Overview

Dataset statistics

Number of variables24
Number of observations21
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory199.3 B

Variable types

Categorical13
Text10
Numeric1

Alerts

1일 평균 입원 영유아(명) has 1 (4.8%) missing valuesMissing
-.2 has unique valuesUnique
시설설비내역.1 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:13:35.640443
Analysis finished2024-03-14 03:13:35.975120
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

-
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
전주시
10 
군산시보건소
6 
정읍시
2 
김제시
2 
시군구(보건소)
 
1

Length

Max length8
Median length3
Mean length4.0952381
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row시군구(보건소)
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 10
47.6%
군산시보건소 6
28.6%
정읍시 2
 
9.5%
김제시 2
 
9.5%
시군구(보건소) 1
 
4.8%

Length

2024-03-14T12:13:36.026708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:36.112784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 10
47.6%
군산시보건소 6
28.6%
정읍시 2
 
9.5%
김제시 2
 
9.5%
시군구(보건소 1
 
4.8%

-.1
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:36.256884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.7619048
Min length2

Characters and Unicode

Total characters163
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row산후조리원명
2nd row한별산후조리원
3rd row한나산후조리원
4th row푸른산후조리원
5th row미르피아산후조리원
ValueCountFrequency (%)
미래와여성산후조리원 2
 
9.5%
산후조리원명 1
 
4.8%
한별산후조리원 1
 
4.8%
서울산후조리원 1
 
4.8%
현대산후조리원 1
 
4.8%
영등한방산후조리원 1
 
4.8%
제일맘산후조리원 1
 
4.8%
휴산후조리원 1
 
4.8%
은혜 1
 
4.8%
미래와여성 1
 
4.8%
Other values (10) 10
47.6%
2024-03-14T12:13:36.532692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 21
12.9%
조 20
12.3%
산 19
11.7%
후 19
11.7%
리 19
11.7%
한 5
 
3.1%
미 4
 
2.5%
성 4
 
2.5%
래 4
 
2.5%
와 3
 
1.8%
Other values (37) 45
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 21
12.9%
조 20
12.3%
산 19
11.7%
후 19
11.7%
리 19
11.7%
한 5
 
3.1%
미 4
 
2.5%
성 4
 
2.5%
래 4
 
2.5%
와 3
 
1.8%
Other values (37) 45
27.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 21
12.9%
조 20
12.3%
산 19
11.7%
후 19
11.7%
리 19
11.7%
한 5
 
3.1%
미 4
 
2.5%
성 4
 
2.5%
래 4
 
2.5%
와 3
 
1.8%
Other values (37) 45
27.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 21
12.9%
조 20
12.3%
산 19
11.7%
후 19
11.7%
리 19
11.7%
한 5
 
3.1%
미 4
 
2.5%
성 4
 
2.5%
래 4
 
2.5%
와 3
 
1.8%
Other values (37) 45
27.6%

-.2
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:36.707581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length17.761905
Min length2

Characters and Unicode

Total characters373
Distinct characters73
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

Unique21 ?
Unique (%)100.0%

Sample

1st row주소
2nd row전주시 덕진구 서가재미2길 7 (인후동1가)
3rd row전주시 덕진구 기린대로 489 (덕진동1가)
4th row전주시 덕진구 가재미로 7 (인후동1가)
5th row전주시 완산구 쑥고개로 343 (효자동2가)
ValueCountFrequency (%)
전주시 10
 
12.5%
덕진구 6
 
7.5%
익산시 4
 
5.0%
완산구 4
 
5.0%
동서로 2
 
2.5%
효자동2가 2
 
2.5%
정읍시 2
 
2.5%
군산시 2
 
2.5%
김제시 2
 
2.5%
요촌동 2
 
2.5%
Other values (42) 44
55.0%
2024-03-14T12:13:36.995219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
18.8%
시 20
 
5.4%
동 16
 
4.3%
산 15
 
4.0%
로 14
 
3.8%
가 13
 
3.5%
1 13
 
3.5%
4 11
 
2.9%
주 11
 
2.9%
구 10
 
2.7%
Other values (63) 180
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
54.2%
Decimal Number 74
 
19.8%
Space Separator 70
 
18.8%
Open Punctuation 10
 
2.7%
Close Punctuation 10
 
2.7%
Dash Punctuation 5
 
1.3%
Math Symbol 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 20
 
9.9%
동 16
 
7.9%
산 15
 
7.4%
로 14
 
6.9%
가 13
 
6.4%
주 11
 
5.4%
구 10
 
5.0%
전 10
 
5.0%
덕 8
 
4.0%
진 8
 
4.0%
Other values (47) 77
38.1%
Decimal Number
ValueCountFrequency (%)
1 13
17.6%
4 11
14.9%
2 10
13.5%
5 8
10.8%
3 8
10.8%
8 6
8.1%
9 5
 
6.8%
6 5
 
6.8%
7 5
 
6.8%
0 3
 
4.1%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
54.2%
Common 171
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 20
 
9.9%
동 16
 
7.9%
산 15
 
7.4%
로 14
 
6.9%
가 13
 
6.4%
주 11
 
5.4%
구 10
 
5.0%
전 10
 
5.0%
덕 8
 
4.0%
진 8
 
4.0%
Other values (47) 77
38.1%
Common
ValueCountFrequency (%)
70
40.9%
1 13
 
7.6%
4 11
 
6.4%
2 10
 
5.8%
( 10
 
5.8%
) 10
 
5.8%
5 8
 
4.7%
3 8
 
4.7%
8 6
 
3.5%
9 5
 
2.9%
Other values (6) 20
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
54.2%
ASCII 171
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
40.9%
1 13
 
7.6%
4 11
 
6.4%
2 10
 
5.8%
( 10
 
5.8%
) 10
 
5.8%
5 8
 
4.7%
3 8
 
4.7%
8 6
 
3.5%
9 5
 
2.9%
Other values (6) 20
 
11.7%
Hangul
ValueCountFrequency (%)
시 20
 
9.9%
동 16
 
7.9%
산 15
 
7.4%
로 14
 
6.9%
가 13
 
6.4%
주 11
 
5.4%
구 10
 
5.0%
전 10
 
5.0%
덕 8
 
4.0%
진 8
 
4.0%
Other values (47) 77
38.1%

정원(명)
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:37.161196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.6666667
Min length1

Characters and Unicode

Total characters35
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row임산부
2nd row18
3rd row35
4th row8
5th row13
ValueCountFrequency (%)
14 3
14.3%
7 3
14.3%
8 2
9.5%
13 2
9.5%
21 2
9.5%
5 2
9.5%
임산부 1
 
4.8%
18 1
 
4.8%
35 1
 
4.8%
24 1
 
4.8%
Other values (3) 3
14.3%
2024-03-14T12:13:37.474419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11
31.4%
4 4
 
11.4%
3 4
 
11.4%
2 4
 
11.4%
7 3
 
8.6%
8 3
 
8.6%
5 3
 
8.6%
임 1
 
2.9%
산 1
 
2.9%
부 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
91.4%
Other Letter 3
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
34.4%
4 4
 
12.5%
3 4
 
12.5%
2 4
 
12.5%
7 3
 
9.4%
8 3
 
9.4%
5 3
 
9.4%
Other Letter
ValueCountFrequency (%)
임 1
33.3%
산 1
33.3%
부 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 32
91.4%
Hangul 3
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11
34.4%
4 4
 
12.5%
3 4
 
12.5%
2 4
 
12.5%
7 3
 
9.4%
8 3
 
9.4%
5 3
 
9.4%
Hangul
ValueCountFrequency (%)
임 1
33.3%
산 1
33.3%
부 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
91.4%
Hangul 3
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11
34.4%
4 4
 
12.5%
3 4
 
12.5%
2 4
 
12.5%
7 3
 
9.4%
8 3
 
9.4%
5 3
 
9.4%
Hangul
ValueCountFrequency (%)
임 1
33.3%
산 1
33.3%
부 1
33.3%

정원(명).1
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:37.595217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.6666667
Min length1

Characters and Unicode

Total characters35
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row영유아
2nd row25
3rd row35
4th row8
5th row13
ValueCountFrequency (%)
14 3
14.3%
7 3
14.3%
8 2
9.5%
13 2
9.5%
21 2
9.5%
5 2
9.5%
영유아 1
 
4.8%
25 1
 
4.8%
35 1
 
4.8%
24 1
 
4.8%
Other values (3) 3
14.3%
2024-03-14T12:13:37.846103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
28.6%
2 5
14.3%
4 4
 
11.4%
3 4
 
11.4%
5 4
 
11.4%
7 3
 
8.6%
8 2
 
5.7%
영 1
 
2.9%
유 1
 
2.9%
아 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
91.4%
Other Letter 3
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
31.2%
2 5
15.6%
4 4
 
12.5%
3 4
 
12.5%
5 4
 
12.5%
7 3
 
9.4%
8 2
 
6.2%
Other Letter
ValueCountFrequency (%)
영 1
33.3%
유 1
33.3%
아 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 32
91.4%
Hangul 3
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
31.2%
2 5
15.6%
4 4
 
12.5%
3 4
 
12.5%
5 4
 
12.5%
7 3
 
9.4%
8 2
 
6.2%
Hangul
ValueCountFrequency (%)
영 1
33.3%
유 1
33.3%
아 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
91.4%
Hangul 3
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
31.2%
2 5
15.6%
4 4
 
12.5%
3 4
 
12.5%
5 4
 
12.5%
7 3
 
9.4%
8 2
 
6.2%
Hangul
ValueCountFrequency (%)
영 1
33.3%
유 1
33.3%
아 1
33.3%

1일 평균 입원 영유아(명)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean9.19
Minimum1.6
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-14T12:13:38.189690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile1.98
Q13.75
median7
Q313
95-th percentile20.45
Maximum29
Range27.4
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.3869658
Coefficient of variation (CV)0.80380476
Kurtosis1.1665682
Mean9.19
Median Absolute Deviation (MAD)4
Skewness1.2159164
Sum183.8
Variance54.567263
MonotonicityNot monotonic
2024-03-14T12:13:38.265489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10.0 2
9.5%
3.0 2
9.5%
13.0 2
9.5%
5.0 2
9.5%
9.0 2
9.5%
18.0 2
9.5%
2.0 2
9.5%
29.0 1
 
4.8%
20.0 1
 
4.8%
4.5 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
1.6 1
4.8%
2.0 2
9.5%
3.0 2
9.5%
4.0 1
4.8%
4.5 1
4.8%
4.7 1
4.8%
5.0 2
9.5%
9.0 2
9.5%
10.0 2
9.5%
13.0 2
9.5%
ValueCountFrequency (%)
29.0 1
4.8%
20.0 1
4.8%
18.0 2
9.5%
13.0 2
9.5%
10.0 2
9.5%
9.0 2
9.5%
5.0 2
9.5%
4.7 1
4.8%
4.5 1
4.8%
4.0 1
4.8%

산후조리업자
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
-
4 
일반인
2 
개인(명)
 
1
5
 
1
Other values (2)
2 

Length

Max length5
Median length1
Mean length1.3809524
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row개인(명)
2nd row1
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 11
52.4%
- 4
 
19.0%
일반인 2
 
9.5%
개인(명) 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%

Length

2024-03-14T12:13:38.366730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:38.489064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
4
 
19.0%
일반인 2
 
9.5%
개인(명 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%
3 1
 
4.8%

산후조리업자.1
Categorical

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
의사
6 
일반인
4 
-
4 
간호사
2 
개인(자격/면허)
1 
Other values (4)
4 

Length

Max length9
Median length5
Mean length2.8095238
Min length1

Unique

Unique5 ?
Unique (%)23.8%

Sample

1st row개인(자격/면허)
2nd row의사
3rd row의사
4th row의사
5th row간호조무사

Common Values

ValueCountFrequency (%)
의사 6
28.6%
일반인 4
19.0%
- 4
19.0%
간호사 2
 
9.5%
개인(자격/면허) 1
 
4.8%
간호조무사 1
 
4.8%
한의사 1
 
4.8%
조무사 1
 
4.8%
일 반 1
 
4.8%

Length

2024-03-14T12:13:38.595122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:38.696465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의사 6
27.3%
일반인 4
18.2%
4
18.2%
간호사 2
 
9.1%
개인(자격/면허 1
 
4.5%
간호조무사 1
 
4.5%
한의사 1
 
4.5%
조무사 1
 
4.5%
일 1
 
4.5%
반 1
 
4.5%

산후조리업자.2
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
-
16 
기타법인
3 
법인
 
1
개인
 
1

Length

Max length4
Median length1
Mean length1.5238095
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row법인
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 16
76.2%
기타법인 3
 
14.3%
법인 1
 
4.8%
개인 1
 
4.8%

Length

2024-03-14T12:13:38.826945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:38.914774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16
76.2%
기타법인 3
 
14.3%
법인 1
 
4.8%
개인 1
 
4.8%

종사자(명)
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2
12 
3
5 
5
2 
간호사
 
1
4
 
1

Length

Max length3
Median length1
Mean length1.0952381
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row간호사
2nd row2
3rd row5
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 12
57.1%
3 5
23.8%
5 2
 
9.5%
간호사 1
 
4.8%
4 1
 
4.8%

Length

2024-03-14T12:13:39.012729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:39.103834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
57.1%
3 5
23.8%
5 2
 
9.5%
간호사 1
 
4.8%
4 1
 
4.8%

종사자(명).1
Text

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:39.205356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length1
Mean length1.3809524
Min length1

Characters and Unicode

Total characters29
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)23.8%

Sample

1st row간호조무사
2nd row8
3rd row14
4th row10
5th row8
ValueCountFrequency (%)
8 4
19.0%
6 3
14.3%
4 3
14.3%
14 2
9.5%
5 2
9.5%
2 2
9.5%
간호조무사 1
 
4.8%
10 1
 
4.8%
15 1
 
4.8%
3 1
 
4.8%
2024-03-14T12:13:39.524215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5
17.2%
8 4
13.8%
1 4
13.8%
6 3
10.3%
5 3
10.3%
2 2
 
6.9%
간 1
 
3.4%
호 1
 
3.4%
조 1
 
3.4%
무 1
 
3.4%
Other values (4) 4
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
82.8%
Other Letter 5
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
20.8%
8 4
16.7%
1 4
16.7%
6 3
12.5%
5 3
12.5%
2 2
 
8.3%
0 1
 
4.2%
3 1
 
4.2%
7 1
 
4.2%
Other Letter
ValueCountFrequency (%)
간 1
20.0%
호 1
20.0%
조 1
20.0%
무 1
20.0%
사 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
82.8%
Hangul 5
 
17.2%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5
20.8%
8 4
16.7%
1 4
16.7%
6 3
12.5%
5 3
12.5%
2 2
 
8.3%
0 1
 
4.2%
3 1
 
4.2%
7 1
 
4.2%
Hangul
ValueCountFrequency (%)
간 1
20.0%
호 1
20.0%
조 1
20.0%
무 1
20.0%
사 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
82.8%
Hangul 5
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5
20.8%
8 4
16.7%
1 4
16.7%
6 3
12.5%
5 3
12.5%
2 2
 
8.3%
0 1
 
4.2%
3 1
 
4.2%
7 1
 
4.2%
Hangul
ValueCountFrequency (%)
간 1
20.0%
호 1
20.0%
조 1
20.0%
무 1
20.0%
사 1
20.0%

종사자(명).2
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
-
12 
0
6 
영양사
 
1
2
 
1
1
 
1

Length

Max length3
Median length1
Mean length1.0952381
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row영양사
2nd row0
3rd row2
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 12
57.1%
0 6
28.6%
영양사 1
 
4.8%
2 1
 
4.8%
1 1
 
4.8%

Length

2024-03-14T12:13:39.634371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:39.726312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12
57.1%
0 6
28.6%
영양사 1
 
4.8%
2 1
 
4.8%
1 1
 
4.8%

종사자(명).3
Categorical

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
5 
0
3 
2
3 
5
3 
-
2 
Other values (5)
5 

Length

Max length2
Median length1
Mean length1.047619
Min length1

Unique

Unique5 ?
Unique (%)23.8%

Sample

1st row기타
2nd row0
3rd row2
4th row6
5th row1

Common Values

ValueCountFrequency (%)
1 5
23.8%
0 3
14.3%
2 3
14.3%
5 3
14.3%
- 2
 
9.5%
기타 1
 
4.8%
6 1
 
4.8%
7 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%

Length

2024-03-14T12:13:39.814355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:39.912930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5
23.8%
0 3
14.3%
2 3
14.3%
5 3
14.3%
2
 
9.5%
기타 1
 
4.8%
6 1
 
4.8%
7 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%

시설설비내역
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:40.048488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length1.8571429
Min length1

Characters and Unicode

Total characters39
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)28.6%

Sample

1st row임산부실(개)
2nd row18
3rd row35
4th row8
5th row13
ValueCountFrequency (%)
7 3
14.3%
8 2
9.5%
13 2
9.5%
14 2
9.5%
21 2
9.5%
11 2
9.5%
5 2
9.5%
임산부실(개 1
 
4.8%
18 1
 
4.8%
35 1
 
4.8%
Other values (3) 3
14.3%
2024-03-14T12:13:40.284135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
30.8%
3 4
 
10.3%
2 4
 
10.3%
7 3
 
7.7%
8 3
 
7.7%
4 3
 
7.7%
5 3
 
7.7%
임 1
 
2.6%
산 1
 
2.6%
부 1
 
2.6%
Other values (4) 4
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
82.1%
Other Letter 5
 
12.8%
Open Punctuation 1
 
2.6%
Close Punctuation 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
37.5%
3 4
 
12.5%
2 4
 
12.5%
7 3
 
9.4%
8 3
 
9.4%
4 3
 
9.4%
5 3
 
9.4%
Other Letter
ValueCountFrequency (%)
임 1
20.0%
산 1
20.0%
부 1
20.0%
실 1
20.0%
개 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34
87.2%
Hangul 5
 
12.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12
35.3%
3 4
 
11.8%
2 4
 
11.8%
7 3
 
8.8%
8 3
 
8.8%
4 3
 
8.8%
5 3
 
8.8%
( 1
 
2.9%
) 1
 
2.9%
Hangul
ValueCountFrequency (%)
임 1
20.0%
산 1
20.0%
부 1
20.0%
실 1
20.0%
개 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
87.2%
Hangul 5
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
35.3%
3 4
 
11.8%
2 4
 
11.8%
7 3
 
8.8%
8 3
 
8.8%
4 3
 
8.8%
5 3
 
8.8%
( 1
 
2.9%
) 1
 
2.9%
Hangul
ValueCountFrequency (%)
임 1
20.0%
산 1
20.0%
부 1
20.0%
실 1
20.0%
개 1
20.0%

시설설비내역.1
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:40.450080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length3.7619048
Min length1

Characters and Unicode

Total characters79
Distinct characters18
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

Unique21 ?
Unique (%)100.0%

Sample

1st row신생아실(m2)
2nd row69.67
3rd row61.15
4th row29.24
5th row65.19
ValueCountFrequency (%)
신생아실(m2 1
 
4.8%
27 1
 
4.8%
17 1
 
4.8%
22.54 1
 
4.8%
9 1
 
4.8%
27.4 1
 
4.8%
10.2 1
 
4.8%
21.48 1
 
4.8%
19.11 1
 
4.8%
35 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T12:13:40.735564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 12
15.2%
2 12
15.2%
1 11
13.9%
5 9
11.4%
6 7
8.9%
9 6
7.6%
4 6
7.6%
7 4
 
5.1%
3 2
 
2.5%
0 2
 
2.5%
Other values (8) 8
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
75.9%
Other Punctuation 12
 
15.2%
Other Letter 4
 
5.1%
Close Punctuation 1
 
1.3%
Lowercase Letter 1
 
1.3%
Open Punctuation 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12
20.0%
1 11
18.3%
5 9
15.0%
6 7
11.7%
9 6
10.0%
4 6
10.0%
7 4
 
6.7%
3 2
 
3.3%
0 2
 
3.3%
8 1
 
1.7%
Other Letter
ValueCountFrequency (%)
생 1
25.0%
실 1
25.0%
아 1
25.0%
신 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74
93.7%
Hangul 4
 
5.1%
Latin 1
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 12
16.2%
2 12
16.2%
1 11
14.9%
5 9
12.2%
6 7
9.5%
9 6
8.1%
4 6
8.1%
7 4
 
5.4%
3 2
 
2.7%
0 2
 
2.7%
Other values (3) 3
 
4.1%
Hangul
ValueCountFrequency (%)
생 1
25.0%
실 1
25.0%
아 1
25.0%
신 1
25.0%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
94.9%
Hangul 4
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 12
16.0%
2 12
16.0%
1 11
14.7%
5 9
12.0%
6 7
9.3%
9 6
8.0%
4 6
8.0%
7 4
 
5.3%
3 2
 
2.7%
0 2
 
2.7%
Other values (4) 4
 
5.3%
Hangul
ValueCountFrequency (%)
생 1
25.0%
실 1
25.0%
아 1
25.0%
신 1
25.0%

시설설비내역.2
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
○
13 
1
2 
0
2 
○
2 
모유수유실
 
1

Length

Max length5
Median length2
Mean length1.8095238
Min length1

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row모유수유실
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 13
61.9%
1 2
 
9.5%
0 2
 
9.5%
○ 2
 
9.5%
모유수유실 1
 
4.8%
× 1
 
4.8%

Length

2024-03-14T12:13:40.842086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:40.936829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 15
71.4%
1 2
 
9.5%
0 2
 
9.5%
모유수유실 1
 
4.8%
× 1
 
4.8%

시설설비내역.3
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
○
13 
×
3 
1
2 
x
2 
격리실
 
1

Length

Max length3
Median length2
Mean length1.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row격리실
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 13
61.9%
× 3
 
14.3%
1 2
 
9.5%
x 2
 
9.5%
격리실 1
 
4.8%

Length

2024-03-14T12:13:41.054716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:41.157290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 13
61.9%
× 3
 
14.3%
1 2
 
9.5%
x 2
 
9.5%
격리실 1
 
4.8%

시설설비내역.4
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
위탁
12 
직영
7 
급식시설
 
1
직영
 
1

Length

Max length4
Median length2
Mean length2.1428571
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row급식시설
2nd row위탁
3rd row위탁
4th row위탁
5th row위탁

Common Values

ValueCountFrequency (%)
위탁 12
57.1%
직영 7
33.3%
급식시설 1
 
4.8%
직영 1
 
4.8%

Length

2024-03-14T12:13:41.260092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:41.353753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 12
57.1%
직영 8
38.1%
급식시설 1
 
4.8%

시설설비내역.5
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
위탁
13 
설치
5 
직영
2 
세탁실
 
1

Length

Max length3
Median length2
Mean length2.047619
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row세탁실
2nd row위탁
3rd row설치
4th row위탁
5th row위탁

Common Values

ValueCountFrequency (%)
위탁 13
61.9%
설치 5
 
23.8%
직영 2
 
9.5%
세탁실 1
 
4.8%

Length

2024-03-14T12:13:41.453059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:41.622893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 13
61.9%
설치 5
 
23.8%
직영 2
 
9.5%
세탁실 1
 
4.8%

이용요금
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:41.761530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.7619048
Min length1

Characters and Unicode

Total characters58
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row일반실
2nd row110
3rd row140
4th row120
5th row140
ValueCountFrequency (%)
140 4
19.0%
120 3
14.3%
170 3
14.3%
200 2
9.5%
52 2
9.5%
일반실 1
 
4.8%
110 1
 
4.8%
130 1
 
4.8%
270 1
 
4.8%
212 1
 
4.8%
Other values (2) 2
9.5%
2024-03-14T12:13:41.991699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
32.8%
1 14
24.1%
2 10
17.2%
7 5
 
8.6%
4 4
 
6.9%
5 2
 
3.4%
일 1
 
1.7%
반 1
 
1.7%
실 1
 
1.7%
3 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55
94.8%
Other Letter 3
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
34.5%
1 14
25.5%
2 10
18.2%
7 5
 
9.1%
4 4
 
7.3%
5 2
 
3.6%
3 1
 
1.8%
Other Letter
ValueCountFrequency (%)
일 1
33.3%
반 1
33.3%
실 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 55
94.8%
Hangul 3
 
5.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
34.5%
1 14
25.5%
2 10
18.2%
7 5
 
9.1%
4 4
 
7.3%
5 2
 
3.6%
3 1
 
1.8%
Hangul
ValueCountFrequency (%)
일 1
33.3%
반 1
33.3%
실 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55
94.8%
Hangul 3
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
34.5%
1 14
25.5%
2 10
18.2%
7 5
 
9.1%
4 4
 
7.3%
5 2
 
3.6%
3 1
 
1.8%
Hangul
ValueCountFrequency (%)
일 1
33.3%
반 1
33.3%
실 1
33.3%

이용요금.1
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:42.145389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.1904762
Min length1

Characters and Unicode

Total characters46
Distinct characters13
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)38.1%

Sample

1st row특실
2nd row180
3rd rowX
4th rowX
5th row160
ValueCountFrequency (%)
× 4
19.0%
180 3
14.3%
x 3
14.3%
160 3
14.3%
특실 1
 
4.8%
134 1
 
4.8%
250 1
 
4.8%
310 1
 
4.8%
128 1
 
4.8%
255 1
 
4.8%
Other values (2) 2
9.5%
2024-03-14T12:13:42.392288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9
19.6%
0 8
17.4%
5 5
10.9%
× 4
8.7%
8 4
8.7%
6 4
8.7%
X 3
 
6.5%
2 3
 
6.5%
3 2
 
4.3%
특 1
 
2.2%
Other values (3) 3
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
80.4%
Math Symbol 4
 
8.7%
Uppercase Letter 3
 
6.5%
Other Letter 2
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
24.3%
0 8
21.6%
5 5
13.5%
8 4
10.8%
6 4
10.8%
2 3
 
8.1%
3 2
 
5.4%
4 1
 
2.7%
7 1
 
2.7%
Other Letter
ValueCountFrequency (%)
특 1
50.0%
실 1
50.0%
Math Symbol
ValueCountFrequency (%)
× 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
89.1%
Latin 3
 
6.5%
Hangul 2
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9
22.0%
0 8
19.5%
5 5
12.2%
× 4
9.8%
8 4
9.8%
6 4
9.8%
2 3
 
7.3%
3 2
 
4.9%
4 1
 
2.4%
7 1
 
2.4%
Hangul
ValueCountFrequency (%)
특 1
50.0%
실 1
50.0%
Latin
ValueCountFrequency (%)
X 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40
87.0%
None 4
 
8.7%
Hangul 2
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9
22.5%
0 8
20.0%
5 5
12.5%
8 4
10.0%
6 4
10.0%
X 3
 
7.5%
2 3
 
7.5%
3 2
 
5.0%
4 1
 
2.5%
7 1
 
2.5%
None
ValueCountFrequency (%)
× 4
100.0%
Hangul
ValueCountFrequency (%)
특 1
50.0%
실 1
50.0%

동일건물에 의료기관 소재여부
Categorical

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
○
16 
○
2 
여부
 
1
X
 
1
×
 
1

Length

Max length2
Median length2
Mean length1.8095238
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row여부
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 16
76.2%
○ 2
 
9.5%
여부 1
 
4.8%
X 1
 
4.8%
× 1
 
4.8%

Length

2024-03-14T12:13:42.517077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:42.614956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 18
85.7%
여부 1
 
4.8%
x 1
 
4.8%
× 1
 
4.8%

동일건물에 의료기관 소재여부.1
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
의원
11 
의원급
4 
병원
2 
종별구분
 
1
한방병원
 
1
Other values (2)
2 

Length

Max length4
Median length2
Mean length2.3809524
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row종별구분
2nd row의원
3rd row병원
4th row의원
5th row병원

Common Values

ValueCountFrequency (%)
의원 11
52.4%
의원급 4
 
19.0%
병원 2
 
9.5%
종별구분 1
 
4.8%
한방병원 1
 
4.8%
병원급 1
 
4.8%
× 1
 
4.8%

Length

2024-03-14T12:13:42.741072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:42.845724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 11
52.4%
의원급 4
 
19.0%
병원 2
 
9.5%
종별구분 1
 
4.8%
한방병원 1
 
4.8%
병원급 1
 
4.8%
× 1
 
4.8%

비고
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T12:13:43.020874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length28.380952
Min length1

Characters and Unicode

Total characters596
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)76.2%

Sample

1st row-
2nd row산부인과의원에 급식시설 공동이용, 세탁물위탁업체 백조사
3rd row산부인과의원에 급식시설 공동이용,세탁물자체세탁
4th row산부인과의원에 급식시설 공동이용,세탁물위탁업체 백조사
5th row산부인과병원에 급식시설 공동이용,세탁물위탁업체 윤창산업 (간단한건 자체세탁)
ValueCountFrequency (%)
급식시설 9
 
8.7%
산부인과의원과 7
 
6.7%
공동이용 7
 
6.7%
급식시설은 6
 
5.8%
산부인과의원에 6
 
5.8%
및 4
 
3.8%
공동 3
 
2.9%
공동이용,세탁물 3
 
2.9%
위탁업체 3
 
2.9%
자체세탁 3
 
2.9%
Other values (34) 53
51.0%
2024-03-14T12:13:43.312303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
14.6%
탁 35
 
5.9%
과 26
 
4.4%
세 22
 
3.7%
산 20
 
3.4%
동 20
 
3.4%
급 19
 
3.2%
식 19
 
3.2%
원 17
 
2.9%
업 17
 
2.9%
Other values (57) 314
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
79.9%
Space Separator 87
 
14.6%
Other Punctuation 14
 
2.3%
Close Punctuation 9
 
1.5%
Open Punctuation 9
 
1.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탁 35
 
7.4%
과 26
 
5.5%
세 22
 
4.6%
산 20
 
4.2%
동 20
 
4.2%
급 19
 
4.0%
식 19
 
4.0%
원 17
 
3.6%
업 17
 
3.6%
용 16
 
3.4%
Other values (52) 265
55.7%
Space Separator
ValueCountFrequency (%)
87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 476
79.9%
Common 120
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탁 35
 
7.4%
과 26
 
5.5%
세 22
 
4.6%
산 20
 
4.2%
동 20
 
4.2%
급 19
 
4.0%
식 19
 
4.0%
원 17
 
3.6%
업 17
 
3.6%
용 16
 
3.4%
Other values (52) 265
55.7%
Common
ValueCountFrequency (%)
87
72.5%
, 14
 
11.7%
) 9
 
7.5%
( 9
 
7.5%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
79.9%
ASCII 120
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
72.5%
, 14
 
11.7%
) 9
 
7.5%
( 9
 
7.5%
- 1
 
0.8%
Hangul
ValueCountFrequency (%)
탁 35
 
7.4%
과 26
 
5.5%
세 22
 
4.6%
산 20
 
4.2%
동 20
 
4.2%
급 19
 
4.0%
식 19
 
4.0%
원 17
 
3.6%
업 17
 
3.6%
용 16
 
3.4%
Other values (52) 265
55.7%

Sample

--.1-.2정원(명)정원(명).11일 평균 입원 영유아(명)산후조리업자산후조리업자.1산후조리업자.2종사자(명)종사자(명).1종사자(명).2종사자(명).3시설설비내역시설설비내역.1시설설비내역.2시설설비내역.3시설설비내역.4시설설비내역.5이용요금이용요금.1동일건물에 의료기관 소재여부동일건물에 의료기관 소재여부.1비고
0시군구(보건소)산후조리원명주소임산부영유아<NA>개인(명)개인(자격/면허)법인간호사간호조무사영양사기타임산부실(개)신생아실(m2)모유수유실격리실급식시설세탁실일반실특실여부종별구분-
1전주시한별산후조리원전주시 덕진구 서가재미2길 7 (인후동1가)182510.01의사-28001869.67○○위탁위탁110180○의원산부인과의원에 급식시설 공동이용, 세탁물위탁업체 백조사
2전주시한나산후조리원전주시 덕진구 기린대로 489 (덕진동1가)353529.05의사-514223561.15○○위탁설치140X○병원산부인과의원에 급식시설 공동이용,세탁물자체세탁
3전주시푸른산후조리원전주시 덕진구 가재미로 7 (인후동1가)883.01의사-210-6829.24○○위탁위탁120X○의원산부인과의원에 급식시설 공동이용,세탁물위탁업체 백조사
4전주시미르피아산후조리원전주시 완산구 쑥고개로 343 (효자동2가)131313.01간호조무사-28-11365.19○○위탁위탁140160○병원산부인과병원에 급식시설 공동이용,세탁물위탁업체 윤창산업 (간단한건 자체세탁)
5전주시참조은산후조리원전주시 완산구 모악로 4750 (평화동1가)14145.02일반인-26-21425.6○○직영위탁120134○의원급식시설직영운영, 세탁물위탁업체,세탁물 위탁업체 백조사
6전주시세나산후조리원전주시 완산구 소대배기로 16 (평화동2가)141413.0--기타법인38-01439○○위탁위탁140X○의원산부인과의원에 급식시설 공동이용,세탁물 위탁업체 천보산업 (간단한건 자체세탁)
7전주시정성산후조리원전주시 덕진구 도당산4길 8-18 (우아동3가)13139.03의사-26-11341.25○○위탁위탁130160○의원산부인과의원에 급식시설 공동이용,세탁물 위탁업체 명도실업 (간단한건 자체세탁)
8전주시원광대학교전주한방병원산후조리원전주시 덕진구 가련산로 99 (덕진동2가)212118.01한의사-58-52156○○위탁위탁200250○한방병원급식위탁(원미에프앤에스), 세탁물 위탁업체(청송실업)
9전주시나래산후조리원전주시 덕진구 천마산로 55 (송천동2가)773.01간호사-2400725.1○○위탁위탁140180○의원산부인과의원에 급식시설 공동이용,세탁물 위탁업체(백조사, 동강세탁)
--.1-.2정원(명)정원(명).11일 평균 입원 영유아(명)산후조리업자산후조리업자.1산후조리업자.2종사자(명)종사자(명).1종사자(명).2종사자(명).3시설설비내역시설설비내역.1시설설비내역.2시설설비내역.3시설설비내역.4시설설비내역.5이용요금이용요금.1동일건물에 의료기관 소재여부동일건물에 의료기관 소재여부.1비고
11군산시보건소미래와여성군산시 문화로 16412124.5일반인--24-5122711위탁위탁120128○의원급식시설 및 세탁실은 산부인과의원과 공동이용
12군산시보건소은혜군산시 월명로 144212118.0일반인--214-3213511직영직영212255○의원급식시설 및 세탁실은 산부인과의원과 공동이용
13군산시보건소휴산후조리원익산시 무왕로 1018775.01일반인-35-1719.11○×위탁위탁170×○병원급급식시설은 동일 건물에 있는 산부인과병원과 공동 이용, 세탁물 위탁업체(명도실업)
14군산시보건소제일맘산후조리원익산시 동서로 23111119.01일반인-35-11121.48○×위탁위탁170180○의원급급식 및 세탁실은 동일 건물에 있는 산부인과의원과 공동 사용
15군산시보건소미래와여성산후조리원익산시 배산로 66554.01간호사-32-1510.2××위탁위탁170×○의원급급식시설은 동일 건물에 있는 산부인과병원과 공동 이용, 세탁물 위탁업체(백조사)
16군산시보건소영등한방산후조리원익산시 동서로 354141410.01일반인-36-41127.4○○직영설치200×××급식 및 세탁은 직영함
17정읍시현대산후조리원정읍시 연지동338-13331.61의사-220-390x직영위탁70×○의원급급식시설은 산부인과의원과 공동이용
18정읍시서울산후조리원정읍시 상동146-20774.71의사-230-722.540x직영직영0160○의원급급식시설은 산부인과의원과 공동이용
19김제시한사랑산후조리원김제시 요촌동 594-5882.0-조무사개인2402817○○직영설치5265○의원급식시설은 산부인과의원과 공동이용
20김제시미래와여성산후조리원김제시 요촌동 579-2552.0-일 반기타법인2705540○○직영설치5257○의원급식시설은 산부인과의원과 공동이용