gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	30
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.3 KiB
Average record size in memory	182.4 B

Variable types

Text	1
Categorical	1
Numeric	18

Dataset

Description	지역별(광역시, 도), 재직년수별(20년 미만 ~ 33년 이상) 퇴직연금수급자 현황에 대한 데이터입니다. 20년 미만부터 시작됩니다.
URL	https://www.data.go.kr/data/15054105/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
`계` has unique values	Unique
`서울` has unique values	Unique
`대구` has unique values	Unique
`인천` has unique values	Unique
`광주` has unique values	Unique
`경기` has unique values	Unique
`강원` has unique values	Unique
`충남` has unique values	Unique
`경북` has unique values	Unique
`전북` has unique values	Unique
`전남` has unique values	Unique

Reproduction

Analysis started	2023-12-12 21:53:52.776027
Analysis finished	2023-12-12 21:54:25.554615
Duration	32.78 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Text

Distinct	15
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

Length

Max length	5
Median length	3
Mean length	3.2666667
Min length	3

Characters and Unicode

Total characters	98
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	0 ?
Unique (%)	0.0%

Sample

1st row	20년미만
2nd row	20년미만
3rd row	20년
4th row	20년
5th row	21년

Value	Count	Frequency (%)
20년미만	2	6.7%
20년	2	6.7%
21년	2	6.7%
22년	2	6.7%
23년	2	6.7%
24년	2	6.7%
25년	2	6.7%
26년	2	6.7%
27년	2	6.7%
28년	2	6.7%
Other values (5)	10	33.3%

Most occurring characters

Value	Count	Frequency (%)
년	30	30.6%
2	26	26.5%
3	12	12.2%
0	6	6.1%
1	4	4.1%
미	2	2.0%
만	2	2.0%
4	2	2.0%
5	2	2.0%
6	2	2.0%
Other values (5)	10	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60	61.2%
Other Letter	38	38.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	26	43.3%
3	12	20.0%
0	6	10.0%
1	4	6.7%
4	2	3.3%
5	2	3.3%
6	2	3.3%
7	2	3.3%
8	2	3.3%
9	2	3.3%

Other Letter

Value	Count	Frequency (%)
년	30	78.9%
미	2	5.3%
만	2	5.3%
이	2	5.3%
상	2	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	60	61.2%
Hangul	38	38.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	26	43.3%
3	12	20.0%
0	6	10.0%
1	4	6.7%
4	2	3.3%
5	2	3.3%
6	2	3.3%
7	2	3.3%
8	2	3.3%
9	2	3.3%

Hangul

Value	Count	Frequency (%)
년	30	78.9%
미	2	5.3%
만	2	5.3%
이	2	5.3%
상	2	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60	61.2%
Hangul	38	38.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
년	30	78.9%
미	2	5.3%
만	2	5.3%
이	2	5.3%
상	2	5.3%

ASCII

Value	Count	Frequency (%)
2	26	43.3%
3	12	20.0%
0	6	10.0%
1	4	6.7%
4	2	3.3%
5	2	3.3%
6	2	3.3%
7	2	3.3%
8	2	3.3%
9	2	3.3%

남여구분
Categorical

Distinct	2
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	372.0 B

남	15
여	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	남
2nd row	여
3rd row	남
4th row	여
5th row	남

Common Values

Value	Count	Frequency (%)
남	15	50.0%
여	15	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
남	15	50.0%
여	15	50.0%

계
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18200.333

Minimum	2780
Maximum	246270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	2780
5-th percentile	2819.15
Q1	3522.5
median	6956
Q3	12473.25
95-th percentile	45653.15
Maximum	246270
Range	243490
Interquartile range (IQR)	8950.75

Descriptive statistics

Standard deviation	44638.285
Coefficient of variation (CV)	2.4526081
Kurtosis	25.62171
Mean	18200.333
Median Absolute Deviation (MAD)	3768
Skewness	4.9457356
Sum	546010
Variance	1.9925765 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
3472	1	3.3%
11304	1	3.3%
63425	1	3.3%
246270	1	3.3%
7022	1	3.3%
23932	1	3.3%
6822	1	3.3%
21083	1	3.3%
6546	1	3.3%
18739	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2780	1	3.3%
2807	1	3.3%
2834	1	3.3%
3003	1	3.3%
3077	1	3.3%
3145	1	3.3%
3231	1	3.3%
3472	1	3.3%
3674	1	3.3%
4282	1	3.3%

Value	Count	Frequency (%)
246270	1	3.3%
63425	1	3.3%
23932	1	3.3%
21319	1	3.3%
21083	1	3.3%
18739	1	3.3%
15193	1	3.3%
12863	1	3.3%
11304	1	3.3%
10126	1	3.3%

서울
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3190.2333

Minimum	635
Maximum	36327
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	635
5-th percentile	644.15
Q1	916.75
median	1428
Q3	2146.25
95-th percentile	10003.45
Maximum	36327
Range	35692
Interquartile range (IQR)	1229.5

Descriptive statistics

Standard deviation	6769.8497
Coefficient of variation (CV)	2.1220547
Kurtosis	21.394883
Mean	3190.2333
Median Absolute Deviation (MAD)	541.5
Skewness	4.4976911
Sum	95707
Variance	45830864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
941	1	3.3%
1886	1	3.3%
14854	1	3.3%
36327	1	3.3%
1546	1	3.3%
4075	1	3.3%
1516	1	3.3%
3586	1	3.3%
1443	1	3.3%
3119	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
635	1	3.3%
641	1	3.3%
648	1	3.3%
712	1	3.3%
774	1	3.3%
796	1	3.3%
861	1	3.3%
912	1	3.3%
931	1	3.3%
941	1	3.3%

Value	Count	Frequency (%)
36327	1	3.3%
14854	1	3.3%
4075	1	3.3%
3586	1	3.3%
3119	1	3.3%
2967	1	3.3%
2700	1	3.3%
2225	1	3.3%
1910	1	3.3%
1886	1	3.3%

부산
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1237.6

Minimum	156
Maximum	15472
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	156
5-th percentile	169.3
Q1	265.75
median	488
Q3	812.75
95-th percentile	3751.65
Maximum	15472
Range	15316
Interquartile range (IQR)	547

Descriptive statistics

Standard deviation	2856.903
Coefficient of variation (CV)	2.308422
Kurtosis	22.999915
Mean	1237.6
Median Absolute Deviation (MAD)	249.5
Skewness	4.6582956
Sum	37128
Variance	8161894.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
417	2	6.7%
163	1	3.3%
734	1	3.3%
5373	1	3.3%
15472	1	3.3%
693	1	3.3%
1526	1	3.3%
670	1	3.3%
1360	1	3.3%
554	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
156	1	3.3%
163	1	3.3%
177	1	3.3%
182	1	3.3%
196	1	3.3%
222	1	3.3%
235	1	3.3%
257	1	3.3%
292	1	3.3%
368	1	3.3%

Value	Count	Frequency (%)
15472	1	3.3%
5373	1	3.3%
1770	1	3.3%
1526	1	3.3%
1360	1	3.3%
1148	1	3.3%
953	1	3.3%
839	1	3.3%
734	1	3.3%
693	1	3.3%

대구
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	966.63333

Minimum	122
Maximum	14130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	122
5-th percentile	143.5
Q1	186.5
median	362
Q3	568.5
95-th percentile	2283.55
Maximum	14130
Range	14008
Interquartile range (IQR)	382

Descriptive statistics

Standard deviation	2550.5299
Coefficient of variation (CV)	2.6385702
Kurtosis	26.784909
Mean	966.63333
Median Absolute Deviation (MAD)	188.5
Skewness	5.0834307
Sum	28999
Variance	6505202.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
122	1	3.3%
480	1	3.3%
3094	1	3.3%
14130	1	3.3%
379	1	3.3%
1293	1	3.3%
409	1	3.3%
1064	1	3.3%
425	1	3.3%
913	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
122	1	3.3%
139	1	3.3%
149	1	3.3%
153	1	3.3%
155	1	3.3%
161	1	3.3%
172	1	3.3%
175	1	3.3%
221	1	3.3%
252	1	3.3%

Value	Count	Frequency (%)
14130	1	3.3%
3094	1	3.3%
1293	1	3.3%
1064	1	3.3%
913	1	3.3%
903	1	3.3%
766	1	3.3%
598	1	3.3%
480	1	3.3%
429	1	3.3%

인천
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	637.83333

Minimum	82
Maximum	8349
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	82
5-th percentile	102.25
Q1	125.25
median	250.5
Q3	493
95-th percentile	1565.7
Maximum	8349
Range	8267
Interquartile range (IQR)	367.75

Descriptive statistics

Standard deviation	1510.9704
Coefficient of variation (CV)	2.3689111
Kurtosis	25.490417
Mean	637.83333
Median Absolute Deviation (MAD)	132
Skewness	4.9273651
Sum	19135
Variance	2283031.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
123	1	3.3%
463	1	3.3%
2166	1	3.3%
8349	1	3.3%
221	1	3.3%
832	1	3.3%
242	1	3.3%
754	1	3.3%
212	1	3.3%
686	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
82	1	3.3%
100	1	3.3%
105	1	3.3%
110	1	3.3%
111	1	3.3%
115	1	3.3%
122	1	3.3%
123	1	3.3%
132	1	3.3%
153	1	3.3%

Value	Count	Frequency (%)
8349	1	3.3%
2166	1	3.3%
832	1	3.3%
764	1	3.3%
754	1	3.3%
686	1	3.3%
530	1	3.3%
503	1	3.3%
463	1	3.3%
360	1	3.3%

광주
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	785.06667

Minimum	70
Maximum	12666
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	70
5-th percentile	81.6
Q1	105.25
median	202.5
Q3	448.75
95-th percentile	2111.9
Maximum	12666
Range	12596
Interquartile range (IQR)	343.5

Descriptive statistics

Standard deviation	2310.0715
Coefficient of variation (CV)	2.9425163
Kurtosis	26.382173
Mean	785.06667
Median Absolute Deviation (MAD)	109.5
Skewness	5.0413609
Sum	23552
Variance	5336430.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
105	1	3.3%
391	1	3.3%
2975	1	3.3%
12666	1	3.3%
249	1	3.3%
1057	1	3.3%
204	1	3.3%
886	1	3.3%
198	1	3.3%
686	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
70	1	3.3%
78	1	3.3%
86	1	3.3%
87	1	3.3%
92	1	3.3%
94	1	3.3%
97	1	3.3%
105	1	3.3%
106	1	3.3%
135	1	3.3%

Value	Count	Frequency (%)
12666	1	3.3%
2975	1	3.3%
1057	1	3.3%
886	1	3.3%
686	1	3.3%
547	1	3.3%
539	1	3.3%
468	1	3.3%
391	1	3.3%
326	1	3.3%

대전
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	748.03333

Minimum	91
Maximum	10368
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	91
5-th percentile	104.6
Q1	131.75
median	296
Q3	454
95-th percentile	2059.4
Maximum	10368
Range	10277
Interquartile range (IQR)	322.25

Descriptive statistics

Standard deviation	1881.6249
Coefficient of variation (CV)	2.5154293
Kurtosis	25.672549
Mean	748.03333
Median Absolute Deviation (MAD)	165
Skewness	4.9410455
Sum	22441
Variance	3540512.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
109	2	6.7%
131	1	3.3%
433	1	3.3%
2180	1	3.3%
10368	1	3.3%
183	1	3.3%
854	1	3.3%
172	1	3.3%
740	1	3.3%
184	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
91	1	3.3%
101	1	3.3%
109	2	6.7%
112	1	3.3%
113	1	3.3%
128	1	3.3%
131	1	3.3%
134	1	3.3%
148	1	3.3%
154	1	3.3%

Value	Count	Frequency (%)
10368	1	3.3%
2180	1	3.3%
1912	1	3.3%
854	1	3.3%
740	1	3.3%
711	1	3.3%
560	1	3.3%
461	1	3.3%
433	1	3.3%
392	1	3.3%

세종
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	83.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	142.23333

Minimum	25
Maximum	1898
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	25
5-th percentile	26.35
Q1	33
median	57
Q3	82.25
95-th percentile	400
Maximum	1898
Range	1873
Interquartile range (IQR)	49.25

Descriptive statistics

Standard deviation	345.48334
Coefficient of variation (CV)	2.42899
Kurtosis	25.030266
Mean	142.23333
Median Absolute Deviation (MAD)	24
Skewness	4.8811136
Sum	4267
Variance	119358.74
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
33	3	10.0%
25	2	6.7%
29	2	6.7%
60	2	6.7%
71	1	3.3%
86	1	3.3%
526	1	3.3%
1898	1	3.3%
149	1	3.3%
66	1	3.3%
Other values (15)	15	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25	2	6.7%
28	1	3.3%
29	2	6.7%
31	1	3.3%
33	3	10.0%
35	1	3.3%
36	1	3.3%
42	1	3.3%
47	1	3.3%
54	1	3.3%

Value	Count	Frequency (%)
1898	1	3.3%
526	1	3.3%
246	1	3.3%
162	1	3.3%
149	1	3.3%
119	1	3.3%
97	1	3.3%
86	1	3.3%
71	1	3.3%
68	1	3.3%

울산
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	83.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201.3

Minimum	30
Maximum	2665
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	30
5-th percentile	35.7
Q1	48
median	82.5
Q3	129.5
95-th percentile	607.55
Maximum	2665
Range	2635
Interquartile range (IQR)	81.5

Descriptive statistics

Standard deviation	492.79905
Coefficient of variation (CV)	2.4480827
Kurtosis	23.383708
Mean	201.3
Median Absolute Deviation (MAD)	36.5
Skewness	4.7229379
Sum	6039
Variance	242850.91
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
46	3	10.0%
56	2	6.7%
131	2	6.7%
48	2	6.7%
30	1	3.3%
125	1	3.3%
941	1	3.3%
2665	1	3.3%
200	1	3.3%
174	1	3.3%
Other values (15)	15	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	3.3%
33	1	3.3%
39	1	3.3%
44	1	3.3%
46	3	10.0%
48	2	6.7%
52	1	3.3%
56	2	6.7%
67	1	3.3%
70	1	3.3%

Value	Count	Frequency (%)
2665	1	3.3%
941	1	3.3%
200	1	3.3%
174	1	3.3%
167	1	3.3%
139	1	3.3%
131	2	6.7%
125	1	3.3%
119	1	3.3%
116	1	3.3%

경기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3483.4333

Minimum	615
Maximum	43298
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	615
5-th percentile	646.25
Q1	783.5
median	1440.5
Q3	2580.5
95-th percentile	8774.05
Maximum	43298
Range	42683
Interquartile range (IQR)	1797

Descriptive statistics

Standard deviation	7842.7376
Coefficient of variation (CV)	2.251439
Kurtosis	24.905942
Mean	3483.4333
Median Absolute Deviation (MAD)	710.5
Skewness	4.8587137
Sum	104503
Variance	61508533
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
785	1	3.3%
2351	1	3.3%
12028	1	3.3%
43298	1	3.3%
1439	1	3.3%
4797	1	3.3%
1387	1	3.3%
4161	1	3.3%
1395	1	3.3%
3738	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
615	1	3.3%
635	1	3.3%
660	1	3.3%
675	1	3.3%
681	1	3.3%
682	1	3.3%
778	1	3.3%
783	1	3.3%
785	1	3.3%
888	1	3.3%

Value	Count	Frequency (%)
43298	1	3.3%
12028	1	3.3%
4797	1	3.3%
4582	1	3.3%
4161	1	3.3%
3738	1	3.3%
3046	1	3.3%
2657	1	3.3%
2351	1	3.3%
2090	1	3.3%

강원
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	988.2

Minimum	112
Maximum	14381
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	112
5-th percentile	121.35
Q1	152.5
median	354.5
Q3	730
95-th percentile	1952.8
Maximum	14381
Range	14269
Interquartile range (IQR)	577.5

Descriptive statistics

Standard deviation	2580.6895
Coefficient of variation (CV)	2.6115053
Kurtosis	27.442459
Mean	988.2
Median Absolute Deviation (MAD)	220
Skewness	5.1524711
Sum	29646
Variance	6659958.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
144	1	3.3%
667	1	3.3%
2482	1	3.3%
14381	1	3.3%
331	1	3.3%
1306	1	3.3%
311	1	3.3%
1256	1	3.3%
300	1	3.3%
1124	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
112	1	3.3%
120	1	3.3%
123	1	3.3%
126	1	3.3%
128	1	3.3%
141	1	3.3%
144	1	3.3%
148	1	3.3%
166	1	3.3%
228	1	3.3%

Value	Count	Frequency (%)
14381	1	3.3%
2482	1	3.3%
1306	1	3.3%
1256	1	3.3%
1124	1	3.3%
1006	1	3.3%
907	1	3.3%
751	1	3.3%
667	1	3.3%
594	1	3.3%

충북
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	770.1

Minimum	86
Maximum	11121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	86
5-th percentile	93
Q1	111.25
median	272.5
Q3	519.25
95-th percentile	1755.7
Maximum	11121
Range	11035
Interquartile range (IQR)	408

Descriptive statistics

Standard deviation	2005.0676
Coefficient of variation (CV)	2.6036457
Kurtosis	26.806787
Mean	770.1
Median Absolute Deviation (MAD)	169
Skewness	5.075467
Sum	23103
Variance	4020295.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
93	2	6.7%
112	1	3.3%
105	1	3.3%
2149	1	3.3%
11121	1	3.3%
204	1	3.3%
957	1	3.3%
233	1	3.3%
870	1	3.3%
209	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
86	1	3.3%
93	2	6.7%
96	1	3.3%
102	1	3.3%
105	1	3.3%
106	1	3.3%
111	1	3.3%
112	1	3.3%
128	1	3.3%
132	1	3.3%

Value	Count	Frequency (%)
11121	1	3.3%
2149	1	3.3%
1275	1	3.3%
957	1	3.3%
870	1	3.3%
839	1	3.3%
627	1	3.3%
523	1	3.3%
508	1	3.3%
471	1	3.3%

충남
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	729.6

Minimum	94
Maximum	10625
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	94
5-th percentile	106.05
Q1	128
median	261
Q3	521
95-th percentile	1434.35
Maximum	10625
Range	10531
Interquartile range (IQR)	393

Descriptive statistics

Standard deviation	1904.3406
Coefficient of variation (CV)	2.610116
Kurtosis	27.598411
Mean	729.6
Median Absolute Deviation (MAD)	144.5
Skewness	5.1721513
Sum	21888
Variance	3626513.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
102	1	3.3%
506	1	3.3%
1784	1	3.3%
10625	1	3.3%
262	1	3.3%
1007	1	3.3%
254	1	3.3%
835	1	3.3%
253	1	3.3%
837	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
94	1	3.3%
102	1	3.3%
111	1	3.3%
115	1	3.3%
118	1	3.3%
123	1	3.3%
126	1	3.3%
127	1	3.3%
131	1	3.3%
136	1	3.3%

Value	Count	Frequency (%)
10625	1	3.3%
1784	1	3.3%
1007	1	3.3%
837	1	3.3%
835	1	3.3%
744	1	3.3%
665	1	3.3%
526	1	3.3%
506	1	3.3%
419	1	3.3%

경북
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1094.1333

Minimum	86
Maximum	16146
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	86
5-th percentile	113.05
Q1	139.75
median	340.5
Q3	779.5
95-th percentile	2393.15
Maximum	16146
Range	16060
Interquartile range (IQR)	639.75

Descriptive statistics

Standard deviation	2910.9592
Coefficient of variation (CV)	2.660516
Kurtosis	26.999237
Mean	1094.1333
Median Absolute Deviation (MAD)	210
Skewness	5.096369
Sum	32824
Variance	8473683.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
130	1	3.3%
718	1	3.3%
2849	1	3.3%
16146	1	3.3%
294	1	3.3%
1484	1	3.3%
295	1	3.3%
1341	1	3.3%
271	1	3.3%
1181	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
86	1	3.3%
109	1	3.3%
118	1	3.3%
121	1	3.3%
130	1	3.3%
131	1	3.3%
133	1	3.3%
139	1	3.3%
142	1	3.3%
167	1	3.3%

Value	Count	Frequency (%)
16146	1	3.3%
2849	1	3.3%
1836	1	3.3%
1484	1	3.3%
1341	1	3.3%
1181	1	3.3%
954	1	3.3%
800	1	3.3%
718	1	3.3%
651	1	3.3%

경남
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1215.3333

Minimum	129
Maximum	18323
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	129
5-th percentile	146.05
Q1	193.5
median	396
Q3	805
95-th percentile	2907.7
Maximum	18323
Range	18194
Interquartile range (IQR)	611.5

Descriptive statistics

Standard deviation	3316.5717
Coefficient of variation (CV)	2.72894
Kurtosis	26.720094
Mean	1215.3333
Median Absolute Deviation (MAD)	217
Skewness	5.0748042
Sum	36460
Variance	10999648
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
151	2	6.7%
175	1	3.3%
226	1	3.3%
3985	1	3.3%
18323	1	3.3%
425	1	3.3%
1591	1	3.3%
395	1	3.3%
1456	1	3.3%
384	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
129	1	3.3%
142	1	3.3%
151	2	6.7%
175	1	3.3%
176	1	3.3%
182	1	3.3%
190	1	3.3%
204	1	3.3%
226	1	3.3%
268	1	3.3%

Value	Count	Frequency (%)
18323	1	3.3%
3985	1	3.3%
1591	1	3.3%
1456	1	3.3%
1296	1	3.3%
1035	1	3.3%
857	1	3.3%
844	1	3.3%
688	1	3.3%
589	1	3.3%

전북
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	958.06667

Minimum	80
Maximum	14701
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	80
5-th percentile	90.25
Q1	126.25
median	287.5
Q3	673.25
95-th percentile	2331.8
Maximum	14701
Range	14621
Interquartile range (IQR)	547

Descriptive statistics

Standard deviation	2665.2686
Coefficient of variation (CV)	2.781924
Kurtosis	26.674825
Mean	958.06667
Median Absolute Deviation (MAD)	180.5
Skewness	5.0679308
Sum	28742
Variance	7103656.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
148	1	3.3%
602	1	3.3%
3167	1	3.3%
14701	1	3.3%
234	1	3.3%
1311	1	3.3%
254	1	3.3%
1108	1	3.3%
261	1	3.3%
1012	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80	1	3.3%
88	1	3.3%
93	1	3.3%
103	1	3.3%
105	1	3.3%
109	1	3.3%
110	1	3.3%
124	1	3.3%
133	1	3.3%
148	1	3.3%

Value	Count	Frequency (%)
14701	1	3.3%
3167	1	3.3%
1311	1	3.3%
1108	1	3.3%
1012	1	3.3%
801	1	3.3%
754	1	3.3%
697	1	3.3%
602	1	3.3%
530	1	3.3%

전남
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	30
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	769.63333

Minimum	58
Maximum	11577
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	58
5-th percentile	60.35
Q1	92.5
median	274
Q3	581
95-th percentile	1544.7
Maximum	11577
Range	11519
Interquartile range (IQR)	488.5

Descriptive statistics

Standard deviation	2083.311
Coefficient of variation (CV)	2.7068877
Kurtosis	27.393732
Mean	769.63333
Median Absolute Deviation (MAD)	196.5
Skewness	5.1444414
Sum	23089
Variance	4340184.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
134	1	3.3%
551	1	3.3%
1902	1	3.3%
11577	1	3.3%
255	1	3.3%
1108	1	3.3%
179	1	3.3%
958	1	3.3%
180	1	3.3%
914	1	3.3%
Other values (20)	20	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
58	1	3.3%
59	1	3.3%
62	1	3.3%
68	1	3.3%
75	1	3.3%
80	1	3.3%
90	1	3.3%
91	1	3.3%
97	1	3.3%
112	1	3.3%

Value	Count	Frequency (%)
11577	1	3.3%
1902	1	3.3%
1108	1	3.3%
958	1	3.3%
914	1	3.3%
910	1	3.3%
678	1	3.3%
591	1	3.3%
551	1	3.3%
476	1	3.3%

제주
Real number (ℝ)

HIGH CORRELATION

Distinct	29
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	282.9

Minimum	27
Maximum	4223
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	402.0 B

Quantile statistics

Minimum	27
5-th percentile	37.8
Q1	59.25
median	103.5
Q3	152.75
95-th percentile	706.75
Maximum	4223
Range	4196
Interquartile range (IQR)	93.5

Descriptive statistics

Standard deviation	765.38466
Coefficient of variation (CV)	2.7054954
Kurtosis	26.485933
Mean	282.9
Median Absolute Deviation (MAD)	46
Skewness	5.0501766
Sum	8487
Variance	585813.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
68	2	6.7%
56	1	3.3%
159	1	3.3%
970	1	3.3%
4223	1	3.3%
116	1	3.3%
385	1	3.3%
104	1	3.3%
372	1	3.3%
102	1	3.3%
Other values (19)	19	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27	1	3.3%
36	1	3.3%
40	1	3.3%
46	1	3.3%
47	1	3.3%
48	1	3.3%
56	1	3.3%
59	1	3.3%
60	1	3.3%
68	2	6.7%

Value	Count	Frequency (%)
4223	1	3.3%
970	1	3.3%
385	1	3.3%
372	1	3.3%
249	1	3.3%
235	1	3.3%
169	1	3.3%
159	1	3.3%
134	1	3.3%
127	1	3.3%

Phik (φk)
Auto

Heatmap
Table

	구분	남여구분	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
구분	1.000	0.000	0.371	0.371	0.251	0.479	0.479	0.479	0.382	0.382	0.479	0.371	0.479	0.421	0.479	0.421	0.371	0.479	0.479	0.479
남여구분	0.000	1.000	0.008	0.008	0.000	0.000	0.000	0.000	0.056	0.056	0.000	0.008	0.000	0.000	0.000	0.000	0.008	0.000	0.000	0.000
계	0.371	0.008	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
서울	0.371	0.008	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
부산	0.251	0.000	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
대구	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
인천	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
광주	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
대전	0.382	0.056	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
세종	0.382	0.056	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
울산	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
경기	0.371	0.008	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
강원	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
충북	0.421	0.000	0.985	0.985	1.000	0.985	0.985	0.985	1.000	1.000	0.985	0.985	0.985	1.000	0.985	1.000	0.985	0.985	0.985	0.985
충남	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
경북	0.421	0.000	0.985	0.985	1.000	0.985	0.985	0.985	1.000	1.000	0.985	0.985	0.985	1.000	0.985	1.000	0.985	0.985	0.985	0.985
경남	0.371	0.008	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
전북	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
전남	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000
제주	0.479	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.985	1.000	0.985	1.000	1.000	1.000	1.000

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주	남여구분
계	1.000	0.984	0.942	0.961	0.990	0.984	0.955	0.820	0.872	0.996	0.983	0.978	0.959	0.968	0.975	0.975	0.992	0.945	0.000
서울	0.984	1.000	0.954	0.971	0.972	0.985	0.933	0.865	0.904	0.977	0.970	0.966	0.945	0.948	0.957	0.966	0.980	0.948	0.000
부산	0.942	0.954	1.000	0.973	0.937	0.938	0.883	0.811	0.927	0.931	0.927	0.907	0.930	0.938	0.939	0.909	0.920	0.894	0.000
대구	0.961	0.971	0.973	1.000	0.953	0.959	0.921	0.799	0.922	0.955	0.954	0.944	0.952	0.947	0.954	0.942	0.945	0.930	0.000
인천	0.990	0.972	0.937	0.953	1.000	0.969	0.952	0.806	0.841	0.992	0.979	0.973	0.962	0.980	0.968	0.975	0.984	0.934	0.000
광주	0.984	0.985	0.938	0.959	0.969	1.000	0.938	0.836	0.915	0.974	0.976	0.972	0.947	0.944	0.975	0.973	0.978	0.959	0.000
대전	0.955	0.933	0.883	0.921	0.952	0.938	1.000	0.801	0.800	0.965	0.951	0.976	0.940	0.948	0.934	0.955	0.954	0.890	0.000
세종	0.820	0.865	0.811	0.799	0.806	0.836	0.801	1.000	0.775	0.820	0.768	0.821	0.714	0.738	0.761	0.794	0.829	0.767	0.000
울산	0.872	0.904	0.927	0.922	0.841	0.915	0.800	0.775	1.000	0.846	0.862	0.848	0.864	0.836	0.890	0.855	0.861	0.880	0.000
경기	0.996	0.977	0.931	0.955	0.992	0.974	0.965	0.820	0.846	1.000	0.980	0.982	0.958	0.971	0.968	0.976	0.993	0.940	0.000
강원	0.983	0.970	0.927	0.954	0.979	0.976	0.951	0.768	0.862	0.980	1.000	0.978	0.978	0.979	0.979	0.991	0.980	0.939	0.000
충북	0.978	0.966	0.907	0.944	0.973	0.972	0.976	0.821	0.848	0.982	0.978	1.000	0.957	0.960	0.957	0.987	0.976	0.914	0.000
충남	0.959	0.945	0.930	0.952	0.962	0.947	0.940	0.714	0.864	0.958	0.978	0.957	1.000	0.987	0.967	0.965	0.950	0.914	0.000
경북	0.968	0.948	0.938	0.947	0.980	0.944	0.948	0.738	0.836	0.971	0.979	0.960	0.987	1.000	0.972	0.969	0.959	0.902	0.000
경남	0.975	0.957	0.939	0.954	0.968	0.975	0.934	0.761	0.890	0.968	0.979	0.957	0.967	0.972	1.000	0.972	0.962	0.941	0.000
전북	0.975	0.966	0.909	0.942	0.975	0.973	0.955	0.794	0.855	0.976	0.991	0.987	0.965	0.969	0.972	1.000	0.979	0.928	0.000
전남	0.992	0.980	0.920	0.945	0.984	0.978	0.954	0.829	0.861	0.993	0.980	0.976	0.950	0.959	0.962	0.979	1.000	0.950	0.000
제주	0.945	0.948	0.894	0.930	0.934	0.959	0.890	0.767	0.880	0.940	0.939	0.914	0.914	0.902	0.941	0.928	0.950	1.000	0.000
남여구분	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	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

	구분	남여구분	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
0	20년미만	남	3472	941	163	122	123	105	131	71	30	785	144	112	102	130	175	148	134	56
1	20년미만	여	3231	861	222	172	115	94	128	60	48	778	112	102	94	86	129	80	91	59
2	20년	남	21319	2967	1770	903	764	539	1912	246	119	4582	1006	1275	744	1836	857	801	910	88
3	20년	여	5038	1215	368	281	200	161	288	42	46	1198	228	170	172	167	204	133	97	68
4	21년	남	6931	1325	417	350	274	183	386	54	48	1445	378	314	260	386	394	314	293	110
5	21년	여	3077	796	177	161	100	97	109	31	56	675	148	106	123	109	151	110	80	48
6	22년	남	6981	1328	415	304	259	201	337	47	70	1442	411	312	285	419	397	329	322	103
7	22년	여	2780	648	182	149	110	86	112	25	33	615	128	93	126	133	142	103	59	36
8	23년	남	7590	1413	411	365	306	213	325	28	67	1569	463	371	315	469	464	354	345	112
9	23년	여	2834	635	196	139	105	92	101	29	52	660	120	86	111	121	190	88	62	47

	구분	남여구분	계	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
20	29년	남	15193	2700	953	766	530	547	560	97	139	3046	907	627	665	954	1035	754	678	235
21	29년	여	5339	1220	477	336	202	165	154	36	89	1139	251	132	184	237	312	184	152	69
22	30년	남	18739	3119	1148	913	686	686	711	119	167	3738	1124	839	837	1181	1296	1012	914	249
23	30년	여	6546	1443	554	425	212	198	184	59	116	1395	300	209	253	271	384	261	180	102
24	31년	남	21083	3586	1360	1064	754	886	740	162	174	4161	1256	870	835	1341	1456	1108	958	372
25	31년	여	6822	1516	670	409	242	204	172	66	131	1387	311	233	254	295	395	254	179	104
26	32년	남	23932	4075	1526	1293	832	1057	854	149	200	4797	1306	957	1007	1484	1591	1311	1108	385
27	32년	여	7022	1546	693	379	221	249	183	60	131	1439	331	204	262	294	425	234	255	116
28	33년이상	남	246270	36327	15472	14130	8349	12666	10368	1898	2665	43298	14381	11121	10625	16146	18323	14701	11577	4223
29	33년이상	여	63425	14854	5373	3094	2166	2975	2180	526	941	12028	2482	2149	1784	2849	3985	3167	1902	970

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

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample