Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory49.5 B

Variable types

Numeric4
Categorical1

Dataset

Description◎ 민원인 제공신청에 따른 제공 건으로, 기 개방된 데이터의 목록명 변경 및 목록 내 파일데이터 추가 등록 -(목록명 변경 전) "요양기관 종별 간호간병통합서비스 이용현황" (2023.5.31.등록) -(목록명 변경 후) "요양기관 종별 간호간병통합서비스 운영 및 이용현황" (2023.7.18.변경) <2023-07-18 등록 데이터>_요양기관 종별 간호간병통합서비스 운영 및 이용현황 1. 진료개시연도: 2015~2022년 2. 요양기관종별: 상급종합병원, 종합병원, 병원(간호간병통합서비스대상) 3. 운영병동수 및 병상수: 연도말 운영기준 간호간병통합 병동수 및 병상수 4. 이용환자수: 간호간병통합서비스 실수진자수 - 심사년월: 2015.1월~2023.5월, 연도 내 종별간 중복제거) ※ 2023.7.14. 발췌 데이터로서 민원인의 제공신청에 따른 제공 건 <2023-05-31 등록 데이터>_요양기관 종별 간호간병통합서비스 이용현황 1. 진료개시연도: 2015년 ~ 2021년(2015.1월 ~ 2023.4월까지 심사완료된 건) 2. 요양기관 종별: 상급종합병원, 종합병원, 병원(간호간병통합서비스 대상) 3. 성별 : 남, 여 4. 이용환자 수: 간호간병통합서비스 실수진자수(연도 내 종별 간 중복제거) 5. 평균 재원일수: 간호간병통합서비스 평균 재원일수 [평균 재원일수 = 통합병동 이용일수* ÷ 이용환자 수] * (통합병동 이용일수) 요양급여비용명세서의 간호·간병료 코드 총투여일수의 합 6. 일반병동 평균 재원일수: 통합병동 이용환자의 일반병동 평균 재원일수 [일반병동 평균 재원일수 = 일반병동 이용일수** ÷ 이용환자 수] ** (일반병동 이용일수) 해당연도 통합서비스 이용환자의 일반입원료 코드 총투여일수의 합
URLhttps://www.data.go.kr/data/15114167/fileData.do

Alerts

진료개시연도 is highly overall correlated with 운영병동수 and 2 other fieldsHigh correlation
운영병동수 is highly overall correlated with 진료개시연도 and 2 other fieldsHigh correlation
운영병상수 is highly overall correlated with 진료개시연도 and 2 other fieldsHigh correlation
이용환자수 is highly overall correlated with 진료개시연도 and 2 other fieldsHigh correlation
운영병동수 has unique valuesUnique
운영병상수 has unique valuesUnique
이용환자수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:15:35.344618
Analysis finished2023-12-12 13:15:37.050423
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

진료개시연도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.5
Minimum2015
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:15:37.096960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016.75
median2018.5
Q32020.25
95-th percentile2022
Maximum2022
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.3405685
Coefficient of variation (CV)0.0011595583
Kurtosis-1.2422181
Mean2018.5
Median Absolute Deviation (MAD)2
Skewness0
Sum48444
Variance5.4782609
MonotonicityIncreasing
2023-12-12T22:15:37.201930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2015 3
12.5%
2016 3
12.5%
2017 3
12.5%
2018 3
12.5%
2019 3
12.5%
2020 3
12.5%
2021 3
12.5%
2022 3
12.5%
ValueCountFrequency (%)
2015 3
12.5%
2016 3
12.5%
2017 3
12.5%
2018 3
12.5%
2019 3
12.5%
2020 3
12.5%
2021 3
12.5%
2022 3
12.5%
ValueCountFrequency (%)
2022 3
12.5%
2021 3
12.5%
2020 3
12.5%
2019 3
12.5%
2018 3
12.5%
2017 3
12.5%
2016 3
12.5%
2015 3
12.5%

요양기관종별
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
상급종합
8 
종합병원
8 
병원
8 

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상급종합
2nd row종합병원
3rd row병원
4th row상급종합
5th row종합병원

Common Values

ValueCountFrequency (%)
상급종합 8
33.3%
종합병원 8
33.3%
병원 8
33.3%

Length

2023-12-12T22:15:37.329487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:15:37.433398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상급종합 8
33.3%
종합병원 8
33.3%
병원 8
33.3%

운영병동수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.125
Minimum10
Maximum716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:15:37.521236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile42.5
Q1122.75
median212.5
Q3471.5
95-th percentile595.95
Maximum716
Range706
Interquartile range (IQR)348.75

Descriptive statistics

Standard deviation210.04996
Coefficient of variation (CV)0.72650222
Kurtosis-1.0527748
Mean289.125
Median Absolute Deviation (MAD)160
Skewness0.46416595
Sum6939
Variance44120.984
MonotonicityNot monotonic
2023-12-12T22:15:37.663448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 1
 
4.2%
518 1
 
4.2%
600 1
 
4.2%
716 1
 
4.2%
208 1
 
4.2%
525 1
 
4.2%
573 1
 
4.2%
191 1
 
4.2%
456 1
 
4.2%
556 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
10 1
4.2%
41 1
4.2%
51 1
4.2%
54 1
4.2%
74 1
4.2%
101 1
4.2%
130 1
4.2%
138 1
4.2%
172 1
4.2%
191 1
4.2%
ValueCountFrequency (%)
716 1
4.2%
600 1
4.2%
573 1
4.2%
556 1
4.2%
525 1
4.2%
518 1
4.2%
456 1
4.2%
410 1
4.2%
391 1
4.2%
305 1
4.2%

운영병상수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12166.875
Minimum239
Maximum32080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:15:37.785257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239
5-th percentile649.5
Q15048.75
median9206.5
Q318684.5
95-th percentile25396.1
Maximum32080
Range31841
Interquartile range (IQR)13635.75

Descriptive statistics

Standard deviation9134.1823
Coefficient of variation (CV)0.75074186
Kurtosis-0.75872728
Mean12166.875
Median Absolute Deviation (MAD)6527
Skewness0.54505775
Sum292005
Variance83433287
MonotonicityNot monotonic
2023-12-12T22:15:37.897397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
456 1
 
4.2%
22717 1
 
4.2%
24129 1
 
4.2%
32080 1
 
4.2%
9223 1
 
4.2%
20873 1
 
4.2%
25523 1
 
4.2%
8536 1
 
4.2%
17955 1
 
4.2%
24677 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
239 1
4.2%
456 1
4.2%
1746 1
4.2%
2185 1
4.2%
3180 1
4.2%
4496 1
4.2%
5233 1
4.2%
6003 1
4.2%
7569 1
4.2%
8234 1
4.2%
ValueCountFrequency (%)
32080 1
4.2%
25523 1
4.2%
24677 1
4.2%
24129 1
4.2%
22717 1
4.2%
20873 1
4.2%
17955 1
4.2%
17849 1
4.2%
15239 1
4.2%
13178 1
4.2%

이용환자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284660.96
Minimum8419
Maximum777068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T22:15:38.018713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8419
5-th percentile24408
Q1109074.75
median249663
Q3406362
95-th percentile695711.6
Maximum777068
Range768649
Interquartile range (IQR)297287.25

Descriptive statistics

Standard deviation219520.31
Coefficient of variation (CV)0.77116408
Kurtosis-0.16671474
Mean284660.96
Median Absolute Deviation (MAD)158475.5
Skewness0.75739069
Sum6831863
Variance4.8189165 × 1010
MonotonicityNot monotonic
2023-12-12T22:15:38.137748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8419 1
 
4.2%
582353 1
 
4.2%
436374 1
 
4.2%
777068 1
 
4.2%
257963 1
 
4.2%
396358 1
 
4.2%
712235 1
 
4.2%
270789 1
 
4.2%
356504 1
 
4.2%
602079 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
8419 1
4.2%
23682 1
4.2%
28522 1
4.2%
60020 1
4.2%
63931 1
4.2%
79407 1
4.2%
118964 1
4.2%
136181 1
4.2%
188999 1
4.2%
203423 1
4.2%
ValueCountFrequency (%)
777068 1
4.2%
712235 1
4.2%
602079 1
4.2%
582353 1
4.2%
441688 1
4.2%
436374 1
4.2%
396358 1
4.2%
356504 1
4.2%
329136 1
4.2%
311249 1
4.2%

Interactions

2023-12-12T22:15:36.574727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.521210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.899112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.229887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.662976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.621988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.986453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.311491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.746267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.730486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.068226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.396596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.822236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:35.813737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.148476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:36.480201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:15:38.221416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진료개시연도요양기관종별운영병동수운영병상수이용환자수
진료개시연도1.0000.0000.0000.0000.000
요양기관종별0.0001.0000.5200.3380.321
운영병동수0.0000.5201.0000.9800.824
운영병상수0.0000.3380.9801.0000.793
이용환자수0.0000.3210.8240.7931.000
2023-12-12T22:15:38.314513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
진료개시연도운영병동수운영병상수이용환자수요양기관종별
진료개시연도1.0000.7170.7280.7490.000
운영병동수0.7171.0000.9850.9640.191
운영병상수0.7280.9851.0000.9790.191
이용환자수0.7490.9640.9791.0000.234
요양기관종별0.0000.1910.1910.2341.000

Missing values

2023-12-12T22:15:36.928071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:15:37.017542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

진료개시연도요양기관종별운영병동수운영병상수이용환자수
02015상급종합104568419
12015종합병원101449663931
22015병원51218528522
32016상급종합41174623682
42016종합병원2109190205156
52016병원1305233118964
62017상급종합5423960020
72017종합병원30513178329136
82017병원2158234188999
92018상급종합74318079407
진료개시연도요양기관종별운영병동수운영병상수이용환자수
142019병원39115239311249
152020상급종합1727569203423
162020종합병원55624677602079
172020병원45617955356504
182021상급종합1918536270789
192021종합병원57325523712235
202021병원52520873396358
212022상급종합2089223257963
222022종합병원71632080777068
232022병원60024129436374