Overview

Dataset statistics

Number of variables28
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.9 KiB
Average record size in memory252.3 B

Variable types

Text1
Numeric27

Dataset

Description2017.7.31.기준 주민등록인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=307775718e5d27c7b3a2&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
총계 남 has unique valuesUnique
총계 여 has unique valuesUnique
서구 여 has unique valuesUnique
북구 계 has unique valuesUnique
북구 남 has unique valuesUnique
북구 여 has unique valuesUnique
수성구 여 has unique valuesUnique
달서구 계 has unique valuesUnique
달서구 남 has unique valuesUnique
달서구 여 has unique valuesUnique

Reproduction

Analysis started2023-12-10 20:48:09.987999
Analysis finished2023-12-10 20:48:10.314206
Duration0.33 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
2023-12-11T05:48:10.659859image/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%
2023-12-11T05:48:11.277123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
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 (%)
101
98.1%
1
 
1.0%
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 (%)
101
98.1%
1
 
1.0%
1
 
1.0%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
101
98.1%
1
 
1.0%
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%
Mean24569.198
Minimum103
Maximum48572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:11.493523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103
5-th percentile593
Q114954
median25989
Q335922
95-th percentile45217
Maximum48572
Range48469
Interquartile range (IQR)20968

Descriptive statistics

Standard deviation14099.371
Coefficient of variation (CV)0.57386369
Kurtosis-0.98922593
Mean24569.198
Median Absolute Deviation (MAD)9947
Skewness-0.27777883
Sum2481489
Variance1.9879225 × 108
MonotonicityNot monotonic
2023-12-11T05:48:11.705850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16406 1
 
1.0%
28412 1
 
1.0%
18617 1
 
1.0%
16692 1
 
1.0%
15713 1
 
1.0%
12390 1
 
1.0%
20307 1
 
1.0%
21914 1
 
1.0%
23732 1
 
1.0%
22997 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
103 1
1.0%
160 1
1.0%
228 1
1.0%
285 1
1.0%
491 1
1.0%
593 1
1.0%
655 1
1.0%
689 1
1.0%
1075 1
1.0%
1273 1
1.0%
ValueCountFrequency (%)
48572 1
1.0%
47031 1
1.0%
45921 1
1.0%
45764 1
1.0%
45316 1
1.0%
45217 1
1.0%
44435 1
1.0%
43964 1
1.0%
43699 1
1.0%
43086 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12191.663
Minimum20
Maximum23713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:11.885741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile132
Q16114
median13054
Q318380
95-th percentile22187
Maximum23713
Range23693
Interquartile range (IQR)12266

Descriptive statistics

Standard deviation7336.7077
Coefficient of variation (CV)0.6017807
Kurtosis-1.1460446
Mean12191.663
Median Absolute Deviation (MAD)5913
Skewness-0.33455699
Sum1231358
Variance53827280
MonotonicityNot monotonic
2023-12-11T05:48:12.109534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8391 1
 
1.0%
13313 1
 
1.0%
8043 1
 
1.0%
7087 1
 
1.0%
6848 1
 
1.0%
5729 1
 
1.0%
9168 1
 
1.0%
10111 1
 
1.0%
10882 1
 
1.0%
10996 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
20 1
1.0%
34 1
1.0%
46 1
1.0%
53 1
1.0%
102 1
1.0%
132 1
1.0%
134 1
1.0%
146 1
1.0%
234 1
1.0%
280 1
1.0%
ValueCountFrequency (%)
23713 1
1.0%
23060 1
1.0%
22662 1
1.0%
22649 1
1.0%
22210 1
1.0%
22187 1
1.0%
21782 1
1.0%
21623 1
1.0%
21351 1
1.0%
21308 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12377.535
Minimum83
Maximum24859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:12.648128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile461
Q18297
median12250
Q317627
95-th percentile23106
Maximum24859
Range24776
Interquartile range (IQR)9330

Descriptive statistics

Standard deviation6846.2332
Coefficient of variation (CV)0.55311767
Kurtosis-0.81927432
Mean12377.535
Median Absolute Deviation (MAD)4999
Skewness-0.19052416
Sum1250131
Variance46870909
MonotonicityNot monotonic
2023-12-11T05:48:12.820323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8015 1
 
1.0%
15099 1
 
1.0%
10574 1
 
1.0%
9605 1
 
1.0%
8865 1
 
1.0%
6661 1
 
1.0%
11139 1
 
1.0%
11803 1
 
1.0%
12850 1
 
1.0%
12001 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
83 1
1.0%
126 1
1.0%
182 1
1.0%
232 1
1.0%
389 1
1.0%
461 1
1.0%
521 1
1.0%
543 1
1.0%
841 1
1.0%
993 1
1.0%
ValueCountFrequency (%)
24859 1
1.0%
23971 1
1.0%
23435 1
1.0%
23259 1
1.0%
23115 1
1.0%
23106 1
1.0%
22348 1
1.0%
22341 1
1.0%
22248 1
1.0%
21965 1
1.0%

중구 계
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779.46535
Minimum8
Maximum1399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:12.986986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile33
Q1494
median873
Q31157
95-th percentile1286
Maximum1399
Range1391
Interquartile range (IQR)663

Descriptive statistics

Standard deviation412.09078
Coefficient of variation (CV)0.5286839
Kurtosis-1.03953
Mean779.46535
Median Absolute Deviation (MAD)333
Skewness-0.42912635
Sum78726
Variance169818.81
MonotonicityNot monotonic
2023-12-11T05:48:13.176749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2
 
2.0%
20 2
 
2.0%
932 2
 
2.0%
1069 2
 
2.0%
1230 2
 
2.0%
562 1
 
1.0%
1041 1
 
1.0%
892 1
 
1.0%
716 1
 
1.0%
614 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
8 2
2.0%
20 2
2.0%
31 1
1.0%
33 1
1.0%
42 1
1.0%
63 1
1.0%
66 1
1.0%
87 1
1.0%
111 1
1.0%
138 1
1.0%
ValueCountFrequency (%)
1399 1
1.0%
1396 1
1.0%
1299 1
1.0%
1292 1
1.0%
1287 1
1.0%
1286 1
1.0%
1270 1
1.0%
1268 1
1.0%
1261 1
1.0%
1258 1
1.0%

중구 남
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.69307
Minimum1
Maximum681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:13.351409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1254
median386
Q3578
95-th percentile645
Maximum681
Range680
Interquartile range (IQR)324

Descriptive statistics

Standard deviation214.26706
Coefficient of variation (CV)0.56580667
Kurtosis-1.1044651
Mean378.69307
Median Absolute Deviation (MAD)180
Skewness-0.37172314
Sum38248
Variance45910.375
MonotonicityNot monotonic
2023-12-11T05:48:13.529703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
293 2
 
2.0%
204 2
 
2.0%
512 2
 
2.0%
606 2
 
2.0%
617 2
 
2.0%
546 2
 
2.0%
9 2
 
2.0%
640 2
 
2.0%
257 2
 
2.0%
254 2
 
2.0%
Other values (80) 81
80.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
5 1
1.0%
8 1
1.0%
9 2
2.0%
11 1
1.0%
16 2
2.0%
23 1
1.0%
35 1
1.0%
ValueCountFrequency (%)
681 1
1.0%
675 1
1.0%
673 1
1.0%
651 1
1.0%
646 1
1.0%
645 1
1.0%
640 2
2.0%
639 1
1.0%
636 1
1.0%
630 1
1.0%

중구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.77228
Minimum6
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:13.765850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile26
Q1248
median465
Q3571
95-th percentile648
Maximum750
Range744
Interquartile range (IQR)323

Descriptive statistics

Standard deviation202.14895
Coefficient of variation (CV)0.50439853
Kurtosis-0.97769887
Mean400.77228
Median Absolute Deviation (MAD)148
Skewness-0.43961338
Sum40478
Variance40864.198
MonotonicityNot monotonic
2023-12-11T05:48:13.990317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
511 2
 
2.0%
507 2
 
2.0%
594 2
 
2.0%
269 1
 
1.0%
470 1
 
1.0%
489 1
 
1.0%
516 1
 
1.0%
418 1
 
1.0%
357 1
 
1.0%
512 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
11 1
1.0%
17 1
1.0%
24 1
1.0%
26 1
1.0%
34 1
1.0%
50 1
1.0%
52 1
1.0%
71 1
1.0%
ValueCountFrequency (%)
750 1
1.0%
718 1
1.0%
668 1
1.0%
664 1
1.0%
651 1
1.0%
648 1
1.0%
645 1
1.0%
644 1
1.0%
641 1
1.0%
630 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3477.2079
Minimum14
Maximum6936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:14.221712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile96
Q12498
median3619
Q35227
95-th percentile5850
Maximum6936
Range6922
Interquartile range (IQR)2729

Descriptive statistics

Standard deviation1892.9815
Coefficient of variation (CV)0.54439698
Kurtosis-0.85917954
Mean3477.2079
Median Absolute Deviation (MAD)1453
Skewness-0.40049647
Sum351198
Variance3583378.9
MonotonicityNot monotonic
2023-12-11T05:48:14.471613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5617 2
 
2.0%
2569 1
 
1.0%
4521 1
 
1.0%
3213 1
 
1.0%
2869 1
 
1.0%
2788 1
 
1.0%
2152 1
 
1.0%
3458 1
 
1.0%
3721 1
 
1.0%
4076 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
33 1
1.0%
41 1
1.0%
43 1
1.0%
83 1
1.0%
96 1
1.0%
104 1
1.0%
119 1
1.0%
178 1
1.0%
186 1
1.0%
ValueCountFrequency (%)
6936 1
1.0%
6563 1
1.0%
6071 1
1.0%
6027 1
1.0%
5931 1
1.0%
5850 1
1.0%
5848 1
1.0%
5825 1
1.0%
5772 1
1.0%
5696 1
1.0%

동구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725.7822
Minimum4
Maximum3304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:14.743419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q11110
median1858
Q32593
95-th percentile2970
Maximum3304
Range3300
Interquartile range (IQR)1483

Descriptive statistics

Standard deviation987.08957
Coefficient of variation (CV)0.57196649
Kurtosis-1.0173054
Mean1725.7822
Median Absolute Deviation (MAD)746
Skewness-0.44463772
Sum174304
Variance974345.81
MonotonicityNot monotonic
2023-12-11T05:48:14.964368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1438 2
 
2.0%
10 2
 
2.0%
2576 2
 
2.0%
17 2
 
2.0%
2153 2
 
2.0%
1327 1
 
1.0%
2192 1
 
1.0%
1239 1
 
1.0%
1195 1
 
1.0%
987 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
4 1
1.0%
10 2
2.0%
12 1
1.0%
14 1
1.0%
17 2
2.0%
22 1
1.0%
36 1
1.0%
41 1
1.0%
69 1
1.0%
109 1
1.0%
ValueCountFrequency (%)
3304 1
1.0%
3072 1
1.0%
3027 1
1.0%
2984 1
1.0%
2972 1
1.0%
2970 1
1.0%
2953 1
1.0%
2931 1
1.0%
2925 1
1.0%
2906 1
1.0%

동구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1751.4257
Minimum10
Maximum3632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:15.177703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile79
Q11242
median1823
Q32506
95-th percentile2930
Maximum3632
Range3622
Interquartile range (IQR)1264

Descriptive statistics

Standard deviation923.84616
Coefficient of variation (CV)0.52748235
Kurtosis-0.69380314
Mean1751.4257
Median Absolute Deviation (MAD)623
Skewness-0.29467544
Sum176894
Variance853491.73
MonotonicityNot monotonic
2023-12-11T05:48:15.410243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1477 2
 
2.0%
31 2
 
2.0%
1593 2
 
2.0%
1242 1
 
1.0%
2391 1
 
1.0%
1823 1
 
1.0%
1630 1
 
1.0%
1165 1
 
1.0%
1909 1
 
1.0%
1988 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
23 1
1.0%
31 2
2.0%
69 1
1.0%
79 1
1.0%
82 1
1.0%
102 1
1.0%
142 1
1.0%
145 1
1.0%
248 1
1.0%
ValueCountFrequency (%)
3632 1
1.0%
3491 1
1.0%
3165 1
1.0%
3096 1
1.0%
3033 1
1.0%
2930 1
1.0%
2923 1
1.0%
2913 1
1.0%
2904 1
1.0%
2884 1
1.0%

서구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1941.5446
Minimum13
Maximum4681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:15.649913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile59
Q11070
median2101
Q32816
95-th percentile3808
Maximum4681
Range4668
Interquartile range (IQR)1746

Descriptive statistics

Standard deviation1209.0474
Coefficient of variation (CV)0.62272451
Kurtosis-0.90109953
Mean1941.5446
Median Absolute Deviation (MAD)972
Skewness0.067301488
Sum196096
Variance1461795.6
MonotonicityNot monotonic
2023-12-11T05:48:15.964478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 2
 
2.0%
2314 2
 
2.0%
891 1
 
1.0%
2830 1
 
1.0%
1766 1
 
1.0%
1582 1
 
1.0%
1229 1
 
1.0%
2101 1
 
1.0%
2564 1
 
1.0%
2385 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
13 1
1.0%
16 2
2.0%
24 1
1.0%
40 1
1.0%
59 1
1.0%
73 1
1.0%
85 1
1.0%
91 1
1.0%
103 1
1.0%
150 1
1.0%
ValueCountFrequency (%)
4681 1
1.0%
4436 1
1.0%
4045 1
1.0%
4040 1
1.0%
3968 1
1.0%
3808 1
1.0%
3777 1
1.0%
3706 1
1.0%
3606 1
1.0%
3561 1
1.0%

서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean979.59406
Minimum2
Maximum2284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:16.190376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1519
median1068
Q31465
95-th percentile1928
Maximum2284
Range2282
Interquartile range (IQR)946

Descriptive statistics

Standard deviation636.22421
Coefficient of variation (CV)0.64947741
Kurtosis-1.1595103
Mean979.59406
Median Absolute Deviation (MAD)512
Skewness-0.043777686
Sum98939
Variance404781.24
MonotonicityNot monotonic
2023-12-11T05:48:16.410535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
439 1
 
1.0%
1321 1
 
1.0%
737 1
 
1.0%
729 1
 
1.0%
562 1
 
1.0%
927 1
 
1.0%
1068 1
 
1.0%
1203 1
 
1.0%
1185 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 2
2.0%
5 1
1.0%
8 1
1.0%
9 1
1.0%
12 1
1.0%
13 1
1.0%
20 1
1.0%
23 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
2284 1
1.0%
2134 1
1.0%
2036 1
1.0%
2014 1
1.0%
1958 1
1.0%
1928 1
1.0%
1908 1
1.0%
1899 1
1.0%
1849 1
1.0%
1787 1
1.0%

서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean961.9505
Minimum10
Maximum2397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:16.638205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile51
Q1532
median998
Q31275
95-th percentile1878
Maximum2397
Range2387
Interquartile range (IQR)743

Descriptive statistics

Standard deviation585.79803
Coefficient of variation (CV)0.608969
Kurtosis-0.60229388
Mean961.9505
Median Absolute Deviation (MAD)427
Skewness0.23759947
Sum97157
Variance343159.33
MonotonicityNot monotonic
2023-12-11T05:48:16.928082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452 1
 
1.0%
1642 1
 
1.0%
1086 1
 
1.0%
1029 1
 
1.0%
853 1
 
1.0%
667 1
 
1.0%
1174 1
 
1.0%
1246 1
 
1.0%
1361 1
 
1.0%
1200 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
13 1
1.0%
14 1
1.0%
19 1
1.0%
31 1
1.0%
51 1
1.0%
61 1
1.0%
65 1
1.0%
78 1
1.0%
80 1
1.0%
ValueCountFrequency (%)
2397 1
1.0%
2302 1
1.0%
2060 1
1.0%
2026 1
1.0%
2009 1
1.0%
1878 1
1.0%
1850 1
1.0%
1836 1
1.0%
1834 1
1.0%
1827 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1531.1287
Minimum16
Maximum3178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:17.204186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile66
Q1878
median1720
Q32226
95-th percentile2692
Maximum3178
Range3162
Interquartile range (IQR)1348

Descriptive statistics

Standard deviation856.79786
Coefficient of variation (CV)0.55958578
Kurtosis-1.0452355
Mean1531.1287
Median Absolute Deviation (MAD)701
Skewness-0.25446504
Sum154644
Variance734102.57
MonotonicityNot monotonic
2023-12-11T05:48:17.471440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2717 2
 
2.0%
66 2
 
2.0%
733 1
 
1.0%
2308 1
 
1.0%
1515 1
 
1.0%
1354 1
 
1.0%
1138 1
 
1.0%
1856 1
 
1.0%
1898 1
 
1.0%
2046 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
16 1
1.0%
17 1
1.0%
30 1
1.0%
31 1
1.0%
35 1
1.0%
66 2
2.0%
71 1
1.0%
91 1
1.0%
121 1
1.0%
179 1
1.0%
ValueCountFrequency (%)
3178 1
1.0%
3064 1
1.0%
2863 1
1.0%
2717 2
2.0%
2692 1
1.0%
2674 1
1.0%
2605 1
1.0%
2588 1
1.0%
2579 1
1.0%
2574 1
1.0%

남구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean742.9703
Minimum3
Maximum1488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:17.705308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q1421
median828
Q31118
95-th percentile1310
Maximum1488
Range1485
Interquartile range (IQR)697

Descriptive statistics

Standard deviation434.76431
Coefficient of variation (CV)0.58517052
Kurtosis-1.1826081
Mean742.9703
Median Absolute Deviation (MAD)350
Skewness-0.28832062
Sum75040
Variance189020.01
MonotonicityNot monotonic
2023-12-11T05:48:17.938717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1135 3
 
3.0%
1020 2
 
2.0%
382 1
 
1.0%
762 1
 
1.0%
739 1
 
1.0%
729 1
 
1.0%
641 1
 
1.0%
556 1
 
1.0%
502 1
 
1.0%
828 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
8 1
1.0%
11 1
1.0%
16 1
1.0%
17 1
1.0%
21 1
1.0%
23 1
1.0%
ValueCountFrequency (%)
1488 1
1.0%
1423 1
1.0%
1335 1
1.0%
1330 1
1.0%
1328 1
1.0%
1310 1
1.0%
1308 1
1.0%
1288 1
1.0%
1285 1
1.0%
1275 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean788.15842
Minimum13
Maximum1690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:18.183621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile50
Q1432
median883
Q31109
95-th percentile1407
Maximum1690
Range1677
Interquartile range (IQR)677

Descriptive statistics

Standard deviation431.75384
Coefficient of variation (CV)0.54780083
Kurtosis-0.89258225
Mean788.15842
Median Absolute Deviation (MAD)361
Skewness-0.16139916
Sum79604
Variance186411.37
MonotonicityNot monotonic
2023-12-11T05:48:18.420657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
2.0%
1059 2
 
2.0%
351 1
 
1.0%
1179 1
 
1.0%
874 1
 
1.0%
798 1
 
1.0%
636 1
 
1.0%
1028 1
 
1.0%
1146 1
 
1.0%
1010 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
13 2
2.0%
24 1
1.0%
25 1
1.0%
27 1
1.0%
50 1
1.0%
54 1
1.0%
55 1
1.0%
70 1
1.0%
98 1
1.0%
129 1
1.0%
ValueCountFrequency (%)
1690 1
1.0%
1641 1
1.0%
1575 1
1.0%
1418 1
1.0%
1415 1
1.0%
1407 1
1.0%
1387 1
1.0%
1384 1
1.0%
1382 1
1.0%
1308 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4352.1287
Minimum12
Maximum8728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:19.094642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile69
Q12374
median4388
Q36526
95-th percentile8359
Maximum8728
Range8716
Interquartile range (IQR)4152

Descriptive statistics

Standard deviation2592.6981
Coefficient of variation (CV)0.59573103
Kurtosis-1.0289633
Mean4352.1287
Median Absolute Deviation (MAD)2108
Skewness-0.22044174
Sum439565
Variance6722083.6
MonotonicityNot monotonic
2023-12-11T05:48:19.338377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3113 1
 
1.0%
4368 1
 
1.0%
2970 1
 
1.0%
2585 1
 
1.0%
2538 1
 
1.0%
1917 1
 
1.0%
3128 1
 
1.0%
3470 1
 
1.0%
3795 1
 
1.0%
3548 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
24 1
1.0%
34 1
1.0%
45 1
1.0%
68 1
1.0%
69 1
1.0%
86 1
1.0%
106 1
1.0%
145 1
1.0%
187 1
1.0%
ValueCountFrequency (%)
8728 1
1.0%
8682 1
1.0%
8401 1
1.0%
8391 1
1.0%
8376 1
1.0%
8359 1
1.0%
8209 1
1.0%
8080 1
1.0%
7872 1
1.0%
7778 1
1.0%

북구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2175.3663
Minimum2
Maximum4329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:19.666523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1970
median2247
Q33334
95-th percentile4105
Maximum4329
Range4327
Interquartile range (IQR)2364

Descriptive statistics

Standard deviation1359.7087
Coefficient of variation (CV)0.62504816
Kurtosis-1.1918618
Mean2175.3663
Median Absolute Deviation (MAD)1168
Skewness-0.26792354
Sum219712
Variance1848807.8
MonotonicityNot monotonic
2023-12-11T05:48:19.942149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1540 1
 
1.0%
2054 1
 
1.0%
1289 1
 
1.0%
1039 1
 
1.0%
1079 1
 
1.0%
875 1
 
1.0%
1413 1
 
1.0%
1558 1
 
1.0%
1720 1
 
1.0%
1645 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 1
1.0%
8 1
1.0%
12 1
1.0%
14 1
1.0%
16 1
1.0%
19 1
1.0%
32 1
1.0%
37 1
1.0%
ValueCountFrequency (%)
4329 1
1.0%
4303 1
1.0%
4178 1
1.0%
4163 1
1.0%
4144 1
1.0%
4105 1
1.0%
4079 1
1.0%
3969 1
1.0%
3917 1
1.0%
3911 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2176.7624
Minimum10
Maximum4399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:20.168998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile55
Q11404
median2190
Q33137
95-th percentile4223
Maximum4399
Range4389
Interquartile range (IQR)1733

Descriptive statistics

Standard deviation1246.6461
Coefficient of variation (CV)0.57270655
Kurtosis-0.83586311
Mean2176.7624
Median Absolute Deviation (MAD)871
Skewness-0.14165261
Sum219853
Variance1554126.4
MonotonicityNot monotonic
2023-12-11T05:48:20.399771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1573 1
 
1.0%
2314 1
 
1.0%
1681 1
 
1.0%
1546 1
 
1.0%
1459 1
 
1.0%
1042 1
 
1.0%
1715 1
 
1.0%
1912 1
 
1.0%
2075 1
 
1.0%
1903 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
19 1
1.0%
31 1
1.0%
37 1
1.0%
52 1
1.0%
55 1
1.0%
67 1
1.0%
94 1
1.0%
113 1
1.0%
150 1
1.0%
ValueCountFrequency (%)
4399 1
1.0%
4379 1
1.0%
4280 1
1.0%
4271 1
1.0%
4228 1
1.0%
4223 1
1.0%
4163 1
1.0%
4065 1
1.0%
3903 1
1.0%
3867 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4389.901
Minimum17
Maximum9462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:20.652691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile102
Q12343
median4443
Q36589
95-th percentile8682
Maximum9462
Range9445
Interquartile range (IQR)4246

Descriptive statistics

Standard deviation2653.6102
Coefficient of variation (CV)0.60448066
Kurtosis-0.9622307
Mean4389.901
Median Absolute Deviation (MAD)2146
Skewness-0.041977066
Sum443380
Variance7041647.4
MonotonicityNot monotonic
2023-12-11T05:48:20.867212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4697 2
 
2.0%
2099 1
 
1.0%
4443 1
 
1.0%
3174 1
 
1.0%
2866 1
 
1.0%
2600 1
 
1.0%
2056 1
 
1.0%
3385 1
 
1.0%
3599 1
 
1.0%
3747 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
17 1
1.0%
24 1
1.0%
41 1
1.0%
51 1
1.0%
91 1
1.0%
102 1
1.0%
110 1
1.0%
128 1
1.0%
220 1
1.0%
290 1
1.0%
ValueCountFrequency (%)
9462 1
1.0%
9355 1
1.0%
9231 1
1.0%
9054 1
1.0%
8953 1
1.0%
8682 1
1.0%
8237 1
1.0%
8110 1
1.0%
7921 1
1.0%
7854 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2140.1881
Minimum4
Maximum4497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:21.097323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile23
Q11068
median2182
Q33294
95-th percentile4024
Maximum4497
Range4493
Interquartile range (IQR)2226

Descriptive statistics

Standard deviation1345.0555
Coefficient of variation (CV)0.62847535
Kurtosis-1.1457973
Mean2140.1881
Median Absolute Deviation (MAD)1114
Skewness-0.11417976
Sum216159
Variance1809174.2
MonotonicityNot monotonic
2023-12-11T05:48:21.310916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3573 2
 
2.0%
1068 1
 
1.0%
2072 1
 
1.0%
1258 1
 
1.0%
1359 1
 
1.0%
1255 1
 
1.0%
1135 1
 
1.0%
977 1
 
1.0%
1483 1
 
1.0%
1623 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
7 1
1.0%
9 1
1.0%
21 1
1.0%
23 1
1.0%
25 1
1.0%
32 1
1.0%
53 1
1.0%
77 1
1.0%
ValueCountFrequency (%)
4497 1
1.0%
4379 1
1.0%
4375 1
1.0%
4284 1
1.0%
4102 1
1.0%
4024 1
1.0%
3988 1
1.0%
3960 1
1.0%
3911 1
1.0%
3897 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2249.7129
Minimum13
Maximum5087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:21.556278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile79
Q11301
median2227
Q33201
95-th percentile4675
Maximum5087
Range5074
Interquartile range (IQR)1900

Descriptive statistics

Standard deviation1335.7251
Coefficient of variation (CV)0.59373138
Kurtosis-0.67750766
Mean2249.7129
Median Absolute Deviation (MAD)972
Skewness0.11801765
Sum227221
Variance1784161.6
MonotonicityNot monotonic
2023-12-11T05:48:21.779721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1031 1
 
1.0%
2489 1
 
1.0%
1815 1
 
1.0%
1611 1
 
1.0%
1465 1
 
1.0%
1079 1
 
1.0%
1902 1
 
1.0%
1976 1
 
1.0%
2088 1
 
1.0%
2026 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
19 1
1.0%
34 1
1.0%
42 1
1.0%
70 1
1.0%
79 1
1.0%
85 1
1.0%
96 1
1.0%
167 1
1.0%
213 1
1.0%
ValueCountFrequency (%)
5087 1
1.0%
4947 1
1.0%
4858 1
1.0%
4851 1
1.0%
4837 1
1.0%
4675 1
1.0%
4576 1
1.0%
4213 1
1.0%
4131 1
1.0%
4024 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5805.9802
Minimum13
Maximum11917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:22.037500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile88
Q12703
median5967
Q38702
95-th percentile10999
Maximum11917
Range11904
Interquartile range (IQR)5999

Descriptive statistics

Standard deviation3571.9728
Coefficient of variation (CV)0.61522305
Kurtosis-1.1489986
Mean5805.9802
Median Absolute Deviation (MAD)2897
Skewness-0.17258597
Sum586404
Variance12758990
MonotonicityNot monotonic
2023-12-11T05:48:22.312658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3826 1
 
1.0%
6177 1
 
1.0%
3415 1
 
1.0%
3026 1
 
1.0%
2981 1
 
1.0%
2351 1
 
1.0%
4052 1
 
1.0%
4315 1
 
1.0%
4672 1
 
1.0%
4607 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
30 1
1.0%
31 1
1.0%
53 1
1.0%
66 1
1.0%
88 1
1.0%
114 1
1.0%
137 1
1.0%
196 1
1.0%
231 1
1.0%
ValueCountFrequency (%)
11917 1
1.0%
11748 1
1.0%
11376 1
1.0%
11186 1
1.0%
11149 1
1.0%
10999 1
1.0%
10950 1
1.0%
10729 1
1.0%
10726 1
1.0%
10662 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2881.6535
Minimum3
Maximum5865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:22.543634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile19
Q11113
median2925
Q34381
95-th percentile5365
Maximum5865
Range5862
Interquartile range (IQR)3268

Descriptive statistics

Standard deviation1835.002
Coefficient of variation (CV)0.63678788
Kurtosis-1.275591
Mean2881.6535
Median Absolute Deviation (MAD)1612
Skewness-0.25807728
Sum291047
Variance3367232.3
MonotonicityNot monotonic
2023-12-11T05:48:22.756302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008 1
 
1.0%
2925 1
 
1.0%
1461 1
 
1.0%
1299 1
 
1.0%
1313 1
 
1.0%
1113 1
 
1.0%
1899 1
 
1.0%
2055 1
 
1.0%
2202 1
 
1.0%
2243 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
12 1
1.0%
19 1
1.0%
31 1
1.0%
37 1
1.0%
44 1
1.0%
46 1
1.0%
ValueCountFrequency (%)
5865 1
1.0%
5580 1
1.0%
5578 1
1.0%
5447 1
1.0%
5394 1
1.0%
5365 1
1.0%
5282 1
1.0%
5142 1
1.0%
5131 1
1.0%
5127 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2924.3267
Minimum9
Maximum6168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:22.975565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile69
Q11613
median2980
Q34212
95-th percentile5668
Maximum6168
Range6159
Interquartile range (IQR)2599

Descriptive statistics

Standard deviation1757.3905
Coefficient of variation (CV)0.60095557
Kurtosis-0.96730213
Mean2924.3267
Median Absolute Deviation (MAD)1312
Skewness-0.040896564
Sum295357
Variance3088421.2
MonotonicityNot monotonic
2023-12-11T05:48:23.207696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1818 1
 
1.0%
3252 1
 
1.0%
1954 1
 
1.0%
1727 1
 
1.0%
1668 1
 
1.0%
1238 1
 
1.0%
2153 1
 
1.0%
2260 1
 
1.0%
2470 1
 
1.0%
2364 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
24 1
1.0%
27 1
1.0%
47 1
1.0%
54 1
1.0%
69 1
1.0%
83 1
1.0%
100 1
1.0%
152 1
1.0%
185 1
1.0%
ValueCountFrequency (%)
6168 1
1.0%
6052 1
1.0%
5929 1
1.0%
5821 1
1.0%
5755 1
1.0%
5668 1
1.0%
5599 1
1.0%
5598 1
1.0%
5591 1
1.0%
5490 1
1.0%

달성군 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2291.8416
Minimum7
Maximum4691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:23.414102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile43
Q11118
median2613
Q33366
95-th percentile4150
Maximum4691
Range4684
Interquartile range (IQR)2248

Descriptive statistics

Standard deviation1364.0713
Coefficient of variation (CV)0.5951857
Kurtosis-1.0638414
Mean2291.8416
Median Absolute Deviation (MAD)1102
Skewness-0.26878255
Sum231476
Variance1860690.6
MonotonicityNot monotonic
2023-12-11T05:48:23.613734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3639 2
 
2.0%
2464 2
 
2.0%
2613 1
 
1.0%
2212 1
 
1.0%
1235 1
 
1.0%
1344 1
 
1.0%
1173 1
 
1.0%
1154 1
 
1.0%
933 1
 
1.0%
1415 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
11 1
1.0%
15 1
1.0%
18 1
1.0%
26 1
1.0%
43 1
1.0%
47 1
1.0%
57 1
1.0%
83 1
1.0%
97 1
1.0%
ValueCountFrequency (%)
4691 1
1.0%
4666 1
1.0%
4655 1
1.0%
4311 1
1.0%
4167 1
1.0%
4150 1
1.0%
4001 1
1.0%
3963 1
1.0%
3947 1
1.0%
3925 1
1.0%

달성군 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1167.4158
Minimum0
Maximum2448
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:23.830429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1456
median1334
Q31771
95-th percentile2110
Maximum2448
Range2448
Interquartile range (IQR)1315

Descriptive statistics

Standard deviation732.76381
Coefficient of variation (CV)0.6276802
Kurtosis-1.187108
Mean1167.4158
Median Absolute Deviation (MAD)579
Skewness-0.30665447
Sum117909
Variance536942.81
MonotonicityNot monotonic
2023-12-11T05:48:24.065586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
2.0%
9 2
 
2.0%
1334 1
 
1.0%
1341 1
 
1.0%
543 1
 
1.0%
456 1
 
1.0%
669 1
 
1.0%
817 1
 
1.0%
893 1
 
1.0%
880 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
0 1
1.0%
2 2
2.0%
3 1
1.0%
9 2
2.0%
10 1
1.0%
16 1
1.0%
19 1
1.0%
22 1
1.0%
32 1
1.0%
45 1
1.0%
ValueCountFrequency (%)
2448 1
1.0%
2406 1
1.0%
2363 1
1.0%
2124 1
1.0%
2114 1
1.0%
2110 1
1.0%
2098 1
1.0%
2073 1
1.0%
2066 1
1.0%
2062 1
1.0%

달성군 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1124.4257
Minimum7
Maximum2303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:48:24.293793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile33
Q1672
median1198
Q31640
95-th percentile2040
Maximum2303
Range2296
Interquartile range (IQR)968

Descriptive statistics

Standard deviation637.22945
Coefficient of variation (CV)0.56671545
Kurtosis-0.90612253
Mean1124.4257
Median Absolute Deviation (MAD)516
Skewness-0.21532338
Sum113567
Variance406061.37
MonotonicityNot monotonic
2023-12-11T05:48:24.510290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1810 2
 
2.0%
1279 1
 
1.0%
1149 1
 
1.0%
733 1
 
1.0%
762 1
 
1.0%
672 1
 
1.0%
611 1
 
1.0%
477 1
 
1.0%
746 1
 
1.0%
831 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
9 1
1.0%
13 1
1.0%
15 1
1.0%
17 1
1.0%
33 1
1.0%
38 1
1.0%
41 1
1.0%
64 1
1.0%
75 1
1.0%
ValueCountFrequency (%)
2303 1
1.0%
2249 1
1.0%
2243 1
1.0%
2197 1
1.0%
2043 1
1.0%
2040 1
1.0%
2006 1
1.0%
1967 1
1.0%
1913 1
1.0%
1906 1
1.0%

Sample

구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00세1640683918015562293269256913271242891439452733382351311315401573209910681031382620081818261313341279
11세19179979193886013172842976143815381093560533831417414364918511798256413661198444823082140301715341483
22세199891020897816193033163113161115021016535481829421408383619811855277613971379479824642334300214961506
33세198231005897655332712622996151914771109552557853437416380719311876295515301425471823892329285214291423
44세2109810865102335852962893204165715471188590598894452442401620921924331116911620495825462412294215411401
55세2198911218107715743252493247168415631129577552927483444411621012015366918681801534426652679298315151468
66세2214611426107205943022923134161815161154587567860454406413121571974399420431951543628112625284314541389
77세20515106289887494264230291615101406944486458809413396382619911835384119831858518226762506250313051198
88세2086010810100504842602242859148513741063536527879447432391519861929415921821977511626822434238512321153
99세2269411744109505072572503022154514771095563532941500441429522472048478724692318558329092674246412541210
구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
9191세12732809936616501783614210323801212398187371502907721323146185972275
9292세107523484163115218641145911378912170145321132205316719644152831964
9393세689146543339241191710273126166115586196712832961373710047938
9494세6551345214283496177959851711754106129411025851143183571641
9595세4911023893152683146940931358276914551022379881969431033
9696세2855323220317431231245193172445837519425364718315
9797세2284618220911411031163133052534331417343172415213
9898세1603412682633102313310174132451924519303271129
9999세103208381714410162141631312210174131349707
100100세 이상593132461871671104228285206566165068165291217066125426917