gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	112.0 B

Variable types

Numeric	8
Categorical	3
Text	1

Dataset

Description	전국은 1년, 시도는 4년, 시군구는 6년분 자료를 활용하여 기대수명 산출. 성별, 보험료 분위별 기대수명을 보여주고, 기대수명 격차를 제공 합니다.
URL	https://www.data.go.kr/data/15039778/fileData.do

Alerts

`평균 기대수명` is highly overall correlated with `보험료1분위` and 6 other fields	High correlation
`보험료1분위` is highly overall correlated with `평균 기대수명` and 6 other fields	High correlation
`보험료2분위` is highly overall correlated with `평균 기대수명` and 6 other fields	High correlation
`보험료3분위` is highly overall correlated with `평균 기대수명` and 5 other fields	High correlation
`보험료4분위` is highly overall correlated with `평균 기대수명` and 5 other fields	High correlation
`보험료5분위` is highly overall correlated with `평균 기대수명` and 5 other fields	High correlation
`기대수명격차` is highly overall correlated with `평균 기대수명` and 2 other fields	High correlation
`적용기간` is highly overall correlated with `시도`	High correlation
`성별` is highly overall correlated with `평균 기대수명` and 5 other fields	High correlation
`시도` is highly overall correlated with `적용기간`	High correlation
`적용기간` is highly imbalanced (77.0%)	Imbalance

Reproduction

Analysis started	2023-12-12 19:11:02.454636
Analysis finished	2023-12-12 19:11:11.267548
Duration	8.81 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

지표연도
Real number (ℝ)

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2015.0165

Minimum	2009
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	2009
5-th percentile	2009
Q1	2012
median	2015
Q3	2018
95-th percentile	2021
Maximum	2021
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.7402977
Coefficient of variation (CV)	0.0018562119
Kurtosis	-1.2156657
Mean	2015.0165
Median Absolute Deviation (MAD)	3
Skewness	-0.005121956
Sum	20150165
Variance	13.989827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2017	783	7.8%
2013	779	7.8%
2019	777	7.8%
2018	775	7.8%
2014	775	7.8%
2021	774	7.7%
2016	771	7.7%
2010	769	7.7%
2020	767	7.7%
2012	766	7.7%
Other values (3)	2264	22.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2009	758	7.6%
2010	769	7.7%
2011	765	7.6%
2012	766	7.7%
2013	779	7.8%
2014	775	7.8%
2015	741	7.4%
2016	771	7.7%
2017	783	7.8%
2018	775	7.8%

Value	Count	Frequency (%)
2021	774	7.7%
2020	767	7.7%
2019	777	7.8%
2018	775	7.8%
2017	783	7.8%
2016	771	7.7%
2015	741	7.4%
2014	775	7.8%
2013	779	7.8%
2012	766	7.7%

적용기간
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

6년	9357
4년	608
1년	35

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6년
2nd row	6년
3rd row	6년
4th row	6년
5th row	6년

Common Values

Value	Count	Frequency (%)
6년	9357	93.6%
4년	608	6.1%
1년	35	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
6년	9357	93.6%
4년	608	6.1%
1년	35	0.4%

성별
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

남성	3352
전체	3325
여성	3323

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	여성
2nd row	전체
3rd row	여성
4th row	여성
5th row	남성

Common Values

Value	Count	Frequency (%)
남성	3352	33.5%
전체	3325	33.2%
여성	3323	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
남성	3352	33.5%
전체	3325	33.2%
여성	3323	33.2%

시도
Categorical

HIGH CORRELATION

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

경기도	1691
서울특별시	956
경상북도	924
경상남도	869
전라남도	848
Other values (13)	4712

Length

Max length	7
Median length	5
Mean length	4.1022
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경기도
2nd row	충청남도
3rd row	충청남도
4th row	울산광역시
5th row	서울특별시

Common Values

Value	Count	Frequency (%)
경기도	1691	16.9%
서울특별시	956	9.6%
경상북도	924	9.2%
경상남도	869	8.7%
전라남도	848	8.5%
강원도	694	6.9%
충청남도	672	6.7%
부산광역시	632	6.3%
전라북도	581	5.8%
충청북도	533	5.3%
Other values (8)	1600	16.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
경기도	1691	16.9%
서울특별시	956	9.6%
경상북도	924	9.2%
경상남도	869	8.7%
전라남도	848	8.5%
강원도	694	6.9%
충청남도	672	6.7%
부산광역시	632	6.3%
전라북도	581	5.8%
충청북도	533	5.3%
Other values (8)	1600	16.0%

시군구
Text

Distinct	242
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	9
Median length	3
Mean length	3.3617
Min length	2

Characters and Unicode

Total characters	33617
Distinct characters	145
Distinct categories	2 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	시흥시
2nd row	논산시
3rd row	예산군
4th row	북구
5th row	강남구

Value	Count	Frequency (%)
전체	643	5.7%
중구	225	2.0%
남구	218	1.9%
동구	216	1.9%
북구	187	1.7%
서구	185	1.7%
창원시	162	1.4%
수원시	144	1.3%
용인시	121	1.1%
부천시	119	1.1%
Other values (238)	8973	80.2%

Most occurring characters

Value	Count	Frequency (%)
구	3927	11.7%
시	3733	11.1%
군	3224	9.6%
	1193	3.5%
천	940	2.8%
주	849	2.5%
산	834	2.5%
양	827	2.5%
성	768	2.3%
동	737	2.2%
Other values (135)	16585	49.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	32424	96.5%
Space Separator	1193	3.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	3927	12.1%
시	3733	11.5%
군	3224	9.9%
천	940	2.9%
주	849	2.6%
산	834	2.6%
양	827	2.6%
성	768	2.4%
동	737	2.3%
전	713	2.2%
Other values (134)	15872	49.0%

Space Separator

Value	Count	Frequency (%)
	1193	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	32424	96.5%
Common	1193	3.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	3927	12.1%
시	3733	11.5%
군	3224	9.9%
천	940	2.9%
주	849	2.6%
산	834	2.6%
양	827	2.6%
성	768	2.4%
동	737	2.3%
전	713	2.2%
Other values (134)	15872	49.0%

Common

Value	Count	Frequency (%)
	1193	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	32424	96.5%
ASCII	1193	3.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	3927	12.1%
시	3733	11.5%
군	3224	9.9%
천	940	2.9%
주	849	2.6%
산	834	2.6%
양	827	2.6%
성	768	2.4%
동	737	2.3%
전	713	2.2%
Other values (134)	15872	49.0%

ASCII

Value	Count	Frequency (%)
	1193	100.0%

평균 기대수명
Real number (ℝ)

HIGH CORRELATION

Distinct	1492
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.736263

Minimum	72.19
Maximum	89.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	72.19
5-th percentile	75.78
Q1	79.17
median	82.01
Q3	84.42
95-th percentile	86.82
Maximum	89.78
Range	17.59
Interquartile range (IQR)	5.25

Descriptive statistics

Standard deviation	3.417799
Coefficient of variation (CV)	0.041814965
Kurtosis	-0.74297237
Mean	81.736263
Median Absolute Deviation (MAD)	2.63
Skewness	-0.22833763
Sum	817362.63
Variance	11.68135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85.77	19	0.2%
83.28	18	0.2%
82.81	18	0.2%
82.23	18	0.2%
79.79	18	0.2%
83.44	18	0.2%
83.62	18	0.2%
80.44	17	0.2%
78.51	17	0.2%
82.49	17	0.2%
Other values (1482)	9822	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
72.19	1	< 0.1%
72.31	1	< 0.1%
72.5	1	< 0.1%
72.75	1	< 0.1%
72.77	1	< 0.1%
72.83	2	< 0.1%
72.86	1	< 0.1%
72.9	1	< 0.1%
72.93	1	< 0.1%
73.03	1	< 0.1%

Value	Count	Frequency (%)
89.78	1	< 0.1%
89.73	1	< 0.1%
89.54	1	< 0.1%
89.47	1	< 0.1%
89.38	1	< 0.1%
89.36	1	< 0.1%
89.24	1	< 0.1%
89.23	1	< 0.1%
89.22	1	< 0.1%
89.18	1	< 0.1%

보험료1분위
Real number (ℝ)

HIGH CORRELATION

Distinct	1937
Distinct (%)	19.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.574574

Minimum	63.57
Maximum	88.49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	63.57
5-th percentile	69.8595
Q1	74.2675
median	77.86
Q3	81.25
95-th percentile	84.14
Maximum	88.49
Range	24.92
Interquartile range (IQR)	6.9825

Descriptive statistics

Standard deviation	4.4990589
Coefficient of variation (CV)	0.057996566
Kurtosis	-0.6174733
Mean	77.574574
Median Absolute Deviation (MAD)	3.49
Skewness	-0.27255827
Sum	775745.74
Variance	20.241531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
79.82	21	0.2%
79.93	16	0.2%
76.34	16	0.2%
82.85	15	0.1%
81.32	15	0.1%
80.39	15	0.1%
82.78	15	0.1%
80.91	15	0.1%
81.75	14	0.1%
80.52	14	0.1%
Other values (1927)	9844	98.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
63.57	1	< 0.1%
63.79	1	< 0.1%
63.93	1	< 0.1%
64.13	2	< 0.1%
64.37	1	< 0.1%
64.47	1	< 0.1%
64.48	1	< 0.1%
64.68	1	< 0.1%
64.86	1	< 0.1%
65.01	1	< 0.1%

Value	Count	Frequency (%)
88.49	1	< 0.1%
88.21	1	< 0.1%
88.18	1	< 0.1%
88.12	1	< 0.1%
88.06	2	< 0.1%
87.96	1	< 0.1%
87.83	1	< 0.1%
87.79	1	< 0.1%
87.73	1	< 0.1%
87.67	1	< 0.1%

보험료2분위
Real number (ℝ)

HIGH CORRELATION

Distinct	1509
Distinct (%)	15.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.835852

Minimum	71.39
Maximum	95.53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	71.39
5-th percentile	76.02
Q1	79.42
median	82.04
Q3	84.42
95-th percentile	86.95
Maximum	95.53
Range	24.14
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3713738
Coefficient of variation (CV)	0.041196783
Kurtosis	-0.63577691
Mean	81.835852
Median Absolute Deviation (MAD)	2.5
Skewness	-0.1900829
Sum	818358.52
Variance	11.366162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83.59	22	0.2%
83.82	20	0.2%
84.81	20	0.2%
82.87	20	0.2%
80.57	20	0.2%
83.79	19	0.2%
79.52	19	0.2%
81.69	18	0.2%
82.32	18	0.2%
84.77	18	0.2%
Other values (1499)	9806	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
71.39	1	< 0.1%
71.79	1	< 0.1%
72.54	1	< 0.1%
72.59	1	< 0.1%
72.69	1	< 0.1%
72.77	1	< 0.1%
72.89	1	< 0.1%
72.92	1	< 0.1%
72.95	1	< 0.1%
73.09	1	< 0.1%

Value	Count	Frequency (%)
95.53	1	< 0.1%
91.92	1	< 0.1%
91.15	1	< 0.1%
90.57	1	< 0.1%
90.53	1	< 0.1%
90.5	1	< 0.1%
90.42	1	< 0.1%
90.26	1	< 0.1%
89.94	1	< 0.1%
89.9	1	< 0.1%

보험료3분위
Real number (ℝ)

HIGH CORRELATION

Distinct	1505
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.371513

Minimum	73.2
Maximum	94.52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	73.2
5-th percentile	76.7095
Q1	79.99
median	82.55
Q3	84.87
95-th percentile	87.5
Maximum	94.52
Range	21.32
Interquartile range (IQR)	4.88

Descriptive statistics

Standard deviation	3.3067715
Coefficient of variation (CV)	0.040144601
Kurtosis	-0.59284566
Mean	82.371513
Median Absolute Deviation (MAD)	2.44
Skewness	-0.1127158
Sum	823715.13
Variance	10.934738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80.98	24	0.2%
83.1	22	0.2%
79.36	21	0.2%
82.32	21	0.2%
83.36	20	0.2%
84.88	20	0.2%
83.65	19	0.2%
84.52	19	0.2%
83.95	19	0.2%
81.98	19	0.2%
Other values (1495)	9796	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
73.2	1	< 0.1%
73.27	1	< 0.1%
73.44	1	< 0.1%
73.66	1	< 0.1%
73.76	1	< 0.1%
73.79	1	< 0.1%
73.87	2	< 0.1%
73.89	1	< 0.1%
73.96	1	< 0.1%
74.04	1	< 0.1%

Value	Count	Frequency (%)
94.52	1	< 0.1%
93.08	1	< 0.1%
92.83	1	< 0.1%
92.7	1	< 0.1%
92.53	1	< 0.1%
91.63	1	< 0.1%
91.28	1	< 0.1%
91.11	1	< 0.1%
90.95	1	< 0.1%
90.88	1	< 0.1%

보험료4분위
Real number (ℝ)

HIGH CORRELATION

Distinct	1465
Distinct (%)	14.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83.240853

Minimum	74.08
Maximum	96.83
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	74.08
5-th percentile	77.84
Q1	80.98
median	83.4
Q3	85.56
95-th percentile	88.1605
Maximum	96.83
Range	22.75
Interquartile range (IQR)	4.58

Descriptive statistics

Standard deviation	3.1552358
Coefficient of variation (CV)	0.037904895
Kurtosis	-0.43265874
Mean	83.240853
Median Absolute Deviation (MAD)	2.28
Skewness	-0.083568586
Sum	832408.53
Variance	9.9555129
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
84.89	23	0.2%
85.28	23	0.2%
84.56	22	0.2%
85.27	21	0.2%
84.19	20	0.2%
84.76	20	0.2%
85.55	19	0.2%
84.52	19	0.2%
81.04	19	0.2%
84.31	19	0.2%
Other values (1455)	9795	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
74.08	1	< 0.1%
74.46	1	< 0.1%
74.55	1	< 0.1%
74.83	1	< 0.1%
74.88	2	< 0.1%
74.98	2	< 0.1%
75.07	1	< 0.1%
75.15	1	< 0.1%
75.16	1	< 0.1%
75.22	1	< 0.1%

Value	Count	Frequency (%)
96.83	1	< 0.1%
95.74	1	< 0.1%
95.17	1	< 0.1%
94.23	1	< 0.1%
94.13	1	< 0.1%
93.82	1	< 0.1%
93.48	1	< 0.1%
93.16	1	< 0.1%
93.11	1	< 0.1%
92.57	1	< 0.1%

보험료5분위
Real number (ℝ)

HIGH CORRELATION

Distinct	1525
Distinct (%)	15.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.786425

Minimum	74.47
Maximum	100.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	74.47
5-th percentile	79.36
Q1	82.38
median	84.88
Q3	87.13
95-th percentile	89.92
Maximum	100.65
Range	26.18
Interquartile range (IQR)	4.75

Descriptive statistics

Standard deviation	3.2786557
Coefficient of variation (CV)	0.038669583
Kurtosis	-0.23684024
Mean	84.786425
Median Absolute Deviation (MAD)	2.37
Skewness	0.036548801
Sum	847864.25
Variance	10.749583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85.39	22	0.2%
84.61	22	0.2%
85.92	21	0.2%
87.34	20	0.2%
84.86	20	0.2%
84.79	19	0.2%
85.26	19	0.2%
85.88	19	0.2%
86.9	18	0.2%
85.3	18	0.2%
Other values (1515)	9802	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
74.47	1	< 0.1%
75.46	1	< 0.1%
75.55	1	< 0.1%
75.79	1	< 0.1%
75.89	1	< 0.1%
76.19	1	< 0.1%
76.24	1	< 0.1%
76.32	1	< 0.1%
76.45	1	< 0.1%
76.48	1	< 0.1%

Value	Count	Frequency (%)
100.65	1	< 0.1%
99.01	1	< 0.1%
98.22	1	< 0.1%
98.21	1	< 0.1%
98.04	1	< 0.1%
97.9	1	< 0.1%
97.66	1	< 0.1%
97.15	1	< 0.1%
97.12	1	< 0.1%
96.84	1	< 0.1%

기대수명격차
Real number (ℝ)

HIGH CORRELATION

Distinct	1150
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.211868

Minimum	-3.83
Maximum	17.15
Zeros	0
Zeros (%)	0.0%
Negative	8
Negative (%)	0.1%
Memory size	166.0 KiB

Quantile statistics

Minimum	-3.83
5-th percentile	3.8895
Q1	5.77
median	7.14
Q3	8.56
95-th percentile	10.89
Maximum	17.15
Range	20.98
Interquartile range (IQR)	2.79

Descriptive statistics

Standard deviation	2.1558489
Coefficient of variation (CV)	0.29893073
Kurtosis	0.53255775
Mean	7.211868
Median Absolute Deviation (MAD)	1.4
Skewness	0.25160957
Sum	72118.68
Variance	4.6476847
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.3	31	0.3%
7.27	29	0.3%
5.94	28	0.3%
6.2	28	0.3%
7.56	28	0.3%
6.54	28	0.3%
6.56	28	0.3%
6.92	28	0.3%
5.9	27	0.3%
6.43	27	0.3%
Other values (1140)	9718	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.83	1	< 0.1%
-3.58	1	< 0.1%
-1.93	1	< 0.1%
-0.33	1	< 0.1%
-0.31	1	< 0.1%
-0.25	1	< 0.1%
-0.11	1	< 0.1%
-0.02	1	< 0.1%
0.18	1	< 0.1%
0.2	1	< 0.1%

Value	Count	Frequency (%)
17.15	1	< 0.1%
16.95	1	< 0.1%
16.25	1	< 0.1%
16.19	1	< 0.1%
15.72	1	< 0.1%
15.53	1	< 0.1%
15.41	1	< 0.1%
15.4	1	< 0.1%
15.38	1	< 0.1%
15.27	1	< 0.1%

Heatmap
Table

	지표연도	적용기간	성별	시도	평균 기대수명	보험료1분위	보험료2분위	보험료3분위	보험료4분위	보험료5분위	기대수명격차
지표연도	1.000	0.000	0.000	0.000	0.464	0.301	0.434	0.451	0.455	0.392	0.144
적용기간	0.000	1.000	0.000	0.931	0.064	0.076	0.049	0.042	0.048	0.052	0.125
성별	0.000	0.000	1.000	0.000	0.808	0.783	0.800	0.785	0.749	0.752	0.534
시도	0.000	0.931	0.000	1.000	0.265	0.355	0.197	0.205	0.236	0.255	0.404
평균 기대수명	0.464	0.064	0.808	0.265	1.000	0.936	0.940	0.929	0.927	0.916	0.582
보험료1분위	0.301	0.076	0.783	0.355	0.936	1.000	0.862	0.844	0.837	0.849	0.764
보험료2분위	0.434	0.049	0.800	0.197	0.940	0.862	1.000	0.902	0.891	0.886	0.518
보험료3분위	0.451	0.042	0.785	0.205	0.929	0.844	0.902	1.000	0.890	0.888	0.486
보험료4분위	0.455	0.048	0.749	0.236	0.927	0.837	0.891	0.890	1.000	0.868	0.474
보험료5분위	0.392	0.052	0.752	0.255	0.916	0.849	0.886	0.888	0.868	1.000	0.479
기대수명격차	0.144	0.125	0.534	0.404	0.582	0.764	0.518	0.486	0.474	0.479	1.000

Heatmap
Table

	시도	성별	적용기간
시도	1.000	0.000	0.724
성별	0.000	1.000	0.000
적용기간	0.724	0.000	1.000

Heatmap
Table

	지표연도	평균 기대수명	보험료1분위	보험료2분위	보험료3분위	보험료4분위	보험료5분위	기대수명격차	적용기간	성별	시도
지표연도	1.000	0.373	0.247	0.391	0.421	0.441	0.392	0.081	0.000	0.000	0.000
평균 기대수명	0.373	1.000	0.961	0.976	0.971	0.964	0.963	-0.561	0.038	0.702	0.104
보험료1분위	0.247	0.961	1.000	0.910	0.893	0.886	0.905	-0.730	0.045	0.667	0.144
보험료2분위	0.391	0.976	0.910	1.000	0.954	0.945	0.933	-0.502	0.029	0.690	0.076
보험료3분위	0.421	0.971	0.893	0.954	1.000	0.947	0.935	-0.465	0.025	0.668	0.079
보험료4분위	0.441	0.964	0.886	0.945	0.947	1.000	0.927	-0.463	0.029	0.619	0.092
보험료5분위	0.392	0.963	0.905	0.933	0.935	0.927	1.000	-0.398	0.031	0.624	0.100
기대수명격차	0.081	-0.561	-0.730	-0.502	-0.465	-0.463	-0.398	1.000	0.074	0.378	0.167
적용기간	0.000	0.038	0.045	0.029	0.025	0.029	0.031	0.074	1.000	0.000	0.724
성별	0.000	0.702	0.667	0.690	0.668	0.619	0.624	0.378	0.000	1.000	0.000
시도	0.000	0.104	0.144	0.076	0.079	0.092	0.100	0.167	0.724	0.000	1.000

Count
Matrix

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.

First rows
Last rows

	지표연도	적용기간	성별	시도	시군구	평균 기대수명	보험료1분위	보험료2분위	보험료3분위	보험료4분위	보험료5분위	기대수명격차
2779	2012	6년	여성	경기도	시흥시	83.84	81.75	83.82	84.16	84.05	85.82	4.07
10310	2021	6년	전체	충청남도	논산시	82.96	76.88	83.64	84.33	85.44	85.77	8.89
7882	2018	6년	여성	충청남도	예산군	87.37	84.52	87.0	88.32	88.22	89.26	4.73
5170	2015	6년	여성	울산광역시	북구	83.83	82.76	84.51	82.8	82.66	89.22	6.46
3369	2013	6년	남성	서울특별시	강남구	82.57	79.34	82.39	82.17	84.04	85.69	6.36
5474	2015	6년	전체	전라북도	부안군	81.01	74.74	82.18	81.98	83.92	83.41	8.67
1517	2010	6년	전체	경상북도	청송군	78.16	72.1	79.29	79.22	78.88	83.0	10.9
10185	2021	6년	남성	경기도	연천군	78.59	72.15	78.74	79.99	81.1	83.13	10.98
8578	2019	6년	여성	강원도	삼척시	86.41	81.9	87.18	86.14	88.68	89.52	7.61
9694	2020	6년	여성	경상북도	예천군	89.38	84.82	89.75	88.38	91.28	94.35	9.53

	지표연도	적용기간	성별	시도	시군구	평균 기대수명	보험료1분위	보험료2분위	보험료3분위	보험료4분위	보험료5분위	기대수명격차
8410	2019	6년	여성	울산광역시	남구	85.29	83.63	84.67	84.81	85.9	88.25	4.62
6407	2016	6년	전체	경상북도	청도군	81.56	77.03	82.71	82.97	82.32	83.84	6.81
564	2009	6년	남성	전라북도	군산시	75.65	70.24	75.18	76.67	78.3	79.03	8.79
1074	2010	6년	남성	울산광역시	북구	76.38	73.25	76.87	76.64	75.98	80.27	7.02
8500	2019	6년	여성	경기도	오산시	86.06	83.6	85.68	86.12	87.52	87.73	4.13
6178	2016	6년	여성	충청북도	증평군	83.88	79.43	85.76	83.8	86.24	85.33	5.9
5657	2015	6년	전체	경상남도	남해군	80.79	75.51	81.0	81.8	82.5	84.22	8.71
9546	2020	6년	남성	전라북도	진안군	79.18	74.36	76.11	82.05	83.85	82.35	7.99
4153	2014	6년	여성	서울특별시	강북구	86.38	84.4	85.84	86.2	86.84	88.91	4.51
3207	2012	6년	남성	경상남도	거제시	76.45	71.29	77.09	76.38	78.93	79.91	8.63

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample