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

Description2015.10월말 기준 주민등록 인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=3077757197c10a286a25_201705311600&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:20:38.477046
Analysis finished2023-09-29 01:20:39.684702
Duration1.21 second
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
2023-09-29T01:20:40.534905image/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%
2023-09-29T01:20:42.370135image/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%
Mean24651.95
Minimum107
Maximum48497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:43.275977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile497
Q114403
median25004
Q336463
95-th percentile45757
Maximum48497
Range48390
Interquartile range (IQR)22060

Descriptive statistics

Standard deviation14470.978
Coefficient of variation (CV)0.58701147
Kurtosis-1.0535556
Mean24651.95
Median Absolute Deviation (MAD)11448
Skewness-0.27297209
Sum2489847
Variance2.094092 × 108
MonotonicityNot monotonic
2023-09-29T01:20:44.359781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18624 1
 
1.0%
22466 1
 
1.0%
15995 1
 
1.0%
19741 1
 
1.0%
18034 1
 
1.0%
17228 1
 
1.0%
14946 1
 
1.0%
14368 1
 
1.0%
21403 1
 
1.0%
22902 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
107 1
1.0%
149 1
1.0%
184 1
1.0%
259 1
1.0%
388 1
1.0%
497 1
1.0%
539 1
1.0%
769 1
1.0%
956 1
1.0%
1095 1
1.0%
ValueCountFrequency (%)
48497 1
1.0%
47628 1
1.0%
46506 1
1.0%
46464 1
1.0%
46347 1
1.0%
45757 1
1.0%
44430 1
1.0%
44262 1
1.0%
43788 1
1.0%
43409 1
1.0%

총계 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12261.129
Minimum19
Maximum23820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:46.152151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile91
Q15954
median13345
Q318614
95-th percentile22451
Maximum23820
Range23801
Interquartile range (IQR)12660

Descriptive statistics

Standard deviation7550.3708
Coefficient of variation (CV)0.61579737
Kurtosis-1.2070038
Mean12261.129
Median Absolute Deviation (MAD)5893
Skewness-0.32149548
Sum1238374
Variance57008099
MonotonicityNot monotonic
2023-09-29T01:20:48.291499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21527 2
 
2.0%
9589 1
 
1.0%
10644 1
 
1.0%
6751 1
 
1.0%
8633 1
 
1.0%
7970 1
 
1.0%
7463 1
 
1.0%
6677 1
 
1.0%
6727 1
 
1.0%
9787 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
19 1
1.0%
27 1
1.0%
33 1
1.0%
50 1
1.0%
79 1
1.0%
91 1
1.0%
120 1
1.0%
162 1
1.0%
215 1
1.0%
231 1
1.0%
ValueCountFrequency (%)
23820 1
1.0%
23577 1
1.0%
23002 1
1.0%
22683 1
1.0%
22617 1
1.0%
22451 1
1.0%
22112 1
1.0%
21550 1
1.0%
21527 2
2.0%
21448 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12390.822
Minimum88
Maximum24677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:50.136978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88
5-th percentile406
Q18269
median12469
Q317762
95-th percentile23306
Maximum24677
Range24589
Interquartile range (IQR)9493

Descriptive statistics

Standard deviation7005.4873
Coefficient of variation (CV)0.56537713
Kurtosis-0.88079785
Mean12390.822
Median Absolute Deviation (MAD)4862
Skewness-0.19098338
Sum1251473
Variance49076852
MonotonicityNot monotonic
2023-09-29T01:20:50.996899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9035 1
 
1.0%
11822 1
 
1.0%
9244 1
 
1.0%
11108 1
 
1.0%
10064 1
 
1.0%
9765 1
 
1.0%
8269 1
 
1.0%
7641 1
 
1.0%
11616 1
 
1.0%
12189 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
88 1
1.0%
122 1
1.0%
151 1
1.0%
209 1
1.0%
309 1
1.0%
406 1
1.0%
419 1
1.0%
607 1
1.0%
741 1
1.0%
864 1
1.0%
ValueCountFrequency (%)
24677 1
1.0%
24051 1
1.0%
23889 1
1.0%
23664 1
1.0%
23462 1
1.0%
23306 1
1.0%
22735 1
1.0%
22318 1
1.0%
22238 1
1.0%
22214 1
1.0%

중구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798.77228
Minimum9
Maximum1486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:51.993762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile39
Q1499
median892
Q31156
95-th percentile1379
Maximum1486
Range1477
Interquartile range (IQR)657

Descriptive statistics

Standard deviation430.98559
Coefficient of variation (CV)0.53956002
Kurtosis-1.0399337
Mean798.77228
Median Absolute Deviation (MAD)309
Skewness-0.40864952
Sum80676
Variance185748.58
MonotonicityNot monotonic
2023-09-29T01:20:52.834636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1139 2
 
2.0%
734 2
 
2.0%
622 1
 
1.0%
629 1
 
1.0%
745 1
 
1.0%
973 1
 
1.0%
892 1
 
1.0%
879 1
 
1.0%
722 1
 
1.0%
724 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
12 1
1.0%
13 1
1.0%
26 1
1.0%
39 1
1.0%
41 1
1.0%
61 1
1.0%
67 1
1.0%
79 1
1.0%
ValueCountFrequency (%)
1486 1
1.0%
1429 1
1.0%
1418 1
1.0%
1397 1
1.0%
1380 1
1.0%
1379 1
1.0%
1338 1
1.0%
1332 1
1.0%
1326 1
1.0%
1323 1
1.0%

중구 남
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.0396
Minimum0
Maximum727
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:53.772900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1249
median409
Q3590
95-th percentile673
Maximum727
Range727
Interquartile range (IQR)341

Descriptive statistics

Standard deviation225.42311
Coefficient of variation (CV)0.57794928
Kurtosis-1.1187897
Mean390.0396
Median Absolute Deviation (MAD)177
Skewness-0.35922632
Sum39394
Variance50815.578
MonotonicityNot monotonic
2023-09-29T01:20:54.939945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
722 3
 
3.0%
305 2
 
2.0%
56 2
 
2.0%
0 2
 
2.0%
673 2
 
2.0%
586 2
 
2.0%
435 1
 
1.0%
409 1
 
1.0%
375 1
 
1.0%
306 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
0 2
2.0%
1 1
1.0%
2 1
1.0%
3 1
1.0%
7 1
1.0%
11 1
1.0%
16 1
1.0%
17 1
1.0%
19 1
1.0%
20 1
1.0%
ValueCountFrequency (%)
727 1
 
1.0%
722 3
3.0%
688 1
 
1.0%
673 2
2.0%
671 1
 
1.0%
661 1
 
1.0%
658 1
 
1.0%
649 1
 
1.0%
646 1
 
1.0%
642 1
 
1.0%

중구 여
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.73267
Minimum9
Maximum764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:55.719561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile34
Q1247
median472
Q3577
95-th percentile678
Maximum764
Range755
Interquartile range (IQR)330

Descriptive statistics

Standard deviation210.03709
Coefficient of variation (CV)0.51387398
Kurtosis-0.95617486
Mean408.73267
Median Absolute Deviation (MAD)154
Skewness-0.40786399
Sum41282
Variance44115.578
MonotonicityNot monotonic
2023-09-29T01:20:56.585351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
592 3
 
3.0%
526 2
 
2.0%
11 2
 
2.0%
483 2
 
2.0%
554 2
 
2.0%
427 2
 
2.0%
553 2
 
2.0%
416 2
 
2.0%
573 1
 
1.0%
411 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
11 2
2.0%
15 1
1.0%
34 1
1.0%
36 1
1.0%
45 1
1.0%
48 1
1.0%
62 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
764 1
1.0%
756 1
1.0%
721 1
1.0%
718 1
1.0%
696 1
1.0%
678 1
1.0%
677 1
1.0%
675 1
1.0%
665 1
1.0%
656 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3465.8812
Minimum25
Maximum6750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:57.449964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile79
Q12464
median3657
Q35294
95-th percentile5920
Maximum6750
Range6725
Interquartile range (IQR)2830

Descriptive statistics

Standard deviation1923.8929
Coefficient of variation (CV)0.55509487
Kurtosis-0.89950425
Mean3465.8812
Median Absolute Deviation (MAD)1479
Skewness-0.39995882
Sum350054
Variance3701363.8
MonotonicityNot monotonic
2023-09-29T01:20:58.023941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2839 2
 
2.0%
2989 1
 
1.0%
3790 1
 
1.0%
2547 1
 
1.0%
2806 1
 
1.0%
3344 1
 
1.0%
3135 1
 
1.0%
3001 1
 
1.0%
2596 1
 
1.0%
2464 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
25 1
1.0%
26 1
1.0%
35 1
1.0%
51 1
1.0%
65 1
1.0%
79 1
1.0%
92 1
1.0%
116 1
1.0%
132 1
1.0%
187 1
1.0%
ValueCountFrequency (%)
6750 1
1.0%
6719 1
1.0%
6138 1
1.0%
6119 1
1.0%
5927 1
1.0%
5920 1
1.0%
5836 1
1.0%
5834 1
1.0%
5823 1
1.0%
5693 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1727.703
Minimum4
Maximum3209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:20:58.733960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q11084
median1817
Q32636
95-th percentile2971
Maximum3209
Range3205
Interquartile range (IQR)1552

Descriptive statistics

Standard deviation1007.2301
Coefficient of variation (CV)0.58298799
Kurtosis-1.0532715
Mean1727.703
Median Absolute Deviation (MAD)816
Skewness-0.4410649
Sum174498
Variance1014512.5
MonotonicityNot monotonic
2023-09-29T01:20:59.591205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2971 2
 
2.0%
1545 1
 
1.0%
1773 1
 
1.0%
1222 1
 
1.0%
1443 1
 
1.0%
1407 1
 
1.0%
1301 1
 
1.0%
1165 1
 
1.0%
1143 1
 
1.0%
1699 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
7 1
1.0%
8 1
1.0%
13 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
24 1
1.0%
25 1
1.0%
36 1
1.0%
ValueCountFrequency (%)
3209 1
1.0%
3174 1
1.0%
3129 1
1.0%
3085 1
1.0%
3010 1
1.0%
2971 2
2.0%
2946 1
1.0%
2900 1
1.0%
2895 1
1.0%
2863 1
1.0%

동구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1738.1782
Minimum17
Maximum3545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:00.332855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile62
Q11257
median1773
Q32573
95-th percentile3012
Maximum3545
Range3528
Interquartile range (IQR)1316

Descriptive statistics

Standard deviation934.23691
Coefficient of variation (CV)0.53748051
Kurtosis-0.72955693
Mean1738.1782
Median Absolute Deviation (MAD)681
Skewness-0.29448756
Sum175556
Variance872798.61
MonotonicityNot monotonic
2023-09-29T01:21:01.272910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3012 2
 
2.0%
1773 2
 
2.0%
1321 2
 
2.0%
1444 1
 
1.0%
2268 1
 
1.0%
1402 1
 
1.0%
1463 1
 
1.0%
1584 1
 
1.0%
1901 1
 
1.0%
1728 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
17 1
1.0%
22 1
1.0%
28 1
1.0%
35 1
1.0%
52 1
1.0%
62 1
1.0%
77 1
1.0%
92 1
1.0%
107 1
1.0%
151 1
1.0%
ValueCountFrequency (%)
3545 1
1.0%
3541 1
1.0%
3243 1
1.0%
3057 1
1.0%
3034 1
1.0%
3012 2
2.0%
2936 1
1.0%
2917 1
1.0%
2883 1
1.0%
2881 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2049.3663
Minimum13
Maximum4753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:02.174584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile38
Q11117
median2289
Q32976
95-th percentile3917
Maximum4753
Range4740
Interquartile range (IQR)1859

Descriptive statistics

Standard deviation1276.2552
Coefficient of variation (CV)0.622756
Kurtosis-1.013953
Mean2049.3663
Median Absolute Deviation (MAD)1013
Skewness-0.035393149
Sum206986
Variance1628827.3
MonotonicityNot monotonic
2023-09-29T01:21:02.827101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1117 2
 
2.0%
2381 1
 
1.0%
1424 1
 
1.0%
1625 1
 
1.0%
2075 1
 
1.0%
1919 1
 
1.0%
1878 1
 
1.0%
1543 1
 
1.0%
1464 1
 
1.0%
2271 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
16 1
1.0%
22 1
1.0%
24 1
1.0%
30 1
1.0%
38 1
1.0%
62 1
1.0%
83 1
1.0%
89 1
1.0%
105 1
1.0%
ValueCountFrequency (%)
4753 1
1.0%
4544 1
1.0%
4341 1
1.0%
4255 1
1.0%
3921 1
1.0%
3917 1
1.0%
3828 1
1.0%
3821 1
1.0%
3816 1
1.0%
3755 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1036.9307
Minimum0
Maximum2350
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:03.389897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1570
median1142
Q31624
95-th percentile1992
Maximum2350
Range2350
Interquartile range (IQR)1054

Descriptive statistics

Standard deviation676.44339
Coefficient of variation (CV)0.6523516
Kurtosis-1.2452055
Mean1036.9307
Median Absolute Deviation (MAD)543
Skewness-0.11811448
Sum104730
Variance457575.67
MonotonicityNot monotonic
2023-09-29T01:21:04.128705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
1480 2
 
2.0%
76 2
 
2.0%
584 1
 
1.0%
1142 1
 
1.0%
869 1
 
1.0%
807 1
 
1.0%
737 1
 
1.0%
660 1
 
1.0%
1027 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
0 1
1.0%
1 1
1.0%
3 1
1.0%
4 2
2.0%
7 1
1.0%
12 1
1.0%
13 1
1.0%
18 1
1.0%
24 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
2350 1
1.0%
2229 1
1.0%
2149 1
1.0%
2037 1
1.0%
2032 1
1.0%
1992 1
1.0%
1981 1
1.0%
1961 1
1.0%
1891 1
1.0%
1880 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1012.4356
Minimum13
Maximum2403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:04.979467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile31
Q1565
median1093
Q31379
95-th percentile1929
Maximum2403
Range2390
Interquartile range (IQR)814

Descriptive statistics

Standard deviation612.23638
Coefficient of variation (CV)0.60471635
Kurtosis-0.72397771
Mean1012.4356
Median Absolute Deviation (MAD)473
Skewness0.11297016
Sum102256
Variance374833.39
MonotonicityNot monotonic
2023-09-29T01:21:06.143546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1071 2
 
2.0%
1327 2
 
2.0%
842 2
 
2.0%
533 1
 
1.0%
857 1
 
1.0%
919 1
 
1.0%
1161 1
 
1.0%
1050 1
 
1.0%
806 1
 
1.0%
804 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
13 1
1.0%
15 1
1.0%
19 1
1.0%
20 1
1.0%
26 1
1.0%
31 1
1.0%
49 1
1.0%
59 1
1.0%
77 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
2403 1
1.0%
2315 1
1.0%
2218 1
1.0%
2192 1
1.0%
1977 1
1.0%
1929 1
1.0%
1925 1
1.0%
1892 1
1.0%
1885 1
1.0%
1875 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1599.1386
Minimum8
Maximum3215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:06.908325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile48
Q1943
median1790
Q32346
95-th percentile2877
Maximum3215
Range3207
Interquartile range (IQR)1403

Descriptive statistics

Standard deviation901.28028
Coefficient of variation (CV)0.5636036
Kurtosis-1.0676423
Mean1599.1386
Median Absolute Deviation (MAD)739
Skewness-0.29499265
Sum161513
Variance812306.14
MonotonicityNot monotonic
2023-09-29T01:21:07.623485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2136 2
 
2.0%
2346 2
 
2.0%
936 1
 
1.0%
1966 1
 
1.0%
1573 1
 
1.0%
1790 1
 
1.0%
1729 1
 
1.0%
1541 1
 
1.0%
1344 1
 
1.0%
1362 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
13 1
1.0%
24 1
1.0%
26 1
1.0%
43 1
1.0%
48 1
1.0%
57 1
1.0%
76 1
1.0%
99 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
3215 1
1.0%
3130 1
1.0%
3005 1
1.0%
2914 1
1.0%
2906 1
1.0%
2877 1
1.0%
2729 1
1.0%
2690 1
1.0%
2655 1
1.0%
2629 1
1.0%

남구 남
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778.63366
Minimum2
Maximum1521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:08.340488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q1465
median857
Q31169
95-th percentile1359
Maximum1521
Range1519
Interquartile range (IQR)704

Descriptive statistics

Standard deviation460.51349
Coefficient of variation (CV)0.59143794
Kurtosis-1.220392
Mean778.63366
Median Absolute Deviation (MAD)366
Skewness-0.32199204
Sum78642
Variance212072.67
MonotonicityNot monotonic
2023-09-29T01:21:09.371580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
1277 2
 
2.0%
1276 2
 
2.0%
518 2
 
2.0%
23 2
 
2.0%
570 2
 
2.0%
37 2
 
2.0%
465 1
 
1.0%
867 1
 
1.0%
726 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
2 1
1.0%
3 2
2.0%
5 1
1.0%
6 1
1.0%
12 1
1.0%
14 1
1.0%
18 1
1.0%
23 2
2.0%
37 2
2.0%
63 1
1.0%
ValueCountFrequency (%)
1521 1
1.0%
1420 1
1.0%
1410 1
1.0%
1378 1
1.0%
1364 1
1.0%
1359 1
1.0%
1352 1
1.0%
1340 1
1.0%
1334 1
1.0%
1318 1
1.0%

남구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820.50495
Minimum6
Maximum1710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:10.204178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37
Q1455
median928
Q31158
95-th percentile1496
Maximum1710
Range1704
Interquartile range (IQR)703

Descriptive statistics

Standard deviation451.09956
Coefficient of variation (CV)0.54978286
Kurtosis-0.89557234
Mean820.50495
Median Absolute Deviation (MAD)360
Skewness-0.20385194
Sum82871
Variance203490.81
MonotonicityNot monotonic
2023-09-29T01:21:10.889652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428 2
 
2.0%
21 2
 
2.0%
1296 2
 
2.0%
435 2
 
2.0%
1087 2
 
2.0%
471 1
 
1.0%
969 1
 
1.0%
971 1
 
1.0%
1003 1
 
1.0%
873 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
6 1
1.0%
10 1
1.0%
21 2
2.0%
36 1
1.0%
37 1
1.0%
43 1
1.0%
58 1
1.0%
76 1
1.0%
88 1
1.0%
107 1
1.0%
ValueCountFrequency (%)
1710 1
1.0%
1694 1
1.0%
1627 1
1.0%
1562 1
1.0%
1513 1
1.0%
1496 1
1.0%
1427 1
1.0%
1411 1
1.0%
1364 1
1.0%
1357 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4392.8911
Minimum14
Maximum8771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:11.759911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile67
Q12321
median4607
Q36659
95-th percentile8332
Maximum8771
Range8757
Interquartile range (IQR)4338

Descriptive statistics

Standard deviation2670.5997
Coefficient of variation (CV)0.6079367
Kurtosis-1.089139
Mean4392.8911
Median Absolute Deviation (MAD)2095
Skewness-0.23125164
Sum443682
Variance7132102.8
MonotonicityNot monotonic
2023-09-29T01:21:12.569711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3746 1
 
1.0%
3537 1
 
1.0%
2548 1
 
1.0%
3217 1
 
1.0%
2804 1
 
1.0%
2732 1
 
1.0%
2347 1
 
1.0%
2261 1
 
1.0%
3276 1
 
1.0%
3633 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
17 1
1.0%
21 1
1.0%
37 1
1.0%
64 1
1.0%
67 1
1.0%
77 1
1.0%
104 1
1.0%
143 1
1.0%
145 1
1.0%
ValueCountFrequency (%)
8771 1
1.0%
8728 1
1.0%
8669 1
1.0%
8604 1
1.0%
8489 1
1.0%
8332 1
1.0%
8263 1
1.0%
8207 1
1.0%
7987 1
1.0%
7858 1
1.0%

북구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2199.0693
Minimum3
Maximum4479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:13.415290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q1969
median2342
Q33382
95-th percentile4159
Maximum4479
Range4476
Interquartile range (IQR)2413

Descriptive statistics

Standard deviation1400.1673
Coefficient of variation (CV)0.63670906
Kurtosis-1.232348
Mean2199.0693
Median Absolute Deviation (MAD)1159
Skewness-0.27241151
Sum222106
Variance1960468.6
MonotonicityNot monotonic
2023-09-29T01:21:14.493815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
4298 2
 
2.0%
4001 2
 
2.0%
1970 1
 
1.0%
1665 1
 
1.0%
1443 1
 
1.0%
1230 1
 
1.0%
1103 1
 
1.0%
1038 1
 
1.0%
1055 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 1
1.0%
4 2
2.0%
6 1
1.0%
10 1
1.0%
11 1
1.0%
16 1
1.0%
20 1
1.0%
21 1
1.0%
31 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
4479 1
1.0%
4337 1
1.0%
4298 2
2.0%
4194 1
1.0%
4159 1
1.0%
4061 1
1.0%
4001 2
2.0%
3959 1
1.0%
3923 1
1.0%
3894 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2193.8218
Minimum11
Maximum4391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:15.572912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile57
Q11309
median2274
Q33112
95-th percentile4206
Maximum4391
Range4380
Interquartile range (IQR)1803

Descriptive statistics

Standard deviation1283.0375
Coefficient of variation (CV)0.58484125
Kurtosis-0.92241904
Mean2193.8218
Median Absolute Deviation (MAD)917
Skewness-0.16322028
Sum221576
Variance1646185.1
MonotonicityNot monotonic
2023-09-29T01:21:16.641373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1776 1
 
1.0%
1872 1
 
1.0%
1488 1
 
1.0%
1774 1
 
1.0%
1574 1
 
1.0%
1629 1
 
1.0%
1309 1
 
1.0%
1206 1
 
1.0%
1777 1
 
1.0%
1965 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
13 1
1.0%
17 1
1.0%
31 1
1.0%
48 1
1.0%
57 1
1.0%
66 1
1.0%
84 1
1.0%
112 1
1.0%
124 1
1.0%
ValueCountFrequency (%)
4391 1
1.0%
4371 1
1.0%
4306 1
1.0%
4295 1
1.0%
4292 1
1.0%
4206 1
1.0%
4202 1
1.0%
4173 1
1.0%
4028 1
1.0%
3964 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4471.6436
Minimum15
Maximum9643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:17.379400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile74
Q12448
median4515
Q36858
95-th percentile8814
Maximum9643
Range9628
Interquartile range (IQR)4410

Descriptive statistics

Standard deviation2774.2965
Coefficient of variation (CV)0.62041986
Kurtosis-1.0335287
Mean4471.6436
Median Absolute Deviation (MAD)2159
Skewness-0.022038957
Sum451636
Variance7696721
MonotonicityNot monotonic
2023-09-29T01:21:18.370495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5656 2
 
2.0%
2496 1
 
1.0%
3814 1
 
1.0%
2703 1
 
1.0%
3279 1
 
1.0%
3113 1
 
1.0%
2881 1
 
1.0%
2536 1
 
1.0%
2356 1
 
1.0%
3623 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
32 1
1.0%
40 1
1.0%
46 1
1.0%
73 1
1.0%
74 1
1.0%
91 1
1.0%
158 1
1.0%
189 1
1.0%
202 1
1.0%
ValueCountFrequency (%)
9643 1
1.0%
9580 1
1.0%
9521 1
1.0%
9490 1
1.0%
8825 1
1.0%
8814 1
1.0%
8330 1
1.0%
8178 1
1.0%
8130 1
1.0%
8065 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.2772
Minimum4
Maximum4628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:18.977059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q11040
median2277
Q33477
95-th percentile4201
Maximum4628
Range4624
Interquartile range (IQR)2437

Descriptive statistics

Standard deviation1415.4487
Coefficient of variation (CV)0.64742414
Kurtosis-1.201917
Mean2186.2772
Median Absolute Deviation (MAD)1233
Skewness-0.076346646
Sum220814
Variance2003494.9
MonotonicityNot monotonic
2023-09-29T01:21:20.748469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1279 1
 
1.0%
1684 1
 
1.0%
1145 1
 
1.0%
1468 1
 
1.0%
1359 1
 
1.0%
1287 1
 
1.0%
1109 1
 
1.0%
1125 1
 
1.0%
1612 1
 
1.0%
1712 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
4 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
34 1
1.0%
41 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
4628 1
1.0%
4505 1
1.0%
4411 1
1.0%
4333 1
1.0%
4204 1
1.0%
4201 1
1.0%
4139 1
1.0%
4136 1
1.0%
4078 1
1.0%
4060 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2285.3663
Minimum11
Maximum5169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:22.824648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile57
Q11344
median2145
Q33254
95-th percentile4731
Maximum5169
Range5158
Interquartile range (IQR)1910

Descriptive statistics

Standard deviation1388.3039
Coefficient of variation (CV)0.60747542
Kurtosis-0.73065256
Mean2285.3663
Median Absolute Deviation (MAD)966
Skewness0.1321178
Sum230822
Variance1927387.7
MonotonicityNot monotonic
2023-09-29T01:21:24.403795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 2
 
2.0%
1217 1
 
1.0%
2478 1
 
1.0%
1811 1
 
1.0%
1754 1
 
1.0%
1594 1
 
1.0%
1427 1
 
1.0%
1231 1
 
1.0%
2011 1
 
1.0%
2004 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
25 1
1.0%
34 1
1.0%
38 1
1.0%
57 2
2.0%
76 1
1.0%
124 1
1.0%
138 1
1.0%
161 1
1.0%
242 1
1.0%
ValueCountFrequency (%)
5169 1
1.0%
5157 1
1.0%
5016 1
1.0%
5015 1
1.0%
4877 1
1.0%
4731 1
1.0%
4610 1
1.0%
4490 1
1.0%
4181 1
1.0%
4162 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5987.3762
Minimum11
Maximum12190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:26.066156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile69
Q12703
median6237
Q39094
95-th percentile11331
Maximum12190
Range12179
Interquartile range (IQR)6391

Descriptive statistics

Standard deviation3771.0177
Coefficient of variation (CV)0.62982808
Kurtosis-1.2320905
Mean5987.3762
Median Absolute Deviation (MAD)3253
Skewness-0.18661228
Sum604725
Variance14220574
MonotonicityNot monotonic
2023-09-29T01:21:26.830903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4840 1
 
1.0%
4755 1
 
1.0%
2879 1
 
1.0%
3729 1
 
1.0%
3266 1
 
1.0%
3156 1
 
1.0%
2859 1
 
1.0%
2775 1
 
1.0%
4293 1
 
1.0%
4541 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
19 1
1.0%
25 1
1.0%
43 1
1.0%
56 1
1.0%
69 1
1.0%
92 1
1.0%
145 1
1.0%
161 1
1.0%
202 1
1.0%
ValueCountFrequency (%)
12190 1
1.0%
12050 1
1.0%
11835 1
1.0%
11566 1
1.0%
11508 1
1.0%
11331 1
1.0%
11299 1
1.0%
11142 1
1.0%
11002 1
1.0%
10991 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2978.2178
Minimum2
Maximum6006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:27.405325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q11070
median3108
Q34693
95-th percentile5516
Maximum6006
Range6004
Interquartile range (IQR)3623

Descriptive statistics

Standard deviation1941.5084
Coefficient of variation (CV)0.65190274
Kurtosis-1.3540912
Mean2978.2178
Median Absolute Deviation (MAD)1758
Skewness-0.26119486
Sum300800
Variance3769454.7
MonotonicityNot monotonic
2023-09-29T01:21:28.220774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 2
 
2.0%
2457 1
 
1.0%
3053 1
 
1.0%
1572 1
 
1.0%
1463 1
 
1.0%
1388 1
 
1.0%
1294 1
 
1.0%
1374 1
 
1.0%
1996 1
 
1.0%
2231 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
10 1
1.0%
14 2
2.0%
33 1
1.0%
46 1
1.0%
51 1
1.0%
69 1
1.0%
ValueCountFrequency (%)
6006 1
1.0%
5724 1
1.0%
5643 1
1.0%
5567 1
1.0%
5525 1
1.0%
5516 1
1.0%
5510 1
1.0%
5437 1
1.0%
5381 1
1.0%
5372 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3009.1584
Minimum7
Maximum6326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:29.005038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile59
Q11565
median3031
Q34418
95-th percentile5941
Maximum6326
Range6319
Interquartile range (IQR)2853

Descriptive statistics

Standard deviation1850.7905
Coefficient of variation (CV)0.61505253
Kurtosis-1.04772
Mean3009.1584
Median Absolute Deviation (MAD)1430
Skewness-0.061334942
Sum303925
Variance3425425.5
MonotonicityNot monotonic
2023-09-29T01:21:30.031620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2383 1
 
1.0%
2408 1
 
1.0%
1675 1
 
1.0%
2157 1
 
1.0%
1803 1
 
1.0%
1768 1
 
1.0%
1565 1
 
1.0%
1401 1
 
1.0%
2297 1
 
1.0%
2310 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
7 1
1.0%
17 1
1.0%
20 1
1.0%
36 1
1.0%
42 1
1.0%
59 1
1.0%
78 1
1.0%
112 1
1.0%
115 1
1.0%
151 1
1.0%
ValueCountFrequency (%)
6326 1
1.0%
6192 1
1.0%
6184 1
1.0%
6041 1
1.0%
5950 1
1.0%
5941 1
1.0%
5862 1
1.0%
5786 1
1.0%
5653 1
1.0%
5632 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1886.8812
Minimum8
Maximum3698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:31.250868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile28
Q1999
median2028
Q32740
95-th percentile3428
Maximum3698
Range3690
Interquartile range (IQR)1741

Descriptive statistics

Standard deviation1113.7444
Coefficient of variation (CV)0.59025678
Kurtosis-1.066602
Mean1886.8812
Median Absolute Deviation (MAD)969
Skewness-0.27506038
Sum190575
Variance1240426.6
MonotonicityNot monotonic
2023-09-29T01:21:31.882439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 2
 
2.0%
1878 1
 
1.0%
2069 1
 
1.0%
1334 1
 
1.0%
1176 1
 
1.0%
1160 1
 
1.0%
999 1
 
1.0%
962 1
 
1.0%
1382 1
 
1.0%
1529 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
11 1
1.0%
12 1
1.0%
21 2
2.0%
28 1
1.0%
31 1
1.0%
69 1
1.0%
74 1
1.0%
84 1
1.0%
116 1
1.0%
ValueCountFrequency (%)
3698 1
1.0%
3553 1
1.0%
3489 1
1.0%
3475 1
1.0%
3433 1
1.0%
3428 1
1.0%
3422 1
1.0%
3403 1
1.0%
3363 1
1.0%
3333 1
1.0%

달성군 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean964.25743
Minimum1
Maximum1934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:32.675169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q1378
median1067
Q31448
95-th percentile1802
Maximum1934
Range1933
Interquartile range (IQR)1070

Descriptive statistics

Standard deviation605.72936
Coefficient of variation (CV)0.62818221
Kurtosis-1.2205878
Mean964.25743
Median Absolute Deviation (MAD)533
Skewness-0.29704893
Sum97390
Variance366908.05
MonotonicityNot monotonic
2023-09-29T01:21:33.323849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1627 2
 
2.0%
984 1
 
1.0%
791 1
 
1.0%
378 1
 
1.0%
434 1
 
1.0%
539 1
 
1.0%
507 1
 
1.0%
534 1
 
1.0%
458 1
 
1.0%
465 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
8 1
1.0%
15 1
1.0%
17 1
1.0%
18 1
1.0%
ValueCountFrequency (%)
1934 1
1.0%
1833 1
1.0%
1832 1
1.0%
1826 1
1.0%
1821 1
1.0%
1802 1
1.0%
1744 1
1.0%
1742 1
1.0%
1730 1
1.0%
1702 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean922.62376
Minimum7
Maximum1764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:34.083884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile23
Q1568
median965
Q31292
95-th percentile1649
Maximum1764
Range1757
Interquartile range (IQR)724

Descriptive statistics

Standard deviation514.65724
Coefficient of variation (CV)0.55781919
Kurtosis-0.87751097
Mean922.62376
Median Absolute Deviation (MAD)397
Skewness-0.23665038
Sum93185
Variance264872.08
MonotonicityNot monotonic
2023-09-29T01:21:34.702818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 2
 
2.0%
335 2
 
2.0%
1607 2
 
2.0%
894 1
 
1.0%
739 1
 
1.0%
669 1
 
1.0%
626 1
 
1.0%
541 1
 
1.0%
497 1
 
1.0%
716 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
9 1
1.0%
14 1
1.0%
18 1
1.0%
23 2
2.0%
52 1
1.0%
56 1
1.0%
69 1
1.0%
89 1
1.0%
ValueCountFrequency (%)
1764 1
1.0%
1737 1
1.0%
1720 1
1.0%
1707 1
1.0%
1668 1
1.0%
1649 1
1.0%
1626 1
1.0%
1620 1
1.0%
1619 1
1.0%
1607 2
2.0%

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
00세186249589903562230531729891545144411175845339364654713746197017762496127912174840245723831878984894
11세1952199739548585322263310615721534119762757010114955163848194619022774143013445038259524431962986976
22세199731019097836023192833147159015571276634642995540455401220761936290114781423499325082485204710451002
33세21965112961066964434230234641775168913326796531018517501434022702070335117111640559828772721221811251093
44세2148011049104316142963183196167615201288654634943502441424421962048349217661726548228032679222111561065
55세2094610832101145522822703151165714941117578539907479428411621591957354617941752544928092640210810741034
66세2032610566976049527222329031505139810895455448754474283977203719403803201417895272277724951912969943
77세217961135210444510257253295414931461114958356692849143743252264206143862286210055232911261220211067954
88세22581115671101452829523330041548145611845706149905184724543234222014630239922315725290028251977995982
99세2087210920995249624924726021355124711545895659095014084132213819944515240121145291275525361773932841
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
9191세10952318646116451873615110518871112388143311122024116120251151841569
9292세95621574167194813225107891277992376145211241895113816146115741856
9393세76916260739336116249262134976185810420841583412414533112691752
9494세49791406417347917623873148123677116691157692147831823
9595세38879309261115651352304264363767105773165756144228523
9696세2595020913211511635223192652137631468384373621318
9797세18433151121113572824420243212141732725255201129
9898세14927122100102581716115133101431140634192171248
9999세1071988909264221301382617413154111147817
100100세 이상53912041979176292157783245957144364164874175769105921714