Overview

Dataset statistics

Number of variables44
Number of observations29
Missing cells395
Missing cells (%)31.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory387.6 B

Variable types

Categorical9
Text5
DateTime5
Unsupported4
Numeric21

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),임산부정원수,영유아정원수,임산부실면적,영유아실면적,모유수유실면적,급식시설면적,세탁실면적,목욕실면적,조리원화장실면적,사무실면적,간호사수,간호조무사수,영양사수,취사부수,미화원수,기타인원수,건물층수,지상층수,지하층수
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16284/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 17 (58.6%) missing valuesMissing
휴업시작일자 has 21 (72.4%) missing valuesMissing
휴업종료일자 has 21 (72.4%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
전화번호 has 5 (17.2%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 21 (72.4%) missing valuesMissing
지번주소 has 4 (13.8%) missing valuesMissing
도로명우편번호 has 5 (17.2%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.9%) missing valuesMissing
좌표정보(Y) has 2 (6.9%) missing valuesMissing
임산부정원수 has 8 (27.6%) missing valuesMissing
영유아정원수 has 8 (27.6%) missing valuesMissing
임산부실면적 has 8 (27.6%) missing valuesMissing
영유아실면적 has 9 (31.0%) missing valuesMissing
모유수유실면적 has 15 (51.7%) missing valuesMissing
급식시설면적 has 12 (41.4%) missing valuesMissing
세탁실면적 has 12 (41.4%) missing valuesMissing
목욕실면적 has 16 (55.2%) missing valuesMissing
조리원화장실면적 has 12 (41.4%) missing valuesMissing
사무실면적 has 15 (51.7%) missing valuesMissing
간호사수 has 8 (27.6%) missing valuesMissing
간호조무사수 has 8 (27.6%) missing valuesMissing
취사부수 has 10 (34.5%) missing valuesMissing
기타인원수 has 18 (62.1%) missing valuesMissing
건물층수 has 9 (31.0%) missing valuesMissing
지상층수 has 13 (44.8%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
모유수유실면적 has 3 (10.3%) zerosZeros
급식시설면적 has 2 (6.9%) zerosZeros
세탁실면적 has 3 (10.3%) zerosZeros
목욕실면적 has 2 (6.9%) zerosZeros
간호조무사수 has 3 (10.3%) zerosZeros
취사부수 has 1 (3.4%) zerosZeros
기타인원수 has 1 (3.4%) zerosZeros
건물층수 has 3 (10.3%) zerosZeros

Reproduction

Analysis started2024-04-29 18:56:33.533766
Analysis finished2024-04-29 18:56:34.307143
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3220000
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 29
100.0%

Length

2024-04-30T03:56:34.368191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:34.444710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 29
100.0%

관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-30T03:56:34.585644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters725
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowPHMB120053220033042100001
2nd rowPHMB120063220033042100001
3rd rowPHMB120063220033042100002
4th rowPHMB120063220033042100003
5th rowPHMB120073220033042100001
ValueCountFrequency (%)
phmb120053220033042100001 1
 
3.4%
phmb120123220033042100004 1
 
3.4%
phmb120183220033042100002 1
 
3.4%
phmb120183220033042100001 1
 
3.4%
phmb120163220033042100004 1
 
3.4%
phmb120163220033042100003 1
 
3.4%
phmb120163220033042100002 1
 
3.4%
phmb120163220033042100001 1
 
3.4%
phmb120143220033042100004 1
 
3.4%
phmb120143220033042100003 1
 
3.4%
Other values (19) 19
65.5%
2024-04-30T03:56:34.882667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 243
33.5%
2 130
17.9%
3 94
 
13.0%
1 87
 
12.0%
4 37
 
5.1%
P 29
 
4.0%
H 29
 
4.0%
M 29
 
4.0%
B 29
 
4.0%
6 7
 
1.0%
Other values (4) 11
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
84.0%
Uppercase Letter 116
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 243
39.9%
2 130
21.3%
3 94
 
15.4%
1 87
 
14.3%
4 37
 
6.1%
6 7
 
1.1%
8 5
 
0.8%
7 3
 
0.5%
5 2
 
0.3%
9 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 29
25.0%
H 29
25.0%
M 29
25.0%
B 29
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
84.0%
Latin 116
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 243
39.9%
2 130
21.3%
3 94
 
15.4%
1 87
 
14.3%
4 37
 
6.1%
6 7
 
1.1%
8 5
 
0.8%
7 3
 
0.5%
5 2
 
0.3%
9 1
 
0.2%
Latin
ValueCountFrequency (%)
P 29
25.0%
H 29
25.0%
M 29
25.0%
B 29
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 243
33.5%
2 130
17.9%
3 94
 
13.0%
1 87
 
12.0%
4 37
 
5.1%
P 29
 
4.0%
H 29
 
4.0%
M 29
 
4.0%
B 29
 
4.0%
6 7
 
1.0%
Other values (4) 11
 
1.5%

인허가일자
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2005-09-29 00:00:00
Maximum2023-10-26 00:00:00
2024-04-30T03:56:34.999311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:35.095144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
15 
3
12 
2
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
51.7%
3 12
41.4%
2 2
 
6.9%

Length

2024-04-30T03:56:35.201823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:35.293495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
51.7%
3 12
41.4%
2 2
 
6.9%

영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업/정상
15 
폐업
12 
휴업
2 

Length

Max length5
Median length5
Mean length3.5517241
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
51.7%
폐업 12
41.4%
휴업 2
 
6.9%

Length

2024-04-30T03:56:35.387935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:35.480090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
51.7%
폐업 12
41.4%
휴업 2
 
6.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
13
15 
3
12 
2
2 

Length

Max length2
Median length2
Mean length1.5172414
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 15
51.7%
3 12
41.4%
2 2
 
6.9%

Length

2024-04-30T03:56:35.573879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:35.662036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
51.7%
3 12
41.4%
2 2
 
6.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업중
15 
폐업
12 
휴업
2 

Length

Max length3
Median length3
Mean length2.5172414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 15
51.7%
폐업 12
41.4%
휴업 2
 
6.9%

Length

2024-04-30T03:56:35.746766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:35.833225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 15
51.7%
폐업 12
41.4%
휴업 2
 
6.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing17
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean20161393
Minimum20110715
Maximum20210518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:35.911610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110715
5-th percentile20121724
Q120138012
median20160820
Q320182698
95-th percentile20210470
Maximum20210518
Range99803
Interquartile range (IQR)44687

Descriptive statistics

Standard deviation32170.759
Coefficient of variation (CV)0.0015956615
Kurtosis-0.92555317
Mean20161393
Median Absolute Deviation (MAD)24902
Skewness0.20434834
Sum2.4193672 × 108
Variance1.0349577 × 109
MonotonicityNot monotonic
2024-04-30T03:56:36.012181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20161031 1
 
3.4%
20210518 1
 
3.4%
20140306 1
 
3.4%
20131128 1
 
3.4%
20130731 1
 
3.4%
20110715 1
 
3.4%
20210430 1
 
3.4%
20170404 1
 
3.4%
20160609 1
 
3.4%
20140507 1
 
3.4%
Other values (2) 2
 
6.9%
(Missing) 17
58.6%
ValueCountFrequency (%)
20110715 1
3.4%
20130731 1
3.4%
20131128 1
3.4%
20140306 1
3.4%
20140507 1
3.4%
20160609 1
3.4%
20161031 1
3.4%
20170404 1
3.4%
20180228 1
3.4%
20190110 1
3.4%
ValueCountFrequency (%)
20210518 1
3.4%
20210430 1
3.4%
20190110 1
3.4%
20180228 1
3.4%
20170404 1
3.4%
20161031 1
3.4%
20160609 1
3.4%
20140507 1
3.4%
20140306 1
3.4%
20131128 1
3.4%

휴업시작일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing21
Missing (%)72.4%
Memory size364.0 B
Minimum2017-03-28 00:00:00
Maximum2024-04-15 00:00:00
2024-04-30T03:56:36.096470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:36.185663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업종료일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing21
Missing (%)72.4%
Memory size364.0 B
Minimum2017-06-30 00:00:00
Maximum2024-12-31 00:00:00
2024-04-30T03:56:36.270785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:36.349014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing5
Missing (%)17.2%
Memory size364.0 B
2024-04-30T03:56:36.497789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.291667
Min length8

Characters and Unicode

Total characters247
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

Unique22 ?
Unique (%)91.7%

Sample

1st row552-0100
2nd row541-5673
3rd row02-3412-0101
4th row02-546-3493
5th row558-7769
ValueCountFrequency (%)
02-3453-4628 2
 
8.3%
02-1899-2227 1
 
4.2%
552-0100 1
 
4.2%
02-575-7870 1
 
4.2%
02)517-2433 1
 
4.2%
02-3471-2233 1
 
4.2%
02-512-0500 1
 
4.2%
02-555-9550 1
 
4.2%
02-577-8677 1
 
4.2%
02-508-0013 1
 
4.2%
Other values (13) 13
54.2%
2024-04-30T03:56:36.769647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 39
15.8%
- 38
15.4%
0 37
15.0%
2 31
12.6%
3 21
8.5%
7 19
7.7%
4 18
7.3%
6 12
 
4.9%
1 12
 
4.9%
8 10
 
4.0%
Other values (2) 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 207
83.8%
Dash Punctuation 38
 
15.4%
Close Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 39
18.8%
0 37
17.9%
2 31
15.0%
3 21
10.1%
7 19
9.2%
4 18
8.7%
6 12
 
5.8%
1 12
 
5.8%
8 10
 
4.8%
9 8
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 39
15.8%
- 38
15.4%
0 37
15.0%
2 31
12.6%
3 21
8.5%
7 19
7.7%
4 18
7.3%
6 12
 
4.9%
1 12
 
4.9%
8 10
 
4.0%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 39
15.8%
- 38
15.4%
0 37
15.0%
2 31
12.6%
3 21
8.5%
7 19
7.7%
4 18
7.3%
6 12
 
4.9%
1 12
 
4.9%
8 10
 
4.0%
Other values (2) 10
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing21
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean119600.25
Minimum6100
Maximum135917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:36.875906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6100
5-th percentile51395.25
Q1135753.5
median135842
Q3135867.75
95-th percentile135908.95
Maximum135917
Range129817
Interquartile range (IQR)114.25

Descriptive statistics

Standard deviation45861.198
Coefficient of variation (CV)0.38345403
Kurtosis7.99982
Mean119600.25
Median Absolute Deviation (MAD)34.5
Skewness-2.8283848
Sum956802
Variance2.1032495 × 109
MonotonicityNot monotonic
2024-04-30T03:56:36.980159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
135842 2
 
6.9%
135833 1
 
3.4%
135894 1
 
3.4%
135515 1
 
3.4%
135917 1
 
3.4%
135859 1
 
3.4%
6100 1
 
3.4%
(Missing) 21
72.4%
ValueCountFrequency (%)
6100 1
3.4%
135515 1
3.4%
135833 1
3.4%
135842 2
6.9%
135859 1
3.4%
135894 1
3.4%
135917 1
3.4%
ValueCountFrequency (%)
135917 1
3.4%
135894 1
3.4%
135859 1
3.4%
135842 2
6.9%
135833 1
3.4%
135515 1
3.4%
6100 1
3.4%

지번주소
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing4
Missing (%)13.8%
Memory size364.0 B
2024-04-30T03:56:37.181431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.84
Min length21

Characters and Unicode

Total characters696
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 강남구 역삼동 786번지 12호
2nd row서울특별시 강남구 청담동 132번지 16호 청구 빌딩 2층
3rd row서울특별시 강남구 논현2동 277번지 27호
4th row서울특별시 강남구 개포동 1239번지 17호 문화빌딩 5,6층
5th row서울특별시 강남구 신사동 616번지 3호 1~5층
ValueCountFrequency (%)
서울특별시 25
 
16.8%
강남구 25
 
16.8%
12호 5
 
3.4%
역삼동 4
 
2.7%
3층 4
 
2.7%
삼성동 4
 
2.7%
1호 4
 
2.7%
청담동 4
 
2.7%
신사동 3
 
2.0%
대치2동 2
 
1.3%
Other values (62) 69
46.3%
2024-04-30T03:56:37.514520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
17.8%
1 36
 
5.2%
강 26
 
3.7%
남 26
 
3.7%
구 26
 
3.7%
지 26
 
3.7%
서 25
 
3.6%
특 25
 
3.6%
별 25
 
3.6%
시 25
 
3.6%
Other values (68) 332
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
59.1%
Decimal Number 138
 
19.8%
Space Separator 124
 
17.8%
Uppercase Letter 12
 
1.7%
Math Symbol 7
 
1.0%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 26
 
6.3%
남 26
 
6.3%
구 26
 
6.3%
지 26
 
6.3%
서 25
 
6.1%
특 25
 
6.1%
별 25
 
6.1%
시 25
 
6.1%
울 25
 
6.1%
동 25
 
6.1%
Other values (46) 157
38.2%
Decimal Number
ValueCountFrequency (%)
1 36
26.1%
2 19
13.8%
3 16
11.6%
7 13
 
9.4%
6 13
 
9.4%
5 12
 
8.7%
8 9
 
6.5%
9 9
 
6.5%
4 6
 
4.3%
0 5
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
O 3
25.0%
S 2
16.7%
T 1
 
8.3%
R 1
 
8.3%
E 1
 
8.3%
W 1
 
8.3%
M 1
 
8.3%
I 1
 
8.3%
B 1
 
8.3%
Space Separator
ValueCountFrequency (%)
124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
59.1%
Common 273
39.2%
Latin 12
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 26
 
6.3%
남 26
 
6.3%
구 26
 
6.3%
지 26
 
6.3%
서 25
 
6.1%
특 25
 
6.1%
별 25
 
6.1%
시 25
 
6.1%
울 25
 
6.1%
동 25
 
6.1%
Other values (46) 157
38.2%
Common
ValueCountFrequency (%)
124
45.4%
1 36
 
13.2%
2 19
 
7.0%
3 16
 
5.9%
7 13
 
4.8%
6 13
 
4.8%
5 12
 
4.4%
8 9
 
3.3%
9 9
 
3.3%
~ 7
 
2.6%
Other values (3) 15
 
5.5%
Latin
ValueCountFrequency (%)
O 3
25.0%
S 2
16.7%
T 1
 
8.3%
R 1
 
8.3%
E 1
 
8.3%
W 1
 
8.3%
M 1
 
8.3%
I 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
59.1%
ASCII 285
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
43.5%
1 36
 
12.6%
2 19
 
6.7%
3 16
 
5.6%
7 13
 
4.6%
6 13
 
4.6%
5 12
 
4.2%
8 9
 
3.2%
9 9
 
3.2%
~ 7
 
2.5%
Other values (12) 27
 
9.5%
Hangul
ValueCountFrequency (%)
강 26
 
6.3%
남 26
 
6.3%
구 26
 
6.3%
지 26
 
6.3%
서 25
 
6.1%
특 25
 
6.1%
별 25
 
6.1%
시 25
 
6.1%
울 25
 
6.1%
동 25
 
6.1%
Other values (46) 157
38.2%

도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-30T03:56:37.734554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length31.206897
Min length23

Characters and Unicode

Total characters905
Distinct characters100
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row서울특별시 강남구 도곡로 786-19 (역삼동, 정민빌딩)
2nd row서울특별시 강남구 학동로101길 15, 청구 빌딩 2층 (청담동)
3rd row서울특별시 강남구 봉은사로 303 (논현동)
4th row서울특별시 강남구 논현로 98, 문화빌딩 5,6층 (개포동)
5th row서울특별시 강남구 압구정로38길 6, 1~5층 (신사동)
ValueCountFrequency (%)
서울특별시 29
 
16.5%
강남구 29
 
16.5%
역삼동 9
 
5.1%
언주로 5
 
2.8%
삼성동 4
 
2.3%
청담동 4
 
2.3%
303 4
 
2.3%
신사동 3
 
1.7%
논현동 3
 
1.7%
3층 3
 
1.7%
Other values (73) 83
47.2%
2024-04-30T03:56:38.078794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
16.2%
1 36
 
4.0%
동 33
 
3.6%
구 32
 
3.5%
로 30
 
3.3%
강 30
 
3.3%
남 30
 
3.3%
( 29
 
3.2%
) 29
 
3.2%
울 29
 
3.2%
Other values (90) 480
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
56.2%
Space Separator 147
 
16.2%
Decimal Number 141
 
15.6%
Open Punctuation 29
 
3.2%
Close Punctuation 29
 
3.2%
Other Punctuation 24
 
2.7%
Uppercase Letter 14
 
1.5%
Math Symbol 7
 
0.8%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
 
6.5%
구 32
 
6.3%
로 30
 
5.9%
강 30
 
5.9%
남 30
 
5.9%
울 29
 
5.7%
서 29
 
5.7%
시 29
 
5.7%
별 29
 
5.7%
특 29
 
5.7%
Other values (64) 209
41.1%
Decimal Number
ValueCountFrequency (%)
1 36
25.5%
3 26
18.4%
0 14
 
9.9%
6 13
 
9.2%
5 12
 
8.5%
7 11
 
7.8%
2 10
 
7.1%
9 8
 
5.7%
8 6
 
4.3%
4 5
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
O 3
21.4%
M 2
14.3%
S 2
14.3%
E 1
 
7.1%
R 1
 
7.1%
W 1
 
7.1%
B 1
 
7.1%
H 1
 
7.1%
T 1
 
7.1%
I 1
 
7.1%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
56.2%
Common 382
42.2%
Latin 14
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
 
6.5%
구 32
 
6.3%
로 30
 
5.9%
강 30
 
5.9%
남 30
 
5.9%
울 29
 
5.7%
서 29
 
5.7%
시 29
 
5.7%
별 29
 
5.7%
특 29
 
5.7%
Other values (64) 209
41.1%
Common
ValueCountFrequency (%)
147
38.5%
1 36
 
9.4%
( 29
 
7.6%
) 29
 
7.6%
3 26
 
6.8%
, 24
 
6.3%
0 14
 
3.7%
6 13
 
3.4%
5 12
 
3.1%
7 11
 
2.9%
Other values (6) 41
 
10.7%
Latin
ValueCountFrequency (%)
O 3
21.4%
M 2
14.3%
S 2
14.3%
E 1
 
7.1%
R 1
 
7.1%
W 1
 
7.1%
B 1
 
7.1%
H 1
 
7.1%
T 1
 
7.1%
I 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
56.2%
ASCII 396
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
37.1%
1 36
 
9.1%
( 29
 
7.3%
) 29
 
7.3%
3 26
 
6.6%
, 24
 
6.1%
0 14
 
3.5%
6 13
 
3.3%
5 12
 
3.0%
7 11
 
2.8%
Other values (16) 55
 
13.9%
Hangul
ValueCountFrequency (%)
동 33
 
6.5%
구 32
 
6.3%
로 30
 
5.9%
강 30
 
5.9%
남 30
 
5.9%
울 29
 
5.7%
서 29
 
5.7%
시 29
 
5.7%
별 29
 
5.7%
특 29
 
5.7%
Other values (64) 209
41.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)83.3%
Missing5
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean6147.125
Minimum6017
Maximum6373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:38.180187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6017
5-th percentile6027.5
Q16074.25
median6135.5
Q36230
95-th percentile6296.4
Maximum6373
Range356
Interquartile range (IQR)155.75

Descriptive statistics

Standard deviation93.012534
Coefficient of variation (CV)0.015131063
Kurtosis-0.12012821
Mean6147.125
Median Absolute Deviation (MAD)63.5
Skewness0.72398897
Sum147531
Variance8651.3315
MonotonicityNot monotonic
2024-04-30T03:56:38.282157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6230 3
 
10.3%
6072 2
 
6.9%
6136 2
 
6.9%
6135 1
 
3.4%
6166 1
 
3.4%
6100 1
 
3.4%
6373 1
 
3.4%
6071 1
 
3.4%
6017 1
 
3.4%
6091 1
 
3.4%
Other values (10) 10
34.5%
(Missing) 5
17.2%
ValueCountFrequency (%)
6017 1
3.4%
6023 1
3.4%
6053 1
3.4%
6071 1
3.4%
6072 2
6.9%
6075 1
3.4%
6083 1
3.4%
6085 1
3.4%
6091 1
3.4%
6100 1
3.4%
ValueCountFrequency (%)
6373 1
 
3.4%
6303 1
 
3.4%
6259 1
 
3.4%
6253 1
 
3.4%
6230 3
10.3%
6189 1
 
3.4%
6166 1
 
3.4%
6149 1
 
3.4%
6136 2
6.9%
6135 1
 
3.4%

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-30T03:56:38.455887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.965517
Min length7

Characters and Unicode

Total characters318
Distinct characters79
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

Unique29 ?
Unique (%)100.0%

Sample

1st row행복한 산후조리원
2nd row트리니티산후조리원(청담점)
3rd row아이통곡산후조리원
4th row한아름산후조리원
5th row호산산후조리원
ValueCountFrequency (%)
산후조리원 17
29.8%
궁 3
 
5.3%
주식회사 2
 
3.5%
청담베네크레산후조리원 1
 
1.8%
알루베베산후조리원 1
 
1.8%
트리니티산후조리원(삼성점 1
 
1.8%
주)그녀의 1
 
1.8%
정원 1
 
1.8%
드라마 1
 
1.8%
도곡 1
 
1.8%
Other values (28) 28
49.1%
2024-04-30T03:56:38.727832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 34
 
10.7%
원 32
 
10.1%
산 30
 
9.4%
28
 
8.8%
후 28
 
8.8%
조 28
 
8.8%
마 5
 
1.6%
라 5
 
1.6%
) 5
 
1.6%
점 5
 
1.6%
Other values (69) 118
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
84.0%
Space Separator 28
 
8.8%
Lowercase Letter 8
 
2.5%
Close Punctuation 5
 
1.6%
Open Punctuation 5
 
1.6%
Uppercase Letter 3
 
0.9%
Decimal Number 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 34
 
12.7%
원 32
 
12.0%
산 30
 
11.2%
후 28
 
10.5%
조 28
 
10.5%
마 5
 
1.9%
라 5
 
1.9%
점 5
 
1.9%
레 4
 
1.5%
베 4
 
1.5%
Other values (54) 92
34.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
n 1
12.5%
i 1
12.5%
t 1
12.5%
p 1
12.5%
r 1
12.5%
k 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
M 1
33.3%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
84.0%
Common 40
 
12.6%
Latin 11
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 34
 
12.7%
원 32
 
12.0%
산 30
 
11.2%
후 28
 
10.5%
조 28
 
10.5%
마 5
 
1.9%
라 5
 
1.9%
점 5
 
1.9%
레 4
 
1.5%
베 4
 
1.5%
Other values (54) 92
34.5%
Latin
ValueCountFrequency (%)
a 2
18.2%
n 1
9.1%
i 1
9.1%
S 1
9.1%
t 1
9.1%
p 1
9.1%
r 1
9.1%
k 1
9.1%
M 1
9.1%
H 1
9.1%
Common
ValueCountFrequency (%)
28
70.0%
) 5
 
12.5%
( 5
 
12.5%
2 1
 
2.5%
& 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
84.0%
ASCII 51
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 34
 
12.7%
원 32
 
12.0%
산 30
 
11.2%
후 28
 
10.5%
조 28
 
10.5%
마 5
 
1.9%
라 5
 
1.9%
점 5
 
1.9%
레 4
 
1.5%
베 4
 
1.5%
Other values (54) 92
34.5%
ASCII
ValueCountFrequency (%)
28
54.9%
) 5
 
9.8%
( 5
 
9.8%
a 2
 
3.9%
2 1
 
2.0%
n 1
 
2.0%
i 1
 
2.0%
S 1
 
2.0%
t 1
 
2.0%
p 1
 
2.0%
Other values (5) 5
 
9.8%

최종수정일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2013-11-28 16:51:11
Maximum2024-04-15 17:17:37
2024-04-30T03:56:38.834280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:38.942763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
19 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 19
65.5%
I 10
34.5%

Length

2024-04-30T03:56:39.054271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:39.133088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 19
65.5%
i 10
34.5%

데이터갱신일자
Date

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-04-30T03:56:39.205754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:56:39.294761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing2
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean204165.53
Minimum202786.82
Maximum208396.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:39.390495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202786.82
5-th percentile202825.93
Q1203004.67
median204004.33
Q3204790.98
95-th percentile205766.53
Maximum208396.74
Range5609.9275
Interquartile range (IQR)1786.3113

Descriptive statistics

Standard deviation1272.2803
Coefficient of variation (CV)0.0062316115
Kurtosis3.2953089
Mean204165.53
Median Absolute Deviation (MAD)857.90907
Skewness1.4553749
Sum5512469.3
Variance1618697.1
MonotonicityNot monotonic
2024-04-30T03:56:39.488333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
204004.328388149 3
 
10.3%
202983.070885408 2
 
6.9%
205766.531433892 2
 
6.9%
203691.216575414 1
 
3.4%
208396.743385115 1
 
3.4%
204624.996016828 1
 
3.4%
204785.437108246 1
 
3.4%
202969.639103322 1
 
3.4%
203146.419320892 1
 
3.4%
204436.970849641 1
 
3.4%
Other values (13) 13
44.8%
(Missing) 2
 
6.9%
ValueCountFrequency (%)
202786.815886266 1
3.4%
202803.137561335 1
3.4%
202879.096032846 1
3.4%
202969.639103322 1
3.4%
202979.308817323 1
3.4%
202983.070885408 2
6.9%
203026.272623345 1
3.4%
203146.419320892 1
3.4%
203479.293031865 1
3.4%
203691.216575414 1
3.4%
ValueCountFrequency (%)
208396.743385115 1
3.4%
205766.531433892 2
6.9%
205685.206218981 1
3.4%
205004.086672612 1
3.4%
204855.579518894 1
3.4%
204796.528984474 1
3.4%
204785.437108246 1
3.4%
204670.698917723 1
3.4%
204624.996016828 1
3.4%
204436.970849641 1
3.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing2
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean445025.67
Minimum441093.95
Maximum447402.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:39.580309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441093.95
5-th percentile442189.56
Q1443597.98
median445256.31
Q3446347.68
95-th percentile447361.44
Maximum447402.3
Range6308.3496
Interquartile range (IQR)2749.7026

Descriptive statistics

Standard deviation1701.2853
Coefficient of variation (CV)0.0038228925
Kurtosis-0.36926132
Mean445025.67
Median Absolute Deviation (MAD)1308.3462
Skewness-0.55183657
Sum12015693
Variance2894371.6
MonotonicityNot monotonic
2024-04-30T03:56:39.854053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
443597.980050957 3
 
10.3%
443022.20537814 2
 
6.9%
444407.220534592 2
 
6.9%
445630.943074822 1
 
3.4%
441093.949862979 1
 
3.4%
446759.42717493 1
 
3.4%
446530.444402431 1
 
3.4%
447402.299460543 1
 
3.4%
444976.079528745 1
 
3.4%
446036.981492805 1
 
3.4%
Other values (13) 13
44.8%
(Missing) 2
 
6.9%
ValueCountFrequency (%)
441093.949862979 1
 
3.4%
441832.716970491 1
 
3.4%
443022.20537814 2
6.9%
443189.823482655 1
 
3.4%
443597.980050957 3
10.3%
444407.220534592 2
6.9%
444965.788565979 1
 
3.4%
444973.446470304 1
 
3.4%
444976.079528745 1
 
3.4%
445256.313474871 1
 
3.4%
ValueCountFrequency (%)
447402.299460543 1
3.4%
447368.00014 1
3.4%
447346.125591591 1
3.4%
446759.42717493 1
3.4%
446576.858605648 1
3.4%
446564.659683453 1
3.4%
446530.444402431 1
3.4%
446164.920842784 1
3.4%
446036.981492805 1
3.4%
446000.947269911 1
3.4%

임산부정원수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)52.4%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean16.285714
Minimum7
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:39.959785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q115
median16
Q318
95-th percentile22
Maximum29
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.7973207
Coefficient of variation (CV)0.29457232
Kurtosis2.0101448
Mean16.285714
Median Absolute Deviation (MAD)2
Skewness0.32183749
Sum342
Variance23.014286
MonotonicityNot monotonic
2024-04-30T03:56:40.052616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15 4
13.8%
18 3
 
10.3%
13 2
 
6.9%
7 2
 
6.9%
16 2
 
6.9%
19 2
 
6.9%
17 2
 
6.9%
12 1
 
3.4%
29 1
 
3.4%
22 1
 
3.4%
(Missing) 8
27.6%
ValueCountFrequency (%)
7 2
6.9%
12 1
 
3.4%
13 2
6.9%
15 4
13.8%
16 2
6.9%
17 2
6.9%
18 3
10.3%
19 2
6.9%
21 1
 
3.4%
22 1
 
3.4%
ValueCountFrequency (%)
29 1
 
3.4%
22 1
 
3.4%
21 1
 
3.4%
19 2
6.9%
18 3
10.3%
17 2
6.9%
16 2
6.9%
15 4
13.8%
13 2
6.9%
12 1
 
3.4%

영유아정원수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)57.1%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean16.52381
Minimum7
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:40.139709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q115
median16
Q318
95-th percentile24
Maximum29
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.0558782
Coefficient of variation (CV)0.30597534
Kurtosis1.2368255
Mean16.52381
Median Absolute Deviation (MAD)2
Skewness0.30642723
Sum347
Variance25.561905
MonotonicityNot monotonic
2024-04-30T03:56:40.225256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15 4
13.8%
18 3
 
10.3%
13 2
 
6.9%
7 2
 
6.9%
16 2
 
6.9%
17 2
 
6.9%
12 1
 
3.4%
19 1
 
3.4%
29 1
 
3.4%
24 1
 
3.4%
Other values (2) 2
 
6.9%
(Missing) 8
27.6%
ValueCountFrequency (%)
7 2
6.9%
12 1
 
3.4%
13 2
6.9%
15 4
13.8%
16 2
6.9%
17 2
6.9%
18 3
10.3%
19 1
 
3.4%
21 1
 
3.4%
22 1
 
3.4%
ValueCountFrequency (%)
29 1
 
3.4%
24 1
 
3.4%
22 1
 
3.4%
21 1
 
3.4%
19 1
 
3.4%
18 3
10.3%
17 2
6.9%
16 2
6.9%
15 4
13.8%
13 2
6.9%

임산부실면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean328.64143
Minimum108
Maximum733.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:40.305971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile124.42
Q1258
median320.5
Q3360.5
95-th percentile669
Maximum733.4
Range625.4
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation151.24775
Coefficient of variation (CV)0.46022121
Kurtosis2.415159
Mean328.64143
Median Absolute Deviation (MAD)62.5
Skewness1.2814292
Sum6901.47
Variance22875.883
MonotonicityNot monotonic
2024-04-30T03:56:40.391877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
258.0 2
 
6.9%
302.09 2
 
6.9%
334.2 1
 
3.4%
733.4 1
 
3.4%
249.44 1
 
3.4%
221.07 1
 
3.4%
444.9 1
 
3.4%
355.5 1
 
3.4%
669.0 1
 
3.4%
361.2 1
 
3.4%
Other values (9) 9
31.0%
(Missing) 8
27.6%
ValueCountFrequency (%)
108.0 1
3.4%
124.42 1
3.4%
148.0 1
3.4%
221.07 1
3.4%
249.44 1
3.4%
258.0 2
6.9%
281.13 1
3.4%
302.09 2
6.9%
320.5 1
3.4%
327.9 1
3.4%
ValueCountFrequency (%)
733.4 1
3.4%
669.0 1
3.4%
444.9 1
3.4%
411.82 1
3.4%
361.2 1
3.4%
360.5 1
3.4%
355.5 1
3.4%
334.2 1
3.4%
330.31 1
3.4%
327.9 1
3.4%

영유아실면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing9
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean37.739
Minimum2.74
Maximum75.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:40.481471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.74
5-th percentile14.957
Q126.6825
median35.17
Q349.6
95-th percentile74.47
Maximum75.8
Range73.06
Interquartile range (IQR)22.9175

Descriptive statistics

Standard deviation18.96062
Coefficient of variation (CV)0.50241448
Kurtosis0.067665764
Mean37.739
Median Absolute Deviation (MAD)8.73
Skewness0.52408029
Sum754.78
Variance359.50511
MonotonicityNot monotonic
2024-04-30T03:56:40.575225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
35.17 2
 
6.9%
63.4 1
 
3.4%
75.8 1
 
3.4%
26.69 1
 
3.4%
17.15 1
 
3.4%
54.78 1
 
3.4%
26.22 1
 
3.4%
50.2 1
 
3.4%
74.4 1
 
3.4%
26.66 1
 
3.4%
Other values (9) 9
31.0%
(Missing) 9
31.0%
ValueCountFrequency (%)
2.74 1
3.4%
15.6 1
3.4%
17.15 1
3.4%
26.22 1
3.4%
26.66 1
3.4%
26.69 1
3.4%
28.0 1
3.4%
29.0 1
3.4%
29.8 1
3.4%
35.17 2
6.9%
ValueCountFrequency (%)
75.8 1
3.4%
74.4 1
3.4%
63.4 1
3.4%
54.78 1
3.4%
50.2 1
3.4%
49.4 1
3.4%
42.9 1
3.4%
36.06 1
3.4%
35.64 1
3.4%
35.17 2
6.9%

모유수유실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)78.6%
Missing15
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean9.0657143
Minimum0
Maximum18.6
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:40.661884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.15
median9.51
Q313.875
95-th percentile16.2145
Maximum18.6
Range18.6
Interquartile range (IQR)7.725

Descriptive statistics

Standard deviation5.9882946
Coefficient of variation (CV)0.66054306
Kurtosis-0.81053426
Mean9.0657143
Median Absolute Deviation (MAD)4.25
Skewness-0.34415621
Sum126.92
Variance35.859673
MonotonicityNot monotonic
2024-04-30T03:56:40.753206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 3
 
10.3%
12.0 2
 
6.9%
14.93 1
 
3.4%
8.6 1
 
3.4%
14.67 1
 
3.4%
14.5 1
 
3.4%
6.0 1
 
3.4%
9.7 1
 
3.4%
18.6 1
 
3.4%
6.6 1
 
3.4%
(Missing) 15
51.7%
ValueCountFrequency (%)
0.0 3
10.3%
6.0 1
 
3.4%
6.6 1
 
3.4%
8.6 1
 
3.4%
9.32 1
 
3.4%
9.7 1
 
3.4%
12.0 2
6.9%
14.5 1
 
3.4%
14.67 1
 
3.4%
14.93 1
 
3.4%
ValueCountFrequency (%)
18.6 1
3.4%
14.93 1
3.4%
14.67 1
3.4%
14.5 1
3.4%
12.0 2
6.9%
9.7 1
3.4%
9.32 1
3.4%
8.6 1
3.4%
6.6 1
3.4%
6.0 1
3.4%

급식시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)88.2%
Missing12
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean39.399412
Minimum0
Maximum167.25
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:40.853568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.02
median29.4
Q351.5
95-th percentile86.41
Maximum167.25
Range167.25
Interquartile range (IQR)28.48

Descriptive statistics

Standard deviation38.082069
Coefficient of variation (CV)0.9665644
Kurtosis8.1961389
Mean39.399412
Median Absolute Deviation (MAD)15.3
Skewness2.5060098
Sum669.79
Variance1450.244
MonotonicityNot monotonic
2024-04-30T03:56:40.943449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
33.23 2
 
6.9%
0.0 2
 
6.9%
167.25 1
 
3.4%
23.02 1
 
3.4%
44.7 1
 
3.4%
14.0 1
 
3.4%
14.18 1
 
3.4%
23.1 1
 
3.4%
29.4 1
 
3.4%
66.2 1
 
3.4%
Other values (5) 5
17.2%
(Missing) 12
41.4%
ValueCountFrequency (%)
0.0 2
6.9%
14.0 1
3.4%
14.18 1
3.4%
23.02 1
3.4%
23.1 1
3.4%
27.8 1
3.4%
28.38 1
3.4%
29.4 1
3.4%
33.23 2
6.9%
44.7 1
3.4%
ValueCountFrequency (%)
167.25 1
3.4%
66.2 1
3.4%
57.6 1
3.4%
56.2 1
3.4%
51.5 1
3.4%
44.7 1
3.4%
33.23 2
6.9%
29.4 1
3.4%
28.38 1
3.4%
27.8 1
3.4%

세탁실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)82.4%
Missing12
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean9.0105882
Minimum0
Maximum25.4
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:41.055379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.86
median8.29
Q314.3
95-th percentile19.72
Maximum25.4
Range25.4
Interquartile range (IQR)9.44

Descriptive statistics

Standard deviation7.0060344
Coefficient of variation (CV)0.77753352
Kurtosis0.31837993
Mean9.0105882
Median Absolute Deviation (MAD)6.01
Skewness0.63130959
Sum153.18
Variance49.084518
MonotonicityNot monotonic
2024-04-30T03:56:41.167463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 3
 
10.3%
14.3 2
 
6.9%
5.5 1
 
3.4%
8.02 1
 
3.4%
11.51 1
 
3.4%
8.29 1
 
3.4%
8.5 1
 
3.4%
6.6 1
 
3.4%
10.6 1
 
3.4%
15.0 1
 
3.4%
Other values (4) 4
 
13.8%
(Missing) 12
41.4%
ValueCountFrequency (%)
0.0 3
10.3%
2.0 1
 
3.4%
4.86 1
 
3.4%
5.5 1
 
3.4%
6.6 1
 
3.4%
8.02 1
 
3.4%
8.29 1
 
3.4%
8.5 1
 
3.4%
10.6 1
 
3.4%
11.51 1
 
3.4%
ValueCountFrequency (%)
25.4 1
3.4%
18.3 1
3.4%
15.0 1
3.4%
14.3 2
6.9%
11.51 1
3.4%
10.6 1
3.4%
8.5 1
3.4%
8.29 1
3.4%
8.02 1
3.4%
6.6 1
3.4%

목욕실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)92.3%
Missing16
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean15.61
Minimum0
Maximum43.9
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:41.254016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median6.29
Q323.04
95-th percentile38.56
Maximum43.9
Range43.9
Interquartile range (IQR)18.54

Descriptive statistics

Standard deviation15.017393
Coefficient of variation (CV)0.96203672
Kurtosis-1.0426394
Mean15.61
Median Absolute Deviation (MAD)6.29
Skewness0.60361294
Sum202.93
Variance225.5221
MonotonicityNot monotonic
2024-04-30T03:56:41.334784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 2
 
6.9%
1.48 1
 
3.4%
35.0 1
 
3.4%
4.9 1
 
3.4%
31.92 1
 
3.4%
23.04 1
 
3.4%
22.8 1
 
3.4%
4.5 1
 
3.4%
43.9 1
 
3.4%
23.0 1
 
3.4%
Other values (2) 2
 
6.9%
(Missing) 16
55.2%
ValueCountFrequency (%)
0.0 2
6.9%
1.48 1
3.4%
4.5 1
3.4%
4.9 1
3.4%
6.1 1
3.4%
6.29 1
3.4%
22.8 1
3.4%
23.0 1
3.4%
23.04 1
3.4%
31.92 1
3.4%
ValueCountFrequency (%)
43.9 1
3.4%
35.0 1
3.4%
31.92 1
3.4%
23.04 1
3.4%
23.0 1
3.4%
22.8 1
3.4%
6.29 1
3.4%
6.1 1
3.4%
4.9 1
3.4%
4.5 1
3.4%

조리원화장실면적
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing12
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean39.344118
Minimum2.8
Maximum108.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:41.426499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile4.16
Q110.9
median28.8
Q358.54
95-th percentile99.06
Maximum108.1
Range105.3
Interquartile range (IQR)47.64

Descriptive statistics

Standard deviation33.373407
Coefficient of variation (CV)0.84824389
Kurtosis-0.27887704
Mean39.344118
Median Absolute Deviation (MAD)19.1
Skewness0.90420726
Sum668.85
Variance1113.7843
MonotonicityNot monotonic
2024-04-30T03:56:41.524297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5.85 1
 
3.4%
36.6 1
 
3.4%
58.54 1
 
3.4%
21.81 1
 
3.4%
108.1 1
 
3.4%
9.7 1
 
3.4%
26.5 1
 
3.4%
2.8 1
 
3.4%
24.81 1
 
3.4%
96.8 1
 
3.4%
Other values (7) 7
24.1%
(Missing) 12
41.4%
ValueCountFrequency (%)
2.8 1
3.4%
4.5 1
3.4%
5.85 1
3.4%
9.7 1
3.4%
10.9 1
3.4%
21.81 1
3.4%
24.81 1
3.4%
26.5 1
3.4%
28.8 1
3.4%
34.98 1
3.4%
ValueCountFrequency (%)
108.1 1
3.4%
96.8 1
3.4%
88.5 1
3.4%
68.0 1
3.4%
58.54 1
3.4%
41.66 1
3.4%
36.6 1
3.4%
34.98 1
3.4%
28.8 1
3.4%
26.5 1
3.4%

사무실면적
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing15
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean18.900714
Minimum5.44
Maximum43.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:41.620371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.44
5-th percentile6.064
Q110.2525
median12.395
Q326.1175
95-th percentile39.3965
Maximum43.29
Range37.85
Interquartile range (IQR)15.865

Descriptive statistics

Standard deviation12.470016
Coefficient of variation (CV)0.65976427
Kurtosis-0.74525671
Mean18.900714
Median Absolute Deviation (MAD)6.475
Skewness0.7707568
Sum264.61
Variance155.5013
MonotonicityNot monotonic
2024-04-30T03:56:41.729727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10.41 2
 
6.9%
5.44 1
 
3.4%
11.84 1
 
3.4%
25.27 1
 
3.4%
33.7 1
 
3.4%
8.2 1
 
3.4%
6.4 1
 
3.4%
22.8 1
 
3.4%
10.2 1
 
3.4%
26.4 1
 
3.4%
Other values (3) 3
 
10.3%
(Missing) 15
51.7%
ValueCountFrequency (%)
5.44 1
3.4%
6.4 1
3.4%
8.2 1
3.4%
10.2 1
3.4%
10.41 2
6.9%
11.84 1
3.4%
12.95 1
3.4%
22.8 1
3.4%
25.27 1
3.4%
26.4 1
3.4%
ValueCountFrequency (%)
43.29 1
3.4%
37.3 1
3.4%
33.7 1
3.4%
26.4 1
3.4%
25.27 1
3.4%
22.8 1
3.4%
12.95 1
3.4%
11.84 1
3.4%
10.41 2
6.9%
10.2 1
3.4%

간호사수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)42.9%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean5.8571429
Minimum3
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:41.829722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median4
Q37
95-th percentile12
Maximum18
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.8377821
Coefficient of variation (CV)0.65523109
Kurtosis4.0894077
Mean5.8571429
Median Absolute Deviation (MAD)1
Skewness1.9918244
Sum123
Variance14.728571
MonotonicityNot monotonic
2024-04-30T03:56:41.928276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 7
24.1%
3 5
17.2%
5 3
 
10.3%
9 1
 
3.4%
12 1
 
3.4%
8 1
 
3.4%
11 1
 
3.4%
7 1
 
3.4%
18 1
 
3.4%
(Missing) 8
27.6%
ValueCountFrequency (%)
3 5
17.2%
4 7
24.1%
5 3
10.3%
7 1
 
3.4%
8 1
 
3.4%
9 1
 
3.4%
11 1
 
3.4%
12 1
 
3.4%
18 1
 
3.4%
ValueCountFrequency (%)
18 1
 
3.4%
12 1
 
3.4%
11 1
 
3.4%
9 1
 
3.4%
8 1
 
3.4%
7 1
 
3.4%
5 3
10.3%
4 7
24.1%
3 5
17.2%

간호조무사수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)52.4%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean6.5238095
Minimum0
Maximum25
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:42.031754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile15
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8959227
Coefficient of variation (CV)0.90375458
Kurtosis3.7728997
Mean6.5238095
Median Absolute Deviation (MAD)2
Skewness1.6861689
Sum137
Variance34.761905
MonotonicityNot monotonic
2024-04-30T03:56:42.134991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 4
13.8%
5 3
 
10.3%
3 3
 
10.3%
0 3
 
10.3%
12 2
 
6.9%
11 1
 
3.4%
4 1
 
3.4%
15 1
 
3.4%
2 1
 
3.4%
8 1
 
3.4%
(Missing) 8
27.6%
ValueCountFrequency (%)
0 3
10.3%
2 1
 
3.4%
3 3
10.3%
4 1
 
3.4%
5 3
10.3%
6 4
13.8%
8 1
 
3.4%
11 1
 
3.4%
12 2
6.9%
15 1
 
3.4%
ValueCountFrequency (%)
25 1
 
3.4%
15 1
 
3.4%
12 2
6.9%
11 1
 
3.4%
8 1
 
3.4%
6 4
13.8%
5 3
10.3%
4 1
 
3.4%
3 3
10.3%
2 1
 
3.4%

영양사수
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
22 
1
5 
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.2758621
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
75.9%
1 5
 
17.2%
2 1
 
3.4%
0 1
 
3.4%

Length

2024-04-30T03:56:42.254674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:42.341312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
75.9%
1 5
 
17.2%
2 1
 
3.4%
0 1
 
3.4%

취사부수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)31.6%
Missing10
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean2.1052632
Minimum0
Maximum5
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:42.420404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4867839
Coefficient of variation (CV)0.70622234
Kurtosis-0.41151461
Mean2.1052632
Median Absolute Deviation (MAD)1
Skewness0.82017374
Sum40
Variance2.2105263
MonotonicityNot monotonic
2024-04-30T03:56:42.506392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 8
27.6%
2 4
 
13.8%
3 2
 
6.9%
4 2
 
6.9%
5 2
 
6.9%
0 1
 
3.4%
(Missing) 10
34.5%
ValueCountFrequency (%)
0 1
 
3.4%
1 8
27.6%
2 4
13.8%
3 2
 
6.9%
4 2
 
6.9%
5 2
 
6.9%
ValueCountFrequency (%)
5 2
 
6.9%
4 2
 
6.9%
3 2
 
6.9%
2 4
13.8%
1 8
27.6%
0 1
 
3.4%

미화원수
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
10 
1
7 
2
7 
3
4 
4
 
1

Length

Max length4
Median length1
Mean length2.0344828
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 10
34.5%
1 7
24.1%
2 7
24.1%
3 4
 
13.8%
4 1
 
3.4%

Length

2024-04-30T03:56:42.607232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:42.699946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
34.5%
1 7
24.1%
2 7
24.1%
3 4
 
13.8%
4 1
 
3.4%

기타인원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)72.7%
Missing18
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean3.7272727
Minimum0
Maximum8
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:42.778815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q12
median3
Q36
95-th percentile7.5
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6491851
Coefficient of variation (CV)0.71075698
Kurtosis-1.2757389
Mean3.7272727
Median Absolute Deviation (MAD)2
Skewness0.31977767
Sum41
Variance7.0181818
MonotonicityNot monotonic
2024-04-30T03:56:42.877576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 3
 
10.3%
6 2
 
6.9%
4 1
 
3.4%
1 1
 
3.4%
3 1
 
3.4%
7 1
 
3.4%
0 1
 
3.4%
8 1
 
3.4%
(Missing) 18
62.1%
ValueCountFrequency (%)
0 1
 
3.4%
1 1
 
3.4%
2 3
10.3%
3 1
 
3.4%
4 1
 
3.4%
6 2
6.9%
7 1
 
3.4%
8 1
 
3.4%
ValueCountFrequency (%)
8 1
 
3.4%
7 1
 
3.4%
6 2
6.9%
4 1
 
3.4%
3 1
 
3.4%
2 3
10.3%
1 1
 
3.4%
0 1
 
3.4%

건물층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)45.0%
Missing9
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean6.05
Minimum0
Maximum17
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:42.976097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6.5
Q38
95-th percentile11.3
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.14824
Coefficient of variation (CV)0.6856595
Kurtosis1.2652622
Mean6.05
Median Absolute Deviation (MAD)3
Skewness0.62422564
Sum121
Variance17.207895
MonotonicityNot monotonic
2024-04-30T03:56:43.060770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 4
13.8%
7 4
13.8%
0 3
 
10.3%
6 3
 
10.3%
8 2
 
6.9%
17 1
 
3.4%
11 1
 
3.4%
10 1
 
3.4%
9 1
 
3.4%
(Missing) 9
31.0%
ValueCountFrequency (%)
0 3
10.3%
3 4
13.8%
6 3
10.3%
7 4
13.8%
8 2
6.9%
9 1
 
3.4%
10 1
 
3.4%
11 1
 
3.4%
17 1
 
3.4%
ValueCountFrequency (%)
17 1
 
3.4%
11 1
 
3.4%
10 1
 
3.4%
9 1
 
3.4%
8 2
6.9%
7 4
13.8%
6 3
10.3%
3 4
13.8%
0 3
10.3%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing13
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean6.25
Minimum2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-30T03:56:43.167548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.75
Q14.75
median6
Q37
95-th percentile9.75
Maximum15
Range13
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.9552214
Coefficient of variation (CV)0.47283542
Kurtosis4.729072
Mean6.25
Median Absolute Deviation (MAD)1
Skewness1.5454228
Sum100
Variance8.7333333
MonotonicityNot monotonic
2024-04-30T03:56:43.264307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 4
 
13.8%
7 4
 
13.8%
8 2
 
6.9%
3 2
 
6.9%
4 1
 
3.4%
2 1
 
3.4%
5 1
 
3.4%
15 1
 
3.4%
(Missing) 13
44.8%
ValueCountFrequency (%)
2 1
 
3.4%
3 2
6.9%
4 1
 
3.4%
5 1
 
3.4%
6 4
13.8%
7 4
13.8%
8 2
6.9%
15 1
 
3.4%
ValueCountFrequency (%)
15 1
 
3.4%
8 2
6.9%
7 4
13.8%
6 4
13.8%
5 1
 
3.4%
4 1
 
3.4%
3 2
6.9%
2 1
 
3.4%

지하층수
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
18 
2
6 
1
2 
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length2.862069
Min length1

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
62.1%
2 6
 
20.7%
1 2
 
6.9%
6 1
 
3.4%
4 1
 
3.4%
0 1
 
3.4%

Length

2024-04-30T03:56:43.372474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:56:43.481897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
62.1%
2 6
 
20.7%
1 2
 
6.9%
6 1
 
3.4%
4 1
 
3.4%
0 1
 
3.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)임산부정원수영유아정원수임산부실면적영유아실면적모유수유실면적급식시설면적세탁실면적목욕실면적조리원화장실면적사무실면적간호사수간호조무사수영양사수취사부수미화원수기타인원수건물층수지상층수지하층수
03220000PHMB12005322003304210000120050929<NA>3폐업3폐업20161031<NA><NA><NA>552-0100<NA><NA>서울특별시 강남구 역삼동 786번지 12호서울특별시 강남구 도곡로 786-19 (역삼동, 정민빌딩)6230행복한 산후조리원2016-10-25 19:19:22I2018-08-31 23:59:59.0<NA><NA><NA>1313124.4226.66<NA>167.255.51.4824.815.4446<NA>21<NA>0<NA><NA>
13220000PHMB12006322003304210000120061127<NA>3폐업3폐업202105182017071320170801<NA>541-5673<NA><NA>서울특별시 강남구 청담동 132번지 16호 청구 빌딩 2층서울특별시 강남구 학동로101길 15, 청구 빌딩 2층 (청담동)6075트리니티산후조리원(청담점)2021-05-18 16:36:07U2021-05-20 02:40:00.0<NA>205004.086673446564.6596831515281.132.7414.9323.028.0235.05.8511.84411<NA>114642
23220000PHMB12006322003304210000220061207<NA>3폐업3폐업20140306<NA><NA><NA><NA><NA>135833서울특별시 강남구 논현2동 277번지 27호서울특별시 강남구 봉은사로 303 (논현동)<NA>아이통곡산후조리원2014-03-05 16:19:26I2018-08-31 23:59:59.0<NA>203479.293032445256.3134751212108.028.0<NA><NA><NA><NA><NA><NA>35<NA>21<NA>0<NA><NA>
33220000PHMB12006322003304210000320061207<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3412-0101<NA><NA>서울특별시 강남구 개포동 1239번지 17호 문화빌딩 5,6층서울특별시 강남구 논현로 98, 문화빌딩 5,6층 (개포동)6303한아름산후조리원2022-09-28 08:47:10U2021-12-08 21:00:00.0<NA>203889.694313441832.71697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000PHMB1200732200330421000012007-04-16<NA>1영업/정상13영업중<NA>2017-05-292017-06-30<NA>02-546-3493<NA><NA>서울특별시 강남구 신사동 616번지 3호 1~5층서울특별시 강남구 압구정로38길 6, 1~5층 (신사동)6023호산산후조리원2024-01-08 16:15:27U2023-11-30 23:00:00.0<NA>202786.815886447346.125592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000PHMB12007322003304210000220071112<NA>3폐업3폐업20131128<NA><NA><NA><NA><NA>135894서울특별시 강남구 신사동 617번지 5호서울특별시 강남구 언주로 871 (신사동)<NA>호산여성병원산후조리원2013-11-28 16:51:11I2018-08-31 23:59:59.0<NA>202879.096033447368.0001477148.0<NA><NA><NA><NA><NA><NA><NA>35<NA><NA><NA><NA>88<NA>
63220000PHMB1200732200330421000042007-03-06<NA>2휴업2휴업<NA>2024-01-012024-12-31<NA><NA><NA><NA>서울특별시 강남구 역삼동 650번지 9호 강남차병원 3층서울특별시 강남구 논현로 566, 강남차병원 3층 (역삼동)6135차병원 산후조리원2024-01-03 10:24:15U2023-12-01 00:05:00.0<NA>202979.308817444965.788566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000PHMB12008322003304210000120080228<NA>3폐업3폐업20130731<NA><NA><NA>558-7769<NA>135842서울특별시 강남구 대치2동 984번지 로얄빌딩 3층서울특별시 강남구 도곡로99길 16 (대치동,로얄빌딩 3층)<NA>르베르쏘 산후조리원2014-05-19 16:37:48I2018-08-31 23:59:59.0<NA>205766.531434444407.2205351616258.035.17<NA>33.2314.3<NA>41.66<NA>43<NA>22<NA>3<NA><NA>
83220000PHMB12008322003304210000220080604<NA>3폐업3폐업20110715<NA><NA><NA>02-2057-6432<NA>135515서울특별시 강남구 역삼2동 785번지 12호서울특별시 강남구 언주로 303 (역삼동)<NA>드 라마 산후조리원2017-03-06 11:14:00I2018-08-31 23:59:59.0<NA>204004.328388443597.9800511515302.0915.612.044.711.514.968.010.4190212<NA><NA><NA><NA>
93220000PHMB12008322003304210000320080227<NA>3폐업3폐업202104302019110120191128<NA>02-554-6600<NA><NA>서울특별시 강남구 역삼동 837번지 26호 삼일프라자오피스텔 3층 302호서울특별시 강남구 도곡로1길 14, 삼일프라자오피스텔 3층 302호 (역삼동)6253앙즐레 산후조리원2021-04-30 11:22:06U2021-05-02 02:40:00.0<NA>202803.137561443189.8234831515327.929.88.614.08.2931.9234.98<NA>43112<NA>666
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)임산부정원수영유아정원수임산부실면적영유아실면적모유수유실면적급식시설면적세탁실면적목욕실면적조리원화장실면적사무실면적간호사수간호조무사수영양사수취사부수미화원수기타인원수건물층수지상층수지하층수
193220000PHMB12014322003304210000220140401<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3453-4628<NA><NA>서울특별시 강남구 역삼동 785번지 12호 3~5층서울특별시 강남구 언주로 303, 3~5층 (역삼동)6230(주)그녀의 정원 드라마2019-11-12 17:58:36U2019-11-14 02:40:00.0<NA>204004.328388443597.9800512222302.0926.2212.056.20.0<NA>9.710.4118015361082
203220000PHMB12014322003304210000320140618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-577-8677<NA><NA>서울특별시 강남구 도곡동 941번지 8호 1~7층서울특별시 강남구 도곡로6길 13, 1~7층 (도곡동)6259주식회사 도곡 궁 산후조리원2019-09-11 10:50:35U2019-09-13 02:40:00.0<NA>202983.070885443022.2053781818444.954.780.028.382.00.0108.126.4512<NA>237770
213220000PHMB1201432200330421000042014-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 21 한섬빌딩서울특별시 강남구 삼성로 635, 한섬빌딩 (삼성동)6091(주)헤리티지산후조리원2024-01-26 11:17:22U2023-11-30 22:08:00.0<NA>204436.97085446036.981493<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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243220000PHMB12016322003304210000320160901<NA>1영업/정상13영업중<NA><NA><NA><NA>02-512-0500<NA><NA>서울특별시 강남구 신사동 638번지 1호 윤호병원 5~6층서울특별시 강남구 압구정로 304, 윤호병원 5~6층 (신사동)6017윤호 산후조리원2019-09-11 11:03:52U2019-09-13 02:40:00.0<NA>202969.639103447402.2994611313249.4426.690.00.00.06.158.5412.95481326972
253220000PHMB12016322003304210000420161117<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3471-2233<NA><NA>서울특별시 강남구 청담동 70번지 4호 지하1층, 1~7층서울특별시 강남구 학동로97길 21-3, 지하1층, 1~7층 (청담동)6072청담마리더블레스 산후조리원2019-09-11 11:06:58U2019-09-13 02:40:00.0<NA>204785.437108446530.4444022121733.475.80.051.525.40.036.637.3525<NA>548761
263220000PHMB1201832200330421000012018-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02)517-2433<NA><NA>서울특별시 강남구 청담동 55번지 19호 헤리티지산후조리원2호점서울특별시 강남구 영동대로141길 20, 헤리티지산후조리원2호점 (청담동)6071헤리티지 산후조리원 2호점2024-01-26 11:16:51U2023-11-30 22:08:00.0<NA>204624.996017446759.427175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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283220000PHMB1202332200330421000012023-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>6100<NA>서울특별시 강남구 선릉로 629 (논현동)6100아니다산후조리원2023-11-05 07:00:52U2022-11-01 00:07:00.0<NA>203691.216575445630.943075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>