gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	21
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.6 KiB
Average record size in memory	176.3 B

Variable types

Text	1
Numeric	16
Categorical	2

Dataset

Description	평형별 지역별(광역시, 도) 임대주택 현황(장부가, 세대수)에 대한 데이터입니다. 39.67제곱미터에서 112.40제곱미터까지 데이터를 제공하고 있습니다.
URL	https://www.data.go.kr/data/15054039/fileData.do

Alerts

`인천` 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
`계` is highly overall correlated with `서울` and 14 other fields	High correlation
`서울` is highly overall correlated with `계` and 10 other fields	High correlation
`부산` is highly overall correlated with `계` and 13 other fields	High correlation
`대구` is highly overall correlated with `계` and 12 other fields	High correlation
`광주` is highly overall correlated with `계` and 10 other fields	High correlation
`대전` is highly overall correlated with `계` and 14 other fields	High correlation
`울산` is highly overall correlated with `계` and 15 other fields	High correlation
`세종` is highly overall correlated with `계` and 8 other fields	High correlation
`경기` is highly overall correlated with `계` and 13 other fields	High correlation
`강원` is highly overall correlated with `대구` and 7 other fields	High correlation
`충북` is highly overall correlated with `대구` and 7 other fields	High correlation
`충남` is highly overall correlated with `계` and 13 other fields	High correlation
`전북` is highly overall correlated with `계` and 8 other fields	High correlation
`전남` is highly overall correlated with `계` and 14 other fields	High correlation
`경남` is highly overall correlated with `계` and 15 other fields	High correlation
`제주` is highly overall correlated with `계` and 13 other fields	High correlation
`인천` is highly imbalanced (53.3%)	Imbalance
`경북` is highly imbalanced (54.4%)	Imbalance
`구분` has unique values	Unique
`계` has unique values	Unique
`서울` has 11 (52.4%) zeros	Zeros
`부산` has 11 (52.4%) zeros	Zeros
`대구` has 16 (76.2%) zeros	Zeros
`광주` has 14 (66.7%) zeros	Zeros
`대전` has 16 (76.2%) zeros	Zeros
`울산` has 16 (76.2%) zeros	Zeros
`세종` has 13 (61.9%) zeros	Zeros
`경기` has 15 (71.4%) zeros	Zeros
`강원` has 10 (47.6%) zeros	Zeros
`충북` has 16 (76.2%) zeros	Zeros
`충남` has 15 (71.4%) zeros	Zeros
`전북` has 13 (61.9%) zeros	Zeros
`전남` has 15 (71.4%) zeros	Zeros
`경남` has 16 (76.2%) zeros	Zeros
`제주` has 15 (71.4%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 08:15:09.636498
Analysis finished	2023-12-12 08:15:37.873573
Duration	28.24 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Text

UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

Length

Max length	9
Median length	9
Mean length	8.3809524
Min length	2

Characters and Unicode

Total characters	176
Distinct characters	20
Distinct categories	3 ?
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	21 ?
Unique (%)	100.0%

Sample

1st row	장부가
2nd row	세대
3rd row	18.87제곱미터
4th row	23.83제곱미터
5th row	29.49제곱미터

Value	Count	Frequency (%)
장부가	1	4.8%
56.20제곱미터	1	4.8%
82.65제곱미터	1	4.8%
79.34제곱미터	1	4.8%
76.03제곱미터	1	4.8%
72.73제곱미터	1	4.8%
69.42제곱미터	1	4.8%
66.12제곱미터	1	4.8%
62.81제곱미터	1	4.8%
59.50제곱미터	1	4.8%
Other values (11)	11	52.4%

Most occurring characters

Value	Count	Frequency (%)
곱	19	10.8%
.	19	10.8%
제	19	10.8%
미	19	10.8%
터	19	10.8%
2	11	6.2%
9	11	6.2%
6	10	5.7%
8	9	5.1%
5	8	4.5%
Other values (10)	32	18.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	81	46.0%
Decimal Number	76	43.2%
Other Punctuation	19	10.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	11	14.5%
9	11	14.5%
6	10	13.2%
8	9	11.8%
5	8	10.5%
4	8	10.5%
3	7	9.2%
7	6	7.9%
0	3	3.9%
1	3	3.9%

Other Letter

Value	Count	Frequency (%)
곱	19	23.5%
제	19	23.5%
미	19	23.5%
터	19	23.5%
부	1	1.2%
대	1	1.2%
세	1	1.2%
가	1	1.2%
장	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	95	54.0%
Hangul	81	46.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	19	20.0%
2	11	11.6%
9	11	11.6%
6	10	10.5%
8	9	9.5%
5	8	8.4%
4	8	8.4%
3	7	7.4%
7	6	6.3%
0	3	3.2%

Hangul

Value	Count	Frequency (%)
곱	19	23.5%
제	19	23.5%
미	19	23.5%
터	19	23.5%
부	1	1.2%
대	1	1.2%
세	1	1.2%
가	1	1.2%
장	1	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95	54.0%
Hangul	81	46.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
곱	19	23.5%
제	19	23.5%
미	19	23.5%
터	19	23.5%
부	1	1.2%
대	1	1.2%
세	1	1.2%
가	1	1.2%
장	1	1.2%

ASCII

Value	Count	Frequency (%)
.	19	20.0%
2	11	11.6%
9	11	11.6%
6	10	10.5%
8	9	9.5%
5	8	8.4%
4	8	8.4%
3	7	7.4%
7	6	6.3%
0	3	3.2%

계
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	21
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	268922.38

Minimum	28
Maximum	5608438
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	28
5-th percentile	29
Q1	78
median	340
Q3	954
95-th percentile	19466
Maximum	5608438
Range	5608410
Interquartile range (IQR)	876

Descriptive statistics

Standard deviation	1223444.9
Coefficient of variation (CV)	4.5494352
Kurtosis	20.999347
Mean	268922.38
Median Absolute Deviation (MAD)	311
Skewness	4.5824738
Sum	5647370
Variance	1.4968175 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
5608438	1	4.8%
19466	1	4.8%
3734	1	4.8%
277	1	4.8%
68	1	4.8%
340	1	4.8%
192	1	4.8%
553	1	4.8%
208	1	4.8%
34	1	4.8%
Other values (11)	11	52.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28	1	4.8%
29	1	4.8%
34	1	4.8%
48	1	4.8%
68	1	4.8%
78	1	4.8%
192	1	4.8%
208	1	4.8%
211	1	4.8%
277	1	4.8%

Value	Count	Frequency (%)
5608438	1	4.8%
19466	1	4.8%
8912	1	4.8%
3734	1	4.8%
1453	1	4.8%
954	1	4.8%
861	1	4.8%
819	1	4.8%
667	1	4.8%
553	1	4.8%

서울
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	11
Distinct (%)	52.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	104652

Minimum	0
Maximum	2188686
Zeros	11
Zeros (%)	52.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	700
95-th percentile	4503
Maximum	2188686
Range	2188686
Interquartile range (IQR)	700

Descriptive statistics

Standard deviation	477513.24
Coefficient of variation (CV)	4.5628678
Kurtosis	20.999784
Mean	104652
Median Absolute Deviation (MAD)	0
Skewness	4.582542
Sum	2197692
Variance	2.2801889 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	11	52.4%
2188686	1	4.8%
4503	1	4.8%
78	1	4.8%
48	1	4.8%
64	1	4.8%
900	1	4.8%
491	1	4.8%
1200	1	4.8%
700	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	52.4%
48	1	4.8%
64	1	4.8%
78	1	4.8%
491	1	4.8%
700	1	4.8%
900	1	4.8%
1022	1	4.8%
1200	1	4.8%
4503	1	4.8%

Value	Count	Frequency (%)
2188686	1	4.8%
4503	1	4.8%
1200	1	4.8%
1022	1	4.8%
900	1	4.8%
700	1	4.8%
491	1	4.8%
78	1	4.8%
64	1	4.8%
48	1	4.8%

부산
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	10
Distinct (%)	47.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11026.19

Minimum	0
Maximum	229966
Zeros	11
Zeros (%)	52.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	28
95-th percentile	792
Maximum	229966
Range	229966
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	50165.847
Coefficient of variation (CV)	4.5496989
Kurtosis	20.999158
Mean	11026.19
Median Absolute Deviation (MAD)	0
Skewness	4.5824444
Sum	231550
Variance	2.5166122 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	11	52.4%
5	2	9.5%
229966	1	4.8%
792	1	4.8%
32	1	4.8%
28	1	4.8%
17	1	4.8%
83	1	4.8%
22	1	4.8%
600	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	52.4%
5	2	9.5%
17	1	4.8%
22	1	4.8%
28	1	4.8%
32	1	4.8%
83	1	4.8%
600	1	4.8%
792	1	4.8%
229966	1	4.8%

Value	Count	Frequency (%)
229966	1	4.8%
792	1	4.8%
600	1	4.8%
83	1	4.8%
32	1	4.8%
28	1	4.8%
22	1	4.8%
17	1	4.8%
5	2	9.5%
0	11	52.4%

대구
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14506.048

Minimum	0
Maximum	301645
Zeros	16
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1491
Maximum	301645
Range	301645
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	65792.832
Coefficient of variation (CV)	4.535545
Kurtosis	20.998473
Mean	14506.048
Median Absolute Deviation (MAD)	0
Skewness	4.5823378
Sum	304627
Variance	4.3286967 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	16	76.2%
301645	1	4.8%
1491	1	4.8%
789	1	4.8%
164	1	4.8%
538	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	76.2%
164	1	4.8%
538	1	4.8%
789	1	4.8%
1491	1	4.8%
301645	1	4.8%

Value	Count	Frequency (%)
301645	1	4.8%
1491	1	4.8%
789	1	4.8%
538	1	4.8%
164	1	4.8%
0	16	76.2%

인천
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	23.8%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

0	17
60422	1
300	1
260	1
40	1

Length

Max length	5
Median length	1
Mean length	1.4285714
Min length	1

Unique

Unique	4 ?
Unique (%)	19.0%

Sample

1st row	60422
2nd row	300
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	17	81.0%
60422	1	4.8%
300	1	4.8%
260	1	4.8%
40	1	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	17	81.0%
60422	1	4.8%
300	1	4.8%
260	1	4.8%
40	1	4.8%

광주
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	38.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2382

Minimum	0
Maximum	49196
Zeros	14
Zeros (%)	66.7%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	30
95-th percentile	413
Maximum	49196
Range	49196
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	10726.879
Coefficient of variation (CV)	4.5033078
Kurtosis	20.995969
Mean	2382
Median Absolute Deviation (MAD)	0
Skewness	4.5819487
Sum	50022
Variance	1.1506594 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	14	66.7%
49196	1	4.8%
413	1	4.8%
30	1	4.8%
1	1	4.8%
183	1	4.8%
101	1	4.8%
98	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	66.7%
1	1	4.8%
30	1	4.8%
98	1	4.8%
101	1	4.8%
183	1	4.8%
413	1	4.8%
49196	1	4.8%

Value	Count	Frequency (%)
49196	1	4.8%
413	1	4.8%
183	1	4.8%
101	1	4.8%
98	1	4.8%
30	1	4.8%
1	1	4.8%
0	14	66.7%

대전
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12108.762

Minimum	0
Maximum	251432
Zeros	16
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1426
Maximum	251432
Range	251432
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	54837.504
Coefficient of variation (CV)	4.5287457
Kurtosis	20.997053
Mean	12108.762
Median Absolute Deviation (MAD)	0
Skewness	4.5821169
Sum	254284
Variance	3.0071518 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	16	76.2%
251432	1	4.8%
1426	1	4.8%
5	1	4.8%
1	1	4.8%
1420	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	76.2%
1	1	4.8%
5	1	4.8%
1420	1	4.8%
1426	1	4.8%
251432	1	4.8%

Value	Count	Frequency (%)
251432	1	4.8%
1426	1	4.8%
1420	1	4.8%
5	1	4.8%
1	1	4.8%
0	16	76.2%

울산
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2518.0952

Minimum	0
Maximum	52486
Zeros	16
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	197
Maximum	52486
Range	52486
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11449.202
Coefficient of variation (CV)	4.5467708
Kurtosis	20.999009
Mean	2518.0952
Median Absolute Deviation (MAD)	0
Skewness	4.5824212
Sum	52880
Variance	1.3108422 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	16	76.2%
52486	1	4.8%
197	1	4.8%
37	1	4.8%
144	1	4.8%
16	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	76.2%
16	1	4.8%
37	1	4.8%
144	1	4.8%
197	1	4.8%
52486	1	4.8%

Value	Count	Frequency (%)
52486	1	4.8%
197	1	4.8%
144	1	4.8%
37	1	4.8%
16	1	4.8%
0	16	76.2%

세종
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	42.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19662.048

Minimum	0
Maximum	409581
Zeros	13
Zeros (%)	61.9%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	277
95-th percentile	1661
Maximum	409581
Range	409581
Interquartile range (IQR)	277

Descriptive statistics

Standard deviation	89342.411
Coefficient of variation (CV)	4.5439017
Kurtosis	20.999177
Mean	19662.048
Median Absolute Deviation (MAD)	0
Skewness	4.5824475
Sum	412903
Variance	7.9820664 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	13	61.9%
409581	1	4.8%
1661	1	4.8%
384	1	4.8%
308	1	4.8%
222	1	4.8%
318	1	4.8%
152	1	4.8%
277	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	61.9%
152	1	4.8%
222	1	4.8%
277	1	4.8%
308	1	4.8%
318	1	4.8%
384	1	4.8%
1661	1	4.8%
409581	1	4.8%

Value	Count	Frequency (%)
409581	1	4.8%
1661	1	4.8%
384	1	4.8%
318	1	4.8%
308	1	4.8%
277	1	4.8%
222	1	4.8%
152	1	4.8%
0	13	61.9%

경기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76869.952

Minimum	0
Maximum	1603865
Zeros	15
Zeros (%)	71.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	176
95-th percentile	5202
Maximum	1603865
Range	1603865
Interquartile range (IQR)	176

Descriptive statistics

Standard deviation	349880.91
Coefficient of variation (CV)	4.5515952
Kurtosis	20.999336
Mean	76869.952
Median Absolute Deviation (MAD)	0
Skewness	4.5824721
Sum	1614269
Variance	1.2241665 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	15	71.4%
1603865	1	4.8%
5202	1	4.8%
2704	1	4.8%
224	1	4.8%
176	1	4.8%
2098	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	71.4%
176	1	4.8%
224	1	4.8%
2098	1	4.8%
2704	1	4.8%
5202	1	4.8%
1603865	1	4.8%

Value	Count	Frequency (%)
1603865	1	4.8%
5202	1	4.8%
2704	1	4.8%
2098	1	4.8%
224	1	4.8%
176	1	4.8%
0	15	71.4%

강원
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1196.9524

Minimum	0
Maximum	24700
Zeros	10
Zeros (%)	47.6%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	8
Q3	20
95-th percentile	218
Maximum	24700
Range	24700
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	5385.4458
Coefficient of variation (CV)	4.4992983
Kurtosis	20.996004
Mean	1196.9524
Median Absolute Deviation (MAD)	8
Skewness	4.5819546
Sum	25136
Variance	29003027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	10	47.6%
24700	1	4.8%
218	1	4.8%
29	1	4.8%
28	1	4.8%
13	1	4.8%
83	1	4.8%
14	1	4.8%
20	1	4.8%
11	1	4.8%
Other values (2)	2	9.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	47.6%
8	1	4.8%
11	1	4.8%
12	1	4.8%
13	1	4.8%
14	1	4.8%
20	1	4.8%
28	1	4.8%
29	1	4.8%
83	1	4.8%

Value	Count	Frequency (%)
24700	1	4.8%
218	1	4.8%
83	1	4.8%
29	1	4.8%
28	1	4.8%
20	1	4.8%
14	1	4.8%
13	1	4.8%
12	1	4.8%
11	1	4.8%

충북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1472.7619

Minimum	0
Maximum	30542
Zeros	16
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	193
Maximum	30542
Range	30542
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6660.8093
Coefficient of variation (CV)	4.5226654
Kurtosis	20.996931
Mean	1472.7619
Median Absolute Deviation (MAD)	0
Skewness	4.582098
Sum	30928
Variance	44366380
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	16	76.2%
30542	1	4.8%
193	1	4.8%
13	1	4.8%
20	1	4.8%
160	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	76.2%
13	1	4.8%
20	1	4.8%
160	1	4.8%
193	1	4.8%
30542	1	4.8%

Value	Count	Frequency (%)
30542	1	4.8%
193	1	4.8%
160	1	4.8%
20	1	4.8%
13	1	4.8%
0	16	76.2%

충남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2358.0952

Minimum	0
Maximum	48526
Zeros	15
Zeros (%)	71.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	35
95-th percentile	497
Maximum	48526
Range	48526
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	10579.16
Coefficient of variation (CV)	4.4863156
Kurtosis	20.992975
Mean	2358.0952
Median Absolute Deviation (MAD)	0
Skewness	4.5814843
Sum	49520
Variance	1.1191862 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	15	71.4%
48526	1	4.8%
497	1	4.8%
42	1	4.8%
35	1	4.8%
341	1	4.8%
79	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	71.4%
35	1	4.8%
42	1	4.8%
79	1	4.8%
341	1	4.8%
497	1	4.8%
48526	1	4.8%

Value	Count	Frequency (%)
48526	1	4.8%
497	1	4.8%
341	1	4.8%
79	1	4.8%
42	1	4.8%
35	1	4.8%
0	15	71.4%

전북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	42.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2336.0952

Minimum	0
Maximum	48296
Zeros	13
Zeros (%)	61.9%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	16
95-th percentile	381
Maximum	48296
Range	48296
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	10531.136
Coefficient of variation (CV)	4.508008
Kurtosis	20.996315
Mean	2336.0952
Median Absolute Deviation (MAD)	0
Skewness	4.5820024
Sum	49058
Variance	1.1090482 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	13	61.9%
48296	1	4.8%
381	1	4.8%
1	1	4.8%
10	1	4.8%
16	1	4.8%
150	1	4.8%
38	1	4.8%
166	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	61.9%
1	1	4.8%
10	1	4.8%
16	1	4.8%
38	1	4.8%
150	1	4.8%
166	1	4.8%
381	1	4.8%
48296	1	4.8%

Value	Count	Frequency (%)
48296	1	4.8%
381	1	4.8%
166	1	4.8%
150	1	4.8%
38	1	4.8%
16	1	4.8%
10	1	4.8%
1	1	4.8%
0	13	61.9%

전남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1689.8095

Minimum	0
Maximum	34636
Zeros	15
Zeros (%)	71.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	425
Maximum	34636
Range	34636
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	7549.9048
Coefficient of variation (CV)	4.4679028
Kurtosis	20.987311
Mean	1689.8095
Median Absolute Deviation (MAD)	0
Skewness	4.5806076
Sum	35486
Variance	57001062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	15	71.4%
34636	1	4.8%
425	1	4.8%
1	1	4.8%
20	1	4.8%
14	1	4.8%
390	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	71.4%
1	1	4.8%
14	1	4.8%
20	1	4.8%
390	1	4.8%
425	1	4.8%
34636	1	4.8%

Value	Count	Frequency (%)
34636	1	4.8%
425	1	4.8%
390	1	4.8%
20	1	4.8%
14	1	4.8%
1	1	4.8%
0	15	71.4%

경북
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	300.0 B

0	18
606	2
40995	1

Length

Max length	5
Median length	1
Mean length	1.3809524
Min length	1

Unique

Unique	1 ?
Unique (%)	4.8%

Sample

1st row	40995
2nd row	606
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	18	85.7%
606	2	9.5%
40995	1	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	18	85.7%
606	2	9.5%
40995	1	4.8%

경남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8262.3333

Minimum	0
Maximum	171955
Zeros	16
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	777
Maximum	171955
Range	171955
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	37507.251
Coefficient of variation (CV)	4.539547
Kurtosis	20.998576
Mean	8262.3333
Median Absolute Deviation (MAD)	0
Skewness	4.5823537
Sum	173509
Variance	1.4067939 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	16	76.2%
171955	1	4.8%
777	1	4.8%
10	1	4.8%
536	1	4.8%
231	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	76.2%
10	1	4.8%
231	1	4.8%
536	1	4.8%
777	1	4.8%
171955	1	4.8%

Value	Count	Frequency (%)
171955	1	4.8%
777	1	4.8%
536	1	4.8%
231	1	4.8%
10	1	4.8%
0	16	76.2%

제주
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2965.5714

Minimum	0
Maximum	61509
Zeros	15
Zeros (%)	71.4%
Negative	0
Negative (%)	0.0%
Memory size	321.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	12
95-th percentile	384
Maximum	61509
Range	61509
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	13414.304
Coefficient of variation (CV)	4.5233453
Kurtosis	20.997686
Mean	2965.5714
Median Absolute Deviation (MAD)	0
Skewness	4.5822153
Sum	62277
Variance	1.7994354 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	15	71.4%
61509	1	4.8%
384	1	4.8%
136	1	4.8%
12	1	4.8%
176	1	4.8%
60	1	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	71.4%
12	1	4.8%
60	1	4.8%
136	1	4.8%
176	1	4.8%
384	1	4.8%
61509	1	4.8%

Value	Count	Frequency (%)
61509	1	4.8%
384	1	4.8%
176	1	4.8%
136	1	4.8%
60	1	4.8%
12	1	4.8%
0	15	71.4%

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	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
서울	1.000	0.628	1.000	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
부산	1.000	0.628	0.628	1.000	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
대구	1.000	0.628	0.628	0.628	1.000	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
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	1.000
광주	1.000	0.628	0.628	0.628	0.628	1.000	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
대전	1.000	0.628	0.628	0.628	0.628	1.000	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
울산	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
세종	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
경기	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628
강원	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628
충북	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	1.000	0.628	0.628
충남	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	0.628	1.000	0.628	0.628
전북	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	1.000	0.628	0.628
전남	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	1.000	0.628	0.628
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	1.000
경남	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	1.000	0.628
제주	1.000	0.628	0.628	0.628	0.628	1.000	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	0.628	1.000	0.628	1.000

Heatmap
Table

	인천	경북
인천	1.000	0.943
경북	0.943	1.000

Heatmap
Table

	계	서울	부산	대구	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경남	제주	인천	경북
계	1.000	0.706	0.862	0.659	0.740	0.653	0.680	0.534	0.659	0.093	0.363	0.677	0.594	0.726	0.688	0.554	0.918	0.973
서울	0.706	1.000	0.720	0.398	0.870	0.718	0.523	0.388	0.317	0.030	0.161	0.459	0.575	0.814	0.510	0.622	0.918	0.973
부산	0.862	0.720	1.000	0.630	0.770	0.642	0.722	0.339	0.545	0.315	0.418	0.648	0.673	0.760	0.734	0.572	0.918	0.973
대구	0.659	0.398	0.630	1.000	0.473	0.622	0.810	0.395	0.918	0.524	0.598	0.770	0.437	0.563	0.832	0.563	0.918	0.973
광주	0.740	0.870	0.770	0.473	1.000	0.658	0.640	0.417	0.406	0.187	0.267	0.406	0.546	0.884	0.623	0.750	0.918	0.973
대전	0.653	0.718	0.642	0.622	0.658	1.000	0.622	0.584	0.563	0.393	0.366	0.749	0.588	0.563	0.622	0.563	0.918	0.973
울산	0.680	0.523	0.722	0.810	0.640	0.622	1.000	0.621	0.748	0.510	0.573	0.748	0.437	0.729	0.998	0.770	0.918	0.973
세종	0.534	0.388	0.339	0.395	0.417	0.584	0.621	1.000	0.509	0.193	0.228	0.492	0.321	0.503	0.598	0.548	0.918	0.973
경기	0.659	0.317	0.545	0.918	0.406	0.563	0.748	0.509	1.000	0.536	0.540	0.704	0.365	0.500	0.770	0.500	0.918	0.973
강원	0.093	0.030	0.315	0.524	0.187	0.393	0.510	0.193	0.536	1.000	0.576	0.552	0.469	0.306	0.524	0.391	0.918	0.973
충북	0.363	0.161	0.418	0.598	0.267	0.366	0.573	0.228	0.540	0.576	1.000	0.688	0.414	0.312	0.598	0.312	0.918	0.973
충남	0.677	0.459	0.648	0.770	0.406	0.749	0.748	0.492	0.704	0.552	0.688	1.000	0.663	0.500	0.770	0.500	0.918	0.973
전북	0.594	0.575	0.673	0.437	0.546	0.588	0.437	0.321	0.365	0.469	0.414	0.663	1.000	0.646	0.437	0.499	0.918	0.973
전남	0.726	0.814	0.760	0.563	0.884	0.563	0.729	0.503	0.500	0.306	0.312	0.500	0.646	1.000	0.711	0.810	0.918	0.973
경남	0.688	0.510	0.734	0.832	0.623	0.622	0.998	0.598	0.770	0.524	0.598	0.770	0.437	0.711	1.000	0.748	0.918	0.973
제주	0.554	0.622	0.572	0.563	0.750	0.563	0.770	0.548	0.500	0.391	0.312	0.500	0.499	0.810	0.748	1.000	0.918	0.973
인천	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	0.918	1.000	0.943
경북	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.973	0.943	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	5608438	2188686	229966	301645	60422	49196	251432	52486	409581	1603865	24700	30542	48526	48296	34636	40995	171955	61509
1	세대	19466	4503	792	1491	300	413	1426	197	1661	5202	218	193	497	381	425	606	777	384
2	18.87제곱미터	78	78	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	23.83제곱미터	29	0	0	0	0	0	0	0	0	0	29	0	0	0	0	0	0	0
4	29.49제곱미터	48	48	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5	36.44제곱미터	28	0	0	0	0	0	0	0	0	0	28	0	0	0	0	0	0	0
6	39.67제곱미터	667	64	5	0	0	30	0	37	384	0	0	0	0	0	1	0	10	136
7	42.98제곱미터	954	900	32	0	0	1	0	0	0	0	0	0	0	1	20	0	0	0
8	46.28제곱미터	861	491	5	0	0	0	5	0	308	0	0	0	42	10	0	0	0	0
9	49.59제곱미터	1453	1200	28	0	0	183	0	0	0	0	0	0	0	16	14	0	0	12

	구분	계	서울	부산	대구	인천	광주	대전	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남	제주
11	56.20제곱미터	819	700	17	0	0	101	1	0	0	0	0	0	0	0	0	0	0	0
12	59.50제곱미터	8912	1022	83	789	260	98	1420	144	222	2704	83	0	341	38	390	606	536	176
13	62.81제곱미터	34	0	0	0	0	0	0	0	0	0	14	20	0	0	0	0	0	0
14	66.12제곱미터	208	0	22	0	0	0	0	0	0	0	20	0	0	166	0	0	0	0
15	69.42제곱미터	553	0	0	0	0	0	0	0	318	224	11	0	0	0	0	0	0	0
16	72.73제곱미터	192	0	0	0	40	0	0	0	152	0	0	0	0	0	0	0	0	0
17	76.03제곱미터	340	0	0	164	0	0	0	0	0	176	0	0	0	0	0	0	0	0
18	79.34제곱미터	68	0	0	0	0	0	0	0	0	0	8	0	0	0	0	0	0	60
19	82.65제곱미터	277	0	0	0	0	0	0	0	277	0	0	0	0	0	0	0	0	0
20	85.95제곱미터	3734	0	600	538	0	0	0	16	0	2098	12	160	79	0	0	0	231	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Letter

Other Punctuation

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)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample