Overview

Dataset statistics

Number of variables47
Number of observations42
Missing cells385
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory409.1 B

Variable types

Numeric20
Categorical11
Text6
DateTime6
Unsupported4

Dataset

Description23년09월_6270000_대구광역시_01_01_04_P_산후조리업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100893&dataSetDetailId=DDI_0000100905&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 22 (52.4%) missing valuesMissing
휴업시작일자 has 37 (88.1%) missing valuesMissing
휴업종료일자 has 37 (88.1%) 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 9 (21.4%) missing valuesMissing
목욕실면적 has 20 (47.6%) missing valuesMissing
조리원화장실면적 has 9 (21.4%) missing valuesMissing
사무실면적 has 13 (31.0%) missing valuesMissing
취사부수 has 11 (26.2%) 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 3 (7.1%) zerosZeros
목욕실면적 has 5 (11.9%) zerosZeros
조리원화장실면적 has 4 (9.5%) zerosZeros
사무실면적 has 2 (4.8%) zerosZeros
간호조무사수 has 1 (2.4%) zerosZeros
취사부수 has 4 (9.5%) zerosZeros
건물층수 has 7 (16.7%) zerosZeros
지상층수 has 1 (2.4%) zerosZeros

Reproduction

Analysis started2023-10-21 06:00:53.281467
Analysis finished2023-10-21 06:00:56.562529
Duration3.28 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
2023-10-21T06:00:57.103284image/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
2023-10-21T06:00:58.200709image/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

2023-10-21T06:00:58.959924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:59.366382image/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

2023-10-21T06:00:59.895509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:00.591029image/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
2023-10-21T06:01:01.176370image/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
2023-10-21T06:01:02.020511image/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
2023-10-21T06:01:02.909210image/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 rowPHMB120063450022042100002
ValueCountFrequency (%)
phmb120063410023042100001 1
 
2.4%
phmb120063470022042100003 1
 
2.4%
phmb120143480012042100001 1
 
2.4%
phmb120063470022042100005 1
 
2.4%
phmb120083470022042100001 1
 
2.4%
phmb120123470022042100001 1
 
2.4%
phmb120123470022042100003 1
 
2.4%
phmb120143470022042100002 1
 
2.4%
phmb120063470022042100001 1
 
2.4%
phmb120063470022042100002 1
 
2.4%
Other values (32) 32
76.2%
2023-10-21T06:01:04.525316image/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
Date

Distinct38
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2006-12-04 00:00:00
Maximum2020-05-18 00:00:00
2023-10-21T06:01:05.132101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:05.863413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

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
3
21 
1
21 

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 (%)
3 21
50.0%
1 21
50.0%

Length

2023-10-21T06:01:06.557322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:06.963008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
50.0%
1 21
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
21 
영업/정상
21 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
50.0%
영업/정상 21
50.0%

Length

2023-10-21T06:01:07.571918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:08.044302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
50.0%
영업/정상 21
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
21 
13
21 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
50.0%
13 21
50.0%

Length

2023-10-21T06:01:08.735348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:09.253279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
50.0%
13 21
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
21 
영업중
21 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
50.0%
영업중 21
50.0%

Length

2023-10-21T06:01:09.890127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:10.381918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
50.0%
영업중 21
50.0%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing22
Missing (%)52.4%
Memory size468.0 B
Minimum2009-03-20 00:00:00
Maximum2023-06-30 00:00:00
2023-10-21T06:01:11.097025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:11.807674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing37
Missing (%)88.1%
Memory size468.0 B
Minimum2013-09-05 00:00:00
Maximum2023-07-20 00:00:00
2023-10-21T06:01:12.252356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:12.712225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing37
Missing (%)88.1%
Memory size468.0 B
Minimum2013-10-31 00:00:00
Maximum2023-07-22 00:00:00
2023-10-21T06:01:13.160076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:13.741605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

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
2023-10-21T06:01:14.451454image/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 row325-2900
5th row951-7773
ValueCountFrequency (%)
0532551020 1
 
2.6%
053-656-8575 1
 
2.6%
053-588-8703 1
 
2.6%
053-630-5200 1
 
2.6%
053-609-5171 1
 
2.6%
053)667-7575 1
 
2.6%
053-640-1081 1
 
2.6%
053-609-5071 1
 
2.6%
053-667-7537 1
 
2.6%
053-592-3575 1
 
2.6%
Other values (29) 29
74.4%
2023-10-21T06:01:16.126342image/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
Text

MISSING 

Distinct29
Distinct (%)87.9%
Missing9
Missing (%)21.4%
Memory size468.0 B
2023-10-21T06:01:17.364623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters231
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

Unique25 ?
Unique (%)75.8%

Sample

1st row700-082
2nd row701-847
3rd row703-803
4th row705-829
5th row702-250
ValueCountFrequency (%)
704-932 2
 
6.1%
704-370 2
 
6.1%
702-250 2
 
6.1%
706-011 2
 
6.1%
704-836 1
 
3.0%
700-082 1
 
3.0%
706-837 1
 
3.0%
711-812 1
 
3.0%
704-834 1
 
3.0%
704-142 1
 
3.0%
Other values (19) 19
57.6%
2023-10-21T06:01:19.436242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
22.9%
7 40
17.3%
- 33
14.3%
1 19
 
8.2%
4 17
 
7.4%
2 17
 
7.4%
3 15
 
6.5%
8 15
 
6.5%
6 10
 
4.3%
9 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
85.7%
Dash Punctuation 33
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
26.8%
7 40
20.2%
1 19
 
9.6%
4 17
 
8.6%
2 17
 
8.6%
3 15
 
7.6%
8 15
 
7.6%
6 10
 
5.1%
9 6
 
3.0%
5 6
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
22.9%
7 40
17.3%
- 33
14.3%
1 19
 
8.2%
4 17
 
7.4%
2 17
 
7.4%
3 15
 
6.5%
8 15
 
6.5%
6 10
 
4.3%
9 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
22.9%
7 40
17.3%
- 33
14.3%
1 19
 
8.2%
4 17
 
7.4%
2 17
 
7.4%
3 15
 
6.5%
8 15
 
6.5%
6 10
 
4.3%
9 6
 
2.6%

소재지전체주소
Text

MISSING 

Distinct36
Distinct (%)97.3%
Missing5
Missing (%)11.9%
Memory size468.0 B
2023-10-21T06:01:20.385922image/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 동천동 951번지 2호
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%
동천동 3
 
1.6%
달성군 3
 
1.6%
Other values (79) 96
50.3%
2023-10-21T06:01:22.303356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
18.1%
구 71
 
8.2%
동 38
 
4.4%
대 37
 
4.3%
광 37
 
4.3%
역 37
 
4.3%
시 37
 
4.3%
지 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%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Math Symbol 3
 
0.3%
Other Punctuation 3
 
0.3%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 71
13.8%
동 38
 
7.4%
대 37
 
7.2%
광 37
 
7.2%
역 37
 
7.2%
시 37
 
7.2%
지 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%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Dash 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%
대 37
 
7.2%
광 37
 
7.2%
역 37
 
7.2%
시 37
 
7.2%
지 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%
대 37
 
7.2%
광 37
 
7.2%
역 37
 
7.2%
시 37
 
7.2%
지 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
2023-10-21T06:01:23.168549image/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 팔거천동로 223 (동천동)
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%
상인동 4
 
1.8%
동천동 4
 
1.8%
진천동 4
 
1.8%
달성군 4
 
1.8%
Other values (103) 122
54.2%
2023-10-21T06:01:24.867777image/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%
광 42
 
3.8%
역 42
 
3.8%
시 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%
Close Punctuation 40
 
3.6%
Open 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%
광 42
 
6.6%
역 42
 
6.6%
시 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%
4 18
10.7%
6 18
10.7%
3 18
10.7%
0 15
8.9%
5 12
 
7.1%
7 10
 
5.9%
8 10
 
5.9%
9 8
 
4.7%
Space Separator
ValueCountFrequency (%)
184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open 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%
광 42
 
6.6%
역 42
 
6.6%
시 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%
4 18
 
3.8%
6 18
 
3.8%
3 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%
4 18
 
3.8%
6 18
 
3.8%
3 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%
광 42
 
6.6%
역 42
 
6.6%
시 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
2023-10-21T06:01:25.531155image/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
2023-10-21T06:01:26.194322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
42771 2
 
4.8%
41422 2
 
4.8%
41423 2
 
4.8%
42279 2
 
4.8%
42785 2
 
4.8%
42994 1
 
2.4%
42918 1
 
2.4%
43017 1
 
2.4%
42784 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
2023-10-21T06:01:26.786048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.4761905
Min length2

Characters and Unicode

Total characters356
Distinct characters80
Distinct categories8 ?
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 row류정선산후조리원
ValueCountFrequency (%)
산후조리원 10
 
18.9%
로즈맘산후조리원 2
 
3.8%
류정선산후조리원 2
 
3.8%
여성m파크 2
 
3.8%
성모산후조리원 2
 
3.8%
본느마망 2
 
3.8%
성모여성산후조리원 1
 
1.9%
미즈산후조리원 1
 
1.9%
미래 1
 
1.9%
성모 1
 
1.9%
Other values (29) 29
54.7%
2023-10-21T06:01:28.007873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 42
 
11.8%
후 38
 
10.7%
원 38
 
10.7%
산 37
 
10.4%
조 37
 
10.4%
11
 
3.1%
성 10
 
2.8%
미 8
 
2.2%
즈 7
 
2.0%
맘 6
 
1.7%
Other values (70) 122
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
93.0%
Space Separator 11
 
3.1%
Lowercase Letter 4
 
1.1%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%
Uppercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.5%
원 38
 
11.5%
산 37
 
11.2%
조 37
 
11.2%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (61) 102
30.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
w 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
93.0%
Common 19
 
5.3%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.5%
원 38
 
11.5%
산 37
 
11.2%
조 37
 
11.2%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (61) 102
30.8%
Common
ValueCountFrequency (%)
11
57.9%
) 3
 
15.8%
( 3
 
15.8%
- 1
 
5.3%
> 1
 
5.3%
Latin
ValueCountFrequency (%)
M 2
33.3%
l 2
33.3%
w 1
16.7%
e 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
93.0%
ASCII 25
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 42
12.7%
후 38
 
11.5%
원 38
 
11.5%
산 37
 
11.2%
조 37
 
11.2%
성 10
 
3.0%
미 8
 
2.4%
즈 7
 
2.1%
맘 6
 
1.8%
아 6
 
1.8%
Other values (61) 102
30.8%
ASCII
ValueCountFrequency (%)
11
44.0%
) 3
 
12.0%
( 3
 
12.0%
M 2
 
8.0%
l 2
 
8.0%
w 1
 
4.0%
- 1
 
4.0%
> 1
 
4.0%
e 1
 
4.0%

최종수정시점
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2008-11-18 18:06:25
Maximum2023-09-01 13:08:01
2023-10-21T06:01:28.686559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:29.273195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
U
23 
I
19 

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 (%)
U 23
54.8%
I 19
45.2%

Length

2023-10-21T06:01:29.765657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:30.406746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 23
54.8%
i 19
45.2%

데이터갱신일자
Date

Distinct22
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2023-09-03 02:40:00
2023-10-21T06:01:31.188515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:32.172140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341713.55
Minimum331379.26
Maximum355206.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:33.026556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331379.26
5-th percentile332269
Q1338160.35
median340495.13
Q3345638.99
95-th percentile352448.3
Maximum355206.9
Range23827.641
Interquartile range (IQR)7478.6377

Descriptive statistics

Standard deviation5679.549
Coefficient of variation (CV)0.01662079
Kurtosis0.075912605
Mean341713.55
Median Absolute Deviation (MAD)4396.7
Skewness0.40539319
Sum14351969
Variance32257277
MonotonicityNot monotonic
2023-10-21T06:01:33.918622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
338762.324268789 3
 
7.1%
337402.627118507 2
 
4.8%
343334.402238565 1
 
2.4%
352709.176335806 1
 
2.4%
345695.698997103 1
 
2.4%
338792.88376789 1
 
2.4%
338154.181229718 1
 
2.4%
337437.580215155 1
 
2.4%
338153.432139501 1
 
2.4%
338723.646330541 1
 
2.4%
Other values (29) 29
69.0%
ValueCountFrequency (%)
331379.261727026 1
2.4%
332226.263646327 1
2.4%
332237.177954415 1
2.4%
332873.58844066 1
2.4%
335948.076728948 1
2.4%
336207.404560204 1
2.4%
337402.627118507 2
4.8%
337437.580215155 1
2.4%
338153.432139501 1
2.4%
338154.181229718 1
2.4%
ValueCountFrequency (%)
355206.902793633 1
2.4%
354976.751149176 1
2.4%
352709.176335806 1
2.4%
347491.745351025 1
2.4%
346855.112353369 1
2.4%
346815.141617714 1
2.4%
346722.247283095 1
2.4%
346713.946404382 1
2.4%
346040.391036692 1
2.4%
345695.698997103 1
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262006.09
Minimum244266.49
Maximum272641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:34.553036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244266.49
5-th percentile258059.91
Q1259465.33
median262169.07
Q3263954.03
95-th percentile272549.78
Maximum272641.87
Range28375.379
Interquartile range (IQR)4488.7022

Descriptive statistics

Standard deviation5665.8114
Coefficient of variation (CV)0.021624731
Kurtosis3.4379569
Mean262006.09
Median Absolute Deviation (MAD)2307.1863
Skewness-0.82719794
Sum11004256
Variance32101419
MonotonicityNot monotonic
2023-10-21T06:01:35.260338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
258633.277871081 3
 
7.1%
258059.908198172 2
 
4.8%
264123.00442528 1
 
2.4%
264675.055839317 1
 
2.4%
261546.815152652 1
 
2.4%
258620.662412702 1
 
2.4%
262154.975419685 1
 
2.4%
258066.420109241 1
 
2.4%
262183.173317586 1
 
2.4%
262310.114325046 1
 
2.4%
Other values (29) 29
69.0%
ValueCountFrequency (%)
244266.488938767 1
 
2.4%
244686.529495474 1
 
2.4%
258059.908198172 2
4.8%
258066.420109241 1
 
2.4%
258401.901563391 1
 
2.4%
258620.662412702 1
 
2.4%
258633.277871081 3
7.1%
259440.893694068 1
 
2.4%
259538.630063747 1
 
2.4%
260035.101268054 1
 
2.4%
ValueCountFrequency (%)
272641.867971473 1
2.4%
272571.825203079 1
2.4%
272557.05672629 1
2.4%
272411.512876902 1
2.4%
268051.856327351 1
2.4%
267762.864409423 1
2.4%
267580.220533827 1
2.4%
264675.055839317 1
2.4%
264649.473769059 1
2.4%
264123.00442528 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
2023-10-21T06:01:35.866768image/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
2023-10-21T06:01:36.485011image/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%
23 2
 
4.8%
25 2
 
4.8%
29 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
2023-10-21T06:01:37.084266image/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
2023-10-21T06:01:37.664417image/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%
41 2
 
4.8%
24 2
 
4.8%
15 2
 
4.8%
27 2
 
4.8%
25 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
2023-10-21T06:01:38.129768image/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
2023-10-21T06:01:38.688837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
180.7 1
 
2.4%
341.57 1
 
2.4%
286.0 1
 
2.4%
306.89 1
 
2.4%
473.16 1
 
2.4%
284.6 1
 
2.4%
276.76 1
 
2.4%
588.91 1
 
2.4%
557.0 1
 
2.4%
170.94 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
2023-10-21T06:01:39.124417image/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
2023-10-21T06:01:39.647389image/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%
46.68 1
 
2.4%
35.0 1
 
2.4%
52.6 1
 
2.4%
79.04 1
 
2.4%
45.22 1
 
2.4%
41.8 1
 
2.4%
44.88 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
2023-10-21T06:01:40.567799image/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
2023-10-21T06:01:41.238618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7.0 2
 
4.8%
8.5 1
 
2.4%
13.3 1
 
2.4%
22.33 1
 
2.4%
11.15 1
 
2.4%
29.2 1
 
2.4%
28.26 1
 
2.4%
20.87 1
 
2.4%
14.85 1
 
2.4%
16.14 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
2023-10-21T06:01:42.103619image/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
2023-10-21T06:01:42.749029image/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%
70.45 1
 
2.4%
17.6 1
 
2.4%
78.6 1
 
2.4%
71.47 1
 
2.4%
86.25 1
 
2.4%
53.86 1
 
2.4%
35.58 1
 
2.4%
49.34 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 (%)90.9%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean14.361515
Minimum0
Maximum48.4
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:43.640037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.48
median10.46
Q317.1
95-th percentile45.42
Maximum48.4
Range48.4
Interquartile range (IQR)10.62

Descriptive statistics

Standard deviation13.121981
Coefficient of variation (CV)0.9136906
Kurtosis1.7368506
Mean14.361515
Median Absolute Deviation (MAD)5.84
Skewness1.5245868
Sum473.93
Variance172.18639
MonotonicityNot monotonic
2023-10-21T06:01:44.151016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 3
 
7.1%
14.4 2
 
4.8%
9.42 1
 
2.4%
9.05 1
 
2.4%
4.13 1
 
2.4%
7.2 1
 
2.4%
44.1 1
 
2.4%
47.4 1
 
2.4%
6.01 1
 
2.4%
6.8 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 9
21.4%
ValueCountFrequency (%)
0.0 3
7.1%
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 (%)77.3%
Missing20
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean14.703636
Minimum0
Maximum80
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:44.747899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.775
median5.5
Q315.24
95-th percentile77.7305
Maximum80
Range80
Interquartile range (IQR)14.465

Descriptive statistics

Standard deviation23.417169
Coefficient of variation (CV)1.5926107
Kurtosis4.3214656
Mean14.703636
Median Absolute Deviation (MAD)5.4
Skewness2.2108594
Sum323.48
Variance548.3638
MonotonicityNot monotonic
2023-10-21T06:01:45.445705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 5
 
11.9%
80.0 2
 
4.8%
4.4 1
 
2.4%
2.93 1
 
2.4%
8.64 1
 
2.4%
10.8 1
 
2.4%
23.3 1
 
2.4%
8.1 1
 
2.4%
1.6 1
 
2.4%
2.0 1
 
2.4%
Other values (7) 7
 
16.7%
(Missing) 20
47.6%
ValueCountFrequency (%)
0.0 5
11.9%
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 (%)90.9%
Missing9
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean39.674242
Minimum0
Maximum200.78
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:46.181026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.12
median16.28
Q361.8
95-th percentile176.232
Maximum200.78
Range200.78
Interquartile range (IQR)56.68

Descriptive statistics

Standard deviation54.542915
Coefficient of variation (CV)1.3747689
Kurtosis2.9435384
Mean39.674242
Median Absolute Deviation (MAD)13.78
Skewness1.9039631
Sum1309.25
Variance2974.9296
MonotonicityNot monotonic
2023-10-21T06:01:47.033402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 4
 
9.5%
74.42 1
 
2.4%
4.69 1
 
2.4%
3.56 1
 
2.4%
1.72 1
 
2.4%
8.9 1
 
2.4%
37.9 1
 
2.4%
185.7 1
 
2.4%
30.68 1
 
2.4%
2.9 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 9
21.4%
ValueCountFrequency (%)
0.0 4
9.5%
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 (%)89.7%
Missing13
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean15.293103
Minimum0
Maximum55.7
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:47.814020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.76
Q18
median12.2
Q316.74
95-th percentile41.31
Maximum55.7
Range55.7
Interquartile range (IQR)8.74

Descriptive statistics

Standard deviation12.650466
Coefficient of variation (CV)0.82720072
Kurtosis3.264069
Mean15.293103
Median Absolute Deviation (MAD)4.54
Skewness1.748435
Sum443.5
Variance160.03429
MonotonicityNot monotonic
2023-10-21T06:01:48.548571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 2
 
4.8%
13.4 2
 
4.8%
10.8 2
 
4.8%
9.92 1
 
2.4%
9.11 1
 
2.4%
14.2 1
 
2.4%
4.7 1
 
2.4%
4.4 1
 
2.4%
7.3 1
 
2.4%
55.7 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 13
31.0%
ValueCountFrequency (%)
0.0 2
4.8%
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
2023-10-21T06:01:49.093829image/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
2023-10-21T06:01:49.740323image/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
2023-10-21T06:01:50.686332image/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
2023-10-21T06:01:51.520962image/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%
3 2
 
4.8%
9 2
 
4.8%
12 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>
24 
0
14 
1
4 

Length

Max length4
Median length4
Mean length2.7142857
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> 24
57.1%
0 14
33.3%
1 4
 
9.5%

Length

2023-10-21T06:01:52.150899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:52.888008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
57.1%
0 14
33.3%
1 4
 
9.5%

취사부수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)19.4%
Missing11
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean1.7419355
Minimum0
Maximum5
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-10-21T06:01:53.540295image/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 deviation1.2101719
Coefficient of variation (CV)0.69472834
Kurtosis0.70187508
Mean1.7419355
Median Absolute Deviation (MAD)1
Skewness0.77498927
Sum54
Variance1.4645161
MonotonicityNot monotonic
2023-10-21T06:01:54.454418image/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 4
 
9.5%
3 3
 
7.1%
4 2
 
4.8%
5 1
 
2.4%
(Missing) 11
26.2%
ValueCountFrequency (%)
0 4
 
9.5%
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 4
 
9.5%

미화원수
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
17 
1
16 
3
4 
0
3 
2
2 

Length

Max length4
Median length1
Mean length2.2142857
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> 17
40.5%
1 16
38.1%
3 4
 
9.5%
0 3
 
7.1%
2 2
 
4.8%

Length

2023-10-21T06:01:55.238678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:55.828364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
40.5%
1 16
38.1%
3 4
 
9.5%
0 3
 
7.1%
2 2
 
4.8%

기타인원수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
19 
1
16 
0
4 
2
3 

Length

Max length4
Median length1
Mean length2.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
45.2%
1 16
38.1%
0 4
 
9.5%
2 3
 
7.1%

Length

2023-10-21T06:01:56.731836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:57.267676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
45.2%
1 16
38.1%
0 4
 
9.5%
2 3
 
7.1%

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
2023-10-21T06:01:58.084448image/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
2023-10-21T06:01:59.033839image/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%
12 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
2023-10-21T06:01:59.903520image/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
2023-10-21T06:02:00.538502image/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%
910 1
 
2.4%
23 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>
24 
0
8 
1
7 
2
3 

Length

Max length4
Median length4
Mean length2.7142857
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> 24
57.1%
0 8
 
19.0%
1 7
 
16.7%
2 3
 
7.1%

Length

2023-10-21T06:02:01.451910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:02:02.211560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
57.1%
0 8
 
19.0%
1 7
 
16.7%
2 3
 
7.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)임산부정원수영유아정원수임산부실면적영유아실면적모유수유실면적급식시설면적세탁실면적목욕실면적조리원화장실면적사무실면적간호사수간호조무사수영양사수취사부수미화원수기타인원수건물층수지상층수지하층수
01산후조리업01_01_04_P3410000PHMB1200634100230421000012006-12-07<NA>3폐업3폐업2018-06-302018-03-062019-03-05<NA>0532551020<NA>700-082대구광역시 중구 계산동2가 80번지 1호대구광역시 중구 달구벌대로 2047 (계산동2가)<NA>미즈산후조리원2018-07-26 18:12:16I2018-08-31 23:59:59<NA>343334.402239264123.0044251010180.723.58.525.08.02.010.010.83111<NA><NA>76<NA>
12산후조리업01_01_04_P3420000PHMB1201134200230421000012011-09-30<NA>1영업/정상13영업중<NA><NA><NA><NA>963-6663<NA>701-847대구광역시 동구 율하동 1113번지 2,3층대구광역시 동구 안심로 54, 2,3층 (율하동)41151아델리아 산후조리원2011-11-23 14:09:24I2018-08-31 23:59:59<NA>352709.176336264675.0558392320954.3645.019.062.017.016.7216.7216.038<NA>111651
23산후조리업01_01_04_P3430000PHMB1201534300190421000012015-07-02<NA>1영업/정상13영업중<NA><NA><NA><NA>053-562-0100<NA>703-803대구광역시 서구 내당동 245번지 7호대구광역시 서구 서대구로 49, 3~5층 (내당동)41851닥터안산후조리원2015-07-07 17:53:00I2018-08-31 23:59:59<NA>340462.733748263584.5790952020384.0945.1923.5968.6316.2980.015.4421.2635<NA>1<NA><NA>33<NA>
34산후조리업01_01_04_P3440000PHMB1200634400240421000012006-12-06<NA>3폐업3폐업2009-03-20<NA><NA><NA><NA><NA>705-829대구광역시 남구 봉덕3동 983번지 16호대구광역시 남구 봉덕로 16 (봉덕동)<NA>엄마손 산후조리원2009-03-20 18:40:50I2018-08-31 23:59:59<NA>343768.954119261708.109894181818.033.0<NA><NA><NA><NA><NA><NA>360<NA><NA>2<NA><NA><NA>
45산후조리업01_01_04_P3450000PHMB1200634500220421000022006-12-04<NA>3폐업3폐업2016-11-24<NA><NA><NA>325-2900<NA>702-250대구광역시 북구 동천동 951번지 2호대구광역시 북구 팔거천동로 223 (동천동)41422류정선산후조리원2016-12-06 09:06:03I2018-08-31 23:59:59<NA>340500.691418272641.8679712020266.5425.529.6131.586.48<NA>9.24<NA>27<NA><NA><NA>211<NA>
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