Overview

Dataset statistics

Number of variables50
Number of observations1808
Missing cells18770
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory764.6 KiB
Average record size in memory433.1 B

Variable types

Numeric16
Categorical19
Text6
Unsupported6
DateTime1
Boolean2

Dataset

Description22년05월_6270000_대구광역시_09_30_04_P_건물위생관리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093503&dataSetDetailId=DDI_0000093534&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
발한실여부 has constant value ""Constant
조건부허가신고사유 has constant value ""Constant
업태구분명 is highly imbalanced (91.6%)Imbalance
위생업태명 is highly imbalanced (91.6%)Imbalance
의자수 is highly imbalanced (55.2%)Imbalance
다중이용업소여부 is highly imbalanced (97.3%)Imbalance
인허가취소일자 has 1808 (100.0%) missing valuesMissing
폐업일자 has 568 (31.4%) missing valuesMissing
휴업시작일자 has 1808 (100.0%) missing valuesMissing
휴업종료일자 has 1808 (100.0%) missing valuesMissing
재개업일자 has 1808 (100.0%) missing valuesMissing
소재지전화 has 484 (26.8%) missing valuesMissing
도로명전체주소 has 595 (32.9%) missing valuesMissing
도로명우편번호 has 605 (33.5%) missing valuesMissing
좌표정보(X) has 28 (1.5%) missing valuesMissing
좌표정보(Y) has 28 (1.5%) missing valuesMissing
건물지상층수 has 175 (9.7%) missing valuesMissing
건물지하층수 has 349 (19.3%) missing valuesMissing
사용시작지상층 has 258 (14.3%) missing valuesMissing
사용끝지상층 has 393 (21.7%) missing valuesMissing
발한실여부 has 45 (2.5%) missing valuesMissing
조건부허가신고사유 has 1807 (99.9%) missing valuesMissing
조건부허가시작일자 has 1808 (100.0%) missing valuesMissing
조건부허가종료일자 has 1808 (100.0%) missing valuesMissing
여성종사자수 has 1374 (76.0%) missing valuesMissing
남성종사자수 has 1193 (66.0%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -34.65461654)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
소재지면적 has 189 (10.5%) zerosZeros
건물지상층수 has 304 (16.8%) zerosZeros
건물지하층수 has 789 (43.6%) zerosZeros
사용시작지상층 has 175 (9.7%) zerosZeros
사용끝지상층 has 131 (7.2%) zerosZeros
여성종사자수 has 296 (16.4%) zerosZeros
남성종사자수 has 207 (11.4%) zerosZeros

Reproduction

Analysis started2024-04-21 08:03:13.988962
Analysis finished2024-04-21 08:03:15.760414
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1808
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean904.5
Minimum1
Maximum1808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:15.944010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile91.35
Q1452.75
median904.5
Q31356.25
95-th percentile1717.65
Maximum1808
Range1807
Interquartile range (IQR)903.5

Descriptive statistics

Standard deviation522.06896
Coefficient of variation (CV)0.57719067
Kurtosis-1.2
Mean904.5
Median Absolute Deviation (MAD)452
Skewness0
Sum1635336
Variance272556
MonotonicityStrictly increasing
2024-04-21T17:03:16.388587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1189 1
 
0.1%
1215 1
 
0.1%
1214 1
 
0.1%
1213 1
 
0.1%
1212 1
 
0.1%
1211 1
 
0.1%
1210 1
 
0.1%
1209 1
 
0.1%
1208 1
 
0.1%
Other values (1798) 1798
99.4%
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 (%)
1808 1
0.1%
1807 1
0.1%
1806 1
0.1%
1805 1
0.1%
1804 1
0.1%
1803 1
0.1%
1802 1
0.1%
1801 1
0.1%
1800 1
0.1%
1799 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
건물위생관리업
1808 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 1808
100.0%

Length

2024-04-21T17:03:16.816177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:17.123224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 1808
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
09_30_04_P
1808 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_04_P
2nd row09_30_04_P
3rd row09_30_04_P
4th row09_30_04_P
5th row09_30_04_P

Common Values

ValueCountFrequency (%)
09_30_04_P 1808
100.0%

Length

2024-04-21T17:03:17.610017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:17.919065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_04_p 1808
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445702.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:18.195624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21549.134
Coefficient of variation (CV)0.0062539163
Kurtosis-1.3278066
Mean3445702.4
Median Absolute Deviation (MAD)20000
Skewness-0.1971609
Sum6.22983 × 109
Variance4.643652 × 108
MonotonicityIncreasing
2024-04-21T17:03:18.557665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 360
19.9%
3460000 352
19.5%
3420000 325
18.0%
3450000 191
10.6%
3440000 178
9.8%
3430000 169
9.3%
3410000 151
8.4%
3480000 82
 
4.5%
ValueCountFrequency (%)
3410000 151
8.4%
3420000 325
18.0%
3430000 169
9.3%
3440000 178
9.8%
3450000 191
10.6%
3460000 352
19.5%
3470000 360
19.9%
3480000 82
 
4.5%
ValueCountFrequency (%)
3480000 82
 
4.5%
3470000 360
19.9%
3460000 352
19.5%
3450000 191
10.6%
3440000 178
9.8%
3430000 169
9.3%
3420000 325
18.0%
3410000 151
8.4%

관리번호
Text

UNIQUE 

Distinct1808
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-04-21T17:03:19.261752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters39776
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

Unique1808 ?
Unique (%)100.0%

Sample

1st row3410000-206-2012-00007
2nd row3410000-206-2012-00008
3rd row3410000-206-2012-00009
4th row3410000-206-2014-00003
5th row3410000-206-2014-00002
ValueCountFrequency (%)
3410000-206-2012-00007 1
 
0.1%
3460000-206-2006-00007 1
 
0.1%
3460000-206-2008-00004 1
 
0.1%
3460000-206-2008-00002 1
 
0.1%
3460000-206-2007-00010 1
 
0.1%
3460000-206-2006-00004 1
 
0.1%
3460000-206-2002-00006 1
 
0.1%
3460000-206-1999-00005 1
 
0.1%
3460000-206-1999-00001 1
 
0.1%
3460000-206-1998-00006 1
 
0.1%
Other values (1798) 1798
99.4%
2024-04-21T17:03:20.359588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18584
46.7%
- 5424
 
13.6%
2 4386
 
11.0%
6 2483
 
6.2%
3 2387
 
6.0%
4 2369
 
6.0%
1 1964
 
4.9%
7 673
 
1.7%
9 599
 
1.5%
5 508
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34352
86.4%
Dash Punctuation 5424
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18584
54.1%
2 4386
 
12.8%
6 2483
 
7.2%
3 2387
 
6.9%
4 2369
 
6.9%
1 1964
 
5.7%
7 673
 
2.0%
9 599
 
1.7%
5 508
 
1.5%
8 399
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 5424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39776
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18584
46.7%
- 5424
 
13.6%
2 4386
 
11.0%
6 2483
 
6.2%
3 2387
 
6.0%
4 2369
 
6.0%
1 1964
 
4.9%
7 673
 
1.7%
9 599
 
1.5%
5 508
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18584
46.7%
- 5424
 
13.6%
2 4386
 
11.0%
6 2483
 
6.2%
3 2387
 
6.0%
4 2369
 
6.0%
1 1964
 
4.9%
7 673
 
1.7%
9 599
 
1.5%
5 508
 
1.3%

인허가일자
Real number (ℝ)

Distinct1394
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090296
Minimum19821207
Maximum20220517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:20.775274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19821207
5-th percentile19980908
Q120040212
median20090462
Q320140908
95-th percentile20200713
Maximum20220517
Range399310
Interquartile range (IQR)100695.75

Descriptive statistics

Standard deviation68805.674
Coefficient of variation (CV)0.0034248213
Kurtosis-0.62130403
Mean20090296
Median Absolute Deviation (MAD)50351.5
Skewness-0.093176997
Sum3.6323255 × 1010
Variance4.7342208 × 109
MonotonicityNot monotonic
2024-04-21T17:03:21.234289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030718 12
 
0.7%
20101013 12
 
0.7%
20121012 7
 
0.4%
20040414 5
 
0.3%
20110414 5
 
0.3%
20070323 5
 
0.3%
20101214 5
 
0.3%
20110523 4
 
0.2%
20080115 4
 
0.2%
20120724 4
 
0.2%
Other values (1384) 1745
96.5%
ValueCountFrequency (%)
19821207 1
0.1%
19871113 1
0.1%
19880114 1
0.1%
19880130 1
0.1%
19900707 1
0.1%
19901024 1
0.1%
19911211 1
0.1%
19920220 1
0.1%
19920611 1
0.1%
19921229 1
0.1%
ValueCountFrequency (%)
20220517 1
0.1%
20220504 1
0.1%
20220426 1
0.1%
20220425 1
0.1%
20220420 1
0.1%
20220412 1
0.1%
20220411 1
0.1%
20220408 1
0.1%
20220325 1
0.1%
20220324 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
3
1240 
1
568 

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 1240
68.6%
1 568
31.4%

Length

2024-04-21T17:03:21.663299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:21.977809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1240
68.6%
1 568
31.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
폐업
1240 
영업/정상
568 

Length

Max length5
Median length2
Mean length2.9424779
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1240
68.6%
영업/정상 568
31.4%

Length

2024-04-21T17:03:22.334729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:22.663430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1240
68.6%
영업/정상 568
31.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2
1240 
1
568 

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 1240
68.6%
1 568
31.4%

Length

2024-04-21T17:03:23.008666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:23.323980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1240
68.6%
1 568
31.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
폐업
1240 
영업
568 

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 1240
68.6%
영업 568
31.4%

Length

2024-04-21T17:03:23.506042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:23.677578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1240
68.6%
영업 568
31.4%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct935
Distinct (%)75.4%
Missing568
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean20103368
Minimum200305
Maximum20220506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:23.883326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200305
5-th percentile20031022
Q120061112
median20120766
Q320170922
95-th percentile20201112
Maximum20220506
Range20020201
Interquartile range (IQR)109810

Descriptive statistics

Standard deviation568686.11
Coefficient of variation (CV)0.028288101
Kurtosis1213.798
Mean20103368
Median Absolute Deviation (MAD)50461.5
Skewness-34.654617
Sum2.4928177 × 1010
Variance3.2340389 × 1011
MonotonicityNot monotonic
2024-04-21T17:03:24.153526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031231 12
 
0.7%
20031128 11
 
0.6%
20031230 10
 
0.6%
20180625 8
 
0.4%
20040417 8
 
0.4%
20030929 8
 
0.4%
20090108 7
 
0.4%
20050114 7
 
0.4%
20030930 7
 
0.4%
20031229 6
 
0.3%
Other values (925) 1156
63.9%
(Missing) 568
31.4%
ValueCountFrequency (%)
200305 1
0.1%
20000720 1
0.1%
20020121 2
0.1%
20020430 1
0.1%
20020810 1
0.1%
20020819 1
0.1%
20020823 1
0.1%
20020826 1
0.1%
20020828 1
0.1%
20020924 1
0.1%
ValueCountFrequency (%)
20220506 1
0.1%
20220412 2
0.1%
20220406 1
0.1%
20220405 1
0.1%
20220310 1
0.1%
20220303 1
0.1%
20220225 1
0.1%
20220221 1
0.1%
20220215 1
0.1%
20220211 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB

소재지전화
Text

MISSING 

Distinct1131
Distinct (%)85.4%
Missing484
Missing (%)26.8%
Memory size14.2 KiB
2024-04-21T17:03:25.372707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.189577
Min length3

Characters and Unicode

Total characters14815
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

Unique980 ?
Unique (%)74.0%

Sample

1st row053 7518866
2nd row053 4258858
3rd row053 2931106
4th row053 6226623
5th row053 565 0951
ValueCountFrequency (%)
053 1177
38.3%
744 18
 
0.6%
742 17
 
0.6%
070 13
 
0.4%
745 12
 
0.4%
653 12
 
0.4%
766 10
 
0.3%
767 10
 
0.3%
746 10
 
0.3%
782 9
 
0.3%
Other values (1286) 1782
58.0%
2024-04-21T17:03:26.796571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2459
16.6%
0 2148
14.5%
3 2015
13.6%
1771
12.0%
6 1111
7.5%
7 1054
7.1%
2 1031
7.0%
4 947
 
6.4%
1 853
 
5.8%
8 774
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13044
88.0%
Space Separator 1771
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2459
18.9%
0 2148
16.5%
3 2015
15.4%
6 1111
8.5%
7 1054
8.1%
2 1031
7.9%
4 947
 
7.3%
1 853
 
6.5%
8 774
 
5.9%
9 652
 
5.0%
Space Separator
ValueCountFrequency (%)
1771
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14815
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2459
16.6%
0 2148
14.5%
3 2015
13.6%
1771
12.0%
6 1111
7.5%
7 1054
7.1%
2 1031
7.0%
4 947
 
6.4%
1 853
 
5.8%
8 774
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2459
16.6%
0 2148
14.5%
3 2015
13.6%
1771
12.0%
6 1111
7.5%
7 1054
7.1%
2 1031
7.0%
4 947
 
6.4%
1 853
 
5.8%
8 774
 
5.2%

소재지면적
Real number (ℝ)

ZEROS 

Distinct1131
Distinct (%)62.7%
Missing5
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean59.583217
Minimum0
Maximum667.39
Zeros189
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:27.042902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.925
median46.72
Q382.62
95-th percentile155.388
Maximum667.39
Range667.39
Interquartile range (IQR)57.695

Descriptive statistics

Standard deviation54.914632
Coefficient of variation (CV)0.92164597
Kurtosis15.269151
Mean59.583217
Median Absolute Deviation (MAD)26.62
Skewness2.6276839
Sum107428.54
Variance3015.6168
MonotonicityNot monotonic
2024-04-21T17:03:27.304152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 189
 
10.5%
33.0 28
 
1.5%
66.0 25
 
1.4%
60.0 20
 
1.1%
30.0 20
 
1.1%
20.0 15
 
0.8%
49.5 15
 
0.8%
35.0 12
 
0.7%
50.0 12
 
0.7%
99.0 11
 
0.6%
Other values (1121) 1456
80.5%
ValueCountFrequency (%)
0.0 189
10.5%
2.64 1
 
0.1%
3.0 1
 
0.1%
4.0 1
 
0.1%
5.31 1
 
0.1%
5.4 1
 
0.1%
6.0 1
 
0.1%
6.52 1
 
0.1%
6.68 1
 
0.1%
7.14 1
 
0.1%
ValueCountFrequency (%)
667.39 1
0.1%
478.4 1
0.1%
459.68 1
0.1%
420.0 1
0.1%
409.0 1
0.1%
384.2 1
0.1%
350.0 1
0.1%
327.25 1
0.1%
307.0 1
0.1%
300.0 1
0.1%

소재지우편번호
Real number (ℝ)

Distinct441
Distinct (%)24.6%
Missing14
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean704303.49
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:27.559519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700813.65
Q1701858
median704390
Q3705832.75
95-th percentile706851
Maximum711891
Range11881
Interquartile range (IQR)3974.75

Descriptive statistics

Standard deviation2507.4568
Coefficient of variation (CV)0.0035601936
Kurtosis0.99388096
Mean704303.49
Median Absolute Deviation (MAD)1790
Skewness0.73872511
Sum1.2635205 × 109
Variance6287339.4
MonotonicityNot monotonic
2024-04-21T17:03:27.815382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704060 33
 
1.8%
706220 22
 
1.2%
704080 22
 
1.2%
706032 19
 
1.1%
704932 16
 
0.9%
701827 15
 
0.8%
702040 15
 
0.8%
706818 15
 
0.8%
701823 14
 
0.8%
706852 14
 
0.8%
Other values (431) 1609
89.0%
ValueCountFrequency (%)
700010 4
0.2%
700020 3
 
0.2%
700040 2
 
0.1%
700060 2
 
0.1%
700082 8
0.4%
700092 2
 
0.1%
700111 2
 
0.1%
700112 1
 
0.1%
700113 2
 
0.1%
700150 2
 
0.1%
ValueCountFrequency (%)
711891 1
 
0.1%
711874 2
 
0.1%
711873 1
 
0.1%
711872 2
 
0.1%
711864 8
0.4%
711861 2
 
0.1%
711856 2
 
0.1%
711852 9
0.5%
711850 1
 
0.1%
711845 1
 
0.1%
Distinct1642
Distinct (%)90.9%
Missing1
Missing (%)0.1%
Memory size14.2 KiB
2024-04-21T17:03:29.191057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length22.551743
Min length16

Characters and Unicode

Total characters40751
Distinct characters288
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1506 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 대신동 1450-0006 지상2층
2nd row대구광역시 중구 남산동 0812 지상1층
3rd row대구광역시 중구 남산동 2117-0011 지상2층
4th row대구광역시 중구 태평로1가 0009-0002 지상3층
5th row대구광역시 중구 삼덕동2가 0210-0001 지상9층 313호
ValueCountFrequency (%)
대구광역시 1807
22.2%
달서구 359
 
4.4%
수성구 351
 
4.3%
동구 326
 
4.0%
북구 191
 
2.3%
남구 179
 
2.2%
서구 168
 
2.1%
중구 151
 
1.9%
대명동 118
 
1.5%
달성군 82
 
1.0%
Other values (2029) 4396
54.1%
2024-04-21T17:03:30.824113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8054
19.8%
3546
 
8.7%
2172
 
5.3%
1 2057
 
5.0%
1992
 
4.9%
1844
 
4.5%
1811
 
4.4%
1810
 
4.4%
- 1593
 
3.9%
2 1307
 
3.2%
Other values (278) 14565
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21270
52.2%
Decimal Number 9477
23.3%
Space Separator 8054
 
19.8%
Dash Punctuation 1593
 
3.9%
Close Punctuation 153
 
0.4%
Open Punctuation 153
 
0.4%
Uppercase Letter 25
 
0.1%
Other Punctuation 24
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3546
16.7%
2172
 
10.2%
1992
 
9.4%
1844
 
8.7%
1811
 
8.5%
1810
 
8.5%
573
 
2.7%
568
 
2.7%
448
 
2.1%
408
 
1.9%
Other values (252) 6098
28.7%
Decimal Number
ValueCountFrequency (%)
1 2057
21.7%
2 1307
13.8%
0 1202
12.7%
3 1003
10.6%
4 773
 
8.2%
5 705
 
7.4%
6 656
 
6.9%
7 619
 
6.5%
8 613
 
6.5%
9 542
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
32.0%
A 7
28.0%
C 4
16.0%
D 2
 
8.0%
M 1
 
4.0%
R 1
 
4.0%
N 1
 
4.0%
S 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
. 2
 
8.3%
Space Separator
ValueCountFrequency (%)
8054
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21270
52.2%
Common 19455
47.7%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3546
16.7%
2172
 
10.2%
1992
 
9.4%
1844
 
8.7%
1811
 
8.5%
1810
 
8.5%
573
 
2.7%
568
 
2.7%
448
 
2.1%
408
 
1.9%
Other values (252) 6098
28.7%
Common
ValueCountFrequency (%)
8054
41.4%
1 2057
 
10.6%
- 1593
 
8.2%
2 1307
 
6.7%
0 1202
 
6.2%
3 1003
 
5.2%
4 773
 
4.0%
5 705
 
3.6%
6 656
 
3.4%
7 619
 
3.2%
Other values (7) 1486
 
7.6%
Latin
ValueCountFrequency (%)
B 8
30.8%
A 7
26.9%
C 4
15.4%
D 2
 
7.7%
M 1
 
3.8%
R 1
 
3.8%
e 1
 
3.8%
N 1
 
3.8%
S 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21270
52.2%
ASCII 19481
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8054
41.3%
1 2057
 
10.6%
- 1593
 
8.2%
2 1307
 
6.7%
0 1202
 
6.2%
3 1003
 
5.1%
4 773
 
4.0%
5 705
 
3.6%
6 656
 
3.4%
7 619
 
3.2%
Other values (16) 1512
 
7.8%
Hangul
ValueCountFrequency (%)
3546
16.7%
2172
 
10.2%
1992
 
9.4%
1844
 
8.7%
1811
 
8.5%
1810
 
8.5%
573
 
2.7%
568
 
2.7%
448
 
2.1%
408
 
1.9%
Other values (252) 6098
28.7%

도로명전체주소
Text

MISSING 

Distinct1151
Distinct (%)94.9%
Missing595
Missing (%)32.9%
Memory size14.2 KiB
2024-04-21T17:03:32.175276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length29.52432
Min length20

Characters and Unicode

Total characters35813
Distinct characters316
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1100 ?
Unique (%)90.7%

Sample

1st row대구광역시 중구 달구벌대로 1935 (대신동, 지상2층)
2nd row대구광역시 중구 2·28길 10-27 (남산동, 지상1층)
3rd row대구광역시 중구 명덕로35길 3 (남산동, 지상2층)
4th row대구광역시 중구 태평로 180 (태평로1가, 지상3층)
5th row대구광역시 중구 동덕로 115 (삼덕동2가, 지상9층 313호)
ValueCountFrequency (%)
대구광역시 1213
 
16.6%
달서구 257
 
3.5%
1층 256
 
3.5%
수성구 220
 
3.0%
동구 217
 
3.0%
2층 209
 
2.9%
남구 129
 
1.8%
북구 122
 
1.7%
중구 103
 
1.4%
3층 101
 
1.4%
Other values (1610) 4493
61.4%
2024-04-21T17:03:33.816585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6107
 
17.1%
2510
 
7.0%
1640
 
4.6%
1560
 
4.4%
1 1398
 
3.9%
1258
 
3.5%
1219
 
3.4%
1218
 
3.4%
) 1208
 
3.4%
( 1208
 
3.4%
Other values (306) 16487
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20167
56.3%
Space Separator 6107
 
17.1%
Decimal Number 5829
 
16.3%
Close Punctuation 1208
 
3.4%
Open Punctuation 1208
 
3.4%
Other Punctuation 1024
 
2.9%
Dash Punctuation 235
 
0.7%
Uppercase Letter 32
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2510
 
12.4%
1640
 
8.1%
1560
 
7.7%
1258
 
6.2%
1219
 
6.0%
1218
 
6.0%
1174
 
5.8%
839
 
4.2%
619
 
3.1%
479
 
2.4%
Other values (280) 7651
37.9%
Decimal Number
ValueCountFrequency (%)
1 1398
24.0%
2 1044
17.9%
3 702
12.0%
4 496
 
8.5%
0 475
 
8.1%
5 412
 
7.1%
7 392
 
6.7%
6 373
 
6.4%
8 290
 
5.0%
9 247
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 13
40.6%
B 8
25.0%
C 5
 
15.6%
R 2
 
6.2%
D 2
 
6.2%
M 1
 
3.1%
N 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 1022
99.8%
. 1
 
0.1%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20167
56.3%
Common 15613
43.6%
Latin 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2510
 
12.4%
1640
 
8.1%
1560
 
7.7%
1258
 
6.2%
1219
 
6.0%
1218
 
6.0%
1174
 
5.8%
839
 
4.2%
619
 
3.1%
479
 
2.4%
Other values (280) 7651
37.9%
Common
ValueCountFrequency (%)
6107
39.1%
1 1398
 
9.0%
) 1208
 
7.7%
( 1208
 
7.7%
2 1044
 
6.7%
, 1022
 
6.5%
3 702
 
4.5%
4 496
 
3.2%
0 475
 
3.0%
5 412
 
2.6%
Other values (8) 1541
 
9.9%
Latin
ValueCountFrequency (%)
A 13
39.4%
B 8
24.2%
C 5
 
15.2%
R 2
 
6.1%
D 2
 
6.1%
M 1
 
3.0%
e 1
 
3.0%
N 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20167
56.3%
ASCII 15645
43.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6107
39.0%
1 1398
 
8.9%
) 1208
 
7.7%
( 1208
 
7.7%
2 1044
 
6.7%
, 1022
 
6.5%
3 702
 
4.5%
4 496
 
3.2%
0 475
 
3.0%
5 412
 
2.6%
Other values (15) 1573
 
10.1%
Hangul
ValueCountFrequency (%)
2510
 
12.4%
1640
 
8.1%
1560
 
7.7%
1258
 
6.2%
1219
 
6.0%
1218
 
6.0%
1174
 
5.8%
839
 
4.2%
619
 
3.1%
479
 
2.4%
Other values (280) 7651
37.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct610
Distinct (%)50.7%
Missing605
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean42060.661
Minimum41005
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:34.066842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41110.1
Q141561.5
median42117
Q342613
95-th percentile42914.9
Maximum43023
Range2018
Interquartile range (IQR)1051.5

Descriptive statistics

Standard deviation578.41648
Coefficient of variation (CV)0.013751959
Kurtosis-1.1315903
Mean42060.661
Median Absolute Deviation (MAD)522
Skewness-0.22419725
Sum50598975
Variance334565.62
MonotonicityNot monotonic
2024-04-21T17:03:34.335714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42661 11
 
0.6%
42612 9
 
0.5%
42739 8
 
0.4%
42679 8
 
0.4%
42022 8
 
0.4%
42696 8
 
0.4%
42132 8
 
0.4%
42664 8
 
0.4%
42449 7
 
0.4%
42251 7
 
0.4%
Other values (600) 1121
62.0%
(Missing) 605
33.5%
ValueCountFrequency (%)
41005 1
 
0.1%
41017 3
0.2%
41026 3
0.2%
41029 1
 
0.1%
41030 1
 
0.1%
41034 3
0.2%
41035 1
 
0.1%
41036 3
0.2%
41042 1
 
0.1%
41048 1
 
0.1%
ValueCountFrequency (%)
43023 1
0.1%
43017 2
0.1%
43009 1
0.1%
43004 1
0.1%
43002 1
0.1%
42999 2
0.1%
42998 1
0.1%
42996 1
0.1%
42985 1
0.1%
42981 1
0.1%
Distinct1517
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2024-04-21T17:03:35.045550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.2361726
Min length1

Characters and Unicode

Total characters13083
Distinct characters471
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1292 ?
Unique (%)71.5%

Sample

1st row(주)화성에이치알
2nd row강진
3rd row광진
4th row대구종합청소
5th row씨에스아이디지(CSI:DG)
ValueCountFrequency (%)
주식회사 67
 
3.4%
22
 
1.1%
청소박사 8
 
0.4%
하이캅주식회사 7
 
0.4%
대상비에이치 6
 
0.3%
오성씨에스티(주 5
 
0.3%
주)상원에스앤씨 5
 
0.3%
주)대호씨앤에스 5
 
0.3%
주)대성티에스 5
 
0.3%
청마루 5
 
0.3%
Other values (1562) 1849
93.2%
2024-04-21T17:03:35.966185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1026
 
7.8%
) 925
 
7.1%
( 914
 
7.0%
395
 
3.0%
327
 
2.5%
303
 
2.3%
267
 
2.0%
258
 
2.0%
238
 
1.8%
227
 
1.7%
Other values (461) 8203
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10801
82.6%
Close Punctuation 925
 
7.1%
Open Punctuation 914
 
7.0%
Space Separator 179
 
1.4%
Uppercase Letter 147
 
1.1%
Lowercase Letter 53
 
0.4%
Other Punctuation 42
 
0.3%
Decimal Number 16
 
0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1026
 
9.5%
395
 
3.7%
327
 
3.0%
303
 
2.8%
267
 
2.5%
258
 
2.4%
238
 
2.2%
227
 
2.1%
227
 
2.1%
213
 
2.0%
Other values (411) 7320
67.8%
Uppercase Letter
ValueCountFrequency (%)
S 29
19.7%
C 28
19.0%
M 18
12.2%
E 12
8.2%
K 11
 
7.5%
T 8
 
5.4%
O 5
 
3.4%
D 5
 
3.4%
G 5
 
3.4%
N 4
 
2.7%
Other values (11) 22
15.0%
Lowercase Letter
ValueCountFrequency (%)
o 8
15.1%
n 8
15.1%
e 6
11.3%
c 5
9.4%
a 5
9.4%
l 4
7.5%
i 3
 
5.7%
t 3
 
5.7%
d 3
 
5.7%
h 2
 
3.8%
Other values (5) 6
11.3%
Decimal Number
ValueCountFrequency (%)
1 9
56.2%
9 3
 
18.8%
2 1
 
6.2%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 32
76.2%
& 9
 
21.4%
: 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 914
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10805
82.6%
Common 2078
 
15.9%
Latin 200
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1026
 
9.5%
395
 
3.7%
327
 
3.0%
303
 
2.8%
267
 
2.5%
258
 
2.4%
238
 
2.2%
227
 
2.1%
227
 
2.1%
213
 
2.0%
Other values (412) 7324
67.8%
Latin
ValueCountFrequency (%)
S 29
14.5%
C 28
14.0%
M 18
 
9.0%
E 12
 
6.0%
K 11
 
5.5%
T 8
 
4.0%
o 8
 
4.0%
n 8
 
4.0%
e 6
 
3.0%
c 5
 
2.5%
Other values (26) 67
33.5%
Common
ValueCountFrequency (%)
) 925
44.5%
( 914
44.0%
179
 
8.6%
. 32
 
1.5%
1 9
 
0.4%
& 9
 
0.4%
9 3
 
0.1%
- 2
 
0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10801
82.6%
ASCII 2278
 
17.4%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1026
 
9.5%
395
 
3.7%
327
 
3.0%
303
 
2.8%
267
 
2.5%
258
 
2.4%
238
 
2.2%
227
 
2.1%
227
 
2.1%
213
 
2.0%
Other values (411) 7320
67.8%
ASCII
ValueCountFrequency (%)
) 925
40.6%
( 914
40.1%
179
 
7.9%
. 32
 
1.4%
S 29
 
1.3%
C 28
 
1.2%
M 18
 
0.8%
E 12
 
0.5%
K 11
 
0.5%
1 9
 
0.4%
Other values (39) 121
 
5.3%
None
ValueCountFrequency (%)
4
100.0%

최종수정시점
Real number (ℝ)

Distinct1609
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132566 × 1013
Minimum2.0011006 × 1013
Maximum2.0220527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:36.209891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0011006 × 1013
5-th percentile2.0020829 × 1013
Q12.0071018 × 1013
median2.0141004 × 1013
Q32.0191011 × 1013
95-th percentile2.0211206 × 1013
Maximum2.0220527 × 1013
Range2.0952115 × 1011
Interquartile range (IQR)1.1999353 × 1011

Descriptive statistics

Standard deviation6.5861364 × 1010
Coefficient of variation (CV)0.0032713845
Kurtosis-1.2995462
Mean2.0132566 × 1013
Median Absolute Deviation (MAD)5.0689554 × 1010
Skewness-0.35399583
Sum3.6399679 × 1016
Variance4.3377193 × 1021
MonotonicityNot monotonic
2024-04-21T17:03:36.666559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020412000000 20
 
1.1%
20020411000000 12
 
0.7%
20020816000000 12
 
0.7%
20020814000000 11
 
0.6%
20031202000000 11
 
0.6%
20031210000000 10
 
0.6%
20030930000000 8
 
0.4%
20020829000000 8
 
0.4%
20031001000000 8
 
0.4%
20020404000000 7
 
0.4%
Other values (1599) 1701
94.1%
ValueCountFrequency (%)
20011006000000 2
 
0.1%
20020201000000 3
 
0.2%
20020204000000 6
 
0.3%
20020404000000 7
 
0.4%
20020408000000 2
 
0.1%
20020411000000 12
0.7%
20020412000000 20
1.1%
20020501000000 1
 
0.1%
20020715000000 1
 
0.1%
20020725000000 1
 
0.1%
ValueCountFrequency (%)
20220527152409 1
0.1%
20220527101653 1
0.1%
20220523110816 1
0.1%
20220520140957 1
0.1%
20220519165517 1
0.1%
20220518162533 1
0.1%
20220517170247 1
0.1%
20220517164842 1
0.1%
20220513164821 1
0.1%
20220510171641 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
I
1246 
U
562 

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 1246
68.9%
U 562
31.1%

Length

2024-04-21T17:03:36.883436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:37.055423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1246
68.9%
u 562
31.1%
Distinct429
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-29 02:40:00
2024-04-21T17:03:37.248749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:03:37.500995image/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 size14.2 KiB
건물위생관리업
1789 
건물위생관리업 기타
 
19

Length

Max length10
Median length7
Mean length7.0315265
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 1789
98.9%
건물위생관리업 기타 19
 
1.1%

Length

2024-04-21T17:03:37.740788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:37.940812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 1808
99.0%
기타 19
 
1.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1483
Distinct (%)83.3%
Missing28
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean343613.18
Minimum326210.51
Maximum358663.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:38.137414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326210.51
5-th percentile335568
Q1340224.84
median343838.19
Q3346684.52
95-th percentile353152.55
Maximum358663.13
Range32452.624
Interquartile range (IQR)6459.6744

Descriptive statistics

Standard deviation4913.4093
Coefficient of variation (CV)0.014299246
Kurtosis0.52551845
Mean343613.18
Median Absolute Deviation (MAD)3212.1748
Skewness0.026550501
Sum6.1163147 × 108
Variance24141591
MonotonicityNot monotonic
2024-04-21T17:03:38.394512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341316.891342 10
 
0.6%
344686.259338 6
 
0.3%
343573.731766 6
 
0.3%
338880.044416 5
 
0.3%
354441.599326 4
 
0.2%
339442.858472 4
 
0.2%
343307.679331 4
 
0.2%
344912.358902 4
 
0.2%
343843.928958 4
 
0.2%
343372.286819 4
 
0.2%
Other values (1473) 1729
95.6%
(Missing) 28
 
1.5%
ValueCountFrequency (%)
326210.511333 1
0.1%
328039.908607 1
0.1%
328723.884355 1
0.1%
329304.754444 1
0.1%
329636.455817 1
0.1%
330067.502557 1
0.1%
330158.953163 1
0.1%
330159.609349 1
0.1%
330178.690655 1
0.1%
330191.979801 1
0.1%
ValueCountFrequency (%)
358663.134909 1
 
0.1%
358037.876254 1
 
0.1%
356698.367083 1
 
0.1%
356519.71742 1
 
0.1%
356361.266528 3
0.2%
356354.352971 1
 
0.1%
356351.120591 1
 
0.1%
356335.999166 1
 
0.1%
356309.882171 1
 
0.1%
356282.048426 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1483
Distinct (%)83.3%
Missing28
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263192.76
Minimum240434.83
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:38.655086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240434.83
5-th percentile257750.22
Q1261448.05
median263332.03
Q3265103.41
95-th percentile268622.11
Maximum273573.03
Range33138.203
Interquartile range (IQR)3655.3578

Descriptive statistics

Standard deviation3645.8473
Coefficient of variation (CV)0.013852384
Kurtosis5.8874992
Mean263192.76
Median Absolute Deviation (MAD)1827.7488
Skewness-1.0633919
Sum4.6848311 × 108
Variance13292203
MonotonicityNot monotonic
2024-04-21T17:03:38.906120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263332.034503 10
 
0.6%
263958.880864 6
 
0.3%
261561.703079 6
 
0.3%
260454.397717 5
 
0.3%
264935.842866 4
 
0.2%
263814.893956 4
 
0.2%
264290.767739 4
 
0.2%
268253.830253 4
 
0.2%
264721.595597 4
 
0.2%
265533.584398 4
 
0.2%
Other values (1473) 1729
95.6%
(Missing) 28
 
1.5%
ValueCountFrequency (%)
240434.828496 1
0.1%
243936.93126 1
0.1%
244256.0 1
0.1%
244510.0 1
0.1%
244584.666286 1
0.1%
244592.555106 1
0.1%
244870.803521 1
0.1%
245067.112646 1
0.1%
245077.466013 1
0.1%
245096.11462 2
0.1%
ValueCountFrequency (%)
273573.031508 1
 
0.1%
273548.124057 3
0.2%
273403.295146 1
 
0.1%
273399.187427 1
 
0.1%
273256.398256 1
 
0.1%
273085.642493 1
 
0.1%
273071.732817 1
 
0.1%
272984.209477 1
 
0.1%
272892.862308 1
 
0.1%
272889.980552 1
 
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
건물위생관리업
1789 
건물위생관리업 기타
 
19

Length

Max length10
Median length7
Mean length7.0315265
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 1789
98.9%
건물위생관리업 기타 19
 
1.1%

Length

2024-04-21T17:03:39.155175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:39.341533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 1808
99.0%
기타 19
 
1.0%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)1.4%
Missing175
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean3.1916718
Minimum0
Maximum31
Zeros304
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:39.506323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile8
Maximum31
Range31
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.3242837
Coefficient of variation (CV)1.0415494
Kurtosis18.445057
Mean3.1916718
Median Absolute Deviation (MAD)1
Skewness3.523529
Sum5212
Variance11.050862
MonotonicityNot monotonic
2024-04-21T17:03:39.716033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 423
23.4%
0 304
16.8%
4 296
16.4%
2 264
14.6%
5 146
 
8.1%
1 83
 
4.6%
6 24
 
1.3%
15 16
 
0.9%
9 11
 
0.6%
20 11
 
0.6%
Other values (13) 55
 
3.0%
(Missing) 175
9.7%
ValueCountFrequency (%)
0 304
16.8%
1 83
 
4.6%
2 264
14.6%
3 423
23.4%
4 296
16.4%
5 146
 
8.1%
6 24
 
1.3%
7 7
 
0.4%
8 10
 
0.6%
9 11
 
0.6%
ValueCountFrequency (%)
31 2
 
0.1%
29 1
 
0.1%
26 2
 
0.1%
23 1
 
0.1%
21 5
 
0.3%
20 11
0.6%
16 1
 
0.1%
15 16
0.9%
14 5
 
0.3%
13 1
 
0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.6%
Missing349
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean0.59629883
Minimum0
Maximum9
Zeros789
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:39.916209image/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 deviation0.94832898
Coefficient of variation (CV)1.5903586
Kurtosis18.653707
Mean0.59629883
Median Absolute Deviation (MAD)0
Skewness3.6069796
Sum870
Variance0.89932786
MonotonicityNot monotonic
2024-04-21T17:03:40.089768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 789
43.6%
1 590
32.6%
2 39
 
2.2%
6 19
 
1.1%
3 11
 
0.6%
4 6
 
0.3%
5 3
 
0.2%
9 1
 
0.1%
7 1
 
0.1%
(Missing) 349
19.3%
ValueCountFrequency (%)
0 789
43.6%
1 590
32.6%
2 39
 
2.2%
3 11
 
0.6%
4 6
 
0.3%
5 3
 
0.2%
6 19
 
1.1%
7 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
7 1
 
0.1%
6 19
 
1.1%
5 3
 
0.2%
4 6
 
0.3%
3 11
 
0.6%
2 39
 
2.2%
1 590
32.6%
0 789
43.6%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.3%
Missing258
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean2.0432258
Minimum0
Maximum21
Zeros175
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:40.275098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.124909
Coefficient of variation (CV)1.0399776
Kurtosis22.391587
Mean2.0432258
Median Absolute Deviation (MAD)1
Skewness3.8685726
Sum3167
Variance4.5152381
MonotonicityNot monotonic
2024-04-21T17:03:40.476572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 568
31.4%
2 403
22.3%
3 219
 
12.1%
0 175
 
9.7%
4 87
 
4.8%
5 43
 
2.4%
7 9
 
0.5%
6 8
 
0.4%
9 7
 
0.4%
11 6
 
0.3%
Other values (10) 25
 
1.4%
(Missing) 258
14.3%
ValueCountFrequency (%)
0 175
 
9.7%
1 568
31.4%
2 403
22.3%
3 219
 
12.1%
4 87
 
4.8%
5 43
 
2.4%
6 8
 
0.4%
7 9
 
0.5%
8 5
 
0.3%
9 7
 
0.4%
ValueCountFrequency (%)
21 1
 
0.1%
20 1
 
0.1%
19 2
 
0.1%
17 1
 
0.1%
16 2
 
0.1%
15 2
 
0.1%
14 4
0.2%
13 3
0.2%
11 6
0.3%
10 4
0.2%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.4%
Missing393
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean2.1088339
Minimum0
Maximum21
Zeros131
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:40.676912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1603407
Coefficient of variation (CV)1.0244243
Kurtosis22.370248
Mean2.1088339
Median Absolute Deviation (MAD)1
Skewness3.9141424
Sum2984
Variance4.6670718
MonotonicityNot monotonic
2024-04-21T17:03:40.875148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 525
29.0%
2 374
20.7%
3 211
11.7%
0 131
 
7.2%
4 82
 
4.5%
5 39
 
2.2%
7 9
 
0.5%
6 8
 
0.4%
11 6
 
0.3%
9 5
 
0.3%
Other values (10) 25
 
1.4%
(Missing) 393
21.7%
ValueCountFrequency (%)
0 131
 
7.2%
1 525
29.0%
2 374
20.7%
3 211
11.7%
4 82
 
4.5%
5 39
 
2.2%
6 8
 
0.4%
7 9
 
0.5%
8 5
 
0.3%
9 5
 
0.3%
ValueCountFrequency (%)
21 1
 
0.1%
20 1
 
0.1%
19 2
 
0.1%
17 1
 
0.1%
16 2
 
0.1%
15 2
 
0.1%
14 4
0.2%
13 3
0.2%
11 6
0.3%
10 4
0.2%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1076 
<NA>
658 
1
 
72
6
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.0918142
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1076
59.5%
<NA> 658
36.4%
1 72
 
4.0%
6 1
 
0.1%
2 1
 
0.1%

Length

2024-04-21T17:03:41.093342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:41.288541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1076
59.5%
na 658
36.4%
1 72
 
4.0%
6 1
 
0.1%
2 1
 
0.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
952 
<NA>
790 
1
 
64
6
 
1
2
 
1

Length

Max length4
Median length1
Mean length2.3108407
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 952
52.7%
<NA> 790
43.7%
1 64
 
3.5%
6 1
 
0.1%
2 1
 
0.1%

Length

2024-04-21T17:03:41.494591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:41.687594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 952
52.7%
na 790
43.7%
1 64
 
3.5%
6 1
 
0.1%
2 1
 
0.1%

한실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1293 
<NA>
515 

Length

Max length4
Median length1
Mean length1.8545354
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1293
71.5%
<NA> 515
 
28.5%

Length

2024-04-21T17:03:41.950174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:42.279530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1293
71.5%
na 515
 
28.5%

양실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1293 
<NA>
515 

Length

Max length4
Median length1
Mean length1.8545354
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1293
71.5%
<NA> 515
 
28.5%

Length

2024-04-21T17:03:42.639860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:42.969302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1293
71.5%
na 515
 
28.5%

욕실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1293 
<NA>
515 

Length

Max length4
Median length1
Mean length1.8545354
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1293
71.5%
<NA> 515
 
28.5%

Length

2024-04-21T17:03:43.329823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:43.659593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1293
71.5%
na 515
 
28.5%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing45
Missing (%)2.5%
Memory size3.7 KiB
False
1763 
(Missing)
 
45
ValueCountFrequency (%)
False 1763
97.5%
(Missing) 45
 
2.5%
2024-04-21T17:03:43.940368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1291 
<NA>
510 
3
 
5
4
 
2

Length

Max length4
Median length1
Mean length1.8462389
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1291
71.4%
<NA> 510
 
28.2%
3 5
 
0.3%
4 2
 
0.1%

Length

2024-04-21T17:03:44.292840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:44.634648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1291
71.4%
na 510
 
28.2%
3 5
 
0.3%
4 2
 
0.1%

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1807
Missing (%)99.9%
Memory size14.2 KiB
2024-04-21T17:03:45.455369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length37
Mean length37
Min length37

Characters and Unicode

Total characters37
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row먼지, 일산화탄소, 이산화탄소를 측정하는 측정장비를 갖추지 아니함.
ValueCountFrequency (%)
먼지 1
14.3%
일산화탄소 1
14.3%
이산화탄소를 1
14.3%
측정하는 1
14.3%
측정장비를 1
14.3%
갖추지 1
14.3%
아니함 1
14.3%
2024-04-21T17:03:46.469714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
16.2%
2
 
5.4%
, 2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
Other values (13) 13
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
75.7%
Space Separator 6
 
16.2%
Other Punctuation 3
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (10) 10
35.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
75.7%
Common 9
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
6
66.7%
, 2
 
22.2%
. 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
75.7%
ASCII 9
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
66.7%
, 2
 
22.2%
. 1
 
11.1%
Hangul
ValueCountFrequency (%)
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
Other values (10) 10
35.7%

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1808
Missing (%)100.0%
Memory size16.0 KiB
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
임대
1106 
<NA>
642 
자가
 
60

Length

Max length4
Median length2
Mean length2.710177
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 1106
61.2%
<NA> 642
35.5%
자가 60
 
3.3%

Length

2024-04-21T17:03:46.902975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:47.255001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 1106
61.2%
na 642
35.5%
자가 60
 
3.3%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1159 
<NA>
649 

Length

Max length4
Median length1
Mean length2.0768805
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1159
64.1%
<NA> 649
35.9%

Length

2024-04-21T17:03:47.621052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:47.952849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1159
64.1%
na 649
35.9%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)2.8%
Missing1374
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.93548387
Minimum0
Maximum80
Zeros296
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:48.250318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum80
Range80
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.0613314
Coefficient of variation (CV)5.4103887
Kurtosis169.78282
Mean0.93548387
Median Absolute Deviation (MAD)0
Skewness12.329412
Sum406
Variance25.617075
MonotonicityNot monotonic
2024-04-21T17:03:48.623204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 296
 
16.4%
1 90
 
5.0%
2 30
 
1.7%
3 7
 
0.4%
10 3
 
0.2%
5 2
 
0.1%
35 1
 
0.1%
4 1
 
0.1%
54 1
 
0.1%
80 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1374
76.0%
ValueCountFrequency (%)
0 296
16.4%
1 90
 
5.0%
2 30
 
1.7%
3 7
 
0.4%
4 1
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
10 3
 
0.2%
16 1
 
0.1%
35 1
 
0.1%
ValueCountFrequency (%)
80 1
 
0.1%
54 1
 
0.1%
35 1
 
0.1%
16 1
 
0.1%
10 3
 
0.2%
6 1
 
0.1%
5 2
 
0.1%
4 1
 
0.1%
3 7
 
0.4%
2 30
1.7%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)4.4%
Missing1193
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean3.9414634
Minimum0
Maximum500
Zeros207
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size16.0 KiB
2024-04-21T17:03:48.997645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum500
Range500
Interquartile range (IQR)3

Descriptive statistics

Standard deviation23.501608
Coefficient of variation (CV)5.9626603
Kurtosis332.31002
Mean3.9414634
Median Absolute Deviation (MAD)1
Skewness16.783697
Sum2424
Variance552.32556
MonotonicityNot monotonic
2024-04-21T17:03:49.387836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 207
 
11.4%
1 153
 
8.5%
2 97
 
5.4%
3 64
 
3.5%
4 29
 
1.6%
5 20
 
1.1%
6 12
 
0.7%
10 6
 
0.3%
7 4
 
0.2%
8 3
 
0.2%
Other values (17) 20
 
1.1%
(Missing) 1193
66.0%
ValueCountFrequency (%)
0 207
11.4%
1 153
8.5%
2 97
5.4%
3 64
 
3.5%
4 29
 
1.6%
5 20
 
1.1%
6 12
 
0.7%
7 4
 
0.2%
8 3
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
500 1
0.1%
180 1
0.1%
149 1
0.1%
105 1
0.1%
104 1
0.1%
67 1
0.1%
56 1
0.1%
53 1
0.1%
52 1
0.1%
40 1
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1060 
<NA>
748 

Length

Max length4
Median length1
Mean length2.2411504
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1060
58.6%
<NA> 748
41.4%

Length

2024-04-21T17:03:49.798343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:50.122595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1060
58.6%
na 748
41.4%

침대수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
0
1046 
<NA>
762 

Length

Max length4
Median length1
Mean length2.2643805
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1046
57.9%
<NA> 762
42.1%

Length

2024-04-21T17:03:50.475946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:03:50.799821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1046
57.9%
na 762
42.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1803 
True
 
5
ValueCountFrequency (%)
False 1803
99.7%
True 5
 
0.3%
2024-04-21T17:03:51.082361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01건물위생관리업09_30_04_P34100003410000-206-2012-0000720121210<NA>3폐업2폐업20180426<NA><NA><NA>053 751886682.5700819대구광역시 중구 대신동 1450-0006 지상2층대구광역시 중구 달구벌대로 1935 (대신동, 지상2층)41930(주)화성에이치알20180430115448I2018-08-31 23:59:59.0건물위생관리업342275.045934263717.955016건물위생관리업512200000N0<NA><NA><NA><NA>0<NA><NA>00N
12건물위생관리업09_30_04_P34100003410000-206-2012-0000820121213<NA>3폐업2폐업20170403<NA><NA><NA><NA>49.5700826대구광역시 중구 남산동 0812 지상1층대구광역시 중구 2·28길 10-27 (남산동, 지상1층)41968강진20170403184719I2018-08-31 23:59:59.0건물위생관리업343627.358139263282.138393건물위생관리업401100000N0<NA><NA><NA>임대0<NA><NA>00N
23건물위생관리업09_30_04_P34100003410000-206-2012-0000920121217<NA>3폐업2폐업20180416<NA><NA><NA><NA>61.2700804대구광역시 중구 남산동 2117-0011 지상2층대구광역시 중구 명덕로35길 3 (남산동, 지상2층)41972광진20180416143844I2018-08-31 23:59:59.0건물위생관리업343353.676235263035.039408건물위생관리업202200000N0<NA><NA><NA><NA>0<NA><NA>00N
34건물위생관리업09_30_04_P34100003410000-206-2014-0000320140415<NA>3폐업2폐업20141125<NA><NA><NA>053 425885849.5700111대구광역시 중구 태평로1가 0009-0002 지상3층대구광역시 중구 태평로 180 (태평로1가, 지상3층)41910대구종합청소20140421152055I2018-08-31 23:59:59.0건물위생관리업344178.718073264969.376778건물위생관리업413300000N0<NA><NA><NA>임대0<NA><NA>00N
45건물위생관리업09_30_04_P34100003410000-206-2014-0000220140310<NA>3폐업2폐업20151231<NA><NA><NA><NA>2.64700412대구광역시 중구 삼덕동2가 0210-0001 지상9층 313호대구광역시 중구 동덕로 115 (삼덕동2가, 지상9층 313호)41940씨에스아이디지(CSI:DG)20140321180626I2018-08-31 23:59:59.0건물위생관리업344686.259338263958.880864건물위생관리업2069<NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
56건물위생관리업09_30_04_P34100003410000-206-2013-0000620130913<NA>3폐업2폐업20150617<NA><NA><NA>053 2931106132.0700412대구광역시 중구 삼덕동2가 0210-0001 지상19층 1호대구광역시 중구 동덕로 115 (삼덕동2가, 지상19층 1호)41940(주)피플스토리20140812150513I2018-08-31 23:59:59.0건물위생관리업344686.259338263958.880864건물위생관리업206191900000N0<NA><NA><NA><NA>0<NA><NA>00N
67건물위생관리업09_30_04_P34100003410000-206-2011-0000220110531<NA>3폐업2폐업20170415<NA><NA><NA>053 622662354.69700847대구광역시 중구 동인동4가 0442-0001 지상3층대구광역시 중구 국채보상로 736-10 (동인동4가, 지상3층)41946(주)다우씨앤씨20170417144454I2018-08-31 23:59:59.0건물위생관리업345425.894431264282.102634건물위생관리업303300000N0<NA><NA><NA>임대0<NA><NA>00N
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17981799건물위생관리업09_30_04_P34800003480000-206-2014-0000320141008<NA>3폐업2폐업20161013<NA><NA><NA><NA>26.76711841대구광역시 달성군 옥포읍 간경리 847대구광역시 달성군 옥포읍 비슬로 2277, 2층 (주4동)42972자연조경주식회사20161011134851I2018-08-31 23:59:59.0건물위생관리업332847.891789255493.550694건물위생관리업000000000N0<NA><NA><NA><NA>0<NA><NA>00N
17991800건물위생관리업09_30_04_P34800003480000-206-2014-0000420141013<NA>3폐업2폐업20141021<NA><NA><NA><NA>0.0711838대구광역시 달성군 화원읍 본리리 101-2대구광역시 달성군 화원읍 성암로 16-13, 1층42966말끔이청소20141013134926I2018-08-31 23:59:59.0건물위생관리업336338.430947256722.37255건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
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18021803건물위생관리업09_30_04_P34800003480000-206-2005-0000120050804<NA>3폐업2폐업20110902<NA><NA><NA>053 616722045.36711872대구광역시 달성군 현풍읍 부리 433-1 외 3필지 D동 404호<NA><NA>다전청소용역20110113104700I2018-08-31 23:59:59.0건물위생관리업330587.113717245077.466013건물위생관리업2<NA>11<NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N
18031804건물위생관리업09_30_04_P34800003480000-206-2003-0000220031018<NA>3폐업2폐업20041126<NA><NA><NA>053 6159041143.32711852대구광역시 달성군 논공읍 북리 803-230<NA><NA>(주)순성20031018000000I2018-08-31 23:59:59.0건물위생관리업330849.587604248778.313232건물위생관리업31<NA><NA>11<NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N
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