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

Description2015.11월말 기준 주민등록 인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571ec2fca7260df_201705311558&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
총계 남 has unique valuesUnique
총계 여 has unique valuesUnique
동구 계 has unique valuesUnique
서구 계 has unique valuesUnique
남구 계 has unique valuesUnique
남구 여 has unique valuesUnique
북구 계 has unique valuesUnique
수성구 남 has unique valuesUnique
달서구 계 has unique valuesUnique
달성군 계 has unique valuesUnique
중구 남 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-09-29 01:19:17.443940
Analysis finished2023-09-29 01:19:18.419738
Duration0.98 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
2023-09-29T01:19:19.028131image/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%
2023-09-29T01:19:21.013235image/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%
Mean24646.921
Minimum108
Maximum47834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:21.966952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile512
Q114551
median24781
Q336588
95-th percentile45751
Maximum47834
Range47726
Interquartile range (IQR)22037

Descriptive statistics

Standard deviation14459.749
Coefficient of variation (CV)0.58667567
Kurtosis-1.0540092
Mean24646.921
Median Absolute Deviation (MAD)11723
Skewness-0.27251249
Sum2489339
Variance2.0908433 × 108
MonotonicityNot monotonic
2023-09-29T01:19:22.800637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18639 1
 
1.0%
22654 1
 
1.0%
16174 1
 
1.0%
19903 1
 
1.0%
17812 1
 
1.0%
16964 1
 
1.0%
14598 1
 
1.0%
14937 1
 
1.0%
21508 1
 
1.0%
23242 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
108 1
1.0%
160 1
1.0%
176 1
1.0%
267 1
1.0%
380 1
1.0%
512 1
1.0%
541 1
1.0%
746 1
1.0%
958 1
1.0%
1115 1
1.0%
ValueCountFrequency (%)
47834 1
1.0%
47598 1
1.0%
46644 1
1.0%
46425 1
1.0%
46401 1
1.0%
45751 1
1.0%
45146 1
1.0%
44721 1
1.0%
43782 1
1.0%
43370 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12257.861
Minimum18
Maximum23573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:23.520611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile87
Q15977
median13151
Q318635
95-th percentile22530
Maximum23573
Range23555
Interquartile range (IQR)12658

Descriptive statistics

Standard deviation7542.4935
Coefficient of variation (CV)0.61531888
Kurtosis-1.2073385
Mean12257.861
Median Absolute Deviation (MAD)5964
Skewness-0.32181537
Sum1238044
Variance56889209
MonotonicityNot monotonic
2023-09-29T01:19:24.071378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9611 1
 
1.0%
10764 1
 
1.0%
6794 1
 
1.0%
8714 1
 
1.0%
7841 1
 
1.0%
7364 1
 
1.0%
6554 1
 
1.0%
7003 1
 
1.0%
9816 1
 
1.0%
10858 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
29 1
1.0%
33 1
1.0%
52 1
1.0%
83 1
1.0%
87 1
1.0%
122 1
1.0%
161 1
1.0%
212 1
1.0%
240 1
1.0%
ValueCountFrequency (%)
23573 1
1.0%
23546 1
1.0%
22903 1
1.0%
22667 1
1.0%
22655 1
1.0%
22530 1
1.0%
22451 1
1.0%
21650 1
1.0%
21637 1
1.0%
21463 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12389.059
Minimum90
Maximum24288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:24.676412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile419
Q18044
median12557
Q317836
95-th percentile23221
Maximum24288
Range24198
Interquartile range (IQR)9792

Descriptive statistics

Standard deviation7002.6243
Coefficient of variation (CV)0.56522647
Kurtosis-0.88030009
Mean12389.059
Median Absolute Deviation (MAD)4943
Skewness-0.18902929
Sum1251295
Variance49036747
MonotonicityNot monotonic
2023-09-29T01:19:25.363735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9028 1
 
1.0%
11890 1
 
1.0%
9380 1
 
1.0%
11189 1
 
1.0%
9971 1
 
1.0%
9600 1
 
1.0%
8044 1
 
1.0%
7934 1
 
1.0%
11692 1
 
1.0%
12384 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
90 1
1.0%
131 1
1.0%
143 1
1.0%
215 1
1.0%
297 1
1.0%
419 1
1.0%
425 1
1.0%
585 1
1.0%
746 1
1.0%
875 1
1.0%
ValueCountFrequency (%)
24288 1
1.0%
24025 1
1.0%
23989 1
1.0%
23758 1
1.0%
23498 1
1.0%
23221 1
1.0%
23084 1
1.0%
22695 1
1.0%
22245 1
1.0%
22132 1
1.0%

중구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798.67327
Minimum9
Maximum1477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:26.027750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile39
Q1505
median872
Q31167
95-th percentile1376
Maximum1477
Range1468
Interquartile range (IQR)662

Descriptive statistics

Standard deviation430.91691
Coefficient of variation (CV)0.53954092
Kurtosis-1.0510385
Mean798.67327
Median Absolute Deviation (MAD)325
Skewness-0.41257858
Sum80666
Variance185689.38
MonotonicityNot monotonic
2023-09-29T01:19:26.993934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1119 2
 
2.0%
1379 2
 
2.0%
79 2
 
2.0%
960 1
 
1.0%
764 1
 
1.0%
996 1
 
1.0%
865 1
 
1.0%
867 1
 
1.0%
708 1
 
1.0%
743 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
11 1
1.0%
13 1
1.0%
26 1
1.0%
39 1
1.0%
42 1
1.0%
63 1
1.0%
65 1
1.0%
79 2
2.0%
ValueCountFrequency (%)
1477 1
1.0%
1425 1
1.0%
1411 1
1.0%
1379 2
2.0%
1376 1
1.0%
1336 1
1.0%
1316 1
1.0%
1312 1
1.0%
1293 1
1.0%
1292 1
1.0%

중구 남
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.83168
Minimum0
Maximum720
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:27.782082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1241
median416
Q3588
95-th percentile674
Maximum720
Range720
Interquartile range (IQR)347

Descriptive statistics

Standard deviation224.86405
Coefficient of variation (CV)0.57682344
Kurtosis-1.13009
Mean389.83168
Median Absolute Deviation (MAD)174
Skewness-0.37190493
Sum39373
Variance50563.841
MonotonicityNot monotonic
2023-09-29T01:19:28.619506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 3
 
3.0%
607 2
 
2.0%
0 2
 
2.0%
635 2
 
2.0%
263 2
 
2.0%
575 2
 
2.0%
241 2
 
2.0%
17 2
 
2.0%
312 1
 
1.0%
305 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
0 2
2.0%
1 1
1.0%
2 1
1.0%
4 1
1.0%
7 1
1.0%
10 1
1.0%
15 1
1.0%
17 2
2.0%
19 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
720 1
1.0%
715 1
1.0%
705 1
1.0%
700 1
1.0%
693 1
1.0%
674 1
1.0%
661 1
1.0%
658 1
1.0%
657 1
1.0%
652 1
1.0%

중구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.84158
Minimum8
Maximum762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:29.254537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile32
Q1252
median469
Q3578
95-th percentile697
Maximum762
Range754
Interquartile range (IQR)326

Descriptive statistics

Standard deviation210.53678
Coefficient of variation (CV)0.5149593
Kurtosis-0.96718507
Mean408.84158
Median Absolute Deviation (MAD)154
Skewness-0.40235067
Sum41293
Variance44325.735
MonotonicityNot monotonic
2023-09-29T01:19:30.060766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263 2
 
2.0%
658 2
 
2.0%
309 2
 
2.0%
11 2
 
2.0%
657 2
 
2.0%
605 2
 
2.0%
316 1
 
1.0%
537 1
 
1.0%
473 1
 
1.0%
502 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
11 2
2.0%
16 1
1.0%
32 1
1.0%
38 1
1.0%
46 1
1.0%
50 1
1.0%
60 1
1.0%
62 1
1.0%
ValueCountFrequency (%)
762 1
1.0%
751 1
1.0%
722 1
1.0%
714 1
1.0%
711 1
1.0%
697 1
1.0%
671 1
1.0%
659 1
1.0%
658 2
2.0%
657 2
2.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3464.198
Minimum25
Maximum6699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:30.688811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile83
Q12494
median3661
Q35327
95-th percentile5951
Maximum6699
Range6674
Interquartile range (IQR)2833

Descriptive statistics

Standard deviation1921.5664
Coefficient of variation (CV)0.55469301
Kurtosis-0.90427502
Mean3464.198
Median Absolute Deviation (MAD)1474
Skewness-0.40101119
Sum349884
Variance3692417.6
MonotonicityNot monotonic
2023-09-29T01:19:31.469329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2981 1
 
1.0%
3795 1
 
1.0%
2843 1
 
1.0%
3379 1
 
1.0%
3109 1
 
1.0%
2947 1
 
1.0%
2542 1
 
1.0%
2568 1
 
1.0%
3653 1
 
1.0%
3932 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
25 1
1.0%
28 1
1.0%
32 1
1.0%
52 1
1.0%
68 1
1.0%
83 1
1.0%
93 1
1.0%
106 1
1.0%
134 1
1.0%
187 1
1.0%
ValueCountFrequency (%)
6699 1
1.0%
6671 1
1.0%
6169 1
1.0%
6073 1
1.0%
5985 1
1.0%
5951 1
1.0%
5837 1
1.0%
5807 1
1.0%
5779 1
1.0%
5664 1
1.0%

동구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.2475
Minimum4
Maximum3187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:32.171596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q11070
median1827
Q32656
95-th percentile2974
Maximum3187
Range3183
Interquartile range (IQR)1586

Descriptive statistics

Standard deviation1005.4581
Coefficient of variation (CV)0.58245302
Kurtosis-1.0546035
Mean1726.2475
Median Absolute Deviation (MAD)791
Skewness-0.44178756
Sum174351
Variance1010945.9
MonotonicityNot monotonic
2023-09-29T01:19:33.268508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 2
 
2.0%
16 2
 
2.0%
1493 2
 
2.0%
15 2
 
2.0%
1547 1
 
1.0%
1284 1
 
1.0%
1144 1
 
1.0%
1196 1
 
1.0%
1710 1
 
1.0%
1827 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
4 1
1.0%
6 1
1.0%
9 1
1.0%
15 2
2.0%
16 2
2.0%
23 1
1.0%
27 1
1.0%
34 1
1.0%
56 1
1.0%
60 1
1.0%
ValueCountFrequency (%)
3187 1
1.0%
3166 1
1.0%
3112 1
1.0%
3106 1
1.0%
2988 1
1.0%
2974 1
1.0%
2964 1
1.0%
2921 1
1.0%
2902 1
1.0%
2901 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1737.9505
Minimum19
Maximum3512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:34.025873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile68
Q11273
median1787
Q32572
95-th percentile3019
Maximum3512
Range3493
Interquartile range (IQR)1299

Descriptive statistics

Standard deviation933.85546
Coefficient of variation (CV)0.53733145
Kurtosis-0.74033009
Mean1737.9505
Median Absolute Deviation (MAD)654
Skewness-0.29582926
Sum175533
Variance872086.03
MonotonicityNot monotonic
2023-09-29T01:19:34.695033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2695 2
 
2.0%
1434 1
 
1.0%
2002 1
 
1.0%
1616 1
 
1.0%
1917 1
 
1.0%
1729 1
 
1.0%
1663 1
 
1.0%
1398 1
 
1.0%
1372 1
 
1.0%
1943 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
19 1
1.0%
21 1
1.0%
26 1
1.0%
36 1
1.0%
52 1
1.0%
68 1
1.0%
78 1
1.0%
83 1
1.0%
107 1
1.0%
153 1
1.0%
ValueCountFrequency (%)
3512 1
1.0%
3505 1
1.0%
3268 1
1.0%
3083 1
1.0%
3024 1
1.0%
3019 1
1.0%
2987 1
1.0%
2967 1
1.0%
2903 1
1.0%
2884 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2045.1089
Minimum14
Maximum4711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:35.901697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile39
Q11128
median2291
Q32960
95-th percentile3848
Maximum4711
Range4697
Interquartile range (IQR)1832

Descriptive statistics

Standard deviation1273.4491
Coefficient of variation (CV)0.62268035
Kurtosis-1.010203
Mean2045.1089
Median Absolute Deviation (MAD)1040
Skewness-0.033289564
Sum206556
Variance1621672.7
MonotonicityNot monotonic
2023-09-29T01:19:39.599697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1125 1
 
1.0%
2469 1
 
1.0%
1650 1
 
1.0%
2080 1
 
1.0%
1902 1
 
1.0%
1850 1
 
1.0%
1497 1
 
1.0%
1549 1
 
1.0%
2291 1
 
1.0%
2559 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
20 1
1.0%
21 1
1.0%
23 1
1.0%
27 1
1.0%
39 1
1.0%
58 1
1.0%
83 1
1.0%
84 1
1.0%
109 1
1.0%
ValueCountFrequency (%)
4711 1
1.0%
4501 1
1.0%
4387 1
1.0%
4324 1
1.0%
3944 1
1.0%
3848 1
1.0%
3838 1
1.0%
3781 1
1.0%
3763 1
1.0%
3756 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1034.5347
Minimum0
Maximum2314
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:40.844413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1565
median1152
Q31607
95-th percentile1963
Maximum2314
Range2314
Interquartile range (IQR)1042

Descriptive statistics

Standard deviation674.51606
Coefficient of variation (CV)0.65199948
Kurtosis-1.2519048
Mean1034.5347
Median Absolute Deviation (MAD)548
Skewness-0.12079674
Sum104488
Variance454971.91
MonotonicityNot monotonic
2023-09-29T01:19:41.652947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
637 2
 
2.0%
4 2
 
2.0%
24 2
 
2.0%
579 1
 
1.0%
1449 1
 
1.0%
794 1
 
1.0%
718 1
 
1.0%
701 1
 
1.0%
1035 1
 
1.0%
1190 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
3 1
1.0%
4 2
2.0%
7 1
1.0%
11 1
1.0%
12 1
1.0%
21 1
1.0%
23 1
1.0%
24 2
2.0%
ValueCountFrequency (%)
2314 1
1.0%
2195 1
1.0%
2167 1
1.0%
2090 1
1.0%
2003 1
1.0%
1963 1
1.0%
1950 1
1.0%
1944 1
1.0%
1930 1
1.0%
1905 1
1.0%

서구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1010.5743
Minimum14
Maximum2397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:42.677626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile32
Q1556
median1086
Q31366
95-th percentile1943
Maximum2397
Range2383
Interquartile range (IQR)810

Descriptive statistics

Standard deviation611.49751
Coefficient of variation (CV)0.60509904
Kurtosis-0.70279258
Mean1010.5743
Median Absolute Deviation (MAD)473
Skewness0.12252327
Sum102068
Variance373929.21
MonotonicityNot monotonic
2023-09-29T01:19:44.320590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1162 2
 
2.0%
649 2
 
2.0%
18 2
 
2.0%
613 2
 
2.0%
1317 1
 
1.0%
942 1
 
1.0%
1038 1
 
1.0%
1056 1
 
1.0%
779 1
 
1.0%
848 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
14 1
1.0%
18 2
2.0%
19 1
1.0%
23 1
1.0%
32 1
1.0%
47 1
1.0%
59 1
1.0%
72 1
1.0%
88 1
1.0%
95 1
1.0%
ValueCountFrequency (%)
2397 1
1.0%
2306 1
1.0%
2234 1
1.0%
2220 1
1.0%
1981 1
1.0%
1943 1
1.0%
1941 1
1.0%
1908 1
1.0%
1907 1
1.0%
1872 1
1.0%

남구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1596.3465
Minimum9
Maximum3153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:44.953228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile49
Q1945
median1817
Q32346
95-th percentile2910
Maximum3153
Range3144
Interquartile range (IQR)1401

Descriptive statistics

Standard deviation899.64956
Coefficient of variation (CV)0.56356783
Kurtosis-1.0651912
Mean1596.3465
Median Absolute Deviation (MAD)703
Skewness-0.29266339
Sum161231
Variance809369.33
MonotonicityNot monotonic
2023-09-29T01:19:46.197962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
958 1
 
1.0%
1974 1
 
1.0%
1581 1
 
1.0%
1817 1
 
1.0%
1697 1
 
1.0%
1510 1
 
1.0%
1319 1
 
1.0%
1411 1
 
1.0%
1921 1
 
1.0%
2086 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
15 1
1.0%
24 1
1.0%
26 1
1.0%
39 1
1.0%
49 1
1.0%
57 1
1.0%
77 1
1.0%
99 1
1.0%
107 1
1.0%
ValueCountFrequency (%)
3153 1
1.0%
3148 1
1.0%
3021 1
1.0%
2943 1
1.0%
2935 1
1.0%
2910 1
1.0%
2734 1
1.0%
2659 1
1.0%
2629 1
1.0%
2626 1
1.0%

남구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.34653
Minimum2
Maximum1496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:47.247554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q1477
median849
Q31197
95-th percentile1371
Maximum1496
Range1494
Interquartile range (IQR)720

Descriptive statistics

Standard deviation459.46583
Coefficient of variation (CV)0.5910695
Kurtosis-1.2164649
Mean777.34653
Median Absolute Deviation (MAD)360
Skewness-0.32108703
Sum78512
Variance211108.85
MonotonicityNot monotonic
2023-09-29T01:19:48.457281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
526 2
 
2.0%
1159 2
 
2.0%
5 2
 
2.0%
473 1
 
1.0%
902 1
 
1.0%
652 1
 
1.0%
826 1
 
1.0%
724 1
 
1.0%
656 1
 
1.0%
553 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 2
2.0%
12 1
1.0%
14 1
1.0%
18 1
1.0%
22 1
1.0%
24 1
1.0%
35 1
1.0%
ValueCountFrequency (%)
1496 1
1.0%
1440 1
1.0%
1414 1
1.0%
1388 1
1.0%
1373 1
1.0%
1371 1
1.0%
1362 1
1.0%
1339 1
1.0%
1332 1
1.0%
1316 1
1.0%

남구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819
Minimum6
Maximum1708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:49.313416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37
Q1462
median925
Q31172
95-th percentile1522
Maximum1708
Range1702
Interquartile range (IQR)710

Descriptive statistics

Standard deviation450.42871
Coefficient of variation (CV)0.549974
Kurtosis-0.89232076
Mean819
Median Absolute Deviation (MAD)350
Skewness-0.20017519
Sum82719
Variance202886.02
MonotonicityNot monotonic
2023-09-29T01:19:50.301798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
485 1
 
1.0%
1094 1
 
1.0%
929 1
 
1.0%
991 1
 
1.0%
973 1
 
1.0%
854 1
 
1.0%
766 1
 
1.0%
788 1
 
1.0%
1072 1
 
1.0%
1155 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
6 1
1.0%
13 1
1.0%
20 1
1.0%
21 1
1.0%
34 1
1.0%
37 1
1.0%
43 1
1.0%
59 1
1.0%
75 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
1708 1
1.0%
1657 1
1.0%
1650 1
1.0%
1562 1
1.0%
1529 1
1.0%
1522 1
1.0%
1424 1
1.0%
1422 1
1.0%
1353 1
1.0%
1339 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4391.5644
Minimum14
Maximum8769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:51.118463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile68
Q12314
median4594
Q36629
95-th percentile8276
Maximum8769
Range8755
Interquartile range (IQR)4315

Descriptive statistics

Standard deviation2668.5951
Coefficient of variation (CV)0.6076639
Kurtosis-1.0888316
Mean4391.5644
Median Absolute Deviation (MAD)2153
Skewness-0.22824438
Sum443548
Variance7121400
MonotonicityNot monotonic
2023-09-29T01:19:52.199703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3742 1
 
1.0%
3564 1
 
1.0%
2601 1
 
1.0%
3211 1
 
1.0%
2757 1
 
1.0%
2721 1
 
1.0%
2287 1
 
1.0%
2314 1
 
1.0%
3305 1
 
1.0%
3689 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
17 1
1.0%
25 1
1.0%
36 1
1.0%
64 1
1.0%
68 1
1.0%
73 1
1.0%
104 1
1.0%
147 1
1.0%
152 1
1.0%
ValueCountFrequency (%)
8769 1
1.0%
8694 1
1.0%
8655 1
1.0%
8644 1
1.0%
8523 1
1.0%
8276 1
1.0%
8239 1
1.0%
8134 1
1.0%
8078 1
1.0%
7915 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2197.9604
Minimum3
Maximum4463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:52.880476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q1978
median2377
Q33389
95-th percentile4135
Maximum4463
Range4460
Interquartile range (IQR)2411

Descriptive statistics

Standard deviation1399.1336
Coefficient of variation (CV)0.63655999
Kurtosis-1.2319863
Mean2197.9604
Median Absolute Deviation (MAD)1161
Skewness-0.26863501
Sum221994
Variance1957574.9
MonotonicityNot monotonic
2023-09-29T01:19:53.967455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
1960 1
 
1.0%
2216 1
 
1.0%
1446 1
 
1.0%
1189 1
 
1.0%
1109 1
 
1.0%
1019 1
 
1.0%
1093 1
 
1.0%
1488 1
 
1.0%
1700 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 2
2.0%
6 1
1.0%
10 1
1.0%
13 1
1.0%
16 1
1.0%
20 1
1.0%
22 1
1.0%
33 1
1.0%
53 1
1.0%
ValueCountFrequency (%)
4463 1
1.0%
4335 1
1.0%
4304 1
1.0%
4291 1
1.0%
4236 1
1.0%
4135 1
1.0%
4050 1
1.0%
4018 1
1.0%
3980 1
1.0%
3964 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2193.604
Minimum11
Maximum4403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:54.683489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile55
Q11268
median2266
Q33107
95-th percentile4226
Maximum4403
Range4392
Interquartile range (IQR)1839

Descriptive statistics

Standard deviation1282.12
Coefficient of variation (CV)0.58448109
Kurtosis-0.92031852
Mean2193.604
Median Absolute Deviation (MAD)916
Skewness-0.16053199
Sum221554
Variance1643831.8
MonotonicityNot monotonic
2023-09-29T01:19:55.717765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2851 2
 
2.0%
1782 1
 
1.0%
1191 1
 
1.0%
1403 1
 
1.0%
1523 1
 
1.0%
1765 1
 
1.0%
1568 1
 
1.0%
1612 1
 
1.0%
1268 1
 
1.0%
1221 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
13 1
1.0%
21 1
1.0%
30 1
1.0%
48 1
1.0%
55 1
1.0%
63 1
1.0%
82 1
1.0%
119 1
1.0%
127 1
1.0%
ValueCountFrequency (%)
4403 1
1.0%
4351 1
1.0%
4309 1
1.0%
4306 1
1.0%
4287 1
1.0%
4226 1
1.0%
4170 1
1.0%
4104 1
1.0%
4098 1
1.0%
3993 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4475.505
Minimum15
Maximum9620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:56.418851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile75
Q12474
median4530
Q36772
95-th percentile8831
Maximum9620
Range9605
Interquartile range (IQR)4298

Descriptive statistics

Standard deviation2775.0543
Coefficient of variation (CV)0.62005391
Kurtosis-1.0292955
Mean4475.505
Median Absolute Deviation (MAD)2160
Skewness-0.021380341
Sum452026
Variance7700926.6
MonotonicityNot monotonic
2023-09-29T01:19:57.142561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4787 2
 
2.0%
2514 1
 
1.0%
3846 1
 
1.0%
2451 1
 
1.0%
2717 1
 
1.0%
3292 1
 
1.0%
3105 1
 
1.0%
2819 1
 
1.0%
2481 1
 
1.0%
2474 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
30 1
1.0%
41 1
1.0%
51 1
1.0%
68 1
1.0%
75 1
1.0%
102 1
1.0%
151 1
1.0%
185 1
1.0%
203 1
1.0%
ValueCountFrequency (%)
9620 1
1.0%
9612 1
1.0%
9577 1
1.0%
9465 1
1.0%
8920 1
1.0%
8831 1
1.0%
8393 1
1.0%
8182 1
1.0%
8016 1
1.0%
7995 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2188.4257
Minimum3
Maximum4612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:58.080410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11054
median2291
Q33447
95-th percentile4193
Maximum4612
Range4609
Interquartile range (IQR)2393

Descriptive statistics

Standard deviation1415.1838
Coefficient of variation (CV)0.64666749
Kurtosis-1.1997096
Mean2188.4257
Median Absolute Deviation (MAD)1234
Skewness-0.077640458
Sum221031
Variance2002745.1
MonotonicityNot monotonic
2023-09-29T01:19:58.775656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1303 1
 
1.0%
1689 1
 
1.0%
1150 1
 
1.0%
1479 1
 
1.0%
1360 1
 
1.0%
1248 1
 
1.0%
1102 1
 
1.0%
1174 1
 
1.0%
1626 1
 
1.0%
1718 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
6 1
1.0%
7 1
1.0%
10 1
1.0%
14 1
1.0%
15 1
1.0%
18 1
1.0%
33 1
1.0%
44 1
1.0%
50 1
1.0%
ValueCountFrequency (%)
4612 1
1.0%
4495 1
1.0%
4405 1
1.0%
4359 1
1.0%
4257 1
1.0%
4193 1
1.0%
4148 1
1.0%
4140 1
1.0%
4092 1
1.0%
4090 1
1.0%

수성구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2287.0792
Minimum12
Maximum5172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:19:59.454363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile57
Q11341
median2132
Q33247
95-th percentile4793
Maximum5172
Range5160
Interquartile range (IQR)1906

Descriptive statistics

Standard deviation1389.141
Coefficient of variation (CV)0.6073865
Kurtosis-0.72484527
Mean2287.0792
Median Absolute Deviation (MAD)978
Skewness0.13440453
Sum230995
Variance1929712.8
MonotonicityNot monotonic
2023-09-29T01:20:00.218700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2733 3
 
3.0%
2401 2
 
2.0%
1211 1
 
1.0%
1431 1
 
1.0%
1567 1
 
1.0%
1813 1
 
1.0%
1745 1
 
1.0%
1571 1
 
1.0%
1379 1
 
1.0%
1300 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
12 1
1.0%
23 1
1.0%
35 1
1.0%
41 1
1.0%
54 1
1.0%
57 1
1.0%
87 1
1.0%
118 1
1.0%
135 1
1.0%
159 1
1.0%
ValueCountFrequency (%)
5172 1
1.0%
5117 1
1.0%
5106 1
1.0%
5008 1
1.0%
4873 1
1.0%
4793 1
1.0%
4663 1
1.0%
4361 1
1.0%
4181 1
1.0%
4060 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5980.1188
Minimum10
Maximum12130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:01.166995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile69
Q12694
median6181
Q39114
95-th percentile11418
Maximum12130
Range12120
Interquartile range (IQR)6420

Descriptive statistics

Standard deviation3764.4681
Coefficient of variation (CV)0.62949722
Kurtosis-1.2317618
Mean5980.1188
Median Absolute Deviation (MAD)3252
Skewness-0.18569196
Sum603992
Variance14171220
MonotonicityNot monotonic
2023-09-29T01:20:01.710359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4801 1
 
1.0%
4807 1
 
1.0%
2906 1
 
1.0%
3764 1
 
1.0%
3231 1
 
1.0%
3130 1
 
1.0%
2766 1
 
1.0%
2899 1
 
1.0%
4300 1
 
1.0%
4584 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
18 1
1.0%
23 1
1.0%
46 1
1.0%
56 1
1.0%
69 1
1.0%
93 1
1.0%
139 1
1.0%
159 1
1.0%
215 1
1.0%
ValueCountFrequency (%)
12130 1
1.0%
11991 1
1.0%
11745 1
1.0%
11571 1
1.0%
11531 1
1.0%
11418 1
1.0%
11359 1
1.0%
11357 1
1.0%
11035 1
1.0%
10687 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2975.3465
Minimum2
Maximum5906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:02.233925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q11075
median3071
Q34670
95-th percentile5493
Maximum5906
Range5904
Interquartile range (IQR)3595

Descriptive statistics

Standard deviation1938.1211
Coefficient of variation (CV)0.65139339
Kurtosis-1.3554878
Mean2975.3465
Median Absolute Deviation (MAD)1794
Skewness-0.262001
Sum300510
Variance3756313.3
MonotonicityNot monotonic
2023-09-29T01:20:02.807945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5038 2
 
2.0%
2442 1
 
1.0%
2376 1
 
1.0%
1214 1
 
1.0%
1584 1
 
1.0%
1440 1
 
1.0%
1391 1
 
1.0%
1249 1
 
1.0%
1431 1
 
1.0%
1986 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 1
1.0%
7 1
1.0%
11 1
1.0%
12 1
1.0%
15 1
1.0%
33 1
1.0%
45 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
5906 1
1.0%
5797 1
1.0%
5641 1
1.0%
5599 1
1.0%
5575 1
1.0%
5493 1
1.0%
5466 1
1.0%
5381 1
1.0%
5373 1
1.0%
5340 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3004.7723
Minimum7
Maximum6333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:03.227874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile58
Q11517
median2998
Q34415
95-th percentile5996
Maximum6333
Range6326
Interquartile range (IQR)2898

Descriptive statistics

Standard deviation1847.7427
Coefficient of variation (CV)0.614936
Kurtosis-1.0428742
Mean3004.7723
Median Absolute Deviation (MAD)1472
Skewness-0.057500138
Sum303482
Variance3414152.9
MonotonicityNot monotonic
2023-09-29T01:20:03.826857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2451 2
 
2.0%
3469 1
 
1.0%
1692 1
 
1.0%
2180 1
 
1.0%
1791 1
 
1.0%
1739 1
 
1.0%
1517 1
 
1.0%
1468 1
 
1.0%
2314 1
 
1.0%
2341 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
16 1
1.0%
18 1
1.0%
39 1
1.0%
41 1
1.0%
58 1
1.0%
81 1
1.0%
106 1
1.0%
114 1
1.0%
164 1
1.0%
ValueCountFrequency (%)
6333 1
1.0%
6146 1
1.0%
6085 1
1.0%
6038 1
1.0%
6037 1
1.0%
5996 1
1.0%
5893 1
1.0%
5825 1
1.0%
5716 1
1.0%
5625 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1895.4059
Minimum8
Maximum3649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:04.704918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile28
Q1998
median2011
Q32754
95-th percentile3422
Maximum3649
Range3641
Interquartile range (IQR)1756

Descriptive statistics

Standard deviation1118.4159
Coefficient of variation (CV)0.59006667
Kurtosis-1.0678835
Mean1895.4059
Median Absolute Deviation (MAD)978
Skewness-0.2747808
Sum191436
Variance1250854
MonotonicityNot monotonic
2023-09-29T01:20:05.439863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1890 1
 
1.0%
1515 1
 
1.0%
1112 1
 
1.0%
1364 1
 
1.0%
1146 1
 
1.0%
1120 1
 
1.0%
998 1
 
1.0%
979 1
 
1.0%
1419 1
 
1.0%
1558 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
12 1
1.0%
13 1
1.0%
20 1
1.0%
21 1
1.0%
28 1
1.0%
34 1
1.0%
69 1
1.0%
79 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
3649 1
1.0%
3602 1
1.0%
3526 1
1.0%
3524 1
1.0%
3427 1
1.0%
3422 1
1.0%
3420 1
1.0%
3418 1
1.0%
3397 1
1.0%
3343 1
1.0%

달성군 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean968.16832
Minimum1
Maximum1920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:06.182453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q1390
median1064
Q31468
95-th percentile1803
Maximum1920
Range1919
Interquartile range (IQR)1078

Descriptive statistics

Standard deviation607.84301
Coefficient of variation (CV)0.62782782
Kurtosis-1.2219827
Mean968.16832
Median Absolute Deviation (MAD)545
Skewness-0.29790807
Sum97785
Variance369473.12
MonotonicityNot monotonic
2023-09-29T01:20:06.722690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1662 2
 
2.0%
995 1
 
1.0%
768 1
 
1.0%
426 1
 
1.0%
553 1
 
1.0%
492 1
 
1.0%
517 1
 
1.0%
464 1
 
1.0%
465 1
 
1.0%
689 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
17 1
1.0%
18 1
1.0%
19 1
1.0%
ValueCountFrequency (%)
1920 1
1.0%
1852 1
1.0%
1848 1
1.0%
1826 1
1.0%
1815 1
1.0%
1803 1
1.0%
1772 1
1.0%
1757 1
1.0%
1746 1
1.0%
1710 1
1.0%

달성군 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean927.23762
Minimum7
Maximum1750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:07.253938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile22
Q1569
median970
Q31306
95-th percentile1678
Maximum1750
Range1743
Interquartile range (IQR)737

Descriptive statistics

Standard deviation517.229
Coefficient of variation (CV)0.5578171
Kurtosis-0.87799805
Mean927.23762
Median Absolute Deviation (MAD)401
Skewness-0.23497373
Sum93651
Variance267525.84
MonotonicityNot monotonic
2023-09-29T01:20:07.821134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
811 2
 
2.0%
1058 2
 
2.0%
1306 2
 
2.0%
954 2
 
2.0%
783 1
 
1.0%
661 1
 
1.0%
626 1
 
1.0%
686 1
 
1.0%
654 1
 
1.0%
603 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
9 1
1.0%
14 1
1.0%
18 1
1.0%
22 1
1.0%
25 1
1.0%
52 1
1.0%
60 1
1.0%
67 1
1.0%
ValueCountFrequency (%)
1750 1
1.0%
1729 1
1.0%
1728 1
1.0%
1720 1
1.0%
1698 1
1.0%
1678 1
1.0%
1655 1
1.0%
1652 1
1.0%
1633 1
1.0%
1623 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
00세186399611902862831231629811547143411255795469584734853742196017822514130312114801244223591890995895
11세195781002295565823192633101157115301191620571978501477387219721900280114411360504425932451200910051004
22세1962299729650588307281309615451551125162962298852646239202018190228331444138949422493244920041010994
33세22038113401069864535029534341782165213286796491026510516432122702051343217471685560128632738225111391112
44세2132910924104056052963093183164915341277637640932492440421521612054348817531735540627622644222311741049
55세2126111021102405662892773222169915231145594551928503425416321881975357918191760550728342673215110951056
66세2026910503976648026022028821493138910715265458734494243978202919493817200518125244276824761924973951
77세215291121310316515263252294214931449113658055691548543042502220203043322269206354052839256620341064970
88세228161171211104530300230301715371480119658361399651248445602369219146772413226458292980284920111018993
99세20895108821001349624125526171375124211285655639014994024156214020164530239821325279273625431788928860
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
9191세1115240875651550187341531092188992475152331192034415921551164851867
9292세958212746631746134271078412721072285147201271855013515945114791960
9393세74616158542438106238358114777185910422821513311813933106691752
9494세512874253973283156839732491237731063102158793128134925
9595세38083297261016681652274233953468135568145456154128622
9696세26752215132115216362341926521366305110414673920218
9797세176331439183262621318244202542130723235181239
9898세16029131110112891920218152131431141635182161358
9999세108189010010254211401493617413153121037817
100100세 이상54112241979176293157883245957144364164875185769115821714