Overview

Dataset statistics

Number of variables8
Number of observations166
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory71.8 B

Variable types

Text1
Numeric7

Dataset

Description위 데이터는 행정안전부에서 제공하는 다문화 가구 통계 자료로 2020.11.1.기준 자료입니다. (결혼이민자 및 귀화자, 자녀, 기타동거인, 한국인 배우자 등)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105922&srcSe=7661IVAWM27C61E190

Alerts

한국인 배우자 is highly overall correlated with 결혼이민자 and 5 other fieldsHigh correlation
결혼이민자 is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
귀화자 is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
자녀(귀화 및 외국국적) is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
자녀(국내출생) is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
기타동거인(내국인) is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
기타동거인(외국인) is highly overall correlated with 한국인 배우자 and 5 other fieldsHigh correlation
구분 has unique valuesUnique
한국인 배우자 has 7 (4.2%) zerosZeros
결혼이민자 has 7 (4.2%) zerosZeros
귀화자 has 7 (4.2%) zerosZeros
자녀(귀화 및 외국국적) has 63 (38.0%) zerosZeros
자녀(국내출생) has 6 (3.6%) zerosZeros
기타동거인(내국인) has 4 (2.4%) zerosZeros
기타동거인(외국인) has 34 (20.5%) zerosZeros

Reproduction

Analysis started2024-04-20 20:12:35.368969
Analysis finished2024-04-20 20:12:48.590591
Duration13.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T05:12:49.603351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8072289
Min length2

Characters and Unicode

Total characters632
Distinct characters117
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)100.0%

Sample

1st row인천광역시
2nd row중구
3rd row연안동
4th row신포동
5th row신흥동
ValueCountFrequency (%)
인천광역시 1
 
0.6%
가정2동 1
 
0.6%
석남1동 1
 
0.6%
석남2동 1
 
0.6%
석남3동 1
 
0.6%
가좌1동 1
 
0.6%
가좌2동 1
 
0.6%
가좌3동 1
 
0.6%
가좌4동 1
 
0.6%
신현원창동 1
 
0.6%
Other values (156) 156
94.0%
2024-04-21T05:12:51.153926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 142
22.5%
2 32
 
5.1%
1 32
 
5.1%
3 21
 
3.3%
면 19
 
3.0%
송 14
 
2.2%
산 13
 
2.1%
도 13
 
2.1%
수 13
 
2.1%
4 12
 
1.9%
Other values (107) 321
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 517
81.8%
Decimal Number 109
 
17.2%
Other Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 142
27.5%
면 19
 
3.7%
송 14
 
2.7%
산 13
 
2.5%
도 13
 
2.5%
수 13
 
2.5%
구 12
 
2.3%
현 10
 
1.9%
부 10
 
1.9%
안 9
 
1.7%
Other values (98) 262
50.7%
Decimal Number
ValueCountFrequency (%)
2 32
29.4%
1 32
29.4%
3 21
19.3%
4 12
 
11.0%
5 6
 
5.5%
6 4
 
3.7%
7 1
 
0.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
· 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 517
81.8%
Common 115
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 142
27.5%
면 19
 
3.7%
송 14
 
2.7%
산 13
 
2.5%
도 13
 
2.5%
수 13
 
2.5%
구 12
 
2.3%
현 10
 
1.9%
부 10
 
1.9%
안 9
 
1.7%
Other values (98) 262
50.7%
Common
ValueCountFrequency (%)
2 32
27.8%
1 32
27.8%
3 21
18.3%
4 12
 
10.4%
5 6
 
5.2%
· 6
 
5.2%
6 4
 
3.5%
7 1
 
0.9%
8 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 517
81.8%
ASCII 109
 
17.2%
None 6
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 142
27.5%
면 19
 
3.7%
송 14
 
2.7%
산 13
 
2.5%
도 13
 
2.5%
수 13
 
2.5%
구 12
 
2.3%
현 10
 
1.9%
부 10
 
1.9%
안 9
 
1.7%
Other values (98) 262
50.7%
ASCII
ValueCountFrequency (%)
2 32
29.4%
1 32
29.4%
3 21
19.3%
4 12
 
11.0%
5 6
 
5.5%
6 4
 
3.7%
7 1
 
0.9%
8 1
 
0.9%
None
ValueCountFrequency (%)
· 6
100.0%

한국인 배우자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct104
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.5241
Minimum0
Maximum10493
Zeros7
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:51.574423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q132.5
median64.5
Q399.75
95-th percentile242.5
Maximum10493
Range10493
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation857.67009
Coefficient of variation (CV)4.5253881
Kurtosis128.22628
Mean189.5241
Median Absolute Deviation (MAD)33.5
Skewness10.822676
Sum31461
Variance735597.98
MonotonicityNot monotonic
2024-04-21T05:12:52.012973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7
 
4.2%
0 7
 
4.2%
46 6
 
3.6%
73 4
 
2.4%
81 4
 
2.4%
63 3
 
1.8%
15 3
 
1.8%
56 3
 
1.8%
68 2
 
1.2%
75 2
 
1.2%
Other values (94) 125
75.3%
ValueCountFrequency (%)
0 7
4.2%
7 7
4.2%
11 1
 
0.6%
12 1
 
0.6%
13 1
 
0.6%
14 1
 
0.6%
15 3
1.8%
17 2
 
1.2%
18 1
 
0.6%
20 2
 
1.2%
ValueCountFrequency (%)
10493 1
0.6%
2038 1
0.6%
1908 1
0.6%
1848 1
0.6%
1526 1
0.6%
1066 1
0.6%
980 1
0.6%
664 1
0.6%
243 1
0.6%
241 2
1.2%

결혼이민자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.07831
Minimum0
Maximum11740
Zeros7
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:52.426771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q136
median70
Q3114.75
95-th percentile412.75
Maximum11740
Range11740
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation962.48832
Coefficient of variation (CV)4.5383627
Kurtosis126.71707
Mean212.07831
Median Absolute Deviation (MAD)38
Skewness10.743804
Sum35205
Variance926383.76
MonotonicityNot monotonic
2024-04-21T05:12:52.797217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
4.2%
45 4
 
2.4%
6 4
 
2.4%
62 3
 
1.8%
132 3
 
1.8%
88 3
 
1.8%
41 3
 
1.8%
81 3
 
1.8%
78 3
 
1.8%
49 3
 
1.8%
Other values (102) 130
78.3%
ValueCountFrequency (%)
0 7
4.2%
5 1
 
0.6%
6 4
2.4%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
11 2
 
1.2%
12 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
11740 1
0.6%
2545 1
0.6%
2102 1
0.6%
1991 1
0.6%
1693 1
0.6%
1303 1
0.6%
943 1
0.6%
759 1
0.6%
432 1
0.6%
355 1
0.6%

귀화자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct119
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.34337
Minimum0
Maximum14852
Zeros7
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:53.131127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.25
Q137
median73.5
Q3127
95-th percentile835
Maximum14852
Range14852
Interquartile range (IQR)90

Descriptive statistics

Standard deviation1239.5962
Coefficient of variation (CV)4.6194404
Kurtosis118.57954
Mean268.34337
Median Absolute Deviation (MAD)43.5
Skewness10.363496
Sum44545
Variance1536598.8
MonotonicityNot monotonic
2024-04-21T05:12:53.569365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
4.2%
39 4
 
2.4%
22 3
 
1.8%
53 3
 
1.8%
15 3
 
1.8%
55 3
 
1.8%
30 3
 
1.8%
37 3
 
1.8%
62 3
 
1.8%
127 2
 
1.2%
Other values (109) 132
79.5%
ValueCountFrequency (%)
0 7
4.2%
5 2
 
1.2%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%
10 2
 
1.2%
12 1
 
0.6%
13 2
 
1.2%
14 1
 
0.6%
15 3
1.8%
ValueCountFrequency (%)
14852 1
0.6%
4765 1
0.6%
2373 1
0.6%
2331 1
0.6%
2170 1
0.6%
1045 1
0.6%
1036 1
0.6%
949 1
0.6%
863 1
0.6%
751 1
0.6%

자녀(귀화 및 외국국적)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.626506
Minimum0
Maximum1341
Zeros63
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:53.968672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q312
95-th percentile77.75
Maximum1341
Range1341
Interquartile range (IQR)12

Descriptive statistics

Standard deviation112.04639
Coefficient of variation (CV)4.7424019
Kurtosis118.18871
Mean23.626506
Median Absolute Deviation (MAD)6
Skewness10.327765
Sum3922
Variance12554.393
MonotonicityNot monotonic
2024-04-21T05:12:54.385235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 63
38.0%
6 12
 
7.2%
8 11
 
6.6%
5 11
 
6.6%
7 10
 
6.0%
12 8
 
4.8%
11 5
 
3.0%
9 5
 
3.0%
10 4
 
2.4%
19 4
 
2.4%
Other values (21) 33
19.9%
ValueCountFrequency (%)
0 63
38.0%
5 11
 
6.6%
6 12
 
7.2%
7 10
 
6.0%
8 11
 
6.6%
9 5
 
3.0%
10 4
 
2.4%
11 5
 
3.0%
12 8
 
4.8%
13 2
 
1.2%
ValueCountFrequency (%)
1341 1
0.6%
422 1
0.6%
212 1
0.6%
209 1
0.6%
192 1
0.6%
116 1
0.6%
113 1
0.6%
80 1
0.6%
79 1
0.6%
74 1
0.6%

자녀(국내출생)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct118
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.98193
Minimum0
Maximum15995
Zeros6
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:54.786798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q148.25
median97.5
Q3148
95-th percentile419
Maximum15995
Range15995
Interquartile range (IQR)99.75

Descriptive statistics

Standard deviation1308.2916
Coefficient of variation (CV)4.5272436
Kurtosis127.88665
Mean288.98193
Median Absolute Deviation (MAD)50.5
Skewness10.807464
Sum47971
Variance1711626.9
MonotonicityNot monotonic
2024-04-21T05:12:55.232306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.6%
131 3
 
1.8%
68 3
 
1.8%
30 3
 
1.8%
116 3
 
1.8%
93 3
 
1.8%
88 3
 
1.8%
83 3
 
1.8%
148 2
 
1.2%
40 2
 
1.2%
Other values (108) 135
81.3%
ValueCountFrequency (%)
0 6
3.6%
10 1
 
0.6%
11 1
 
0.6%
14 2
 
1.2%
15 2
 
1.2%
19 1
 
0.6%
20 2
 
1.2%
21 2
 
1.2%
22 2
 
1.2%
23 2
 
1.2%
ValueCountFrequency (%)
15995 1
0.6%
3180 1
0.6%
2994 1
0.6%
2850 1
0.6%
2204 1
0.6%
1652 1
0.6%
1477 1
0.6%
836 1
0.6%
430 1
0.6%
386 1
0.6%

기타동거인(내국인)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct121
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.07831
Minimum0
Maximum15502
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:55.655731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q153
median97
Q3141.75
95-th percentile421.5
Maximum15502
Range15502
Interquartile range (IQR)88.75

Descriptive statistics

Standard deviation1264.5793
Coefficient of variation (CV)4.5150918
Kurtosis129.23745
Mean280.07831
Median Absolute Deviation (MAD)45
Skewness10.87654
Sum46493
Variance1599160.8
MonotonicityNot monotonic
2024-04-21T05:12:56.030461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111 5
 
3.0%
0 4
 
2.4%
115 3
 
1.8%
63 3
 
1.8%
127 3
 
1.8%
97 3
 
1.8%
122 2
 
1.2%
80 2
 
1.2%
137 2
 
1.2%
205 2
 
1.2%
Other values (111) 137
82.5%
ValueCountFrequency (%)
0 4
2.4%
6 1
 
0.6%
9 1
 
0.6%
13 1
 
0.6%
14 2
1.2%
18 1
 
0.6%
19 1
 
0.6%
20 1
 
0.6%
21 1
 
0.6%
22 1
 
0.6%
ValueCountFrequency (%)
15502 1
0.6%
2832 1
0.6%
2795 1
0.6%
2710 1
0.6%
2321 1
0.6%
1589 1
0.6%
1521 1
0.6%
809 1
0.6%
429 1
0.6%
399 1
0.6%

기타동거인(외국인)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct56
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.680723
Minimum0
Maximum3375
Zeros34
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T05:12:56.378787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median16
Q331
95-th percentile199.75
Maximum3375
Range3375
Interquartile range (IQR)24

Descriptive statistics

Standard deviation282.83967
Coefficient of variation (CV)4.6611124
Kurtosis116.82054
Mean60.680723
Median Absolute Deviation (MAD)10.5
Skewness10.272659
Sum10073
Variance79998.279
MonotonicityNot monotonic
2024-04-21T05:12:56.939763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
20.5%
10 9
 
5.4%
11 7
 
4.2%
14 6
 
3.6%
32 6
 
3.6%
19 6
 
3.6%
7 5
 
3.0%
8 5
 
3.0%
9 5
 
3.0%
17 4
 
2.4%
Other values (46) 79
47.6%
ValueCountFrequency (%)
0 34
20.5%
5 3
 
1.8%
6 3
 
1.8%
7 5
 
3.0%
8 5
 
3.0%
9 5
 
3.0%
10 9
 
5.4%
11 7
 
4.2%
12 1
 
0.6%
13 3
 
1.8%
ValueCountFrequency (%)
3375 1
0.6%
1121 1
0.6%
538 1
0.6%
521 1
0.6%
487 1
0.6%
277 1
0.6%
237 1
0.6%
201 1
0.6%
200 1
0.6%
199 1
0.6%

Interactions

2024-04-21T05:12:46.109039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:35.718378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:36.819380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:38.612367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:40.425138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:42.236173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:44.063318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:46.353849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:35.857187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:37.059798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:38.860471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:40.672040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:42.483553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:44.311101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:46.606890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:35.999793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:37.311846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:39.113856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:40.925678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:42.739113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:44.567439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:46.865275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:36.150830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:37.570986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:39.370723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:41.186780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:42.998745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:44.827616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:47.126495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:36.303993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:37.813462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:39.630451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:41.443049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:43.264240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:45.093532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:47.394814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:36.482874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:38.087311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:39.898203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:41.710389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:43.532069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:45.363100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:47.659890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:36.664184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:38.350702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:40.163368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:41.975945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:43.799133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:12:45.628736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T05:12:57.130631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한국인 배우자결혼이민자귀화자자녀(귀화 및 외국국적)자녀(국내출생)기타동거인(내국인)기타동거인(외국인)
한국인 배우자1.0001.0000.8730.8731.0000.9940.873
결혼이민자1.0001.0000.9990.9991.0000.8340.999
귀화자0.8730.9991.0001.0000.8730.8731.000
자녀(귀화 및 외국국적)0.8730.9991.0001.0000.8730.8731.000
자녀(국내출생)1.0001.0000.8730.8731.0000.9940.873
기타동거인(내국인)0.9940.8340.8730.8730.9941.0000.873
기타동거인(외국인)0.8730.9991.0001.0000.8730.8731.000
2024-04-21T05:12:57.329998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한국인 배우자결혼이민자귀화자자녀(귀화 및 외국국적)자녀(국내출생)기타동거인(내국인)기타동거인(외국인)
한국인 배우자1.0000.9680.9230.8330.9770.9520.860
결혼이민자0.9681.0000.9360.8620.9480.9330.898
귀화자0.9230.9361.0000.8590.9040.9010.940
자녀(귀화 및 외국국적)0.8330.8620.8591.0000.8010.7760.847
자녀(국내출생)0.9770.9480.9040.8011.0000.9620.833
기타동거인(내국인)0.9520.9330.9010.7760.9621.0000.823
기타동거인(외국인)0.8600.8980.9400.8470.8330.8231.000

Missing values

2024-04-21T05:12:48.013364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T05:12:48.426508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분한국인 배우자결혼이민자귀화자자녀(귀화 및 외국국적)자녀(국내출생)기타동거인(내국인)기타동거인(외국인)
0인천광역시104931174014852134115995155023375
1중구66475975180836809200
2연안동413549833525
3신포동2239705384219
4신흥동5471858868623
5도원동2833230292511
6율목동252230629289
7동인천동1824430211817
8북성동2334566203537
9송월동273639624378
구분한국인 배우자결혼이민자귀화자자녀(귀화 및 외국국적)자녀(국내출생)기타동거인(내국인)기타동거인(외국인)
156삼산면755014140
157서도면0000000
158옹진군493644070976
159북도면0000060
160연평면0000000
161백령면201015023340
162대청면0000000
163덕적면0000090
164자월면0000000
165영흥면171521034370