Overview

Dataset statistics

Number of variables4
Number of observations4605
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory157.5 KiB
Average record size in memory35.0 B

Variable types

Text1
Numeric3

Dataset

Description의료급여 비용의 월 지급 소요 통계로 각 년, 월과 예탁 시, 도 별, 심평원 지급소요일, 공단 지급소요일을 나타낸 통계. 컬럼명은 의료급여통계년월(지급년월), 예탁기관, 심평원 지급소요일, 공단 지급소요일
URLhttps://www.data.go.kr/data/15121274/fileData.do

Alerts

심평원 지급소요일 is highly overall correlated with 공단 지급소요일 High correlation
공단 지급소요일 is highly overall correlated with 심평원 지급소요일 High correlation
예탁기관 has 261 (5.7%) zerosZeros
심평원 지급소요일 has 93 (2.0%) zerosZeros
공단 지급소요일 has 93 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 20:51:49.543046
Analysis finished2023-12-12 20:51:51.265737
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계년월(지급년월)
Text

Distinct263
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size36.1 KiB
2023-12-13T05:51:51.576170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters32235
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

Unique0 ?
Unique (%)0.0%

Sample

1st row2007-07
2nd row2007-07
3rd row2007-07
4th row2007-07
5th row2007-07
ValueCountFrequency (%)
2023-06 19
 
0.4%
2023-07 19
 
0.4%
2021-01 18
 
0.4%
2022-08 18
 
0.4%
2021-08 18
 
0.4%
2021-05 18
 
0.4%
2021-12 18
 
0.4%
2021-04 18
 
0.4%
2021-03 18
 
0.4%
2021-09 18
 
0.4%
Other values (253) 4423
96.0%
2023-12-13T05:51:52.046815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10526
32.7%
2 6782
21.0%
- 4605
14.3%
1 4509
14.0%
3 949
 
2.9%
9 836
 
2.6%
5 821
 
2.5%
6 807
 
2.5%
7 807
 
2.5%
4 805
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27630
85.7%
Dash Punctuation 4605
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10526
38.1%
2 6782
24.5%
1 4509
16.3%
3 949
 
3.4%
9 836
 
3.0%
5 821
 
3.0%
6 807
 
2.9%
7 807
 
2.9%
4 805
 
2.9%
8 788
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 4605
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10526
32.7%
2 6782
21.0%
- 4605
14.3%
1 4509
14.0%
3 949
 
2.9%
9 836
 
2.6%
5 821
 
2.5%
6 807
 
2.5%
7 807
 
2.5%
4 805
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10526
32.7%
2 6782
21.0%
- 4605
14.3%
1 4509
14.0%
3 949
 
2.9%
9 836
 
2.6%
5 821
 
2.5%
6 807
 
2.5%
7 807
 
2.5%
4 805
 
2.5%

예탁기관
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5986991.1
Minimum0
Maximum6530000
Zeros261
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size40.6 KiB
2023-12-13T05:51:52.176066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16270000
median6410000
Q36450000
95-th percentile6500000
Maximum6530000
Range6530000
Interquartile range (IQR)180000

Descriptive statistics

Standard deviation1475538.4
Coefficient of variation (CV)0.24645743
Kurtosis12.389045
Mean5986991.1
Median Absolute Deviation (MAD)90000
Skewness-3.7696571
Sum2.7570094 × 1010
Variance2.1772137 × 1012
MonotonicityNot monotonic
2023-12-13T05:51:52.286294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6110000 263
 
5.7%
6430000 263
 
5.7%
6500000 263
 
5.7%
6480000 263
 
5.7%
6470000 263
 
5.7%
6460000 263
 
5.7%
6450000 263
 
5.7%
6260000 263
 
5.7%
6440000 263
 
5.7%
6420000 263
 
5.7%
Other values (9) 1975
42.9%
ValueCountFrequency (%)
0 261
5.7%
5691000 134
2.9%
6110000 263
5.7%
6260000 263
5.7%
6270000 263
5.7%
6280000 263
5.7%
6290000 263
5.7%
6300000 263
5.7%
6310000 263
5.7%
6410000 263
5.7%
ValueCountFrequency (%)
6530000 2
 
< 0.1%
6500000 263
5.7%
6480000 263
5.7%
6470000 263
5.7%
6460000 263
5.7%
6450000 263
5.7%
6440000 263
5.7%
6430000 263
5.7%
6420000 263
5.7%
6410000 263
5.7%

심평원 지급소요일
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct102
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.130293
Minimum0
Maximum127
Zeros93
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size40.6 KiB
2023-12-13T05:51:52.456978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q117
median18
Q328
95-th percentile60
Maximum127
Range127
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.232294
Coefficient of variation (CV)0.64592537
Kurtosis7.0524488
Mean25.130293
Median Absolute Deviation (MAD)2
Skewness2.451244
Sum115725
Variance263.48736
MonotonicityNot monotonic
2023-12-13T05:51:52.639258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 780
16.9%
16 672
14.6%
18 580
 
12.6%
19 383
 
8.3%
15 190
 
4.1%
20 168
 
3.6%
0 93
 
2.0%
22 89
 
1.9%
23 87
 
1.9%
21 84
 
1.8%
Other values (92) 1479
32.1%
ValueCountFrequency (%)
0 93
 
2.0%
10 1
 
< 0.1%
14 21
 
0.5%
15 190
 
4.1%
16 672
14.6%
17 780
16.9%
18 580
12.6%
19 383
8.3%
20 168
 
3.6%
21 84
 
1.8%
ValueCountFrequency (%)
127 1
 
< 0.1%
118 1
 
< 0.1%
114 1
 
< 0.1%
112 2
< 0.1%
111 1
 
< 0.1%
110 1
 
< 0.1%
109 3
0.1%
108 3
0.1%
107 1
 
< 0.1%
106 3
0.1%

공단 지급소요일
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct89
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.426059
Minimum0
Maximum98
Zeros93
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size40.6 KiB
2023-12-13T05:51:52.818796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median5
Q311
95-th percentile42
Maximum98
Range98
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.842951
Coefficient of variation (CV)1.2115246
Kurtosis8.6705254
Mean11.426059
Median Absolute Deviation (MAD)1
Skewness2.8094786
Sum52617
Variance191.6273
MonotonicityNot monotonic
2023-12-13T05:51:52.956962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1575
34.2%
4 814
17.7%
6 318
 
6.9%
7 202
 
4.4%
8 135
 
2.9%
9 117
 
2.5%
10 104
 
2.3%
0 93
 
2.0%
12 90
 
2.0%
11 89
 
1.9%
Other values (79) 1068
23.2%
ValueCountFrequency (%)
0 93
 
2.0%
3 12
 
0.3%
4 814
17.7%
5 1575
34.2%
6 318
 
6.9%
7 202
 
4.4%
8 135
 
2.9%
9 117
 
2.5%
10 104
 
2.3%
11 89
 
1.9%
ValueCountFrequency (%)
98 2
< 0.1%
95 2
< 0.1%
94 1
 
< 0.1%
92 1
 
< 0.1%
90 1
 
< 0.1%
89 2
< 0.1%
87 3
0.1%
86 1
 
< 0.1%
84 3
0.1%
83 2
< 0.1%

Interactions

2023-12-13T05:51:50.474549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:49.770656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.123777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.562946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:49.885515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.256814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.983648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.011446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:50.364630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:51:53.072891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예탁기관심평원 지급소요일공단 지급소요일
예탁기관1.0000.1120.096
심평원 지급소요일0.1121.0000.947
공단 지급소요일0.0960.9471.000
2023-12-13T05:51:53.180493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예탁기관심평원 지급소요일공단 지급소요일
예탁기관1.000-0.018-0.030
심평원 지급소요일-0.0181.0000.838
공단 지급소요일-0.0300.8381.000

Missing values

2023-12-13T05:51:51.110411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:51:51.211384image/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

통계년월(지급년월)예탁기관심평원 지급소요일공단 지급소요일
02007-0761100004531
12007-0762600004125
22007-0762700003519
32007-0762800005340
42007-0762900004127
52007-0763000002713
62007-0763100003116
72007-0764100004228
82007-0764200004026
92007-0764300002713
통계년월(지급년월)예탁기관심평원 지급소요일공단 지급소요일
45952014-0164200002412
45962014-0164300002212
45972014-016440000177
45982014-0164500002313
45992014-0164600002212
46002014-0164700002513
46012014-0164800002715
46022014-0165000002513
46032014-0102715
46042015-120186