Overview

Dataset statistics

Number of variables68
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory616.4 B

Variable types

Numeric67
Categorical1

Dataset

Description샘플 데이터
AuthorKCB(코리아크레딧뷰로)
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=46

Alerts

중위사업소득(STAT_H_DONG_015) has constant value ""Constant
통계청_행정동코드(HANG_CD) has unique valuesUnique
행안부_행정동코드(G_ADM_DONG_CD) has unique valuesUnique
집계가구수(STAT_H_DONG_001) has unique valuesUnique
가구주가_남성인_가구수(STAT_H_DONG_002) has unique valuesUnique
가구주가_여성인_가구수(STAT_H_DONG_003) has unique valuesUnique
가구주연령대가_30대인_가구수(STAT_H_DONG_005) has unique valuesUnique
가구주연령대가_40대인_가구수(STAT_H_DONG_006) has unique valuesUnique
가구주연령대가_50대인_가구수(STAT_H_DONG_007) has unique valuesUnique
가구주연령대가_70대이상인_가구수(STAT_H_DONG_009) has unique valuesUnique
평균근로소득(STAT_H_DONG_010) has unique valuesUnique
평균사업소득(STAT_H_DONG_011) has unique valuesUnique
평균총소득(STAT_H_DONG_013) has unique valuesUnique
중위근로소득(STAT_H_DONG_014) has unique valuesUnique
중위기타소특(STAT_H_DONG_016) has unique valuesUnique
중위총소득(STAT_H_DONG_017) has unique valuesUnique
1분위소득가구수(STAT_H_DONG_018) has unique valuesUnique
2분위소득가구수(STAT_H_DONG_019) has unique valuesUnique
3분위소득가구수(STAT_H_DONG_020) has unique valuesUnique
4분위소득가구수(STAT_H_DONG_021) has unique valuesUnique
5분위소득가구수(STAT_H_DONG_022) has unique valuesUnique
30대평균소득(STAT_H_DONG_024) has unique valuesUnique
40대평균소득(STAT_H_DONG_025) has unique valuesUnique
50대평균소득(STAT_H_DONG_026) has unique valuesUnique
60대평균소득(STAT_H_DONG_027) has unique valuesUnique
70대이상평균소득(STAT_H_DONG_028) has unique valuesUnique
1인가구수(STAT_H_DONG_029) has unique valuesUnique
2인가구수(STAT_H_DONG_030) has unique valuesUnique
4인가구수(STAT_H_DONG_032) has unique valuesUnique
1인가구평균근로소득(STAT_H_DONG_034) has unique valuesUnique
1인가구평균사업소득(STAT_H_DONG_035) has unique valuesUnique
1인가구평균총소득(STAT_H_DONG_037) has unique valuesUnique
2인가구평균근로소득(STAT_H_DONG_038) has unique valuesUnique
2인가구평균사업소득(STAT_H_DONG_039) has unique valuesUnique
2인가구평균총소득(STAT_H_DONG_041) has unique valuesUnique
3인가구평균근로소득(STAT_H_DONG_042) has unique valuesUnique
3인가구평균총소득(STAT_H_DONG_045) has unique valuesUnique
4인가구평균사업소득(STAT_H_DONG_047) has unique valuesUnique
4인가구평균총소득(STAT_H_DONG_049) has unique valuesUnique
5인가구평균근로소득(STAT_H_DONG_050) has unique valuesUnique
5인가구평균사업소득(STAT_H_DONG_051) has unique valuesUnique
5인가구평균총소득(STAT_H_DONG_053) has unique valuesUnique
평균월소비(STAT_H_DONG_058) has unique valuesUnique
2인가구평균월소비(STAT_H_DONG_060) has unique valuesUnique
3인가구평균월소비(STAT_H_DONG_061) has unique valuesUnique
4인가구평균월소비(STAT_H_DONG_062) has unique valuesUnique
5인이상가구평균월소비(STAT_H_DONG_063) has unique valuesUnique
평균대출잔액(STAT_H_DONG_064) has unique valuesUnique
1인가구평균대출잔액(STAT_H_DONG_065) has unique valuesUnique
2인가구평균대출잔액(STAT_H_DONG_066) has unique valuesUnique
3인가구평균대출잔액(STAT_H_DONG_067) has unique valuesUnique
4인가구평균대출잔액(STAT_H_DONG_068) has unique valuesUnique
5인이상가구평균대출잔액(STAT_H_DONG_069) has unique valuesUnique
5인이상가구평균월소비(STAT_H_DONG_063) has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:54:51.587598
Analysis finished2023-12-10 14:54:52.307600
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201969.63
Minimum201810
Maximum202102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:52.384787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201810
5-th percentile201901.45
Q1201908.25
median202002.5
Q3202007.5
95-th percentile202101.55
Maximum202102
Range292
Interquartile range (IQR)99.25

Descriptive statistics

Standard deviation70.403998
Coefficient of variation (CV)0.00034858705
Kurtosis-0.27434354
Mean201969.63
Median Absolute Deviation (MAD)91
Skewness0.063119102
Sum6059089
Variance4956.723
MonotonicityNot monotonic
2023-12-10T23:54:52.546099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
202004 3
 
10.0%
202102 2
 
6.7%
201911 2
 
6.7%
202012 2
 
6.7%
201905 2
 
6.7%
201906 2
 
6.7%
202005 2
 
6.7%
202011 2
 
6.7%
202006 1
 
3.3%
202001 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
201810 1
3.3%
201901 1
3.3%
201902 1
3.3%
201905 2
6.7%
201906 2
6.7%
201908 1
3.3%
201909 1
3.3%
201910 1
3.3%
201911 2
6.7%
201912 1
3.3%
ValueCountFrequency (%)
202102 2
6.7%
202101 1
 
3.3%
202012 2
6.7%
202011 2
6.7%
202008 1
 
3.3%
202006 1
 
3.3%
202005 2
6.7%
202004 3
10.0%
202003 1
 
3.3%
202002 1
 
3.3%

통계청_행정동코드(HANG_CD)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1114031.2
Minimum1101057
Maximum1125073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:52.725660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101057
5-th percentile1103319.2
Q11109568.2
median1113071.5
Q31118818
95-th percentile1123617.6
Maximum1125073
Range24016
Interquartile range (IQR)9249.75

Descriptive statistics

Standard deviation6499.6492
Coefficient of variation (CV)0.0058343509
Kurtosis-0.6192531
Mean1114031.2
Median Absolute Deviation (MAD)4497
Skewness-0.08625182
Sum33420937
Variance42245439
MonotonicityNot monotonic
2023-12-10T23:54:52.929089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1111076 1
 
3.3%
1109064 1
 
3.3%
1111052 1
 
3.3%
1101057 1
 
3.3%
1111059 1
 
3.3%
1124060 1
 
3.3%
1111051 1
 
3.3%
1115066 1
 
3.3%
1115060 1
 
3.3%
1108072 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1101057 1
3.3%
1101058 1
3.3%
1106083 1
3.3%
1107060 1
3.3%
1108072 1
3.3%
1109064 1
3.3%
1109069 1
3.3%
1109074 1
3.3%
1111051 1
3.3%
1111052 1
3.3%
ValueCountFrequency (%)
1125073 1
3.3%
1124060 1
3.3%
1123077 1
3.3%
1122067 1
3.3%
1122057 1
3.3%
1122054 1
3.3%
1121072 1
3.3%
1119071 1
3.3%
1118059 1
3.3%
1118058 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11380618
Minimum11110600
Maximum11740650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:53.101282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110600
5-th percentile11140648
Q111215767
median11335638
Q311553029
95-th percentile11740626
Maximum11740650
Range630050
Interquartile range (IQR)337262

Descriptive statistics

Standard deviation206751.01
Coefficient of variation (CV)0.01816694
Kurtosis-1.0012505
Mean11380618
Median Absolute Deviation (MAD)165035.5
Skewness0.5827325
Sum3.4141855 × 108
Variance4.2745981 × 1010
MonotonicityNot monotonic
2023-12-10T23:54:53.269320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11215847 1
 
3.3%
11140635 1
 
3.3%
11110600 1
 
3.3%
11380570 1
 
3.3%
11620695 1
 
3.3%
11320515 1
 
3.3%
11710610 1
 
3.3%
11740640 1
 
3.3%
11620575 1
 
3.3%
11170555 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11110600 1
3.3%
11140635 1
3.3%
11140665 1
3.3%
11170520 1
3.3%
11170530 1
3.3%
11170555 1
3.3%
11170650 1
3.3%
11215740 1
3.3%
11215847 1
3.3%
11230710 1
3.3%
ValueCountFrequency (%)
11740650 1
3.3%
11740640 1
3.3%
11740610 1
3.3%
11710610 1
3.3%
11680600 1
3.3%
11620695 1
3.3%
11620575 1
3.3%
11560535 1
3.3%
11530510 1
3.3%
11410585 1
3.3%

집계가구수(STAT_H_DONG_001)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8153.4
Minimum2656
Maximum17277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:53.460931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2656
5-th percentile3680.95
Q16715.25
median8094.5
Q39361
95-th percentile12400.5
Maximum17277
Range14621
Interquartile range (IQR)2645.75

Descriptive statistics

Standard deviation3017.2734
Coefficient of variation (CV)0.37006321
Kurtosis1.7638964
Mean8153.4
Median Absolute Deviation (MAD)1373.5
Skewness0.69336366
Sum244602
Variance9103938.7
MonotonicityNot monotonic
2023-12-10T23:54:53.671080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6617 1
 
3.3%
8024 1
 
3.3%
9364 1
 
3.3%
4137 1
 
3.3%
12675 1
 
3.3%
5115 1
 
3.3%
6334 1
 
3.3%
8731 1
 
3.3%
8165 1
 
3.3%
4094 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2656 1
3.3%
3343 1
3.3%
4094 1
3.3%
4137 1
3.3%
5115 1
3.3%
5163 1
3.3%
6334 1
3.3%
6617 1
3.3%
7010 1
3.3%
7102 1
3.3%
ValueCountFrequency (%)
17277 1
3.3%
12675 1
3.3%
12065 1
3.3%
11262 1
3.3%
11073 1
3.3%
10541 1
3.3%
10193 1
3.3%
9364 1
3.3%
9352 1
3.3%
8731 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4566.1667
Minimum1386
Maximum8199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:53.845451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1386
5-th percentile2394.55
Q13514.5
median4371.5
Q35790.25
95-th percentile7408.85
Maximum8199
Range6813
Interquartile range (IQR)2275.75

Descriptive statistics

Standard deviation1647.5598
Coefficient of variation (CV)0.36081903
Kurtosis-0.13369083
Mean4566.1667
Median Absolute Deviation (MAD)1119
Skewness0.37905894
Sum136985
Variance2714453.5
MonotonicityNot monotonic
2023-12-10T23:54:54.016565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3644 1
 
3.3%
5863 1
 
3.3%
3609 1
 
3.3%
8199 1
 
3.3%
3943 1
 
3.3%
1386 1
 
3.3%
4785 1
 
3.3%
2260 1
 
3.3%
5306 1
 
3.3%
4591 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1386 1
3.3%
2260 1
3.3%
2559 1
3.3%
2630 1
3.3%
2715 1
3.3%
3155 1
3.3%
3334 1
3.3%
3483 1
3.3%
3609 1
3.3%
3644 1
3.3%
ValueCountFrequency (%)
8199 1
3.3%
8042 1
3.3%
6635 1
3.3%
6437 1
3.3%
6414 1
3.3%
5951 1
3.3%
5943 1
3.3%
5863 1
3.3%
5572 1
3.3%
5306 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3196.4333
Minimum72
Maximum5966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:54.189843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile997.2
Q12360.25
median3177
Q34199.25
95-th percentile5332.1
Maximum5966
Range5894
Interquartile range (IQR)1839

Descriptive statistics

Standard deviation1386.7807
Coefficient of variation (CV)0.43385253
Kurtosis-0.098015968
Mean3196.4333
Median Absolute Deviation (MAD)919.5
Skewness-0.096857093
Sum95893
Variance1923160.7
MonotonicityNot monotonic
2023-12-10T23:54:54.382411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2281 1
 
3.3%
3302 1
 
3.3%
1401 1
 
3.3%
3290 1
 
3.3%
756 1
 
3.3%
1292 1
 
3.3%
5009 1
 
3.3%
4161 1
 
3.3%
2234 1
 
3.3%
3401 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
72 1
3.3%
756 1
3.3%
1292 1
3.3%
1401 1
3.3%
1978 1
3.3%
2234 1
3.3%
2281 1
3.3%
2304 1
3.3%
2529 1
3.3%
2576 1
3.3%
ValueCountFrequency (%)
5966 1
3.3%
5486 1
3.3%
5144 1
3.3%
5009 1
3.3%
4803 1
3.3%
4277 1
3.3%
4271 1
3.3%
4212 1
3.3%
4161 1
3.3%
4005 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.4
Minimum7
Maximum2550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:54.559561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile16.9
Q155.75
median171.5
Q3284.75
95-th percentile1153.95
Maximum2550
Range2543
Interquartile range (IQR)229

Descriptive statistics

Standard deviation517.60533
Coefficient of variation (CV)1.571358
Kurtosis12.313944
Mean329.4
Median Absolute Deviation (MAD)123
Skewness3.3276338
Sum9882
Variance267915.28
MonotonicityNot monotonic
2023-12-10T23:54:54.727267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
168 2
 
6.7%
174 1
 
3.3%
698 1
 
3.3%
146 1
 
3.3%
45 1
 
3.3%
293 1
 
3.3%
240 1
 
3.3%
401 1
 
3.3%
2550 1
 
3.3%
214 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
7 1
3.3%
16 1
3.3%
18 1
3.3%
27 1
3.3%
37 1
3.3%
45 1
3.3%
46 1
3.3%
47 1
3.3%
82 1
3.3%
93 1
3.3%
ValueCountFrequency (%)
2550 1
3.3%
1527 1
3.3%
698 1
3.3%
637 1
3.3%
610 1
3.3%
445 1
3.3%
401 1
3.3%
293 1
3.3%
260 1
3.3%
240 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1476.8667
Minimum528
Maximum4085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:54.919150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum528
5-th percentile556.05
Q1808.25
median1292.5
Q31811.75
95-th percentile3439.85
Maximum4085
Range3557
Interquartile range (IQR)1003.5

Descriptive statistics

Standard deviation924.37158
Coefficient of variation (CV)0.62590049
Kurtosis2.2956018
Mean1476.8667
Median Absolute Deviation (MAD)509.5
Skewness1.4941101
Sum44306
Variance854462.81
MonotonicityNot monotonic
2023-12-10T23:54:55.121343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1144 1
 
3.3%
821 1
 
3.3%
1596 1
 
3.3%
641 1
 
3.3%
1233 1
 
3.3%
4019 1
 
3.3%
1955 1
 
3.3%
583 1
 
3.3%
619 1
 
3.3%
4085 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
528 1
3.3%
534 1
3.3%
583 1
3.3%
619 1
3.3%
634 1
3.3%
641 1
3.3%
703 1
3.3%
804 1
3.3%
821 1
3.3%
826 1
3.3%
ValueCountFrequency (%)
4085 1
3.3%
4019 1
3.3%
2732 1
3.3%
2483 1
3.3%
2189 1
3.3%
2080 1
3.3%
1955 1
3.3%
1823 1
3.3%
1778 1
3.3%
1694 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1469.6333
Minimum184
Maximum3528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:55.276903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184
5-th percentile405.1
Q1911.75
median1165.5
Q32009.75
95-th percentile3345
Maximum3528
Range3344
Interquartile range (IQR)1098

Descriptive statistics

Standard deviation870.69843
Coefficient of variation (CV)0.59245964
Kurtosis0.48940635
Mean1469.6333
Median Absolute Deviation (MAD)449.5
Skewness0.96704849
Sum44089
Variance758115.76
MonotonicityNot monotonic
2023-12-10T23:54:55.484005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
325 1
 
3.3%
1500 1
 
3.3%
2046 1
 
3.3%
1655 1
 
3.3%
3147 1
 
3.3%
920 1
 
3.3%
938 1
 
3.3%
1434 1
 
3.3%
1907 1
 
3.3%
712 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
184 1
3.3%
325 1
3.3%
503 1
3.3%
683 1
3.3%
712 1
3.3%
720 1
3.3%
850 1
3.3%
909 1
3.3%
920 1
3.3%
938 1
3.3%
ValueCountFrequency (%)
3528 1
3.3%
3507 1
3.3%
3147 1
3.3%
2454 1
3.3%
2266 1
3.3%
2185 1
3.3%
2046 1
3.3%
2044 1
3.3%
1907 1
3.3%
1655 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1857.0333
Minimum468
Maximum3096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:55.689284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum468
5-th percentile896.4
Q11487.25
median1848
Q32145.25
95-th percentile2819.3
Maximum3096
Range2628
Interquartile range (IQR)658

Descriptive statistics

Standard deviation623.71951
Coefficient of variation (CV)0.33586878
Kurtosis-0.10083292
Mean1857.0333
Median Absolute Deviation (MAD)355
Skewness0.058522462
Sum55711
Variance389026.03
MonotonicityNot monotonic
2023-12-10T23:54:55.863570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2279 1
 
3.3%
468 1
 
3.3%
3096 1
 
3.3%
1867 1
 
3.3%
1672 1
 
3.3%
1002 1
 
3.3%
1959 1
 
3.3%
1910 1
 
3.3%
1478 1
 
3.3%
2017 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
468 1
3.3%
810 1
3.3%
1002 1
3.3%
1249 1
3.3%
1289 1
3.3%
1323 1
3.3%
1385 1
3.3%
1478 1
3.3%
1515 1
3.3%
1589 1
3.3%
ValueCountFrequency (%)
3096 1
3.3%
2867 1
3.3%
2761 1
3.3%
2739 1
3.3%
2702 1
3.3%
2676 1
3.3%
2279 1
3.3%
2188 1
3.3%
2017 1
3.3%
1997 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1356.4
Minimum386
Maximum2397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:56.014388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386
5-th percentile532
Q1939.75
median1327.5
Q31776
95-th percentile2147.1
Maximum2397
Range2011
Interquartile range (IQR)836.25

Descriptive statistics

Standard deviation539.78077
Coefficient of variation (CV)0.39795103
Kurtosis-0.84518161
Mean1356.4
Median Absolute Deviation (MAD)430.5
Skewness0.073518717
Sum40692
Variance291363.28
MonotonicityNot monotonic
2023-12-10T23:54:56.197637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1776 2
 
6.7%
815 1
 
3.3%
1283 1
 
3.3%
963 1
 
3.3%
1983 1
 
3.3%
1458 1
 
3.3%
1546 1
 
3.3%
1465 1
 
3.3%
976 1
 
3.3%
1261 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
386 1
3.3%
397 1
3.3%
697 1
3.3%
734 1
3.3%
815 1
3.3%
894 1
3.3%
900 1
3.3%
932 1
3.3%
963 1
3.3%
976 1
3.3%
ValueCountFrequency (%)
2397 1
3.3%
2229 1
3.3%
2047 1
3.3%
2027 1
3.3%
1983 1
3.3%
1956 1
3.3%
1928 1
3.3%
1776 2
6.7%
1594 1
3.3%
1548 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1255.2333
Minimum445
Maximum2202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:56.404918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445
5-th percentile480.3
Q1914.25
median1299.5
Q31487.75
95-th percentile2047.1
Maximum2202
Range1757
Interquartile range (IQR)573.5

Descriptive statistics

Standard deviation501.43275
Coefficient of variation (CV)0.39947374
Kurtosis-0.82343431
Mean1255.2333
Median Absolute Deviation (MAD)352.5
Skewness0.057306944
Sum37657
Variance251434.81
MonotonicityNot monotonic
2023-12-10T23:54:56.577831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1174 1
 
3.3%
1488 1
 
3.3%
1360 1
 
3.3%
950 1
 
3.3%
1282 1
 
3.3%
1363 1
 
3.3%
1991 1
 
3.3%
1237 1
 
3.3%
445 1
 
3.3%
1020 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
445 1
3.3%
474 1
3.3%
488 1
3.3%
601 1
3.3%
628 1
3.3%
683 1
3.3%
735 1
3.3%
904 1
3.3%
945 1
3.3%
950 1
3.3%
ValueCountFrequency (%)
2202 1
3.3%
2093 1
3.3%
1991 1
3.3%
1901 1
3.3%
1847 1
3.3%
1846 1
3.3%
1650 1
3.3%
1488 1
3.3%
1487 1
3.3%
1476 1
3.3%

평균근로소득(STAT_H_DONG_010)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492.27333
Minimum279.1
Maximum1213.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:56.735855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum279.1
5-th percentile291.165
Q1333.4
median405.45
Q3539.45
95-th percentile916.185
Maximum1213.5
Range934.4
Interquartile range (IQR)206.05

Descriptive statistics

Standard deviation231.78762
Coefficient of variation (CV)0.47085146
Kurtosis2.2053096
Mean492.27333
Median Absolute Deviation (MAD)92.7
Skewness1.6196428
Sum14768.2
Variance53725.5
MonotonicityNot monotonic
2023-12-10T23:54:56.896956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
326.2 1
 
3.3%
518.4 1
 
3.3%
461.1 1
 
3.3%
377.7 1
 
3.3%
335.8 1
 
3.3%
547.6 1
 
3.3%
655.1 1
 
3.3%
918.3 1
 
3.3%
404.4 1
 
3.3%
374.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
279.1 1
3.3%
284.1 1
3.3%
299.8 1
3.3%
305.2 1
3.3%
312.5 1
3.3%
318.3 1
3.3%
326.2 1
3.3%
332.6 1
3.3%
335.8 1
3.3%
346.9 1
3.3%
ValueCountFrequency (%)
1213.5 1
3.3%
918.3 1
3.3%
913.6 1
3.3%
868.6 1
3.3%
801.7 1
3.3%
655.1 1
3.3%
547.6 1
3.3%
545.5 1
3.3%
521.3 1
3.3%
518.4 1
3.3%

평균사업소득(STAT_H_DONG_011)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.87333
Minimum55.6
Maximum295.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:57.055962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.6
5-th percentile71.72
Q183.45
median104.05
Q3142.5
95-th percentile212.19
Maximum295.9
Range240.3
Interquartile range (IQR)59.05

Descriptive statistics

Standard deviation51.707579
Coefficient of variation (CV)0.43498048
Kurtosis3.7072053
Mean118.87333
Median Absolute Deviation (MAD)25.2
Skewness1.73254
Sum3566.2
Variance2673.6737
MonotonicityNot monotonic
2023-12-10T23:54:57.214322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
84.8 1
 
3.3%
75.3 1
 
3.3%
83.0 1
 
3.3%
101.5 1
 
3.3%
144.0 1
 
3.3%
138.0 1
 
3.3%
75.9 1
 
3.3%
210.1 1
 
3.3%
112.1 1
 
3.3%
95.6 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
55.6 1
3.3%
69.2 1
3.3%
74.8 1
3.3%
75.3 1
3.3%
75.9 1
3.3%
78.3 1
3.3%
80.2 1
3.3%
83.0 1
3.3%
84.8 1
3.3%
85.1 1
3.3%
ValueCountFrequency (%)
295.9 1
3.3%
213.9 1
3.3%
210.1 1
3.3%
166.3 1
3.3%
157.1 1
3.3%
155.0 1
3.3%
149.0 1
3.3%
144.0 1
3.3%
138.0 1
3.3%
128.7 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.16
Minimum43.7
Maximum103.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:57.392462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.7
5-th percentile49.19
Q157.1
median60.45
Q366.025
95-th percentile96.355
Maximum103.4
Range59.7
Interquartile range (IQR)8.925

Descriptive statistics

Standard deviation14.351994
Coefficient of variation (CV)0.22025773
Kurtosis1.3225513
Mean65.16
Median Absolute Deviation (MAD)4.05
Skewness1.3076668
Sum1954.8
Variance205.97972
MonotonicityNot monotonic
2023-12-10T23:54:57.552428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
62.5 2
 
6.7%
75.1 1
 
3.3%
77.6 1
 
3.3%
60.4 1
 
3.3%
57.4 1
 
3.3%
59.9 1
 
3.3%
59.1 1
 
3.3%
53.7 1
 
3.3%
59.8 1
 
3.3%
43.7 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
43.7 1
3.3%
45.5 1
3.3%
53.7 1
3.3%
54.8 1
3.3%
55.0 1
3.3%
55.8 1
3.3%
56.8 1
3.3%
57.0 1
3.3%
57.4 1
3.3%
58.7 1
3.3%
ValueCountFrequency (%)
103.4 1
3.3%
97.3 1
3.3%
95.2 1
3.3%
82.7 1
3.3%
82.2 1
3.3%
77.6 1
3.3%
75.1 1
3.3%
66.4 1
3.3%
64.9 1
3.3%
64.0 1
3.3%

평균총소득(STAT_H_DONG_013)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean561.53
Minimum379.1
Maximum1136.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:57.739991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379.1
5-th percentile397.985
Q1417.8
median492.1
Q3613.95
95-th percentile1053.69
Maximum1136.8
Range757.7
Interquartile range (IQR)196.15

Descriptive statistics

Standard deviation202.00369
Coefficient of variation (CV)0.35973802
Kurtosis2.9453269
Mean561.53
Median Absolute Deviation (MAD)85.85
Skewness1.8129774
Sum16845.9
Variance40805.491
MonotonicityNot monotonic
2023-12-10T23:54:57.893291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
673.8 1
 
3.3%
482.4 1
 
3.3%
528.4 1
 
3.3%
459.0 1
 
3.3%
379.1 1
 
3.3%
408.0 1
 
3.3%
405.7 1
 
3.3%
614.8 1
 
3.3%
660.5 1
 
3.3%
425.3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
379.1 1
3.3%
396.5 1
3.3%
399.8 1
3.3%
403.5 1
3.3%
405.7 1
3.3%
406.8 1
3.3%
408.0 1
3.3%
415.3 1
3.3%
425.3 1
3.3%
434.8 1
3.3%
ValueCountFrequency (%)
1136.8 1
3.3%
1128.3 1
3.3%
962.5 1
3.3%
745.1 1
3.3%
676.8 1
3.3%
673.8 1
3.3%
660.5 1
3.3%
614.8 1
3.3%
611.4 1
3.3%
593.9 1
3.3%

중위근로소득(STAT_H_DONG_014)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.29333
Minimum498.4
Maximum1408.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:58.070051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum498.4
5-th percentile553.95
Q1597.075
median644.25
Q3755.9
95-th percentile1067.32
Maximum1408.8
Range910.4
Interquartile range (IQR)158.825

Descriptive statistics

Standard deviation194.79076
Coefficient of variation (CV)0.27308648
Kurtosis4.843692
Mean713.29333
Median Absolute Deviation (MAD)70.75
Skewness2.0494199
Sum21398.8
Variance37943.441
MonotonicityNot monotonic
2023-12-10T23:54:58.221489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
566.4 1
 
3.3%
708.6 1
 
3.3%
796.7 1
 
3.3%
764.1 1
 
3.3%
624.4 1
 
3.3%
631.5 1
 
3.3%
677.5 1
 
3.3%
657.0 1
 
3.3%
682.8 1
 
3.3%
629.7 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
498.4 1
3.3%
551.7 1
3.3%
556.7 1
3.3%
559.2 1
3.3%
566.4 1
3.3%
573.1 1
3.3%
573.9 1
3.3%
591.6 1
3.3%
613.5 1
3.3%
621.3 1
3.3%
ValueCountFrequency (%)
1408.8 1
3.3%
1113.4 1
3.3%
1011.0 1
3.3%
939.8 1
3.3%
911.3 1
3.3%
796.8 1
3.3%
796.7 1
3.3%
764.1 1
3.3%
731.3 1
3.3%
708.6 1
3.3%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:54:58.721858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:54:58.872641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

중위기타소특(STAT_H_DONG_016)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.433333
Minimum22.2
Maximum150.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:59.009202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.2
5-th percentile50.455
Q164.225
median80.95
Q399.875
95-th percentile140.37
Maximum150.5
Range128.3
Interquartile range (IQR)35.65

Descriptive statistics

Standard deviation30.200757
Coefficient of variation (CV)0.35768761
Kurtosis0.099093829
Mean84.433333
Median Absolute Deviation (MAD)18.65
Skewness0.54579355
Sum2533
Variance912.08575
MonotonicityNot monotonic
2023-12-10T23:54:59.226676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
56.7 1
 
3.3%
61.5 1
 
3.3%
53.7 1
 
3.3%
141.9 1
 
3.3%
135.4 1
 
3.3%
89.9 1
 
3.3%
22.2 1
 
3.3%
138.5 1
 
3.3%
86.9 1
 
3.3%
82.5 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
22.2 1
3.3%
47.8 1
3.3%
53.7 1
3.3%
55.4 1
3.3%
55.9 1
3.3%
56.7 1
3.3%
61.5 1
3.3%
63.1 1
3.3%
67.6 1
3.3%
68.6 1
3.3%
ValueCountFrequency (%)
150.5 1
3.3%
141.9 1
3.3%
138.5 1
3.3%
135.4 1
3.3%
116.1 1
3.3%
110.6 1
3.3%
104.9 1
3.3%
102.3 1
3.3%
92.6 1
3.3%
89.9 1
3.3%

중위총소득(STAT_H_DONG_017)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1057.1367
Minimum619
Maximum2403.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:59.421282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum619
5-th percentile656.735
Q1755.7
median933.35
Q31132.975
95-th percentile2050.685
Maximum2403.1
Range1784.1
Interquartile range (IQR)377.275

Descriptive statistics

Standard deviation445.71374
Coefficient of variation (CV)0.42162357
Kurtosis3.1928306
Mean1057.1367
Median Absolute Deviation (MAD)181.7
Skewness1.8411841
Sum31714.1
Variance198660.74
MonotonicityNot monotonic
2023-12-10T23:54:59.611152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
816.6 1
 
3.3%
1194.5 1
 
3.3%
1028.1 1
 
3.3%
623.3 1
 
3.3%
1363.2 1
 
3.3%
760.2 1
 
3.3%
822.1 1
 
3.3%
1765.4 1
 
3.3%
861.9 1
 
3.3%
887.6 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
619.0 1
3.3%
623.3 1
3.3%
697.6 1
3.3%
703.8 1
3.3%
730.6 1
3.3%
740.9 1
3.3%
749.1 1
3.3%
754.2 1
3.3%
760.2 1
3.3%
816.6 1
3.3%
ValueCountFrequency (%)
2403.1 1
3.3%
2284.1 1
3.3%
1765.4 1
3.3%
1601.0 1
3.3%
1407.8 1
3.3%
1363.2 1
3.3%
1194.5 1
3.3%
1157.7 1
3.3%
1058.8 1
3.3%
1028.1 1
3.3%

1분위소득가구수(STAT_H_DONG_018)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1596.3667
Minimum61
Maximum3236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:59.809648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile564.2
Q11044.75
median1554.5
Q31951
95-th percentile2884.25
Maximum3236
Range3175
Interquartile range (IQR)906.25

Descriptive statistics

Standard deviation798.59301
Coefficient of variation (CV)0.50025663
Kurtosis-0.47431482
Mean1596.3667
Median Absolute Deviation (MAD)478
Skewness0.30946512
Sum47891
Variance637750.79
MonotonicityNot monotonic
2023-12-10T23:54:59.966285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2954 1
 
3.3%
1654 1
 
3.3%
1989 1
 
3.3%
61 1
 
3.3%
1446 1
 
3.3%
1736 1
 
3.3%
1859 1
 
3.3%
1455 1
 
3.3%
2502 1
 
3.3%
1678 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
61 1
3.3%
557 1
3.3%
573 1
3.3%
596 1
3.3%
747 1
3.3%
860 1
3.3%
949 1
3.3%
1042 1
3.3%
1053 1
3.3%
1100 1
3.3%
ValueCountFrequency (%)
3236 1
3.3%
2954 1
3.3%
2799 1
3.3%
2783 1
3.3%
2776 1
3.3%
2502 1
3.3%
1989 1
3.3%
1964 1
3.3%
1912 1
3.3%
1880 1
3.3%

2분위소득가구수(STAT_H_DONG_019)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1559.4333
Minimum199
Maximum3598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.169595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199
5-th percentile461.1
Q1931.75
median1629.5
Q31928.5
95-th percentile2918.45
Maximum3598
Range3399
Interquartile range (IQR)996.75

Descriptive statistics

Standard deviation822.98643
Coefficient of variation (CV)0.52774711
Kurtosis0.021878924
Mean1559.4333
Median Absolute Deviation (MAD)546
Skewness0.43552173
Sum46783
Variance677306.67
MonotonicityNot monotonic
2023-12-10T23:55:00.349901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2159 1
 
3.3%
2666 1
 
3.3%
2142 1
 
3.3%
1921 1
 
3.3%
928 1
 
3.3%
712 1
 
3.3%
1772 1
 
3.3%
1639 1
 
3.3%
1931 1
 
3.3%
453 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
199 1
3.3%
453 1
3.3%
471 1
3.3%
501 1
3.3%
516 1
3.3%
712 1
3.3%
875 1
3.3%
928 1
3.3%
943 1
3.3%
1067 1
3.3%
ValueCountFrequency (%)
3598 1
3.3%
3125 1
3.3%
2666 1
3.3%
2558 1
3.3%
2327 1
3.3%
2159 1
3.3%
2142 1
3.3%
1931 1
3.3%
1921 1
3.3%
1894 1
3.3%

3분위소득가구수(STAT_H_DONG_020)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1572.1667
Minimum143
Maximum2838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.498487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile453.55
Q11121
median1452
Q32101.25
95-th percentile2726.2
Maximum2838
Range2695
Interquartile range (IQR)980.25

Descriptive statistics

Standard deviation707.23118
Coefficient of variation (CV)0.44984491
Kurtosis-0.61660475
Mean1572.1667
Median Absolute Deviation (MAD)510
Skewness-0.0036136686
Sum47165
Variance500175.94
MonotonicityNot monotonic
2023-12-10T23:55:00.664515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1352 1
 
3.3%
2406 1
 
3.3%
1372 1
 
3.3%
1356 1
 
3.3%
2791 1
 
3.3%
2413 1
 
3.3%
143 1
 
3.3%
2157 1
 
3.3%
1968 1
 
3.3%
2647 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
143 1
3.3%
445 1
3.3%
464 1
3.3%
675 1
3.3%
948 1
3.3%
979 1
3.3%
1052 1
3.3%
1097 1
3.3%
1193 1
3.3%
1237 1
3.3%
ValueCountFrequency (%)
2838 1
3.3%
2791 1
3.3%
2647 1
3.3%
2413 1
3.3%
2406 1
3.3%
2254 1
3.3%
2157 1
3.3%
2110 1
3.3%
2075 1
3.3%
2070 1
3.3%

4분위소득가구수(STAT_H_DONG_021)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1651.1
Minimum143
Maximum4127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.857583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile479.6
Q11272
median1582
Q31990.25
95-th percentile2726.35
Maximum4127
Range3984
Interquartile range (IQR)718.25

Descriptive statistics

Standard deviation802.22193
Coefficient of variation (CV)0.48587119
Kurtosis2.043727
Mean1651.1
Median Absolute Deviation (MAD)401.5
Skewness0.75925636
Sum49533
Variance643560.02
MonotonicityNot monotonic
2023-12-10T23:55:00.998235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1384 1
 
3.3%
594 1
 
3.3%
1554 1
 
3.3%
2706 1
 
3.3%
1610 1
 
3.3%
1836 1
 
3.3%
2703 1
 
3.3%
2166 1
 
3.3%
1027 1
 
3.3%
1627 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
143 1
3.3%
386 1
3.3%
594 1
3.3%
605 1
3.3%
937 1
3.3%
1027 1
3.3%
1029 1
3.3%
1262 1
3.3%
1302 1
3.3%
1372 1
3.3%
ValueCountFrequency (%)
4127 1
3.3%
2743 1
3.3%
2706 1
3.3%
2703 1
3.3%
2236 1
3.3%
2166 1
3.3%
2150 1
3.3%
1997 1
3.3%
1970 1
3.3%
1944 1
3.3%

5분위소득가구수(STAT_H_DONG_022)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1352.6333
Minimum231
Maximum4288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.153047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum231
5-th percentile325.85
Q1759.75
median978
Q31603.75
95-th percentile3438.1
Maximum4288
Range4057
Interquartile range (IQR)844

Descriptive statistics

Standard deviation978.51966
Coefficient of variation (CV)0.72341826
Kurtosis2.2174538
Mean1352.6333
Median Absolute Deviation (MAD)348
Skewness1.5821815
Sum40579
Variance957500.72
MonotonicityNot monotonic
2023-12-10T23:55:01.348728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
662 1
 
3.3%
1101 1
 
3.3%
953 1
 
3.3%
969 1
 
3.3%
971 1
 
3.3%
2347 1
 
3.3%
1530 1
 
3.3%
1150 1
 
3.3%
4288 1
 
3.3%
617 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
231 1
3.3%
248 1
3.3%
421 1
3.3%
617 1
3.3%
628 1
3.3%
632 1
3.3%
662 1
3.3%
746 1
3.3%
801 1
3.3%
856 1
3.3%
ValueCountFrequency (%)
4288 1
3.3%
3439 1
3.3%
3437 1
3.3%
2451 1
3.3%
2347 1
3.3%
1979 1
3.3%
1822 1
3.3%
1611 1
3.3%
1582 1
3.3%
1530 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.94
Minimum216.1
Maximum472.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.532718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum216.1
5-th percentile222.34
Q1256.1
median295.55
Q3332.2
95-th percentile369.985
Maximum472.2
Range256.1
Interquartile range (IQR)76.1

Descriptive statistics

Standard deviation56.17858
Coefficient of variation (CV)0.18919169
Kurtosis1.7616074
Mean296.94
Median Absolute Deviation (MAD)41.35
Skewness0.95037327
Sum8908.2
Variance3156.0328
MonotonicityNot monotonic
2023-12-10T23:55:01.704592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
295.9 2
 
6.7%
216.1 1
 
3.3%
295.2 1
 
3.3%
262.4 1
 
3.3%
365.2 1
 
3.3%
231.5 1
 
3.3%
239.9 1
 
3.3%
223.0 1
 
3.3%
472.2 1
 
3.3%
286.1 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
216.1 1
3.3%
221.8 1
3.3%
223.0 1
3.3%
231.5 1
3.3%
239.7 1
3.3%
239.9 1
3.3%
244.1 1
3.3%
254.0 1
3.3%
262.4 1
3.3%
269.3 1
3.3%
ValueCountFrequency (%)
472.2 1
3.3%
373.9 1
3.3%
365.2 1
3.3%
360.0 1
3.3%
355.3 1
3.3%
345.9 1
3.3%
339.1 1
3.3%
336.7 1
3.3%
318.7 1
3.3%
316.4 1
3.3%

30대평균소득(STAT_H_DONG_024)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.49
Minimum390.8
Maximum1081.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.863451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum390.8
5-th percentile401.88
Q1472.9
median569.1
Q3768.125
95-th percentile970.205
Maximum1081.3
Range690.5
Interquartile range (IQR)295.225

Descriptive statistics

Standard deviation191.57952
Coefficient of variation (CV)0.30875521
Kurtosis-0.30566437
Mean620.49
Median Absolute Deviation (MAD)130
Skewness0.79400211
Sum18614.7
Variance36702.712
MonotonicityNot monotonic
2023-12-10T23:55:02.063276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1081.3 1
 
3.3%
796.3 1
 
3.3%
411.0 1
 
3.3%
590.1 1
 
3.3%
507.2 1
 
3.3%
793.5 1
 
3.3%
758.8 1
 
3.3%
986.9 1
 
3.3%
629.4 1
 
3.3%
390.8 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
390.8 1
3.3%
397.2 1
3.3%
407.6 1
3.3%
411.0 1
3.3%
429.3 1
3.3%
448.9 1
3.3%
466.5 1
3.3%
469.5 1
3.3%
483.1 1
3.3%
488.9 1
3.3%
ValueCountFrequency (%)
1081.3 1
3.3%
986.9 1
3.3%
949.8 1
3.3%
853.3 1
3.3%
819.2 1
3.3%
796.3 1
3.3%
793.5 1
3.3%
770.1 1
3.3%
762.2 1
3.3%
758.8 1
3.3%

40대평균소득(STAT_H_DONG_025)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.49667
Minimum463.8
Maximum1586.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:02.269756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum463.8
5-th percentile484.185
Q1610.625
median765.45
Q3974.1
95-th percentile1456.83
Maximum1586.3
Range1122.5
Interquartile range (IQR)363.475

Descriptive statistics

Standard deviation302.93307
Coefficient of variation (CV)0.36128119
Kurtosis0.44680982
Mean838.49667
Median Absolute Deviation (MAD)185.85
Skewness0.97423165
Sum25154.9
Variance91768.446
MonotonicityNot monotonic
2023-12-10T23:55:02.454488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
625.1 1
 
3.3%
970.8 1
 
3.3%
1119.7 1
 
3.3%
767.9 1
 
3.3%
951.6 1
 
3.3%
1211.9 1
 
3.3%
478.2 1
 
3.3%
491.5 1
 
3.3%
1538.1 1
 
3.3%
641.3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
463.8 1
3.3%
478.2 1
3.3%
491.5 1
3.3%
497.8 1
3.3%
536.7 1
3.3%
579.9 1
3.3%
586.8 1
3.3%
605.8 1
3.3%
625.1 1
3.3%
641.3 1
3.3%
ValueCountFrequency (%)
1586.3 1
3.3%
1538.1 1
3.3%
1357.5 1
3.3%
1211.9 1
3.3%
1153.4 1
3.3%
1119.7 1
3.3%
986.5 1
3.3%
975.2 1
3.3%
970.8 1
3.3%
951.6 1
3.3%

50대평균소득(STAT_H_DONG_026)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean758.66667
Minimum441.5
Maximum1241.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:02.626848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441.5
5-th percentile490.815
Q1639.9
median719.8
Q3797.25
95-th percentile1183.545
Maximum1241.7
Range800.2
Interquartile range (IQR)157.35

Descriptive statistics

Standard deviation221.58229
Coefficient of variation (CV)0.29206805
Kurtosis0.14065039
Mean758.66667
Median Absolute Deviation (MAD)82.45
Skewness0.94124693
Sum22760
Variance49098.713
MonotonicityNot monotonic
2023-12-10T23:55:02.798053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
745.6 1
 
3.3%
1241.7 1
 
3.3%
790.2 1
 
3.3%
576.5 1
 
3.3%
874.4 1
 
3.3%
885.0 1
 
3.3%
634.7 1
 
3.3%
505.5 1
 
3.3%
524.7 1
 
3.3%
1162.7 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
441.5 1
3.3%
478.8 1
3.3%
505.5 1
3.3%
521.0 1
3.3%
524.7 1
3.3%
576.5 1
3.3%
580.0 1
3.3%
634.7 1
3.3%
655.5 1
3.3%
665.3 1
3.3%
ValueCountFrequency (%)
1241.7 1
3.3%
1200.6 1
3.3%
1162.7 1
3.3%
1160.7 1
3.3%
1146.1 1
3.3%
885.0 1
3.3%
874.4 1
3.3%
799.6 1
3.3%
790.2 1
3.3%
772.5 1
3.3%

60대평균소득(STAT_H_DONG_027)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean589.05
Minimum349.4
Maximum1459.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:02.995151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum349.4
5-th percentile364.885
Q1457.65
median513.8
Q3685.525
95-th percentile887.48
Maximum1459.4
Range1110
Interquartile range (IQR)227.875

Descriptive statistics

Standard deviation228.58578
Coefficient of variation (CV)0.38805837
Kurtosis6.2032071
Mean589.05
Median Absolute Deviation (MAD)117.6
Skewness2.0839376
Sum17671.5
Variance52251.459
MonotonicityNot monotonic
2023-12-10T23:55:03.173471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
526.4 1
 
3.3%
365.6 1
 
3.3%
774.8 1
 
3.3%
569.5 1
 
3.3%
872.2 1
 
3.3%
560.1 1
 
3.3%
768.1 1
 
3.3%
890.9 1
 
3.3%
499.5 1
 
3.3%
698.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
349.4 1
3.3%
364.3 1
3.3%
365.6 1
3.3%
377.6 1
3.3%
378.1 1
3.3%
388.4 1
3.3%
440.5 1
3.3%
455.3 1
3.3%
464.7 1
3.3%
480.5 1
3.3%
ValueCountFrequency (%)
1459.4 1
3.3%
890.9 1
3.3%
883.3 1
3.3%
872.2 1
3.3%
774.8 1
3.3%
768.1 1
3.3%
698.0 1
3.3%
695.6 1
3.3%
655.3 1
3.3%
623.6 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.87667
Minimum262.4
Maximum885.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.340516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum262.4
5-th percentile305.16
Q1350.65
median401.15
Q3472.55
95-th percentile590.935
Maximum885.7
Range623.3
Interquartile range (IQR)121.9

Descriptive statistics

Standard deviation120.01928
Coefficient of variation (CV)0.2804997
Kurtosis6.4381128
Mean427.87667
Median Absolute Deviation (MAD)69.3
Skewness2.0093527
Sum12836.3
Variance14404.627
MonotonicityNot monotonic
2023-12-10T23:55:03.511730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
311.1 1
 
3.3%
436.5 1
 
3.3%
460.4 1
 
3.3%
400.6 1
 
3.3%
632.2 1
 
3.3%
540.5 1
 
3.3%
362.8 1
 
3.3%
388.3 1
 
3.3%
400.5 1
 
3.3%
262.4 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
262.4 1
3.3%
300.3 1
3.3%
311.1 1
3.3%
314.5 1
3.3%
319.4 1
3.3%
328.4 1
3.3%
332.6 1
3.3%
349.5 1
3.3%
354.1 1
3.3%
362.8 1
3.3%
ValueCountFrequency (%)
885.7 1
3.3%
632.2 1
3.3%
540.5 1
3.3%
538.7 1
3.3%
499.1 1
3.3%
481.1 1
3.3%
473.3 1
3.3%
473.0 1
3.3%
471.2 1
3.3%
466.5 1
3.3%

1인가구수(STAT_H_DONG_029)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2359.4333
Minimum551
Maximum7219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.664928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum551
5-th percentile721.15
Q11316.5
median2092.5
Q32802.25
95-th percentile4443
Maximum7219
Range6668
Interquartile range (IQR)1485.75

Descriptive statistics

Standard deviation1452.7658
Coefficient of variation (CV)0.61572656
Kurtosis2.8889807
Mean2359.4333
Median Absolute Deviation (MAD)763
Skewness1.4283724
Sum70783
Variance2110528.4
MonotonicityNot monotonic
2023-12-10T23:55:03.811196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4322 1
 
3.3%
2568 1
 
3.3%
4063 1
 
3.3%
2736 1
 
3.3%
551 1
 
3.3%
1637 1
 
3.3%
4542 1
 
3.3%
7219 1
 
3.3%
3866 1
 
3.3%
3626 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
551 1
3.3%
592 1
3.3%
879 1
3.3%
1064 1
3.3%
1066 1
3.3%
1092 1
3.3%
1147 1
3.3%
1285 1
3.3%
1411 1
3.3%
1425 1
3.3%
ValueCountFrequency (%)
7219 1
3.3%
4542 1
3.3%
4322 1
3.3%
4063 1
3.3%
3866 1
3.3%
3669 1
3.3%
3626 1
3.3%
2811 1
3.3%
2776 1
3.3%
2736 1
3.3%

2인가구수(STAT_H_DONG_030)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2070.3333
Minimum334
Maximum3573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.949409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334
5-th percentile920
Q11602.75
median2219
Q32527
95-th percentile2971.5
Maximum3573
Range3239
Interquartile range (IQR)924.25

Descriptive statistics

Standard deviation739.16702
Coefficient of variation (CV)0.35702802
Kurtosis-0.08314572
Mean2070.3333
Median Absolute Deviation (MAD)544
Skewness-0.35725031
Sum62110
Variance546367.89
MonotonicityNot monotonic
2023-12-10T23:55:04.090081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2333 1
 
3.3%
2058 1
 
3.3%
2585 1
 
3.3%
334 1
 
3.3%
1486 1
 
3.3%
1691 1
 
3.3%
2128 1
 
3.3%
2930 1
 
3.3%
3573 1
 
3.3%
1041 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
334 1
3.3%
821 1
3.3%
1041 1
3.3%
1080 1
3.3%
1095 1
3.3%
1451 1
3.3%
1486 1
3.3%
1584 1
3.3%
1659 1
3.3%
1691 1
3.3%
ValueCountFrequency (%)
3573 1
3.3%
2994 1
3.3%
2944 1
3.3%
2930 1
3.3%
2897 1
3.3%
2877 1
3.3%
2585 1
3.3%
2569 1
3.3%
2401 1
3.3%
2371 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1839.8667
Minimum913
Maximum3278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.254852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum913
5-th percentile1038.8
Q11507
median1833.5
Q32086.5
95-th percentile2930.55
Maximum3278
Range2365
Interquartile range (IQR)579.5

Descriptive statistics

Standard deviation556.92925
Coefficient of variation (CV)0.30270087
Kurtosis0.88091478
Mean1839.8667
Median Absolute Deviation (MAD)302
Skewness0.73282912
Sum55196
Variance310170.19
MonotonicityNot monotonic
2023-12-10T23:55:04.402196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1862 2
 
6.7%
1805 1
 
3.3%
1988 1
 
3.3%
1389 1
 
3.3%
2102 1
 
3.3%
1715 1
 
3.3%
1649 1
 
3.3%
913 1
 
3.3%
2328 1
 
3.3%
1869 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
913 1
3.3%
1037 1
3.3%
1041 1
3.3%
1211 1
3.3%
1242 1
3.3%
1311 1
3.3%
1389 1
3.3%
1480 1
3.3%
1588 1
3.3%
1649 1
3.3%
ValueCountFrequency (%)
3278 1
3.3%
3102 1
3.3%
2721 1
3.3%
2351 1
3.3%
2328 1
3.3%
2201 1
3.3%
2169 1
3.3%
2102 1
3.3%
2040 1
3.3%
1988 1
3.3%

4인가구수(STAT_H_DONG_032)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1117.1333
Minimum107
Maximum3077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.571164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile117.9
Q1654
median902
Q31554.25
95-th percentile2542.3
Maximum3077
Range2970
Interquartile range (IQR)900.25

Descriptive statistics

Standard deviation772.21646
Coefficient of variation (CV)0.69124825
Kurtosis0.23755113
Mean1117.1333
Median Absolute Deviation (MAD)533
Skewness0.834005
Sum33514
Variance596318.26
MonotonicityNot monotonic
2023-12-10T23:55:04.752104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1177 1
 
3.3%
2197 1
 
3.3%
1805 1
 
3.3%
1607 1
 
3.3%
773 1
 
3.3%
732 1
 
3.3%
263 1
 
3.3%
117 1
 
3.3%
959 1
 
3.3%
2385 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
107 1
3.3%
117 1
3.3%
119 1
3.3%
238 1
3.3%
263 1
3.3%
373 1
3.3%
613 1
3.3%
642 1
3.3%
690 1
3.3%
732 1
3.3%
ValueCountFrequency (%)
3077 1
3.3%
2671 1
3.3%
2385 1
3.3%
2197 1
3.3%
1905 1
3.3%
1805 1
3.3%
1607 1
3.3%
1586 1
3.3%
1459 1
3.3%
1439 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.1
Minimum24
Maximum877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.930905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile63.05
Q189.75
median186.5
Q3397
95-th percentile751.75
Maximum877
Range853
Interquartile range (IQR)307.25

Descriptive statistics

Standard deviation242.12698
Coefficient of variation (CV)0.88984556
Kurtosis0.34973944
Mean272.1
Median Absolute Deviation (MAD)103.5
Skewness1.1957924
Sum8163
Variance58625.472
MonotonicityNot monotonic
2023-12-10T23:55:05.090862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83 2
 
6.7%
100 2
 
6.7%
89 1
 
3.3%
237 1
 
3.3%
212 1
 
3.3%
218 1
 
3.3%
105 1
 
3.3%
81 1
 
3.3%
228 1
 
3.3%
92 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
24 1
3.3%
59 1
3.3%
68 1
3.3%
81 1
3.3%
83 2
6.7%
84 1
3.3%
89 1
3.3%
92 1
3.3%
93 1
3.3%
100 2
6.7%
ValueCountFrequency (%)
877 1
3.3%
781 1
3.3%
716 1
3.3%
668 1
3.3%
614 1
3.3%
440 1
3.3%
434 1
3.3%
402 1
3.3%
382 1
3.3%
358 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.87667
Minimum132.9
Maximum329.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:05.243150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132.9
5-th percentile149.205
Q1186.6
median202.9
Q3232.875
95-th percentile302.63
Maximum329.9
Range197
Interquartile range (IQR)46.275

Descriptive statistics

Standard deviation46.899707
Coefficient of variation (CV)0.22031399
Kurtosis0.562649
Mean212.87667
Median Absolute Deviation (MAD)17.55
Skewness0.77388145
Sum6386.3
Variance2199.5825
MonotonicityNot monotonic
2023-12-10T23:55:05.789479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
316.4 1
 
3.3%
194.9 1
 
3.3%
217.7 1
 
3.3%
187.2 1
 
3.3%
218.7 1
 
3.3%
270.1 1
 
3.3%
172.1 1
 
3.3%
217.6 1
 
3.3%
208.2 1
 
3.3%
147.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
132.9 1
3.3%
147.0 1
3.3%
151.9 1
3.3%
154.9 1
3.3%
172.1 1
3.3%
182.6 1
3.3%
184.3 1
3.3%
186.4 1
3.3%
187.2 1
3.3%
190.8 1
3.3%
ValueCountFrequency (%)
329.9 1
3.3%
316.4 1
3.3%
285.8 1
3.3%
270.1 1
3.3%
266.4 1
3.3%
253.4 1
3.3%
247.8 1
3.3%
237.6 1
3.3%
218.7 1
3.3%
217.8 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.753333
Minimum24
Maximum154.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:05.974932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile29.605
Q142.85
median52.25
Q362.475
95-th percentile110.055
Maximum154.5
Range130.5
Interquartile range (IQR)19.625

Descriptive statistics

Standard deviation28.03388
Coefficient of variation (CV)0.47714536
Kurtosis3.9940738
Mean58.753333
Median Absolute Deviation (MAD)9.85
Skewness1.8532202
Sum1762.6
Variance785.89844
MonotonicityNot monotonic
2023-12-10T23:55:06.158844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
45.7 1
 
3.3%
39.0 1
 
3.3%
42.5 1
 
3.3%
50.2 1
 
3.3%
33.0 1
 
3.3%
29.2 1
 
3.3%
119.1 1
 
3.3%
154.5 1
 
3.3%
56.5 1
 
3.3%
56.3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
24.0 1
3.3%
29.2 1
3.3%
30.1 1
3.3%
33.0 1
3.3%
39.0 1
3.3%
39.9 1
3.3%
42.3 1
3.3%
42.5 1
3.3%
43.9 1
3.3%
44.8 1
3.3%
ValueCountFrequency (%)
154.5 1
3.3%
119.1 1
3.3%
99.0 1
3.3%
93.7 1
3.3%
93.3 1
3.3%
67.3 1
3.3%
65.7 1
3.3%
63.6 1
3.3%
59.1 1
3.3%
57.5 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.316667
Minimum30
Maximum57.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:06.333000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile35.415
Q138.625
median41.6
Q345.275
95-th percentile51.075
Maximum57.6
Range27.6
Interquartile range (IQR)6.65

Descriptive statistics

Standard deviation5.7127253
Coefficient of variation (CV)0.13499942
Kurtosis0.70590238
Mean42.316667
Median Absolute Deviation (MAD)3.55
Skewness0.50758468
Sum1269.5
Variance32.63523
MonotonicityNot monotonic
2023-12-10T23:55:06.518615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
42.0 2
 
6.7%
40.6 2
 
6.7%
37.7 1
 
3.3%
44.7 1
 
3.3%
38.9 1
 
3.3%
38.7 1
 
3.3%
35.8 1
 
3.3%
37.0 1
 
3.3%
37.6 1
 
3.3%
47.8 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
30.0 1
3.3%
35.1 1
3.3%
35.8 1
3.3%
37.0 1
3.3%
37.5 1
3.3%
37.6 1
3.3%
37.7 1
3.3%
38.6 1
3.3%
38.7 1
3.3%
38.9 1
3.3%
ValueCountFrequency (%)
57.6 1
3.3%
51.3 1
3.3%
50.8 1
3.3%
49.4 1
3.3%
47.8 1
3.3%
47.5 1
3.3%
47.0 1
3.3%
45.4 1
3.3%
44.9 1
3.3%
44.7 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315.27
Minimum212.2
Maximum563.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:06.696129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum212.2
5-th percentile239.63
Q1269.525
median290.65
Q3319.2
95-th percentile472.425
Maximum563.8
Range351.6
Interquartile range (IQR)49.675

Descriptive statistics

Standard deviation80.229641
Coefficient of variation (CV)0.25447915
Kurtosis2.4372974
Mean315.27
Median Absolute Deviation (MAD)25.9
Skewness1.6406391
Sum9458.1
Variance6436.7953
MonotonicityNot monotonic
2023-12-10T23:55:06.878677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
443.9 1
 
3.3%
268.1 1
 
3.3%
339.6 1
 
3.3%
274.0 1
 
3.3%
301.1 1
 
3.3%
276.1 1
 
3.3%
308.6 1
 
3.3%
275.0 1
 
3.3%
316.0 1
 
3.3%
319.9 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
212.2 1
3.3%
233.6 1
3.3%
247.0 1
3.3%
252.8 1
3.3%
254.7 1
3.3%
257.2 1
3.3%
268.1 1
3.3%
269.2 1
3.3%
270.5 1
3.3%
274.0 1
3.3%
ValueCountFrequency (%)
563.8 1
3.3%
479.4 1
3.3%
463.9 1
3.3%
443.9 1
3.3%
413.2 1
3.3%
345.2 1
3.3%
339.6 1
3.3%
319.9 1
3.3%
317.1 1
3.3%
316.0 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.87667
Minimum254.4
Maximum650.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:07.039791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum254.4
5-th percentile278.335
Q1312.65
median353.25
Q3402.325
95-th percentile546.68
Maximum650.4
Range396
Interquartile range (IQR)89.675

Descriptive statistics

Standard deviation90.884753
Coefficient of variation (CV)0.24505385
Kurtosis2.9714421
Mean370.87667
Median Absolute Deviation (MAD)44.45
Skewness1.5859608
Sum11126.3
Variance8260.0384
MonotonicityNot monotonic
2023-12-10T23:55:07.203043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
358.3 1
 
3.3%
282.9 1
 
3.3%
418.7 1
 
3.3%
368.9 1
 
3.3%
650.4 1
 
3.3%
314.0 1
 
3.3%
348.2 1
 
3.3%
291.6 1
 
3.3%
454.5 1
 
3.3%
316.5 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
254.4 1
3.3%
274.6 1
3.3%
282.9 1
3.3%
283.6 1
3.3%
285.5 1
3.3%
291.6 1
3.3%
312.0 1
3.3%
312.2 1
3.3%
314.0 1
3.3%
316.5 1
3.3%
ValueCountFrequency (%)
650.4 1
3.3%
610.4 1
3.3%
468.8 1
3.3%
454.5 1
3.3%
450.9 1
3.3%
443.5 1
3.3%
418.7 1
3.3%
402.8 1
3.3%
400.9 1
3.3%
379.6 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.78333
Minimum69.1
Maximum230.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:07.401101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.1
5-th percentile70.265
Q182.05
median93.95
Q3127.375
95-th percentile189.495
Maximum230.7
Range161.6
Interquartile range (IQR)45.325

Descriptive statistics

Standard deviation39.864954
Coefficient of variation (CV)0.36646196
Kurtosis2.9641882
Mean108.78333
Median Absolute Deviation (MAD)15.95
Skewness1.6915333
Sum3263.5
Variance1589.2145
MonotonicityNot monotonic
2023-12-10T23:55:07.586290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
86.8 1
 
3.3%
121.2 1
 
3.3%
77.6 1
 
3.3%
82.8 1
 
3.3%
93.4 1
 
3.3%
78.4 1
 
3.3%
71.2 1
 
3.3%
99.5 1
 
3.3%
83.2 1
 
3.3%
130.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
69.1 1
3.3%
69.5 1
3.3%
71.2 1
3.3%
77.6 1
3.3%
78.4 1
3.3%
79.7 1
3.3%
79.8 1
3.3%
81.8 1
3.3%
82.8 1
3.3%
83.2 1
3.3%
ValueCountFrequency (%)
230.7 1
3.3%
216.0 1
3.3%
157.1 1
3.3%
143.3 1
3.3%
141.9 1
3.3%
140.5 1
3.3%
130.1 1
3.3%
128.5 1
3.3%
124.0 1
3.3%
121.2 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.816667
Minimum63.6
Maximum97.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:07.759981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.6
5-th percentile64.825
Q169.525
median71.95
Q376.8
95-th percentile87.425
Maximum97.8
Range34.2
Interquartile range (IQR)7.275

Descriptive statistics

Standard deviation7.7617134
Coefficient of variation (CV)0.10514852
Kurtosis1.9319504
Mean73.816667
Median Absolute Deviation (MAD)4.15
Skewness1.2883583
Sum2214.5
Variance60.244195
MonotonicityNot monotonic
2023-12-10T23:55:07.921444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
72.7 2
 
6.7%
72.1 2
 
6.7%
70.7 2
 
6.7%
82.6 1
 
3.3%
73.8 1
 
3.3%
69.3 1
 
3.3%
76.5 1
 
3.3%
77.6 1
 
3.3%
68.3 1
 
3.3%
66.6 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
63.6 1
3.3%
64.6 1
3.3%
65.1 1
3.3%
65.7 1
3.3%
66.1 1
3.3%
66.6 1
3.3%
68.3 1
3.3%
69.3 1
3.3%
70.2 1
3.3%
70.4 1
3.3%
ValueCountFrequency (%)
97.8 1
3.3%
88.1 1
3.3%
86.6 1
3.3%
82.8 1
3.3%
82.6 1
3.3%
80.8 1
3.3%
77.6 1
3.3%
76.9 1
3.3%
76.5 1
3.3%
75.7 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean556.92333
Minimum393.3
Maximum908.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.114722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum393.3
5-th percentile411.955
Q1479.05
median523.3
Q3638
95-th percentile754.17
Maximum908.8
Range515.5
Interquartile range (IQR)158.95

Descriptive statistics

Standard deviation122.67446
Coefficient of variation (CV)0.22027172
Kurtosis0.81609676
Mean556.92333
Median Absolute Deviation (MAD)87.15
Skewness0.95372486
Sum16707.7
Variance15049.024
MonotonicityNot monotonic
2023-12-10T23:55:08.280248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
587.1 1
 
3.3%
486.4 1
 
3.3%
496.9 1
 
3.3%
635.3 1
 
3.3%
393.3 1
 
3.3%
752.3 1
 
3.3%
435.3 1
 
3.3%
421.0 1
 
3.3%
476.6 1
 
3.3%
536.6 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
393.3 1
3.3%
411.1 1
3.3%
413.0 1
3.3%
421.0 1
3.3%
435.3 1
3.3%
435.4 1
3.3%
436.9 1
3.3%
476.6 1
3.3%
486.4 1
3.3%
491.2 1
3.3%
ValueCountFrequency (%)
908.8 1
3.3%
755.7 1
3.3%
752.3 1
3.3%
716.5 1
3.3%
673.3 1
3.3%
661.1 1
3.3%
654.7 1
3.3%
638.9 1
3.3%
635.3 1
3.3%
593.2 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean517.22
Minimum271.4
Maximum1056.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.481511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271.4
5-th percentile379.33
Q1435.2
median502
Q3545.025
95-th percentile731.735
Maximum1056.7
Range785.3
Interquartile range (IQR)109.825

Descriptive statistics

Standard deviation141.71183
Coefficient of variation (CV)0.27398753
Kurtosis6.732946
Mean517.22
Median Absolute Deviation (MAD)57.25
Skewness2.0472326
Sum15516.6
Variance20082.242
MonotonicityNot monotonic
2023-12-10T23:55:08.699253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
547.9 1
 
3.3%
535.1 1
 
3.3%
425.8 1
 
3.3%
518.2 1
 
3.3%
609.4 1
 
3.3%
548.5 1
 
3.3%
667.0 1
 
3.3%
417.3 1
 
3.3%
1056.7 1
 
3.3%
511.8 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
271.4 1
3.3%
358.9 1
3.3%
404.3 1
3.3%
413.2 1
3.3%
417.3 1
3.3%
425.8 1
3.3%
426.0 1
3.3%
433.0 1
3.3%
441.8 1
3.3%
447.7 1
3.3%
ValueCountFrequency (%)
1056.7 1
3.3%
784.7 1
3.3%
667.0 1
3.3%
659.1 1
3.3%
609.4 1
3.3%
574.6 1
3.3%
548.5 1
3.3%
547.9 1
3.3%
536.4 1
3.3%
535.1 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.26
Minimum94.5
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.891344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.5
5-th percentile102.63
Q1116.15
median142.35
Q3217.65
95-th percentile315.365
Maximum341
Range246.5
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation72.905426
Coefficient of variation (CV)0.41837155
Kurtosis-0.23806
Mean174.26
Median Absolute Deviation (MAD)36.35
Skewness0.94684068
Sum5227.8
Variance5315.2011
MonotonicityNot monotonic
2023-12-10T23:55:09.065807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
145.0 2
 
6.7%
115.6 1
 
3.3%
125.6 1
 
3.3%
222.8 1
 
3.3%
341.0 1
 
3.3%
280.2 1
 
3.3%
218.4 1
 
3.3%
112.4 1
 
3.3%
269.9 1
 
3.3%
201.3 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
94.5 1
3.3%
102.0 1
3.3%
103.4 1
3.3%
108.6 1
3.3%
112.4 1
3.3%
112.5 1
3.3%
113.5 1
3.3%
115.6 1
3.3%
117.8 1
3.3%
123.7 1
3.3%
ValueCountFrequency (%)
341.0 1
3.3%
332.6 1
3.3%
294.3 1
3.3%
280.2 1
3.3%
269.9 1
3.3%
247.8 1
3.3%
222.8 1
3.3%
218.4 1
3.3%
215.4 1
3.3%
202.0 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.186667
Minimum60
Maximum105.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.231555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile62.48
Q167.05
median70.95
Q381.925
95-th percentile90.62
Maximum105.7
Range45.7
Interquartile range (IQR)14.875

Descriptive statistics

Standard deviation10.377819
Coefficient of variation (CV)0.13988793
Kurtosis1.4656594
Mean74.186667
Median Absolute Deviation (MAD)5.3
Skewness1.1893417
Sum2225.6
Variance107.69913
MonotonicityNot monotonic
2023-12-10T23:55:09.391923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
69.0 2
 
6.7%
65.0 2
 
6.7%
82.7 2
 
6.7%
70.7 1
 
3.3%
66.0 1
 
3.3%
65.9 1
 
3.3%
69.9 1
 
3.3%
71.4 1
 
3.3%
87.0 1
 
3.3%
79.6 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
60.0 1
3.3%
61.4 1
3.3%
63.8 1
3.3%
65.0 2
6.7%
65.9 1
3.3%
66.0 1
3.3%
66.9 1
3.3%
67.5 1
3.3%
68.2 1
3.3%
69.0 2
6.7%
ValueCountFrequency (%)
105.7 1
3.3%
92.6 1
3.3%
88.2 1
3.3%
87.0 1
3.3%
84.9 1
3.3%
84.5 1
3.3%
82.7 2
6.7%
79.6 1
3.3%
76.5 1
3.3%
74.0 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean878.25667
Minimum605.6
Maximum2020.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.550633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum605.6
5-th percentile669.12
Q1724.8
median774.8
Q3902.75
95-th percentile1549.295
Maximum2020.1
Range1414.5
Interquartile range (IQR)177.95

Descriptive statistics

Standard deviation305.75708
Coefficient of variation (CV)0.34814092
Kurtosis7.0708117
Mean878.25667
Median Absolute Deviation (MAD)70.25
Skewness2.6148528
Sum26347.7
Variance93487.393
MonotonicityNot monotonic
2023-12-10T23:55:09.726678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
911.9 1
 
3.3%
912.8 1
 
3.3%
782.4 1
 
3.3%
605.6 1
 
3.3%
651.3 1
 
3.3%
716.6 1
 
3.3%
984.9 1
 
3.3%
2020.1 1
 
3.3%
729.9 1
 
3.3%
732.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
605.6 1
3.3%
651.3 1
3.3%
690.9 1
3.3%
695.7 1
3.3%
698.2 1
3.3%
710.9 1
3.3%
716.6 1
3.3%
723.8 1
3.3%
727.8 1
3.3%
729.9 1
3.3%
ValueCountFrequency (%)
2020.1 1
3.3%
1630.7 1
3.3%
1449.8 1
3.3%
1037.4 1
3.3%
984.9 1
3.3%
960.8 1
3.3%
912.8 1
3.3%
911.9 1
3.3%
875.3 1
3.3%
872.4 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.69667
Minimum503.6
Maximum1357.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.883744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum503.6
5-th percentile540.44
Q1619.575
median692.95
Q3840.375
95-th percentile1088
Maximum1357.8
Range854.2
Interquartile range (IQR)220.8

Descriptive statistics

Standard deviation201.25932
Coefficient of variation (CV)0.26387859
Kurtosis1.2138656
Mean762.69667
Median Absolute Deviation (MAD)101.2
Skewness1.2071401
Sum22880.9
Variance40505.314
MonotonicityNot monotonic
2023-12-10T23:55:10.047994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
833.4 2
 
6.7%
631.2 1
 
3.3%
985.9 1
 
3.3%
675.0 1
 
3.3%
719.8 1
 
3.3%
695.7 1
 
3.3%
816.9 1
 
3.3%
713.6 1
 
3.3%
1041.3 1
 
3.3%
1092.5 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
503.6 1
3.3%
524.6 1
3.3%
559.8 1
3.3%
591.2 1
3.3%
592.3 1
3.3%
593.0 1
3.3%
606.4 1
3.3%
615.7 1
3.3%
631.2 1
3.3%
639.6 1
3.3%
ValueCountFrequency (%)
1357.8 1
3.3%
1092.5 1
3.3%
1082.5 1
3.3%
1041.3 1
3.3%
1038.4 1
3.3%
985.9 1
3.3%
858.8 1
3.3%
842.7 1
3.3%
833.4 2
6.7%
816.9 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.61333
Minimum104.6
Maximum421.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.181922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.6
5-th percentile132.855
Q1146.425
median166.75
Q3184.425
95-th percentile377.98
Maximum421.3
Range316.7
Interquartile range (IQR)38

Descriptive statistics

Standard deviation74.193116
Coefficient of variation (CV)0.40188384
Kurtosis5.9897844
Mean184.61333
Median Absolute Deviation (MAD)19.85
Skewness2.5107143
Sum5538.4
Variance5504.6184
MonotonicityNot monotonic
2023-12-10T23:55:10.317776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
419.2 1
 
3.3%
168.1 1
 
3.3%
152.1 1
 
3.3%
197.7 1
 
3.3%
149.8 1
 
3.3%
141.8 1
 
3.3%
199.3 1
 
3.3%
188.3 1
 
3.3%
168.0 1
 
3.3%
171.5 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
104.6 1
3.3%
130.2 1
3.3%
136.1 1
3.3%
138.4 1
3.3%
138.5 1
3.3%
141.8 1
3.3%
143.3 1
3.3%
145.3 1
3.3%
149.8 1
3.3%
152.1 1
3.3%
ValueCountFrequency (%)
421.3 1
3.3%
419.2 1
3.3%
327.6 1
3.3%
206.2 1
3.3%
199.3 1
3.3%
197.7 1
3.3%
188.3 1
3.3%
185.0 1
3.3%
182.7 1
3.3%
172.4 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.41
Minimum62.4
Maximum139.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.466233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.4
5-th percentile64.27
Q168.15
median72.9
Q395.9
95-th percentile107.71
Maximum139.6
Range77.2
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation18.356665
Coefficient of variation (CV)0.22548415
Kurtosis1.8321041
Mean81.41
Median Absolute Deviation (MAD)8.1
Skewness1.3619794
Sum2442.3
Variance336.96714
MonotonicityNot monotonic
2023-12-10T23:55:10.659356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
72.9 2
 
6.7%
96.5 1
 
3.3%
82.8 1
 
3.3%
99.8 1
 
3.3%
101.0 1
 
3.3%
62.4 1
 
3.3%
72.5 1
 
3.3%
107.8 1
 
3.3%
100.9 1
 
3.3%
78.3 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
62.4 1
3.3%
64.0 1
3.3%
64.6 1
3.3%
64.9 1
3.3%
65.8 1
3.3%
66.6 1
3.3%
66.7 1
3.3%
68.1 1
3.3%
68.3 1
3.3%
69.3 1
3.3%
ValueCountFrequency (%)
139.6 1
3.3%
107.8 1
3.3%
107.6 1
3.3%
104.1 1
3.3%
101.0 1
3.3%
100.9 1
3.3%
99.8 1
3.3%
96.5 1
3.3%
94.1 1
3.3%
82.8 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950.75667
Minimum671
Maximum1578.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.856378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum671
5-th percentile680.765
Q1740.375
median864.7
Q31057.175
95-th percentile1490.135
Maximum1578.6
Range907.6
Interquartile range (IQR)316.8

Descriptive statistics

Standard deviation263.5858
Coefficient of variation (CV)0.27723791
Kurtosis0.27018494
Mean950.75667
Median Absolute Deviation (MAD)136.4
Skewness1.1071549
Sum28522.7
Variance69477.472
MonotonicityNot monotonic
2023-12-10T23:55:11.011031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
910.7 1
 
3.3%
1504.4 1
 
3.3%
766.0 1
 
3.3%
721.2 1
 
3.3%
842.0 1
 
3.3%
671.0 1
 
3.3%
1011.8 1
 
3.3%
1001.4 1
 
3.3%
793.1 1
 
3.3%
1085.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
671.0 1
3.3%
679.1 1
3.3%
682.8 1
3.3%
705.3 1
3.3%
721.2 1
3.3%
728.6 1
3.3%
732.8 1
3.3%
734.1 1
3.3%
759.2 1
3.3%
766.0 1
3.3%
ValueCountFrequency (%)
1578.6 1
3.3%
1504.4 1
3.3%
1472.7 1
3.3%
1372.4 1
3.3%
1322.5 1
3.3%
1128.7 1
3.3%
1085.1 1
3.3%
1072.3 1
3.3%
1011.8 1
3.3%
1001.4 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819.67
Minimum466.7
Maximum1504.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:11.173182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum466.7
5-th percentile500.99
Q1680.775
median789.85
Q3920.975
95-th percentile1242.71
Maximum1504.8
Range1038.1
Interquartile range (IQR)240.2

Descriptive statistics

Standard deviation230.8725
Coefficient of variation (CV)0.28166518
Kurtosis2.3155755
Mean819.67
Median Absolute Deviation (MAD)125
Skewness1.1868227
Sum24590.1
Variance53302.109
MonotonicityNot monotonic
2023-12-10T23:55:11.334498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
987.1 1
 
3.3%
1060.0 1
 
3.3%
791.7 1
 
3.3%
763.3 1
 
3.3%
1504.8 1
 
3.3%
810.5 1
 
3.3%
893.9 1
 
3.3%
724.0 1
 
3.3%
477.5 1
 
3.3%
680.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
466.7 1
3.3%
477.5 1
3.3%
529.7 1
3.3%
589.9 1
3.3%
604.3 1
3.3%
642.5 1
3.3%
643.3 1
3.3%
680.0 1
3.3%
683.1 1
3.3%
724.0 1
3.3%
ValueCountFrequency (%)
1504.8 1
3.3%
1392.2 1
3.3%
1060.0 1
3.3%
997.4 1
3.3%
987.1 1
3.3%
987.0 1
3.3%
977.9 1
3.3%
930.0 1
3.3%
893.9 1
3.3%
887.8 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.42
Minimum80
Maximum648.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:11.516660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile154.33
Q1199.325
median233.15
Q3312.325
95-th percentile573.615
Maximum648.5
Range568.5
Interquartile range (IQR)113

Descriptive statistics

Standard deviation133.39805
Coefficient of variation (CV)0.47570805
Kurtosis1.5928587
Mean280.42
Median Absolute Deviation (MAD)56.6
Skewness1.3704656
Sum8412.6
Variance17795.04
MonotonicityNot monotonic
2023-12-10T23:55:11.689578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
254.1 1
 
3.3%
371.6 1
 
3.3%
232.6 1
 
3.3%
226.7 1
 
3.3%
260.5 1
 
3.3%
149.2 1
 
3.3%
160.6 1
 
3.3%
209.0 1
 
3.3%
221.2 1
 
3.3%
173.7 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
80.0 1
3.3%
149.2 1
3.3%
160.6 1
3.3%
164.2 1
3.3%
173.7 1
3.3%
179.4 1
3.3%
182.2 1
3.3%
196.1 1
3.3%
209.0 1
3.3%
216.1 1
3.3%
ValueCountFrequency (%)
648.5 1
3.3%
576.9 1
3.3%
569.6 1
3.3%
438.2 1
3.3%
402.9 1
3.3%
371.6 1
3.3%
356.7 1
3.3%
312.8 1
3.3%
310.9 1
3.3%
298.6 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.716667
Minimum40
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:11.893025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile43.2
Q163.8
median74.1
Q380.975
95-th percentile114.02
Maximum123
Range83
Interquartile range (IQR)17.175

Descriptive statistics

Standard deviation19.329718
Coefficient of variation (CV)0.25870691
Kurtosis1.0032104
Mean74.716667
Median Absolute Deviation (MAD)8.7
Skewness0.59187978
Sum2241.5
Variance373.63799
MonotonicityNot monotonic
2023-12-10T23:55:12.062397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
43.2 2
 
6.7%
86.4 1
 
3.3%
74.4 1
 
3.3%
82.6 1
 
3.3%
71.0 1
 
3.3%
70.2 1
 
3.3%
77.1 1
 
3.3%
83.0 1
 
3.3%
62.9 1
 
3.3%
110.5 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
40.0 1
3.3%
43.2 2
6.7%
53.1 1
3.3%
56.3 1
3.3%
59.2 1
3.3%
62.9 1
3.3%
63.4 1
3.3%
65.0 1
3.3%
70.2 1
3.3%
71.0 1
3.3%
ValueCountFrequency (%)
123.0 1
3.3%
116.9 1
3.3%
110.5 1
3.3%
94.4 1
3.3%
86.4 1
3.3%
83.0 1
3.3%
82.6 1
3.3%
81.1 1
3.3%
80.6 1
3.3%
80.1 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1084.4567
Minimum680.8
Maximum2254.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.259640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum680.8
5-th percentile803.41
Q1867.475
median983.1
Q31069.475
95-th percentile1736.685
Maximum2254.5
Range1573.7
Interquartile range (IQR)202

Descriptive statistics

Standard deviation346.19233
Coefficient of variation (CV)0.31923113
Kurtosis3.9073869
Mean1084.4567
Median Absolute Deviation (MAD)113.05
Skewness1.9480656
Sum32533.7
Variance119849.13
MonotonicityNot monotonic
2023-12-10T23:55:12.785190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
864.9 1
 
3.3%
981.9 1
 
3.3%
1047.1 1
 
3.3%
1173.7 1
 
3.3%
1032.2 1
 
3.3%
853.0 1
 
3.3%
945.5 1
 
3.3%
813.2 1
 
3.3%
1859.4 1
 
3.3%
815.9 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
680.8 1
3.3%
795.4 1
3.3%
813.2 1
3.3%
815.9 1
3.3%
843.2 1
3.3%
852.1 1
3.3%
853.0 1
3.3%
864.9 1
3.3%
875.2 1
3.3%
891.5 1
3.3%
ValueCountFrequency (%)
2254.5 1
3.3%
1859.4 1
3.3%
1586.7 1
3.3%
1570.3 1
3.3%
1525.4 1
3.3%
1210.9 1
3.3%
1173.7 1
3.3%
1070.3 1
3.3%
1067.0 1
3.3%
1064.0 1
3.3%

평균월소비(STAT_H_DONG_058)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.77333
Minimum203.3
Maximum694.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.946639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203.3
5-th percentile211.805
Q1245.55
median288.15
Q3419.575
95-th percentile635.045
Maximum694.4
Range491.1
Interquartile range (IQR)174.025

Descriptive statistics

Standard deviation143.90807
Coefficient of variation (CV)0.40335993
Kurtosis-0.026727004
Mean356.77333
Median Absolute Deviation (MAD)67.2
Skewness1.0153335
Sum10703.2
Variance20709.532
MonotonicityNot monotonic
2023-12-10T23:55:13.154171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
206.9 1
 
3.3%
615.3 1
 
3.3%
203.3 1
 
3.3%
281.8 1
 
3.3%
406.3 1
 
3.3%
604.7 1
 
3.3%
413.2 1
 
3.3%
401.8 1
 
3.3%
548.3 1
 
3.3%
267.7 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
203.3 1
3.3%
206.9 1
3.3%
217.8 1
3.3%
224.1 1
3.3%
228.9 1
3.3%
229.1 1
3.3%
231.0 1
3.3%
242.9 1
3.3%
253.5 1
3.3%
264.7 1
3.3%
ValueCountFrequency (%)
694.4 1
3.3%
651.2 1
3.3%
615.3 1
3.3%
604.7 1
3.3%
548.3 1
3.3%
474.8 1
3.3%
430.6 1
3.3%
421.7 1
3.3%
413.2 1
3.3%
406.3 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.14667
Minimum72.2
Maximum295.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:13.327286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.2
5-th percentile110.96
Q1145.95
median157.15
Q3176.375
95-th percentile277.92
Maximum295.5
Range223.3
Interquartile range (IQR)30.425

Descriptive statistics

Standard deviation49.318883
Coefficient of variation (CV)0.29683944
Kurtosis1.8408062
Mean166.14667
Median Absolute Deviation (MAD)12.95
Skewness1.1344955
Sum4984.4
Variance2432.3522
MonotonicityNot monotonic
2023-12-10T23:55:13.482829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
149.9 2
 
6.7%
169.4 2
 
6.7%
109.7 1
 
3.3%
158.6 1
 
3.3%
148.2 1
 
3.3%
159.8 1
 
3.3%
184.6 1
 
3.3%
187.2 1
 
3.3%
264.5 1
 
3.3%
295.5 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
72.2 1
3.3%
109.7 1
3.3%
112.5 1
3.3%
113.6 1
3.3%
120.2 1
3.3%
128.1 1
3.3%
144.7 1
3.3%
145.2 1
3.3%
148.2 1
3.3%
149.9 2
6.7%
ValueCountFrequency (%)
295.5 1
3.3%
288.9 1
3.3%
264.5 1
3.3%
218.6 1
3.3%
205.5 1
3.3%
187.2 1
3.3%
184.6 1
3.3%
178.3 1
3.3%
170.6 1
3.3%
169.4 2
6.7%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.43
Minimum206.4
Maximum611.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:13.624269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206.4
5-th percentile226.84
Q1256.825
median308.05
Q3346.275
95-th percentile486.505
Maximum611.5
Range405.1
Interquartile range (IQR)89.45

Descriptive statistics

Standard deviation89.785577
Coefficient of variation (CV)0.27933166
Kurtosis2.8185445
Mean321.43
Median Absolute Deviation (MAD)45.55
Skewness1.4972659
Sum9642.9
Variance8061.4498
MonotonicityNot monotonic
2023-12-10T23:55:13.784928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
244.1 1
 
3.3%
352.9 1
 
3.3%
283.8 1
 
3.3%
346.5 1
 
3.3%
396.3 1
 
3.3%
514.0 1
 
3.3%
331.3 1
 
3.3%
345.6 1
 
3.3%
279.7 1
 
3.3%
262.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
206.4 1
3.3%
225.4 1
3.3%
228.6 1
3.3%
229.5 1
3.3%
244.1 1
3.3%
248.3 1
3.3%
254.4 1
3.3%
255.1 1
3.3%
262.0 1
3.3%
263.0 1
3.3%
ValueCountFrequency (%)
611.5 1
3.3%
514.0 1
3.3%
452.9 1
3.3%
418.0 1
3.3%
396.3 1
3.3%
380.8 1
3.3%
352.9 1
3.3%
346.5 1
3.3%
345.6 1
3.3%
344.6 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.18
Minimum330.1
Maximum774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:13.967518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330.1
5-th percentile333.37
Q1357.75
median397.45
Q3433.25
95-th percentile651.635
Maximum774
Range443.9
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation104.67906
Coefficient of variation (CV)0.2467798
Kurtosis4.1481962
Mean424.18
Median Absolute Deviation (MAD)39.95
Skewness2.0437838
Sum12725.4
Variance10957.705
MonotonicityNot monotonic
2023-12-10T23:55:14.131907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
451.5 1
 
3.3%
395.9 1
 
3.3%
390.7 1
 
3.3%
774.0 1
 
3.3%
422.5 1
 
3.3%
335.9 1
 
3.3%
621.0 1
 
3.3%
417.7 1
 
3.3%
355.4 1
 
3.3%
406.4 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
330.1 1
3.3%
331.3 1
3.3%
335.9 1
3.3%
345.8 1
3.3%
347.9 1
3.3%
351.9 1
3.3%
352.7 1
3.3%
355.4 1
3.3%
364.8 1
3.3%
368.2 1
3.3%
ValueCountFrequency (%)
774.0 1
3.3%
676.7 1
3.3%
621.0 1
3.3%
544.5 1
3.3%
494.1 1
3.3%
463.2 1
3.3%
451.5 1
3.3%
435.3 1
3.3%
427.1 1
3.3%
422.5 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.72
Minimum450.8
Maximum1056.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:14.306543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450.8
5-th percentile454.355
Q1493.9
median551.4
Q3614.15
95-th percentile955.4
Maximum1056.6
Range605.8
Interquartile range (IQR)120.25

Descriptive statistics

Standard deviation156.29644
Coefficient of variation (CV)0.26324941
Kurtosis2.9451449
Mean593.72
Median Absolute Deviation (MAD)60.3
Skewness1.8482266
Sum17811.6
Variance24428.576
MonotonicityNot monotonic
2023-12-10T23:55:14.480800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1005.8 1
 
3.3%
519.3 1
 
3.3%
546.8 1
 
3.3%
610.4 1
 
3.3%
476.1 1
 
3.3%
497.5 1
 
3.3%
572.3 1
 
3.3%
571.1 1
 
3.3%
609.4 1
 
3.3%
626.8 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
450.8 1
3.3%
451.7 1
3.3%
457.6 1
3.3%
476.1 1
3.3%
476.6 1
3.3%
489.9 1
3.3%
490.7 1
3.3%
492.7 1
3.3%
497.5 1
3.3%
499.0 1
3.3%
ValueCountFrequency (%)
1056.6 1
3.3%
1005.8 1
3.3%
893.8 1
3.3%
832.4 1
3.3%
658.9 1
3.3%
627.4 1
3.3%
626.8 1
3.3%
615.1 1
3.3%
611.3 1
3.3%
610.4 1
3.3%

5인이상가구평균월소비(STAT_H_DONG_063)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.73667
Minimum0
Maximum1852
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:14.641559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile372.875
Q1567.025
median672.55
Q3816.225
95-th percentile1264.91
Maximum1852
Range1852
Interquartile range (IQR)249.2

Descriptive statistics

Standard deviation324.99187
Coefficient of variation (CV)0.45597748
Kurtosis5.0800294
Mean712.73667
Median Absolute Deviation (MAD)111.9
Skewness1.4927749
Sum21382.1
Variance105619.72
MonotonicityNot monotonic
2023-12-10T23:55:14.860735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
579.5 1
 
3.3%
836.9 1
 
3.3%
886.0 1
 
3.3%
458.4 1
 
3.3%
648.0 1
 
3.3%
597.4 1
 
3.3%
668.6 1
 
3.3%
967.0 1
 
3.3%
691.3 1
 
3.3%
676.5 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.0 1
3.3%
302.9 1
3.3%
458.4 1
3.3%
461.8 1
3.3%
552.3 1
3.3%
553.0 1
3.3%
554.8 1
3.3%
566.5 1
3.3%
568.6 1
3.3%
579.5 1
3.3%
ValueCountFrequency (%)
1852.0 1
3.3%
1376.6 1
3.3%
1128.4 1
3.3%
967.0 1
3.3%
903.1 1
3.3%
886.0 1
3.3%
836.9 1
3.3%
835.3 1
3.3%
759.0 1
3.3%
698.3 1
3.3%

평균대출잔액(STAT_H_DONG_064)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7803.92
Minimum3240.8
Maximum19309.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:15.063484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3240.8
5-th percentile4050.215
Q14831.125
median6212.5
Q39081.475
95-th percentile15614.55
Maximum19309.2
Range16068.4
Interquartile range (IQR)4250.35

Descriptive statistics

Standard deviation4178.6587
Coefficient of variation (CV)0.53545638
Kurtosis0.88842794
Mean7803.92
Median Absolute Deviation (MAD)1546.15
Skewness1.3277421
Sum234117.6
Variance17461189
MonotonicityNot monotonic
2023-12-10T23:55:15.278951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5252.1 1
 
3.3%
8574.1 1
 
3.3%
4887.3 1
 
3.3%
7766.9 1
 
3.3%
5996.6 1
 
3.3%
4789.4 1
 
3.3%
10622.3 1
 
3.3%
6665.8 1
 
3.3%
3240.8 1
 
3.3%
4030.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3240.8 1
3.3%
4030.1 1
3.3%
4074.8 1
3.3%
4435.8 1
3.3%
4674.6 1
3.3%
4714.3 1
3.3%
4789.4 1
3.3%
4812.4 1
3.3%
4887.3 1
3.3%
5183.3 1
3.3%
ValueCountFrequency (%)
19309.2 1
3.3%
16076.7 1
3.3%
15049.7 1
3.3%
14836.6 1
3.3%
13530.8 1
3.3%
11684.9 1
3.3%
10622.3 1
3.3%
9250.6 1
3.3%
8574.1 1
3.3%
7786.0 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3879.1767
Minimum1845.2
Maximum9503.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:15.605217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1845.2
5-th percentile2038.91
Q12622.7
median3653.6
Q34432.65
95-th percentile7292.46
Maximum9503.1
Range7657.9
Interquartile range (IQR)1809.95

Descriptive statistics

Standard deviation1726.8417
Coefficient of variation (CV)0.44515676
Kurtosis3.4845137
Mean3879.1767
Median Absolute Deviation (MAD)849.35
Skewness1.7114569
Sum116375.3
Variance2981982.2
MonotonicityNot monotonic
2023-12-10T23:55:16.347956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3351.3 1
 
3.3%
3918.4 1
 
3.3%
2066.3 1
 
3.3%
8111.1 1
 
3.3%
3093.6 1
 
3.3%
1845.2 1
 
3.3%
2577.1 1
 
3.3%
3821.6 1
 
3.3%
3760.7 1
 
3.3%
2418.7 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1845.2 1
3.3%
2016.5 1
3.3%
2066.3 1
3.3%
2418.7 1
3.3%
2432.6 1
3.3%
2482.4 1
3.3%
2542.9 1
3.3%
2577.1 1
3.3%
2759.5 1
3.3%
3000.6 1
3.3%
ValueCountFrequency (%)
9503.1 1
3.3%
8111.1 1
3.3%
6291.9 1
3.3%
5600.3 1
3.3%
5267.5 1
3.3%
4587.5 1
3.3%
4458.2 1
3.3%
4442.7 1
3.3%
4402.5 1
3.3%
4211.2 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6727.7433
Minimum2795.6
Maximum12323.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:16.811205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2795.6
5-th percentile2993.15
Q15169.575
median6107.6
Q38216.1
95-th percentile11331.015
Maximum12323.1
Range9527.5
Interquartile range (IQR)3046.525

Descriptive statistics

Standard deviation2498.2529
Coefficient of variation (CV)0.37133594
Kurtosis-0.22330985
Mean6727.7433
Median Absolute Deviation (MAD)1452.7
Skewness0.51591702
Sum201832.3
Variance6241267.4
MonotonicityNot monotonic
2023-12-10T23:55:17.082132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7699.6 1
 
3.3%
10834.2 1
 
3.3%
6142.5 1
 
3.3%
5419.0 1
 
3.3%
6425.9 1
 
3.3%
12323.1 1
 
3.3%
2795.6 1
 
3.3%
2832.5 1
 
3.3%
4831.0 1
 
3.3%
4719.9 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2795.6 1
3.3%
2832.5 1
3.3%
3189.5 1
3.3%
3660.1 1
3.3%
4719.9 1
3.3%
4831.0 1
3.3%
5089.3 1
3.3%
5169.1 1
3.3%
5171.0 1
3.3%
5277.4 1
3.3%
ValueCountFrequency (%)
12323.1 1
3.3%
11737.5 1
3.3%
10834.2 1
3.3%
9577.3 1
3.3%
9337.1 1
3.3%
9286.8 1
3.3%
8982.7 1
3.3%
8379.6 1
3.3%
7725.6 1
3.3%
7699.6 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9001.0567
Minimum3275.3
Maximum17332.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:17.343058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3275.3
5-th percentile5034.82
Q16559.175
median8332
Q311072.525
95-th percentile15377.615
Maximum17332.9
Range14057.6
Interquartile range (IQR)4513.35

Descriptive statistics

Standard deviation3404.9287
Coefficient of variation (CV)0.378281
Kurtosis0.069475799
Mean9001.0567
Median Absolute Deviation (MAD)2274.15
Skewness0.72087598
Sum270031.7
Variance11593540
MonotonicityNot monotonic
2023-12-10T23:55:17.548125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6487.5 1
 
3.3%
15134.9 1
 
3.3%
6084.9 1
 
3.3%
6774.2 1
 
3.3%
5407.2 1
 
3.3%
3275.3 1
 
3.3%
8325.2 1
 
3.3%
17332.9 1
 
3.3%
10484.6 1
 
3.3%
13327.9 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3275.3 1
3.3%
4888.3 1
3.3%
5213.9 1
3.3%
5407.2 1
3.3%
5855.3 1
3.3%
6030.8 1
3.3%
6084.9 1
3.3%
6487.5 1
3.3%
6774.2 1
3.3%
6833.5 1
3.3%
ValueCountFrequency (%)
17332.9 1
3.3%
15576.2 1
3.3%
15134.9 1
3.3%
13327.9 1
3.3%
12252.1 1
3.3%
11848.0 1
3.3%
11271.0 1
3.3%
11127.0 1
3.3%
10909.1 1
3.3%
10484.6 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12269.12
Minimum5358.9
Maximum26690.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:17.757010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5358.9
5-th percentile6630.315
Q19297.85
median11388.55
Q314900.85
95-th percentile22450.585
Maximum26690.9
Range21332
Interquartile range (IQR)5603

Descriptive statistics

Standard deviation5061.8319
Coefficient of variation (CV)0.41256683
Kurtosis1.5179834
Mean12269.12
Median Absolute Deviation (MAD)3246.9
Skewness1.2080684
Sum368073.6
Variance25622142
MonotonicityNot monotonic
2023-12-10T23:55:17.949169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14987.8 1
 
3.3%
9297.0 1
 
3.3%
8146.2 1
 
3.3%
11238.5 1
 
3.3%
9678.1 1
 
3.3%
12868.7 1
 
3.3%
15327.7 1
 
3.3%
9897.5 1
 
3.3%
17134.8 1
 
3.3%
9300.4 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
5358.9 1
3.3%
6482.4 1
3.3%
6811.1 1
3.3%
6951.5 1
3.3%
7268.8 1
3.3%
7480.4 1
3.3%
8146.2 1
3.3%
9297.0 1
3.3%
9300.4 1
3.3%
9678.1 1
3.3%
ValueCountFrequency (%)
26690.9 1
3.3%
24009.7 1
3.3%
20545.0 1
3.3%
17150.1 1
3.3%
17134.8 1
3.3%
15327.7 1
3.3%
14988.2 1
3.3%
14987.8 1
3.3%
14640.0 1
3.3%
13037.7 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13816.107
Minimum6611
Maximum28584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:18.108144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6611
5-th percentile6970.495
Q19766.25
median12848
Q316517.375
95-th percentile24725.7
Maximum28584
Range21973
Interquartile range (IQR)6751.125

Descriptive statistics

Standard deviation5542.9335
Coefficient of variation (CV)0.4011936
Kurtosis0.70976223
Mean13816.107
Median Absolute Deviation (MAD)3183.9
Skewness1.0223535
Sum414483.2
Variance30724112
MonotonicityNot monotonic
2023-12-10T23:55:18.277469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17407.7 1
 
3.3%
15186.1 1
 
3.3%
14716.4 1
 
3.3%
7226.3 1
 
3.3%
24748.2 1
 
3.3%
14020.7 1
 
3.3%
13977.0 1
 
3.3%
16776.5 1
 
3.3%
9809.6 1
 
3.3%
20328.3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
6611.0 1
3.3%
6761.2 1
3.3%
7226.3 1
3.3%
8317.5 1
3.3%
8363.4 1
3.3%
9465.4 1
3.3%
9576.4 1
3.3%
9751.8 1
3.3%
9809.6 1
3.3%
10033.4 1
3.3%
ValueCountFrequency (%)
28584.0 1
3.3%
24748.2 1
3.3%
24698.2 1
3.3%
20328.3 1
3.3%
20138.4 1
3.3%
17407.7 1
3.3%
16971.3 1
3.3%
16776.5 1
3.3%
15740.0 1
3.3%
15186.1 1
3.3%

Sample

데이터_기준월(BS_YR_MON)통계청_행정동코드(HANG_CD)행안부_행정동코드(G_ADM_DONG_CD)집계가구수(STAT_H_DONG_001)가구주가_남성인_가구수(STAT_H_DONG_002)가구주가_여성인_가구수(STAT_H_DONG_003)가구주연령대가_20대인_가구수(STAT_H_DONG_004)가구주연령대가_30대인_가구수(STAT_H_DONG_005)가구주연령대가_40대인_가구수(STAT_H_DONG_006)가구주연령대가_50대인_가구수(STAT_H_DONG_007)가구주연령대가_60대인_가구수(STAT_H_DONG_008)가구주연령대가_70대이상인_가구수(STAT_H_DONG_009)평균근로소득(STAT_H_DONG_010)평균사업소득(STAT_H_DONG_011)평균기타소득(STAT_H_DONG_012)평균총소득(STAT_H_DONG_013)중위근로소득(STAT_H_DONG_014)중위사업소득(STAT_H_DONG_015)중위기타소특(STAT_H_DONG_016)중위총소득(STAT_H_DONG_017)1분위소득가구수(STAT_H_DONG_018)2분위소득가구수(STAT_H_DONG_019)3분위소득가구수(STAT_H_DONG_020)4분위소득가구수(STAT_H_DONG_021)5분위소득가구수(STAT_H_DONG_022)20대평균소득(STAT_H_DONG_023)30대평균소득(STAT_H_DONG_024)40대평균소득(STAT_H_DONG_025)50대평균소득(STAT_H_DONG_026)60대평균소득(STAT_H_DONG_027)70대이상평균소득(STAT_H_DONG_028)1인가구수(STAT_H_DONG_029)2인가구수(STAT_H_DONG_030)3인가구수(STAT_H_DONG_031)4인가구수(STAT_H_DONG_032)5인이상가구수(STAT_H_DONG_033)1인가구평균근로소득(STAT_H_DONG_034)1인가구평균사업소득(STAT_H_DONG_035)1인가구평균기타소득(STAT_H_DONG_036)1인가구평균총소득(STAT_H_DONG_037)2인가구평균근로소득(STAT_H_DONG_038)2인가구평균사업소득(STAT_H_DONG_039)2인가구평균기타소득(STAT_H_DONG_040)2인가구평균총소득(STAT_H_DONG_041)3인가구평균근로소득(STAT_H_DONG_042)3인가구평균사업소득(STAT_H_DONG_043)3인가구평균기타소득(STAT_H_DONG_044)3인가구평균총소득(STAT_H_DONG_045)4인가구평균근로소득(STAT_H_DONG_046)4인가구평균사업소득(STAT_H_DONG_047)4인가구평균기타소득(STAT_H_DONG_048)4인가구평균총소득(STAT_H_DONG_049)5인가구평균근로소득(STAT_H_DONG_050)5인가구평균사업소득(STAT_H_DONG_051)5인가구평균기타소득(STAT_H_DONG_052)5인가구평균총소득(STAT_H_DONG_053)평균월소비(STAT_H_DONG_058)1인가구평균월소비(STAT_H_DONG_059)2인가구평균월소비(STAT_H_DONG_060)3인가구평균월소비(STAT_H_DONG_061)4인가구평균월소비(STAT_H_DONG_062)5인이상가구평균월소비(STAT_H_DONG_063)평균대출잔액(STAT_H_DONG_064)1인가구평균대출잔액(STAT_H_DONG_065)2인가구평균대출잔액(STAT_H_DONG_066)3인가구평균대출잔액(STAT_H_DONG_067)4인가구평균대출잔액(STAT_H_DONG_068)5인이상가구평균대출잔액(STAT_H_DONG_069)
0202004111107611215847661736442281174114432522798151174326.284.875.1673.8566.4056.7816.62954215913521384662216.11081.3625.1745.6526.4311.1432223331805117789316.445.737.7443.9358.386.882.6587.1547.9115.669.0911.9631.2419.296.5910.7987.1254.186.4864.9206.9151.3244.1451.51005.8579.55252.13351.37699.66487.514987.817407.7
120200411060831138052011073255942776105342454124913721333346.978.377.6403.5591.6063.12284.11964117746421501611280.2501.4763.01160.7512.7481.12303289723511459100285.853.340.6479.4443.5118.397.8523.2471.2202.069.01630.7985.9156.368.1821.4788.0216.194.41570.3242.9166.4333.1544.5489.91852.04435.89503.13189.58524.224009.79576.4
220200211110641174065082253155514415272732160527611234601406.5106.164.9462.0573.1079.41058.855716201237386856295.9770.1875.9736.0883.3389.359222441696119358190.839.942.0270.5329.3216.064.6580.4441.8112.573.2794.3503.6160.574.71072.3843.7261.576.0908.5253.5155.7263.0676.71056.6903.14074.83678.011737.54888.326690.913926.0
320191111170611174061012065436425291617781446128922291455332.6102.055.0962.5698.1055.4697.6176818366751970944355.3483.11357.5580.0655.3328.4106621941778238194253.459.139.6252.8335.0128.570.4523.4404.3108.661.41037.4679.1171.969.3967.2806.4569.640.01067.0229.1205.5277.0399.0499.6553.014836.62759.58379.65213.910413.128584.0
4201908111205711560535770427154803932080121127021956488455.6213.955.8399.8498.4074.9619.0110015634451997421254.0548.1738.5737.1623.6466.52131108012111209402199.767.344.3309.7323.286.176.9435.4358.9200.271.2812.6674.8172.465.81578.6887.8216.659.2984.3280.2120.2380.8427.1490.7302.95588.83000.65853.710909.17480.48317.5
52019051119071112906107796641431883770372017413861476279.174.882.7437.4796.8067.6825.83236471152519442451336.7407.6713.9666.8349.4354.1109220411870267183215.152.050.8247.0365.7143.372.7500.5413.2145.065.0695.7690.2327.671.9679.1769.7310.973.81070.3694.4144.7452.9372.2893.8692.54714.32432.65277.411271.017150.111637.0
6201906110706011170650845537394212475281094151517762093284.1157.160.8406.8559.2047.8881.912992327207513021582339.1509.51153.4703.6507.2300.3366925691862642781237.663.641.2413.2369.079.880.8521.4447.7145.088.2767.2591.2185.064.9773.1930.0221.743.2976.8228.9288.9206.4347.9517.61376.66637.05600.37303.09220.810172.08363.4
72019091122067112907251019366352751181565226618291776945801.7128.760.1484.3613.50104.91157.7596189497915031979295.9469.5605.8799.6505.0314.52811287710371439877266.443.945.4305.5402.894.582.8716.5515.2134.960.0737.8639.6421.366.7682.8604.3286.865.01586.7400.2178.3248.3435.3615.1554.813530.82482.48982.76833.56951.520138.4
8202005111805811215740842055727216963435071385697683497.980.260.5396.5551.7083.4997.6860312516721431019309.1429.31586.3672.1464.7393.1114724011480107614217.854.347.0563.8379.6230.765.1654.7472.1148.070.3960.8858.8130.271.1991.7763.7402.956.3680.8306.8112.5306.6351.9627.4609.99250.62016.59337.19998.912363.916971.3
9202011112205411680600710239814271260182368315899322202305.287.045.51128.3731.3068.6754.21406875170414751822316.4949.8901.3765.61459.4473.020542994204069084154.993.744.0289.1254.4157.172.1755.7499.6247.882.71449.8842.7143.368.31128.7862.7576.980.11064.0224.1170.6228.6331.3492.7835.36428.44402.59577.312252.17268.811639.9
데이터_기준월(BS_YR_MON)통계청_행정동코드(HANG_CD)행안부_행정동코드(G_ADM_DONG_CD)집계가구수(STAT_H_DONG_001)가구주가_남성인_가구수(STAT_H_DONG_002)가구주가_여성인_가구수(STAT_H_DONG_003)가구주연령대가_20대인_가구수(STAT_H_DONG_004)가구주연령대가_30대인_가구수(STAT_H_DONG_005)가구주연령대가_40대인_가구수(STAT_H_DONG_006)가구주연령대가_50대인_가구수(STAT_H_DONG_007)가구주연령대가_60대인_가구수(STAT_H_DONG_008)가구주연령대가_70대이상인_가구수(STAT_H_DONG_009)평균근로소득(STAT_H_DONG_010)평균사업소득(STAT_H_DONG_011)평균기타소득(STAT_H_DONG_012)평균총소득(STAT_H_DONG_013)중위근로소득(STAT_H_DONG_014)중위사업소득(STAT_H_DONG_015)중위기타소특(STAT_H_DONG_016)중위총소득(STAT_H_DONG_017)1분위소득가구수(STAT_H_DONG_018)2분위소득가구수(STAT_H_DONG_019)3분위소득가구수(STAT_H_DONG_020)4분위소득가구수(STAT_H_DONG_021)5분위소득가구수(STAT_H_DONG_022)20대평균소득(STAT_H_DONG_023)30대평균소득(STAT_H_DONG_024)40대평균소득(STAT_H_DONG_025)50대평균소득(STAT_H_DONG_026)60대평균소득(STAT_H_DONG_027)70대이상평균소득(STAT_H_DONG_028)1인가구수(STAT_H_DONG_029)2인가구수(STAT_H_DONG_030)3인가구수(STAT_H_DONG_031)4인가구수(STAT_H_DONG_032)5인이상가구수(STAT_H_DONG_033)1인가구평균근로소득(STAT_H_DONG_034)1인가구평균사업소득(STAT_H_DONG_035)1인가구평균기타소득(STAT_H_DONG_036)1인가구평균총소득(STAT_H_DONG_037)2인가구평균근로소득(STAT_H_DONG_038)2인가구평균사업소득(STAT_H_DONG_039)2인가구평균기타소득(STAT_H_DONG_040)2인가구평균총소득(STAT_H_DONG_041)3인가구평균근로소득(STAT_H_DONG_042)3인가구평균사업소득(STAT_H_DONG_043)3인가구평균기타소득(STAT_H_DONG_044)3인가구평균총소득(STAT_H_DONG_045)4인가구평균근로소득(STAT_H_DONG_046)4인가구평균사업소득(STAT_H_DONG_047)4인가구평균기타소득(STAT_H_DONG_048)4인가구평균총소득(STAT_H_DONG_049)5인가구평균근로소득(STAT_H_DONG_050)5인가구평균사업소득(STAT_H_DONG_051)5인가구평균기타소득(STAT_H_DONG_052)5인가구평균총소득(STAT_H_DONG_053)평균월소비(STAT_H_DONG_058)1인가구평균월소비(STAT_H_DONG_059)2인가구평균월소비(STAT_H_DONG_060)3인가구평균월소비(STAT_H_DONG_061)4인가구평균월소비(STAT_H_DONG_062)5인이상가구평균월소비(STAT_H_DONG_063)평균대출잔액(STAT_H_DONG_064)1인가구평균대출잔액(STAT_H_DONG_065)2인가구평균대출잔액(STAT_H_DONG_066)3인가구평균대출잔액(STAT_H_DONG_067)4인가구평균대출잔액(STAT_H_DONG_068)5인이상가구평균대출잔액(STAT_H_DONG_069)
20202003110906911170530516341283521271393352828678941308868.6114.857.0434.8573.9088.01601.01912501207041271234293.2608.6754.4764.8388.4332.61064158427211586716182.699.037.5345.2374.885.875.7411.1426.0132.884.9736.6615.7172.381.11322.5977.9312.863.42254.5421.7150.0313.7369.1502.7683.311684.93816.65169.19778.79733.210033.4
21201905112307711170520786726302996793610561987986735318.3166.343.7593.9622.00116.1730.61257118015152743925360.0819.2780.21200.6695.6538.7128523713102941382184.357.551.3279.2285.5140.571.8413.0478.8139.774.0875.31092.5182.781.8759.2589.9298.643.2852.1276.372.2344.6494.1451.7759.04674.64587.57725.611848.014640.012875.6
22202102110807211170555409445913401185408571220179001020374.095.662.5425.3629.7082.5887.6167845326471627617318.7390.8641.31162.7698.0262.43626104112422385434147.056.347.8319.9316.5130.170.7536.6511.8123.776.5732.01041.3171.572.91085.1680.0173.771.4815.9267.7295.5262.0406.4626.8676.54030.12418.74719.913327.99300.420328.3
23201906111506011620575816553062234214619190714781261445404.4112.159.8660.5682.8086.9861.925021931196810274288286.1629.41538.1524.7499.5400.538663573186995924208.256.542.0316.0454.583.265.7476.61056.7201.365.0729.9833.4168.078.3793.1477.5221.2110.51859.4548.3264.5279.7355.4609.4691.33240.83760.74831.010484.617134.89809.6
242019021115066117406408731226041612550583143419109761237918.3210.153.7614.8657.00138.51765.414551639215721661150472.2986.9491.5505.5890.9388.372192930232811792217.6154.537.6275.0291.699.566.6421.0417.3269.979.62020.1713.6188.3100.91001.4724.0209.062.9813.2401.8187.2345.6417.7571.1967.06665.83821.62832.517332.99897.516776.5
252020011111051117106106334478550094011955938195914651991655.175.959.1405.7677.5022.2822.11859177214327031530223.0758.8478.2634.7768.1362.845422128913263228172.1119.140.6308.6348.271.270.7435.3667.0112.487.0984.9816.9199.3107.81011.8893.9160.683.0945.5413.2184.6331.3621.0572.3668.610622.32577.12795.68325.215327.713977.0
262020061124060113205155115138612922404019920100215461363547.6138.059.9408.0631.5089.9760.21736712241318362347239.9793.51211.9885.0560.1540.516371691164973281270.129.237.0276.1314.078.468.3752.3548.5218.471.4716.6695.7141.872.5671.0810.5149.277.1853.0604.7159.8514.0335.9497.5597.44789.41845.212323.13275.312868.714020.7
2720201211110591162069512675394375629312333147167214581282335.8144.062.5379.1624.40135.41363.2144692827911610971231.5507.2951.6874.4872.2632.255114861715773105218.733.035.8301.1650.493.477.6393.3609.4280.269.9651.3833.4149.862.4842.01504.8260.570.21032.2406.3148.2396.3422.5476.1648.05996.63093.66425.95407.29678.124748.2
2820201211010571138057041378199329045641165518671983950377.7101.557.4459.0764.10141.9623.361192113562706969365.2590.1767.9576.5569.5400.6273633421021607218187.250.238.7274.0368.982.876.5635.3518.2341.065.9605.6719.8197.7101.0721.2763.3226.771.01173.7281.8149.9346.5774.0610.4458.47766.98111.15419.06774.211238.57226.3
292020051111052111106009364360914011461596204630969631360461.183.060.4528.4796.7053.71028.11989214213721554953262.4411.01119.7790.2774.8460.44063258513891805212217.742.538.9339.6418.777.669.3496.9425.8222.866.0782.4675.0152.199.8766.0791.7232.682.61047.1203.3158.6283.8390.7546.8886.04887.32066.36142.56084.98146.214716.4