Overview

Dataset statistics

Number of variables16
Number of observations8500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory143.0 B

Variable types

Numeric15
Text1

Dataset

Description기준_년분기_코드,행정동_코드,행정동_코드_명,월_평균_소득_금액,소득_구간_코드,지출_총금액,식료품_지출_총금액,의류_신발_지출_총금액,생활용품_지출_총금액,의료비_지출_총금액,교통_지출_총금액,교육_지출_총금액,유흥_지출_총금액,여가_문화_지출_총금액,기타_지출_총금액,음식_지출_총금액
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-22166/S/1/datasetView.do

Alerts

월_평균_소득_금액 is highly overall correlated with 소득_구간_코드High correlation
소득_구간_코드 is highly overall correlated with 월_평균_소득_금액High correlation
지출_총금액 is highly overall correlated with 식료품_지출_총금액 and 9 other fieldsHigh correlation
식료품_지출_총금액 is highly overall correlated with 지출_총금액 and 7 other fieldsHigh correlation
의류_신발_지출_총금액 is highly overall correlated with 지출_총금액 and 7 other fieldsHigh correlation
생활용품_지출_총금액 is highly overall correlated with 지출_총금액 and 6 other fieldsHigh correlation
의료비_지출_총금액 is highly overall correlated with 지출_총금액 and 8 other fieldsHigh correlation
교통_지출_총금액 is highly overall correlated with 지출_총금액High correlation
교육_지출_총금액 is highly overall correlated with 지출_총금액 and 4 other fieldsHigh correlation
유흥_지출_총금액 is highly overall correlated with 지출_총금액 and 7 other fieldsHigh correlation
여가_문화_지출_총금액 is highly overall correlated with 지출_총금액 and 8 other fieldsHigh correlation
기타_지출_총금액 is highly overall correlated with 지출_총금액 and 8 other fieldsHigh correlation
음식_지출_총금액 is highly overall correlated with 지출_총금액 and 7 other fieldsHigh correlation
생활용품_지출_총금액 is highly skewed (γ1 = 21.32158748)Skewed
생활용품_지출_총금액 has 113 (1.3%) zerosZeros
교통_지출_총금액 has 229 (2.7%) zerosZeros
유흥_지출_총금액 has 186 (2.2%) zerosZeros

Reproduction

Analysis started2024-05-04 04:01:55.507178
Analysis finished2024-05-04 04:03:38.674936
Duration1 minute and 43.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212.5
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:38.983292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191.95
Q120201.75
median20212.5
Q320223.25
95-th percentile20233.05
Maximum20234
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation14.187096
Coefficient of variation (CV)0.00070189712
Kurtosis-1.2840029
Mean20212.5
Median Absolute Deviation (MAD)11
Skewness0
Sum1.7180625 × 108
Variance201.27368
MonotonicityNot monotonic
2024-05-04T04:03:39.753754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20231 425
 
5.0%
20203 425
 
5.0%
20224 425
 
5.0%
20223 425
 
5.0%
20222 425
 
5.0%
20221 425
 
5.0%
20214 425
 
5.0%
20213 425
 
5.0%
20212 425
 
5.0%
20211 425
 
5.0%
Other values (10) 4250
50.0%
ValueCountFrequency (%)
20191 425
5.0%
20192 425
5.0%
20193 425
5.0%
20194 425
5.0%
20201 425
5.0%
20202 425
5.0%
20203 425
5.0%
20204 425
5.0%
20211 425
5.0%
20212 425
5.0%
ValueCountFrequency (%)
20234 425
5.0%
20233 425
5.0%
20232 425
5.0%
20231 425
5.0%
20224 425
5.0%
20223 425
5.0%
20222 425
5.0%
20221 425
5.0%
20214 425
5.0%
20213 425
5.0%

행정동_코드
Real number (ℝ)

Distinct425
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11433425
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:40.268307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140580
Q111260655
median11440630
Q311590680
95-th percentile11710680
Maximum11740700
Range630185
Interquartile range (IQR)330025

Descriptive statistics

Standard deviation191511.86
Coefficient of variation (CV)0.016750174
Kurtosis-1.2631187
Mean11433425
Median Absolute Deviation (MAD)179940
Skewness-0.01466905
Sum9.7184111 × 1010
Variance3.6676792 × 1010
MonotonicityNot monotonic
2024-05-04T04:03:40.934733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11650652 20
 
0.2%
11230536 20
 
0.2%
11215850 20
 
0.2%
11200560 20
 
0.2%
11140520 20
 
0.2%
11110560 20
 
0.2%
11110580 20
 
0.2%
11740620 20
 
0.2%
11740600 20
 
0.2%
11710570 20
 
0.2%
Other values (415) 8300
97.6%
ValueCountFrequency (%)
11110515 20
0.2%
11110530 20
0.2%
11110540 20
0.2%
11110550 20
0.2%
11110560 20
0.2%
11110570 20
0.2%
11110580 20
0.2%
11110600 20
0.2%
11110615 20
0.2%
11110630 20
0.2%
ValueCountFrequency (%)
11740700 20
0.2%
11740690 20
0.2%
11740685 20
0.2%
11740660 20
0.2%
11740650 20
0.2%
11740640 20
0.2%
11740620 20
0.2%
11740610 20
0.2%
11740600 20
0.2%
11740590 20
0.2%
Distinct424
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2024-05-04T04:03:41.992772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7882353
Min length2

Characters and Unicode

Total characters32200
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양재2동
2nd row개포4동
3rd row도곡2동
4th row문정1동
5th row삼전동
ValueCountFrequency (%)
신사동 40
 
0.5%
답십리2동 20
 
0.2%
구의1동 20
 
0.2%
행당1동 20
 
0.2%
소공동 20
 
0.2%
평창동 20
 
0.2%
교남동 20
 
0.2%
천호3동 20
 
0.2%
천호1동 20
 
0.2%
오금동 20
 
0.2%
Other values (414) 8280
97.4%
2024-05-04T04:03:43.866925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8540
26.5%
2 1940
 
6.0%
1 1940
 
6.0%
3 860
 
2.7%
760
 
2.4%
4 520
 
1.6%
460
 
1.4%
360
 
1.1%
340
 
1.1%
340
 
1.1%
Other values (178) 16140
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26180
81.3%
Decimal Number 5840
 
18.1%
Other Punctuation 180
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
Decimal Number
ValueCountFrequency (%)
2 1940
33.2%
1 1940
33.2%
3 860
14.7%
4 520
 
8.9%
5 220
 
3.8%
6 140
 
2.4%
7 120
 
2.1%
8 60
 
1.0%
0 20
 
0.3%
9 20
 
0.3%
Other Punctuation
ValueCountFrequency (%)
? 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26180
81.3%
Common 6020
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
Common
ValueCountFrequency (%)
2 1940
32.2%
1 1940
32.2%
3 860
14.3%
4 520
 
8.6%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26180
81.3%
ASCII 6020
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
ASCII
ValueCountFrequency (%)
2 1940
32.2%
1 1940
32.2%
3 860
14.3%
4 520
 
8.6%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

월_평균_소득_금액
Real number (ℝ)

HIGH CORRELATION 

Distinct850
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3405829.1
Minimum2099146
Maximum7694017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:44.423937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2099146
5-th percentile2343943
Q12708397
median3132098
Q33864301
95-th percentile5384412
Maximum7694017
Range5594871
Interquartile range (IQR)1155904

Descriptive statistics

Standard deviation957910.82
Coefficient of variation (CV)0.28125628
Kurtosis1.48959
Mean3405829.1
Median Absolute Deviation (MAD)523294
Skewness1.2932483
Sum2.8949547 × 1010
Variance9.1759314 × 1011
MonotonicityNot monotonic
2024-05-04T04:03:45.191161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3222382 17
 
0.2%
2894254 17
 
0.2%
2683701 17
 
0.2%
3900841 17
 
0.2%
5380521 17
 
0.2%
4504006 17
 
0.2%
4616890 17
 
0.2%
3165328 17
 
0.2%
2473111 17
 
0.2%
3510674 17
 
0.2%
Other values (840) 8330
98.0%
ValueCountFrequency (%)
2099146 17
0.2%
2112817 17
0.2%
2152244 17
0.2%
2179000 3
 
< 0.1%
2179485 3
 
< 0.1%
2205999 17
0.2%
2220463 17
0.2%
2227154 17
0.2%
2229423 17
0.2%
2231082 17
0.2%
ValueCountFrequency (%)
7694017 3
 
< 0.1%
7421305 17
0.2%
6812331 17
0.2%
6748694 3
 
< 0.1%
6744533 3
 
< 0.1%
6714867 3
 
< 0.1%
6567504 17
0.2%
6530656 3
 
< 0.1%
6475383 17
0.2%
6473427 3
 
< 0.1%

소득_구간_코드
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8682353
Minimum5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:45.941222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum10
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1174378
Coefficient of variation (CV)0.1626965
Kurtosis-0.55312514
Mean6.8682353
Median Absolute Deviation (MAD)1
Skewness0.2726461
Sum58380
Variance1.2486673
MonotonicityNot monotonic
2024-05-04T04:03:46.503615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 2805
33.0%
6 2553
30.0%
8 1487
17.5%
5 846
 
10.0%
9 789
 
9.3%
10 20
 
0.2%
ValueCountFrequency (%)
5 846
 
10.0%
6 2553
30.0%
7 2805
33.0%
8 1487
17.5%
9 789
 
9.3%
10 20
 
0.2%
ValueCountFrequency (%)
10 20
 
0.2%
9 789
 
9.3%
8 1487
17.5%
7 2805
33.0%
6 2553
30.0%
5 846
 
10.0%

지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8498
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2396115 × 1010
Minimum15763000
Maximum1.8348606 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:46.950045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15763000
5-th percentile9.652805 × 108
Q12.2808785 × 109
median4.006402 × 109
Q37.496237 × 109
95-th percentile5.1412629 × 1010
Maximum1.8348606 × 1012
Range1.8348449 × 1012
Interquartile range (IQR)5.2153585 × 109

Descriptive statistics

Standard deviation1.1594598 × 1011
Coefficient of variation (CV)5.1770577
Kurtosis102.12023
Mean2.2396115 × 1010
Median Absolute Deviation (MAD)2.1671305 × 109
Skewness9.5734542
Sum1.9036698 × 1014
Variance1.344347 × 1022
MonotonicityNot monotonic
2024-05-04T04:03:47.559309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4286018000 2
 
< 0.1%
5437920000 2
 
< 0.1%
6831556000 1
 
< 0.1%
5401699000 1
 
< 0.1%
7637462000 1
 
< 0.1%
1932643000 1
 
< 0.1%
10564401000 1
 
< 0.1%
2374996000 1
 
< 0.1%
2787843000 1
 
< 0.1%
9317973000 1
 
< 0.1%
Other values (8488) 8488
99.9%
ValueCountFrequency (%)
15763000 1
< 0.1%
17838000 1
< 0.1%
18202000 1
< 0.1%
18420000 1
< 0.1%
19476000 1
< 0.1%
19949000 1
< 0.1%
22474000 1
< 0.1%
22618000 1
< 0.1%
23018000 1
< 0.1%
23462000 1
< 0.1%
ValueCountFrequency (%)
1834860618000 1
< 0.1%
1677876423000 1
< 0.1%
1664487663000 1
< 0.1%
1662688190000 1
< 0.1%
1658597575000 1
< 0.1%
1652368496000 1
< 0.1%
1615119446000 1
< 0.1%
1607096116000 1
< 0.1%
1542622363000 1
< 0.1%
1479310148000 1
< 0.1%

식료품_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8485
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6094801 × 109
Minimum252000
Maximum1.2874435 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:48.160103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum252000
5-th percentile2.649462 × 108
Q16.36316 × 108
median1.0466055 × 109
Q31.6812355 × 109
95-th percentile3.1815088 × 109
Maximum1.2874435 × 1011
Range1.287441 × 1011
Interquartile range (IQR)1.0449195 × 109

Descriptive statistics

Standard deviation5.5889565 × 109
Coefficient of variation (CV)3.472523
Kurtosis370.83979
Mean1.6094801 × 109
Median Absolute Deviation (MAD)4.94829 × 108
Skewness18.683344
Sum1.3680581 × 1013
Variance3.1236435 × 1019
MonotonicityNot monotonic
2024-05-04T04:03:48.844423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
989765000 2
 
< 0.1%
1243520000 2
 
< 0.1%
1086130000 2
 
< 0.1%
1855398000 2
 
< 0.1%
1021601000 2
 
< 0.1%
583780000 2
 
< 0.1%
1179828000 2
 
< 0.1%
1856347000 2
 
< 0.1%
882128000 2
 
< 0.1%
355876000 2
 
< 0.1%
Other values (8475) 8480
99.8%
ValueCountFrequency (%)
252000 1
< 0.1%
286000 1
< 0.1%
441000 1
< 0.1%
490000 1
< 0.1%
552000 1
< 0.1%
687000 1
< 0.1%
893000 1
< 0.1%
895000 1
< 0.1%
1126000 1
< 0.1%
1171000 1
< 0.1%
ValueCountFrequency (%)
128744348000 1
< 0.1%
125042370000 1
< 0.1%
123470262000 1
< 0.1%
119342097000 1
< 0.1%
119152426000 1
< 0.1%
118387821000 1
< 0.1%
116073001000 1
< 0.1%
114454420000 1
< 0.1%
113830864000 1
< 0.1%
113451836000 1
< 0.1%

의류_신발_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8318
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7509325 × 108
Minimum0
Maximum2.4583812 × 1010
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:49.378275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8808800
Q127145500
median58719500
Q31.46779 × 108
95-th percentile8.569166 × 108
Maximum2.4583812 × 1010
Range2.4583812 × 1010
Interquartile range (IQR)1.196335 × 108

Descriptive statistics

Standard deviation1.1001384 × 109
Coefficient of variation (CV)3.9991472
Kurtosis143.22014
Mean2.7509325 × 108
Median Absolute Deviation (MAD)39978500
Skewness10.423431
Sum2.3382926 × 1012
Variance1.2103045 × 1018
MonotonicityNot monotonic
2024-05-04T04:03:49.842771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28904000 3
 
< 0.1%
13786000 3
 
< 0.1%
66553000 3
 
< 0.1%
0 3
 
< 0.1%
39017000 2
 
< 0.1%
45031000 2
 
< 0.1%
17045000 2
 
< 0.1%
23763000 2
 
< 0.1%
88751000 2
 
< 0.1%
14582000 2
 
< 0.1%
Other values (8308) 8476
99.7%
ValueCountFrequency (%)
0 3
< 0.1%
66000 1
 
< 0.1%
88000 1
 
< 0.1%
310000 1
 
< 0.1%
658000 1
 
< 0.1%
674000 1
 
< 0.1%
697000 1
 
< 0.1%
720000 1
 
< 0.1%
734000 1
 
< 0.1%
804000 1
 
< 0.1%
ValueCountFrequency (%)
24583812000 1
< 0.1%
20006617000 1
< 0.1%
19948906000 1
< 0.1%
19694950000 1
< 0.1%
18924959000 1
< 0.1%
17989365000 1
< 0.1%
17400752000 1
< 0.1%
17222540000 1
< 0.1%
16945397000 1
< 0.1%
16441198000 1
< 0.1%

생활용품_지출_총금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8198
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6625602 × 108
Minimum-1484000
Maximum6.635948 × 1010
Zeros113
Zeros (%)1.3%
Negative1
Negative (%)< 0.1%
Memory size74.8 KiB
2024-05-04T04:03:50.277212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1484000
5-th percentile2740450
Q120000000
median55045500
Q31.4901025 × 108
95-th percentile5.7442165 × 108
Maximum6.635948 × 1010
Range6.6360964 × 1010
Interquartile range (IQR)1.2901025 × 108

Descriptive statistics

Standard deviation2.0087894 × 109
Coefficient of variation (CV)7.5445786
Kurtosis531.61991
Mean2.6625602 × 108
Median Absolute Deviation (MAD)44295500
Skewness21.321587
Sum2.2631761 × 1012
Variance4.035235 × 1018
MonotonicityNot monotonic
2024-05-04T04:03:50.741744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113
 
1.3%
6261000 3
 
< 0.1%
16353000 3
 
< 0.1%
12342000 3
 
< 0.1%
12126000 2
 
< 0.1%
1380000 2
 
< 0.1%
942000 2
 
< 0.1%
60106000 2
 
< 0.1%
52762000 2
 
< 0.1%
89067000 2
 
< 0.1%
Other values (8188) 8366
98.4%
ValueCountFrequency (%)
-1484000 1
 
< 0.1%
0 113
1.3%
16000 1
 
< 0.1%
21000 1
 
< 0.1%
25000 1
 
< 0.1%
50000 1
 
< 0.1%
53000 1
 
< 0.1%
55000 1
 
< 0.1%
59000 1
 
< 0.1%
68000 1
 
< 0.1%
ValueCountFrequency (%)
66359480000 1
< 0.1%
57129277000 1
< 0.1%
56306734000 1
< 0.1%
52914334000 1
< 0.1%
49144789000 1
< 0.1%
47282930000 1
< 0.1%
46789078000 1
< 0.1%
41678884000 1
< 0.1%
40687915000 1
< 0.1%
37013634000 1
< 0.1%

의료비_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8458
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4088141 × 109
Minimum0
Maximum8.104718 × 1010
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:51.125310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56079000
Q12.27667 × 108
median5.342875 × 108
Q31.1690958 × 109
95-th percentile4.7220756 × 109
Maximum8.104718 × 1010
Range8.104718 × 1010
Interquartile range (IQR)9.4142875 × 108

Descriptive statistics

Standard deviation4.0259317 × 109
Coefficient of variation (CV)2.8576741
Kurtosis149.16796
Mean1.4088141 × 109
Median Absolute Deviation (MAD)3.62335 × 108
Skewness10.574836
Sum1.197492 × 1013
Variance1.6208126 × 1019
MonotonicityNot monotonic
2024-05-04T04:03:51.502177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
0.2%
382067000 2
 
< 0.1%
111651000 2
 
< 0.1%
47125000 2
 
< 0.1%
56079000 2
 
< 0.1%
231466000 2
 
< 0.1%
298323000 2
 
< 0.1%
188718000 2
 
< 0.1%
454501000 2
 
< 0.1%
151716000 2
 
< 0.1%
Other values (8448) 8462
99.6%
ValueCountFrequency (%)
0 20
0.2%
1602000 1
 
< 0.1%
2404000 1
 
< 0.1%
3900000 1
 
< 0.1%
5151000 1
 
< 0.1%
5233000 1
 
< 0.1%
5322000 1
 
< 0.1%
5597000 1
 
< 0.1%
5966000 1
 
< 0.1%
6041000 1
 
< 0.1%
ValueCountFrequency (%)
81047180000 1
< 0.1%
76960417000 1
< 0.1%
76363862000 1
< 0.1%
71671571000 1
< 0.1%
70677519000 1
< 0.1%
70568096000 1
< 0.1%
68797441000 1
< 0.1%
68574022000 1
< 0.1%
67608137000 1
< 0.1%
64873940000 1
< 0.1%

교통_지출_총금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8180
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6693863 × 109
Minimum-1.954861 × 109
Maximum4.2115026 × 1011
Zeros229
Zeros (%)2.7%
Negative8
Negative (%)0.1%
Memory size74.8 KiB
2024-05-04T04:03:51.932595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.954861 × 109
5-th percentile1769400
Q128121750
median1.49937 × 108
Q34.2129075 × 108
95-th percentile1.2433117 × 109
Maximum4.2115026 × 1011
Range4.2310512 × 1011
Interquartile range (IQR)3.93169 × 108

Descriptive statistics

Standard deviation1.8916691 × 1010
Coefficient of variation (CV)11.331524
Kurtosis339.52544
Mean1.6693863 × 109
Median Absolute Deviation (MAD)1.3859 × 108
Skewness17.844456
Sum1.4189784 × 1013
Variance3.5784119 × 1020
MonotonicityNot monotonic
2024-05-04T04:03:52.408131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
 
2.7%
750000 3
 
< 0.1%
1770000 3
 
< 0.1%
31769000 2
 
< 0.1%
1144000 2
 
< 0.1%
194576000 2
 
< 0.1%
60922000 2
 
< 0.1%
12065000 2
 
< 0.1%
5764000 2
 
< 0.1%
270348000 2
 
< 0.1%
Other values (8170) 8251
97.1%
ValueCountFrequency (%)
-1954861000 1
 
< 0.1%
-1857044000 1
 
< 0.1%
-491439000 1
 
< 0.1%
-463131000 1
 
< 0.1%
-262200000 1
 
< 0.1%
-250057000 1
 
< 0.1%
-169025000 1
 
< 0.1%
-8765000 1
 
< 0.1%
0 229
2.7%
19000 1
 
< 0.1%
ValueCountFrequency (%)
421150255000 1
< 0.1%
409561714000 1
< 0.1%
401603799000 1
< 0.1%
401204703000 1
< 0.1%
392778456000 1
< 0.1%
387613133000 1
< 0.1%
383341544000 1
< 0.1%
383319236000 1
< 0.1%
380665387000 1
< 0.1%
377143818000 1
< 0.1%

교육_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8408
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9746166 × 108
Minimum-80168000
Maximum2.5829375 × 1010
Zeros11
Zeros (%)0.1%
Negative1
Negative (%)< 0.1%
Memory size74.8 KiB
2024-05-04T04:03:53.043303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-80168000
5-th percentile24001350
Q175514250
median1.508205 × 108
Q33.1771975 × 108
95-th percentile1.2770755 × 109
Maximum2.5829375 × 1010
Range2.5909543 × 1010
Interquartile range (IQR)2.422055 × 108

Descriptive statistics

Standard deviation1.266973 × 109
Coefficient of variation (CV)3.1876608
Kurtosis191.35661
Mean3.9746166 × 108
Median Absolute Deviation (MAD)91974000
Skewness12.103037
Sum3.3784241 × 1012
Variance1.6052205 × 1018
MonotonicityNot monotonic
2024-05-04T04:03:53.541366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
0.1%
213044000 2
 
< 0.1%
124227000 2
 
< 0.1%
40487000 2
 
< 0.1%
25016000 2
 
< 0.1%
107886000 2
 
< 0.1%
115092000 2
 
< 0.1%
27762000 2
 
< 0.1%
37866000 2
 
< 0.1%
41210000 2
 
< 0.1%
Other values (8398) 8471
99.7%
ValueCountFrequency (%)
-80168000 1
 
< 0.1%
0 11
0.1%
520000 1
 
< 0.1%
602000 1
 
< 0.1%
774000 1
 
< 0.1%
858000 1
 
< 0.1%
1062000 1
 
< 0.1%
1188000 1
 
< 0.1%
1190000 1
 
< 0.1%
1191000 1
 
< 0.1%
ValueCountFrequency (%)
25829375000 1
< 0.1%
25761828000 1
< 0.1%
25559728000 1
< 0.1%
25488587000 1
< 0.1%
25222644000 1
< 0.1%
24520438000 1
< 0.1%
24429153000 1
< 0.1%
24398227000 1
< 0.1%
23299638000 1
< 0.1%
19418501000 1
< 0.1%

유흥_지출_총금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8199
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0055765 × 108
Minimum0
Maximum6.169692 × 109
Zeros186
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:53.984694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5662600
Q136013000
median87794500
Q32.04142 × 108
95-th percentile7.6362415 × 108
Maximum6.169692 × 109
Range6.169692 × 109
Interquartile range (IQR)1.68129 × 108

Descriptive statistics

Standard deviation3.9247848 × 108
Coefficient of variation (CV)1.956936
Kurtosis66.218608
Mean2.0055765 × 108
Median Absolute Deviation (MAD)64043500
Skewness6.637644
Sum1.70474 × 1012
Variance1.5403936 × 1017
MonotonicityNot monotonic
2024-05-04T04:03:54.489413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
2.2%
37723000 2
 
< 0.1%
32438000 2
 
< 0.1%
48242000 2
 
< 0.1%
99710000 2
 
< 0.1%
30575000 2
 
< 0.1%
10258000 2
 
< 0.1%
65597000 2
 
< 0.1%
45866000 2
 
< 0.1%
22488000 2
 
< 0.1%
Other values (8189) 8296
97.6%
ValueCountFrequency (%)
0 186
2.2%
148000 1
 
< 0.1%
190000 1
 
< 0.1%
197000 1
 
< 0.1%
226000 1
 
< 0.1%
253000 1
 
< 0.1%
341000 1
 
< 0.1%
432000 1
 
< 0.1%
439000 1
 
< 0.1%
450000 1
 
< 0.1%
ValueCountFrequency (%)
6169692000 1
< 0.1%
6006022000 1
< 0.1%
5972236000 1
< 0.1%
5962959000 1
< 0.1%
5795619000 1
< 0.1%
5647431000 1
< 0.1%
5625851000 1
< 0.1%
5395552000 1
< 0.1%
5313175000 1
< 0.1%
5160791000 1
< 0.1%

여가_문화_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8426
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.221218 × 1010
Minimum0
Maximum1.8101996 × 1012
Zeros14
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:55.052572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34314950
Q11.14327 × 108
median2.34934 × 108
Q34.694935 × 108
95-th percentile1.006442 × 1010
Maximum1.8101996 × 1012
Range1.8101996 × 1012
Interquartile range (IQR)3.551665 × 108

Descriptive statistics

Standard deviation1.0206432 × 1011
Coefficient of variation (CV)8.357584
Kurtosis144.59162
Mean1.221218 × 1010
Median Absolute Deviation (MAD)1.446065 × 108
Skewness11.524794
Sum1.0380353 × 1014
Variance1.0417125 × 1022
MonotonicityNot monotonic
2024-05-04T04:03:56.100467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
0.2%
13728000 2
 
< 0.1%
290703000 2
 
< 0.1%
74349000 2
 
< 0.1%
156025000 2
 
< 0.1%
54455000 2
 
< 0.1%
25808000 2
 
< 0.1%
141139000 2
 
< 0.1%
397814000 2
 
< 0.1%
250620000 2
 
< 0.1%
Other values (8416) 8468
99.6%
ValueCountFrequency (%)
0 14
0.2%
544000 1
 
< 0.1%
1092000 1
 
< 0.1%
1835000 1
 
< 0.1%
1964000 1
 
< 0.1%
2258000 1
 
< 0.1%
2318000 1
 
< 0.1%
2658000 1
 
< 0.1%
3322000 1
 
< 0.1%
3442000 1
 
< 0.1%
ValueCountFrequency (%)
1810199565000 1
< 0.1%
1661962297000 1
< 0.1%
1643364681000 1
< 0.1%
1642507089000 1
< 0.1%
1640163042000 1
< 0.1%
1630660595000 1
< 0.1%
1593301531000 1
< 0.1%
1588525148000 1
< 0.1%
1523658137000 1
< 0.1%
1464634133000 1
< 0.1%

기타_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8410
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8246222 × 109
Minimum374000
Maximum7.3088935 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:56.768236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum374000
5-th percentile19671950
Q165469000
median1.41979 × 108
Q32.9122225 × 108
95-th percentile1.5391433 × 109
Maximum7.3088935 × 1011
Range7.3088897 × 1011
Interquartile range (IQR)2.2575325 × 108

Descriptive statistics

Standard deviation3.0354086 × 1010
Coefficient of variation (CV)10.746246
Kurtosis359.19649
Mean2.8246222 × 109
Median Absolute Deviation (MAD)90663500
Skewness18.051677
Sum2.4009289 × 1013
Variance9.2137052 × 1020
MonotonicityNot monotonic
2024-05-04T04:03:57.360685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147130000 3
 
< 0.1%
112181000 3
 
< 0.1%
69028000 2
 
< 0.1%
145447000 2
 
< 0.1%
273958000 2
 
< 0.1%
65102000 2
 
< 0.1%
145106000 2
 
< 0.1%
249891000 2
 
< 0.1%
194685000 2
 
< 0.1%
125771000 2
 
< 0.1%
Other values (8400) 8478
99.7%
ValueCountFrequency (%)
374000 1
< 0.1%
380000 1
< 0.1%
530000 1
< 0.1%
600000 1
< 0.1%
641000 1
< 0.1%
652000 1
< 0.1%
718000 1
< 0.1%
851000 1
< 0.1%
868000 1
< 0.1%
877000 1
< 0.1%
ValueCountFrequency (%)
730889348000 1
< 0.1%
713944713000 1
< 0.1%
692214431000 1
< 0.1%
676104224000 1
< 0.1%
675820074000 1
< 0.1%
639561434000 1
< 0.1%
638403630000 1
< 0.1%
633812971000 1
< 0.1%
616869709000 1
< 0.1%
614321427000 1
< 0.1%

음식_지출_총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct8492
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5322638 × 109
Minimum1024000
Maximum2.149957 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T04:03:57.930468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1024000
5-th percentile1.6040475 × 108
Q14.77176 × 108
median9.454765 × 108
Q31.751544 × 109
95-th percentile4.9108718 × 109
Maximum2.149957 × 1010
Range2.1498546 × 1010
Interquartile range (IQR)1.274368 × 109

Descriptive statistics

Standard deviation2.03105 × 109
Coefficient of variation (CV)1.3255224
Kurtosis30.423864
Mean1.5322638 × 109
Median Absolute Deviation (MAD)5.444395 × 108
Skewness4.5898555
Sum1.3024242 × 1013
Variance4.125164 × 1018
MonotonicityNot monotonic
2024-05-04T04:03:58.578039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1069923000 2
 
< 0.1%
178705000 2
 
< 0.1%
400518000 2
 
< 0.1%
894442000 2
 
< 0.1%
813463000 2
 
< 0.1%
340236000 2
 
< 0.1%
676019000 2
 
< 0.1%
940934000 2
 
< 0.1%
753538000 1
 
< 0.1%
493413000 1
 
< 0.1%
Other values (8482) 8482
99.8%
ValueCountFrequency (%)
1024000 1
< 0.1%
1918000 1
< 0.1%
2243000 1
< 0.1%
2355000 1
< 0.1%
2497000 1
< 0.1%
2833000 1
< 0.1%
3003000 1
< 0.1%
3111000 1
< 0.1%
3131000 1
< 0.1%
3359000 1
< 0.1%
ValueCountFrequency (%)
21499570000 1
< 0.1%
21415942000 1
< 0.1%
21284901000 1
< 0.1%
21159893000 1
< 0.1%
20851349000 1
< 0.1%
20347302000 1
< 0.1%
20075918000 1
< 0.1%
20051983000 1
< 0.1%
20042063000 1
< 0.1%
19920662000 1
< 0.1%

Interactions

2024-05-04T04:03:32.377897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:13.627518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:18.216703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:23.794028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:29.272610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:35.326745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:40.798681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:47.905956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:53.853707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:58.507584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:04.001370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:10.503494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:15.359227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:21.603619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:27.153473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:32.639426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:13.947383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:18.511720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-05-04T04:02:53.582299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:02:58.217561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:03.599304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:09.906474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:14.977646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:21.179616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:26.856274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:03:32.108919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T04:03:58.930036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준_년분기_코드행정동_코드월_평균_소득_금액소득_구간_코드지출_총금액식료품_지출_총금액의류_신발_지출_총금액생활용품_지출_총금액의료비_지출_총금액교통_지출_총금액교육_지출_총금액유흥_지출_총금액여가_문화_지출_총금액기타_지출_총금액음식_지출_총금액
기준_년분기_코드1.0000.0000.0000.0000.0000.0310.0000.0000.0220.0000.0140.0710.0450.0520.091
행정동_코드0.0001.0000.5480.4190.2120.1530.2190.1080.2710.1840.2230.2220.2020.1250.265
월_평균_소득_금액0.0000.5481.0000.9460.3540.1350.2140.1500.3830.2100.4790.2290.2670.2130.358
소득_구간_코드0.0000.4190.9461.0000.1900.1310.1370.1070.2590.1230.5230.0970.1460.1440.228
지출_총금액0.0000.2120.3540.1901.0000.4920.2060.1000.4830.5670.1820.5210.9760.6720.547
식료품_지출_총금액0.0310.1530.1350.1310.4921.0000.0000.0000.0000.7010.0000.0000.3010.0000.049
의류_신발_지출_총금액0.0000.2190.2140.1370.2060.0001.0000.8180.2950.0000.1230.5870.1980.1550.568
생활용품_지출_총금액0.0000.1080.1500.1070.1000.0000.8181.0000.0000.0000.0000.0000.0000.0000.250
의료비_지출_총금액0.0220.2710.3830.2590.4830.0000.2950.0001.0000.0000.2320.5820.5020.4100.623
교통_지출_총금액0.0000.1840.2100.1230.5670.7010.0000.0000.0001.0000.0000.0420.2550.0000.293
교육_지출_총금액0.0140.2230.4790.5230.1820.0000.1230.0000.2320.0001.0000.2010.2040.2410.320
유흥_지출_총금액0.0710.2220.2290.0970.5210.0000.5870.0000.5820.0420.2011.0000.6950.4300.845
여가_문화_지출_총금액0.0450.2020.2670.1460.9760.3010.1980.0000.5020.2550.2040.6951.0000.4520.534
기타_지출_총금액0.0520.1250.2130.1440.6720.0000.1550.0000.4100.0000.2410.4300.4521.0000.372
음식_지출_총금액0.0910.2650.3580.2280.5470.0490.5680.2500.6230.2930.3200.8450.5340.3721.000
2024-05-04T04:03:59.463943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준_년분기_코드행정동_코드월_평균_소득_금액소득_구간_코드지출_총금액식료품_지출_총금액의류_신발_지출_총금액생활용품_지출_총금액의료비_지출_총금액교통_지출_총금액교육_지출_총금액유흥_지출_총금액여가_문화_지출_총금액기타_지출_총금액음식_지출_총금액
기준_년분기_코드1.0000.000-0.032-0.0290.0940.1500.0300.0000.1110.0650.028-0.0140.0800.0550.078
행정동_코드0.0001.0000.1800.1670.1670.1830.0130.0920.2230.1190.3170.0560.1410.1730.073
월_평균_소득_금액-0.0320.1801.0000.9640.1980.0450.0820.0120.180-0.0100.431-0.0760.2400.2490.146
소득_구간_코드-0.0290.1670.9641.0000.1940.0390.0670.0040.180-0.0110.405-0.0680.2310.2430.138
지출_총금액0.0940.1670.1980.1941.0000.7850.6970.6280.8390.5010.5680.7490.8780.8340.904
식료품_지출_총금액0.1500.1830.0450.0390.7851.0000.5620.4850.6430.3680.5120.6020.6330.6910.695
의류_신발_지출_총금액0.0300.0130.0820.0670.6970.5621.0000.5460.6230.3030.3660.6610.6810.6700.736
생활용품_지출_총금액0.0000.0920.0120.0040.6280.4850.5461.0000.5720.4310.3040.5550.5820.5740.608
의료비_지출_총금액0.1110.2230.1800.1800.8390.6430.6230.5721.0000.4120.5310.6460.7380.7620.758
교통_지출_총금액0.0650.119-0.010-0.0110.5010.3680.3030.4310.4121.0000.2330.3710.4310.3560.432
교육_지출_총금액0.0280.3170.4310.4050.5680.5120.3660.3040.5310.2331.0000.3260.5170.5610.484
유흥_지출_총금액-0.0140.056-0.076-0.0680.7490.6020.6610.5550.6460.3710.3261.0000.7080.7070.850
여가_문화_지출_총금액0.0800.1410.2400.2310.8780.6330.6810.5820.7380.4310.5170.7081.0000.7840.856
기타_지출_총금액0.0550.1730.2490.2430.8340.6910.6700.5740.7620.3560.5610.7070.7841.0000.829
음식_지출_총금액0.0780.0730.1460.1380.9040.6950.7360.6080.7580.4320.4840.8500.8560.8291.000

Missing values

2024-05-04T04:03:37.396565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:03:38.342918image/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

기준_년분기_코드행정동_코드행정동_코드_명월_평균_소득_금액소득_구간_코드지출_총금액식료품_지출_총금액의류_신발_지출_총금액생활용품_지출_총금액의료비_지출_총금액교통_지출_총금액교육_지출_총금액유흥_지출_총금액여가_문화_지출_총금액기타_지출_총금액음식_지출_총금액
02023111650652양재2동3222382710104796000222216000015214300070918000181729000080172300025954400019258400010934030001522870003342744000
12023111680690개포4동3550527735356050009054890006703100024832400064230500015851100017623000047715000246719000328323000714958000
22023111680656도곡2동65675049512012510001700247000200892000156300000686581000289318000418130000159125000446993730005437090002347576000
32023111710641문정1동35683577359414500010262020001057410003035400056753500010652500012302300010969700055958900090667000874812000
42023111710610삼전동277998067596721000189983400010910400036445000012052940002305870007351040001187000007151800005184540001700014000
52023111740550고덕1동461864181864728000991281000265180001541100021549100027170000178813000215590005445400051341000282690000
62023111740560고덕2동2465499627660670009079500002604000070031000674796000306580003021540002286000012055900095357000515662000
72023111740610천호2동274974167835732800017686960002055200001725800002583582000377527000242802000800488000684900840006665380003049511000
82023111110615종로1?2?3?4가동3245251720255508800051857730001872928000107230700069721230005218245000154822200028338870001186954760003923546500019920662000
92023111140550명동3733600797150590000277344800011649120003729748000345126600069478900002548858700038125500011519841000325539230009139720000
기준_년분기_코드행정동_코드행정동_코드_명월_평균_소득_금액소득_구간_코드지출_총금액식료품_지출_총금액의류_신발_지출_총금액생활용품_지출_총금액의료비_지출_총금액교통_지출_총금액교육_지출_총금액유흥_지출_총금액여가_문화_지출_총금액기타_지출_총금액음식_지출_총금액
84902022411680531논현2동39739938275254140004783945000995363000412280000661465000010757190006030540001055132000315857700027692130006057481000
84912022411680600대치1동7421305101181892700012967270002483400041210001955417000189130006506528000573430003879140004412250001125905000
84922022411710520풍납2동389170484876471000109167700021935000265160002711787000729980001510430004632900024922100060763000444202000
84932022411710561방이1동39705208580149600052282800075569000294000077040800066671200016689140001579790001420890002334250001560632000
84942022411710562방이2동292827161829273900022707530002831150001319560004563807000638488000774076000138440500010154450004643890006766305000
84952022411710641문정1동356835774066688000103733700015911400018946000743394000111789000110344000119378000653474000121129000991783000
84962022411710646장지동326346473726339000131041500036856000157760006632670003349250003312170008508200019583500080583000672383000
84972022411710647위례동4202887849539320009295850006352400072860005438220001228796000662566000290080001969000001952540001097191000
84982022411740600천호1동247311162965499000766647000109813000719490004753020005665400021832300048717000411595000142343000664156000
84992022411740660성내3동2897346671157570001704023000216698000987280009335450004267940002423560001788530004173840002308890002666487000