4%) missing valuesMissing
도로명우편번호 has 1435 (45.2%) 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 (29.9%) missing valuesMissing
사용시작지상층 has 818 (25.7%) missing valuesMissing
사용끝지상층 has 1052 (33.1%) missing valuesMissing
발한실여부 has 43 (1.4%) missing valuesMissing
의자수 has 349 (11.0%) missing valuesMissing
조건부허가신고사유 has 3178 (100.0%) missing valuesMissing
조건부허가시작일자 has 3178 (100.0%) missing valuesMissing
조건부허가종료일자 has 3178 (100.0%) missing valuesMissing
침대수 has 1791 (56.4%) 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 642 (20.2%) zerosZeros
건물지하층수 has 1201 (37.8%) zerosZeros
사용시작지상층 has 527 (16.6%) zerosZeros
사용끝지상층 has 305 (9.6%) zerosZeros
의자수 has 164 (5.2%) zerosZeros
침대수 has 1371 (43.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:50:24.694201
Analysis finished2023-12-10 18:50:27.075564
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1589.5
Minimum1
Maximum3178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:27.222306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile159.85
Q1795.25
median1589.5
Q32383.75
95-th percentile3019.15
Maximum3178
Range3177
Interquartile range (IQR)1588.5

Descriptive statistics

Standard deviation917.5539
Coefficient of variation (CV)0.57725946
Kurtosis-1.2
Mean1589.5
Median Absolute Deviation (MAD)794.5
Skewness0
Sum5051431
Variance841905.17
MonotonicityStrictly increasing
2023-12-11T03:50:27.472311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2112 1
 
< 0.1%
2114 1
 
< 0.1%
2115 1
 
< 0.1%
2116 1
 
< 0.1%
2117 1
 
< 0.1%
2118 1
 
< 0.1%
2119 1
 
< 0.1%
2120 1
 
< 0.1%
2121 1
 
< 0.1%
Other values (3168) 3168
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 (%)
3178 1
< 0.1%
3177 1
< 0.1%
3176 1
< 0.1%
3175 1
< 0.1%
3174 1
< 0.1%
3173 1
< 0.1%
3172 1
< 0.1%
3171 1
< 0.1%
3170 1
< 0.1%
3169 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
이용업
3178 

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 3178
100.0%

Length

2023-12-11T03:50:27.750715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:27.959651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 3178
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
05_19_01_P
3178 

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 3178
100.0%

Length

2023-12-11T03:50:28.140368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:28.312209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_19_01_p 3178
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445365
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:28.446410image/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 deviation21004.268
Coefficient of variation (CV)0.006096384
Kurtosis-1.2540834
Mean3445365
Median Absolute Deviation (MAD)20000
Skewness-0.12796631
Sum1.094937 × 1010
Variance4.4117929 × 108
MonotonicityIncreasing
2023-12-11T03:50:28.661381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 622
19.6%
3450000 516
16.2%
3420000 511
16.1%
3460000 449
14.1%
3430000 413
13.0%
3440000 275
8.7%
3410000 244
 
7.7%
3480000 148
 
4.7%
ValueCountFrequency (%)
3410000 244
 
7.7%
3420000 511
16.1%
3430000 413
13.0%
3440000 275
8.7%
3450000 516
16.2%
3460000 449
14.1%
3470000 622
19.6%
3480000 148
 
4.7%
ValueCountFrequency (%)
3480000 148
 
4.7%
3470000 622
19.6%
3460000 449
14.1%
3450000 516
16.2%
3440000 275
8.7%
3430000 413
13.0%
3420000 511
16.1%
3410000 244
 
7.7%

관리번호
Text

UNIQUE 

Distinct3178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T03:50:28.969109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters69916
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

Unique3178 ?
Unique (%)100.0%

Sample

1st row3410000-203-2001-00001
2nd row3410000-203-2010-00005
3rd row3410000-203-1982-00004
4th row3410000-203-2008-00005
5th row3410000-203-2004-00004
ValueCountFrequency (%)
3410000-203-2001-00001 1
 
< 0.1%
3460000-203-1999-00023 1
 
< 0.1%
3460000-203-1998-00016 1
 
< 0.1%
3460000-203-2000-00057 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%
Other values (3168) 3168
99.7%
2023-12-11T03:50:29.527844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30877
44.2%
- 9534
 
13.6%
3 7817
 
11.2%
2 6699
 
9.6%
4 4164
 
6.0%
1 3552
 
5.1%
9 2613
 
3.7%
7 1388
 
2.0%
6 1268
 
1.8%
5 1092
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60382
86.4%
Dash Punctuation 9534
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30877
51.1%
3 7817
 
12.9%
2 6699
 
11.1%
4 4164
 
6.9%
1 3552
 
5.9%
9 2613
 
4.3%
7 1388
 
2.3%
6 1268
 
2.1%
5 1092
 
1.8%
8 912
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9534
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69916
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30877
44.2%
- 9534
 
13.6%
3 7817
 
11.2%
2 6699
 
9.6%
4 4164
 
6.0%
1 3552
 
5.1%
9 2613
 
3.7%
7 1388
 
2.0%
6 1268
 
1.8%
5 1092
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30877
44.2%
- 9534
 
13.6%
3 7817
 
11.2%
2 6699
 
9.6%
4 4164
 
6.0%
1 3552
 
5.1%
9 2613
 
3.7%
7 1388
 
2.0%
6 1268
 
1.8%
5 1092
 
1.6%

인허가일자
Real number (ℝ)

Distinct2104
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20018191
Minimum19601125
Maximum20220322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:29.802375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601125
5-th percentile19810720
Q119970120
median20020828
Q320080106
95-th percentile20181221
Maximum20220322
Range619197
Interquartile range (IQR)109986.25

Descriptive statistics

Standard deviation101443.13
Coefficient of variation (CV)0.0050675474
Kurtosis1.3271496
Mean20018191
Median Absolute Deviation (MAD)50708.5
Skewness-0.66974542
Sum6.3617812 × 1010
Variance1.0290709 × 1010
MonotonicityNot monotonic
2023-12-11T03:50:30.047181image/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%
19771112 16
 
0.5%
Other values (2094) 2676
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 (%)
20220322 1
< 0.1%
20220315 1
< 0.1%
20220314 1
< 0.1%
20220304 1
< 0.1%
20220224 1
< 0.1%
20220222 1
< 0.1%
20220221 1
< 0.1%
20220215 1
< 0.1%
20220117 1
< 0.1%
20220104 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
3
2248 
1
930 

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 2248
70.7%
1 930
29.3%

Length

2023-12-11T03:50:30.273766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:30.414017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2248
70.7%
1 930
29.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
폐업
2248 
영업/정상
930 

Length

Max length5
Median length2
Mean length2.8779106
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2248
70.7%
영업/정상 930
29.3%

Length

2023-12-11T03:50:30.591013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:30.739513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2248
70.7%
영업/정상 930
29.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2
2248 
1
930 

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 2248
70.7%
1 930
29.3%

Length

2023-12-11T03:50:30.903697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:31.054717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2248
70.7%
1 930
29.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
폐업
2248 
영업
930 

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 2248
70.7%
영업 930
29.3%

Length

2023-12-11T03:50:31.230250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:31.378534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2248
70.7%
영업 930
29.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct1612
Distinct (%)71.7%
Missing930
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean20099349
Minimum19980506
Maximum20220330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:31.575993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980506
5-th percentile20030304
Q120041010
median20081124
Q320151020
95-th percentile20201124
Maximum20220330
Range239824
Interquartile range (IQR)110010

Descriptive statistics

Standard deviation61094.102
Coefficient of variation (CV)0.0030396059
Kurtosis-1.1902566
Mean20099349
Median Absolute Deviation (MAD)49885.5
Skewness0.41352486
Sum4.5183338 × 1010
Variance3.7324893 × 109
MonotonicityNot monotonic
2023-12-11T03:50:31.823061image/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%
20050117 11
 
0.3%
20031226 11
 
0.3%
20031128 10
 
0.3%
20031230 10
 
0.3%
20031222 9
 
0.3%
Other values (1602) 2063
64.9%
(Missing) 930
29.3%
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 (%)
20220330 1
< 0.1%
20220317 1
< 0.1%
20220228 1
< 0.1%
20220222 1
< 0.1%
20220218 2
0.1%
20220216 1
< 0.1%
20220209 1
< 0.1%
20220208 1
< 0.1%
20220203 1
< 0.1%
20220121 2
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

소재지전화
Text

MISSING 

Distinct2082
Distinct (%)94.4%
Missing973
Missing (%)30.6%
Memory size25.0 KiB
2023-12-11T03:50:32.274299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.770522
Min length6

Characters and Unicode

Total characters23749
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

Unique1975 ?
Unique (%)89.6%

Sample

1st row053 2572955
2nd row053 2536037
3rd row053 4233939
4th row053 4236188
5th row053 2562176
ValueCountFrequency (%)
053 1919
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%
755 8
 
0.2%
754 8
 
0.2%
756 8
 
0.2%
Other values (2213) 2568
56.1%
2023-12-11T03:50:32.924301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4374
18.4%
3 3556
15.0%
0 2934
12.4%
2391
10.1%
2 1936
8.2%
6 1809
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1271
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21358
89.9%
Space Separator 2391
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4374
20.5%
3 3556
16.6%
0 2934
13.7%
2 1936
9.1%
6 1809
8.5%
7 1458
 
6.8%
4 1440
 
6.7%
1 1315
 
6.2%
8 1271
 
6.0%
9 1265
 
5.9%
Space Separator
ValueCountFrequency (%)
2391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23749
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4374
18.4%
3 3556
15.0%
0 2934
12.4%
2391
10.1%
2 1936
8.2%
6 1809
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1271
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4374
18.4%
3 3556
15.0%
0 2934
12.4%
2391
10.1%
2 1936
8.2%
6 1809
7.6%
7 1458
 
6.1%
4 1440
 
6.1%
1 1315
 
5.5%
8 1271
 
5.4%

소재지면적
Text

Distinct1392
Distinct (%)44.1%
Missing24
Missing (%)0.8%
Memory size25.0 KiB
2023-12-11T03:50:33.436140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length4.7736208
Min length3

Characters and Unicode

Total characters15056
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 (%)30.9%

Sample

1st row39.60
2nd row56.10
3rd row31.32
4th row4.32
5th row102.00
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 31
 
1.0%
18.00 30
 
1.0%
Other values (1382) 2534
80.3%
2023-12-11T03:50:34.142936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3343
22.2%
. 3154
20.9%
1 1461
9.7%
2 1440
9.6%
3 996
 
6.6%
5 950
 
6.3%
6 884
 
5.9%
4 808
 
5.4%
8 754
 
5.0%
9 677
 
4.5%
Other values (2) 589
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11898
79.0%
Other Punctuation 3158
 
21.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3343
28.1%
1 1461
12.3%
2 1440
12.1%
3 996
 
8.4%
5 950
 
8.0%
6 884
 
7.4%
4 808
 
6.8%
8 754
 
6.3%
9 677
 
5.7%
7 585
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 3154
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 15056
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3343
22.2%
. 3154
20.9%
1 1461
9.7%
2 1440
9.6%
3 996
 
6.6%
5 950
 
6.3%
6 884
 
5.9%
4 808
 
5.4%
8 754
 
5.0%
9 677
 
4.5%
Other values (2) 589
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3343
22.2%
. 3154
20.9%
1 1461
9.7%
2 1440
9.6%
3 996
 
6.6%
5 950
 
6.3%
6 884
 
5.9%
4 808
 
5.4%
8 754
 
5.0%
9 677
 
4.5%
Other values (2) 589
 
3.9%

소재지우편번호
Real number (ℝ)

Distinct544
Distinct (%)17.2%
Missing9
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean704172.88
Minimum700010
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:34.349518image/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 deviation2479.7154
Coefficient of variation (CV)0.0035214582
Kurtosis1.7416615
Mean704172.88
Median Absolute Deviation (MAD)1965
Skewness1.0574714
Sum2.2315239 × 109
Variance6148988.3
MonotonicityNot monotonic
2023-12-11T03:50:34.567993image/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%
704834 23
 
0.7%
704904 22
 
0.7%
705809 22
 
0.7%
711852 22
 
0.7%
703805 22
 
0.7%
706839 21
 
0.7%
Other values (534) 2906
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

Distinct2806
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T03:50:35.041086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length23.73348
Min length17

Characters and Unicode

Total characters75425
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

Unique2519 ?
Unique (%)79.3%

Sample

1st row대구광역시 중구 수창동 0099-0002번지
2nd row대구광역시 중구 대신동 0115-0005번지 지상2층
3rd row대구광역시 중구 남산동 698-22번지
4th row대구광역시 중구 동산동 0360번지 지하1층
5th row대구광역시 중구 전동 0035번지
ValueCountFrequency (%)
대구광역시 3178
22.8%
달서구 622
 
4.5%
북구 516
 
3.7%
동구 512
 
3.7%
수성구 448
 
3.2%
서구 413
 
3.0%
남구 275
 
2.0%
중구 244
 
1.8%
대명동 202
 
1.4%
달성군 148
 
1.1%
Other values (3178) 7381
53.0%
2023-12-11T03:50:35.736969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13819
18.3%
구 6255
 
8.3%
동 3751
 
5.0%
1 3609
 
4.8%
대 3513
 
4.7%
시 3210
 
4.3%
지 3201
 
4.2%
광 3186
 
4.2%
역 3181
 
4.2%
번 2763
 
3.7%
Other values (278) 28937
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41962
55.6%
Decimal Number 16160
 
21.4%
Space Separator 13819
 
18.3%
Dash Punctuation 2756
 
3.7%
Close Punctuation 312
 
0.4%
Open 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 6255
14.9%
동 3751
 
8.9%
대 3513
 
8.4%
시 3210
 
7.6%
지 3201
 
7.6%
광 3186
 
7.6%
역 3181
 
7.6%
번 2763
 
6.6%
서 1104
 
2.6%
성 884
 
2.1%
Other values (251) 10914
26.0%
Decimal Number
ValueCountFrequency (%)
1 3609
22.3%
2 2193
13.6%
0 1946
12.0%
3 1568
9.7%
4 1410
 
8.7%
5 1260
 
7.8%
6 1093
 
6.8%
7 1067
 
6.6%
9 1027
 
6.4%
8 987
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
P 4
 
9.5%
T 4
 
9.5%
S 1
 
2.4%
C 1
 
2.4%
L 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 (%)
13819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2756
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41961
55.6%
Common 33421
44.3%
Latin 42
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6255
14.9%
동 3751
 
8.9%
대 3513
 
8.4%
시 3210
 
7.6%
지 3201
 
7.6%
광 3186
 
7.6%
역 3181
 
7.6%
번 2763
 
6.6%
서 1104
 
2.6%
성 884
 
2.1%
Other values (250) 10913
26.0%
Common
ValueCountFrequency (%)
13819
41.3%
1 3609
 
10.8%
- 2756
 
8.2%
2 2193
 
6.6%
0 1946
 
5.8%
3 1568
 
4.7%
4 1410
 
4.2%
5 1260
 
3.8%
6 1093
 
3.3%
7 1067
 
3.2%
Other values (9) 2700
 
8.1%
Latin
ValueCountFrequency (%)
A 17
40.5%
B 13
31.0%
P 4
 
9.5%
T 4
 
9.5%
S 1
 
2.4%
C 1
 
2.4%
L 1
 
2.4%
H 1
 
2.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41961
55.6%
ASCII 33463
44.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13819
41.3%
1 3609
 
10.8%
- 2756
 
8.2%
2 2193
 
6.6%
0 1946
 
5.8%
3 1568
 
4.7%
4 1410
 
4.2%
5 1260
 
3.8%
6 1093
 
3.3%
7 1067
 
3.2%
Other values (17) 2742
 
8.2%
Hangul
ValueCountFrequency (%)
구 6255
14.9%
동 3751
 
8.9%
대 3513
 
8.4%
시 3210
 
7.6%
지 3201
 
7.6%
광 3186
 
7.6%
역 3181
 
7.6%
번 2763
 
6.6%
서 1104
 
2.6%
성 884
 
2.1%
Other values (250) 10913
26.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1687
Distinct (%)95.5%
Missing1411
Missing (%)44.4%
Memory size25.0 KiB
2023-12-11T03:50:36.241884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length27.704018
Min length18

Characters and Unicode

Total characters48953
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

Unique1622 ?
Unique (%)91.8%

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 1767
 
17.8%
달서구 336
 
3.4%
1층 292
 
2.9%
동구 290
 
2.9%
북구 287
 
2.9%
수성구 250
 
2.5%
서구 205
 
2.1%
남구 169
 
1.7%
중구 134
 
1.3%
대명동 120
 
1.2%
Other values (2039) 6095
61.3%
2023-12-11T03:50:36.982564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8178
 
16.7%
구 3636
 
7.4%
동 2358
 
4.8%
대 2253
 
4.6%
1 1997
 
4.1%
시 1802
 
3.7%
( 1790
 
3.7%
) 1790
 
3.7%
역 1773
 
3.6%
광 1770
 
3.6%
Other values (297) 21606
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28326
57.9%
Space Separator 8178
 
16.7%
Decimal Number 7564
 
15.5%
Open Punctuation 1790
 
3.7%
Close Punctuation 1790
 
3.7%
Other Punctuation 953
 
1.9%
Dash Punctuation 317
 
0.6%
Uppercase Letter 34
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3636
 
12.8%
동 2358
 
8.3%
대 2253
 
8.0%
시 1802
 
6.4%
역 1773
 
6.3%
광 1770
 
6.2%
로 1685
 
5.9%
길 975
 
3.4%
층 726
 
2.6%
서 702
 
2.5%
Other values (271) 10646
37.6%
Decimal Number
ValueCountFrequency (%)
1 1997
26.4%
2 1123
14.8%
3 883
11.7%
0 623
 
8.2%
4 621
 
8.2%
5 541
 
7.2%
6 518
 
6.8%
7 473
 
6.3%
8 413
 
5.5%
9 372
 
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 (%)
, 950
99.7%
. 1
 
0.1%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1790
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28326
57.9%
Common 20593
42.1%
Latin 34
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3636
 
12.8%
동 2358
 
8.3%
대 2253
 
8.0%
시 1802
 
6.4%
역 1773
 
6.3%
광 1770
 
6.2%
로 1685
 
5.9%
길 975
 
3.4%
층 726
 
2.6%
서 702
 
2.5%
Other values (271) 10646
37.6%
Common
ValueCountFrequency (%)
8178
39.7%
1 1997
 
9.7%
( 1790
 
8.7%
) 1790
 
8.7%
2 1123
 
5.5%
, 950
 
4.6%
3 883
 
4.3%
0 623
 
3.0%
4 621
 
3.0%
5 541
 
2.6%
Other values (9) 2097
 
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 28326
57.9%
ASCII 20627
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8178
39.6%
1 1997
 
9.7%
( 1790
 
8.7%
) 1790
 
8.7%
2 1123
 
5.4%
, 950
 
4.6%
3 883
 
4.3%
0 623
 
3.0%
4 621
 
3.0%
5 541
 
2.6%
Other values (16) 2131
 
10.3%
Hangul
ValueCountFrequency (%)
구 3636
 
12.8%
동 2358
 
8.3%
대 2253
 
8.0%
시 1802
 
6.4%
역 1773
 
6.3%
광 1770
 
6.2%
로 1685
 
5.9%
길 975
 
3.4%
층 726
 
2.6%
서 702
 
2.5%
Other values (271) 10646
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct849
Distinct (%)48.7%
Missing1435
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean42008.741
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:37.230422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41121
Q141535
median41961
Q342509.5
95-th percentile42918
Maximum43024
Range2024
Interquartile range (IQR)974.5

Descriptive statistics

Standard deviation577.26222
Coefficient of variation (CV)0.013741479
Kurtosis-1.193705
Mean42008.741
Median Absolute Deviation (MAD)498
Skewness0.0021451979
Sum73221235
Variance333231.67
MonotonicityNot monotonic
2023-12-11T03:50:37.454202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42612 9
 
0.3%
41558 9
 
0.3%
42632 8
 
0.3%
41913 8
 
0.3%
41465 8
 
0.3%
41947 7
 
0.2%
41122 7
 
0.2%
41552 7
 
0.2%
42946 7
 
0.2%
42653 7
 
0.2%
Other values (839) 1666
52.4%
(Missing) 1435
45.2%
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

Distinct2018
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T03:50:37.937636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length5
Mean length5.0698553
Min length1

Characters and Unicode

Total characters16112
Distinct characters511
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

Unique1531 ?
Unique (%)48.2%

Sample

1st row월드
2nd row서남이용소
3rd row정
4th row엘디스리젠트
5th row새중앙
ValueCountFrequency (%)
이용소 36
 
1.1%
현대이용소 25
 
0.8%
대성이용소 25
 
0.8%
명성이용소 20
 
0.6%
그린이용소 17
 
0.5%
삼성이용소 17
 
0.5%
블루클럽 15
 
0.5%
동원이용소 15
 
0.5%
보성이용소 13
 
0.4%
제일이용소 12
 
0.4%
Other values (1976) 3069
94.0%
2023-12-11T03:50:38.678865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2277
 
14.1%
용 2207
 
13.7%
소 2116
 
13.1%
성 343
 
2.1%
대 292
 
1.8%
동 203
 
1.3%
신 184
 
1.1%
원 175
 
1.1%
167
 
1.0%
천 158
 
1.0%
Other values (501) 7990
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15676
97.3%
Space Separator 167
 
1.0%
Uppercase Letter 82
 
0.5%
Lowercase Letter 66
 
0.4%
Open Punctuation 36
 
0.2%
Close Punctuation 36
 
0.2%
Decimal Number 35
 
0.2%
Other Punctuation 12
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2277
 
14.5%
용 2207
 
14.1%
소 2116
 
13.5%
성 343
 
2.2%
대 292
 
1.9%
동 203
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 150
 
1.0%
Other values (443) 7571
48.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
 
11.0%
A 8
 
9.8%
O 6
 
7.3%
S 6
 
7.3%
M 6
 
7.3%
E 5
 
6.1%
L 5
 
6.1%
T 5
 
6.1%
K 5
 
6.1%
I 4
 
4.9%
Other values (13) 23
28.0%
Lowercase Letter
ValueCountFrequency (%)
o 8
12.1%
r 8
12.1%
a 8
12.1%
n 6
9.1%
s 6
9.1%
e 5
7.6%
h 5
7.6%
b 5
7.6%
p 3
 
4.5%
l 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%
5 1
 
2.9%
9 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 7
58.3%
' 2
 
16.7%
, 1
 
8.3%
& 1
 
8.3%
· 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15676
97.3%
Common 286
 
1.8%
Latin 150
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2277
 
14.5%
용 2207
 
14.1%
소 2116
 
13.5%
성 343
 
2.2%
대 292
 
1.9%
동 203
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 150
 
1.0%
Other values (443) 7571
48.3%
Latin
ValueCountFrequency (%)
B 9
 
6.0%
A 8
 
5.3%
o 8
 
5.3%
r 8
 
5.3%
a 8
 
5.3%
O 6
 
4.0%
n 6
 
4.0%
S 6
 
4.0%
s 6
 
4.0%
M 6
 
4.0%
Other values (32) 79
52.7%
Common
ValueCountFrequency (%)
167
58.4%
( 36
 
12.6%
) 36
 
12.6%
8 8
 
2.8%
1 8
 
2.8%
. 7
 
2.4%
3 6
 
2.1%
2 5
 
1.7%
0 4
 
1.4%
4 2
 
0.7%
Other values (6) 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15676
97.3%
ASCII 433
 
2.7%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2277
 
14.5%
용 2207
 
14.1%
소 2116
 
13.5%
성 343
 
2.2%
대 292
 
1.9%
동 203
 
1.3%
신 184
 
1.2%
원 175
 
1.1%
천 158
 
1.0%
우 150
 
1.0%
Other values (443) 7571
48.3%
ASCII
ValueCountFrequency (%)
167
38.6%
( 36
 
8.3%
) 36
 
8.3%
B 9
 
2.1%
A 8
 
1.8%
o 8
 
1.8%
r 8
 
1.8%
a 8
 
1.8%
8 8
 
1.8%
1 8
 
1.8%
Other values (45) 137
31.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2464
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011006 × 1013
Minimum2.0011006 × 1013
Maximum2.0220331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:38.872617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0011006 × 1013
5-th percentile2.0021011 × 1013
Q12.0040321 × 1013
median2.0101027 × 1013
Q32.0180523 × 1013
95-th percentile2.0210917 × 1013
Maximum2.0220331 × 1013
Range2.0932515 × 1011
Interquartile range (IQR)1.4020236 × 1011

Descriptive statistics

Standard deviation6.7773793 × 1010
Coefficient of variation (CV)0.0033701438
Kurtosis-1.4738167
Mean2.011006 × 1013
Median Absolute Deviation (MAD)6.9693021 × 1010
Skewness0.16927152
Sum6.390977 × 1016
Variance4.593287 × 1021
MonotonicityNot monotonic
2023-12-11T03:50:39.103624image/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 (2454) 2915
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 (%)
20220331145843 1
< 0.1%
20220331103622 1
< 0.1%
20220331100534 1
< 0.1%
20220330092148 1
< 0.1%
20220329220549 1
< 0.1%
20220329090832 1
< 0.1%
20220325154303 1
< 0.1%
20220324170752 1
< 0.1%
20220323142452 1
< 0.1%
20220322100604 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
I
2474 
U
704 

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 2474
77.8%
U 704
 
22.2%

Length

2023-12-11T03:50:39.281311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:39.430861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2474
77.8%
u 704
 
22.2%

데이터갱신일자
Date

Distinct460
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-02 02:40:00
2023-12-11T03:50:39.612615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:50:39.828926image/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
3141 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.0116425
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3141
98.8%
이용업 기타 37
 
1.2%

Length

2023-12-11T03:50:40.357726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:40.501307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3141
97.7%
이용업 37
 
1.2%
기타 37
 
1.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2345
Distinct (%)77.4%
Missing147
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean343049.82
Minimum327551.87
Maximum356728.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:40.669281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327551.87
5-th percentile335206.11
Q1339876.15
median342647.2
Q3346243.74
95-th percentile352541.61
Maximum356728.78
Range29176.904
Interquartile range (IQR)6367.592

Descriptive statistics

Standard deviation4883.1774
Coefficient of variation (CV)0.014234601
Kurtosis0.46474154
Mean343049.82
Median Absolute Deviation (MAD)3102.4188
Skewness0.066273209
Sum1.039784 × 109
Variance23845421
MonotonicityNot monotonic
2023-12-11T03:50:40.865685image/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%
335728.273517 7
 
0.2%
342647.200755 7
 
0.2%
344046.261885 7
 
0.2%
346440.105797 6
 
0.2%
354615.507123 6
 
0.2%
337346.648864 6
 
0.2%
341168.269806 6
 
0.2%
Other values (2335) 2960
93.1%
(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 

Distinct2345
Distinct (%)77.4%
Missing147
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean263533.36
Minimum238769.81
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:41.089219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257678.97
Q1261588.95
median263724.63
Q3265723.13
95-th percentile270317.92
Maximum278091.65
Range39321.841
Interquartile range (IQR)4134.1823

Descriptive statistics

Standard deviation4156.787
Coefficient of variation (CV)0.015773286
Kurtosis6.0585145
Mean263533.36
Median Absolute Deviation (MAD)2077.4138
Skewness-1.2029399
Sum7.9876962 × 108
Variance17278879
MonotonicityNot monotonic
2023-12-11T03:50:41.327608image/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%
262684.165543 7
 
0.2%
261846.398048 7
 
0.2%
261742.707245 7
 
0.2%
267083.375924 6
 
0.2%
264736.879631 6
 
0.2%
258035.007517 6
 
0.2%
260524.377358 6
 
0.2%
Other values (2335) 2960
93.1%
(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
3141 
이용업 기타
 
37

Length

Max length6
Median length5
Mean length5.0116425
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 3141
98.8%
이용업 기타 37
 
1.2%

Length

2023-12-11T03:50:41.541517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:41.746159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 3141
97.7%
이용업 37
 
1.2%
기타 37
 
1.2%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.8%
Missing586
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean2.5324074
Minimum0
Maximum35
Zeros642
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:41.959811image/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 deviation2.4156378
Coefficient of variation (CV)0.95388988
Kurtosis30.883434
Mean2.5324074
Median Absolute Deviation (MAD)2
Skewness3.4094979
Sum6564
Variance5.835306
MonotonicityNot monotonic
2023-12-11T03:50:42.218221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 642
20.2%
3 555
17.5%
2 518
16.3%
4 333
10.5%
5 217
 
6.8%
1 178
 
5.6%
6 56
 
1.8%
7 31
 
1.0%
9 23
 
0.7%
10 14
 
0.4%
Other values (11) 25
 
0.8%
(Missing) 586
18.4%
ValueCountFrequency (%)
0 642
20.2%
1 178
 
5.6%
2 518
16.3%
3 555
17.5%
4 333
10.5%
5 217
 
6.8%
6 56
 
1.8%
7 31
 
1.0%
8 10
 
0.3%
9 23
 
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%
Missing949
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean0.55271422
Minimum0
Maximum9
Zeros1201
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:42.461275image/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 deviation0.76299516
Coefficient of variation (CV)1.3804515
Kurtosis19.317651
Mean0.55271422
Median Absolute Deviation (MAD)0
Skewness3.0168393
Sum1232
Variance0.58216162
MonotonicityNot monotonic
2023-12-11T03:50:42.742663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1201
37.8%
1 902
28.4%
2 94
 
3.0%
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) 949
29.9%
ValueCountFrequency (%)
0 1201
37.8%
1 902
28.4%
2 94
 
3.0%
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 94
 
3.0%
1 902
28.4%
0 1201
37.8%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.4%
Missing818
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean1.309322
Minimum0
Maximum9
Zeros527
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:42.894960image/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 deviation1.2253841
Coefficient of variation (CV)0.9358921
Kurtosis5.5273815
Mean1.309322
Median Absolute Deviation (MAD)1
Skewness1.8472112
Sum3090
Variance1.5015663
MonotonicityNot monotonic
2023-12-11T03:50:43.049506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 1135
35.7%
0 527
16.6%
2 370
 
11.6%
3 205
 
6.5%
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 (%)
0 527
16.6%
1 1135
35.7%
2 370
 
11.6%
3 205
 
6.5%
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
 
6.5%
2 370
 
11.6%
1 1135
35.7%
0 527
16.6%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing1052
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean1.4365005
Minimum0
Maximum8
Zeros305
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:43.230198image/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 deviation1.197827
Coefficient of variation (CV)0.83385073
Kurtosis5.3103762
Mean1.4365005
Median Absolute Deviation (MAD)0
Skewness1.8561953
Sum3054
Variance1.4347894
MonotonicityNot monotonic
2023-12-11T03:50:43.393136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1135
35.7%
2 367
 
11.5%
0 305
 
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
33.1%
ValueCountFrequency (%)
0 305
 
9.6%
1 1135
35.7%
2 367
 
11.5%
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%
2 367
 
11.5%
1 1135
35.7%
0 305
 
9.6%

사용시작지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1573 
<NA>
1408 
1
191 
2
 
5
6
 
1

Length

Max length4
Median length1
Mean length2.3291378
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1573
49.5%
<NA> 1408
44.3%
1 191
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2023-12-11T03:50:43.622022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:43.793062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1573
49.5%
na 1408
44.3%
1 191
 
6.0%
2 5
 
0.2%
6 1
 
< 0.1%

사용끝지하층
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1716 
0
1225 
1
231 
2
 
5
6
 
1

Length

Max length4
Median length4
Mean length2.6198867
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1716
54.0%
0 1225
38.5%
1 231
 
7.3%
2 5
 
0.2%
6 1
 
< 0.1%

Length

2023-12-11T03:50:43.973748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:44.130472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1716
54.0%
0 1225
38.5%
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
1853 
<NA>
1325 

Length

Max length4
Median length1
Mean length2.2507867
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1853
58.3%
<NA> 1325
41.7%

Length

2023-12-11T03:50:44.325572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:44.480560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1853
58.3%
na 1325
41.7%

양실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1853 
<NA>
1325 

Length

Max length4
Median length1
Mean length2.2507867
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1853
58.3%
<NA> 1325
41.7%

Length

2023-12-11T03:50:44.668819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:44.848508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1853
58.3%
na 1325
41.7%

욕실수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
0
1852 
<NA>
1325 
2
 
1

Length

Max length4
Median length1
Mean length2.2507867
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1852
58.3%
<NA> 1325
41.7%
2 1
 
< 0.1%

Length

2023-12-11T03:50:45.037480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:45.225613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1852
58.3%
na 1325
41.7%
2 1
 
< 0.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing43
Missing (%)1.4%
Memory size6.3 KiB
False
3135 
(Missing)
 
43
ValueCountFrequency (%)
False 3135
98.6%
(Missing) 43
 
1.4%
2023-12-11T03:50:45.384127image/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%
Mean3.4973489
Minimum0
Maximum15
Zeros164
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:45.527982image/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 deviation2.4995919
Coefficient of variation (CV)0.71471048
Kurtosis1.6419885
Mean3.4973489
Median Absolute Deviation (MAD)1
Skewness1.3153762
Sum9894
Variance6.2479597
MonotonicityNot monotonic
2023-12-11T03:50:45.731082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 739
23.3%
2 667
21.0%
4 369
11.6%
1 274
 
8.6%
0 164
 
5.2%
5 131
 
4.1%
6 106
 
3.3%
8 98
 
3.1%
7 96
 
3.0%
9 92
 
2.9%
Other values (5) 93
 
2.9%
(Missing) 349
11.0%
ValueCountFrequency (%)
0 164
 
5.2%
1 274
 
8.6%
2 667
21.0%
3 739
23.3%
4 369
11.6%
5 131
 
4.1%
6 106
 
3.3%
7 96
 
3.0%
8 98
 
3.1%
9 92
 
2.9%
ValueCountFrequency (%)
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%
5 131
4.1%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3178
Missing (%)100.0%
Memory size28.1 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1627 
임대
1410 
자가
 
141

Length

Max length4
Median length4
Mean length3.0239144
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1627
51.2%
임대 1410
44.4%
자가 141
 
4.4%

Length

2023-12-11T03:50:45.995419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:46.171106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1627
51.2%
임대 1410
44.4%
자가 141
 
4.4%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1674 
0
1504 

Length

Max length4
Median length4
Mean length2.5802391
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1674
52.7%
0 1504
47.3%

Length

2023-12-11T03:50:46.358807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:46.516984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1674
52.7%
0 1504
47.3%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
2744 
0
327 
1
 
102
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length3.5903084
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> 2744
86.3%
0 327
 
10.3%
1 102
 
3.2%
2 4
 
0.1%
3 1
 
< 0.1%

Length

2023-12-11T03:50:46.693156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:46.908354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2744
86.3%
0 327
 
10.3%
1 102
 
3.2%
2 4
 
0.1%
3 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
2638 
0
274 
1
 
262
2
 
4

Length

Max length4
Median length4
Mean length3.4902454
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> 2638
83.0%
0 274
 
8.6%
1 262
 
8.2%
2 4
 
0.1%

Length

2023-12-11T03:50:47.121758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:47.297440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2638
83.0%
0 274
 
8.6%
1 262
 
8.2%
2 4
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1779 
0
1399 

Length

Max length4
Median length4
Mean length2.6793581
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1779
56.0%
0 1399
44.0%

Length

2023-12-11T03:50:47.493665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:47.663668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1779
56.0%
0 1399
44.0%

침대수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing1791
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean0.056957462
Minimum0
Maximum8
Zeros1371
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size28.1 KiB
2023-12-11T03:50:47.815633image/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 deviation0.59367783
Coefficient of variation (CV)10.423179
Kurtosis129.9432
Mean0.056957462
Median Absolute Deviation (MAD)0
Skewness11.27536
Sum79
Variance0.35245336
MonotonicityNot monotonic
2023-12-11T03:50:48.039085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1371
43.1%
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) 1791
56.4%
ValueCountFrequency (%)
0 1371
43.1%
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 1371
43.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
False
3177 
True
 
1
ValueCountFrequency (%)
False 3177
> 99.9%
True 1
 
< 0.1%
2023-12-11T03:50:48.272907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01이용업05_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
12이용업05_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
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34이용업05_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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