Overview

Dataset statistics

Number of variables27
Number of observations6408
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory221.0 B

Variable types

Categorical22
Text4
Numeric1

Dataset

Description노인장기요양기관 전문인력(사회복지사, 의사, 간호사 등) 현황을 시군구별, 전문인력별, 급여종류별로 나타낸 데이터
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3100

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
항목영문명 has constant value ""Constant
수록주기 has constant value ""Constant
항목명 has constant value ""Constant
분류 영문명3 has constant value ""Constant
통계표명 has constant value ""Constant
분류 영문명2 has constant value ""Constant
항목 ID has constant value ""Constant
단위명 has constant value ""Constant
단위영문명 has constant value ""Constant
분류명2 has constant value ""Constant
분류 영문명1 has constant value ""Constant
수록시점 has constant value ""Constant
분류명1 has constant value ""Constant
분류명3 has constant value ""Constant
수집날짜 has constant value ""Constant

Reproduction

Analysis started2024-01-09 22:08:45.850324
Analysis finished2024-01-09 22:08:46.407150
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
DT_35006_N022
6408 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_35006_N022
2nd rowDT_35006_N022
3rd rowDT_35006_N022
4th rowDT_35006_N022
5th rowDT_35006_N022

Common Values

ValueCountFrequency (%)
DT_35006_N022 6408
100.0%

Length

2024-01-10T07:08:46.455370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:46.534206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_35006_n022 6408
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
350
6408 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row350
2nd row350
3rd row350
4th row350
5th row350

Common Values

ValueCountFrequency (%)
350 6408
100.0%

Length

2024-01-10T07:08:46.629650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:46.723279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
350 6408
100.0%

분류값 명3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
계
2136 
재가
2136 
시설
2136 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계
2nd row재가
3rd row시설
4th row계
5th row재가

Common Values

ValueCountFrequency (%)
계 2136
33.3%
재가 2136
33.3%
시설 2136
33.3%

Length

2024-01-10T07:08:46.820557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:46.919048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계 2136
33.3%
재가 2136
33.3%
시설 2136
33.3%

항목영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
Professionals
6408 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Professionals 6408
100.0%

Length

2024-01-10T07:08:47.024040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:47.094754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
professionals 6408
100.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
A
6408 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 6408
100.0%

Length

2024-01-10T07:08:47.166008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:47.238189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 6408
100.0%

항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
시·군·구별 장기요양기관 전문인력 현황
6408 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시·군·구별 장기요양기관 전문인력 현황
2nd row시·군·구별 장기요양기관 전문인력 현황
3rd row시·군·구별 장기요양기관 전문인력 현황
4th row시·군·구별 장기요양기관 전문인력 현황
5th row시·군·구별 장기요양기관 전문인력 현황

Common Values

ValueCountFrequency (%)
시·군·구별 장기요양기관 전문인력 현황 6408
100.0%

Length

2024-01-10T07:08:47.312078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:47.388707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시·군·구별 6408
25.0%
장기요양기관 6408
25.0%
전문인력 6408
25.0%
현황 6408
25.0%

분류값 ID1
Text

Distinct267
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
2024-01-10T07:08:47.532194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length13.58427
Min length3

Characters and Unicode

Total characters87048
Distinct characters27
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

Unique0 ?
Unique (%)0.0%

Sample

1st row15350AC400A1
2nd row15350AC400A1
3rd row15350AC400A1
4th row15350AC400A1
5th row15350AC400A1
ValueCountFrequency (%)
15350ac400a1 24
 
0.4%
15350ac400l115 24
 
0.4%
15350ac400m113 24
 
0.4%
15350ac400l1 24
 
0.4%
15350ac400l103 24
 
0.4%
15350ac400l104 24
 
0.4%
15350ac400l105 24
 
0.4%
15350ac400l106 24
 
0.4%
15350ac400l107 24
 
0.4%
15350ac400l108 24
 
0.4%
Other values (257) 6168
96.3%
2024-01-10T07:08:47.802163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21864
25.1%
1 15144
17.4%
5 13344
15.3%
4 7176
 
8.2%
3 7128
 
8.2%
A 7032
 
8.1%
C 6456
 
7.4%
2 1344
 
1.5%
H 912
 
1.0%
6 648
 
0.7%
Other values (17) 6000
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68160
78.3%
Uppercase Letter 18888
 
21.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 7032
37.2%
C 6456
34.2%
H 912
 
4.8%
N 600
 
3.2%
O 552
 
2.9%
M 552
 
2.9%
I 456
 
2.4%
B 408
 
2.2%
L 384
 
2.0%
J 360
 
1.9%
Other values (7) 1176
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 21864
32.1%
1 15144
22.2%
5 13344
19.6%
4 7176
 
10.5%
3 7128
 
10.5%
2 1344
 
2.0%
6 648
 
1.0%
7 552
 
0.8%
8 528
 
0.8%
9 432
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 68160
78.3%
Latin 18888
 
21.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 7032
37.2%
C 6456
34.2%
H 912
 
4.8%
N 600
 
3.2%
O 552
 
2.9%
M 552
 
2.9%
I 456
 
2.4%
B 408
 
2.2%
L 384
 
2.0%
J 360
 
1.9%
Other values (7) 1176
 
6.2%
Common
ValueCountFrequency (%)
0 21864
32.1%
1 15144
22.2%
5 13344
19.6%
4 7176
 
10.5%
3 7128
 
10.5%
2 1344
 
2.0%
6 648
 
1.0%
7 552
 
0.8%
8 528
 
0.8%
9 432
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21864
25.1%
1 15144
17.4%
5 13344
15.3%
4 7176
 
8.2%
3 7128
 
8.2%
A 7032
 
8.1%
C 6456
 
7.4%
2 1344
 
1.5%
H 912
 
1.0%
6 648
 
0.7%
Other values (17) 6000
 
6.9%

분류값 ID2
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.625
Minimum101
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.4 KiB
2024-01-10T07:08:47.898664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1102.75
median104.5
Q3106.25
95-th percentile109
Maximum109
Range8
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.4970679
Coefficient of variation (CV)0.023866838
Kurtosis-0.97674175
Mean104.625
Median Absolute Deviation (MAD)2
Skewness0.23719424
Sum670437
Variance6.2353481
MonotonicityNot monotonic
2024-01-10T07:08:47.983167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
101 801
12.5%
102 801
12.5%
103 801
12.5%
104 801
12.5%
105 801
12.5%
106 801
12.5%
107 801
12.5%
109 801
12.5%
ValueCountFrequency (%)
101 801
12.5%
102 801
12.5%
103 801
12.5%
104 801
12.5%
105 801
12.5%
106 801
12.5%
107 801
12.5%
109 801
12.5%
ValueCountFrequency (%)
109 801
12.5%
107 801
12.5%
106 801
12.5%
105 801
12.5%
104 801
12.5%
103 801
12.5%
102 801
12.5%
101 801
12.5%

분류 영문명3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
By Type of Benefits
6408 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy Type of Benefits
2nd rowBy Type of Benefits
3rd rowBy Type of Benefits
4th rowBy Type of Benefits
5th rowBy Type of Benefits

Common Values

ValueCountFrequency (%)
By Type of Benefits 6408
100.0%

Length

2024-01-10T07:08:48.075677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:48.144000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 6408
25.0%
type 6408
25.0%
of 6408
25.0%
benefits 6408
25.0%

분류값 ID3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
350060A01
2136 
350060A02
2136 
350060A03
2136 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row350060A01
2nd row350060A02
3rd row350060A03
4th row350060A01
5th row350060A02

Common Values

ValueCountFrequency (%)
350060A01 2136
33.3%
350060A02 2136
33.3%
350060A03 2136
33.3%

Length

2024-01-10T07:08:48.223177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:48.298110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
350060a01 2136
33.3%
350060a02 2136
33.3%
350060a03 2136
33.3%

수치값
Text

Distinct934
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
2024-01-10T07:08:48.537209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length1.772784
Min length1

Characters and Unicode

Total characters11360
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique639 ?
Unique (%)10.0%

Sample

1st row4320
2nd row3739
3rd row583
4th row224
5th row17
ValueCountFrequency (%)
1353
21.1%
1 348
 
5.4%
3 285
 
4.4%
2 272
 
4.2%
4 221
 
3.4%
5 197
 
3.1%
6 169
 
2.6%
7 128
 
2.0%
8 118
 
1.8%
10 114
 
1.8%
Other values (924) 3203
50.0%
2024-01-10T07:08:48.895229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2210
19.5%
2 1492
13.1%
- 1353
11.9%
3 1184
10.4%
4 981
8.6%
5 889
7.8%
6 761
 
6.7%
7 666
 
5.9%
8 660
 
5.8%
9 603
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10007
88.1%
Dash Punctuation 1353
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2210
22.1%
2 1492
14.9%
3 1184
11.8%
4 981
9.8%
5 889
8.9%
6 761
 
7.6%
7 666
 
6.7%
8 660
 
6.6%
9 603
 
6.0%
0 561
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2210
19.5%
2 1492
13.1%
- 1353
11.9%
3 1184
10.4%
4 981
8.6%
5 889
7.8%
6 761
 
6.7%
7 666
 
5.9%
8 660
 
5.8%
9 603
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2210
19.5%
2 1492
13.1%
- 1353
11.9%
3 1184
10.4%
4 981
8.6%
5 889
7.8%
6 761
 
6.7%
7 666
 
5.9%
8 660
 
5.8%
9 603
 
5.3%

분류값 명1
Text

Distinct245
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
2024-01-10T07:08:49.127241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2509363
Min length2

Characters and Unicode

Total characters20832
Distinct characters142
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

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row서울
3rd row서울
4th row서울
5th row서울
ValueCountFrequency (%)
동구 144
 
2.2%
중구 144
 
2.2%
서구 120
 
1.9%
남구 96
 
1.5%
북구 96
 
1.5%
고성군 48
 
0.7%
강서구 48
 
0.7%
장수군 24
 
0.4%
여수시 24
 
0.4%
목포시 24
 
0.4%
Other values (235) 5640
88.0%
2024-01-10T07:08:49.443010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 2568
 
12.3%
시 2376
 
11.4%
군 2040
 
9.8%
주 624
 
3.0%
산 600
 
2.9%
천 576
 
2.8%
양 528
 
2.5%
성 504
 
2.4%
동 480
 
2.3%
원 456
 
2.2%
Other values (132) 10080
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20832
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2568
 
12.3%
시 2376
 
11.4%
군 2040
 
9.8%
주 624
 
3.0%
산 600
 
2.9%
천 576
 
2.8%
양 528
 
2.5%
성 504
 
2.4%
동 480
 
2.3%
원 456
 
2.2%
Other values (132) 10080
48.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20832
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2568
 
12.3%
시 2376
 
11.4%
군 2040
 
9.8%
주 624
 
3.0%
산 600
 
2.9%
천 576
 
2.8%
양 528
 
2.5%
성 504
 
2.4%
동 480
 
2.3%
원 456
 
2.2%
Other values (132) 10080
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20832
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 2568
 
12.3%
시 2376
 
11.4%
군 2040
 
9.8%
주 624
 
3.0%
산 600
 
2.9%
천 576
 
2.8%
양 528
 
2.5%
성 504
 
2.4%
동 480
 
2.3%
원 456
 
2.2%
Other values (132) 10080
48.4%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
시·군·구별 장기요양기관 전문인력 현황
6408 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시·군·구별 장기요양기관 전문인력 현황
2nd row시·군·구별 장기요양기관 전문인력 현황
3rd row시·군·구별 장기요양기관 전문인력 현황
4th row시·군·구별 장기요양기관 전문인력 현황
5th row시·군·구별 장기요양기관 전문인력 현황

Common Values

ValueCountFrequency (%)
시·군·구별 장기요양기관 전문인력 현황 6408
100.0%

Length

2024-01-10T07:08:49.551625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:49.624998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시·군·구별 6408
25.0%
장기요양기관 6408
25.0%
전문인력 6408
25.0%
현황 6408
25.0%

분류 영문명2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
By Professional
6408 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy Professional
2nd rowBy Professional
3rd rowBy Professional
4th rowBy Professional
5th rowBy Professional

Common Values

ValueCountFrequency (%)
By Professional 6408
100.0%

Length

2024-01-10T07:08:49.704611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:49.775985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 6408
50.0%
professional 6408
50.0%

분류값 명2
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
사회복지사
801 
의사(계약의사포함)
801 
간호사
801 
간호조무사
801 
치과위생사
801 
Other values (3)
2403 

Length

Max length10
Median length9.5
Mean length5.625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회복지사
2nd row사회복지사
3rd row사회복지사
4th row의사(계약의사포함)
5th row의사(계약의사포함)

Common Values

ValueCountFrequency (%)
사회복지사 801
12.5%
의사(계약의사포함) 801
12.5%
간호사 801
12.5%
간호조무사 801
12.5%
치과위생사 801
12.5%
물리(작업)치료사 801
12.5%
요양보호사 801
12.5%
영양사 801
12.5%

Length

2024-01-10T07:08:49.859032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:49.955735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지사 801
12.5%
의사(계약의사포함 801
12.5%
간호사 801
12.5%
간호조무사 801
12.5%
치과위생사 801
12.5%
물리(작업)치료사 801
12.5%
요양보호사 801
12.5%
영양사 801
12.5%

항목 ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
1
6408 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6408
100.0%

Length

2024-01-10T07:08:50.057473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.131711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6408
100.0%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
명
6408 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명 6408
100.0%

Length

2024-01-10T07:08:50.204730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.277890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명 6408
100.0%

단위영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
In person
6408 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIn person
2nd rowIn person
3rd rowIn person
4th rowIn person
5th rowIn person

Common Values

ValueCountFrequency (%)
In person 6408
100.0%

Length

2024-01-10T07:08:50.351094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.421075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
in 6408
50.0%
person 6408
50.0%

분류명2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
전문인력별
6408 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전문인력별 6408
100.0%

Length

2024-01-10T07:08:50.496103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.566193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문인력별 6408
100.0%

분류값 영문명3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
Total
2136 
In home
2136 
Facility
2136 

Length

Max length8
Median length7
Mean length6.6666667
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal
2nd rowIn home
3rd rowFacility
4th rowTotal
5th rowIn home

Common Values

ValueCountFrequency (%)
Total 2136
33.3%
In home 2136
33.3%
Facility 2136
33.3%

Length

2024-01-10T07:08:50.641369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.725636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
total 2136
25.0%
in 2136
25.0%
home 2136
25.0%
facility 2136
25.0%

분류 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
By District
6408 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBy District
2nd rowBy District
3rd rowBy District
4th rowBy District
5th rowBy District

Common Values

ValueCountFrequency (%)
By District 6408
100.0%

Length

2024-01-10T07:08:50.815817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:50.887532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by 6408
50.0%
district 6408
50.0%

분류값 영문명2
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
Social welfare worker
801 
Doctor(including part-time)
801 
Nurse
801 
Nurse's aid
801 
Dental hygine provider
801 
Other values (3)
2403 

Length

Max length27
Median length19.5
Mean length15.875
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSocial welfare worker
2nd rowSocial welfare worker
3rd rowSocial welfare worker
4th rowDoctor(including part-time)
5th rowDoctor(including part-time)

Common Values

ValueCountFrequency (%)
Social welfare worker 801
12.5%
Doctor(including part-time) 801
12.5%
Nurse 801
12.5%
Nurse's aid 801
12.5%
Dental hygine provider 801
12.5%
Physical therapist 801
12.5%
Care helper 801
12.5%
Nutritionist 801
12.5%

Length

2024-01-10T07:08:50.963386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:51.050478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
social 801
 
6.2%
welfare 801
 
6.2%
worker 801
 
6.2%
doctor(including 801
 
6.2%
part-time 801
 
6.2%
nurse 801
 
6.2%
nurse's 801
 
6.2%
aid 801
 
6.2%
dental 801
 
6.2%
hygine 801
 
6.2%
Other values (6) 4806
37.5%

수록시점
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
2021
6408 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 6408
100.0%

Length

2024-01-10T07:08:51.154572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:51.223578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 6408
100.0%

분류값 영문명1
Text

Distinct243
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
2024-01-10T07:08:51.431793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.9250936
Min length4

Characters and Unicode

Total characters63600
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSeoul
2nd rowSeoul
3rd rowSeoul
4th rowSeoul
5th rowSeoul
ValueCountFrequency (%)
dong-gu 144
 
2.2%
jung-gu 144
 
2.2%
nam-gu 120
 
1.8%
seo-gu 120
 
1.8%
buk-gu 120
 
1.8%
goyang-si 72
 
1.1%
anyang-si 48
 
0.7%
gangseo-gu 48
 
0.7%
goseong-gun 48
 
0.7%
gwangyang-si 24
 
0.4%
Other values (235) 5640
86.4%
2024-01-10T07:08:51.774996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 9192
14.5%
g 8664
13.6%
u 6624
10.4%
- 6096
9.6%
o 4920
 
7.7%
e 4008
 
6.3%
a 3936
 
6.2%
s 2880
 
4.5%
i 2568
 
4.0%
h 1368
 
2.2%
Other values (31) 13344
21.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50856
80.0%
Uppercase Letter 6528
 
10.3%
Dash Punctuation 6096
 
9.6%
Space Separator 120
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 9192
18.1%
g 8664
17.0%
u 6624
13.0%
o 4920
9.7%
e 4008
7.9%
a 3936
7.7%
s 2880
 
5.7%
i 2568
 
5.0%
h 1368
 
2.7%
y 984
 
1.9%
Other values (11) 5712
11.2%
Uppercase Letter
ValueCountFrequency (%)
G 1320
20.2%
S 864
13.2%
J 624
9.6%
Y 624
9.6%
D 600
9.2%
B 384
 
5.9%
H 360
 
5.5%
C 288
 
4.4%
N 288
 
4.4%
M 240
 
3.7%
Other values (8) 936
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 6096
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57384
90.2%
Common 6216
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 9192
16.0%
g 8664
15.1%
u 6624
11.5%
o 4920
8.6%
e 4008
 
7.0%
a 3936
 
6.9%
s 2880
 
5.0%
i 2568
 
4.5%
h 1368
 
2.4%
G 1320
 
2.3%
Other values (29) 11904
20.7%
Common
ValueCountFrequency (%)
- 6096
98.1%
120
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 9192
14.5%
g 8664
13.6%
u 6624
10.4%
- 6096
9.6%
o 4920
 
7.7%
e 4008
 
6.3%
a 3936
 
6.2%
s 2880
 
4.5%
i 2568
 
4.0%
h 1368
 
2.2%
Other values (31) 13344
21.0%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
시·군·구별
6408 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시·군·구별
2nd row시·군·구별
3rd row시·군·구별
4th row시·군·구별
5th row시·군·구별

Common Values

ValueCountFrequency (%)
시·군·구별 6408
100.0%

Length

2024-01-10T07:08:51.889252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:51.959284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시·군·구별 6408
100.0%

분류명3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
급여종류별
6408 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급여종류별 6408
100.0%

Length

2024-01-10T07:08:52.040410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:52.111489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급여종류별 6408
100.0%

수집날짜
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.2 KiB
20231109
6408 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231109
2nd row20231109
3rd row20231109
4th row20231109
5th row20231109

Common Values

ValueCountFrequency (%)
20231109 6408
100.0%

Length

2024-01-10T07:08:52.185564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:52.472677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231109 6408
100.0%

Sample

통계표ID기관코드분류값 명3항목영문명수록주기항목명분류값 ID1분류값 ID2분류 영문명3분류값 ID3수치값분류값 명1통계표명분류 영문명2분류값 명2항목 ID단위명단위영문명분류명2분류값 영문명3분류 영문명1분류값 영문명2수록시점분류값 영문명1분류명1분류명3수집날짜
0DT_35006_N022350계ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1101By Type of Benefits350060A014320서울시·군·구별 장기요양기관 전문인력 현황By Professional사회복지사1명In person전문인력별TotalBy DistrictSocial welfare worker2021Seoul시·군·구별급여종류별20231109
1DT_35006_N022350재가ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1101By Type of Benefits350060A023739서울시·군·구별 장기요양기관 전문인력 현황By Professional사회복지사1명In person전문인력별In homeBy DistrictSocial welfare worker2021Seoul시·군·구별급여종류별20231109
2DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1101By Type of Benefits350060A03583서울시·군·구별 장기요양기관 전문인력 현황By Professional사회복지사1명In person전문인력별FacilityBy DistrictSocial welfare worker2021Seoul시·군·구별급여종류별20231109
3DT_35006_N022350계ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1102By Type of Benefits350060A01224서울시·군·구별 장기요양기관 전문인력 현황By Professional의사(계약의사포함)1명In person전문인력별TotalBy DistrictDoctor(including part-time)2021Seoul시·군·구별급여종류별20231109
4DT_35006_N022350재가ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1102By Type of Benefits350060A0217서울시·군·구별 장기요양기관 전문인력 현황By Professional의사(계약의사포함)1명In person전문인력별In homeBy DistrictDoctor(including part-time)2021Seoul시·군·구별급여종류별20231109
5DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1102By Type of Benefits350060A03215서울시·군·구별 장기요양기관 전문인력 현황By Professional의사(계약의사포함)1명In person전문인력별FacilityBy DistrictDoctor(including part-time)2021Seoul시·군·구별급여종류별20231109
6DT_35006_N022350계ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1103By Type of Benefits350060A01562서울시·군·구별 장기요양기관 전문인력 현황By Professional간호사1명In person전문인력별TotalBy DistrictNurse2021Seoul시·군·구별급여종류별20231109
7DT_35006_N022350재가ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1103By Type of Benefits350060A02309서울시·군·구별 장기요양기관 전문인력 현황By Professional간호사1명In person전문인력별In homeBy DistrictNurse2021Seoul시·군·구별급여종류별20231109
8DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황15350AC400A1103By Type of Benefits350060A03261서울시·군·구별 장기요양기관 전문인력 현황By Professional간호사1명In person전문인력별FacilityBy DistrictNurse2021Seoul시·군·구별급여종류별20231109
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통계표ID기관코드분류값 명3항목영문명수록주기항목명분류값 ID1분류값 ID2분류 영문명3분류값 ID3수치값분류값 명1통계표명분류 영문명2분류값 명2항목 ID단위명단위영문명분류명2분류값 영문명3분류 영문명1분류값 영문명2수록시점분류값 영문명1분류명1분류명3수집날짜
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6401DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황A07106By Type of Benefits350060A033천안시서북구시·군·구별 장기요양기관 전문인력 현황By Professional물리(작업)치료사1명In person전문인력별FacilityBy DistrictPhysical therapist2021Seobuk-gu시·군·구별급여종류별20231109
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6404DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황A07107By Type of Benefits350060A03397천안시서북구시·군·구별 장기요양기관 전문인력 현황By Professional요양보호사1명In person전문인력별FacilityBy DistrictCare helper2021Seobuk-gu시·군·구별급여종류별20231109
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6406DT_35006_N022350재가ProfessionalsA시·군·구별 장기요양기관 전문인력 현황A07109By Type of Benefits350060A02-천안시서북구시·군·구별 장기요양기관 전문인력 현황By Professional영양사1명In person전문인력별In homeBy DistrictNutritionist2021Seobuk-gu시·군·구별급여종류별20231109
6407DT_35006_N022350시설ProfessionalsA시·군·구별 장기요양기관 전문인력 현황A07109By Type of Benefits350060A034천안시서북구시·군·구별 장기요양기관 전문인력 현황By Professional영양사1명In person전문인력별FacilityBy DistrictNutritionist2021Seobuk-gu시·군·구별급여종류별20231109