Overview

Dataset statistics

Number of variables47
Number of observations42
Missing cells319
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory415.1 B

Variable types

Numeric24
Categorical14
Text5
Unsupported4

Dataset

Description22년10월_6270000_대구광역시_01_01_04_P_산후조리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096913&dataSetDetailId=DDI_0000096925&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 is highly imbalanced (72.3%)Imbalance
휴업종료일자 is highly imbalanced (72.3%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 23 (54.8%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
소재지전화 has 3 (7.1%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 9 (21.4%) missing valuesMissing
소재지전체주소 has 5 (11.9%) missing valuesMissing
도로명우편번호 has 15 (35.7%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
모유수유실면적 has 1 (2.4%) missing valuesMissing
급식시설면적 has 10 (23.8%) missing valuesMissing
세탁실면적 has 10 (23.8%) missing valuesMissing
목욕실면적 has 22 (52.4%) missing valuesMissing
조리원화장실면적 has 11 (26.2%) missing valuesMissing
사무실면적 has 14 (33.3%) missing valuesMissing
취사부수 has 12 (28.6%) missing valuesMissing
건물층수 has 5 (11.9%) missing valuesMissing
지상층수 has 11 (26.2%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
임산부실면적 has unique valuesUnique
인허가취소일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
급식시설면적 has 2 (4.8%) zerosZeros
세탁실면적 has 2 (4.8%) zerosZeros
목욕실면적 has 3 (7.1%) zerosZeros
조리원화장실면적 has 2 (4.8%) zerosZeros
사무실면적 has 1 (2.4%) zerosZeros
간호조무사수 has 1 (2.4%) zerosZeros
취사부수 has 3 (7.1%) zerosZeros
건물층수 has 7 (16.7%) zerosZeros
지상층수 has 1 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-18 06:07:55.215917
Analysis finished2024-04-18 06:07:55.704167
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:07:55.810316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-04-18T15:07:55.935931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
산후조리업
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산후조리업 42
100.0%

Length

2024-04-18T15:07:56.054510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:56.140276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산후조리업 42
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
01_01_04_P
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_04_P
2nd row01_01_04_P
3rd row01_01_04_P
4th row01_01_04_P
5th row01_01_04_P

Common Values

ValueCountFrequency (%)
01_01_04_P 42
100.0%

Length

2024-04-18T15:07:56.230764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:56.323058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_04_p 42
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3460476.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:07:56.408225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3430500
Q13452500
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)17500

Descriptive statistics

Standard deviation14971.906
Coefficient of variation (CV)0.0043265449
Kurtosis2.9504831
Mean3460476.2
Median Absolute Deviation (MAD)10000
Skewness-1.5043028
Sum1.4534 × 108
Variance2.2415796 × 108
MonotonicityIncreasing
2024-04-18T15:07:56.519848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 15
35.7%
3460000 12
28.6%
3450000 7
16.7%
3480000 4
 
9.5%
3410000 1
 
2.4%
3420000 1
 
2.4%
3430000 1
 
2.4%
3440000 1
 
2.4%
ValueCountFrequency (%)
3410000 1
 
2.4%
3420000 1
 
2.4%
3430000 1
 
2.4%
3440000 1
 
2.4%
3450000 7
16.7%
3460000 12
28.6%
3470000 15
35.7%
3480000 4
 
9.5%
ValueCountFrequency (%)
3480000 4
 
9.5%
3470000 15
35.7%
3460000 12
28.6%
3450000 7
16.7%
3440000 1
 
2.4%
3430000 1
 
2.4%
3420000 1
 
2.4%
3410000 1
 
2.4%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-18T15:07:56.710059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1050
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st rowPHMB120063410023042100001
2nd rowPHMB120113420023042100001
3rd rowPHMB120153430019042100001
4th rowPHMB120063440024042100001
5th rowPHMB120123450022042100001
ValueCountFrequency (%)
phmb120063410023042100001 1
 
2.4%
phmb120143470022042100001 1
 
2.4%
phmb120173480012042100002 1
 
2.4%
phmb120203470022042100001 1
 
2.4%
phmb120063470022042100002 1
 
2.4%
phmb120143470022042100002 1
 
2.4%
phmb120063470022042100005 1
 
2.4%
phmb120083470022042100001 1
 
2.4%
phmb120123470022042100001 1
 
2.4%
phmb120123470022042100003 1
 
2.4%
Other values (32) 32
76.2%
2024-04-18T15:07:57.017742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 358
34.1%
2 163
15.5%
1 137
 
13.0%
4 93
 
8.9%
3 63
 
6.0%
P 42
 
4.0%
H 42
 
4.0%
M 42
 
4.0%
B 42
 
4.0%
6 27
 
2.6%
Other values (4) 41
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
84.0%
Uppercase Letter 168
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 358
40.6%
2 163
18.5%
1 137
 
15.5%
4 93
 
10.5%
3 63
 
7.1%
6 27
 
3.1%
7 20
 
2.3%
5 10
 
1.1%
8 8
 
0.9%
9 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 42
25.0%
H 42
25.0%
M 42
25.0%
B 42
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 882
84.0%
Latin 168
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 358
40.6%
2 163
18.5%
1 137
 
15.5%
4 93
 
10.5%
3 63
 
7.1%
6 27
 
3.1%
7 20
 
2.3%
5 10
 
1.1%
8 8
 
0.9%
9 3
 
0.3%
Latin
ValueCountFrequency (%)
P 42
25.0%
H 42
25.0%
M 42
25.0%
B 42
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 358
34.1%
2 163
15.5%
1 137
 
13.0%
4 93
 
8.9%
3 63
 
6.0%
P 42
 
4.0%
H 42
 
4.0%
M 42
 
4.0%
B 42
 
4.0%
6 27
 
2.6%
Other values (4) 41
 
3.9%

인허가일자
Real number (ℝ)

Distinct38
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20105121
Minimum20061204
Maximum20200518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:07:57.152962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061204
5-th percentile20061204
Q120061216
median20100976
Q320140292
95-th percentile20170611
Maximum20200518
Range139314
Interquartile range (IQR)79076

Descriptive statistics

Standard deviation41336.349
Coefficient of variation (CV)0.0020560109
Kurtosis-1.0401436
Mean20105121
Median Absolute Deviation (MAD)39704
Skewness0.4096652
Sum8.4441508 × 108
Variance1.7086937 × 109
MonotonicityNot monotonic
2024-04-18T15:07:57.285437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20061204 4
 
9.5%
20061208 2
 
4.8%
20061207 1
 
2.4%
20170616 1
 
2.4%
20061222 1
 
2.4%
20080201 1
 
2.4%
20120405 1
 
2.4%
20120716 1
 
2.4%
20140319 1
 
2.4%
20131118 1
 
2.4%
Other values (28) 28
66.7%
ValueCountFrequency (%)
20061204 4
9.5%
20061206 1
 
2.4%
20061207 1
 
2.4%
20061208 2
4.8%
20061211 1
 
2.4%
20061212 1
 
2.4%
20061215 1
 
2.4%
20061220 1
 
2.4%
20061221 1
 
2.4%
20061222 1
 
2.4%
ValueCountFrequency (%)
20200518 1
2.4%
20170911 1
2.4%
20170616 1
2.4%
20170508 1
2.4%
20170413 1
2.4%
20150702 1
2.4%
20140918 1
2.4%
20140630 1
2.4%
20140429 1
2.4%
20140402 1
2.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
22 
3
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
52.4%
3 20
47.6%

Length

2024-04-18T15:07:57.409982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:57.502975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
52.4%
3 20
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
22 
폐업
20 

Length

Max length5
Median length5
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
52.4%
폐업 20
47.6%

Length

2024-04-18T15:07:57.614801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:57.731106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
52.4%
폐업 20
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
13
22 
3
20 

Length

Max length2
Median length2
Mean length1.5238095
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row13
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 22
52.4%
3 20
47.6%

Length

2024-04-18T15:07:57.840542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:57.954859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 22
52.4%
3 20
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
22 
폐업
20 

Length

Max length3
Median length3
Mean length2.5238095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 22
52.4%
폐업 20
47.6%

Length

2024-04-18T15:07:58.058433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:58.151772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 22
52.4%
폐업 20
47.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing23
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean20168081
Minimum20090320
Maximum20210825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:07:58.247196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090320
5-th percentile20099322
Q120155869
median20180504
Q320185930
95-th percentile20210560
Maximum20210825
Range120505
Interquartile range (IQR)30060.5

Descriptive statistics

Standard deviation33192.209
Coefficient of variation (CV)0.0016457793
Kurtosis0.8097682
Mean20168081
Median Absolute Deviation (MAD)19380
Skewness-1.0764097
Sum3.8319353 × 108
Variance1.1017227 × 109
MonotonicityNot monotonic
2024-04-18T15:07:58.358875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20090320 1
 
2.4%
20131231 1
 
2.4%
20190828 1
 
2.4%
20180731 1
 
2.4%
20140409 1
 
2.4%
20210531 1
 
2.4%
20160831 1
 
2.4%
20181031 1
 
2.4%
20100322 1
 
2.4%
20180630 1
 
2.4%
Other values (9) 9
 
21.4%
(Missing) 23
54.8%
ValueCountFrequency (%)
20090320 1
2.4%
20100322 1
2.4%
20131231 1
2.4%
20140409 1
2.4%
20150907 1
2.4%
20160831 1
2.4%
20161124 1
2.4%
20171130 1
2.4%
20180112 1
2.4%
20180504 1
2.4%
ValueCountFrequency (%)
20210825 1
2.4%
20210531 1
2.4%
20200518 1
2.4%
20191021 1
2.4%
20190828 1
2.4%
20181031 1
2.4%
20180731 1
2.4%
20180630 1
2.4%
20180528 1
2.4%
20180504 1
2.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
20180306
 
1
20210301
 
1
20171109
 
1
20130905
 
1

Length

Max length8
Median length4
Mean length4.3809524
Min length4

Unique

Unique4 ?
Unique (%)9.5%

Sample

1st row20180306
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
90.5%
20180306 1
 
2.4%
20210301 1
 
2.4%
20171109 1
 
2.4%
20130905 1
 
2.4%

Length

2024-04-18T15:07:58.504572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:58.621098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
20180306 1
 
2.4%
20210301 1
 
2.4%
20171109 1
 
2.4%
20130905 1
 
2.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
20190305
 
1
20210430
 
1
20191108
 
1
20131031
 
1

Length

Max length8
Median length4
Mean length4.3809524
Min length4

Unique

Unique4 ?
Unique (%)9.5%

Sample

1st row20190305
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
90.5%
20190305 1
 
2.4%
20210430 1
 
2.4%
20191108 1
 
2.4%
20131031 1
 
2.4%

Length

2024-04-18T15:07:58.743543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:07:58.859167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
20190305 1
 
2.4%
20210430 1
 
2.4%
20191108 1
 
2.4%
20131031 1
 
2.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지전화
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing3
Missing (%)7.1%
Memory size468.0 B
2024-04-18T15:07:59.051976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.641026
Min length8

Characters and Unicode

Total characters415
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row0532551020
2nd row963-6663
3rd row053-562-0100
4th row951-7773
5th row053-958-1500
ValueCountFrequency (%)
0532551020 1
 
2.6%
053-636-2221 1
 
2.6%
053-583-7447 1
 
2.6%
053-667-7537 1
 
2.6%
053-640-1081 1
 
2.6%
053-640-1070 1
 
2.6%
053-630-5200 1
 
2.6%
053-609-5171 1
 
2.6%
053)667-7575 1
 
2.6%
285-7000 1
 
2.6%
Other values (29) 29
74.4%
2024-04-18T15:07:59.420839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
19.3%
5 66
15.9%
- 61
14.7%
7 46
11.1%
3 42
10.1%
6 29
 
7.0%
2 27
 
6.5%
1 27
 
6.5%
8 13
 
3.1%
9 12
 
2.9%
Other values (2) 12
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
84.8%
Dash Punctuation 61
 
14.7%
Close Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
22.7%
5 66
18.8%
7 46
13.1%
3 42
11.9%
6 29
 
8.2%
2 27
 
7.7%
1 27
 
7.7%
8 13
 
3.7%
9 12
 
3.4%
4 10
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
19.3%
5 66
15.9%
- 61
14.7%
7 46
11.1%
3 42
10.1%
6 29
 
7.0%
2 27
 
6.5%
1 27
 
6.5%
8 13
 
3.1%
9 12
 
2.9%
Other values (2) 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
19.3%
5 66
15.9%
- 61
14.7%
7 46
11.1%
3 42
10.1%
6 29
 
7.0%
2 27
 
6.5%
1 27
 
6.5%
8 13
 
3.1%
9 12
 
2.9%
Other values (2) 12
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)87.9%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean704872.33
Minimum700082
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:07:59.551923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701946
Q1703803
median704836
Q3706020
95-th percentile708827
Maximum711815
Range11733
Interquartile range (IQR)2217

Descriptive statistics

Standard deviation2426.7554
Coefficient of variation (CV)0.0034428297
Kurtosis2.7417982
Mean704872.33
Median Absolute Deviation (MAD)1184
Skewness1.0644431
Sum23260787
Variance5889141.7
MonotonicityNot monotonic
2024-04-18T15:07:59.675415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
702250 2
 
4.8%
704932 2
 
4.8%
704370 2
 
4.8%
706011 2
 
4.8%
706170 1
 
2.4%
711812 1
 
2.4%
711815 1
 
2.4%
704837 1
 
2.4%
704140 1
 
2.4%
704142 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 9
21.4%
ValueCountFrequency (%)
700082 1
2.4%
701847 1
2.4%
702012 1
2.4%
702013 1
2.4%
702250 2
4.8%
702841 1
2.4%
702885 1
2.4%
703803 1
2.4%
704130 1
2.4%
704140 1
2.4%
ValueCountFrequency (%)
711815 1
2.4%
711812 1
2.4%
706837 1
2.4%
706833 1
2.4%
706170 1
2.4%
706091 1
2.4%
706070 1
2.4%
706050 1
2.4%
706020 1
2.4%
706011 2
4.8%

소재지전체주소
Text

MISSING 

Distinct36
Distinct (%)97.3%
Missing5
Missing (%)11.9%
Memory size468.0 B
2024-04-18T15:07:59.922374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.351351
Min length12

Characters and Unicode

Total characters864
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)94.6%

Sample

1st row대구광역시 중구 계산동2가 80번지 1호
2nd row대구광역시 동구 율하동 1113번지 2,3층
3rd row대구광역시 서구 내당동 245번지 7호
4th row대구광역시 남구 봉덕3동 983번지 16호
5th row대구광역시 북구 산격2동 505번지 7호
ValueCountFrequency (%)
대구광역시 37
 
19.4%
달서구 15
 
7.9%
1호 10
 
5.2%
수성구 9
 
4.7%
북구 6
 
3.1%
상인동 4
 
2.1%
진천동 4
 
2.1%
7호 4
 
2.1%
246번지 3
 
1.6%
달성군 3
 
1.6%
Other values (79) 96
50.3%
2024-04-18T15:08:00.311389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
18.1%
구 71
 
8.2%
동 38
 
4.4%
지 37
 
4.3%
대 37
 
4.3%
시 37
 
4.3%
역 37
 
4.3%
광 37
 
4.3%
번 36
 
4.2%
1 34
 
3.9%
Other values (56) 344
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
59.6%
Decimal Number 178
 
20.6%
Space Separator 156
 
18.1%
Math Symbol 3
 
0.3%
Dash Punctuation 3
 
0.3%
Other Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 71
13.8%
동 38
 
7.4%
지 37
 
7.2%
대 37
 
7.2%
시 37
 
7.2%
역 37
 
7.2%
광 37
 
7.2%
번 36
 
7.0%
호 30
 
5.8%
달 18
 
3.5%
Other values (40) 137
26.6%
Decimal Number
ValueCountFrequency (%)
1 34
19.1%
2 33
18.5%
3 23
12.9%
5 20
11.2%
4 13
 
7.3%
0 13
 
7.3%
7 12
 
6.7%
6 11
 
6.2%
8 10
 
5.6%
9 9
 
5.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
59.6%
Common 349
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 71
13.8%
동 38
 
7.4%
지 37
 
7.2%
대 37
 
7.2%
시 37
 
7.2%
역 37
 
7.2%
광 37
 
7.2%
번 36
 
7.0%
호 30
 
5.8%
달 18
 
3.5%
Other values (40) 137
26.6%
Common
ValueCountFrequency (%)
156
44.7%
1 34
 
9.7%
2 33
 
9.5%
3 23
 
6.6%
5 20
 
5.7%
4 13
 
3.7%
0 13
 
3.7%
7 12
 
3.4%
6 11
 
3.2%
8 10
 
2.9%
Other values (6) 24
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
59.6%
ASCII 349
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
44.7%
1 34
 
9.7%
2 33
 
9.5%
3 23
 
6.6%
5 20
 
5.7%
4 13
 
3.7%
0 13
 
3.7%
7 12
 
3.4%
6 11
 
3.2%
8 10
 
2.9%
Other values (6) 24
 
6.9%
Hangul
ValueCountFrequency (%)
구 71
13.8%
동 38
 
7.4%
지 37
 
7.2%
대 37
 
7.2%
시 37
 
7.2%
역 37
 
7.2%
광 37
 
7.2%
번 36
 
7.0%
호 30
 
5.8%
달 18
 
3.5%
Other values (40) 137
26.6%

도로명전체주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-18T15:08:00.571360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length30
Mean length26.190476
Min length21

Characters and Unicode

Total characters1100
Distinct characters101
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 달구벌대로 2047 (계산동2가)
2nd row대구광역시 동구 안심로 54, 2,3층 (율하동)
3rd row대구광역시 서구 서대구로 49, 3~5층 (내당동)
4th row대구광역시 남구 봉덕로 16 (봉덕동)
5th row대구광역시 북구 동북로 117 (산격동)
ValueCountFrequency (%)
대구광역시 42
 
18.7%
달서구 15
 
6.7%
수성구 11
 
4.9%
북구 7
 
3.1%
월배로 7
 
3.1%
달구벌대로 5
 
2.2%
동천동 4
 
1.8%
달성군 4
 
1.8%
진천동 4
 
1.8%
상인동 4
 
1.8%
Other values (103) 122
54.2%
2024-04-18T15:08:00.950079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
16.7%
구 88
 
8.0%
대 51
 
4.6%
동 50
 
4.5%
로 43
 
3.9%
시 42
 
3.8%
역 42
 
3.8%
광 42
 
3.8%
( 40
 
3.6%
) 40
 
3.6%
Other values (91) 478
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
57.5%
Space Separator 184
 
16.7%
Decimal Number 169
 
15.4%
Open Punctuation 40
 
3.6%
Close Punctuation 40
 
3.6%
Other Punctuation 25
 
2.3%
Math Symbol 6
 
0.5%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 88
13.9%
대 51
 
8.1%
동 50
 
7.9%
로 43
 
6.8%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
달 24
 
3.8%
성 19
 
3.0%
서 18
 
2.8%
Other values (75) 213
33.7%
Decimal Number
ValueCountFrequency (%)
1 33
19.5%
2 27
16.0%
6 18
10.7%
3 18
10.7%
4 18
10.7%
0 15
8.9%
5 12
 
7.1%
8 10
 
5.9%
7 10
 
5.9%
9 8
 
4.7%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
57.5%
Common 468
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 88
13.9%
대 51
 
8.1%
동 50
 
7.9%
로 43
 
6.8%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
달 24
 
3.8%
성 19
 
3.0%
서 18
 
2.8%
Other values (75) 213
33.7%
Common
ValueCountFrequency (%)
184
39.3%
( 40
 
8.5%
) 40
 
8.5%
1 33
 
7.1%
2 27
 
5.8%
, 25
 
5.3%
6 18
 
3.8%
3 18
 
3.8%
4 18
 
3.8%
0 15
 
3.2%
Other values (6) 50
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
57.5%
ASCII 468
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
39.3%
( 40
 
8.5%
) 40
 
8.5%
1 33
 
7.1%
2 27
 
5.8%
, 25
 
5.3%
6 18
 
3.8%
3 18
 
3.8%
4 18
 
3.8%
0 15
 
3.2%
Other values (6) 50
 
10.7%
Hangul
ValueCountFrequency (%)
구 88
13.9%
대 51
 
8.1%
동 50
 
7.9%
로 43
 
6.8%
시 42
 
6.6%
역 42
 
6.6%
광 42
 
6.6%
달 24
 
3.8%
성 19
 
3.0%
서 18
 
2.8%
Other values (75) 213
33.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)81.5%
Missing15
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean42215.037
Minimum41151
Maximum43017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:01.071976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41151
5-th percentile41422
Q141693
median42216
Q342771
95-th percentile42971.2
Maximum43017
Range1866
Interquartile range (IQR)1078

Descriptive statistics

Standard deviation579.19868
Coefficient of variation (CV)0.013720198
Kurtosis-1.2393592
Mean42215.037
Median Absolute Deviation (MAD)555
Skewness-0.30499821
Sum1139806
Variance335471.11
MonotonicityNot monotonic
2024-04-18T15:08:01.193722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
42785 2
 
4.8%
41422 2
 
4.8%
41423 2
 
4.8%
42279 2
 
4.8%
42771 2
 
4.8%
42994 1
 
2.4%
43017 1
 
2.4%
42918 1
 
2.4%
42681 1
 
2.4%
42633 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 15
35.7%
ValueCountFrequency (%)
41151 1
2.4%
41422 2
4.8%
41423 2
4.8%
41519 1
2.4%
41535 1
2.4%
41851 1
2.4%
42012 1
2.4%
42038 1
2.4%
42138 1
2.4%
42155 1
2.4%
ValueCountFrequency (%)
43017 1
2.4%
42994 1
2.4%
42918 1
2.4%
42785 2
4.8%
42784 1
2.4%
42771 2
4.8%
42681 1
2.4%
42637 1
2.4%
42633 1
2.4%
42279 2
4.8%

사업장명
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-18T15:08:01.398869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.3571429
Min length2

Characters and Unicode

Total characters351
Distinct characters78
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)85.7%

Sample

1st row미즈산후조리원
2nd row아델리아 산후조리원
3rd row닥터안산후조리원
4th row엄마손 산후조리원
5th row신세계산후조리원
ValueCountFrequency (%)
산후조리원 10
 
18.9%
성모산후조리원 2
 
3.8%
로즈맘산후조리원 2
 
3.8%
류정선산후조리원 2
 
3.8%
본느마망 2
 
3.8%
여성m파크 2
 
3.8%
달서여성메디파크산후조리원 1
 
1.9%
미즈산후조리원 1
 
1.9%
꿈담산후조리원 1
 
1.9%
성모여성산후조리원 1
 
1.9%
Other values (29) 29
54.7%
2024-04-18T15:08:01.728111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 42
 
12.0%
후 38
 
10.8%
원 38
 
10.8%
산 37
 
10.5%
조 37
 
10.5%
11
 
3.1%
성 10
 
2.8%
미 8
 
2.3%
즈 7
 
2.0%
맘 6
 
1.7%
Other values (68) 117
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
94.6%
Space Separator 11
 
3.1%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Uppercase Letter 2
 
0.6%
Math Symbol 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.4%
원 38
 
11.4%
산 37
 
11.1%
조 37
 
11.1%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (62) 103
31.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
94.6%
Common 17
 
4.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.4%
원 38
 
11.4%
산 37
 
11.1%
조 37
 
11.1%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (62) 103
31.0%
Common
ValueCountFrequency (%)
11
64.7%
) 2
 
11.8%
( 2
 
11.8%
> 1
 
5.9%
- 1
 
5.9%
Latin
ValueCountFrequency (%)
M 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
94.6%
ASCII 19
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.4%
원 38
 
11.4%
산 37
 
11.1%
조 37
 
11.1%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (62) 103
31.0%
ASCII
ValueCountFrequency (%)
11
57.9%
) 2
 
10.5%
( 2
 
10.5%
M 2
 
10.5%
> 1
 
5.3%
- 1
 
5.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173318 × 1013
Minimum2.0081118 × 1013
Maximum2.0220131 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:01.887850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081118 × 1013
5-th percentile2.009082 × 1013
Q12.0153566 × 1013
median2.0181031 × 1013
Q32.0200518 × 1013
95-th percentile2.0219639 × 1013
Maximum2.0220131 × 1013
Range1.3901298 × 1011
Interquartile range (IQR)4.6951767 × 1010

Descriptive statistics

Standard deviation3.8464156 × 1010
Coefficient of variation (CV)0.0019066846
Kurtosis0.3204889
Mean2.0173318 × 1013
Median Absolute Deviation (MAD)1.9975557 × 1010
Skewness-1.0404345
Sum8.4727937 × 1014
Variance1.4794913 × 1021
MonotonicityNot monotonic
2024-04-18T15:08:02.042617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20180726181216 1
 
2.4%
20220110112648 1
 
2.4%
20180528143624 1
 
2.4%
20200518144740 1
 
2.4%
20100322151339 1
 
2.4%
20181031145254 1
 
2.4%
20160905101021 1
 
2.4%
20210531154551 1
 
2.4%
20210329162414 1
 
2.4%
20210217131602 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
20081118180625 1
2.4%
20081126151725 1
2.4%
20090320184050 1
2.4%
20100322151339 1
2.4%
20111123140924 1
2.4%
20121217170953 1
2.4%
20140103110406 1
2.4%
20140409164211 1
2.4%
20140702114159 1
2.4%
20150707175300 1
2.4%
ValueCountFrequency (%)
20220131164905 1
2.4%
20220110112648 1
2.4%
20220103165937 1
2.4%
20210825165650 1
2.4%
20210617182043 1
2.4%
20210531154551 1
2.4%
20210510140750 1
2.4%
20210329162414 1
2.4%
20210217131602 1
2.4%
20200629163857 1
2.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
21 
U
21 

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 21
50.0%
U 21
50.0%

Length

2024-04-18T15:08:02.183632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:08:02.279441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
50.0%
u 21
50.0%

데이터갱신일자
Categorical

Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
20 
2019-11-02 02:40:00.0
3 
2018-11-02 02:35:42.0
 
2
2021-08-27 02:40:00.0
 
1
2022-01-05 02:40:00.0
 
1
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)40.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 20
47.6%
2019-11-02 02:40:00.0 3
 
7.1%
2018-11-02 02:35:42.0 2
 
4.8%
2021-08-27 02:40:00.0 1
 
2.4%
2022-01-05 02:40:00.0 1
 
2.4%
2021-05-12 02:40:00.0 1
 
2.4%
2020-07-01 02:40:00.0 1
 
2.4%
2022-02-02 02:40:00.0 1
 
2.4%
2019-12-06 02:40:00.0 1
 
2.4%
2021-06-19 02:40:00.0 1
 
2.4%
Other values (10) 10
23.8%

Length

2024-04-18T15:08:02.376904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 20
23.8%
23:59:59.0 20
23.8%
02:40:00.0 19
22.6%
2019-11-02 3
 
3.6%
2020-05-20 2
 
2.4%
2018-11-02 2
 
2.4%
02:35:42.0 2
 
2.4%
2019-08-30 1
 
1.2%
2018-12-13 1
 
1.2%
2022-01-12 1
 
1.2%
Other values (13) 13
15.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341724.06
Minimum331515
Maximum355272.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:02.485864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331515
5-th percentile332275.32
Q1338160.35
median340495.13
Q3345638.99
95-th percentile352448.3
Maximum355272.75
Range23757.745
Interquartile range (IQR)7478.6377

Descriptive statistics

Standard deviation5670.5368
Coefficient of variation (CV)0.016593906
Kurtosis0.085024403
Mean341724.06
Median Absolute Deviation (MAD)4396.7
Skewness0.41756382
Sum14352410
Variance32154987
MonotonicityNot monotonic
2024-04-18T15:08:02.610894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
338762.324269 3
 
7.1%
343334.402239 1
 
2.4%
345467.890314 1
 
2.4%
338153.432139 1
 
2.4%
338792.883768 1
 
2.4%
337515.970954 1
 
2.4%
338154.18123 1
 
2.4%
338178.866316 1
 
2.4%
335948.076729 1
 
2.4%
337402.627119 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
331515.0 1
2.4%
332226.263646 1
2.4%
332237.177954 1
2.4%
333000.0 1
2.4%
335948.076729 1
2.4%
336207.40456 1
2.4%
337402.627119 1
2.4%
337437.580215 1
2.4%
337515.970954 1
2.4%
338153.432139 1
2.4%
ValueCountFrequency (%)
355272.745413 1
2.4%
354976.751149 1
2.4%
352709.176336 1
2.4%
347491.745351 1
2.4%
346855.112353 1
2.4%
346815.141618 1
2.4%
346722.247283 1
2.4%
346713.946404 1
2.4%
346040.391037 1
2.4%
345695.698997 1
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262014.18
Minimum244256
Maximum272641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:02.727736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244256
5-th percentile258060.23
Q1259465.33
median262169.07
Q3263954.03
95-th percentile272549.78
Maximum272641.87
Range28385.868
Interquartile range (IQR)4488.7022

Descriptive statistics

Standard deviation5662.1703
Coefficient of variation (CV)0.021610168
Kurtosis3.4478939
Mean262014.18
Median Absolute Deviation (MAD)2307.1863
Skewness-0.83010368
Sum11004596
Variance32060173
MonotonicityNot monotonic
2024-04-18T15:08:02.847657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
258633.277871 3
 
7.1%
264123.004425 1
 
2.4%
259538.630064 1
 
2.4%
262183.173318 1
 
2.4%
258620.662413 1
 
2.4%
258117.962895 1
 
2.4%
262154.97542 1
 
2.4%
258401.901563 1
 
2.4%
262555.564195 1
 
2.4%
258059.908198 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
244256.0 1
 
2.4%
244719.0 1
 
2.4%
258059.908198 1
 
2.4%
258066.420109 1
 
2.4%
258117.962895 1
 
2.4%
258401.901563 1
 
2.4%
258620.662413 1
 
2.4%
258633.277871 3
7.1%
259440.893694 1
 
2.4%
259538.630064 1
 
2.4%
ValueCountFrequency (%)
272641.867971 1
2.4%
272571.825203 1
2.4%
272557.056726 1
2.4%
272411.512877 1
2.4%
268051.856327 1
2.4%
267762.864409 1
2.4%
267580.220534 1
2.4%
264675.055839 1
2.4%
264649.473769 1
2.4%
264123.004425 1
2.4%

임산부정원수
Real number (ℝ)

Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.595238
Minimum9
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:02.960034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14.1
Q118.25
median22
Q326.75
95-th percentile30.95
Maximum41
Range32
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.5259689
Coefficient of variation (CV)0.28882054
Kurtosis1.6975843
Mean22.595238
Median Absolute Deviation (MAD)4
Skewness0.7624121
Sum949
Variance42.588269
MonotonicityNot monotonic
2024-04-18T15:08:03.071699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20 6
14.3%
22 5
11.9%
18 4
 
9.5%
28 4
 
9.5%
17 3
 
7.1%
21 2
 
4.8%
29 2
 
4.8%
25 2
 
4.8%
23 2
 
4.8%
41 2
 
4.8%
Other values (10) 10
23.8%
ValueCountFrequency (%)
9 1
 
2.4%
10 1
 
2.4%
14 1
 
2.4%
16 1
 
2.4%
17 3
7.1%
18 4
9.5%
19 1
 
2.4%
20 6
14.3%
21 2
 
4.8%
22 5
11.9%
ValueCountFrequency (%)
41 2
4.8%
31 1
 
2.4%
30 1
 
2.4%
29 2
4.8%
28 4
9.5%
27 1
 
2.4%
26 1
 
2.4%
25 2
4.8%
24 1
 
2.4%
23 2
4.8%

영유아정원수
Real number (ℝ)

Distinct22
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.547619
Minimum9
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:03.226442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14.05
Q118.25
median21
Q326.75
95-th percentile34.8
Maximum41
Range32
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.8474755
Coefficient of variation (CV)0.30368952
Kurtosis1.2019898
Mean22.547619
Median Absolute Deviation (MAD)4
Skewness0.75775963
Sum947
Variance46.887921
MonotonicityNot monotonic
2024-04-18T15:08:03.359135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20 7
16.7%
18 3
 
7.1%
22 3
 
7.1%
28 3
 
7.1%
21 3
 
7.1%
15 2
 
4.8%
24 2
 
4.8%
27 2
 
4.8%
25 2
 
4.8%
41 2
 
4.8%
Other values (12) 13
31.0%
ValueCountFrequency (%)
9 1
 
2.4%
10 1
 
2.4%
14 1
 
2.4%
15 2
 
4.8%
16 1
 
2.4%
17 2
 
4.8%
18 3
7.1%
19 1
 
2.4%
20 7
16.7%
21 3
7.1%
ValueCountFrequency (%)
41 2
4.8%
35 1
 
2.4%
31 1
 
2.4%
30 1
 
2.4%
29 1
 
2.4%
28 3
7.1%
27 2
4.8%
26 1
 
2.4%
25 2
4.8%
24 2
4.8%

임산부실면적
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416.45929
Minimum11.9
Maximum1052.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:03.488713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.9
5-th percentile126.13
Q1284.95
median372.43
Q3547.275
95-th percentile801.747
Maximum1052.4
Range1040.5
Interquartile range (IQR)262.325

Descriptive statistics

Standard deviation229.39342
Coefficient of variation (CV)0.55081836
Kurtosis0.67708867
Mean416.45929
Median Absolute Deviation (MAD)112.23
Skewness0.75633828
Sum17491.29
Variance52621.341
MonotonicityNot monotonic
2024-04-18T15:08:03.631144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
180.7 1
 
2.4%
611.06 1
 
2.4%
588.91 1
 
2.4%
284.6 1
 
2.4%
128.6 1
 
2.4%
286.0 1
 
2.4%
306.89 1
 
2.4%
473.16 1
 
2.4%
802.7 1
 
2.4%
388.42 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
11.9 1
2.4%
18.0 1
2.4%
126.0 1
2.4%
128.6 1
2.4%
170.94 1
2.4%
180.7 1
2.4%
195.5 1
2.4%
266.54 1
2.4%
268.0 1
2.4%
276.76 1
2.4%
ValueCountFrequency (%)
1052.4 1
2.4%
954.36 1
2.4%
802.7 1
2.4%
783.64 1
2.4%
696.92 1
2.4%
672.86 1
2.4%
666.65 1
2.4%
611.06 1
2.4%
588.91 1
2.4%
561.9 1
2.4%

영유아실면적
Real number (ℝ)

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.429048
Minimum16.14
Maximum98.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:03.767138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.14
5-th percentile25.5
Q135.4
median44.94
Q352.235
95-th percentile75.046
Maximum98.8
Range82.66
Interquartile range (IQR)16.835

Descriptive statistics

Standard deviation15.971922
Coefficient of variation (CV)0.3515795
Kurtosis2.1696785
Mean45.429048
Median Absolute Deviation (MAD)7.995
Skewness1.0859182
Sum1908.02
Variance255.10229
MonotonicityNot monotonic
2024-04-18T15:08:03.900730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37.1 2
 
4.8%
25.5 2
 
4.8%
23.5 1
 
2.4%
54.67 1
 
2.4%
16.14 1
 
2.4%
46.6 1
 
2.4%
29.91 1
 
2.4%
46.68 1
 
2.4%
70.6 1
 
2.4%
30.3 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
16.14 1
2.4%
23.5 1
2.4%
25.5 2
4.8%
25.52 1
2.4%
29.91 1
2.4%
30.3 1
2.4%
33.0 1
2.4%
34.11 1
2.4%
34.4 1
2.4%
35.0 1
2.4%
ValueCountFrequency (%)
98.8 1
2.4%
79.04 1
2.4%
75.28 1
2.4%
70.6 1
2.4%
62.3 1
2.4%
61.91 1
2.4%
60.74 1
2.4%
54.67 1
2.4%
53.03 1
2.4%
52.84 1
2.4%

모유수유실면적
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean18.585122
Minimum2
Maximum46.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:04.040794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q111.15
median16.74
Q322.41
95-th percentile34.99
Maximum46.5
Range44.5
Interquartile range (IQR)11.26

Descriptive statistics

Standard deviation9.8409931
Coefficient of variation (CV)0.5295092
Kurtosis0.97690074
Mean18.585122
Median Absolute Deviation (MAD)5.6
Skewness0.94473388
Sum761.99
Variance96.845146
MonotonicityNot monotonic
2024-04-18T15:08:04.201107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7.0 2
 
4.8%
8.26 1
 
2.4%
20.87 1
 
2.4%
29.2 1
 
2.4%
2.0 1
 
2.4%
13.3 1
 
2.4%
22.33 1
 
2.4%
11.15 1
 
2.4%
30.3 1
 
2.4%
14.25 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
2.0 1
2.4%
7.0 2
4.8%
7.75 1
2.4%
8.2 1
2.4%
8.26 1
2.4%
8.5 1
2.4%
8.67 1
2.4%
9.61 1
2.4%
11.14 1
2.4%
11.15 1
2.4%
ValueCountFrequency (%)
46.5 1
2.4%
44.04 1
2.4%
34.99 1
2.4%
30.3 1
2.4%
30.24 1
2.4%
29.2 1
2.4%
29.0 1
2.4%
28.26 1
2.4%
26.44 1
2.4%
23.59 1
2.4%

급식시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)96.9%
Missing10
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean59.048125
Minimum0
Maximum240.4
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:04.324532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1625
Q135.1
median57.13
Q377.7
95-th percentile90.1895
Maximum240.4
Range240.4
Interquartile range (IQR)42.6

Descriptive statistics

Standard deviation42.409592
Coefficient of variation (CV)0.71822081
Kurtosis10.313159
Mean59.048125
Median Absolute Deviation (MAD)21.51
Skewness2.3989027
Sum1889.54
Variance1798.5735
MonotonicityNot monotonic
2024-04-18T15:08:04.444794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 2
 
4.8%
62.0 1
 
2.4%
17.6 1
 
2.4%
70.45 1
 
2.4%
65.7 1
 
2.4%
49.34 1
 
2.4%
35.58 1
 
2.4%
53.86 1
 
2.4%
86.25 1
 
2.4%
71.47 1
 
2.4%
Other values (21) 21
50.0%
(Missing) 10
23.8%
ValueCountFrequency (%)
0.0 2
4.8%
5.75 1
2.4%
17.6 1
2.4%
21.0 1
2.4%
25.0 1
2.4%
31.58 1
2.4%
33.66 1
2.4%
35.58 1
2.4%
41.0 1
2.4%
44.0 1
2.4%
ValueCountFrequency (%)
240.4 1
2.4%
92.01 1
2.4%
88.7 1
2.4%
86.32 1
2.4%
86.25 1
2.4%
82.76 1
2.4%
80.0 1
2.4%
78.6 1
2.4%
77.4 1
2.4%
73.14 1
2.4%

세탁실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)93.8%
Missing10
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean14.810313
Minimum0
Maximum48.4
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:04.566339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.375
Q16.72
median10.76
Q317.325
95-th percentile45.585
Maximum48.4
Range48.4
Interquartile range (IQR)10.605

Descriptive statistics

Standard deviation13.072091
Coefficient of variation (CV)0.88263435
Kurtosis1.6960442
Mean14.810313
Median Absolute Deviation (MAD)5.535
Skewness1.5307906
Sum473.93
Variance170.87955
MonotonicityNot monotonic
2024-04-18T15:08:04.683059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 2
 
4.8%
14.4 2
 
4.8%
7.2 1
 
2.4%
9.05 1
 
2.4%
4.13 1
 
2.4%
5.94 1
 
2.4%
18.43 1
 
2.4%
6.8 1
 
2.4%
47.4 1
 
2.4%
6.01 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 10
23.8%
ValueCountFrequency (%)
0.0 2
4.8%
2.5 1
2.4%
3.73 1
2.4%
4.13 1
2.4%
5.94 1
2.4%
6.01 1
2.4%
6.48 1
2.4%
6.8 1
2.4%
6.9 1
2.4%
7.2 1
2.4%
ValueCountFrequency (%)
48.4 1
2.4%
47.4 1
2.4%
44.1 1
2.4%
40.05 1
2.4%
24.32 1
2.4%
21.16 1
2.4%
18.43 1
2.4%
18.0 1
2.4%
17.1 1
2.4%
17.0 1
2.4%

목욕실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)85.0%
Missing22
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean16.174
Minimum0
Maximum80
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:04.797548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.9
median7.285
Q318.365
95-th percentile80
Maximum80
Range80
Interquartile range (IQR)16.465

Descriptive statistics

Standard deviation24.10504
Coefficient of variation (CV)1.4903574
Kurtosis3.6990893
Mean16.174
Median Absolute Deviation (MAD)6.235
Skewness2.0858827
Sum323.48
Variance581.05297
MonotonicityNot monotonic
2024-04-18T15:08:04.910217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 3
 
7.1%
80.0 2
 
4.8%
4.4 1
 
2.4%
2.93 1
 
2.4%
1.6 1
 
2.4%
8.1 1
 
2.4%
23.3 1
 
2.4%
10.8 1
 
2.4%
8.64 1
 
2.4%
2.0 1
 
2.4%
Other values (7) 7
 
16.7%
(Missing) 22
52.4%
ValueCountFrequency (%)
0.0 3
7.1%
0.5 1
 
2.4%
1.6 1
 
2.4%
2.0 1
 
2.4%
2.93 1
 
2.4%
3.0 1
 
2.4%
4.4 1
 
2.4%
6.6 1
 
2.4%
7.97 1
 
2.4%
8.1 1
 
2.4%
ValueCountFrequency (%)
80.0 2
4.8%
34.61 1
2.4%
32.31 1
2.4%
23.3 1
2.4%
16.72 1
2.4%
10.8 1
2.4%
8.64 1
2.4%
8.1 1
2.4%
7.97 1
2.4%
6.6 1
2.4%

조리원화장실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)96.8%
Missing11
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean42.233871
Minimum0
Maximum200.78
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:05.035568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.86
Q19.07
median16.72
Q362.1
95-th percentile177.81
Maximum200.78
Range200.78
Interquartile range (IQR)53.03

Descriptive statistics

Standard deviation55.331291
Coefficient of variation (CV)1.3101165
Kurtosis2.6212767
Mean42.233871
Median Absolute Deviation (MAD)13.34
Skewness1.8312566
Sum1309.25
Variance3061.5518
MonotonicityNot monotonic
2024-04-18T15:08:05.165564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 2
 
4.8%
104.5 1
 
2.4%
8.9 1
 
2.4%
4.69 1
 
2.4%
1.72 1
 
2.4%
3.56 1
 
2.4%
169.92 1
 
2.4%
30.06 1
 
2.4%
2.9 1
 
2.4%
30.68 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 11
26.2%
ValueCountFrequency (%)
0.0 2
4.8%
1.72 1
2.4%
2.9 1
2.4%
3.56 1
2.4%
4.69 1
2.4%
5.12 1
2.4%
8.9 1
2.4%
9.24 1
2.4%
10.0 1
2.4%
10.2 1
2.4%
ValueCountFrequency (%)
200.78 1
2.4%
185.7 1
2.4%
169.92 1
2.4%
104.5 1
2.4%
83.8 1
2.4%
79.3 1
2.4%
74.42 1
2.4%
62.4 1
2.4%
61.8 1
2.4%
37.9 1
2.4%

사무실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)92.9%
Missing14
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean15.839286
Minimum0
Maximum55.7
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:05.291005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.505
Q18.225
median12.8
Q317.4975
95-th percentile41.6775
Maximum55.7
Range55.7
Interquartile range (IQR)9.2725

Descriptive statistics

Standard deviation12.529563
Coefficient of variation (CV)0.79104341
Kurtosis3.3389397
Mean15.839286
Median Absolute Deviation (MAD)4.65
Skewness1.8027396
Sum443.5
Variance156.98994
MonotonicityNot monotonic
2024-04-18T15:08:05.412386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
13.4 2
 
4.8%
10.8 2
 
4.8%
36.9 1
 
2.4%
9.92 1
 
2.4%
4.4 1
 
2.4%
4.7 1
 
2.4%
14.2 1
 
2.4%
31.8 1
 
2.4%
7.0 1
 
2.4%
12.2 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 14
33.3%
ValueCountFrequency (%)
0.0 1
2.4%
4.4 1
2.4%
4.7 1
2.4%
5.4 1
2.4%
7.0 1
2.4%
7.3 1
2.4%
8.0 1
2.4%
8.3 1
2.4%
9.11 1
2.4%
9.92 1
2.4%
ValueCountFrequency (%)
55.7 1
2.4%
44.25 1
2.4%
36.9 1
2.4%
31.8 1
2.4%
21.45 1
2.4%
21.26 1
2.4%
19.77 1
2.4%
16.74 1
2.4%
16.0 1
2.4%
15.1 1
2.4%

간호사수
Real number (ℝ)

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:05.553152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35.75
95-th percentile9
Maximum13
Range11
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.5109516
Coefficient of variation (CV)0.55798925
Kurtosis2.6648536
Mean4.5
Median Absolute Deviation (MAD)1
Skewness1.582083
Sum189
Variance6.304878
MonotonicityNot monotonic
2024-04-18T15:08:05.678960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 13
31.0%
2 7
16.7%
4 6
14.3%
5 5
 
11.9%
6 4
 
9.5%
7 3
 
7.1%
9 2
 
4.8%
13 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
2 7
16.7%
3 13
31.0%
4 6
14.3%
5 5
 
11.9%
6 4
 
9.5%
7 3
 
7.1%
9 2
 
4.8%
11 1
 
2.4%
13 1
 
2.4%
ValueCountFrequency (%)
13 1
 
2.4%
11 1
 
2.4%
9 2
 
4.8%
7 3
 
7.1%
6 4
 
9.5%
5 5
 
11.9%
4 6
14.3%
3 13
31.0%
2 7
16.7%

간호조무사수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0238095
Minimum0
Maximum12
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:05.787651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q37
95-th percentile9.95
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4443873
Coefficient of variation (CV)0.40578761
Kurtosis0.93702498
Mean6.0238095
Median Absolute Deviation (MAD)1
Skewness0.22356791
Sum253
Variance5.975029
MonotonicityNot monotonic
2024-04-18T15:08:05.888792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 9
21.4%
7 7
16.7%
6 6
14.3%
4 6
14.3%
8 5
11.9%
12 2
 
4.8%
9 2
 
4.8%
3 2
 
4.8%
1 1
 
2.4%
0 1
 
2.4%
ValueCountFrequency (%)
0 1
 
2.4%
1 1
 
2.4%
3 2
 
4.8%
4 6
14.3%
5 9
21.4%
6 6
14.3%
7 7
16.7%
8 5
11.9%
9 2
 
4.8%
10 1
 
2.4%
ValueCountFrequency (%)
12 2
 
4.8%
10 1
 
2.4%
9 2
 
4.8%
8 5
11.9%
7 7
16.7%
6 6
14.3%
5 9
21.4%
4 6
14.3%
3 2
 
4.8%
1 1
 
2.4%

영양사수
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
27 
0
11 
1
4 

Length

Max length4
Median length4
Mean length2.9285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
64.3%
0 11
26.2%
1 4
 
9.5%

Length

2024-04-18T15:08:06.008596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:08:06.118781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
64.3%
0 11
26.2%
1 4
 
9.5%

취사부수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)20.0%
Missing12
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum0
Maximum5
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:06.209213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1861267
Coefficient of variation (CV)0.65895928
Kurtosis0.81033394
Mean1.8
Median Absolute Deviation (MAD)1
Skewness0.81297024
Sum54
Variance1.4068966
MonotonicityNot monotonic
2024-04-18T15:08:06.353097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 11
26.2%
1 10
23.8%
0 3
 
7.1%
3 3
 
7.1%
4 2
 
4.8%
5 1
 
2.4%
(Missing) 12
28.6%
ValueCountFrequency (%)
0 3
 
7.1%
1 10
23.8%
2 11
26.2%
3 3
 
7.1%
4 2
 
4.8%
5 1
 
2.4%
ValueCountFrequency (%)
5 1
 
2.4%
4 2
 
4.8%
3 3
 
7.1%
2 11
26.2%
1 10
23.8%
0 3
 
7.1%

미화원수
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
18 
1
16 
3
4 
0
2 
2
2 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
42.9%
1 16
38.1%
3 4
 
9.5%
0 2
 
4.8%
2 2
 
4.8%

Length

2024-04-18T15:08:06.467965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:08:06.573542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
42.9%
1 16
38.1%
3 4
 
9.5%
0 2
 
4.8%
2 2
 
4.8%

기타인원수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
21 
1
16 
2
3 
0
 
2

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row2
5th row1

Common Values

ValueCountFrequency (%)
<NA> 21
50.0%
1 16
38.1%
2 3
 
7.1%
0 2
 
4.8%

Length

2024-04-18T15:08:06.687203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:08:06.793453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
50.0%
1 16
38.1%
2 3
 
7.1%
0 2
 
4.8%

건물층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)37.8%
Missing5
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean5.2432432
Minimum0
Maximum23
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:06.888897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37
95-th percentile12.6
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8097436
Coefficient of variation (CV)0.91732224
Kurtosis4.0040676
Mean5.2432432
Median Absolute Deviation (MAD)3
Skewness1.5472699
Sum194
Variance23.133634
MonotonicityNot monotonic
2024-04-18T15:08:06.991755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7
16.7%
6 5
11.9%
7 4
9.5%
2 4
9.5%
8 4
9.5%
3 2
 
4.8%
1 2
 
4.8%
5 2
 
4.8%
4 2
 
4.8%
23 1
 
2.4%
Other values (4) 4
9.5%
(Missing) 5
11.9%
ValueCountFrequency (%)
0 7
16.7%
1 2
 
4.8%
2 4
9.5%
3 2
 
4.8%
4 2
 
4.8%
5 2
 
4.8%
6 5
11.9%
7 4
9.5%
8 4
9.5%
9 1
 
2.4%
ValueCountFrequency (%)
23 1
 
2.4%
15 1
 
2.4%
12 1
 
2.4%
11 1
 
2.4%
9 1
 
2.4%
8 4
9.5%
7 4
9.5%
6 5
11.9%
5 2
 
4.8%
4 2
 
4.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)45.2%
Missing11
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean50.451613
Minimum0
Maximum910
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-18T15:08:07.089696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q37
95-th percentile256
Maximum910
Range910
Interquartile range (IQR)4

Descriptive statistics

Standard deviation179.02753
Coefficient of variation (CV)3.5484996
Kurtosis19.391097
Mean50.451613
Median Absolute Deviation (MAD)2
Skewness4.341143
Sum1564
Variance32050.856
MonotonicityNot monotonic
2024-04-18T15:08:07.199906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 5
11.9%
2 4
 
9.5%
4 4
 
9.5%
7 4
 
9.5%
6 3
 
7.1%
5 2
 
4.8%
1 2
 
4.8%
0 1
 
2.4%
456 1
 
2.4%
56 1
 
2.4%
Other values (4) 4
 
9.5%
(Missing) 11
26.2%
ValueCountFrequency (%)
0 1
 
2.4%
1 2
 
4.8%
2 4
9.5%
3 5
11.9%
4 4
9.5%
5 2
 
4.8%
6 3
7.1%
7 4
9.5%
9 1
 
2.4%
13 1
 
2.4%
ValueCountFrequency (%)
910 1
 
2.4%
456 1
 
2.4%
56 1
 
2.4%
23 1
 
2.4%
13 1
 
2.4%
9 1
 
2.4%
7 4
9.5%
6 3
7.1%
5 2
4.8%
4 4
9.5%

지하층수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
26 
1
7 
0
6 
2
3 

Length

Max length4
Median length4
Mean length2.8571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
61.9%
1 7
 
16.7%
0 6
 
14.3%
2 3
 
7.1%

Length

2024-04-18T15:08:07.321902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:08:07.430978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
61.9%
1 7
 
16.7%
0 6
 
14.3%
2 3
 
7.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)임산부정원수영유아정원수임산부실면적영유아실면적모유수유실면적급식시설면적세탁실면적목욕실면적조리원화장실면적사무실면적간호사수간호조무사수영양사수취사부수미화원수기타인원수건물층수지상층수지하층수
01산후조리업01_01_04_P3410000PHMB12006341002304210000120061207<NA>3폐업3폐업201806302018030620190305<NA>0532551020<NA>700082대구광역시 중구 계산동2가 80번지 1호대구광역시 중구 달구벌대로 2047 (계산동2가)<NA>미즈산후조리원20180726181216I2018-08-31 23:59:59.0<NA>343334.402239264123.0044251010180.723.58.525.08.02.010.010.83111<NA><NA>76<NA>
12산후조리업01_01_04_P3420000PHMB12011342002304210000120110930<NA>1영업/정상13영업중<NA><NA><NA><NA>963-6663<NA>701847대구광역시 동구 율하동 1113번지 2,3층대구광역시 동구 안심로 54, 2,3층 (율하동)41151아델리아 산후조리원20111123140924I2018-08-31 23:59:59.0<NA>352709.176336264675.0558392320954.3645.019.062.017.016.7216.7216.038<NA>111651
23산후조리업01_01_04_P3430000PHMB12015343001904210000120150702<NA>1영업/정상13영업중<NA><NA><NA><NA>053-562-0100<NA>703803대구광역시 서구 내당동 245번지 7호대구광역시 서구 서대구로 49, 3~5층 (내당동)41851닥터안산후조리원20150707175300I2018-08-31 23:59:59.0<NA>340462.733748263584.5790952020384.0945.1923.5968.6316.2980.015.4421.2635<NA>1<NA><NA>33<NA>
34산후조리업01_01_04_P3440000PHMB12006344002404210000120061206<NA>3폐업3폐업20090320<NA><NA><NA><NA><NA>705829대구광역시 남구 봉덕3동 983번지 16호대구광역시 남구 봉덕로 16 (봉덕동)<NA>엄마손 산후조리원20090320184050I2018-08-31 23:59:59.0<NA>343768.954118261708.109894181818.033.0<NA><NA><NA><NA><NA><NA>360<NA><NA>2<NA><NA><NA>
45산후조리업01_01_04_P3450000PHMB12012345002204210000120121221<NA>3폐업3폐업20180504<NA><NA><NA>951-7773<NA>702012대구광역시 북구 산격2동 505번지 7호대구광역시 북구 동북로 117 (산격동)41519신세계산후조리원20180612114117I2018-08-31 23:59:59.0<NA>345000.804589268051.8563272020316.245.221.460.46.980.010.236.945<NA>21122<NA>
56산후조리업01_01_04_P3450000PHMB12013345002204210000120130312<NA>3폐업3폐업20210825<NA><NA><NA>053-958-1500<NA>702841대구광역시 북구 산격3동 1238번지 1호 9-10층대구광역시 북구 동북로 156 (산격동,9-10층)<NA>맘앤휴산후조리원20210825165650U2021-08-27 02:40:00.0<NA>345268.158245267762.8644092424379.044.026.4448.02.50.010.49.92240211000
67산후조리업01_01_04_P3450000PHMB12006345002204210000220061204<NA>3폐업3폐업20161124<NA><NA><NA>325-2900<NA>702250대구광역시 북구 동천동 951번지 2호대구광역시 북구 팔거천동로 223 (동천동)41422류정선산후조리원20161206090603I2018-08-31 23:59:59.0<NA>340500.691418272641.8679712020266.5425.529.6131.586.48<NA>9.24<NA>27<NA><NA><NA>211<NA>
78산후조리업01_01_04_P3450000PHMB12006345002204210000120061204<NA>1영업/정상13영업중<NA><NA><NA><NA>053-954-7771<NA>702013대구광역시 북구 산격3동 1287번지 4호대구광역시 북구 동북로 196 (산격동)41535신세계병원산후조리원20220103165937U2022-01-05 02:40:00.0<NA>345615.223576267580.2205342020268.042.517.7240.416.33.079.38.0900000541
89산후조리업01_01_04_P3450000PHMB12007345002204210000120070330<NA>1영업/정상13영업중<NA>2021030120210430<NA>053-210-7737<NA>702250대구광역시 북구 동천동 952번지 2호대구광역시 북구 팔거천동로 215 (동천동)41422로즈마리산후조리원20210510140750U2021-05-12 02:40:00.0<NA>340489.571647272557.0567262222498.541.717.044.014.4<NA>61.810.837<NA><NA><NA>122<NA>
910산후조리업01_01_04_P3450000PHMB12014345002204210000120140429<NA>1영업/정상13영업중<NA><NA><NA><NA>053-314-0113<NA>702885대구광역시 북구 동천동 893번지대구광역시 북구 팔거천동로 218, 4~7층 (동천동)41423설렘산후조리원20200629163857U2020-07-01 02:40:00.0<NA>340562.748461272571.8252032828666.6561.9134.9977.424.32<NA><NA>21.4546<NA>11<NA>44<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)임산부정원수영유아정원수임산부실면적영유아실면적모유수유실면적급식시설면적세탁실면적목욕실면적조리원화장실면적사무실면적간호사수간호조무사수영양사수취사부수미화원수기타인원수건물층수지상층수지하층수
3233산후조리업01_01_04_P3470000PHMB12017347002204210000120170616<NA>1영업/정상13영업중<NA><NA><NA><NA>053-636-2221<NA><NA>대구광역시 달서구 진천동 635번지 1호대구광역시 달서구 월배로 58 (진천동)42771리엘산후조리원20220110112648U2022-01-12 02:40:00.0<NA>337402.627119258059.9081982525611.0654.6719.60.047.48.640.00.05100431220
3334산후조리업01_01_04_P3470000PHMB12012347002204210000220120418<NA>1영업/정상13영업중<NA><NA><NA><NA>608-7200<NA>704932대구광역시 달서구 죽전동 274번지 7호대구광역시 달서구 와룡로 203 (죽전동)42633미래산후조리원(신미래->미래)20181211091548U2018-12-13 02:40:00.0<NA>338761.152336262278.9042972626518.146.529.086.256.810.82.912.278<NA>23<NA>0<NA><NA>
3435산후조리업01_01_04_P3470000PHMB12008347002204210000220080509<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-8575<NA><NA>대구광역시 달서구 성당동 825번지 19호대구광역시 달서구 구마로 201, 2,3,4층 (성당동)42681(주)김혜정20181031160530U2018-11-02 02:35:42.0<NA>339957.40013260818.8823092324341.5744.8816.1453.8618.43<NA><NA><NA>512<NA>111330
3536산후조리업01_01_04_P3470000PHMB12006347002204210000420061215<NA>3폐업3폐업201404092013090520131031<NA>053-588-8703<NA>704140대구광역시 달서구 이곡동 1244번지 4호대구광역시 달서구 이곡공원로 12 (이곡동)<NA>사임당20140409164211I2018-08-31 23:59:59.0<NA>336207.40456262683.6705312020170.9441.87.035.5814.423.330.067.027<NA>11<NA>651
3637산후조리업01_01_04_P3470000PHMB12006347002204210000320061212<NA>3폐업3폐업20180731<NA><NA><NA>053-608-7000<NA>704932대구광역시 달서구 죽전동 274번지 1호대구광역시 달서구 와룡로41길 11 (죽전동)<NA>미래20180809143020I2018-08-31 23:59:59.0<NA>338723.646331262310.1143252931557.045.2214.8549.345.948.1<NA><NA>59121<NA><NA><NA><NA>
3738산후조리업01_01_04_P3470000PHMB12006347002204210000120061208<NA>1영업/정상13영업중<NA><NA><NA><NA>053-609-5071<NA>704837대구광역시 달서구 진천동 635번지 3호대구광역시 달서구 월배로 62 (진천동)<NA>달서미즈맘산후조리원20170214100841I2018-08-31 23:59:59.0<NA>337437.580215258066.4201093030276.7652.628.2665.7<NA>1.6169.9231.8115<NA><NA><NA>1871
3839산후조리업01_01_04_P3480000PHMB12014348001204210000120140630<NA>1영업/정상13영업중<NA><NA><NA><NA>053-592-3575<NA>711815대구광역시 달성군 다사읍 죽곡리 807번지 3호대구광역시 달성군 다사읍 달구벌대로 87442918로즈맘산후조리원20140702114159I2018-08-31 23:59:59.0<NA>332226.263646262968.3826531919296.3934.118.67<NA><NA><NA>3.5614.238000<NA>871
3940산후조리업01_01_04_P3480000PHMB12017348001204210000120170413<NA>3폐업3폐업20190828<NA><NA><NA>285-7000<NA><NA>대구광역시 달성군 현풍읍 중리 505번지대구광역시 달성군 현풍읍 테크노대로 6143017현풍미즈맘산후조리원20190828113654U2019-08-30 02:40:00.0<NA>331515.0244256.02222414.5341.312.09<NA>4.132.931.724.745<NA><NA><NA>166<NA>
4041산후조리업01_01_04_P3480000PHMB12017348001204210000220170911<NA>1영업/정상13영업중<NA><NA><NA><NA>053-627-5555<NA><NA><NA>대구광역시 달성군 유가읍 테크노순환로12길 4, 프로마드레 산후조리원 6,7층 608,609,610,611,701호42994프로마드레 산후조리원20190725170334U2019-07-27 02:40:00.0<NA>333000.0244719.02828783.6460.7421.6870.459.05<NA>4.6913.425<NA>1110<NA><NA>
4142산후조리업01_01_04_P3480000PHMB12008348001204210000120081018<NA>3폐업3폐업20131231<NA><NA><NA><NA><NA>711812대구광역시 달성군 다사읍 매곡리 1546번지 8호 5층대구광역시 달성군 다사읍 달구벌대로 863 (5층)<NA>로즈맘산후조리원20140103110406I2018-08-31 23:59:59.0<NA>332237.177954263095.169477212111.936.68.217.67.2<NA>8.94.436<NA>21<NA>1192