gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	60
Missing cells	31
Missing cells (%)	4.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.8 KiB
Average record size in memory	116.2 B

Variable types

Categorical	1
Numeric	10
Text	2

Dataset

Description	한국보훈복지의료공단 부산보훈병원 2022년 다빈도질환자 연령별 분포자료(실인원 / 연인원 / 진료비용) ※ 59세 이하 / 60대 / 70대 / 80대 / 90세 이상
URL	https://www.data.go.kr/data/15102306/fileData.do

Alerts

`순위` is highly overall correlated with `진료비(천원)`	High correlation
`실인원` is highly overall correlated with `연인원` and 8 other fields	High correlation
`연인원` is highly overall correlated with `실인원` and 7 other fields	High correlation
`진료비(천원)` is highly overall correlated with `순위` and 2 other fields	High correlation
`59세이하` is highly overall correlated with `실인원` and 6 other fields	High correlation
`60세-64세` is highly overall correlated with `실인원` and 6 other fields	High correlation
`65세-69세` is highly overall correlated with `실인원` and 6 other fields	High correlation
`70세-79세` is highly overall correlated with `실인원` and 7 other fields	High correlation
`80세-89세` is highly overall correlated with `실인원` and 6 other fields	High correlation
`90세이상` is highly overall correlated with `실인원` and 6 other fields	High correlation
`구분` is highly overall correlated with `실인원` and 1 other fields	High correlation
`59세이하` has 7 (11.7%) missing values	Missing
`60세-64세` has 8 (13.3%) missing values	Missing
`65세-69세` has 1 (1.7%) missing values	Missing
`80세-89세` has 2 (3.3%) missing values	Missing
`90세이상` has 13 (21.7%) missing values	Missing

Reproduction

Analysis started	2023-12-13 00:00:23.373907
Analysis finished	2023-12-13 00:00:31.549037
Duration	8.18 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	612.0 B

입원실인원	20
입원연인원	20
외래	20

Length

Max length	5
Median length	5
Mean length	4
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	입원실인원
2nd row	입원실인원
3rd row	입원실인원
4th row	입원실인원
5th row	입원실인원

Common Values

Value	Count	Frequency (%)
입원실인원	20	33.3%
입원연인원	20	33.3%
외래	20	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
입원실인원	20	33.3%
입원연인원	20	33.3%
외래	20	33.3%

순위
Real number (ℝ)

HIGH CORRELATION

Distinct	20
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.5

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	1.95
Q1	5.75
median	10.5
Q3	15.25
95-th percentile	19.05
Maximum	20
Range	19
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	5.8149428
Coefficient of variation (CV)	0.55380407
Kurtosis	-1.2058222
Mean	10.5
Median Absolute Deviation (MAD)	5
Skewness	0
Sum	630
Variance	33.813559
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	3	5.0%
12	3	5.0%
20	3	5.0%
19	3	5.0%
18	3	5.0%
17	3	5.0%
16	3	5.0%
15	3	5.0%
14	3	5.0%
13	3	5.0%
Other values (10)	30	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	5.0%
2	3	5.0%
3	3	5.0%
4	3	5.0%
5	3	5.0%
6	3	5.0%
7	3	5.0%
8	3	5.0%
9	3	5.0%
10	3	5.0%

Value	Count	Frequency (%)
20	3	5.0%
19	3	5.0%
18	3	5.0%
17	3	5.0%
16	3	5.0%
15	3	5.0%
14	3	5.0%
13	3	5.0%
12	3	5.0%
11	3	5.0%

상병코드
Text

Distinct	36
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	612.0 B

Length

Max length	5
Median length	5
Mean length	4.9666667
Min length	3

Characters and Unicode

Total characters	298
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	31.7%

Sample

1st row	U07
2nd row	I20
3rd row	M48
4th row	N40
5th row	J18

Value	Count	Frequency (%)
u07	3	5.0%
m75	3	5.0%
i20	3	5.0%
e11	3	5.0%
m17	3	5.0%
i63	3	5.0%
m48	3	5.0%
c16	2	3.3%
n18	2	3.3%
c34	2	3.3%
Other values (26)	33	55.0%

Most occurring characters

Value	Count	Frequency (%)
	118	39.6%
1	23	7.7%
0	18	6.0%
M	15	5.0%
5	12	4.0%
3	12	4.0%
6	12	4.0%
4	11	3.7%
I	11	3.7%
7	10	3.4%
Other values (15)	56	18.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120	40.3%
Space Separator	118	39.6%
Uppercase Letter	60	20.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	15	25.0%
I	11	18.3%
K	7	11.7%
N	5	8.3%
S	5	8.3%
C	4	6.7%
E	3	5.0%
U	3	5.0%
J	2	3.3%
G	1	1.7%
Other values (4)	4	6.7%

Decimal Number

Value	Count	Frequency (%)
1	23	19.2%
0	18	15.0%
5	12	10.0%
3	12	10.0%
6	12	10.0%
4	11	9.2%
7	10	8.3%
8	9	7.5%
2	9	7.5%
9	4	3.3%

Space Separator

Value	Count	Frequency (%)
	118	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	238	79.9%
Latin	60	20.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	15	25.0%
I	11	18.3%
K	7	11.7%
N	5	8.3%
S	5	8.3%
C	4	6.7%
E	3	5.0%
U	3	5.0%
J	2	3.3%
G	1	1.7%
Other values (4)	4	6.7%

Common

Value	Count	Frequency (%)
	118	49.6%
1	23	9.7%
0	18	7.6%
5	12	5.0%
3	12	5.0%
6	12	5.0%
4	11	4.6%
7	10	4.2%
8	9	3.8%
2	9	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	298	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	118	39.6%
1	23	7.7%
0	18	6.0%
M	15	5.0%
5	12	4.0%
3	12	4.0%
6	12	4.0%
4	11	3.7%
I	11	3.7%
7	10	3.4%
Other values (15)	56	18.8%

상병명칭
Text

Distinct	36
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Memory size	612.0 B

Length

Max length	26
Median length	17.5
Mean length	10.833333
Min length	5

Characters and Unicode

Total characters	650
Distinct characters	130
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	31.7%

Sample

1st row	코로나바이러스 질환 2019
2nd row	협심증
3rd row	기타 척추병증
4th row	전립선증식증
5th row	상세불명 병원체의 폐렴

Value	Count	Frequency (%)
및	13	9.0%
기타	9	6.2%
신생물	4	2.8%
악성	4	2.8%
질환	4	2.8%
무릎관절증	3	2.1%
않은	3	2.1%
달리	3	2.1%
뇌경색증	3	2.1%
코로나바이러스	3	2.1%
Other values (60)	96	66.2%

Most occurring characters

Value	Count	Frequency (%)
	203	31.2%
증	18	2.8%
의	16	2.5%
병	15	2.3%
및	13	2.0%
기	13	2.0%
장	13	2.0%
타	10	1.5%
성	10	1.5%
위	8	1.2%
Other values (120)	331	50.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	429	66.0%
Space Separator	203	31.2%
Decimal Number	15	2.3%
Dash Punctuation	1	0.2%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
증	18	4.2%
의	16	3.7%
병	15	3.5%
및	13	3.0%
기	13	3.0%
장	13	3.0%
타	10	2.3%
성	10	2.3%
위	8	1.9%
환	8	1.9%
Other values (112)	305	71.1%

Decimal Number

Value	Count	Frequency (%)
2	6	40.0%
0	3	20.0%
1	3	20.0%
9	3	20.0%

Space Separator

Value	Count	Frequency (%)
	203	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	429	66.0%
Common	221	34.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
증	18	4.2%
의	16	3.7%
병	15	3.5%
및	13	3.0%
기	13	3.0%
장	13	3.0%
타	10	2.3%
성	10	2.3%
위	8	1.9%
환	8	1.9%
Other values (112)	305	71.1%

Common

Value	Count	Frequency (%)
	203	91.9%
2	6	2.7%
0	3	1.4%
1	3	1.4%
9	3	1.4%
-	1	0.5%
(	1	0.5%
)	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	429	66.0%
ASCII	221	34.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	203	91.9%
2	6	2.7%
0	3	1.4%
1	3	1.4%
9	3	1.4%
-	1	0.5%
(	1	0.5%
)	1	0.5%

Hangul

Value	Count	Frequency (%)
증	18	4.2%
의	16	3.7%
병	15	3.5%
및	13	3.0%
기	13	3.0%
장	13	3.0%
타	10	2.3%
성	10	2.3%
위	8	1.9%
환	8	1.9%
Other values (112)	305	71.1%

실인원
Real number (ℝ)

HIGH CORRELATION

Distinct	43
Distinct (%)	71.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4227.1333

Minimum	33
Maximum	28597
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	33
5-th percentile	43.5
Q1	69
median	180
Q3	6663.25
95-th percentile	18453.25
Maximum	28597
Range	28564
Interquartile range (IQR)	6594.25

Descriptive statistics

Standard deviation	6946.3006
Coefficient of variation (CV)	1.6432651
Kurtosis	2.5438687
Mean	4227.1333
Median Absolute Deviation (MAD)	126
Skewness	1.7767919
Sum	253628
Variance	48251092
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
54	4	6.7%
654	2	3.3%
103	2	3.3%
591	2	3.3%
55	2	3.3%
69	2	3.3%
76	2	3.3%
90	2	3.3%
87	2	3.3%
129	2	3.3%
Other values (33)	38	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33	1	1.7%
34	2	3.3%
44	1	1.7%
47	1	1.7%
54	4	6.7%
55	2	3.3%
57	1	1.7%
63	1	1.7%
68	1	1.7%
69	2	3.3%

Value	Count	Frequency (%)
28597	1	1.7%
22845	1	1.7%
22771	1	1.7%
18226	1	1.7%
16286	1	1.7%
14956	1	1.7%
14638	1	1.7%
14087	1	1.7%
12812	1	1.7%
11608	1	1.7%

연인원
Real number (ℝ)

HIGH CORRELATION

Distinct	45
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6448.5167

Minimum	356
Maximum	28597
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	356
5-th percentile	1201
Q1	2310.5
median	4674
Q3	7391.25
95-th percentile	18453.25
Maximum	28597
Range	28241
Interquartile range (IQR)	5080.75

Descriptive statistics

Standard deviation	6081.5769
Coefficient of variation (CV)	0.94309702
Kurtosis	2.9255654
Mean	6448.5167
Median Absolute Deviation (MAD)	2404
Skewness	1.7486549
Sum	386911
Variance	36985577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
4730	2	3.3%
2235	2	3.3%
2324	2	3.3%
1950	2	3.3%
2497	2	3.3%
2329	2	3.3%
3441	2	3.3%
4452	2	3.3%
4759	2	3.3%
5203	2	3.3%
Other values (35)	40	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
356	1	1.7%
458	1	1.7%
498	1	1.7%
1238	1	1.7%
1478	1	1.7%
1519	1	1.7%
1777	1	1.7%
1879	1	1.7%
1950	2	3.3%
2017	1	1.7%

Value	Count	Frequency (%)
28597	1	1.7%
22845	1	1.7%
22771	1	1.7%
18226	1	1.7%
16286	1	1.7%
14956	1	1.7%
14638	1	1.7%
14087	1	1.7%
12912	2	3.3%
12812	1	1.7%

진료비(천원)
Real number (ℝ)

HIGH CORRELATION

Distinct	45
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1266808.3

Minimum	130539
Maximum	3794079
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	130539
5-th percentile	316874.7
Q1	616524.25
median	1027719
Q3	1758408.2
95-th percentile	3037547.8
Maximum	3794079
Range	3663540
Interquartile range (IQR)	1141884

Descriptive statistics

Standard deviation	861248.51
Coefficient of variation (CV)	0.67985701
Kurtosis	1.0437413
Mean	1266808.3
Median Absolute Deviation (MAD)	527169
Skewness	1.153319
Sum	76008499
Variance	7.41749 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1732179	2	3.3%
703462	2	3.3%
691320	2	3.3%
495413	2	3.3%
545543	2	3.3%
1011117	2	3.3%
1248558	2	3.3%
1255811	2	3.3%
1325422	2	3.3%
1782880	2	3.3%
Other values (35)	40	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
130539	1	1.7%
181796	1	1.7%
196428	1	1.7%
323214	1	1.7%
420786	1	1.7%
476027	1	1.7%
492446	1	1.7%
495413	2	3.3%
505687	1	1.7%
534901	1	1.7%

Value	Count	Frequency (%)
3794079	2	3.3%
3073947	1	1.7%
3035632	1	1.7%
2610095	2	3.3%
2476727	1	1.7%
2331293	1	1.7%
2155582	1	1.7%
1812237	2	3.3%
1784340	1	1.7%
1783414	1	1.7%

59세이하
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	46
Distinct (%)	86.8%
Missing	7
Missing (%)	11.7%
Infinite	0
Infinite (%)	0.0%
Mean	571.56604

Minimum	1
Maximum	13578
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	138
Q3	353
95-th percentile	802.2
Maximum	13578
Range	13577
Interquartile range (IQR)	345

Descriptive statistics

Standard deviation	1995.1919
Coefficient of variation (CV)	3.4907461
Kurtosis	36.888517
Mean	571.56604
Median Absolute Deviation (MAD)	135
Skewness	5.9023291
Sum	30293
Variance	3980790.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
2	3	5.0%
4	3	5.0%
3	2	3.3%
1	2	3.3%
214	2	3.3%
607	1	1.7%
861	1	1.7%
13578	1	1.7%
763	1	1.7%
490	1	1.7%
Other values (36)	36	60.0%
(Missing)	7	11.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	3.3%
2	3	5.0%
3	2	3.3%
4	3	5.0%
5	1	1.7%
6	1	1.7%
7	1	1.7%
8	1	1.7%
10	1	1.7%
12	1	1.7%

Value	Count	Frequency (%)
13578	1	1.7%
5888	1	1.7%
861	1	1.7%
763	1	1.7%
724	1	1.7%
716	1	1.7%
615	1	1.7%
607	1	1.7%
541	1	1.7%
532	1	1.7%

60세-64세
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	41
Distinct (%)	78.8%
Missing	8
Missing (%)	13.3%
Infinite	0
Infinite (%)	0.0%
Mean	199.90385

Minimum	1
Maximum	2412
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	65.5
Q3	220
95-th percentile	589.2
Maximum	2412
Range	2411
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	369.25639
Coefficient of variation (CV)	1.84717
Kurtosis	25.525674
Mean	199.90385
Median Absolute Deviation (MAD)	64.5
Skewness	4.50189
Sum	10395
Variance	136350.28
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1	6	10.0%
4	4	6.7%
3	2	3.3%
2	2	3.3%
17	2	3.3%
159	1	1.7%
318	1	1.7%
384	1	1.7%
536	1	1.7%
466	1	1.7%
Other values (31)	31	51.7%
(Missing)	8	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	10.0%
2	2	3.3%
3	2	3.3%
4	4	6.7%
8	1	1.7%
9	1	1.7%
14	1	1.7%
17	2	3.3%
24	1	1.7%
32	1	1.7%

Value	Count	Frequency (%)
2412	1	1.7%
817	1	1.7%
598	1	1.7%
582	1	1.7%
536	1	1.7%
472	1	1.7%
466	1	1.7%
465	1	1.7%
384	1	1.7%
383	1	1.7%

65세-69세
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	48
Distinct (%)	81.4%
Missing	1
Missing (%)	1.7%
Infinite	0
Infinite (%)	0.0%
Mean	308.54237

Minimum	1
Maximum	1883
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	1.9
Q1	6
median	90
Q3	523.5
95-th percentile	1084
Maximum	1883
Range	1882
Interquartile range (IQR)	517.5

Descriptive statistics

Standard deviation	433.69771
Coefficient of variation (CV)	1.4056342
Kurtosis	3.5881157
Mean	308.54237
Median Absolute Deviation (MAD)	88
Skewness	1.8996758
Sum	18204
Variance	188093.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
4	4	6.7%
2	4	6.7%
3	3	5.0%
1	3	5.0%
12	2	3.3%
62	1	1.7%
899	1	1.7%
1480	1	1.7%
1666	1	1.7%
895	1	1.7%
Other values (38)	38	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	5.0%
2	4	6.7%
3	3	5.0%
4	4	6.7%
5	1	1.7%
7	1	1.7%
10	1	1.7%
12	2	3.3%
13	1	1.7%
16	1	1.7%

Value	Count	Frequency (%)
1883	1	1.7%
1666	1	1.7%
1480	1	1.7%
1040	1	1.7%
957	1	1.7%
899	1	1.7%
895	1	1.7%
833	1	1.7%
772	1	1.7%
589	1	1.7%

70세-79세
Real number (ℝ)

HIGH CORRELATION

Distinct	58
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3778.1

Minimum	32
Maximum	22644
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	32
5-th percentile	44
Q1	120.5
median	2268.5
Q3	4800
95-th percentile	12034.1
Maximum	22644
Range	22612
Interquartile range (IQR)	4679.5

Descriptive statistics

Standard deviation	4724.7425
Coefficient of variation (CV)	1.2505605
Kurtosis	4.0018781
Mean	3778.1
Median Absolute Deviation (MAD)	2166.5
Skewness	1.9007402
Sum	226686
Variance	22323191
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	2	3.3%
102	2	3.3%
10024	1	1.7%
1660	1	1.7%
1385	1	1.7%
1538	1	1.7%
925	1	1.7%
1093	1	1.7%
22644	1	1.7%
17080	1	1.7%
Other values (48)	48	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32	1	1.7%
40	1	1.7%
44	2	3.3%
49	1	1.7%
52	1	1.7%
54	1	1.7%
60	1	1.7%
62	1	1.7%
74	1	1.7%
77	1	1.7%

Value	Count	Frequency (%)
22644	1	1.7%
17080	1	1.7%
13841	1	1.7%
11939	1	1.7%
11565	1	1.7%
11520	1	1.7%
11414	1	1.7%
10024	1	1.7%
8872	1	1.7%
8761	1	1.7%

80세-89세
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	56
Distinct (%)	96.6%
Missing	2
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	531.44828

Minimum	1
Maximum	3109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	4.85
Q1	23
median	285
Q3	789.75
95-th percentile	1669.35
Maximum	3109
Range	3108
Interquartile range (IQR)	766.75

Descriptive statistics

Standard deviation	652.96012
Coefficient of variation (CV)	1.2286428
Kurtosis	3.6525979
Mean	531.44828
Median Absolute Deviation (MAD)	276
Skewness	1.7956741
Sum	30824
Variance	426356.92
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	2	3.3%
9	2	3.3%
1581	1	1.7%
302	1	1.7%
145	1	1.7%
293	1	1.7%
112	1	1.7%
3109	1	1.7%
2258	1	1.7%
1150	1	1.7%
Other values (46)	46	76.7%
(Missing)	2	3.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.7%
2	1	1.7%
4	1	1.7%
5	1	1.7%
6	1	1.7%
8	1	1.7%
9	2	3.3%
10	2	3.3%
12	1	1.7%
14	1	1.7%

Value	Count	Frequency (%)
3109	1	1.7%
2258	1	1.7%
1864	1	1.7%
1635	1	1.7%
1614	1	1.7%
1581	1	1.7%
1516	1	1.7%
1419	1	1.7%
1150	1	1.7%
951	1	1.7%

90세이상
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	42
Distinct (%)	89.4%
Missing	13
Missing (%)	21.7%
Infinite	0
Infinite (%)	0.0%
Mean	150.44681

Minimum	1
Maximum	1023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	672.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	25
median	89
Q3	197
95-th percentile	491.1
Maximum	1023
Range	1022
Interquartile range (IQR)	172

Descriptive statistics

Standard deviation	196.54436
Coefficient of variation (CV)	1.3064043
Kurtosis	8.197136
Mean	150.44681
Median Absolute Deviation (MAD)	82
Skewness	2.5510176
Sum	7071
Variance	38629.687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	4	6.7%
4	2	3.3%
2	2	3.3%
32	1	1.7%
391	1	1.7%
234	1	1.7%
294	1	1.7%
237	1	1.7%
374	1	1.7%
534	1	1.7%
Other values (32)	32	53.3%
(Missing)	13	21.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	6.7%
2	2	3.3%
3	1	1.7%
4	2	3.3%
5	1	1.7%
7	1	1.7%
23	1	1.7%
27	1	1.7%
32	1	1.7%
37	1	1.7%

Value	Count	Frequency (%)
1023	1	1.7%
665	1	1.7%
534	1	1.7%
391	1	1.7%
374	1	1.7%
349	1	1.7%
309	1	1.7%
295	1	1.7%
294	1	1.7%
237	1	1.7%

Phik (φk)
Auto

Heatmap
Table

	구분	순위	상병코드	상병명칭	실인원	연인원	진료비(천원)	59세이하	60세-64세	65세-69세	70세-79세	80세-89세	90세이상
구분	1.000	0.000	0.000	0.000	0.908	0.812	0.000	0.000	0.411	0.786	0.890	0.646	0.476
순위	0.000	1.000	0.000	0.000	0.392	0.268	0.561	0.217	0.000	0.000	0.363	0.289	0.346
상병코드	0.000	0.000	1.000	1.000	0.870	0.844	0.774	0.636	0.000	0.000	0.818	0.000	0.000
상병명칭	0.000	0.000	1.000	1.000	0.870	0.844	0.774	0.636	0.000	0.000	0.818	0.000	0.000
실인원	0.908	0.392	0.870	0.870	1.000	0.992	0.586	0.982	0.839	0.921	0.986	0.865	0.795
연인원	0.812	0.268	0.844	0.844	0.992	1.000	0.747	0.896	0.794	0.924	0.981	0.855	0.772
진료비(천원)	0.000	0.561	0.774	0.774	0.586	0.747	1.000	0.000	0.854	0.702	0.708	0.696	0.700
59세이하	0.000	0.217	0.636	0.636	0.982	0.896	0.000	1.000	0.779	0.952	0.000	0.549	0.000
60세-64세	0.411	0.000	0.000	0.000	0.839	0.794	0.854	0.779	1.000	0.933	0.832	0.843	0.601
65세-69세	0.786	0.000	0.000	0.000	0.921	0.924	0.702	0.952	0.933	1.000	0.934	0.841	0.750
70세-79세	0.890	0.363	0.818	0.818	0.986	0.981	0.708	0.000	0.832	0.934	1.000	0.875	0.818
80세-89세	0.646	0.289	0.000	0.000	0.865	0.855	0.696	0.549	0.843	0.841	0.875	1.000	0.801
90세이상	0.476	0.346	0.000	0.000	0.795	0.772	0.700	0.000	0.601	0.750	0.818	0.801	1.000

Heatmap
Table

	순위	실인원	연인원	진료비(천원)	59세이하	60세-64세	65세-69세	70세-79세	80세-89세	90세이상	구분
순위	1.000	-0.480	-0.498	-0.735	-0.231	-0.309	-0.308	-0.329	-0.270	-0.186	0.000
실인원	-0.480	1.000	0.856	0.533	0.651	0.789	0.735	0.730	0.716	0.599	0.614
연인원	-0.498	0.856	1.000	0.664	0.703	0.788	0.770	0.780	0.701	0.569	0.492
진료비(천원)	-0.735	0.533	0.664	1.000	0.285	0.375	0.414	0.424	0.348	0.284	0.000
59세이하	-0.231	0.651	0.703	0.285	1.000	0.919	0.896	0.809	0.798	0.616	0.000
60세-64세	-0.309	0.789	0.788	0.375	0.919	1.000	0.965	0.880	0.874	0.769	0.332
65세-69세	-0.308	0.735	0.770	0.414	0.896	0.965	1.000	0.895	0.840	0.709	0.463
70세-79세	-0.329	0.730	0.780	0.424	0.809	0.880	0.895	1.000	0.893	0.770	0.587
80세-89세	-0.270	0.716	0.701	0.348	0.798	0.874	0.840	0.893	1.000	0.902	0.494
90세이상	-0.186	0.599	0.569	0.284	0.616	0.769	0.709	0.770	0.902	1.000	0.343
구분	0.000	0.614	0.492	0.000	0.000	0.332	0.463	0.587	0.494	0.343	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	구분	순위	상병코드	상병명칭	실인원	연인원	진료비(천원)	59세이하	60세-64세	65세-69세	70세-79세	80세-89세	90세이상
0	입원실인원	1	U07	코로나바이러스 질환 2019	654	4730	1732179	141	55	62	224	135	37
1	입원실인원	2	I20	협심증	591	3032	2610095	10	9	34	488	43	7
2	입원실인원	3	M48	기타 척추병증	267	12912	3794079	6	8	12	220	17	4
3	입원실인원	4	N40	전립선증식증	259	1478	534901	2	3	7	226	21	<NA>
4	입원실인원	5	J18	상세불명 병원체의 폐렴	181	4618	1683207	4	2	3	113	36	23
5	입원실인원	6	I50	심부전	180	2270	793286	2	<NA>	1	102	48	27
6	입원실인원	7	M51	기타 추간판장애	157	5938	1812237	14	<NA>	10	123	10	<NA>
7	입원실인원	8	M17	무릎관절증	129	5203	1782880	<NA>	4	16	102	6	1
8	입원실인원	9	C16	위의 악성 신생물	103	2235	703462	5	4	4	77	10	3
9	입원실인원	10	M96	달리 분류되지 않은 처치후 근골격장애	90	4452	1255811	3	1	1	80	5	<NA>

	구분	순위	상병코드	상병명칭	실인원	연인원	진료비(천원)	59세이하	60세-64세	65세-69세	70세-79세	80세-89세	90세이상
50	외래	11	Z11	감염성 및 기생충성 질환에 대한 특수선별검사	11209	11209	637376	5888	582	899	3380	386	74
51	외래	12	M54	등통증	8089	8089	625796	541	209	316	6116	875	32
52	외래	13	K08	치아 및 지지구조의 기타 장애	7767	7767	1784340	214	159	510	6187	572	125
53	외래	14	K02	치아우식	7266	7266	1252744	532	189	537	5346	577	85
54	외래	15	I63	뇌경색증	7054	7054	1044321	175	212	170	5507	789	201
55	외래	16	K21	위-식도역류병	6533	6533	866313	323	208	445	4932	536	89
56	외래	17	N31	달리 분류되지 않은 방광의 신경근육기능장애	6417	6417	672652	285	147	284	4756	790	155
57	외래	18	M75	어깨병변	5689	5689	1046953	380	219	538	4231	277	44
58	외래	19	R53	병감 및 피로	5331	5331	181796	282	131	349	3879	583	107
59	외래	20	H25	노년백내장	5228	5228	420786	12	56	184	4252	610	114

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Interactions

Correlations

Missing values

Sample