Overview

Dataset statistics

Number of variables20
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory183.3 B

Variable types

Categorical1
Text1
Numeric18

Dataset

Description서울특별시 관악구에서 서울시 타자치구로 전출 인구이동 현황 (14년부터 ~ 22년까지 연도별 건수, 세대수, 개인수 ) 데이터를 제공합니다.
Author서울특별시 관악구
URLhttps://www.data.go.kr/data/15054427/fileData.do

Alerts

시도 has constant value ""Constant
14년 세대수 is highly overall correlated with 14년 개인수 and 16 other fieldsHigh correlation
14년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
15년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
15년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
16년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
16년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
17년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
17년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
18년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
18년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
19년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
19년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
20년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
20년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
21년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
21년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
22년 세대수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
22년 개인수 is highly overall correlated with 14년 세대수 and 16 other fieldsHigh correlation
전출 자치구 has unique valuesUnique
14년 개인수 has unique valuesUnique
15년 세대수 has unique valuesUnique
16년 세대수 has unique valuesUnique
16년 개인수 has unique valuesUnique
17년 개인수 has unique valuesUnique
18년 세대수 has unique valuesUnique
18년 개인수 has unique valuesUnique
20년 세대수 has unique valuesUnique
20년 개인수 has unique valuesUnique
21년 세대수 has unique valuesUnique
21년 개인수 has unique valuesUnique
22년 세대수 has unique valuesUnique
22년 개인수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:33:34.542860
Analysis finished2023-12-12 20:34:10.635787
Duration36.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
서울특별시
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 25
100.0%

Length

2023-12-13T05:34:10.696158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:34:10.806624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 25
100.0%

전출 자치구
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T05:34:10.942255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.08
Min length8

Characters and Unicode

Total characters227
Distinct characters41
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구
2nd row서울특별시 중구
3rd row서울특별시 용산구
4th row서울특별시 성동구
5th row서울특별시 광진구
ValueCountFrequency (%)
서울특별시 25
50.0%
종로구 1
 
2.0%
송파구 1
 
2.0%
강남구 1
 
2.0%
서초구 1
 
2.0%
관악구 1
 
2.0%
동작구 1
 
2.0%
영등포구 1
 
2.0%
금천구 1
 
2.0%
구로구 1
 
2.0%
Other values (16) 16
32.0%
2023-12-13T05:34:11.249450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
12.3%
26
11.5%
25
11.0%
25
11.0%
25
11.0%
25
11.0%
25
11.0%
4
 
1.8%
4
 
1.8%
2
 
0.9%
Other values (31) 38
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
89.0%
Space Separator 25
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
13.9%
26
12.9%
25
12.4%
25
12.4%
25
12.4%
25
12.4%
4
 
2.0%
4
 
2.0%
2
 
1.0%
2
 
1.0%
Other values (30) 36
17.8%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
89.0%
Common 25
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
13.9%
26
12.9%
25
12.4%
25
12.4%
25
12.4%
25
12.4%
4
 
2.0%
4
 
2.0%
2
 
1.0%
2
 
1.0%
Other values (30) 36
17.8%
Common
ValueCountFrequency (%)
25
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
89.0%
ASCII 25
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
13.9%
26
12.9%
25
12.4%
25
12.4%
25
12.4%
25
12.4%
4
 
2.0%
4
 
2.0%
2
 
1.0%
2
 
1.0%
Other values (30) 36
17.8%
ASCII
ValueCountFrequency (%)
25
100.0%

14년 세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.2
Minimum46
Maximum4177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:11.388451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile63.2
Q198
median142
Q3314
95-th percentile885
Maximum4177
Range4131
Interquartile range (IQR)216

Descriptive statistics

Standard deviation816.90121
Coefficient of variation (CV)2.1207196
Kurtosis21.456895
Mean385.2
Median Absolute Deviation (MAD)71
Skewness4.5171627
Sum9630
Variance667327.58
MonotonicityNot monotonic
2023-12-13T05:34:11.522949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
360 2
 
8.0%
314 2
 
8.0%
64 1
 
4.0%
63 1
 
4.0%
129 1
 
4.0%
532 1
 
4.0%
561 1
 
4.0%
4177 1
 
4.0%
966 1
 
4.0%
207 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
46 1
4.0%
63 1
4.0%
64 1
4.0%
71 1
4.0%
80 1
4.0%
95 1
4.0%
98 1
4.0%
101 1
4.0%
123 1
4.0%
124 1
4.0%
ValueCountFrequency (%)
4177 1
4.0%
966 1
4.0%
561 1
4.0%
532 1
4.0%
360 2
8.0%
314 2
8.0%
240 1
4.0%
207 1
4.0%
180 1
4.0%
147 1
4.0%

14년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean765.4
Minimum93
Maximum8207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:11.701086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile103.6
Q1189
median265
Q3638
95-th percentile2039.2
Maximum8207
Range8114
Interquartile range (IQR)449

Descriptive statistics

Standard deviation1620.2429
Coefficient of variation (CV)2.1168578
Kurtosis20.451442
Mean765.4
Median Absolute Deviation (MAD)138
Skewness4.3916798
Sum19135
Variance2625187.2
MonotonicityNot monotonic
2023-12-13T05:34:11.852989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
93 1
 
4.0%
106 1
 
4.0%
256 1
 
4.0%
579 1
 
4.0%
990 1
 
4.0%
1300 1
 
4.0%
8207 1
 
4.0%
2224 1
 
4.0%
638 1
 
4.0%
415 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
93 1
4.0%
103 1
4.0%
106 1
4.0%
127 1
4.0%
171 1
4.0%
182 1
4.0%
189 1
4.0%
204 1
4.0%
211 1
4.0%
240 1
4.0%
ValueCountFrequency (%)
8207 1
4.0%
2224 1
4.0%
1300 1
4.0%
990 1
4.0%
682 1
4.0%
673 1
4.0%
638 1
4.0%
579 1
4.0%
415 1
4.0%
399 1
4.0%

15년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1283.64
Minimum175
Maximum14719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:11.988322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile196.2
Q1330
median492
Q31232
95-th percentile2367.4
Maximum14719
Range14544
Interquartile range (IQR)902

Descriptive statistics

Standard deviation2855.2891
Coefficient of variation (CV)2.224369
Kurtosis22.83632
Mean1283.64
Median Absolute Deviation (MAD)263
Skewness4.6986737
Sum32091
Variance8152675.7
MonotonicityNot monotonic
2023-12-13T05:34:12.427365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
229 1
 
4.0%
188 1
 
4.0%
349 1
 
4.0%
861 1
 
4.0%
1313 1
 
4.0%
1365 1
 
4.0%
14719 1
 
4.0%
2618 1
 
4.0%
1262 1
 
4.0%
1316 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
175 1
4.0%
188 1
4.0%
229 1
4.0%
234 1
4.0%
287 1
4.0%
321 1
4.0%
330 1
4.0%
349 1
4.0%
384 1
4.0%
413 1
4.0%
ValueCountFrequency (%)
14719 1
4.0%
2618 1
4.0%
1365 1
4.0%
1316 1
4.0%
1313 1
4.0%
1262 1
4.0%
1232 1
4.0%
1139 1
4.0%
861 1
4.0%
772 1
4.0%

15년 개인수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.4
Minimum351
Maximum29541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:12.558509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum351
5-th percentile356.6
Q1608
median887
Q32200
95-th percentile4989.8
Maximum29541
Range29190
Interquartile range (IQR)1592

Descriptive statistics

Standard deviation5754.6865
Coefficient of variation (CV)2.3015063
Kurtosis22.691655
Mean2500.4
Median Absolute Deviation (MAD)482
Skewness4.681132
Sum62510
Variance33116416
MonotonicityNot monotonic
2023-12-13T05:34:12.682022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
676 2
 
8.0%
1369 1
 
4.0%
1566 1
 
4.0%
2327 1
 
4.0%
2989 1
 
4.0%
29541 1
 
4.0%
5490 1
 
4.0%
2200 1
 
4.0%
2763 1
 
4.0%
2296 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
351 1
4.0%
352 1
4.0%
375 1
4.0%
426 1
4.0%
570 1
4.0%
577 1
4.0%
608 1
4.0%
652 1
4.0%
676 2
8.0%
708 1
4.0%
ValueCountFrequency (%)
29541 1
4.0%
5490 1
4.0%
2989 1
4.0%
2763 1
4.0%
2327 1
4.0%
2296 1
4.0%
2200 1
4.0%
2134 1
4.0%
1566 1
4.0%
1369 1
4.0%

16년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1262.28
Minimum166
Maximum14347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:12.822798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166
5-th percentile207
Q1332
median429
Q31194
95-th percentile2487.6
Maximum14347
Range14181
Interquartile range (IQR)862

Descriptive statistics

Standard deviation2787.9207
Coefficient of variation (CV)2.2086389
Kurtosis22.570683
Mean1262.28
Median Absolute Deviation (MAD)218
Skewness4.6643608
Sum31557
Variance7772502
MonotonicityNot monotonic
2023-12-13T05:34:12.966052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
228 1
 
4.0%
211 1
 
4.0%
395 1
 
4.0%
986 1
 
4.0%
1194 1
 
4.0%
1297 1
 
4.0%
14347 1
 
4.0%
2779 1
 
4.0%
1225 1
 
4.0%
1322 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
166 1
4.0%
206 1
4.0%
211 1
4.0%
228 1
4.0%
314 1
4.0%
327 1
4.0%
332 1
4.0%
365 1
4.0%
367 1
4.0%
378 1
4.0%
ValueCountFrequency (%)
14347 1
4.0%
2779 1
4.0%
1322 1
4.0%
1297 1
4.0%
1260 1
4.0%
1225 1
4.0%
1194 1
4.0%
1159 1
4.0%
986 1
4.0%
665 1
4.0%

16년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2364.4
Minimum338
Maximum26504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:13.149357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum338
5-th percentile349.6
Q1638
median794
Q32128
95-th percentile5272.4
Maximum26504
Range26166
Interquartile range (IQR)1490

Descriptive statistics

Standard deviation5176.9559
Coefficient of variation (CV)2.1895432
Kurtosis21.910629
Mean2364.4
Median Absolute Deviation (MAD)442
Skewness4.578572
Sum59110
Variance26800872
MonotonicityNot monotonic
2023-12-13T05:34:13.363473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
352 1
 
4.0%
338 1
 
4.0%
668 1
 
4.0%
1736 1
 
4.0%
1956 1
 
4.0%
2854 1
 
4.0%
26504 1
 
4.0%
5877 1
 
4.0%
2144 1
 
4.0%
2853 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
338 1
4.0%
349 1
4.0%
352 1
4.0%
406 1
4.0%
525 1
4.0%
558 1
4.0%
638 1
4.0%
652 1
4.0%
668 1
4.0%
669 1
4.0%
ValueCountFrequency (%)
26504 1
4.0%
5877 1
4.0%
2854 1
4.0%
2853 1
4.0%
2310 1
4.0%
2144 1
4.0%
2128 1
4.0%
1956 1
4.0%
1736 1
4.0%
1323 1
4.0%

17년 세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1301
Minimum139
Maximum14891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:13.542784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139
5-th percentile195.6
Q1340
median469
Q31160
95-th percentile2399
Maximum14891
Range14752
Interquartile range (IQR)820

Descriptive statistics

Standard deviation2888.7063
Coefficient of variation (CV)2.2203738
Kurtosis22.81632
Mean1301
Median Absolute Deviation (MAD)247
Skewness4.6953661
Sum32525
Variance8344623.8
MonotonicityNot monotonic
2023-12-13T05:34:13.696431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
469 2
 
8.0%
254 1
 
4.0%
704 1
 
4.0%
1160 1
 
4.0%
1086 1
 
4.0%
1181 1
 
4.0%
14891 1
 
4.0%
2629 1
 
4.0%
1390 1
 
4.0%
1479 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
139 1
4.0%
189 1
4.0%
222 1
4.0%
250 1
4.0%
254 1
4.0%
329 1
4.0%
340 1
4.0%
394 1
4.0%
397 1
4.0%
410 1
4.0%
ValueCountFrequency (%)
14891 1
4.0%
2629 1
4.0%
1479 1
4.0%
1390 1
4.0%
1318 1
4.0%
1181 1
4.0%
1160 1
4.0%
1136 1
4.0%
1086 1
4.0%
731 1
4.0%

17년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2352.04
Minimum284
Maximum26613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:13.871051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum284
5-th percentile366.6
Q1552
median897
Q32071
95-th percentile4818.6
Maximum26613
Range26329
Interquartile range (IQR)1519

Descriptive statistics

Standard deviation5177.8169
Coefficient of variation (CV)2.2014153
Kurtosis22.399635
Mean2352.04
Median Absolute Deviation (MAD)473
Skewness4.6414541
Sum58801
Variance26809787
MonotonicityNot monotonic
2023-12-13T05:34:14.039540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
424 1
 
4.0%
356 1
 
4.0%
897 1
 
4.0%
2071 1
 
4.0%
1761 1
 
4.0%
2437 1
 
4.0%
26613 1
 
4.0%
5293 1
 
4.0%
2444 1
 
4.0%
2921 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
284 1
4.0%
356 1
4.0%
409 1
4.0%
424 1
4.0%
516 1
4.0%
527 1
4.0%
552 1
4.0%
670 1
4.0%
719 1
4.0%
730 1
4.0%
ValueCountFrequency (%)
26613 1
4.0%
5293 1
4.0%
2921 1
4.0%
2444 1
4.0%
2437 1
4.0%
2179 1
4.0%
2071 1
4.0%
2039 1
4.0%
1761 1
4.0%
1158 1
4.0%

18년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.96
Minimum141
Maximum15342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:14.185238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile216.8
Q1362
median476
Q31164
95-th percentile2554.6
Maximum15342
Range15201
Interquartile range (IQR)802

Descriptive statistics

Standard deviation2978.7464
Coefficient of variation (CV)2.2180455
Kurtosis22.708276
Mean1342.96
Median Absolute Deviation (MAD)240
Skewness4.6813158
Sum33574
Variance8872930
MonotonicityNot monotonic
2023-12-13T05:34:14.361513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
236 1
 
4.0%
212 1
 
4.0%
403 1
 
4.0%
1168 1
 
4.0%
1154 1
 
4.0%
1157 1
 
4.0%
15342 1
 
4.0%
2795 1
 
4.0%
1495 1
 
4.0%
1593 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
141 1
4.0%
212 1
4.0%
236 1
4.0%
238 1
4.0%
312 1
4.0%
338 1
4.0%
362 1
4.0%
374 1
4.0%
403 1
4.0%
411 1
4.0%
ValueCountFrequency (%)
15342 1
4.0%
2795 1
4.0%
1593 1
4.0%
1495 1
4.0%
1295 1
4.0%
1168 1
4.0%
1164 1
4.0%
1157 1
4.0%
1154 1
4.0%
816 1
4.0%

18년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2346.04
Minimum327
Maximum26406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:14.543278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile351
Q1614
median887
Q31960
95-th percentile4793.8
Maximum26406
Range26079
Interquartile range (IQR)1346

Descriptive statistics

Standard deviation5136.4901
Coefficient of variation (CV)2.1894299
Kurtosis22.368065
Mean2346.04
Median Absolute Deviation (MAD)466
Skewness4.6367285
Sum58651
Variance26383531
MonotonicityNot monotonic
2023-12-13T05:34:14.721844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
359 1
 
4.0%
349 1
 
4.0%
724 1
 
4.0%
1960 1
 
4.0%
1905 1
 
4.0%
2496 1
 
4.0%
26406 1
 
4.0%
5241 1
 
4.0%
2348 1
 
4.0%
3005 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
327 1
4.0%
349 1
4.0%
359 1
4.0%
421 1
4.0%
558 1
4.0%
613 1
4.0%
614 1
4.0%
615 1
4.0%
696 1
4.0%
724 1
4.0%
ValueCountFrequency (%)
26406 1
4.0%
5241 1
4.0%
3005 1
4.0%
2496 1
4.0%
2348 1
4.0%
2306 1
4.0%
1960 1
4.0%
1956 1
4.0%
1905 1
4.0%
1272 1
4.0%

19년 세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1362.16
Minimum152
Maximum16543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:14.871056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile226.8
Q1387
median545
Q31265
95-th percentile1657
Maximum16543
Range16391
Interquartile range (IQR)878

Descriptive statistics

Standard deviation3199.557
Coefficient of variation (CV)2.3488848
Kurtosis23.717919
Mean1362.16
Median Absolute Deviation (MAD)264
Skewness4.8172302
Sum34054
Variance10237165
MonotonicityNot monotonic
2023-12-13T05:34:15.016732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1265 2
 
8.0%
809 2
 
8.0%
222 1
 
4.0%
545 1
 
4.0%
558 1
 
4.0%
1244 1
 
4.0%
16543 1
 
4.0%
294 1
 
4.0%
1653 1
 
4.0%
1658 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
152 1
4.0%
222 1
4.0%
246 1
4.0%
270 1
4.0%
294 1
4.0%
386 1
4.0%
387 1
4.0%
409 1
4.0%
439 1
4.0%
447 1
4.0%
ValueCountFrequency (%)
16543 1
4.0%
1658 1
4.0%
1653 1
4.0%
1637 1
4.0%
1278 1
4.0%
1265 2
8.0%
1244 1
4.0%
809 2
8.0%
590 1
4.0%
558 1
4.0%

19년 개인수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2419.16
Minimum321
Maximum26548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:15.194810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum321
5-th percentile350.6
Q1625
median1010
Q32059
95-th percentile4854.6
Maximum26548
Range26227
Interquartile range (IQR)1434

Descriptive statistics

Standard deviation5152.3319
Coefficient of variation (CV)2.129802
Kurtosis22.34591
Mean2419.16
Median Absolute Deviation (MAD)449
Skewness4.6336142
Sum60479
Variance26546524
MonotonicityNot monotonic
2023-12-13T05:34:15.355582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2059 2
 
8.0%
332 1
 
4.0%
1236 1
 
4.0%
971 1
 
4.0%
2444 1
 
4.0%
26548 1
 
4.0%
5367 1
 
4.0%
2394 1
 
4.0%
2805 1
 
4.0%
2729 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
321 1
4.0%
332 1
4.0%
425 1
4.0%
561 1
4.0%
601 1
4.0%
617 1
4.0%
625 1
4.0%
748 1
4.0%
756 1
4.0%
817 1
4.0%
ValueCountFrequency (%)
26548 1
4.0%
5367 1
4.0%
2805 1
4.0%
2729 1
4.0%
2444 1
4.0%
2394 1
4.0%
2059 2
8.0%
2022 1
4.0%
1236 1
4.0%
1123 1
4.0%

20년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1575.52
Minimum188
Maximum16974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:15.528133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188
5-th percentile234.2
Q1451
median746
Q31348
95-th percentile2964.4
Maximum16974
Range16786
Interquartile range (IQR)897

Descriptive statistics

Standard deviation3285.185
Coefficient of variation (CV)2.0851433
Kurtosis22.435564
Mean1575.52
Median Absolute Deviation (MAD)429
Skewness4.6420499
Sum39388
Variance10792440
MonotonicityNot monotonic
2023-12-13T05:34:15.717345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
267 1
 
4.0%
226 1
 
4.0%
767 1
 
4.0%
1262 1
 
4.0%
1230 1
 
4.0%
1348 1
 
4.0%
16974 1
 
4.0%
3179 1
 
4.0%
2106 1
 
4.0%
1912 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
188 1
4.0%
226 1
4.0%
267 1
4.0%
317 1
4.0%
329 1
4.0%
440 1
4.0%
451 1
4.0%
464 1
4.0%
505 1
4.0%
516 1
4.0%
ValueCountFrequency (%)
16974 1
4.0%
3179 1
4.0%
2106 1
4.0%
1912 1
4.0%
1599 1
4.0%
1453 1
4.0%
1348 1
4.0%
1262 1
4.0%
1230 1
4.0%
945 1
4.0%

20년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602.08
Minimum334
Maximum27240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:15.887309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334
5-th percentile377
Q1751
median1257
Q32219
95-th percentile5455.8
Maximum27240
Range26906
Interquartile range (IQR)1468

Descriptive statistics

Standard deviation5285.646
Coefficient of variation (CV)2.0313157
Kurtosis21.874277
Mean2602.08
Median Absolute Deviation (MAD)738
Skewness4.5692892
Sum65052
Variance27938054
MonotonicityNot monotonic
2023-12-13T05:34:16.037278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
413 1
 
4.0%
334 1
 
4.0%
1459 1
 
4.0%
1995 1
 
4.0%
2010 1
 
4.0%
2628 1
 
4.0%
27240 1
 
4.0%
5926 1
 
4.0%
3575 1
 
4.0%
3102 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
334 1
4.0%
368 1
4.0%
413 1
4.0%
483 1
4.0%
668 1
4.0%
728 1
4.0%
751 1
4.0%
776 1
4.0%
852 1
4.0%
887 1
4.0%
ValueCountFrequency (%)
27240 1
4.0%
5926 1
4.0%
3575 1
4.0%
3102 1
4.0%
2628 1
4.0%
2504 1
4.0%
2219 1
4.0%
2010 1
4.0%
1995 1
4.0%
1459 1
4.0%

21년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1435.48
Minimum192
Maximum14905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:16.182841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192
5-th percentile245.2
Q1435
median693
Q31247
95-th percentile2619
Maximum14905
Range14713
Interquartile range (IQR)812

Descriptive statistics

Standard deviation2878.664
Coefficient of variation (CV)2.0053669
Kurtosis22.256726
Mean1435.48
Median Absolute Deviation (MAD)418
Skewness4.6152446
Sum35887
Variance8286706.6
MonotonicityNot monotonic
2023-12-13T05:34:16.326707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
274 1
 
4.0%
238 1
 
4.0%
693 1
 
4.0%
1247 1
 
4.0%
1163 1
 
4.0%
1206 1
 
4.0%
14905 1
 
4.0%
2782 1
 
4.0%
1743 1
 
4.0%
1967 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
192 1
4.0%
238 1
4.0%
274 1
4.0%
275 1
4.0%
330 1
4.0%
412 1
4.0%
435 1
4.0%
443 1
4.0%
465 1
4.0%
482 1
4.0%
ValueCountFrequency (%)
14905 1
4.0%
2782 1
4.0%
1967 1
4.0%
1743 1
4.0%
1624 1
4.0%
1488 1
4.0%
1247 1
4.0%
1206 1
4.0%
1163 1
4.0%
872 1
4.0%

21년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2294.92
Minimum361
Maximum23037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:16.453549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum361
5-th percentile386.8
Q1677
median1051
Q32300
95-th percentile4576.6
Maximum23037
Range22676
Interquartile range (IQR)1623

Descriptive statistics

Standard deviation4454.0455
Coefficient of variation (CV)1.9408282
Kurtosis21.778923
Mean2294.92
Median Absolute Deviation (MAD)570
Skewness4.5521724
Sum57373
Variance19838521
MonotonicityNot monotonic
2023-12-13T05:34:16.580844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
394 1
 
4.0%
361 1
 
4.0%
1192 1
 
4.0%
2112 1
 
4.0%
1867 1
 
4.0%
2388 1
 
4.0%
23037 1
 
4.0%
4927 1
 
4.0%
2572 1
 
4.0%
3175 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
361 1
4.0%
385 1
4.0%
394 1
4.0%
481 1
4.0%
639 1
4.0%
654 1
4.0%
677 1
4.0%
717 1
4.0%
721 1
4.0%
839 1
4.0%
ValueCountFrequency (%)
23037 1
4.0%
4927 1
4.0%
3175 1
4.0%
2572 1
4.0%
2418 1
4.0%
2388 1
4.0%
2300 1
4.0%
2112 1
4.0%
1867 1
4.0%
1304 1
4.0%

22년 세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1309.72
Minimum173
Maximum14163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:16.724726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173
5-th percentile239.4
Q1423
median575
Q31103
95-th percentile2280
Maximum14163
Range13990
Interquartile range (IQR)680

Descriptive statistics

Standard deviation2734.4276
Coefficient of variation (CV)2.0877956
Kurtosis22.727294
Mean1309.72
Median Absolute Deviation (MAD)321
Skewness4.6810256
Sum32743
Variance7477094.5
MonotonicityNot monotonic
2023-12-13T05:34:16.895554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
236 1
 
4.0%
253 1
 
4.0%
483 1
 
4.0%
1103 1
 
4.0%
1007 1
 
4.0%
1052 1
 
4.0%
14163 1
 
4.0%
2425 1
 
4.0%
1557 1
 
4.0%
1700 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
173 1
4.0%
236 1
4.0%
253 1
4.0%
254 1
4.0%
288 1
4.0%
411 1
4.0%
423 1
4.0%
443 1
4.0%
453 1
4.0%
473 1
4.0%
ValueCountFrequency (%)
14163 1
4.0%
2425 1
4.0%
1700 1
4.0%
1557 1
4.0%
1470 1
4.0%
1235 1
4.0%
1103 1
4.0%
1052 1
4.0%
1007 1
4.0%
747 1
4.0%

22년 개인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2028.28
Minimum335
Maximum20779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:34:17.067142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335
5-th percentile347.6
Q1699
median970
Q31884
95-th percentile3715.2
Maximum20779
Range20444
Interquartile range (IQR)1185

Descriptive statistics

Standard deviation4003.6034
Coefficient of variation (CV)1.9738909
Kurtosis22.352535
Mean2028.28
Median Absolute Deviation (MAD)557
Skewness4.6297796
Sum50707
Variance16028840
MonotonicityNot monotonic
2023-12-13T05:34:17.255470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
340 1
 
4.0%
378 1
 
4.0%
816 1
 
4.0%
1884 1
 
4.0%
1574 1
 
4.0%
1946 1
 
4.0%
20779 1
 
4.0%
3973 1
 
4.0%
2367 1
 
4.0%
2684 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
335 1
4.0%
340 1
4.0%
378 1
4.0%
413 1
4.0%
594 1
4.0%
646 1
4.0%
699 1
4.0%
734 1
4.0%
759 1
4.0%
770 1
4.0%
ValueCountFrequency (%)
20779 1
4.0%
3973 1
4.0%
2684 1
4.0%
2367 1
4.0%
2160 1
4.0%
1946 1
4.0%
1884 1
4.0%
1859 1
4.0%
1574 1
4.0%
1124 1
4.0%

Interactions

2023-12-13T05:34:08.585995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:35.146207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:37.243515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:39.509353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.961722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.713326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.547189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:47.759779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:49.335142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.748949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T05:33:57.358125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:59.499567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.408425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.382931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.241616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:07.684443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:09.766393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:36.410245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:38.815009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:40.931382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.094089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:44.934685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:46.774318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:48.840408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.267430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:51.740242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:53.734469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:55.708022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.434665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:59.667491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.498515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.490853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.374629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:07.814982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:09.851231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:36.523684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:38.933078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.366715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.194915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.048807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:46.872402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:48.923254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.344690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:51.824676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:53.842053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:55.860507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.530026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:59.796985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.620695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.603524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.480011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:07.963955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:09.927319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:36.660839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:39.036411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.478946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.294559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.147118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:46.982333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:49.001205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.428472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:51.901509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:53.950262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:55.997037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.631077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:59.915055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.705502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.718669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.567278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:08.092645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:10.006245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:36.818727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:39.132923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.595676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.399755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.242473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:47.102785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:49.084388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.512002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:51.982180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:54.077143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:56.114443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.732630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:00.057218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.848891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.833465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.672106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:08.231054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:10.078634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:36.966948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:39.240246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.703471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.493173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.334155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:47.202911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:49.160251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.585579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:52.071553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:54.207165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:56.203114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.813751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:00.169379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:01.936342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:03.943165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.768794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:08.330642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:10.165639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:37.104196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:39.375407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:41.838105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:43.607015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:45.451666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:47.297873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:49.238890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:50.665553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:52.176285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:54.305804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:56.312182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:33:57.911167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:00.272534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:02.031705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:04.066370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:05.869870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:08.456758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:34:17.418782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전출 자치구14년 세대수14년 개인수15년 세대수15년 개인수16년 세대수16년 개인수17년 세대수17년 개인수18년 세대수18년 개인수19년 세대수19년 개인수20년 세대수20년 개인수21년 세대수21년 개인수22년 세대수22년 개인수
전출 자치구1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
14년 세대수1.0001.0001.0001.0001.0001.0001.0001.0000.7811.0000.7811.0001.0000.7330.9760.7330.9760.7810.781
14년 개인수1.0001.0001.0001.0001.0001.0001.0001.0000.7811.0000.7811.0001.0000.7330.9760.7330.9760.7810.781
15년 세대수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
15년 개인수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
16년 세대수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
16년 개인수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
17년 세대수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
17년 개인수1.0000.7810.7810.9840.9840.9840.9840.9841.0000.9841.0001.0000.9840.9930.8460.9931.0001.0001.000
18년 세대수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
18년 개인수1.0000.7810.7810.9840.9840.9840.9840.9841.0000.9841.0001.0000.9840.9930.8460.9931.0001.0001.000
19년 세대수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
19년 개인수1.0001.0001.0001.0001.0001.0001.0001.0000.9841.0000.9841.0001.0000.9701.0000.9701.0000.9840.984
20년 세대수1.0000.7330.7330.9700.9700.9700.9700.9700.9930.9700.9931.0000.9701.0001.0001.0000.8210.9930.993
20년 개인수1.0000.9760.9761.0001.0001.0001.0001.0000.8461.0000.8461.0001.0001.0001.0001.0000.9940.8460.846
21년 세대수1.0000.7330.7330.9700.9700.9700.9700.9700.9930.9700.9931.0000.9701.0001.0001.0000.8210.9930.993
21년 개인수1.0000.9760.9761.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8210.9940.8211.0001.0001.000
22년 세대수1.0000.7810.7810.9840.9840.9840.9840.9841.0000.9841.0001.0000.9840.9930.8460.9931.0001.0001.000
22년 개인수1.0000.7810.7810.9840.9840.9840.9840.9841.0000.9841.0001.0000.9840.9930.8460.9931.0001.0001.000
2023-12-13T05:34:17.679683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
14년 세대수14년 개인수15년 세대수15년 개인수16년 세대수16년 개인수17년 세대수17년 개인수18년 세대수18년 개인수19년 세대수19년 개인수20년 세대수20년 개인수21년 세대수21년 개인수22년 세대수22년 개인수
14년 세대수1.0000.9870.9680.9660.9460.9380.9460.9390.9230.9320.7630.9210.9430.9450.9440.9490.9400.950
14년 개인수0.9871.0000.9550.9670.9440.9470.9460.9450.9260.9410.7670.9280.9480.9510.9480.9550.9490.952
15년 세대수0.9680.9551.0000.9900.9770.9640.9600.9590.9580.9620.7850.9430.9490.9500.9570.9590.9540.965
15년 개인수0.9660.9670.9901.0000.9770.9780.9580.9640.9540.9700.7750.9390.9500.9540.9590.9670.9550.963
16년 세대수0.9460.9440.9770.9771.0000.9840.9680.9790.9740.9850.7950.9580.9630.9690.9580.9650.9580.965
16년 개인수0.9380.9470.9640.9780.9841.0000.9530.9710.9620.9870.7530.9240.9510.9580.9460.9620.9490.954
17년 세대수0.9460.9460.9600.9580.9680.9531.0000.9900.9740.9720.8010.9410.9750.9690.9860.9810.9760.970
17년 개인수0.9390.9450.9590.9640.9790.9710.9901.0000.9750.9880.7940.9450.9700.9740.9780.9820.9700.971
18년 세대수0.9230.9260.9580.9540.9740.9620.9740.9751.0000.9840.7950.9380.9690.9550.9710.9580.9730.964
18년 개인수0.9320.9410.9620.9700.9850.9870.9720.9880.9841.0000.7760.9420.9580.9600.9600.9630.9610.962
19년 세대수0.7630.7670.7850.7750.7950.7530.8010.7940.7950.7761.0000.8380.8060.7860.8130.7960.8150.812
19년 개인수0.9210.9280.9430.9390.9580.9240.9410.9450.9380.9420.8381.0000.9410.9320.9440.9350.9510.959
20년 세대수0.9430.9480.9490.9500.9630.9510.9750.9700.9690.9580.8060.9411.0000.9880.9890.9870.9920.985
20년 개인수0.9450.9510.9500.9540.9690.9580.9690.9740.9550.9600.7860.9320.9881.0000.9740.9880.9730.978
21년 세대수0.9440.9480.9570.9590.9580.9460.9860.9780.9710.9600.8130.9440.9890.9741.0000.9910.9950.987
21년 개인수0.9490.9550.9590.9670.9650.9620.9810.9820.9580.9630.7960.9350.9870.9880.9911.0000.9850.985
22년 세대수0.9400.9490.9540.9550.9580.9490.9760.9700.9730.9610.8150.9510.9920.9730.9950.9851.0000.992
22년 개인수0.9500.9520.9650.9630.9650.9540.9700.9710.9640.9620.8120.9590.9850.9780.9870.9850.9921.000

Missing values

2023-12-13T05:34:10.309565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:34:10.545377image/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

시도전출 자치구14년 세대수14년 개인수15년 세대수15년 개인수16년 세대수16년 개인수17년 세대수17년 개인수18년 세대수18년 개인수19년 세대수19년 개인수20년 세대수20년 개인수21년 세대수21년 개인수22년 세대수22년 개인수
0서울특별시서울특별시 종로구6493229352228352254424236359222332267413274394236340
1서울특별시서울특별시 중구63106188351211338189356212349468847226334238361253378
2서울특별시서울특별시 용산구136280413746378692469813470821447756537887567864481759
3서울특별시서울특별시 성동구95189330577367652397730453754387625440751412639411646
4서울특별시서울특별시 광진구18026565897660192973110646799898091123916125776310517281009
5서울특별시서울특별시 동대문구98182384652327525340527374613409617451728465677443699
6서울특별시서울특별시 중랑구101211321570314558329516338558386601516852443717473770
7서울특별시서울특별시 성북구142254418708365638410719362614480817464776482839453778
8서울특별시서울특별시 강북구71127234426206406222409238421246425317483275481254413
9서울특별시서울특별시 도봉구46103175375166349139284141327152321188368192385173335
시도전출 자치구14년 세대수14년 개인수15년 세대수15년 개인수16년 세대수16년 개인수17년 세대수17년 개인수18년 세대수18년 개인수19년 세대수19년 개인수20년 세대수20년 개인수21년 세대수21년 개인수22년 세대수22년 개인수
15서울특별시서울특별시 강서구3146731139213411592128131821791164195612782022145322191624241812351859
16서울특별시서울특별시 구로구3606821232229612602310113620391295230616372729159925041488230014702160
17서울특별시서울특별시 금천구2074151316276313222853147929211593300516582805191231021967317517002684
18서울특별시서울특별시 영등포구3606381262220012252144139024441495234816532394210635751743257215572367
19서울특별시서울특별시 동작구9662224261854902779587726295293279552412945367317959262782492724253973
20서울특별시서울특별시 관악구4177820714719295411434726504148912661315342264061654326548169742724014905230371416320779
21서울특별시서울특별시 서초구56113001365298912972854118124371157249612442444134826281206238810521946
22서울특별시서울특별시 강남구5329901313232711941956108617611154190512652059123020101163186710071574
23서울특별시서울특별시 송파구31457986115669861736116020711168196012652059126219951247211211031884
24서울특별시서울특별시 강동구12925634967639566846989740372455897176714596931192483816