gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	34
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.5 KiB
Average record size in memory	164.9 B

Variable types

Text	1
Numeric	17

Dataset

Description	공무원 재직년수별, 지역별 퇴직자 현황 데이터(서울,부산,대구,광주,대전, 제주 등)로 1년 미만부터 연 단위로 구분되어 있습니다.
URL	https://www.data.go.kr/data/15053022/fileData.do

Alerts

`서울` is highly overall correlated with `부산` and 15 other fields	High correlation
`부산` is highly overall correlated with `서울` and 15 other fields	High correlation
`대구` is highly overall correlated with `서울` and 15 other fields	High correlation
`인천` is highly overall correlated with `서울` and 15 other fields	High correlation
`광주` is highly overall correlated with `서울` and 15 other fields	High correlation
`대전` is highly overall correlated with `서울` and 15 other fields	High correlation
`세종` is highly overall correlated with `서울` and 15 other fields	High correlation
`울산` is highly overall correlated with `서울` and 15 other fields	High correlation
`경기` is highly overall correlated with `서울` and 15 other fields	High correlation
`강원` is highly overall correlated with `서울` and 15 other fields	High correlation
`충북` is highly overall correlated with `서울` and 15 other fields	High correlation
`충남` is highly overall correlated with `서울` and 15 other fields	High correlation
`경북` is highly overall correlated with `서울` and 15 other fields	High correlation
`경남` is highly overall correlated with `서울` and 15 other fields	High correlation
`전북` is highly overall correlated with `서울` and 15 other fields	High correlation
`전남` is highly overall correlated with `서울` and 15 other fields	High correlation
`제주` is highly overall correlated with `서울` and 15 other fields	High correlation
`구분` has unique values	Unique
`경기` has unique values	Unique

Reproduction

Analysis started	2023-12-12 23:24:51.202808
Analysis finished	2023-12-12 23:25:18.858921
Duration	27.66 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Text

UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	404.0 B

Length

Max length	5
Median length	3
Mean length	2.8823529
Min length	2

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	34 ?
Unique (%)	100.0%

Sample

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

Value	Count	Frequency (%)
1년미만	1	2.9%
1년이상	1	2.9%
32년	1	2.9%
31년	1	2.9%
30년	1	2.9%
29년	1	2.9%
28년	1	2.9%
27년	1	2.9%
26년	1	2.9%
9년	1	2.9%
Other values (24)	24	70.6%

Most occurring characters

Value	Count	Frequency (%)
년	34	34.7%
1	15	15.3%
2	14	14.3%
3	8	8.2%
9	3	3.1%
5	3	3.1%
4	3	3.1%
0	3	3.1%
8	3	3.1%
7	3	3.1%
Other values (5)	9	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	58	59.2%
Other Letter	40	40.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15	25.9%
2	14	24.1%
3	8	13.8%
9	3	5.2%
5	3	5.2%
4	3	5.2%
0	3	5.2%
8	3	5.2%
7	3	5.2%
6	3	5.2%

Other Letter

Value	Count	Frequency (%)
년	34	85.0%
이	2	5.0%
상	2	5.0%
미	1	2.5%
만	1	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	58	59.2%
Hangul	40	40.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	15	25.9%
2	14	24.1%
3	8	13.8%
9	3	5.2%
5	3	5.2%
4	3	5.2%
0	3	5.2%
8	3	5.2%
7	3	5.2%
6	3	5.2%

Hangul

Value	Count	Frequency (%)
년	34	85.0%
이	2	5.0%
상	2	5.0%
미	1	2.5%
만	1	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58	59.2%
Hangul	40	40.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
년	34	85.0%
이	2	5.0%
상	2	5.0%
미	1	2.5%
만	1	2.5%

ASCII

Value	Count	Frequency (%)
1	15	25.9%
2	14	24.1%
3	8	13.8%
9	3	5.2%
5	3	5.2%
4	3	5.2%
0	3	5.2%
8	3	5.2%
7	3	5.2%
6	3	5.2%

서울
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	91.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	405.41176

Minimum	51
Maximum	4847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	51
5-th percentile	83.05
Q1	102.25
median	130
Q3	345.5
95-th percentile	1170.25
Maximum	4847
Range	4796
Interquartile range (IQR)	243.25

Descriptive statistics

Standard deviation	840.37662
Coefficient of variation (CV)	2.0728965
Kurtosis	25.14922
Mean	405.41176
Median Absolute Deviation (MAD)	41
Skewness	4.7852301
Sum	13784
Variance	706232.86
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
89	2	5.9%
92	2	5.9%
125	2	5.9%
72	1	2.9%
4847	1	2.9%
482	1	2.9%
440	1	2.9%
338	1	2.9%
173	1	2.9%
163	1	2.9%
Other values (21)	21	61.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
51	1	2.9%
72	1	2.9%
89	2	5.9%
92	2	5.9%
93	1	2.9%
100	1	2.9%
102	1	2.9%
103	1	2.9%
107	1	2.9%
111	1	2.9%

Value	Count	Frequency (%)
4847	1	2.9%
1284	1	2.9%
1109	1	2.9%
834	1	2.9%
790	1	2.9%
482	1	2.9%
440	1	2.9%
386	1	2.9%
348	1	2.9%
338	1	2.9%

부산
Real number (ℝ)

HIGH CORRELATION

Distinct	28
Distinct (%)	82.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.20588

Minimum	9
Maximum	1723
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	9
5-th percentile	11.65
Q1	15.25
median	27.5
Q3	68.25
95-th percentile	184.45
Maximum	1723
Range	1714
Interquartile range (IQR)	53

Descriptive statistics

Standard deviation	291.66354
Coefficient of variation (CV)	2.8818833
Kurtosis	31.464762
Mean	101.20588
Median Absolute Deviation (MAD)	14.5
Skewness	5.5229958
Sum	3441
Variance	85067.623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
14	2	5.9%
15	2	5.9%
35	2	5.9%
24	2	5.9%
16	2	5.9%
13	2	5.9%
22	1	2.9%
48	1	2.9%
155	1	2.9%
25	1	2.9%
Other values (18)	18	52.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	2.9%
11	1	2.9%
12	1	2.9%
13	2	5.9%
14	2	5.9%
15	2	5.9%
16	2	5.9%
17	1	2.9%
20	1	2.9%
22	1	2.9%

Value	Count	Frequency (%)
1723	1	2.9%
228	1	2.9%
161	1	2.9%
155	1	2.9%
141	1	2.9%
140	1	2.9%
112	1	2.9%
84	1	2.9%
70	1	2.9%
63	1	2.9%

대구
Real number (ℝ)

HIGH CORRELATION

Distinct	23
Distinct (%)	67.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.323529

Minimum	11
Maximum	1365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	11
5-th percentile	12.65
Q1	15
median	20.5
Q3	42.25
95-th percentile	154.8
Maximum	1365
Range	1354
Interquartile range (IQR)	27.25

Descriptive statistics

Standard deviation	230.89585
Coefficient of variation (CV)	3.0653881
Kurtosis	32.093922
Mean	75.323529
Median Absolute Deviation (MAD)	6.5
Skewness	5.6029266
Sum	2561
Variance	53312.892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
15	5	14.7%
20	4	11.8%
14	3	8.8%
40	2	5.9%
25	2	5.9%
67	1	2.9%
17	1	2.9%
1365	1	2.9%
186	1	2.9%
138	1	2.9%
Other values (13)	13	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	2.9%
12	1	2.9%
13	1	2.9%
14	3	8.8%
15	5	14.7%
16	1	2.9%
17	1	2.9%
20	4	11.8%
21	1	2.9%
23	1	2.9%

Value	Count	Frequency (%)
1365	1	2.9%
186	1	2.9%
138	1	2.9%
70	1	2.9%
69	1	2.9%
68	1	2.9%
67	1	2.9%
58	1	2.9%
43	1	2.9%
40	2	5.9%

인천
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.411765

Minimum	5
Maximum	1044
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	5
5-th percentile	8.3
Q1	13.25
median	19
Q3	44.5
95-th percentile	125.8
Maximum	1044
Range	1039
Interquartile range (IQR)	31.25

Descriptive statistics

Standard deviation	176.68704
Coefficient of variation (CV)	2.6210119
Kurtosis	30.64188
Mean	67.411765
Median Absolute Deviation (MAD)	9
Skewness	5.4220336
Sum	2292
Variance	31218.31
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
14	3	8.8%
12	3	8.8%
39	2	5.9%
18	2	5.9%
15	2	5.9%
11	2	5.9%
120	1	2.9%
9	1	2.9%
1044	1	2.9%
111	1	2.9%
Other values (16)	16	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	2.9%
7	1	2.9%
9	1	2.9%
11	2	5.9%
12	3	8.8%
13	1	2.9%
14	3	8.8%
15	2	5.9%
16	1	2.9%
18	2	5.9%

Value	Count	Frequency (%)
1044	1	2.9%
131	1	2.9%
123	1	2.9%
120	1	2.9%
111	1	2.9%
110	1	2.9%
86	1	2.9%
50	1	2.9%
45	1	2.9%
43	1	2.9%

광주
Real number (ℝ)

HIGH CORRELATION

Distinct	24
Distinct (%)	70.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.617647

Minimum	4
Maximum	653
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	4
5-th percentile	5.65
Q1	9
median	14
Q3	25.75
95-th percentile	84.4
Maximum	653
Range	649
Interquartile range (IQR)	16.75

Descriptive statistics

Standard deviation	110.4152
Coefficient of variation (CV)	2.5908328
Kurtosis	30.662908
Mean	42.617647
Median Absolute Deviation (MAD)	6.5
Skewness	5.4249522
Sum	1449
Variance	12191.516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
9	4	11.8%
14	3	8.8%
6	3	8.8%
18	2	5.9%
25	2	5.9%
8	2	5.9%
58	1	2.9%
10	1	2.9%
653	1	2.9%
87	1	2.9%
Other values (14)	14	41.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	2.9%
5	1	2.9%
6	3	8.8%
7	1	2.9%
8	2	5.9%
9	4	11.8%
10	1	2.9%
11	1	2.9%
12	1	2.9%
14	3	8.8%

Value	Count	Frequency (%)
653	1	2.9%
87	1	2.9%
83	1	2.9%
73	1	2.9%
63	1	2.9%
58	1	2.9%
54	1	2.9%
49	1	2.9%
26	1	2.9%
25	2	5.9%

대전
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.029412

Minimum	4
Maximum	947
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	4
5-th percentile	9
Q1	16.5
median	22
Q3	56.25
95-th percentile	132
Maximum	947
Range	943
Interquartile range (IQR)	39.75

Descriptive statistics

Standard deviation	159.8813
Coefficient of variation (CV)	2.4213649
Kurtosis	30.227325
Mean	66.029412
Median Absolute Deviation (MAD)	10.5
Skewness	5.3731619
Sum	2245
Variance	25562.029
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
111	2	5.9%
18	2	5.9%
22	2	5.9%
20	2	5.9%
9	2	5.9%
16	2	5.9%
21	2	5.9%
26	2	5.9%
39	2	5.9%
19	1	2.9%
Other values (15)	15	44.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	2.9%
9	2	5.9%
11	1	2.9%
12	1	2.9%
14	1	2.9%
15	1	2.9%
16	2	5.9%
18	2	5.9%
19	1	2.9%
20	2	5.9%

Value	Count	Frequency (%)
947	1	2.9%
145	1	2.9%
125	1	2.9%
111	2	5.9%
91	1	2.9%
67	1	2.9%
61	1	2.9%
60	1	2.9%
45	1	2.9%
39	2	5.9%

세종
Real number (ℝ)

HIGH CORRELATION

Distinct	23
Distinct (%)	67.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.5

Minimum	6
Maximum	307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	6
5-th percentile	6.65
Q1	10
median	14.5
Q3	40
95-th percentile	83.65
Maximum	307
Range	301
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	53.320216
Coefficient of variation (CV)	1.5916482
Kurtosis	21.988892
Mean	33.5
Median Absolute Deviation (MAD)	7.5
Skewness	4.3712567
Sum	1139
Variance	2843.0455
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
10	4	11.8%
24	3	8.8%
7	2	5.9%
6	2	5.9%
14	2	5.9%
8	2	5.9%
11	2	5.9%
9	2	5.9%
307	1	2.9%
42	1	2.9%
Other values (13)	13	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	2	5.9%
7	2	5.9%
8	2	5.9%
9	2	5.9%
10	4	11.8%
11	2	5.9%
12	1	2.9%
14	2	5.9%
15	1	2.9%
18	1	2.9%

Value	Count	Frequency (%)
307	1	2.9%
96	1	2.9%
77	1	2.9%
62	1	2.9%
57	1	2.9%
53	1	2.9%
52	1	2.9%
45	1	2.9%
42	1	2.9%
34	1	2.9%

울산
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	52.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.176471

Minimum	1
Maximum	347
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3.25
median	7
Q3	13
95-th percentile	44
Maximum	347
Range	346
Interquartile range (IQR)	9.75

Descriptive statistics

Standard deviation	58.880707
Coefficient of variation (CV)	2.6550982
Kurtosis	30.383903
Mean	22.176471
Median Absolute Deviation (MAD)	4
Skewness	5.3925181
Sum	754
Variance	3466.9376
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
3	5	14.7%
7	4	11.8%
6	3	8.8%
2	3	8.8%
13	2	5.9%
8	2	5.9%
44	2	5.9%
43	2	5.9%
9	2	5.9%
1	1	2.9%
Other values (8)	8	23.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.9%
2	3	8.8%
3	5	14.7%
4	1	2.9%
5	1	2.9%
6	3	8.8%
7	4	11.8%
8	2	5.9%
9	2	5.9%
10	1	2.9%

Value	Count	Frequency (%)
347	1	2.9%
44	2	5.9%
43	2	5.9%
30	1	2.9%
24	1	2.9%
20	1	2.9%
13	2	5.9%
12	1	2.9%
10	1	2.9%
9	2	5.9%

경기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	263.17647

Minimum	32
Maximum	3745
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	32
5-th percentile	41.2
Q1	59.25
median	85.5
Q3	199
95-th percentile	584.65
Maximum	3745
Range	3713
Interquartile range (IQR)	139.75

Descriptive statistics

Standard deviation	636.87644
Coefficient of variation (CV)	2.4199597
Kurtosis	29.194786
Mean	263.17647
Median Absolute Deviation (MAD)	33.5
Skewness	5.2512788
Sum	8948
Variance	405611.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
571	1	2.9%
80	1	2.9%
94	1	2.9%
67	1	2.9%
65	1	2.9%
45	1	2.9%
73	1	2.9%
68	1	2.9%
102	1	2.9%
36	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32	1	2.9%
36	1	2.9%
44	1	2.9%
45	1	2.9%
46	1	2.9%
52	1	2.9%
53	1	2.9%
54	1	2.9%
59	1	2.9%
60	1	2.9%

Value	Count	Frequency (%)
3745	1	2.9%
610	1	2.9%
571	1	2.9%
526	1	2.9%
485	1	2.9%
357	1	2.9%
346	1	2.9%
217	1	2.9%
207	1	2.9%
175	1	2.9%

강원
Real number (ℝ)

HIGH CORRELATION

Distinct	23
Distinct (%)	67.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.441176

Minimum	6
Maximum	1112
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	6
5-th percentile	8
Q1	14
median	22.5
Q3	59.25
95-th percentile	157.35
Maximum	1112
Range	1106
Interquartile range (IQR)	45.25

Descriptive statistics

Standard deviation	188.71771
Coefficient of variation (CV)	2.6415818
Kurtosis	30.317187
Mean	71.441176
Median Absolute Deviation (MAD)	9.5
Skewness	5.3862531
Sum	2429
Variance	35614.375
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
14	6	17.6%
8	2	5.9%
63	2	5.9%
25	2	5.9%
13	2	5.9%
15	2	5.9%
11	2	5.9%
19	1	2.9%
1112	1	2.9%
150	1	2.9%
Other values (13)	13	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	2.9%
8	2	5.9%
11	2	5.9%
13	2	5.9%
14	6	17.6%
15	2	5.9%
19	1	2.9%
22	1	2.9%
23	1	2.9%
25	2	5.9%

Value	Count	Frequency (%)
1112	1	2.9%
171	1	2.9%
150	1	2.9%
126	1	2.9%
104	1	2.9%
97	1	2.9%
72	1	2.9%
63	2	5.9%
48	1	2.9%
39	1	2.9%

충북
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.058824

Minimum	3
Maximum	802
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	3
5-th percentile	5
Q1	9.25
median	16.5
Q3	33.25
95-th percentile	118.6
Maximum	802
Range	799
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	136.71646
Coefficient of variation (CV)	2.6261919
Kurtosis	29.637486
Mean	52.058824
Median Absolute Deviation (MAD)	8.5
Skewness	5.3096046
Sum	1770
Variance	18691.39
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
12	3	8.8%
7	2	5.9%
17	2	5.9%
24	2	5.9%
6	2	5.9%
10	2	5.9%
5	2	5.9%
9	2	5.9%
16	1	2.9%
802	1	2.9%
Other values (15)	15	44.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	2.9%
5	2	5.9%
6	2	5.9%
7	2	5.9%
9	2	5.9%
10	2	5.9%
12	3	8.8%
13	1	2.9%
14	1	2.9%
16	1	2.9%

Value	Count	Frequency (%)
802	1	2.9%
155	1	2.9%
99	1	2.9%
83	1	2.9%
78	1	2.9%
74	1	2.9%
60	1	2.9%
57	1	2.9%
35	1	2.9%
28	1	2.9%

충남
Real number (ℝ)

HIGH CORRELATION

Distinct	24
Distinct (%)	70.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.029412

Minimum	5
Maximum	1072
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	5
5-th percentile	5.65
Q1	12
median	21.5
Q3	48
95-th percentile	169.4
Maximum	1072
Range	1067
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	183.44622
Coefficient of variation (CV)	2.6195596
Kurtosis	29.081334
Mean	70.029412
Median Absolute Deviation (MAD)	10
Skewness	5.2438199
Sum	2381
Variance	33652.514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
12	5	14.7%
13	4	11.8%
22	2	5.9%
8	2	5.9%
5	2	5.9%
105	1	2.9%
24	1	2.9%
1072	1	2.9%
147	1	2.9%
94	1	2.9%
Other values (14)	14	41.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	5.9%
6	1	2.9%
7	1	2.9%
8	2	5.9%
12	5	14.7%
13	4	11.8%
19	1	2.9%
21	1	2.9%
22	2	5.9%
23	1	2.9%

Value	Count	Frequency (%)
1072	1	2.9%
211	1	2.9%
147	1	2.9%
141	1	2.9%
105	1	2.9%
94	1	2.9%
76	1	2.9%
70	1	2.9%
51	1	2.9%
39	1	2.9%

경북
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83.735294

Minimum	6
Maximum	1456
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	6
5-th percentile	7
Q1	8.5
median	20.5
Q3	62.75
95-th percentile	205.75
Maximum	1456
Range	1450
Interquartile range (IQR)	54.25

Descriptive statistics

Standard deviation	248.97624
Coefficient of variation (CV)	2.9733728
Kurtosis	30.274531
Mean	83.735294
Median Absolute Deviation (MAD)	12.5
Skewness	5.3928631
Sum	2847
Variance	61989.17
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
8	6	17.6%
20	2	5.9%
10	2	5.9%
7	2	5.9%
79	1	2.9%
1456	1	2.9%
162	1	2.9%
116	1	2.9%
78	1	2.9%
36	1	2.9%
Other values (16)	16	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	2.9%
7	2	5.9%
8	6	17.6%
10	2	5.9%
11	1	2.9%
13	1	2.9%
14	1	2.9%
17	1	2.9%
20	2	5.9%
21	1	2.9%

Value	Count	Frequency (%)
1456	1	2.9%
287	1	2.9%
162	1	2.9%
116	1	2.9%
95	1	2.9%
79	1	2.9%
78	1	2.9%
73	1	2.9%
66	1	2.9%
53	1	2.9%

경남
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.911765

Minimum	7
Maximum	1479
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	7
5-th percentile	7
Q1	13
median	23.5
Q3	55.5
95-th percentile	180.45
Maximum	1479
Range	1472
Interquartile range (IQR)	42.5

Descriptive statistics

Standard deviation	251.13106
Coefficient of variation (CV)	2.8894944
Kurtosis	31.038619
Mean	86.911765
Median Absolute Deviation (MAD)	13.5
Skewness	5.4739651
Sum	2955
Variance	63066.81
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
13	4	11.8%
16	3	8.8%
7	3	8.8%
37	2	5.9%
89	1	2.9%
9	1	2.9%
1479	1	2.9%
157	1	2.9%
104	1	2.9%
93	1	2.9%
Other values (16)	16	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	3	8.8%
8	1	2.9%
9	1	2.9%
11	1	2.9%
13	4	11.8%
14	1	2.9%
15	1	2.9%
16	3	8.8%
20	1	2.9%
23	1	2.9%

Value	Count	Frequency (%)
1479	1	2.9%
224	1	2.9%
157	1	2.9%
141	1	2.9%
108	1	2.9%
104	1	2.9%
93	1	2.9%
89	1	2.9%
59	1	2.9%
45	1	2.9%

전북
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.852941

Minimum	5
Maximum	1189
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	5
5-th percentile	6.95
Q1	11
median	17.5
Q3	48.25
95-th percentile	153.65
Maximum	1189
Range	1184
Interquartile range (IQR)	37.25

Descriptive statistics

Standard deviation	201.81542
Coefficient of variation (CV)	2.8087287
Kurtosis	30.847965
Mean	71.852941
Median Absolute Deviation (MAD)	10.5
Skewness	5.451725
Sum	2443
Variance	40729.463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
11	3	8.8%
13	3	8.8%
15	2	5.9%
33	2	5.9%
10	2	5.9%
9	2	5.9%
5	2	5.9%
83	1	2.9%
1189	1	2.9%
133	1	2.9%
Other values (15)	15	44.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	5.9%
8	1	2.9%
9	2	5.9%
10	2	5.9%
11	3	8.8%
13	3	8.8%
14	1	2.9%
15	2	5.9%
17	1	2.9%
18	1	2.9%

Value	Count	Frequency (%)
1189	1	2.9%
192	1	2.9%
133	1	2.9%
101	1	2.9%
91	1	2.9%
89	1	2.9%
83	1	2.9%
63	1	2.9%
49	1	2.9%
46	1	2.9%

전남
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.852941

Minimum	7
Maximum	1227
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	7
5-th percentile	7.65
Q1	11.25
median	18
Q3	53.75
95-th percentile	212.95
Maximum	1227
Range	1220
Interquartile range (IQR)	42.5

Descriptive statistics

Standard deviation	210.56535
Coefficient of variation (CV)	2.6369141
Kurtosis	28.759924
Mean	79.852941
Median Absolute Deviation (MAD)	11
Skewness	5.2097722
Sum	2715
Variance	44337.766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
8	3	8.8%
7	2	5.9%
14	2	5.9%
34	2	5.9%
12	2	5.9%
13	2	5.9%
10	2	5.9%
1227	1	2.9%
186	1	2.9%
110	1	2.9%
Other values (16)	16	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	2	5.9%
8	3	8.8%
9	1	2.9%
10	2	5.9%
11	1	2.9%
12	2	5.9%
13	2	5.9%
14	2	5.9%
15	1	2.9%
16	1	2.9%

Value	Count	Frequency (%)
1227	1	2.9%
263	1	2.9%
186	1	2.9%
125	1	2.9%
110	1	2.9%
106	1	2.9%
98	1	2.9%
83	1	2.9%
54	1	2.9%
53	1	2.9%

제주
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	55.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.705882

Minimum	1
Maximum	377
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	438.0 B

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	9.5
Q3	20
95-th percentile	52.05
Maximum	377
Range	376
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	63.704112
Coefficient of variation (CV)	2.5784998
Kurtosis	30.71567
Mean	24.705882
Median Absolute Deviation (MAD)	6
Skewness	5.4320337
Sum	840
Variance	4058.2139
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
4	5	14.7%
10	4	11.8%
6	4	11.8%
3	4	11.8%
8	2	5.9%
17	2	5.9%
1	1	2.9%
377	1	2.9%
51	1	2.9%
38	1	2.9%
Other values (9)	9	26.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.9%
3	4	11.8%
4	5	14.7%
6	4	11.8%
8	2	5.9%
9	1	2.9%
10	4	11.8%
14	1	2.9%
16	1	2.9%
17	2	5.9%

Value	Count	Frequency (%)
377	1	2.9%
54	1	2.9%
51	1	2.9%
38	1	2.9%
33	1	2.9%
29	1	2.9%
28	1	2.9%
23	1	2.9%
21	1	2.9%
17	2	5.9%

Phik (φk)
Auto

Heatmap
Table

	구분	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
서울	1.000	1.000	0.649	0.649	0.863	0.690	0.784	0.951	0.813	0.813	0.733	0.690	0.733	0.716	0.716	0.716	0.938	0.716
부산	1.000	0.649	1.000	1.000	0.958	0.973	0.964	0.692	0.964	0.964	0.973	0.973	0.973	0.986	0.986	0.986	1.000	0.986
대구	1.000	0.649	1.000	1.000	0.958	0.973	0.964	0.692	0.964	0.964	0.973	0.973	0.973	0.986	0.986	0.986	1.000	0.986
인천	1.000	0.863	0.958	0.958	1.000	0.962	0.979	0.829	0.997	0.997	0.990	0.962	0.990	0.977	0.977	0.977	0.755	0.977
광주	1.000	0.690	0.973	0.973	0.962	1.000	0.970	0.746	0.970	0.970	0.980	1.000	0.980	0.994	0.994	0.994	0.829	0.994
대전	1.000	0.784	0.964	0.964	0.979	0.970	1.000	0.774	0.987	0.987	0.970	0.970	0.970	0.947	0.947	0.947	0.719	0.947
세종	1.000	0.951	0.692	0.692	0.829	0.746	0.774	1.000	0.823	0.823	0.842	0.746	0.842	0.736	0.736	0.736	0.952	0.736
울산	1.000	0.813	0.964	0.964	0.997	0.970	0.987	0.823	1.000	1.000	0.996	0.970	0.996	0.985	0.985	0.985	0.783	0.985
경기	1.000	0.813	0.964	0.964	0.997	0.970	0.987	0.823	1.000	1.000	0.996	0.970	0.996	0.985	0.985	0.985	0.783	0.985
강원	1.000	0.733	0.973	0.973	0.990	0.980	0.970	0.842	0.996	0.996	1.000	0.980	1.000	0.994	0.994	0.994	0.829	0.994
충북	1.000	0.690	0.973	0.973	0.962	1.000	0.970	0.746	0.970	0.970	0.980	1.000	0.980	0.994	0.994	0.994	0.829	0.994
충남	1.000	0.733	0.973	0.973	0.990	0.980	0.970	0.842	0.996	0.996	1.000	0.980	1.000	0.994	0.994	0.994	0.829	0.994
경북	1.000	0.716	0.986	0.986	0.977	0.994	0.947	0.736	0.985	0.985	0.994	0.994	0.994	1.000	1.000	1.000	1.000	1.000
경남	1.000	0.716	0.986	0.986	0.977	0.994	0.947	0.736	0.985	0.985	0.994	0.994	0.994	1.000	1.000	1.000	1.000	1.000
전북	1.000	0.716	0.986	0.986	0.977	0.994	0.947	0.736	0.985	0.985	0.994	0.994	0.994	1.000	1.000	1.000	1.000	1.000
전남	1.000	0.938	1.000	1.000	0.755	0.829	0.719	0.952	0.783	0.783	0.829	0.829	0.829	1.000	1.000	1.000	1.000	1.000
제주	1.000	0.716	0.986	0.986	0.977	0.994	0.947	0.736	0.985	0.985	0.994	0.994	0.994	1.000	1.000	1.000	1.000	1.000

Heatmap
Table

	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
서울	1.000	0.786	0.823	0.859	0.769	0.848	0.916	0.630	0.935	0.897	0.850	0.889	0.834	0.895	0.847	0.843	0.851
부산	0.786	1.000	0.881	0.865	0.879	0.907	0.779	0.707	0.877	0.864	0.854	0.791	0.858	0.903	0.851	0.894	0.792
대구	0.823	0.881	1.000	0.907	0.888	0.839	0.849	0.785	0.886	0.870	0.880	0.880	0.887	0.910	0.849	0.880	0.891
인천	0.859	0.865	0.907	1.000	0.844	0.846	0.854	0.824	0.885	0.892	0.846	0.892	0.902	0.921	0.861	0.878	0.800
광주	0.769	0.879	0.888	0.844	1.000	0.846	0.815	0.811	0.864	0.840	0.913	0.835	0.868	0.907	0.818	0.858	0.853
대전	0.848	0.907	0.839	0.846	0.846	1.000	0.818	0.688	0.918	0.889	0.857	0.846	0.881	0.928	0.824	0.883	0.838
세종	0.916	0.779	0.849	0.854	0.815	0.818	1.000	0.679	0.912	0.908	0.862	0.866	0.842	0.878	0.895	0.843	0.880
울산	0.630	0.707	0.785	0.824	0.811	0.688	0.679	1.000	0.716	0.736	0.736	0.747	0.784	0.772	0.696	0.652	0.665
경기	0.935	0.877	0.886	0.885	0.864	0.918	0.912	0.716	1.000	0.918	0.900	0.905	0.876	0.931	0.895	0.881	0.863
강원	0.897	0.864	0.870	0.892	0.840	0.889	0.908	0.736	0.918	1.000	0.849	0.866	0.882	0.907	0.874	0.846	0.866
충북	0.850	0.854	0.880	0.846	0.913	0.857	0.862	0.736	0.900	0.849	1.000	0.881	0.862	0.905	0.841	0.886	0.856
충남	0.889	0.791	0.880	0.892	0.835	0.846	0.866	0.747	0.905	0.866	0.881	1.000	0.862	0.933	0.853	0.866	0.887
경북	0.834	0.858	0.887	0.902	0.868	0.881	0.842	0.784	0.876	0.882	0.862	0.862	1.000	0.881	0.930	0.883	0.862
경남	0.895	0.903	0.910	0.921	0.907	0.928	0.878	0.772	0.931	0.907	0.905	0.933	0.881	1.000	0.839	0.902	0.875
전북	0.847	0.851	0.849	0.861	0.818	0.824	0.895	0.696	0.895	0.874	0.841	0.853	0.930	0.839	1.000	0.881	0.831
전남	0.843	0.894	0.880	0.878	0.858	0.883	0.843	0.652	0.881	0.846	0.886	0.866	0.883	0.902	0.881	1.000	0.882
제주	0.851	0.792	0.891	0.800	0.853	0.838	0.880	0.665	0.863	0.866	0.856	0.887	0.862	0.875	0.831	0.882	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	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
0	1년미만	1284	155	67	120	58	111	53	43	571	97	74	105	79	89	83	106	28
1	1년이상	1109	140	68	123	63	125	96	44	526	126	78	141	95	141	91	125	29
2	2년	834	112	58	110	54	67	62	24	357	63	57	76	73	108	63	98	33
3	3년	790	141	70	131	73	91	77	44	610	171	155	211	287	224	192	263	54
4	4년	386	47	43	40	18	45	45	9	217	63	35	51	66	59	46	54	21
5	5년	348	39	40	39	19	39	26	12	175	48	17	30	53	42	43	34	16
6	6년	206	30	24	22	18	26	18	3	97	22	17	22	28	31	33	34	10
7	7년	190	20	21	18	14	18	24	1	96	25	18	23	14	16	18	20	14
8	8년	127	14	15	14	17	39	14	7	83	25	22	22	23	23	11	12	10
9	9년	100	15	20	12	6	16	8	2	52	13	6	13	10	13	10	16	10

	구분	서울	부산	대구	인천	광주	대전	세종	울산	경기	강원	충북	충남	경북	경남	전북	전남	제주
24	24년	92	22	20	15	11	22	10	7	73	8	14	21	13	20	13	14	6
25	25년	124	35	23	30	14	22	11	9	68	29	12	24	17	28	14	15	17
26	26년	133	35	25	23	20	21	15	7	80	19	28	31	24	37	33	35	9
27	27년	125	48	33	43	25	29	14	13	102	23	21	32	30	37	29	31	6
28	28년	163	50	25	45	25	26	24	13	119	31	24	19	37	36	40	33	10
29	29년	173	70	40	39	26	36	34	10	133	39	24	39	36	45	49	53	17
30	30년	338	84	69	50	49	61	52	20	207	72	60	70	78	93	89	83	23
31	31년	440	161	138	86	83	111	57	30	346	104	83	94	116	104	101	110	38
32	32년	482	228	186	111	87	145	42	43	485	150	99	147	162	157	133	186	51
33	33년이상	4847	1723	1365	1044	653	947	307	347	3745	1112	802	1072	1456	1479	1189	1227	377

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