gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	35
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.9 KiB
Average record size in memory	173.7 B

Variable types

Categorical	2
Numeric	17

Dataset

Description	지역별(서울,부산,대구,광주, 부산 등) 연도별 임대주택 공급 세대수, 장부가 등 현황에 대한 데이터입니다. 1982년부터 시작됩니다.
Author	공무원연금공단
URL	https://www.data.go.kr/data/15052963/fileData.do

Alerts

`계` is highly overall correlated with `서울` and 10 other fields	High correlation
`서울` is highly overall correlated with `계` and 8 other fields	High correlation
`부산` is highly overall correlated with `계` and 14 other fields	High correlation
`대구` is highly overall correlated with `계` and 6 other fields	High correlation
`인천` is highly overall correlated with `부산` and 11 other fields	High correlation
`광주` is highly overall correlated with `계` and 15 other fields	High correlation
`대전` is highly overall correlated with `부산` and 11 other fields	High correlation
`울산` is highly overall correlated with `서울` and 11 other fields	High correlation
`세종` is highly overall correlated with `계` and 17 other fields	High correlation
`경기` is highly overall correlated with `계` and 4 other fields	High correlation
`강원` is highly overall correlated with `부산` and 12 other fields	High correlation
`충북` is highly overall correlated with `부산` and 11 other fields	High correlation
`충남` is highly overall correlated with `광주` and 6 other fields	High correlation
`전북` is highly overall correlated with `부산` and 12 other fields	High correlation
`전남` is highly overall correlated with `계` and 13 other fields	High correlation
`경북` is highly overall correlated with `계` and 12 other fields	High correlation
`경남` is highly overall correlated with `계` and 12 other fields	High correlation
`제주` is highly overall correlated with `계` and 5 other fields	High correlation
`구분` is highly overall correlated with `계` and 17 other fields	High correlation
`세종` is highly imbalanced (68.1%)	Imbalance
`구분` has unique values	Unique
`서울` has 15 (42.9%) zeros	Zeros
`부산` has 19 (54.3%) zeros	Zeros
`대구` has 20 (57.1%) zeros	Zeros
`인천` has 16 (45.7%) zeros	Zeros
`광주` has 18 (51.4%) zeros	Zeros
`대전` has 15 (42.9%) zeros	Zeros
`울산` has 27 (77.1%) zeros	Zeros
`경기` has 8 (22.9%) zeros	Zeros
`강원` has 10 (28.6%) zeros	Zeros
`충북` has 16 (45.7%) zeros	Zeros
`충남` has 23 (65.7%) zeros	Zeros
`전북` has 15 (42.9%) zeros	Zeros
`전남` has 15 (42.9%) zeros	Zeros
`경북` has 8 (22.9%) zeros	Zeros
`경남` has 12 (34.3%) zeros	Zeros
`제주` has 28 (80.0%) zeros	Zeros

Reproduction

Analysis started	2023-06-12 13:56:04.548215
Analysis finished	2023-06-12 13:57:14.125450
Duration	1 minute and 9.58 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

구분
Categorical

HIGH CORRELATION UNIQUE

Distinct	35
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	408.0 B

장부가	1
1996	1
1982	1
1983	1
1984	1
Other values (30)	30

Length

Max length	4
Median length	4
Mean length	3.9142857
Min length	2

Unique

Unique	35 ?
Unique (%)	100.0%

Sample

1st row	장부가
2nd row	세대
3rd row	1982
4th row	1983
5th row	1984

Common Values

Value	Count	Frequency (%)
장부가	1	2.9%
1996	1	2.9%
1982	1	2.9%
1983	1	2.9%
1984	1	2.9%
1985	1	2.9%
1986	1	2.9%
1987	1	2.9%
2003	1	2.9%
세대	1	2.9%
Other values (25)	25	71.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
장부가	1	2.9%
2005	1	2.9%
2007	1	2.9%
2008	1	2.9%
2009	1	2.9%
2010	1	2.9%
2011	1	2.9%
2012	1	2.9%
2006	1	2.9%
2013	1	2.9%
Other values (25)	25	71.4%

계
Real number (ℝ)

Distinct	33
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	148093.74

Minimum	-2403
Maximum	5147831
Zeros	0
Zeros (%)	0.0%
Negative	15
Negative (%)	42.9%
Memory size	443.0 B

Quantile statistics

Minimum	-2403
5-th percentile	-646.5
Q1	-176
median	140
Q3	1038
95-th percentile	8808.4
Maximum	5147831
Range	5150234
Interquartile range (IQR)	1214

Descriptive statistics

Standard deviation	869971.86
Coefficient of variation (CV)	5.8744674
Kurtosis	34.998974
Mean	148093.74
Median Absolute Deviation (MAD)	439
Skewness	5.9159535
Sum	5183281
Variance	7.5685104 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
121	2	5.7%
-299	2	5.7%
2640	1	2.9%
-353	1	2.9%
-244	1	2.9%
-109	1	2.9%
364	1	2.9%
-20	1	2.9%
-17	1	2.9%
360	1	2.9%
Other values (23)	23	65.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2403	1	2.9%
-664	1	2.9%
-639	1	2.9%
-353	1	2.9%
-299	2	5.7%
-293	1	2.9%
-244	1	2.9%
-243	1	2.9%
-109	1	2.9%
-101	1	2.9%

Value	Count	Frequency (%)
5147831	1	2.9%
17725	1	2.9%
4987	1	2.9%
2920	1	2.9%
2875	1	2.9%
2650	1	2.9%
2640	1	2.9%
1211	1	2.9%
1072	1	2.9%
1004	1	2.9%

서울
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	19
Distinct (%)	54.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48980.314

Minimum	-1694
Maximum	1708711
Zeros	15
Zeros (%)	42.9%
Negative	13
Negative (%)	37.1%
Memory size	443.0 B

Quantile statistics

Minimum	-1694
5-th percentile	-243.4
Q1	-6.5
median	0
Q3	0
95-th percentile	2506
Maximum	1708711
Range	1710405
Interquartile range (IQR)	6.5

Descriptive statistics

Standard deviation	288798.09
Coefficient of variation (CV)	5.8962075
Kurtosis	34.999439
Mean	48980.314
Median Absolute Deviation (MAD)	4
Skewness	5.9160107
Sum	1714311
Variance	8.340434 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	15	42.9%
-7	2	5.7%
-2	2	5.7%
-23	1	2.9%
-690	1	2.9%
690	1	2.9%
2380	1	2.9%
60	1	2.9%
104	1	2.9%
2100	1	2.9%
Other values (9)	9	25.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1694	1	2.9%
-690	1	2.9%
-52	1	2.9%
-23	1	2.9%
-21	1	2.9%
-17	1	2.9%
-9	1	2.9%
-7	2	5.7%
-6	1	2.9%
-4	1	2.9%

Value	Count	Frequency (%)
1708711	1	2.9%
2800	1	2.9%
2380	1	2.9%
2100	1	2.9%
690	1	2.9%
104	1	2.9%
60	1	2.9%
0	15	42.9%
-2	2	5.7%
-4	1	2.9%

부산
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	17
Distinct (%)	48.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6733.8857

Minimum	-566
Maximum	234102
Zeros	19
Zeros (%)	54.3%
Negative	8
Negative (%)	22.9%
Memory size	443.0 B

Quantile statistics

Minimum	-566
5-th percentile	-189.2
Q1	0
median	0
Q3	0
95-th percentile	692.6
Maximum	234102
Range	234668
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	39563.306
Coefficient of variation (CV)	5.8752565
Kurtosis	34.997218
Mean	6733.8857
Median Absolute Deviation (MAD)	0
Skewness	5.9157372
Sum	235686
Variance	1.5652552 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	19	54.3%
234102	1	2.9%
20	1	2.9%
440	1	2.9%
650	1	2.9%
210	1	2.9%
120	1	2.9%
540	1	2.9%
792	1	2.9%
-61	1	2.9%
Other values (7)	7	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-566	1	2.9%
-227	1	2.9%
-173	1	2.9%
-107	1	2.9%
-61	1	2.9%
-37	1	2.9%
-14	1	2.9%
-3	1	2.9%
0	19	54.3%
20	1	2.9%

Value	Count	Frequency (%)
234102	1	2.9%
792	1	2.9%
650	1	2.9%
540	1	2.9%
440	1	2.9%
210	1	2.9%
120	1	2.9%
20	1	2.9%
0	19	54.3%
-3	1	2.9%

대구
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	15
Distinct (%)	42.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8867.6286

Minimum	-185
Maximum	307385
Zeros	20
Zeros (%)	57.1%
Negative	8
Negative (%)	22.9%
Memory size	443.0 B

Quantile statistics

Minimum	-185
5-th percentile	-113.7
Q1	0
median	0
Q3	0
95-th percentile	944.3
Maximum	307385
Range	307570
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	51943.617
Coefficient of variation (CV)	5.8576673
Kurtosis	34.99737
Mean	8867.6286
Median Absolute Deviation (MAD)	0
Skewness	5.9157564
Sum	310367
Variance	2.6981394 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	20	57.1%
-58	2	5.7%
307385	1	2.9%
1491	1	2.9%
330	1	2.9%
260	1	2.9%
450	1	2.9%
480	1	2.9%
-94	1	2.9%
-185	1	2.9%
Other values (5)	5	14.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-185	1	2.9%
-127	1	2.9%
-108	1	2.9%
-94	1	2.9%
-69	1	2.9%
-58	2	5.7%
-40	1	2.9%
0	20	57.1%
260	1	2.9%
330	1	2.9%

Value	Count	Frequency (%)
307385	1	2.9%
1491	1	2.9%
710	1	2.9%
480	1	2.9%
450	1	2.9%
330	1	2.9%
260	1	2.9%
0	20	57.1%
-40	1	2.9%
-58	2	5.7%

인천
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	19
Distinct (%)	54.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1779.1429

Minimum	-163
Maximum	61670
Zeros	16
Zeros (%)	45.7%
Negative	13
Negative (%)	37.1%
Memory size	443.0 B

Quantile statistics

Minimum	-163
5-th percentile	-99.7
Q1	-6.5
median	0
Q3	0
95-th percentile	300
Maximum	61670
Range	61833
Interquartile range (IQR)	6.5

Descriptive statistics

Standard deviation	10421.618
Coefficient of variation (CV)	5.8576625
Kurtosis	34.993132
Mean	1779.1429
Median Absolute Deviation (MAD)	3
Skewness	5.9152348
Sum	62270
Variance	1.0861013 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	16	45.7%
300	2	5.7%
-3	1	2.9%
200	1	2.9%
100	1	2.9%
240	1	2.9%
-113	1	2.9%
-163	1	2.9%
-94	1	2.9%
-4	1	2.9%
Other values (9)	9	25.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-163	1	2.9%
-113	1	2.9%
-94	1	2.9%
-70	1	2.9%
-35	1	2.9%
-20	1	2.9%
-14	1	2.9%
-9	1	2.9%
-7	1	2.9%
-6	1	2.9%

Value	Count	Frequency (%)
61670	1	2.9%
300	2	5.7%
240	1	2.9%
200	1	2.9%
100	1	2.9%
0	16	45.7%
-2	1	2.9%
-3	1	2.9%
-4	1	2.9%
-6	1	2.9%

광주
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	18
Distinct (%)	51.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1375.6286

Minimum	-200
Maximum	47321
Zeros	18
Zeros (%)	51.4%
Negative	9
Negative (%)	25.7%
Memory size	443.0 B

Quantile statistics

Minimum	-200
5-th percentile	-92.6
Q1	-6.5
median	0
Q3	0
95-th percentile	312.9
Maximum	47321
Range	47521
Interquartile range (IQR)	6.5

Descriptive statistics

Standard deviation	7995.3749
Coefficient of variation (CV)	5.8121611
Kurtosis	34.985244
Mean	1375.6286
Median Absolute Deviation (MAD)	0
Skewness	5.9142656
Sum	48147
Variance	63926020
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	18	51.4%
413	1	2.9%
35	1	2.9%
120	1	2.9%
200	1	2.9%
270	1	2.9%
190	1	2.9%
180	1	2.9%
-14	1	2.9%
-26	1	2.9%
Other values (8)	8	22.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-200	1	2.9%
-150	1	2.9%
-68	1	2.9%
-44	1	2.9%
-40	1	2.9%
-27	1	2.9%
-26	1	2.9%
-14	1	2.9%
-13	1	2.9%
0	18	51.4%

Value	Count	Frequency (%)
47321	1	2.9%
413	1	2.9%
270	1	2.9%
200	1	2.9%
190	1	2.9%
180	1	2.9%
120	1	2.9%
35	1	2.9%
0	18	51.4%
-13	1	2.9%

대전
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7456.2571

Minimum	-95
Maximum	258117
Zeros	15
Zeros (%)	42.9%
Negative	12
Negative (%)	34.3%
Memory size	443.0 B

Quantile statistics

Minimum	-95
5-th percentile	-79.6
Q1	-21.5
median	0
Q3	0
95-th percentile	1075.3
Maximum	258117
Range	258212
Interquartile range (IQR)	21.5

Descriptive statistics

Standard deviation	43616.566
Coefficient of variation (CV)	5.8496596
Kurtosis	34.996467
Mean	7456.2571
Median Absolute Deviation (MAD)	9
Skewness	5.9156455
Sum	260969
Variance	1.9024049 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	15	42.9%
258117	1	2.9%
-1	1	2.9%
80	1	2.9%
200	1	2.9%
310	1	2.9%
60	1	2.9%
400	1	2.9%
925	1	2.9%
-88	1	2.9%
Other values (11)	11	31.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-95	1	2.9%
-88	1	2.9%
-76	1	2.9%
-66	1	2.9%
-55	1	2.9%
-47	1	2.9%
-40	1	2.9%
-36	1	2.9%
-34	1	2.9%
-9	1	2.9%

Value	Count	Frequency (%)
258117	1	2.9%
1426	1	2.9%
925	1	2.9%
400	1	2.9%
310	1	2.9%
200	1	2.9%
80	1	2.9%
60	1	2.9%
0	15	42.9%
-1	1	2.9%

울산
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	25.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1536.4

Minimum	-12
Maximum	53380
Zeros	27
Zeros (%)	77.1%
Negative	2
Negative (%)	5.7%
Memory size	443.0 B

Quantile statistics

Minimum	-12
5-th percentile	-2.4
Q1	0
median	0
Q3	0
95-th percentile	115.1
Maximum	53380
Range	53392
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9020.9854
Coefficient of variation (CV)	5.8715083
Kurtosis	34.998691
Mean	1536.4
Median Absolute Deviation (MAD)	0
Skewness	5.9159188
Sum	53774
Variance	81378177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	27	77.1%
53380	1	2.9%
197	1	2.9%
80	1	2.9%
60	1	2.9%
40	1	2.9%
-12	1	2.9%
-8	1	2.9%
37	1	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-12	1	2.9%
-8	1	2.9%
0	27	77.1%
37	1	2.9%
40	1	2.9%
60	1	2.9%
80	1	2.9%
197	1	2.9%
53380	1	2.9%

Value	Count	Frequency (%)
53380	1	2.9%
197	1	2.9%
80	1	2.9%
60	1	2.9%
40	1	2.9%
37	1	2.9%
0	27	77.1%
-8	1	2.9%
-12	1	2.9%

세종
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	408.0 B

0	31
415939	1
1661	1
632	1
1029	1

Length

Max length	6
Median length	1
Mean length	1.3714286
Min length	1

Unique

Unique	4 ?
Unique (%)	11.4%

Sample

1st row	415939
2nd row	1661
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	31	88.6%
415939	1	2.9%
1661	1	2.9%
632	1	2.9%
1029	1	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	31	88.6%
415939	1	2.9%
1661	1	2.9%
632	1	2.9%
1029	1	2.9%

경기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	26
Distinct (%)	74.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45770.657

Minimum	-132
Maximum	1591569
Zeros	8
Zeros (%)	22.9%
Negative	13
Negative (%)	37.1%
Memory size	443.0 B

Quantile statistics

Minimum	-132
5-th percentile	-102.7
Q1	-20
median	0
Q3	350
95-th percentile	2400.6
Maximum	1591569
Range	1591701
Interquartile range (IQR)	370

Descriptive statistics

Standard deviation	268974.06
Coefficient of variation (CV)	5.8765611
Kurtosis	34.999135
Mean	45770.657
Median Absolute Deviation (MAD)	73
Skewness	5.9159734
Sum	1601973
Variance	7.2347046 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	8	22.9%
-20	2	5.7%
120	2	5.7%
1200	1	2.9%
-12	1	2.9%
360	1	2.9%
295	1	2.9%
340	1	2.9%
-17	1	2.9%
-29	1	2.9%
Other values (16)	16	45.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-132	1	2.9%
-130	1	2.9%
-91	1	2.9%
-73	1	2.9%
-61	1	2.9%
-54	1	2.9%
-30	1	2.9%
-29	1	2.9%
-20	2	5.7%
-17	1	2.9%

Value	Count	Frequency (%)
1591569	1	2.9%
5202	1	2.9%
1200	1	2.9%
734	1	2.9%
701	1	2.9%
630	1	2.9%
580	1	2.9%
502	1	2.9%
360	1	2.9%
340	1	2.9%

강원
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	25
Distinct (%)	71.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	649.17143

Minimum	-147
Maximum	22399
Zeros	10
Zeros (%)	28.6%
Negative	16
Negative (%)	45.7%
Memory size	443.0 B

Quantile statistics

Minimum	-147
5-th percentile	-113.1
Q1	-17
median	0
Q3	6
95-th percentile	231
Maximum	22399
Range	22546
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	3785.6881
Coefficient of variation (CV)	5.8315692
Kurtosis	34.952934
Mean	649.17143
Median Absolute Deviation (MAD)	16
Skewness	5.910297
Sum	22721
Variance	14331434
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
0	10	28.6%
-9	2	5.7%
20	1	2.9%
280	1	2.9%
190	1	2.9%
210	1	2.9%
170	1	2.9%
100	1	2.9%
-18	1	2.9%
-10	1	2.9%
Other values (15)	15	42.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-147	1	2.9%
-118	1	2.9%
-111	1	2.9%
-104	1	2.9%
-95	1	2.9%
-72	1	2.9%
-70	1	2.9%
-24	1	2.9%
-18	1	2.9%
-16	1	2.9%

Value	Count	Frequency (%)
22399	1	2.9%
280	1	2.9%
210	1	2.9%
190	1	2.9%
170	1	2.9%
161	1	2.9%
100	1	2.9%
20	1	2.9%
12	1	2.9%
0	10	28.6%

충북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	952.4

Minimum	-80
Maximum	32910
Zeros	16
Zeros (%)	45.7%
Negative	14
Negative (%)	40.0%
Memory size	443.0 B

Quantile statistics

Minimum	-80
5-th percentile	-42.6
Q1	-17.5
median	0
Q3	0
95-th percentile	229.4
Maximum	32910
Range	32990
Interquartile range (IQR)	17.5

Descriptive statistics

Standard deviation	5561.1752
Coefficient of variation (CV)	5.8391171
Kurtosis	34.986877
Mean	952.4
Median Absolute Deviation (MAD)	6
Skewness	5.9144685
Sum	33334
Variance	30926669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	16	45.7%
212	1	2.9%
-4	1	2.9%
270	1	2.9%
208	1	2.9%
100	1	2.9%
-22	1	2.9%
-25	1	2.9%
-35	1	2.9%
-14	1	2.9%
Other values (10)	10	28.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-80	1	2.9%
-44	1	2.9%
-42	1	2.9%
-35	1	2.9%
-29	1	2.9%
-27	1	2.9%
-25	1	2.9%
-22	1	2.9%
-21	1	2.9%
-14	1	2.9%

Value	Count	Frequency (%)
32910	1	2.9%
270	1	2.9%
212	1	2.9%
208	1	2.9%
100	1	2.9%
0	16	45.7%
-4	1	2.9%
-6	1	2.9%
-7	1	2.9%
-10	1	2.9%

충남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	34.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1531.6857

Minimum	-76
Maximum	52615
Zeros	23
Zeros (%)	65.7%
Negative	7
Negative (%)	20.0%
Memory size	443.0 B

Quantile statistics

Minimum	-76
5-th percentile	-16.7
Q1	0
median	0
Q3	0
95-th percentile	483
Maximum	52615
Range	52691
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8889.3841
Coefficient of variation (CV)	5.8036607
Kurtosis	34.986808
Mean	1531.6857
Median Absolute Deviation (MAD)	0
Skewness	5.914463
Sum	53609
Variance	79021150
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	23	65.7%
-1	2	5.7%
52615	1	2.9%
497	1	2.9%
100	1	2.9%
44	1	2.9%
-23	1	2.9%
-76	1	2.9%
-5	1	2.9%
477	1	2.9%
Other values (2)	2	5.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-76	1	2.9%
-23	1	2.9%
-14	1	2.9%
-5	1	2.9%
-4	1	2.9%
-1	2	5.7%
0	23	65.7%
44	1	2.9%
100	1	2.9%
477	1	2.9%

Value	Count	Frequency (%)
52615	1	2.9%
497	1	2.9%
477	1	2.9%
100	1	2.9%
44	1	2.9%
0	23	65.7%
-1	2	5.7%
-4	1	2.9%
-5	1	2.9%
-14	1	2.9%

전북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1288.6286

Minimum	-83
Maximum	44340
Zeros	15
Zeros (%)	42.9%
Negative	13
Negative (%)	37.1%
Memory size	443.0 B

Quantile statistics

Minimum	-83
5-th percentile	-78.6
Q1	-17.5
median	0
Q3	0
95-th percentile	324.3
Maximum	44340
Range	44423
Interquartile range (IQR)	17.5

Descriptive statistics

Standard deviation	7491.7496
Coefficient of variation (CV)	5.8137386
Kurtosis	34.985524
Mean	1288.6286
Median Absolute Deviation (MAD)	11
Skewness	5.9143024
Sum	45102
Variance	56126313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	15	42.9%
300	2	5.7%
-80	1	2.9%
40	1	2.9%
90	1	2.9%
130	1	2.9%
-37	1	2.9%
-11	1	2.9%
-78	1	2.9%
-51	1	2.9%
Other values (10)	10	28.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-83	1	2.9%
-80	1	2.9%
-78	1	2.9%
-51	1	2.9%
-37	1	2.9%
-33	1	2.9%
-31	1	2.9%
-28	1	2.9%
-18	1	2.9%
-17	1	2.9%

Value	Count	Frequency (%)
44340	1	2.9%
381	1	2.9%
300	2	5.7%
130	1	2.9%
90	1	2.9%
40	1	2.9%
0	15	42.9%
-4	1	2.9%
-8	1	2.9%
-11	1	2.9%

전남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1057.9714

Minimum	-72
Maximum	36179
Zeros	15
Zeros (%)	42.9%
Negative	12
Negative (%)	34.3%
Memory size	443.0 B

Quantile statistics

Minimum	-72
5-th percentile	-71
Q1	-12.5
median	0
Q3	0
95-th percentile	359.9
Maximum	36179
Range	36251
Interquartile range (IQR)	12.5

Descriptive statistics

Standard deviation	6111.9517
Coefficient of variation (CV)	5.7770479
Kurtosis	34.979748
Mean	1057.9714
Median Absolute Deviation (MAD)	12
Skewness	5.9135971
Sum	37029
Variance	37355953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	15	42.9%
-71	2	5.7%
425	1	2.9%
-13	1	2.9%
100	1	2.9%
120	1	2.9%
122	1	2.9%
60	1	2.9%
70	1	2.9%
-6	1	2.9%
Other values (10)	10	28.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-72	1	2.9%
-71	2	5.7%
-39	1	2.9%
-36	1	2.9%
-19	1	2.9%
-16	1	2.9%
-15	1	2.9%
-13	1	2.9%
-12	1	2.9%
-9	1	2.9%

Value	Count	Frequency (%)
36179	1	2.9%
425	1	2.9%
332	1	2.9%
122	1	2.9%
120	1	2.9%
100	1	2.9%
70	1	2.9%
60	1	2.9%
0	15	42.9%
-6	1	2.9%

경북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	26
Distinct (%)	74.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1316.7714

Minimum	-62
Maximum	44875
Zeros	8
Zeros (%)	22.9%
Negative	18
Negative (%)	51.4%
Memory size	443.0 B

Quantile statistics

Minimum	-62
5-th percentile	-53
Q1	-24.5
median	-1
Q3	20
95-th percentile	482.8
Maximum	44875
Range	44937
Interquartile range (IQR)	44.5

Descriptive statistics

Standard deviation	7580.4399
Coefficient of variation (CV)	5.7568381
Kurtosis	34.975697
Mean	1316.7714
Median Absolute Deviation (MAD)	24
Skewness	5.9131034
Sum	46087
Variance	57463070
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	8	22.9%
-33	2	5.7%
-17	2	5.7%
-18	1	2.9%
-1	1	2.9%
60	1	2.9%
170	1	2.9%
203	1	2.9%
80	1	2.9%
40	1	2.9%
Other values (16)	16	45.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-62	1	2.9%
-60	1	2.9%
-50	1	2.9%
-46	1	2.9%
-34	1	2.9%
-33	2	5.7%
-30	1	2.9%
-25	1	2.9%
-24	1	2.9%
-18	1	2.9%

Value	Count	Frequency (%)
44875	1	2.9%
606	1	2.9%
430	1	2.9%
203	1	2.9%
170	1	2.9%
110	1	2.9%
80	1	2.9%
60	1	2.9%
40	1	2.9%
0	8	22.9%

경남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	23
Distinct (%)	65.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5042.0571

Minimum	-90
Maximum	174918
Zeros	12
Zeros (%)	34.3%
Negative	14
Negative (%)	40.0%
Memory size	443.0 B

Quantile statistics

Minimum	-90
5-th percentile	-58.1
Q1	-14.5
median	0
Q3	5
95-th percentile	625.1
Maximum	174918
Range	175008
Interquartile range (IQR)	19.5

Descriptive statistics

Standard deviation	29559.292
Coefficient of variation (CV)	5.8625461
Kurtosis	34.997521
Mean	5042.0571
Median Absolute Deviation (MAD)	14
Skewness	5.9157749
Sum	176472
Variance	8.7375177 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	12	34.3%
-47	2	5.7%
10	1	2.9%
200	1	2.9%
560	1	2.9%
150	1	2.9%
100	1	2.9%
70	1	2.9%
-9	1	2.9%
-34	1	2.9%
Other values (13)	13	37.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-90	1	2.9%
-84	1	2.9%
-47	2	5.7%
-45	1	2.9%
-34	1	2.9%
-20	1	2.9%
-19	1	2.9%
-15	1	2.9%
-14	1	2.9%
-9	1	2.9%

Value	Count	Frequency (%)
174918	1	2.9%
777	1	2.9%
560	1	2.9%
200	1	2.9%
150	1	2.9%
128	1	2.9%
100	1	2.9%
70	1	2.9%
10	1	2.9%
0	12	34.3%

제주
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1776.2571

Minimum	-53
Maximum	61401
Zeros	28
Zeros (%)	80.0%
Negative	3
Negative (%)	8.6%
Memory size	443.0 B

Quantile statistics

Minimum	-53
5-th percentile	-24.3
Q1	0
median	0
Q3	0
95-th percentile	354.6
Maximum	61401
Range	61454
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10375.24
Coefficient of variation (CV)	5.8410686
Kurtosis	34.994189
Mean	1776.2571
Median Absolute Deviation (MAD)	0
Skewness	5.915366
Sum	62169
Variance	1.076456 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	28	80.0%
-53	2	5.7%
61401	1	2.9%
384	1	2.9%
160	1	2.9%
342	1	2.9%
-12	1	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-53	2	5.7%
-12	1	2.9%
0	28	80.0%
160	1	2.9%
342	1	2.9%
384	1	2.9%
61401	1	2.9%

Value	Count	Frequency (%)
61401	1	2.9%
384	1	2.9%
342	1	2.9%
160	1	2.9%
0	28	80.0%
-12	1	2.9%
-53	2	5.7%

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
계	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	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
부산	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	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
인천	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
광주	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
대전	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	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	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
경기	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
강원	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
충북	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
충남	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
전북	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
전남	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
경북	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
경남	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
제주	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

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
계	1.000	0.722	0.641	0.597	0.417	0.546	0.482	0.497	0.434	0.718	0.413	0.384	0.418	0.468	0.542	0.628	0.533	0.572
서울	0.722	1.000	0.636	0.607	0.369	0.583	0.354	0.565	0.299	0.574	0.353	0.342	0.408	0.373	0.607	0.397	0.411	0.453
부산	0.641	0.636	1.000	0.401	0.754	0.768	0.625	0.751	0.225	0.352	0.706	0.690	0.393	0.775	0.566	0.564	0.794	0.507
대구	0.597	0.607	0.401	1.000	0.420	0.508	0.433	0.439	0.353	0.351	0.546	0.409	0.405	0.487	0.487	0.515	0.389	0.333
인천	0.417	0.369	0.754	0.420	1.000	0.751	0.810	0.678	0.118	0.073	0.762	0.739	0.460	0.820	0.527	0.551	0.739	0.413
광주	0.546	0.583	0.768	0.508	0.751	1.000	0.742	0.722	0.198	0.290	0.752	0.803	0.622	0.888	0.772	0.626	0.757	0.427
대전	0.482	0.354	0.625	0.433	0.810	0.742	1.000	0.587	0.157	0.093	0.711	0.665	0.558	0.739	0.554	0.497	0.676	0.345
울산	0.497	0.565	0.751	0.439	0.678	0.722	0.587	1.000	0.376	0.393	0.640	0.585	0.303	0.619	0.641	0.431	0.641	0.446
세종	0.434	0.299	0.225	0.353	0.118	0.198	0.157	0.376	1.000	0.366	0.106	0.034	0.386	0.258	0.358	0.322	0.162	0.431
경기	0.718	0.574	0.352	0.351	0.073	0.290	0.093	0.393	0.366	1.000	0.065	0.186	0.117	0.134	0.313	0.325	0.218	0.565
강원	0.413	0.353	0.706	0.546	0.762	0.752	0.711	0.640	0.106	0.065	1.000	0.730	0.426	0.820	0.585	0.649	0.754	0.179
충북	0.384	0.342	0.690	0.409	0.739	0.803	0.665	0.585	0.034	0.186	0.730	1.000	0.424	0.792	0.612	0.622	0.685	0.423
충남	0.418	0.408	0.393	0.405	0.460	0.622	0.558	0.303	0.386	0.117	0.426	0.424	1.000	0.597	0.615	0.409	0.507	0.259
전북	0.468	0.373	0.775	0.487	0.820	0.888	0.739	0.619	0.258	0.134	0.820	0.792	0.597	1.000	0.657	0.638	0.816	0.387
전남	0.542	0.607	0.566	0.487	0.527	0.772	0.554	0.641	0.358	0.313	0.585	0.612	0.615	0.657	1.000	0.627	0.491	0.476
경북	0.628	0.397	0.564	0.515	0.551	0.626	0.497	0.431	0.322	0.325	0.649	0.622	0.409	0.638	0.627	1.000	0.651	0.581
경남	0.533	0.411	0.794	0.389	0.739	0.757	0.676	0.641	0.162	0.218	0.754	0.685	0.507	0.816	0.491	0.651	1.000	0.371
제주	0.572	0.453	0.507	0.333	0.413	0.427	0.345	0.446	0.431	0.565	0.179	0.423	0.259	0.387	0.476	0.581	0.371	1.000

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
계	1.000	0.593	0.524	0.482	0.311	0.434	0.352	0.418	0.360	0.548	0.289	0.296	0.345	0.370	0.429	0.475	0.400	0.481
서울	0.593	1.000	0.539	0.518	0.268	0.500	0.272	0.496	0.258	0.442	0.249	0.268	0.355	0.287	0.510	0.335	0.309	0.407
부산	0.524	0.539	1.000	0.329	0.662	0.679	0.522	0.703	0.196	0.274	0.589	0.593	0.352	0.685	0.490	0.472	0.685	0.469
대구	0.482	0.518	0.329	1.000	0.359	0.414	0.353	0.389	0.319	0.274	0.429	0.345	0.342	0.409	0.405	0.425	0.310	0.295
인천	0.311	0.268	0.662	0.359	1.000	0.616	0.710	0.612	0.093	0.071	0.621	0.634	0.388	0.717	0.432	0.439	0.660	0.372
광주	0.434	0.500	0.679	0.414	0.616	1.000	0.619	0.664	0.171	0.234	0.637	0.672	0.562	0.774	0.697	0.542	0.650	0.385
대전	0.352	0.272	0.522	0.353	0.710	0.619	1.000	0.521	0.135	0.086	0.555	0.545	0.470	0.668	0.441	0.411	0.566	0.307
울산	0.418	0.496	0.703	0.389	0.612	0.664	0.521	1.000	0.354	0.350	0.557	0.514	0.270	0.556	0.573	0.380	0.574	0.431
세종	0.360	0.258	0.196	0.319	0.093	0.171	0.135	0.354	1.000	0.310	0.082	0.016	0.356	0.222	0.313	0.269	0.130	0.412
경기	0.548	0.442	0.274	0.274	0.071	0.234	0.086	0.350	0.310	1.000	0.075	0.156	0.093	0.118	0.278	0.255	0.176	0.487
강원	0.289	0.249	0.589	0.429	0.621	0.637	0.555	0.557	0.082	0.075	1.000	0.605	0.342	0.693	0.496	0.524	0.652	0.142
충북	0.296	0.268	0.593	0.345	0.634	0.672	0.545	0.514	0.016	0.156	0.605	1.000	0.383	0.683	0.525	0.486	0.569	0.375
충남	0.345	0.355	0.352	0.342	0.388	0.562	0.470	0.270	0.356	0.093	0.342	0.383	1.000	0.519	0.549	0.362	0.441	0.236
전북	0.370	0.287	0.685	0.409	0.717	0.774	0.668	0.556	0.222	0.118	0.693	0.683	0.519	1.000	0.569	0.538	0.710	0.351
전남	0.429	0.510	0.490	0.405	0.432	0.697	0.441	0.573	0.313	0.278	0.496	0.525	0.549	0.569	1.000	0.554	0.427	0.422
경북	0.475	0.335	0.472	0.425	0.439	0.542	0.411	0.380	0.269	0.255	0.524	0.486	0.362	0.538	0.554	1.000	0.540	0.504
경남	0.400	0.309	0.685	0.310	0.660	0.650	0.566	0.574	0.130	0.176	0.652	0.569	0.441	0.710	0.427	0.540	1.000	0.326
제주	0.481	0.407	0.469	0.295	0.372	0.385	0.307	0.431	0.412	0.487	0.142	0.375	0.236	0.351	0.422	0.504	0.326	1.000

Heatmap
Table

	구분	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	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	0.662	0.660	0.660	0.660	0.662	0.662	0.662	1.000	0.660	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
서울	1.000	0.662	1.000	0.660	0.660	0.660	0.662	0.662	0.662	1.000	0.660	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
부산	1.000	0.660	0.660	1.000	0.660	0.660	0.660	0.662	0.662	1.000	0.662	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
대구	1.000	0.660	0.660	0.660	1.000	0.660	0.660	0.662	0.662	1.000	0.660	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
인천	1.000	0.660	0.660	0.660	0.660	1.000	0.660	0.662	0.662	1.000	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662	0.662
광주	1.000	0.662	0.662	0.660	0.660	0.660	1.000	0.662	0.662	1.000	0.660	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
대전	1.000	0.662	0.662	0.662	0.662	0.662	0.662	1.000	0.663	1.000	0.662	0.662	0.663	0.663	0.663	0.663	0.663	0.663	0.663
울산	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	1.000	1.000	0.662	0.662	0.663	0.663	0.663	0.663	0.663	0.663	0.663
세종	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
경기	1.000	0.660	0.660	0.662	0.660	0.660	0.660	0.662	0.662	1.000	1.000	0.660	0.662	0.662	0.662	0.662	0.662	0.662	0.662
강원	1.000	0.660	0.660	0.660	0.660	0.662	0.660	0.662	0.662	1.000	0.660	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.662
충북	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	1.000	0.663	0.663	0.663	0.663	0.663	0.663
충남	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	1.000	0.663	0.663	0.663	0.663	0.663
전북	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	0.663	1.000	0.663	0.663	0.663	0.663
전남	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	0.663	0.663	1.000	0.663	0.663	0.663
경북	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	0.663	0.663	0.663	1.000	0.663	0.663
경남	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	0.663	0.663	0.663	0.663	1.000	0.663
제주	1.000	0.662	0.662	0.662	0.662	0.662	0.662	0.663	0.663	1.000	0.662	0.662	0.663	0.663	0.663	0.663	0.663	0.663	1.000

Heatmap
Table

	세종	구분
세종	1.000	1.000
구분	1.000	1.000

Heatmap
Table

	계	서울	부산	대구	인천	광주	대전	울산	경기	강원	충북	충남	전북	전남	경북	경남	제주	구분	세종
계	1.000	0.722	0.641	0.597	0.417	0.546	0.482	0.497	0.718	0.413	0.384	0.418	0.468	0.542	0.628	0.533	0.572	1.000	0.953
서울	0.722	1.000	0.636	0.607	0.369	0.583	0.354	0.565	0.574	0.353	0.342	0.408	0.373	0.607	0.397	0.411	0.453	1.000	0.953
부산	0.641	0.636	1.000	0.401	0.754	0.768	0.625	0.751	0.352	0.706	0.690	0.393	0.775	0.566	0.564	0.794	0.507	1.000	0.953
대구	0.597	0.607	0.401	1.000	0.420	0.508	0.433	0.439	0.351	0.546	0.409	0.405	0.487	0.487	0.515	0.389	0.333	1.000	0.953
인천	0.417	0.369	0.754	0.420	1.000	0.751	0.810	0.678	0.073	0.762	0.739	0.460	0.820	0.527	0.551	0.739	0.413	1.000	0.953
광주	0.546	0.583	0.768	0.508	0.751	1.000	0.742	0.722	0.290	0.752	0.803	0.622	0.888	0.772	0.626	0.757	0.427	1.000	0.953
대전	0.482	0.354	0.625	0.433	0.810	0.742	1.000	0.587	0.093	0.711	0.665	0.558	0.739	0.554	0.497	0.676	0.345	1.000	0.953
울산	0.497	0.565	0.751	0.439	0.678	0.722	0.587	1.000	0.393	0.640	0.585	0.303	0.619	0.641	0.431	0.641	0.446	1.000	0.953
경기	0.718	0.574	0.352	0.351	0.073	0.290	0.093	0.393	1.000	0.065	0.186	0.117	0.134	0.313	0.325	0.218	0.565	1.000	0.953
강원	0.413	0.353	0.706	0.546	0.762	0.752	0.711	0.640	0.065	1.000	0.730	0.426	0.820	0.585	0.649	0.754	0.179	1.000	0.953
충북	0.384	0.342	0.690	0.409	0.739	0.803	0.665	0.585	0.186	0.730	1.000	0.424	0.792	0.612	0.622	0.685	0.423	1.000	0.953
충남	0.418	0.408	0.393	0.405	0.460	0.622	0.558	0.303	0.117	0.426	0.424	1.000	0.597	0.615	0.409	0.507	0.259	1.000	0.953
전북	0.468	0.373	0.775	0.487	0.820	0.888	0.739	0.619	0.134	0.820	0.792	0.597	1.000	0.657	0.638	0.816	0.387	1.000	0.953
전남	0.542	0.607	0.566	0.487	0.527	0.772	0.554	0.641	0.313	0.585	0.612	0.615	0.657	1.000	0.627	0.491	0.476	1.000	0.953
경북	0.628	0.397	0.564	0.515	0.551	0.626	0.497	0.431	0.325	0.649	0.622	0.409	0.638	0.627	1.000	0.651	0.581	1.000	0.953
경남	0.533	0.411	0.794	0.389	0.739	0.757	0.676	0.641	0.218	0.754	0.685	0.507	0.816	0.491	0.651	1.000	0.371	1.000	0.953
제주	0.572	0.453	0.507	0.333	0.413	0.427	0.345	0.446	0.565	0.179	0.423	0.259	0.387	0.476	0.581	0.371	1.000	1.000	0.953
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
세종	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	0.953	1.000	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	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
0	장부가	5147831	1708711	234102	307385	61670	47321	258117	53380	415939	1591569	22399	32910	52615	44340	36179	44875	174918	61401
1	세대	17725	2800	792	1491	300	413	1426	197	1661	5202	161	212	497	381	425	606	777	384
2	1982	2920	0	440	330	300	120	80	80	0	360	280	270	0	300	100	60	200	0
3	1983	2875	690	0	260	0	200	200	0	0	295	190	0	100	90	120	170	560	0
4	1984	4987	2380	650	450	0	270	0	0	0	0	210	208	44	300	122	203	150	0
5	1985	2650	60	210	480	200	190	310	60	0	340	170	100	0	130	60	80	100	160
6	1986	1004	104	120	0	100	180	60	40	0	120	100	0	0	0	70	40	70	0
7	1987	360	0	0	0	240	0	0	0	0	120	0	0	0	0	0	0	0	0
8	1988	2640	2100	540	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
9	1996	-17	0	0	0	0	0	0	0	0	-17	0	0	0	0	0	0	0	0

	구분	계	서울	부산	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
25	2012	383	0	0	-6	0	-2	0	0	502	-70	0	0	-8	0	-25	-8	0
26	2013	1211	0	0	-14	0	-36	0	632	701	-16	-42	0	0	0	0	-14	0
27	2014	643	-2	-37	-20	-68	-34	0	1029	-14	-72	-80	0	-28	0	-12	-19	0
28	2015	515	-21	-227	-35	-150	-95	-12	0	580	-118	-7	-5	-83	-39	430	-45	342
29	2016	-664	-17	-566	-70	-44	-40	-8	0	-132	-15	-27	477	-31	-72	-46	-20	-53
30	2017	-2403	-1694	-173	-7	-200	-47	0	0	-61	0	-10	-14	-33	-71	-33	-7	-53
31	2018	-101	-4	-14	-2	0	0	0	0	-12	0	-4	-4	-4	-13	-17	-15	-12
32	2019	-34	-2	0	-3	0	0	0	0	-20	0	0	-1	0	0	-6	-2	0
33	2020	-639	-690	0	0	0	0	0	0	0	12	0	0	40	0	-1	0	0
34	2021	121	0	20	0	35	-1	37	0	0	20	0	0	0	0	0	10	0

Overview

Variables

Common Values

Length

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample