gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	49
Missing cells	3
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.3 KiB
Average record size in memory	172.7 B

Variable types

Text	1
Numeric	18

Dataset

Description	연령별(38세 미만 ~ 85세 이상) 지역별(광역시, 도) 구분 퇴직연금수급자 현황에 대한 데이터입니다. 38세 미만부터 시작됩니다.
URL	https://www.data.go.kr/data/15054100/fileData.do

Alerts

`계` is highly overall correlated with `서울` and 16 other fields	High correlation
`서울` is highly overall correlated with `계` and 16 other fields	High correlation
`부산` is highly overall correlated with `계` and 16 other fields	High correlation
`대구` is highly overall correlated with `계` and 16 other fields	High correlation
`인천` is highly overall correlated with `계` and 16 other fields	High correlation
`광주` is highly overall correlated with `계` and 16 other fields	High correlation
`대전` is highly overall correlated with `계` and 16 other fields	High correlation
`세종` is highly overall correlated with `계` and 16 other fields	High correlation
`울산` is highly overall correlated with `계` and 16 other fields	High correlation
`경기` is highly overall correlated with `계` and 16 other fields	High correlation
`강원` is highly overall correlated with `계` and 16 other fields	High correlation
`충북` is highly overall correlated with `계` and 16 other fields	High correlation
`충남` is highly overall correlated with `계` and 16 other fields	High correlation
`경북` is highly overall correlated with `계` and 16 other fields	High correlation
`경남` is highly overall correlated with `계` and 16 other fields	High correlation
`전북` is highly overall correlated with `계` and 16 other fields	High correlation
`전남` is highly overall correlated with `계` and 16 other fields	High correlation
`제주` is highly overall correlated with `계` and 16 other fields	High correlation
`울산` has 1 (2.0%) missing values	Missing
`충남` has 1 (2.0%) missing values	Missing
`경북` has 1 (2.0%) missing values	Missing
`구분` has unique values	Unique
`계` has unique values	Unique
`서울` has unique values	Unique
`경기` has unique values	Unique

Reproduction

Analysis started	2023-12-12 18:32:08.940629
Analysis finished	2023-12-12 18:32:46.295864
Duration	37.36 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Text

UNIQUE

Distinct	49
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	524.0 B

Length

Max length	5
Median length	3
Mean length	3.122449
Min length	3

Characters and Unicode

Total characters	153
Distinct characters	15
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	49 ?
Unique (%)	100.0%

Sample

1st row	38세미만
2nd row	38세이상
3rd row	39세
4th row	40세
5th row	41세

Value	Count	Frequency (%)
38세미만	1	2.0%
62세	1	2.0%
64세	1	2.0%
65세	1	2.0%
66세	1	2.0%
67세	1	2.0%
68세	1	2.0%
69세	1	2.0%
70세	1	2.0%
71세	1	2.0%
Other values (39)	39	79.6%

Most occurring characters

Value	Count	Frequency (%)
세	49	32.0%
4	15	9.8%
5	15	9.8%
6	14	9.2%
7	14	9.2%
8	12	7.8%
3	8	5.2%
9	5	3.3%
0	5	3.3%
1	5	3.3%
Other values (5)	11	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	98	64.1%
Other Letter	55	35.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	15	15.3%
5	15	15.3%
6	14	14.3%
7	14	14.3%
8	12	12.2%
3	8	8.2%
9	5	5.1%
0	5	5.1%
1	5	5.1%
2	5	5.1%

Other Letter

Value	Count	Frequency (%)
세	49	89.1%
이	2	3.6%
상	2	3.6%
미	1	1.8%
만	1	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	98	64.1%
Hangul	55	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	15	15.3%
5	15	15.3%
6	14	14.3%
7	14	14.3%
8	12	12.2%
3	8	8.2%
9	5	5.1%
0	5	5.1%
1	5	5.1%
2	5	5.1%

Hangul

Value	Count	Frequency (%)
세	49	89.1%
이	2	3.6%
상	2	3.6%
미	1	1.8%
만	1	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98	64.1%
Hangul	55	35.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
세	49	89.1%
이	2	3.6%
상	2	3.6%
미	1	1.8%
만	1	1.8%

ASCII

Value	Count	Frequency (%)
4	15	15.3%
5	15	15.3%
6	14	14.3%
7	14	14.3%
8	12	12.2%
3	8	8.2%
9	5	5.1%
0	5	5.1%
1	5	5.1%
2	5	5.1%

계
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	49
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11143.061

Minimum	104
Maximum	32004
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	104
5-th percentile	216.8
Q1	1522
median	8525
Q3	16919
95-th percentile	30099.2
Maximum	32004
Range	31900
Interquartile range (IQR)	15397

Descriptive statistics

Standard deviation	10453.176
Coefficient of variation (CV)	0.93808839
Kurtosis	-0.88973665
Mean	11143.061
Median Absolute Deviation (MAD)	7656
Skewness	0.67710385
Sum	546010
Variance	1.092689 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
139	1	2.0%
15925	1	2.0%
28669	1	2.0%
30056	1	2.0%
28256	1	2.0%
28376	1	2.0%
23383	1	2.0%
20472	1	2.0%
22338	1	2.0%
16156	1	2.0%
Other values (39)	39	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104	1	2.0%
139	1	2.0%
180	1	2.0%
272	1	2.0%
359	1	2.0%
436	1	2.0%
482	1	2.0%
509	1	2.0%
589	1	2.0%
710	1	2.0%

Value	Count	Frequency (%)
32004	1	2.0%
30632	1	2.0%
30128	1	2.0%
30056	1	2.0%
28669	1	2.0%
28376	1	2.0%
28256	1	2.0%
25621	1	2.0%
23383	1	2.0%
22858	1	2.0%

서울
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	49
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1953.2041

Minimum	22
Maximum	5206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	22
5-th percentile	53.6
Q1	262
median	1617
Q3	3005
95-th percentile	5044.2
Maximum	5206
Range	5184
Interquartile range (IQR)	2743

Descriptive statistics

Standard deviation	1769.9828
Coefficient of variation (CV)	0.90619448
Kurtosis	-1.0660011
Mean	1953.2041
Median Absolute Deviation (MAD)	1388
Skewness	0.58940683
Sum	95707
Variance	3132839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
41	1	2.0%
2764	1	2.0%
4818	1	2.0%
5206	1	2.0%
4821	1	2.0%
5091	1	2.0%
4164	1	2.0%
3778	1	2.0%
4143	1	2.0%
2728	1	2.0%
Other values (39)	39	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	1	2.0%
41	1	2.0%
50	1	2.0%
59	1	2.0%
97	1	2.0%
111	1	2.0%
112	1	2.0%
130	1	2.0%
151	1	2.0%
175	1	2.0%

Value	Count	Frequency (%)
5206	1	2.0%
5091	1	2.0%
5053	1	2.0%
5031	1	2.0%
4821	1	2.0%
4818	1	2.0%
4686	1	2.0%
4584	1	2.0%
4164	1	2.0%
4143	1	2.0%

부산
Real number (ℝ)

HIGH CORRELATION

Distinct	48
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	757.71429

Minimum	6
Maximum	2130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	6
5-th percentile	13.2
Q1	87
median	624
Q3	1207
95-th percentile	2080.4
Maximum	2130
Range	2124
Interquartile range (IQR)	1120

Descriptive statistics

Standard deviation	710.00701
Coefficient of variation (CV)	0.93703791
Kurtosis	-0.7916967
Mean	757.71429
Median Absolute Deviation (MAD)	542
Skewness	0.69937907
Sum	37128
Variance	504109.96
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1424	2	4.1%
6	1	2.0%
2130	1	2.0%
2002	1	2.0%
2120	1	2.0%
2078	1	2.0%
2082	1	2.0%
1699	1	2.0%
1207	1	2.0%
1056	1	2.0%
Other values (38)	38	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	2.0%
9	1	2.0%
10	1	2.0%
18	1	2.0%
25	1	2.0%
26	1	2.0%
30	1	2.0%
32	1	2.0%
36	1	2.0%
38	1	2.0%

Value	Count	Frequency (%)
2130	1	2.0%
2120	1	2.0%
2082	1	2.0%
2078	1	2.0%
2011	1	2.0%
2002	1	2.0%
1884	1	2.0%
1699	1	2.0%
1677	1	2.0%
1424	2	4.1%

대구
Real number (ℝ)

HIGH CORRELATION

Distinct	44
Distinct (%)	89.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	591.81633

Minimum	3
Maximum	1630
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	3
5-th percentile	15
Q1	70
median	501
Q3	990
95-th percentile	1489.6
Maximum	1630
Range	1627
Interquartile range (IQR)	920

Descriptive statistics

Standard deviation	525.44305
Coefficient of variation (CV)	0.88784819
Kurtosis	-1.1334917
Mean	591.81633
Median Absolute Deviation (MAD)	466
Skewness	0.46500094
Sum	28999
Variance	276090.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
15	3	6.1%
3	2	4.1%
22	2	4.1%
597	2	4.1%
987	1	2.0%
1307	1	2.0%
1020	1	2.0%
1041	1	2.0%
1111	1	2.0%
938	1	2.0%
Other values (34)	34	69.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	4.1%
15	3	6.1%
21	1	2.0%
22	2	4.1%
24	1	2.0%
25	1	2.0%
35	1	2.0%
52	1	2.0%
70	1	2.0%
80	1	2.0%

Value	Count	Frequency (%)
1630	1	2.0%
1550	1	2.0%
1512	1	2.0%
1456	1	2.0%
1425	1	2.0%
1348	1	2.0%
1307	1	2.0%
1298	1	2.0%
1272	1	2.0%
1111	1	2.0%

인천
Real number (ℝ)

HIGH CORRELATION

Distinct	43
Distinct (%)	87.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	390.5102

Minimum	6
Maximum	1351
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	6
5-th percentile	8.4
Q1	69
median	269
Q3	532
95-th percentile	1168.2
Maximum	1351
Range	1345
Interquartile range (IQR)	463

Descriptive statistics

Standard deviation	393.76993
Coefficient of variation (CV)	1.0083473
Kurtosis	-0.13469039
Mean	390.5102
Median Absolute Deviation (MAD)	233
Skewness	1.0027872
Sum	19135
Variance	155054.76
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
6	3	6.1%
13	2	4.1%
22	2	4.1%
478	2	4.1%
162	2	4.1%
489	1	2.0%
985	1	2.0%
830	1	2.0%
667	1	2.0%
774	1	2.0%
Other values (33)	33	67.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	3	6.1%
12	1	2.0%
13	2	4.1%
22	2	4.1%
23	1	2.0%
31	1	2.0%
36	1	2.0%
38	1	2.0%
69	1	2.0%
79	1	2.0%

Value	Count	Frequency (%)
1351	1	2.0%
1249	1	2.0%
1201	1	2.0%
1119	1	2.0%
1064	1	2.0%
1033	1	2.0%
1020	1	2.0%
985	1	2.0%
830	1	2.0%
774	1	2.0%

광주
Real number (ℝ)

HIGH CORRELATION

Distinct	46
Distinct (%)	93.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	480.65306

Minimum	1
Maximum	1235
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	1
5-th percentile	5.4
Q1	36
median	408
Q3	905
95-th percentile	1168
Maximum	1235
Range	1234
Interquartile range (IQR)	869

Descriptive statistics

Standard deviation	436.09792
Coefficient of variation (CV)	0.90730291
Kurtosis	-1.5182087
Mean	480.65306
Median Absolute Deviation (MAD)	389
Skewness	0.30632198
Sum	23552
Variance	190181.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
994	2	4.1%
9	2	4.1%
26	2	4.1%
3	1	2.0%
737	1	2.0%
1207	1	2.0%
943	1	2.0%
905	1	2.0%
1036	1	2.0%
841	1	2.0%
Other values (36)	36	73.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.0%
3	1	2.0%
5	1	2.0%
6	1	2.0%
7	1	2.0%
9	2	4.1%
18	1	2.0%
19	1	2.0%
26	2	4.1%
35	1	2.0%

Value	Count	Frequency (%)
1235	1	2.0%
1207	1	2.0%
1194	1	2.0%
1129	1	2.0%
1123	1	2.0%
1042	1	2.0%
1036	1	2.0%
994	2	4.1%
969	1	2.0%
943	1	2.0%

대전
Real number (ℝ)

HIGH CORRELATION

Distinct	48
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	457.97959

Minimum	5
Maximum	1162
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	5
5-th percentile	9
Q1	129
median	383
Q3	776
95-th percentile	1128.8
Maximum	1162
Range	1157
Interquartile range (IQR)	647

Descriptive statistics

Standard deviation	385.24016
Coefficient of variation (CV)	0.8411732
Kurtosis	-1.1083729
Mean	457.97959
Median Absolute Deviation (MAD)	332
Skewness	0.49879507
Sum	22441
Variance	148409.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
9	2	4.1%
715	1	2.0%
1033	1	2.0%
1118	1	2.0%
1048	1	2.0%
1005	1	2.0%
894	1	2.0%
801	1	2.0%
811	1	2.0%
624	1	2.0%
Other values (38)	38	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	2.0%
8	1	2.0%
9	2	4.1%
21	1	2.0%
24	1	2.0%
27	1	2.0%
29	1	2.0%
42	1	2.0%
51	1	2.0%
60	1	2.0%

Value	Count	Frequency (%)
1162	1	2.0%
1137	1	2.0%
1136	1	2.0%
1118	1	2.0%
1070	1	2.0%
1048	1	2.0%
1033	1	2.0%
1005	1	2.0%
990	1	2.0%
894	1	2.0%

세종
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	83.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.081633

Minimum	2
Maximum	338
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	2
5-th percentile	6.4
Q1	19
median	44
Q3	118
95-th percentile	305
Maximum	338
Range	336
Interquartile range (IQR)	99

Descriptive statistics

Standard deviation	96.196595
Coefficient of variation (CV)	1.1046715
Kurtosis	0.86503926
Mean	87.081633
Median Absolute Deviation (MAD)	34
Skewness	1.4163982
Sum	4267
Variance	9253.7849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
44	3	6.1%
7	2	4.1%
10	2	4.1%
11	2	4.1%
19	2	4.1%
27	2	4.1%
305	2	4.1%
5	1	2.0%
41	1	2.0%
118	1	2.0%
Other values (31)	31	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	2.0%
5	1	2.0%
6	1	2.0%
7	2	4.1%
8	1	2.0%
10	2	4.1%
11	2	4.1%
17	1	2.0%
19	2	4.1%
22	1	2.0%

Value	Count	Frequency (%)
338	1	2.0%
322	1	2.0%
305	2	4.1%
267	1	2.0%
261	1	2.0%
227	1	2.0%
209	1	2.0%
165	1	2.0%
155	1	2.0%
135	1	2.0%

울산
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	43
Distinct (%)	89.6%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.8125

Minimum	2
Maximum	453
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	2
5-th percentile	3.7
Q1	21.75
median	69
Q3	180
95-th percentile	382.3
Maximum	453
Range	451
Interquartile range (IQR)	158.25

Descriptive statistics

Standard deviation	134.43066
Coefficient of variation (CV)	1.0685
Kurtosis	-0.00042400266
Mean	125.8125
Median Absolute Deviation (MAD)	60.5
Skewness	1.1045464
Sum	6039
Variance	18071.602
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
5	3	6.1%
9	2	4.1%
38	2	4.1%
2	2	4.1%
94	1	2.0%
156	1	2.0%
373	1	2.0%
324	1	2.0%
262	1	2.0%
246	1	2.0%
Other values (33)	33	67.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	4.1%
3	1	2.0%
5	3	6.1%
8	1	2.0%
9	2	4.1%
10	1	2.0%
12	1	2.0%
15	1	2.0%
24	1	2.0%
26	1	2.0%

Value	Count	Frequency (%)
453	1	2.0%
440	1	2.0%
383	1	2.0%
381	1	2.0%
373	1	2.0%
349	1	2.0%
332	1	2.0%
324	1	2.0%
262	1	2.0%
246	1	2.0%

경기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	49
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2132.7143

Minimum	28
Maximum	6860
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	28
5-th percentile	53.8
Q1	355
median	1590
Q3	2876
95-th percentile	6061
Maximum	6860
Range	6832
Interquartile range (IQR)	2521

Descriptive statistics

Standard deviation	2062.2847
Coefficient of variation (CV)	0.96697655
Kurtosis	-0.42301541
Mean	2132.7143
Median Absolute Deviation (MAD)	1286
Skewness	0.88887227
Sum	104503
Variance	4253018.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
39	1	2.0%
2615	1	2.0%
5851	1	2.0%
5760	1	2.0%
5307	1	2.0%
5258	1	2.0%
4276	1	2.0%
3700	1	2.0%
4071	1	2.0%
2606	1	2.0%
Other values (39)	39	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28	1	2.0%
39	1	2.0%
45	1	2.0%
67	1	2.0%
93	1	2.0%
97	1	2.0%
135	1	2.0%
141	1	2.0%
145	1	2.0%
163	1	2.0%

Value	Count	Frequency (%)
6860	1	2.0%
6391	1	2.0%
6201	1	2.0%
5851	1	2.0%
5760	1	2.0%
5635	1	2.0%
5307	1	2.0%
5258	1	2.0%
4367	1	2.0%
4276	1	2.0%

강원
Real number (ℝ)

HIGH CORRELATION

Distinct	47
Distinct (%)	95.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	605.02041

Minimum	2
Maximum	1798
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	2
5-th percentile	4.8
Q1	69
median	510
Q3	780
95-th percentile	1690.8
Maximum	1798
Range	1796
Interquartile range (IQR)	711

Descriptive statistics

Standard deviation	585.6381
Coefficient of variation (CV)	0.9679642
Kurtosis	-0.7122867
Mean	605.02041
Median Absolute Deviation (MAD)	441
Skewness	0.76424326
Sum	29646
Variance	342971.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
4	2	4.1%
1629	2	4.1%
2	1	2.0%
1722	1	2.0%
1798	1	2.0%
1326	1	2.0%
1147	1	2.0%
1331	1	2.0%
653	1	2.0%
717	1	2.0%
Other values (37)	37	75.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	2.0%
4	2	4.1%
6	1	2.0%
7	1	2.0%
12	1	2.0%
21	1	2.0%
22	1	2.0%
23	1	2.0%
24	1	2.0%
28	1	2.0%

Value	Count	Frequency (%)
1798	1	2.0%
1732	1	2.0%
1722	1	2.0%
1644	1	2.0%
1629	2	4.1%
1575	1	2.0%
1337	1	2.0%
1331	1	2.0%
1326	1	2.0%
1268	1	2.0%

충북
Real number (ℝ)

HIGH CORRELATION

Distinct	45
Distinct (%)	91.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	471.4898

Minimum	2
Maximum	1287
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	2
5-th percentile	6.2
Q1	77
median	364
Q3	719
95-th percentile	1241.6
Maximum	1287
Range	1285
Interquartile range (IQR)	642

Descriptive statistics

Standard deviation	439.85448
Coefficient of variation (CV)	0.9329035
Kurtosis	-1.0094223
Mean	471.4898
Median Absolute Deviation (MAD)	317
Skewness	0.63577386
Sum	23103
Variance	193471.96
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
11	3	6.1%
3	2	4.1%
14	2	4.1%
505	1	2.0%
1242	1	2.0%
1054	1	2.0%
911	1	2.0%
1010	1	2.0%
681	1	2.0%
652	1	2.0%
Other values (35)	35	71.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	2.0%
3	2	4.1%
11	3	6.1%
13	1	2.0%
14	2	4.1%
17	1	2.0%
39	1	2.0%
57	1	2.0%
77	1	2.0%
90	1	2.0%

Value	Count	Frequency (%)
1287	1	2.0%
1277	1	2.0%
1242	1	2.0%
1241	1	2.0%
1195	1	2.0%
1188	1	2.0%
1156	1	2.0%
1079	1	2.0%
1070	1	2.0%
1054	1	2.0%

충남
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	44
Distinct (%)	91.7%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	456

Minimum	4
Maximum	1391
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	4
5-th percentile	7.05
Q1	53.5
median	324.5
Q3	752
95-th percentile	1228.6
Maximum	1391
Range	1387
Interquartile range (IQR)	698.5

Descriptive statistics

Standard deviation	437.18091
Coefficient of variation (CV)	0.95873007
Kurtosis	-0.75652145
Mean	456
Median Absolute Deviation (MAD)	308.5
Skewness	0.72903512
Sum	21888
Variance	191127.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
9	2	4.1%
4	2	4.1%
14	2	4.1%
23	2	4.1%
6	1	2.0%
481	1	2.0%
767	1	2.0%
841	1	2.0%
633	1	2.0%
747	1	2.0%
Other values (34)	34	69.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	4.1%
6	1	2.0%
9	2	4.1%
14	2	4.1%
16	1	2.0%
23	2	4.1%
26	1	2.0%
43	1	2.0%
57	1	2.0%
85	1	2.0%

Value	Count	Frequency (%)
1391	1	2.0%
1364	1	2.0%
1237	1	2.0%
1213	1	2.0%
1169	1	2.0%
1159	1	2.0%
1114	1	2.0%
1083	1	2.0%
958	1	2.0%
903	1	2.0%

경북
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	48
Distinct (%)	100.0%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	683.83333

Minimum	3
Maximum	2023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	3
5-th percentile	9.35
Q1	110.5
median	471.5
Q3	1126.75
95-th percentile	1920.65
Maximum	2023
Range	2020
Interquartile range (IQR)	1016.25

Descriptive statistics

Standard deviation	661.27965
Coefficient of variation (CV)	0.96701875
Kurtosis	-0.82825697
Mean	683.83333
Median Absolute Deviation (MAD)	445
Skewness	0.7471667
Sum	32824
Variance	437290.78
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
3	1	2.0%
2004	1	2.0%
1920	1	2.0%
1778	1	2.0%
1695	1	2.0%
1441	1	2.0%
1317	1	2.0%
1455	1	2.0%
1116	1	2.0%
1053	1	2.0%
Other values (38)	38	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	2.0%
7	1	2.0%
9	1	2.0%
10	1	2.0%
11	1	2.0%
13	1	2.0%
16	1	2.0%
21	1	2.0%
32	1	2.0%
54	1	2.0%

Value	Count	Frequency (%)
2023	1	2.0%
2004	1	2.0%
1921	1	2.0%
1920	1	2.0%
1778	1	2.0%
1695	1	2.0%
1666	1	2.0%
1609	1	2.0%
1455	1	2.0%
1441	1	2.0%

경남
Real number (ℝ)

HIGH CORRELATION

Distinct	47
Distinct (%)	95.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	744.08163

Minimum	4
Maximum	2235
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	4
5-th percentile	9.2
Q1	58
median	551
Q3	1190
95-th percentile	2123.6
Maximum	2235
Range	2231
Interquartile range (IQR)	1132

Descriptive statistics

Standard deviation	739.3328
Coefficient of variation (CV)	0.99361786
Kurtosis	-0.76139136
Mean	744.08163
Median Absolute Deviation (MAD)	532
Skewness	0.75165877
Sum	36460
Variance	546612.99
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
4	2	4.1%
19	2	4.1%
1038	1	2.0%
2160	1	2.0%
1957	1	2.0%
1671	1	2.0%
1378	1	2.0%
1504	1	2.0%
1191	1	2.0%
1190	1	2.0%
Other values (37)	37	75.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	4.1%
8	1	2.0%
11	1	2.0%
15	1	2.0%
16	1	2.0%
18	1	2.0%
19	2	4.1%
25	1	2.0%
29	1	2.0%
43	1	2.0%

Value	Count	Frequency (%)
2235	1	2.0%
2160	1	2.0%
2134	1	2.0%
2108	1	2.0%
2086	1	2.0%
2009	1	2.0%
1957	1	2.0%
1717	1	2.0%
1671	1	2.0%
1504	1	2.0%

전북
Real number (ℝ)

HIGH CORRELATION

Distinct	48
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	586.57143

Minimum	1
Maximum	1686
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	1
5-th percentile	5.8
Q1	45
median	412
Q3	1109
95-th percentile	1491.8
Maximum	1686
Range	1685
Interquartile range (IQR)	1064

Descriptive statistics

Standard deviation	560.69637
Coefficient of variation (CV)	0.95588762
Kurtosis	-1.3128128
Mean	586.57143
Median Absolute Deviation (MAD)	398
Skewness	0.47307052
Sum	28742
Variance	314380.42
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
5	2	4.1%
1566	1	2.0%
1495	1	2.0%
1400	1	2.0%
1421	1	2.0%
1252	1	2.0%
1087	1	2.0%
1176	1	2.0%
1122	1	2.0%
1125	1	2.0%
Other values (38)	38	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.0%
5	2	4.1%
7	1	2.0%
11	1	2.0%
13	1	2.0%
14	1	2.0%
15	1	2.0%
16	1	2.0%
17	1	2.0%
18	1	2.0%

Value	Count	Frequency (%)
1686	1	2.0%
1566	1	2.0%
1495	1	2.0%
1487	1	2.0%
1421	1	2.0%
1400	1	2.0%
1364	1	2.0%
1362	1	2.0%
1252	1	2.0%
1176	1	2.0%

전남
Real number (ℝ)

HIGH CORRELATION

Distinct	47
Distinct (%)	95.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	471.20408

Minimum	2
Maximum	1407
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	2
5-th percentile	4.4
Q1	49
median	318
Q3	835
95-th percentile	1316.8
Maximum	1407
Range	1405
Interquartile range (IQR)	786

Descriptive statistics

Standard deviation	467.13176
Coefficient of variation (CV)	0.99135763
Kurtosis	-0.90580296
Mean	471.20408
Median Absolute Deviation (MAD)	305
Skewness	0.70398343
Sum	23089
Variance	218212.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
5	2	4.1%
4	2	4.1%
723	1	2.0%
1220	1	2.0%
1338	1	2.0%
1087	1	2.0%
875	1	2.0%
967	1	2.0%
854	1	2.0%
816	1	2.0%
Other values (37)	37	75.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	2.0%
4	2	4.1%
5	2	4.1%
10	1	2.0%
13	1	2.0%
15	1	2.0%
16	1	2.0%
20	1	2.0%
26	1	2.0%
39	1	2.0%

Value	Count	Frequency (%)
1407	1	2.0%
1393	1	2.0%
1338	1	2.0%
1285	1	2.0%
1260	1	2.0%
1234	1	2.0%
1220	1	2.0%
1087	1	2.0%
1024	1	2.0%
967	1	2.0%

제주
Real number (ℝ)

HIGH CORRELATION

Distinct	40
Distinct (%)	81.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	173.20408

Minimum	1
Maximum	562
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	573.0 B

Quantile statistics

Minimum	1
5-th percentile	2
Q1	17
median	97
Q3	257
95-th percentile	541
Maximum	562
Range	561
Interquartile range (IQR)	240

Descriptive statistics

Standard deviation	183.4313
Coefficient of variation (CV)	1.0590472
Kurtosis	-0.27454837
Mean	173.20408
Median Absolute Deviation (MAD)	90
Skewness	0.99000799
Sum	8487
Variance	33647.041
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
1	2	4.1%
10	2	4.1%
12	2	4.1%
7	2	4.1%
244	2	4.1%
2	2	4.1%
25	2	4.1%
43	2	4.1%
129	2	4.1%
203	1	2.0%
Other values (30)	30	61.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	4.1%
2	2	4.1%
4	1	2.0%
7	2	4.1%
10	2	4.1%
12	2	4.1%
14	1	2.0%
17	1	2.0%
20	1	2.0%
25	2	4.1%

Value	Count	Frequency (%)
562	1	2.0%
551	1	2.0%
549	1	2.0%
529	1	2.0%
523	1	2.0%
522	1	2.0%
512	1	2.0%
414	1	2.0%
351	1	2.0%
322	1	2.0%

Phik (φk)
Auto

Heatmap
Table

	구분	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
구분	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
계	1.000	1.000	0.911	0.985	0.956	0.955	0.892	0.947	0.820	0.855	0.978	0.938	0.944	0.966	0.982	0.988	0.906	0.964	0.896
서울	1.000	0.911	1.000	0.929	0.920	0.843	0.858	0.884	0.733	0.938	0.854	0.972	0.984	0.889	0.913	0.900	0.869	0.927	0.951
부산	1.000	0.985	0.929	1.000	0.949	0.964	0.872	0.943	0.745	0.816	0.957	0.927	0.905	0.955	0.956	0.966	0.906	0.975	0.916
대구	1.000	0.956	0.920	0.949	1.000	0.933	0.940	0.984	0.722	0.883	0.946	0.899	0.906	0.946	0.926	0.933	0.947	0.950	0.850
인천	1.000	0.955	0.843	0.964	0.933	1.000	0.868	0.927	0.799	0.888	0.983	0.879	0.840	0.962	0.957	0.950	0.955	0.939	0.881
광주	1.000	0.892	0.858	0.872	0.940	0.868	1.000	0.931	0.511	0.721	0.816	0.698	0.770	0.909	0.875	0.863	0.955	0.899	0.816
대전	1.000	0.947	0.884	0.943	0.984	0.927	0.931	1.000	0.771	0.838	0.925	0.804	0.873	0.937	0.936	0.960	0.959	0.956	0.894
세종	1.000	0.820	0.733	0.745	0.722	0.799	0.511	0.771	1.000	0.822	0.876	0.676	0.802	0.792	0.820	0.816	0.778	0.747	0.753
울산	1.000	0.855	0.938	0.816	0.883	0.888	0.721	0.838	0.822	1.000	0.873	0.922	0.940	0.856	0.883	0.900	0.849	0.901	0.926
경기	1.000	0.978	0.854	0.957	0.946	0.983	0.816	0.925	0.876	0.873	1.000	0.885	0.881	0.986	0.969	0.964	0.933	0.936	0.890
강원	1.000	0.938	0.972	0.927	0.899	0.879	0.698	0.804	0.676	0.922	0.885	1.000	0.973	0.914	0.917	0.871	0.828	0.884	0.939
충북	1.000	0.944	0.984	0.905	0.906	0.840	0.770	0.873	0.802	0.940	0.881	0.973	1.000	0.872	0.929	0.912	0.845	0.898	0.944
충남	1.000	0.966	0.889	0.955	0.946	0.962	0.909	0.937	0.792	0.856	0.986	0.914	0.872	1.000	0.971	0.949	0.916	0.943	0.838
경북	1.000	0.982	0.913	0.956	0.926	0.957	0.875	0.936	0.820	0.883	0.969	0.917	0.929	0.971	1.000	0.975	0.918	0.953	0.904
경남	1.000	0.988	0.900	0.966	0.933	0.950	0.863	0.960	0.816	0.900	0.964	0.871	0.912	0.949	0.975	1.000	0.941	0.988	0.903
전북	1.000	0.906	0.869	0.906	0.947	0.955	0.955	0.959	0.778	0.849	0.933	0.828	0.845	0.916	0.918	0.941	1.000	0.951	0.892
전남	1.000	0.964	0.927	0.975	0.950	0.939	0.899	0.956	0.747	0.901	0.936	0.884	0.898	0.943	0.953	0.988	0.951	1.000	0.899
제주	1.000	0.896	0.951	0.916	0.850	0.881	0.816	0.894	0.753	0.926	0.890	0.939	0.944	0.838	0.904	0.903	0.892	0.899	1.000

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
계	1.000	0.995	0.994	0.991	0.994	0.977	0.990	0.838	0.970	0.996	0.991	0.992	0.997	0.993	0.993	0.988	0.993	0.992
서울	0.995	1.000	0.994	0.992	0.984	0.986	0.990	0.814	0.957	0.988	0.990	0.992	0.989	0.986	0.988	0.989	0.988	0.987
부산	0.994	0.994	1.000	0.984	0.990	0.971	0.981	0.851	0.977	0.993	0.987	0.989	0.992	0.993	0.993	0.981	0.991	0.989
대구	0.991	0.992	0.984	1.000	0.980	0.983	0.995	0.795	0.946	0.986	0.985	0.987	0.988	0.982	0.980	0.986	0.976	0.983
인천	0.994	0.984	0.990	0.980	1.000	0.960	0.979	0.865	0.981	0.996	0.985	0.982	0.995	0.991	0.987	0.972	0.989	0.988
광주	0.977	0.986	0.971	0.983	0.960	1.000	0.983	0.752	0.917	0.965	0.971	0.979	0.964	0.963	0.967	0.987	0.970	0.966
대전	0.990	0.990	0.981	0.995	0.979	0.983	1.000	0.791	0.939	0.985	0.984	0.990	0.986	0.978	0.978	0.989	0.974	0.976
세종	0.838	0.814	0.851	0.795	0.865	0.752	0.791	1.000	0.905	0.859	0.819	0.811	0.839	0.849	0.844	0.780	0.841	0.837
울산	0.970	0.957	0.977	0.946	0.981	0.917	0.939	0.905	1.000	0.978	0.959	0.956	0.974	0.981	0.975	0.937	0.971	0.973
경기	0.996	0.988	0.993	0.986	0.996	0.965	0.985	0.859	0.978	1.000	0.987	0.985	0.997	0.992	0.988	0.976	0.986	0.988
강원	0.991	0.990	0.987	0.985	0.985	0.971	0.984	0.819	0.959	0.987	1.000	0.992	0.989	0.985	0.988	0.982	0.985	0.989
충북	0.992	0.992	0.989	0.987	0.982	0.979	0.990	0.811	0.956	0.985	0.992	1.000	0.988	0.986	0.989	0.988	0.984	0.984
충남	0.997	0.989	0.992	0.988	0.995	0.964	0.986	0.839	0.974	0.997	0.989	0.988	1.000	0.992	0.988	0.980	0.988	0.988
경북	0.993	0.986	0.993	0.982	0.991	0.963	0.978	0.849	0.981	0.992	0.985	0.986	0.992	1.000	0.992	0.975	0.989	0.990
경남	0.993	0.988	0.993	0.980	0.987	0.967	0.978	0.844	0.975	0.988	0.988	0.989	0.988	0.992	1.000	0.982	0.990	0.992
전북	0.988	0.989	0.981	0.986	0.972	0.987	0.989	0.780	0.937	0.976	0.982	0.988	0.980	0.975	0.982	1.000	0.980	0.978
전남	0.993	0.988	0.991	0.976	0.989	0.970	0.974	0.841	0.971	0.986	0.985	0.984	0.988	0.989	0.990	0.980	1.000	0.991
제주	0.992	0.987	0.989	0.983	0.988	0.966	0.976	0.837	0.973	0.988	0.989	0.984	0.988	0.990	0.992	0.978	0.991	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	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
0	38세미만	139	41	6	3	6	3	5	5	2	39	2	3	6	3	4	5	5	1
1	38세이상	104	22	10	3	6	1	9	2	2	28	4	3	<NA>	<NA>	4	7	2	1
2	39세	180	50	9	15	6	5	9	7	<NA>	45	4	2	4	9	8	1	4	2
3	40세	272	59	18	15	12	7	8	8	5	67	6	11	4	13	19	5	5	10
4	41세	359	97	25	15	13	6	21	7	3	93	7	13	9	7	15	13	13	2
5	42세	436	111	26	21	22	19	27	10	5	97	23	14	9	10	11	11	10	10
6	43세	509	130	32	25	22	9	24	10	9	135	12	11	16	16	16	14	16	12
7	44세	482	112	30	22	13	9	29	11	8	141	24	14	14	11	19	17	4	4
8	45세	589	151	36	22	23	18	42	19	5	145	22	11	14	21	18	15	20	7
9	46세	710	175	38	24	38	26	51	27	10	163	21	17	23	32	25	18	15	7

	구분	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
39	76세	12794	2326	801	694	432	737	496	41	105	2140	699	505	481	671	951	885	627	203
40	77세	10253	1866	675	583	363	581	444	33	68	1763	646	463	374	456	699	618	462	159
41	78세	10162	1913	727	624	304	593	454	27	71	1680	585	432	392	500	730	562	411	157
42	79세	9439	1856	712	597	269	491	383	29	67	1590	607	388	304	503	618	546	350	129
43	80세	10962	2026	777	715	293	782	541	28	70	1828	551	499	381	555	585	778	422	131
44	81세	8525	1617	597	530	215	544	447	22	49	1390	510	405	287	396	551	556	318	91
45	82세	6976	1365	465	468	199	408	323	11	39	1243	407	330	238	293	419	412	259	97
46	83세	7142	1357	450	492	177	412	405	17	38	1236	392	339	275	351	433	439	256	73
47	84세	6061	1202	391	414	162	345	298	6	38	1039	377	286	224	305	348	403	167	56
48	85세이상	22858	4686	1368	1630	575	1194	1162	39	94	4367	1268	1070	903	1111	1092	1362	693	244

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample