Overview

Dataset statistics

Number of variables26
Number of observations101
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory234.3 B

Variable types

Text1
Numeric25

Dataset

Description2015년 2월말 대구 주민등록 인구통계
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571b37f2940e304_201712071725&provdMethod=FILE

Alerts

중구 남 has 2 (2.0%) missing valuesMissing
구분 has unique valuesUnique
총계 has unique valuesUnique
동구 계 has unique valuesUnique
동구 여 has unique valuesUnique
서구 계 has unique valuesUnique
수성구 계 has unique valuesUnique
수성구 남 has unique valuesUnique
달서구 계 has unique valuesUnique
달성군 계 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:30:26.915466
Analysis finished2023-09-29 01:30:27.590118
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-09-29T01:30:28.110902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9405941
Min length2

Characters and Unicode

Total characters297
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row0세
2nd row1세
3rd row2세
4th row3세
5th row4세
ValueCountFrequency (%)
0세 1
 
1.0%
52세 1
 
1.0%
74세 1
 
1.0%
73세 1
 
1.0%
72세 1
 
1.0%
71세 1
 
1.0%
70세 1
 
1.0%
69세 1
 
1.0%
68세 1
 
1.0%
67세 1
 
1.0%
Other values (92) 92
90.2%
2023-09-29T01:30:29.289268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 101
34.0%
1 21
 
7.1%
4 20
 
6.7%
9 20
 
6.7%
2 20
 
6.7%
3 20
 
6.7%
5 20
 
6.7%
6 20
 
6.7%
7 20
 
6.7%
8 20
 
6.7%
Other values (4) 15
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
65.0%
Other Letter 103
34.7%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
10.9%
4 20
10.4%
9 20
10.4%
2 20
10.4%
3 20
10.4%
5 20
10.4%
6 20
10.4%
7 20
10.4%
8 20
10.4%
0 12
6.2%
Other Letter
ValueCountFrequency (%)
세 101
98.1%
이 1
 
1.0%
상 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
65.3%
Hangul 103
34.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21
10.8%
4 20
10.3%
9 20
10.3%
2 20
10.3%
3 20
10.3%
5 20
10.3%
6 20
10.3%
7 20
10.3%
8 20
10.3%
0 12
6.2%
Hangul
ValueCountFrequency (%)
세 101
98.1%
이 1
 
1.0%
상 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
65.3%
Hangul 103
34.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 101
98.1%
이 1
 
1.0%
상 1
 
1.0%
ASCII
ValueCountFrequency (%)
1 21
10.8%
4 20
10.3%
9 20
10.3%
2 20
10.3%
3 20
10.3%
5 20
10.3%
6 20
10.3%
7 20
10.3%
8 20
10.3%
0 12
6.2%

총계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24679.04
Minimum93
Maximum47738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:29.865422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile478
Q113587
median25077
Q336874
95-th percentile45495
Maximum47738
Range47645
Interquartile range (IQR)23287

Descriptive statistics

Standard deviation14611.024
Coefficient of variation (CV)0.59204184
Kurtosis-1.0795236
Mean24679.04
Median Absolute Deviation (MAD)11707
Skewness-0.26780665
Sum2492583
Variance2.1348203 × 108
MonotonicityNot monotonic
2023-09-29T01:30:30.454685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18389 1
 
1.0%
22637 1
 
1.0%
14928 1
 
1.0%
17328 1
 
1.0%
20785 1
 
1.0%
16953 1
 
1.0%
16527 1
 
1.0%
13587 1
 
1.0%
18134 1
 
1.0%
22267 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
93 1
1.0%
132 1
1.0%
202 1
1.0%
232 1
1.0%
354 1
1.0%
478 1
1.0%
514 1
1.0%
704 1
1.0%
976 1
1.0%
1128 1
1.0%
ValueCountFrequency (%)
47738 1
1.0%
47249 1
1.0%
46817 1
1.0%
46343 1
1.0%
46115 1
1.0%
45495 1
1.0%
45439 1
1.0%
45373 1
1.0%
45207 1
1.0%
44036 1
1.0%

중구 계
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean780.21782
Minimum12
Maximum1450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:31.209455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile35
Q1481
median858
Q31123
95-th percentile1309
Maximum1450
Range1438
Interquartile range (IQR)642

Descriptive statistics

Standard deviation421.88102
Coefficient of variation (CV)0.5407221
Kurtosis-1.0553394
Mean780.21782
Median Absolute Deviation (MAD)318
Skewness-0.41719102
Sum78802
Variance177983.59
MonotonicityNot monotonic
2023-09-29T01:30:31.901466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 2
 
2.0%
12 2
 
2.0%
1120 2
 
2.0%
1162 2
 
2.0%
1060 2
 
2.0%
1123 2
 
2.0%
543 1
 
1.0%
1116 1
 
1.0%
816 1
 
1.0%
993 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
12 2
2.0%
14 2
2.0%
22 1
1.0%
35 1
1.0%
44 1
1.0%
53 1
1.0%
62 1
1.0%
74 1
1.0%
78 1
1.0%
94 1
1.0%
ValueCountFrequency (%)
1450 1
1.0%
1391 1
1.0%
1382 1
1.0%
1342 1
1.0%
1313 1
1.0%
1309 1
1.0%
1304 1
1.0%
1293 1
1.0%
1285 1
1.0%
1281 1
1.0%

중구 남
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)86.9%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean388.49495
Minimum1
Maximum732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:32.745947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1248
median426
Q3585.5
95-th percentile652.1
Maximum732
Range731
Interquartile range (IQR)337.5

Descriptive statistics

Standard deviation215.34431
Coefficient of variation (CV)0.55430401
Kurtosis-1.0628921
Mean388.49495
Median Absolute Deviation (MAD)164
Skewness-0.40831154
Sum38461
Variance46373.171
MonotonicityNot monotonic
2023-09-29T01:30:33.453760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
560 3
 
3.0%
248 2
 
2.0%
434 2
 
2.0%
603 2
 
2.0%
634 2
 
2.0%
662 2
 
2.0%
604 2
 
2.0%
523 2
 
2.0%
374 2
 
2.0%
262 2
 
2.0%
Other values (76) 78
77.2%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
6 1
1.0%
7 1
1.0%
9 2
2.0%
15 2
2.0%
20 1
1.0%
23 1
1.0%
35 1
1.0%
54 1
1.0%
ValueCountFrequency (%)
732 1
1.0%
713 1
1.0%
671 1
1.0%
662 2
2.0%
651 1
1.0%
650 1
1.0%
646 1
1.0%
636 1
1.0%
634 2
2.0%
626 1
1.0%

중구 여
Real number (ℝ)

Distinct93
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.41584
Minimum11
Maximum740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:33.937192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile26
Q1245
median457
Q3559
95-th percentile682
Maximum740
Range729
Interquartile range (IQR)314

Descriptive statistics

Standard deviation206.56172
Coefficient of variation (CV)0.51715956
Kurtosis-0.96995307
Mean399.41584
Median Absolute Deviation (MAD)152
Skewness-0.38936438
Sum40341
Variance42667.745
MonotonicityNot monotonic
2023-09-29T01:30:34.729388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
541 3
 
3.0%
251 3
 
3.0%
12 2
 
2.0%
518 2
 
2.0%
427 2
 
2.0%
500 2
 
2.0%
687 1
 
1.0%
681 1
 
1.0%
381 1
 
1.0%
428 1
 
1.0%
Other values (83) 83
82.2%
ValueCountFrequency (%)
11 1
1.0%
12 2
2.0%
13 1
1.0%
15 1
1.0%
26 1
1.0%
38 1
1.0%
42 1
1.0%
44 1
1.0%
59 1
1.0%
63 1
1.0%
ValueCountFrequency (%)
740 1
1.0%
737 1
1.0%
696 1
1.0%
687 1
1.0%
685 1
1.0%
682 1
1.0%
681 1
1.0%
673 1
1.0%
656 1
1.0%
652 1
1.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448.9901
Minimum15
Maximum6750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:35.465740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile80
Q12385
median3724
Q35198
95-th percentile5881
Maximum6750
Range6735
Interquartile range (IQR)2813

Descriptive statistics

Standard deviation1928.5099
Coefficient of variation (CV)0.55915205
Kurtosis-0.92578026
Mean3448.9901
Median Absolute Deviation (MAD)1474
Skewness-0.39684058
Sum348348
Variance3719150.4
MonotonicityNot monotonic
2023-09-29T01:30:37.442765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2937 1
 
1.0%
3724 1
 
1.0%
2583 1
 
1.0%
2983 1
 
1.0%
3550 1
 
1.0%
2987 1
 
1.0%
2836 1
 
1.0%
2385 1
 
1.0%
3112 1
 
1.0%
3836 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
15 1
1.0%
23 1
1.0%
40 1
1.0%
42 1
1.0%
61 1
1.0%
80 1
1.0%
90 1
1.0%
112 1
1.0%
139 1
1.0%
163 1
1.0%
ValueCountFrequency (%)
6750 1
1.0%
6454 1
1.0%
6389 1
1.0%
5909 1
1.0%
5900 1
1.0%
5881 1
1.0%
5853 1
1.0%
5747 1
1.0%
5744 1
1.0%
5717 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1720.6832
Minimum1
Maximum3256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:38.808528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q11073
median1860
Q32631
95-th percentile3018
Maximum3256
Range3255
Interquartile range (IQR)1558

Descriptive statistics

Standard deviation1010.5843
Coefficient of variation (CV)0.58731575
Kurtosis-1.0716353
Mean1720.6832
Median Absolute Deviation (MAD)782
Skewness-0.43609896
Sum173789
Variance1021280.7
MonotonicityNot monotonic
2023-09-29T01:30:40.205742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1429 2
 
2.0%
1507 1
 
1.0%
1773 1
 
1.0%
1073 1
 
1.0%
1149 1
 
1.0%
1309 1
 
1.0%
1590 1
 
1.0%
1285 1
 
1.0%
1264 1
 
1.0%
1108 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
5 1
1.0%
8 1
1.0%
12 1
1.0%
13 1
1.0%
14 1
1.0%
18 1
1.0%
20 1
1.0%
31 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
3256 1
1.0%
3065 1
1.0%
3053 1
1.0%
3038 1
1.0%
3024 1
1.0%
3018 1
1.0%
2962 1
1.0%
2956 1
1.0%
2946 1
1.0%
2945 1
1.0%

동구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1728.3069
Minimum14
Maximum3494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:41.175523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile60
Q11258
median1751
Q32550
95-th percentile2954
Maximum3494
Range3480
Interquartile range (IQR)1292

Descriptive statistics

Standard deviation935.59316
Coefficient of variation (CV)0.54133507
Kurtosis-0.76799713
Mean1728.3069
Median Absolute Deviation (MAD)690
Skewness-0.2940214
Sum174559
Variance875334.55
MonotonicityNot monotonic
2023-09-29T01:30:41.801528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1430 1
 
1.0%
1951 1
 
1.0%
1434 1
 
1.0%
1674 1
 
1.0%
1960 1
 
1.0%
1702 1
 
1.0%
1572 1
 
1.0%
1277 1
 
1.0%
1683 1
 
1.0%
2014 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
18 1
1.0%
28 1
1.0%
34 1
1.0%
43 1
1.0%
60 1
1.0%
76 1
1.0%
99 1
1.0%
108 1
1.0%
131 1
1.0%
ValueCountFrequency (%)
3494 1
1.0%
3436 1
1.0%
3336 1
1.0%
3041 1
1.0%
3008 1
1.0%
2954 1
1.0%
2953 1
1.0%
2936 1
1.0%
2922 1
1.0%
2885 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2080.1881
Minimum6
Maximum4625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:42.410162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile31
Q11132
median2383
Q33052
95-th percentile3925
Maximum4625
Range4619
Interquartile range (IQR)1920

Descriptive statistics

Standard deviation1297.4662
Coefficient of variation (CV)0.62372542
Kurtosis-1.0548898
Mean2080.1881
Median Absolute Deviation (MAD)1042
Skewness-0.063310578
Sum210099
Variance1683418.6
MonotonicityNot monotonic
2023-09-29T01:30:43.083658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1132 1
 
1.0%
2397 1
 
1.0%
1464 1
 
1.0%
1819 1
 
1.0%
2241 1
 
1.0%
1803 1
 
1.0%
1798 1
 
1.0%
1380 1
 
1.0%
1924 1
 
1.0%
2383 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
6 1
1.0%
16 1
1.0%
23 1
1.0%
24 1
1.0%
29 1
1.0%
31 1
1.0%
55 1
1.0%
82 1
1.0%
88 1
1.0%
108 1
1.0%
ValueCountFrequency (%)
4625 1
1.0%
4581 1
1.0%
4503 1
1.0%
4370 1
1.0%
4048 1
1.0%
3925 1
1.0%
3840 1
1.0%
3819 1
1.0%
3793 1
1.0%
3777 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1063.63
Minimum1
Maximum2260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:43.608547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.85
Q1557.75
median1167
Q31637.25
95-th percentile1981.5
Maximum2260
Range2259
Interquartile range (IQR)1079.5

Descriptive statistics

Standard deviation684.54522
Coefficient of variation (CV)0.64359337
Kurtosis-1.2694701
Mean1063.63
Median Absolute Deviation (MAD)548
Skewness-0.15443492
Sum106363
Variance468602.15
MonotonicityNot monotonic
2023-09-29T01:30:44.223961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1923 2
 
2.0%
1726 2
 
2.0%
654 2
 
2.0%
1276 1
 
1.0%
637 1
 
1.0%
630 1
 
1.0%
794 1
 
1.0%
1028 1
 
1.0%
762 1
 
1.0%
810 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
10 1
1.0%
14 1
1.0%
15 1
1.0%
23 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
2260 1
1.0%
2246 1
1.0%
2233 1
1.0%
2162 1
1.0%
2010 1
1.0%
1980 1
1.0%
1956 1
1.0%
1937 1
1.0%
1923 2
2.0%
1904 1
1.0%

서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1027.0891
Minimum6
Maximum2379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:45.273199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile25
Q1588
median1108
Q31414
95-th percentile1979
Maximum2379
Range2373
Interquartile range (IQR)826

Descriptive statistics

Standard deviation620.95155
Coefficient of variation (CV)0.60457417
Kurtosis-0.75337403
Mean1027.0891
Median Absolute Deviation (MAD)464
Skewness0.085478847
Sum103736
Variance385580.82
MonotonicityNot monotonic
2023-09-29T01:30:45.744615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1041 2
 
2.0%
529 1
 
1.0%
1203 1
 
1.0%
888 1
 
1.0%
834 1
 
1.0%
1025 1
 
1.0%
1213 1
 
1.0%
988 1
 
1.0%
726 1
 
1.0%
1313 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
15 1
1.0%
19 1
1.0%
20 1
1.0%
24 1
1.0%
25 1
1.0%
45 1
1.0%
58 1
1.0%
74 1
1.0%
93 1
1.0%
ValueCountFrequency (%)
2379 1
1.0%
2348 1
1.0%
2243 1
1.0%
2208 1
1.0%
2038 1
1.0%
1979 1
1.0%
1961 1
1.0%
1953 1
1.0%
1945 1
1.0%
1917 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1617.0198
Minimum8
Maximum3222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:46.702254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile50
Q1948
median1891
Q32397
95-th percentile2920
Maximum3222
Range3214
Interquartile range (IQR)1449

Descriptive statistics

Standard deviation917.54819
Coefficient of variation (CV)0.56743163
Kurtosis-1.0756353
Mean1617.0198
Median Absolute Deviation (MAD)732
Skewness-0.29790535
Sum163319
Variance841894.68
MonotonicityNot monotonic
2023-09-29T01:30:47.559299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2072 3
 
3.0%
940 1
 
1.0%
2157 1
 
1.0%
1424 1
 
1.0%
1456 1
 
1.0%
1650 1
 
1.0%
1925 1
 
1.0%
1580 1
 
1.0%
1492 1
 
1.0%
1265 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
11 1
1.0%
20 1
1.0%
25 1
1.0%
37 1
1.0%
50 1
1.0%
53 1
1.0%
56 1
1.0%
104 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
3222 1
1.0%
3204 1
1.0%
3023 1
1.0%
2959 1
1.0%
2928 1
1.0%
2920 1
1.0%
2765 1
1.0%
2739 1
1.0%
2678 1
1.0%
2668 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean788.77228
Minimum2
Maximum1473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:48.881799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1476
median896
Q31201
95-th percentile1382
Maximum1473
Range1471
Interquartile range (IQR)725

Descriptive statistics

Standard deviation468.86143
Coefficient of variation (CV)0.59441925
Kurtosis-1.2235196
Mean788.77228
Median Absolute Deviation (MAD)374
Skewness-0.33020399
Sum79666
Variance219831.04
MonotonicityNot monotonic
2023-09-29T01:30:49.464991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1113 2
 
2.0%
530 2
 
2.0%
4 2
 
2.0%
1345 2
 
2.0%
1149 2
 
2.0%
896 1
 
1.0%
594 1
 
1.0%
597 1
 
1.0%
723 1
 
1.0%
862 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 2
2.0%
6 1
1.0%
9 1
1.0%
12 1
1.0%
16 1
1.0%
24 1
1.0%
27 1
1.0%
30 1
1.0%
ValueCountFrequency (%)
1473 1
1.0%
1462 1
1.0%
1444 1
1.0%
1419 1
1.0%
1418 1
1.0%
1382 1
1.0%
1351 1
1.0%
1345 2
2.0%
1342 1
1.0%
1341 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.24752
Minimum6
Maximum1749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:50.324662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37
Q1462
median919
Q31201
95-th percentile1502
Maximum1749
Range1743
Interquartile range (IQR)739

Descriptive statistics

Standard deviation458.60812
Coefficient of variation (CV)0.55370901
Kurtosis-0.90179404
Mean828.24752
Median Absolute Deviation (MAD)372
Skewness-0.20647302
Sum83653
Variance210321.41
MonotonicityNot monotonic
2023-09-29T01:30:51.365684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
959 2
 
2.0%
1461 2
 
2.0%
1204 1
 
1.0%
729 1
 
1.0%
830 1
 
1.0%
859 1
 
1.0%
927 1
 
1.0%
1063 1
 
1.0%
910 1
 
1.0%
835 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
6 1
1.0%
8 1
1.0%
16 1
1.0%
19 1
1.0%
28 1
1.0%
37 1
1.0%
44 1
1.0%
46 1
1.0%
77 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
1749 1
1.0%
1742 1
1.0%
1579 1
1.0%
1577 1
1.0%
1509 1
1.0%
1502 1
1.0%
1461 2
2.0%
1387 1
1.0%
1362 1
1.0%
1340 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4393.0495
Minimum11
Maximum8944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:51.905422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile61
Q12111
median4584
Q36605
95-th percentile8387
Maximum8944
Range8933
Interquartile range (IQR)4494

Descriptive statistics

Standard deviation2698.0813
Coefficient of variation (CV)0.61417048
Kurtosis-1.1110161
Mean4393.0495
Median Absolute Deviation (MAD)2147
Skewness-0.21511234
Sum443698
Variance7279642.7
MonotonicityNot monotonic
2023-09-29T01:30:52.518796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6848 2
 
2.0%
3626 1
 
1.0%
1878 1
 
1.0%
2459 1
 
1.0%
2392 1
 
1.0%
2764 1
 
1.0%
3367 1
 
1.0%
2623 1
 
1.0%
2649 1
 
1.0%
2111 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
16 1
1.0%
23 1
1.0%
29 1
1.0%
53 1
1.0%
61 1
1.0%
88 1
1.0%
109 1
1.0%
141 1
1.0%
169 1
1.0%
ValueCountFrequency (%)
8944 1
1.0%
8765 1
1.0%
8702 1
1.0%
8644 1
1.0%
8528 1
1.0%
8387 1
1.0%
8150 1
1.0%
8086 1
1.0%
8045 1
1.0%
7981 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2200.2277
Minimum1
Maximum4535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:53.242063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1985
median2399
Q33406
95-th percentile4125
Maximum4535
Range4534
Interquartile range (IQR)2421

Descriptive statistics

Standard deviation1414.1542
Coefficient of variation (CV)0.64273086
Kurtosis-1.2506446
Mean2200.2277
Median Absolute Deviation (MAD)1154
Skewness-0.25779989
Sum222223
Variance1999832.2
MonotonicityNot monotonic
2023-09-29T01:30:53.975101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2226 2
 
2.0%
1869 1
 
1.0%
1781 1
 
1.0%
1029 1
 
1.0%
985 1
 
1.0%
1191 1
 
1.0%
1555 1
 
1.0%
1099 1
 
1.0%
1095 1
 
1.0%
989 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
15 1
1.0%
17 1
1.0%
18 1
1.0%
28 1
1.0%
33 1
1.0%
ValueCountFrequency (%)
4535 1
1.0%
4380 1
1.0%
4377 1
1.0%
4293 1
1.0%
4181 1
1.0%
4125 1
1.0%
4102 1
1.0%
4047 1
1.0%
4033 1
1.0%
3977 1
1.0%

북구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192.8218
Minimum10
Maximum4409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:54.445384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile48
Q11225
median2226
Q33100
95-th percentile4322
Maximum4409
Range4399
Interquartile range (IQR)1875

Descriptive statistics

Standard deviation1296.5631
Coefficient of variation (CV)0.59127608
Kurtosis-0.94513403
Mean2192.8218
Median Absolute Deviation (MAD)917
Skewness-0.14430682
Sum221475
Variance1681075.8
MonotonicityNot monotonic
2023-09-29T01:30:54.896415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2029 2
 
2.0%
3100 2
 
2.0%
1757 1
 
1.0%
2069 1
 
1.0%
1430 1
 
1.0%
1407 1
 
1.0%
1573 1
 
1.0%
1812 1
 
1.0%
1524 1
 
1.0%
1554 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
10 1
1.0%
13 1
1.0%
16 1
1.0%
25 1
1.0%
46 1
1.0%
48 1
1.0%
71 1
1.0%
91 1
1.0%
113 1
1.0%
136 1
1.0%
ValueCountFrequency (%)
4409 1
1.0%
4388 1
1.0%
4351 1
1.0%
4347 1
1.0%
4340 1
1.0%
4322 1
1.0%
4153 1
1.0%
4117 1
1.0%
4011 1
1.0%
3984 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4508.2475
Minimum17
Maximum9813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:55.661506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile68
Q12309
median4561
Q36787
95-th percentile8676
Maximum9813
Range9796
Interquartile range (IQR)4478

Descriptive statistics

Standard deviation2823.109
Coefficient of variation (CV)0.62620984
Kurtosis-1.059235
Mean4508.2475
Median Absolute Deviation (MAD)2252
Skewness-0.015000357
Sum455333
Variance7969944.3
MonotonicityNot monotonic
2023-09-29T01:30:56.393337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2532 1
 
1.0%
3824 1
 
1.0%
2539 1
 
1.0%
2896 1
 
1.0%
3467 1
 
1.0%
2937 1
 
1.0%
2750 1
 
1.0%
2309 1
 
1.0%
3012 1
 
1.0%
3712 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
20 1
1.0%
39 1
1.0%
47 1
1.0%
67 1
1.0%
68 1
1.0%
80 1
1.0%
163 1
1.0%
191 1
1.0%
226 1
1.0%
ValueCountFrequency (%)
9813 1
1.0%
9635 1
1.0%
9595 1
1.0%
9293 1
1.0%
9208 1
1.0%
8676 1
1.0%
8446 1
1.0%
8352 1
1.0%
8262 1
1.0%
8232 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2206.7723
Minimum3
Maximum4700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:57.020944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q11052
median2327
Q33528
95-th percentile4283
Maximum4700
Range4697
Interquartile range (IQR)2476

Descriptive statistics

Standard deviation1442.6577
Coefficient of variation (CV)0.65374107
Kurtosis-1.2146036
Mean2206.7723
Median Absolute Deviation (MAD)1250
Skewness-0.06186244
Sum222884
Variance2081261.1
MonotonicityNot monotonic
2023-09-29T01:30:57.759093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1291 1
 
1.0%
1774 1
 
1.0%
1077 1
 
1.0%
1237 1
 
1.0%
1568 1
 
1.0%
1274 1
 
1.0%
1244 1
 
1.0%
1052 1
 
1.0%
1385 1
 
1.0%
1699 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
10 1
1.0%
11 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
31 1
1.0%
44 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
4700 1
1.0%
4434 1
1.0%
4390 1
1.0%
4367 1
1.0%
4284 1
1.0%
4283 1
1.0%
4252 1
1.0%
4227 1
1.0%
4216 1
1.0%
4179 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2301.4752
Minimum14
Maximum5245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:30:58.768893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile53
Q11296
median2113
Q33309
95-th percentile4841
Maximum5245
Range5231
Interquartile range (IQR)2013

Descriptive statistics

Standard deviation1411.0059
Coefficient of variation (CV)0.61308756
Kurtosis-0.7588585
Mean2301.4752
Median Absolute Deviation (MAD)1001
Skewness0.13574732
Sum232449
Variance1990937.5
MonotonicityNot monotonic
2023-09-29T01:30:59.508971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2062 2
 
2.0%
2050 1
 
1.0%
1487 1
 
1.0%
1462 1
 
1.0%
1659 1
 
1.0%
1899 1
 
1.0%
1663 1
 
1.0%
1506 1
 
1.0%
1257 1
 
1.0%
1627 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
16 1
1.0%
29 1
1.0%
36 1
1.0%
51 1
1.0%
53 1
1.0%
63 1
1.0%
132 1
1.0%
147 1
1.0%
175 1
1.0%
ValueCountFrequency (%)
5245 1
1.0%
5161 1
1.0%
5113 1
1.0%
5041 1
1.0%
4850 1
1.0%
4841 1
1.0%
4704 1
1.0%
4283 1
1.0%
4230 1
1.0%
4220 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6017.6931
Minimum12
Maximum12129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:00.233310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile63
Q12544
median6223
Q39196
95-th percentile11527
Maximum12129
Range12117
Interquartile range (IQR)6652

Descriptive statistics

Standard deviation3822.7589
Coefficient of variation (CV)0.63525321
Kurtosis-1.2581725
Mean6017.6931
Median Absolute Deviation (MAD)3211
Skewness-0.18394122
Sum607787
Variance14613485
MonotonicityNot monotonic
2023-09-29T01:31:00.809299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4886 1
 
1.0%
4815 1
 
1.0%
2691 1
 
1.0%
3219 1
 
1.0%
3882 1
 
1.0%
3085 1
 
1.0%
3102 1
 
1.0%
2544 1
 
1.0%
3680 1
 
1.0%
4390 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
19 1
1.0%
27 1
1.0%
44 1
1.0%
57 1
1.0%
63 1
1.0%
74 1
1.0%
124 1
1.0%
184 1
1.0%
194 1
1.0%
ValueCountFrequency (%)
12129 1
1.0%
11883 1
1.0%
11762 1
1.0%
11736 1
1.0%
11618 1
1.0%
11527 1
1.0%
11449 1
1.0%
11317 1
1.0%
11186 1
1.0%
11131 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2994.5347
Minimum2
Maximum5912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:01.409598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q11098
median3204
Q34679
95-th percentile5503
Maximum5912
Range5910
Interquartile range (IQR)3581

Descriptive statistics

Standard deviation1968.8353
Coefficient of variation (CV)0.65747623
Kurtosis-1.3808589
Mean2994.5347
Median Absolute Deviation (MAD)1806
Skewness-0.25811598
Sum302448
Variance3876312.6
MonotonicityNot monotonic
2023-09-29T01:31:02.132400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5438 2
 
2.0%
2501 1
 
1.0%
2382 1
 
1.0%
1098 1
 
1.0%
1359 1
 
1.0%
1703 1
 
1.0%
1328 1
 
1.0%
1398 1
 
1.0%
1197 1
 
1.0%
1803 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
10 1
1.0%
12 1
1.0%
14 1
1.0%
24 1
1.0%
44 1
1.0%
49 1
1.0%
ValueCountFrequency (%)
5912 1
1.0%
5749 1
1.0%
5717 1
1.0%
5696 1
1.0%
5604 1
1.0%
5503 1
1.0%
5453 1
1.0%
5438 2
2.0%
5431 1
1.0%
5409 1
1.0%

달서구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3023.1584
Minimum10
Maximum6380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:02.774508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile53
Q11535
median2988
Q34485
95-th percentile5971
Maximum6380
Range6370
Interquartile range (IQR)2950

Descriptive statistics

Standard deviation1875.5596
Coefficient of variation (CV)0.6203974
Kurtosis-1.06749
Mean3023.1584
Median Absolute Deviation (MAD)1497
Skewness-0.057044478
Sum305339
Variance3517723.9
MonotonicityNot monotonic
2023-09-29T01:31:03.766917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3381 3
 
3.0%
2385 1
 
1.0%
2453 1
 
1.0%
1676 1
 
1.0%
1593 1
 
1.0%
1860 1
 
1.0%
2179 1
 
1.0%
1757 1
 
1.0%
1704 1
 
1.0%
1347 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
10 1
1.0%
16 1
1.0%
21 1
1.0%
39 1
1.0%
43 1
1.0%
53 1
1.0%
62 1
1.0%
100 1
1.0%
140 1
1.0%
145 1
1.0%
ValueCountFrequency (%)
6380 1
1.0%
6158 1
1.0%
6115 1
1.0%
6019 1
1.0%
6011 1
1.0%
5971 1
1.0%
5899 1
1.0%
5879 1
1.0%
5831 1
1.0%
5755 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1833.6337
Minimum8
Maximum3501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:04.378116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile28
Q1976
median1972
Q32686
95-th percentile3355
Maximum3501
Range3493
Interquartile range (IQR)1710

Descriptive statistics

Standard deviation1090.8047
Coefficient of variation (CV)0.5948869
Kurtosis-1.0809417
Mean1833.6337
Median Absolute Deviation (MAD)905
Skewness-0.25682295
Sum185197
Variance1189854.8
MonotonicityNot monotonic
2023-09-29T01:31:05.160574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1793 1
 
1.0%
1514 1
 
1.0%
1050 1
 
1.0%
1181 1
 
1.0%
1360 1
 
1.0%
1100 1
 
1.0%
1067 1
 
1.0%
908 1
 
1.0%
1116 1
 
1.0%
1420 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
15 1
1.0%
17 1
1.0%
20 1
1.0%
28 1
1.0%
40 1
1.0%
44 1
1.0%
76 1
1.0%
95 1
1.0%
ValueCountFrequency (%)
3501 1
1.0%
3491 1
1.0%
3435 1
1.0%
3427 1
1.0%
3412 1
1.0%
3355 1
1.0%
3345 1
1.0%
3310 1
1.0%
3304 1
1.0%
3281 1
1.0%

달성군 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean937.77228
Minimum1
Maximum1848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:06.044381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q1390
median1045
Q31445
95-th percentile1766
Maximum1848
Range1847
Interquartile range (IQR)1055

Descriptive statistics

Standard deviation594.25607
Coefficient of variation (CV)0.6336891
Kurtosis-1.2378698
Mean937.77228
Median Absolute Deviation (MAD)503
Skewness-0.2742597
Sum94715
Variance353140.28
MonotonicityNot monotonic
2023-09-29T01:31:06.900048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 2
 
2.0%
5 2
 
2.0%
4 2
 
2.0%
1445 2
 
2.0%
1402 2
 
2.0%
1221 2
 
2.0%
761 1
 
1.0%
580 1
 
1.0%
466 1
 
1.0%
518 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 2
2.0%
5 2
2.0%
8 1
1.0%
12 1
1.0%
19 1
1.0%
20 1
1.0%
21 1
1.0%
33 1
1.0%
ValueCountFrequency (%)
1848 1
1.0%
1811 1
1.0%
1802 1
1.0%
1794 1
1.0%
1784 1
1.0%
1766 1
1.0%
1725 1
1.0%
1707 1
1.0%
1704 1
1.0%
1702 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean895.86139
Minimum5
Maximum1689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:31:07.647282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile24
Q1550
median924
Q31260
95-th percentile1622
Maximum1689
Range1684
Interquartile range (IQR)710

Descriptive statistics

Standard deviation503.57635
Coefficient of variation (CV)0.56211414
Kurtosis-0.89254305
Mean895.86139
Median Absolute Deviation (MAD)362
Skewness-0.22204573
Sum90482
Variance253589.14
MonotonicityNot monotonic
2023-09-29T01:31:08.306695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
903 2
 
2.0%
1021 2
 
2.0%
32 2
 
2.0%
753 1
 
1.0%
646 1
 
1.0%
708 1
 
1.0%
780 1
 
1.0%
634 1
 
1.0%
549 1
 
1.0%
468 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
5 1
1.0%
7 1
1.0%
12 1
1.0%
13 1
1.0%
15 1
1.0%
24 1
1.0%
32 2
2.0%
57 1
1.0%
75 1
1.0%
80 1
1.0%
ValueCountFrequency (%)
1689 1
1.0%
1668 1
1.0%
1653 1
1.0%
1643 1
1.0%
1641 1
1.0%
1622 1
1.0%
1608 1
1.0%
1601 1
1.0%
1597 1
1.0%
1596 1
1.0%

Sample

구분총계중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00세1838954327127229371507143011326035299404764643626186917572532129112414886250123851793890903
11세19342551300251300314911512131264866410735675063893197719162700140412965009253224771801900901
22세2169962032729334271763166414037236801041530511430322262077322216741548555628322724212711061021
33세2121954828426432201690153012816136681032550482420622281978331816381680544627632683216810901078
44세215326153043113247168015671262660602924482442427522352040341817451673563028892741216111331028
55세1994545925520429921578141410995545458654414243862198818743598189417045205271224931865938927
66세21098509262247291114791432112054557592349442941612132202940692162190754502898255219551022933
77세230295603092513047151615311243625618100850450445742399217547262409231758432939290420281039989
88세2105848124024126801429125111515595929485304184255222620294404232620785355279025651784923861
99세2100044724520226161358125811395975429655124534139215019894561244821135348274226061785966819
구분총계중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
9191세11286220421633213110815931112487169331362265117519449145952075
9292세97653944139311088814741042777141281131914414718444140761957
9393세70444638112139955104553163710918911633113212424100441232
9494세47835926802060317245044688177180176374126240832
9595세3542271561184329425379285354867165157144328424
9696세23212<NA>12428342451925619294253910294453917413
9797세202141134012282332020416163134711362762115312
9898세13212<NA>1223518161151138237162041619316817
9999세9314311151146<NA>68261111017314122101055
100100세 이상51474155990147682245856124461154668155363105320515