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

Description2018.10.31.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571cbd0e82f48c3&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:05:41.004133
Analysis finished2023-09-29 01:05:43.087595
Duration2.08 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
2023-09-29T01:05:44.708263image/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%
2023-09-29T01:05:48.496277image/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%
Mean24407.376
Minimum120
Maximum46851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:49.257698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile589
Q114202
median24803
Q335424
95-th percentile44997
Maximum46851
Range46731
Interquartile range (IQR)21222

Descriptive statistics

Standard deviation13813.113
Coefficient of variation (CV)0.56594012
Kurtosis-0.96770822
Mean24407.376
Median Absolute Deviation (MAD)10621
Skewness-0.28032375
Sum2465145
Variance1.908021 × 108
MonotonicityNot monotonic
2023-09-29T01:05:50.218761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14177 1
 
1.0%
27924 1
 
1.0%
16332 1
 
1.0%
14202 1
 
1.0%
13760 1
 
1.0%
20489 1
 
1.0%
21903 1
 
1.0%
23369 1
 
1.0%
21929 1
 
1.0%
21629 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
120 1
1.0%
185 1
1.0%
257 1
1.0%
384 1
1.0%
485 1
1.0%
589 1
1.0%
628 1
1.0%
934 1
1.0%
1001 1
1.0%
1638 1
1.0%
ValueCountFrequency (%)
46851 1
1.0%
46677 1
1.0%
45781 1
1.0%
45428 1
1.0%
45061 1
1.0%
44997 1
1.0%
43346 1
1.0%
43285 1
1.0%
43157 1
1.0%
42457 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12092.03
Minimum24
Maximum23074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:51.119833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile110
Q16278
median12961
Q318163
95-th percentile21758
Maximum23074
Range23050
Interquartile range (IQR)11885

Descriptive statistics

Standard deviation7170.2323
Coefficient of variation (CV)0.59297178
Kurtosis-1.1204014
Mean12092.03
Median Absolute Deviation (MAD)5651
Skewness-0.34459868
Sum1221295
Variance51412232
MonotonicityNot monotonic
2023-09-29T01:05:51.845380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7174 1
 
1.0%
13473 1
 
1.0%
6932 1
 
1.0%
6180 1
 
1.0%
6278 1
 
1.0%
9206 1
 
1.0%
10018 1
 
1.0%
10732 1
 
1.0%
10368 1
 
1.0%
10085 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
35 1
1.0%
47 1
1.0%
80 1
1.0%
107 1
1.0%
110 1
1.0%
145 1
1.0%
200 1
1.0%
208 1
1.0%
371 1
1.0%
ValueCountFrequency (%)
23074 1
1.0%
22823 1
1.0%
22603 1
1.0%
22197 1
1.0%
22040 1
1.0%
21758 1
1.0%
21368 1
1.0%
21305 1
1.0%
21025 1
1.0%
20917 1
1.0%

총계 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12315.347
Minimum96
Maximum24028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:53.057004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile479
Q18022
median12159
Q317741
95-th percentile22957
Maximum24028
Range23932
Interquartile range (IQR)9719

Descriptive statistics

Standard deviation6726.1077
Coefficient of variation (CV)0.54615659
Kurtosis-0.80651006
Mean12315.347
Median Absolute Deviation (MAD)4665
Skewness-0.18693222
Sum1243850
Variance45240525
MonotonicityNot monotonic
2023-09-29T01:05:53.893267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21789 2
 
2.0%
7003 1
 
1.0%
14451 1
 
1.0%
9400 1
 
1.0%
8022 1
 
1.0%
7482 1
 
1.0%
11283 1
 
1.0%
11885 1
 
1.0%
12637 1
 
1.0%
11561 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
96 1
1.0%
150 1
1.0%
210 1
1.0%
304 1
1.0%
378 1
1.0%
479 1
1.0%
483 1
1.0%
734 1
1.0%
793 1
1.0%
1267 1
1.0%
ValueCountFrequency (%)
24028 1
1.0%
23603 1
1.0%
23303 1
1.0%
23231 1
1.0%
23178 1
1.0%
22957 1
1.0%
22321 1
1.0%
21980 1
1.0%
21804 1
1.0%
21789 2
2.0%

중구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.66337
Minimum7
Maximum1384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:54.606123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile35
Q1509
median855
Q31160
95-th percentile1300
Maximum1384
Range1377
Interquartile range (IQR)651

Descriptive statistics

Standard deviation412.48441
Coefficient of variation (CV)0.52501418
Kurtosis-1.0269497
Mean785.66337
Median Absolute Deviation (MAD)319
Skewness-0.42144892
Sum79352
Variance170143.39
MonotonicityNot monotonic
2023-09-29T01:05:55.557753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430 2
 
2.0%
1085 2
 
2.0%
1197 2
 
2.0%
539 2
 
2.0%
912 1
 
1.0%
802 1
 
1.0%
649 1
 
1.0%
654 1
 
1.0%
870 1
 
1.0%
936 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
17 1
1.0%
20 1
1.0%
21 1
1.0%
32 1
1.0%
35 1
1.0%
45 1
1.0%
58 1
1.0%
85 1
1.0%
95 1
1.0%
ValueCountFrequency (%)
1384 1
1.0%
1362 1
1.0%
1337 1
1.0%
1327 1
1.0%
1308 1
1.0%
1300 1
1.0%
1299 1
1.0%
1272 1
1.0%
1267 1
1.0%
1265 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.89109
Minimum1
Maximum683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:56.524249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q1245
median383
Q3581
95-th percentile663
Maximum683
Range682
Interquartile range (IQR)336

Descriptive statistics

Standard deviation215.19084
Coefficient of variation (CV)0.56496686
Kurtosis-1.1105908
Mean380.89109
Median Absolute Deviation (MAD)176
Skewness-0.34186157
Sum38470
Variance46307.098
MonotonicityNot monotonic
2023-09-29T01:05:57.346410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
541 3
 
3.0%
71 2
 
2.0%
11 2
 
2.0%
581 2
 
2.0%
549 2
 
2.0%
383 2
 
2.0%
38 2
 
2.0%
636 2
 
2.0%
7 2
 
2.0%
559 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
7 2
2.0%
11 2
2.0%
13 1
1.0%
15 1
1.0%
21 1
1.0%
31 1
1.0%
38 2
2.0%
ValueCountFrequency (%)
683 1
1.0%
675 1
1.0%
674 1
1.0%
665 1
1.0%
664 1
1.0%
663 1
1.0%
658 1
1.0%
652 1
1.0%
648 1
1.0%
638 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.77228
Minimum5
Maximum704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:57.872361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile28
Q1253
median458
Q3569
95-th percentile662
Maximum704
Range699
Interquartile range (IQR)316

Descriptive statistics

Standard deviation201.482
Coefficient of variation (CV)0.49776631
Kurtosis-0.95102984
Mean404.77228
Median Absolute Deviation (MAD)150
Skewness-0.46647655
Sum40882
Variance40594.998
MonotonicityNot monotonic
2023-09-29T01:05:58.437388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
592 2
 
2.0%
276 2
 
2.0%
662 2
 
2.0%
612 2
 
2.0%
470 2
 
2.0%
563 2
 
2.0%
372 2
 
2.0%
248 1
 
1.0%
442 1
 
1.0%
382 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
5 1
1.0%
10 1
1.0%
17 1
1.0%
19 1
1.0%
21 1
1.0%
28 1
1.0%
34 1
1.0%
45 1
1.0%
70 1
1.0%
74 1
1.0%
ValueCountFrequency (%)
704 1
1.0%
703 1
1.0%
701 1
1.0%
682 1
1.0%
662 2
2.0%
656 1
1.0%
651 1
1.0%
646 1
1.0%
635 1
1.0%
630 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3482.4158
Minimum25
Maximum6702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:05:59.616208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile110
Q12457
median3697
Q35092
95-th percentile5885
Maximum6702
Range6677
Interquartile range (IQR)2635

Descriptive statistics

Standard deviation1873.7093
Coefficient of variation (CV)0.53804871
Kurtosis-0.85862424
Mean3482.4158
Median Absolute Deviation (MAD)1323
Skewness-0.39836404
Sum351724
Variance3510786.7
MonotonicityNot monotonic
2023-09-29T01:06:00.609689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2838 2
 
2.0%
2221 1
 
1.0%
4594 1
 
1.0%
2990 1
 
1.0%
2537 1
 
1.0%
2374 1
 
1.0%
3524 1
 
1.0%
3763 1
 
1.0%
4108 1
 
1.0%
3707 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
25 1
1.0%
32 1
1.0%
44 1
1.0%
63 1
1.0%
76 1
1.0%
110 1
1.0%
111 1
1.0%
140 1
1.0%
173 1
1.0%
280 1
1.0%
ValueCountFrequency (%)
6702 1
1.0%
6661 1
1.0%
6080 1
1.0%
5979 1
1.0%
5946 1
1.0%
5885 1
1.0%
5794 1
1.0%
5743 1
1.0%
5741 1
1.0%
5727 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725.2079
Minimum6
Maximum3165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:01.324584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile18
Q11097
median1740
Q32618
95-th percentile2899
Maximum3165
Range3159
Interquartile range (IQR)1521

Descriptive statistics

Standard deviation972.97548
Coefficient of variation (CV)0.56397578
Kurtosis-1.0086251
Mean1725.2079
Median Absolute Deviation (MAD)802
Skewness-0.45716585
Sum174246
Variance946681.29
MonotonicityNot monotonic
2023-09-29T01:06:02.061724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2724 2
 
2.0%
2802 2
 
2.0%
2052 1
 
1.0%
1215 1
 
1.0%
1087 1
 
1.0%
1077 1
 
1.0%
1595 1
 
1.0%
1718 1
 
1.0%
1869 1
 
1.0%
1740 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
11 1
1.0%
13 1
1.0%
16 1
1.0%
18 1
1.0%
25 1
1.0%
26 1
1.0%
31 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
3165 1
1.0%
3124 1
1.0%
3039 1
1.0%
2984 1
1.0%
2960 1
1.0%
2899 1
1.0%
2885 1
1.0%
2870 1
1.0%
2864 1
1.0%
2853 1
1.0%

동구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.2079
Minimum19
Maximum3537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:02.987479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile86
Q11276
median1863
Q32474
95-th percentile3018
Maximum3537
Range3518
Interquartile range (IQR)1198

Descriptive statistics

Standard deviation919.09154
Coefficient of variation (CV)0.52304086
Kurtosis-0.69847198
Mean1757.2079
Median Absolute Deviation (MAD)611
Skewness-0.27603081
Sum177478
Variance844729.27
MonotonicityNot monotonic
2023-09-29T01:06:03.773116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3537 2
 
2.0%
2003 2
 
2.0%
1399 2
 
2.0%
1087 1
 
1.0%
1975 1
 
1.0%
1812 1
 
1.0%
1698 1
 
1.0%
1623 1
 
1.0%
1450 1
 
1.0%
1297 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
19 1
1.0%
25 1
1.0%
31 1
1.0%
52 1
1.0%
60 1
1.0%
86 1
1.0%
92 1
1.0%
114 1
1.0%
142 1
1.0%
212 1
1.0%
ValueCountFrequency (%)
3537 2
2.0%
3239 1
1.0%
3094 1
1.0%
3027 1
1.0%
3018 1
1.0%
2986 1
1.0%
2946 1
1.0%
2944 1
1.0%
2901 1
1.0%
2898 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1837.6832
Minimum7
Maximum4420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:04.394589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile55
Q1975
median1922
Q32659
95-th percentile3658
Maximum4420
Range4413
Interquartile range (IQR)1684

Descriptive statistics

Standard deviation1150.8296
Coefficient of variation (CV)0.6262394
Kurtosis-0.85064238
Mean1837.6832
Median Absolute Deviation (MAD)904
Skewness0.1436992
Sum185606
Variance1324408.8
MonotonicityNot monotonic
2023-09-29T01:06:04.911888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 2
 
2.0%
673 1
 
1.0%
3375 1
 
1.0%
1413 1
 
1.0%
1334 1
 
1.0%
2061 1
 
1.0%
2265 1
 
1.0%
2416 1
 
1.0%
2194 1
 
1.0%
2208 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
13 1
1.0%
24 2
2.0%
53 1
1.0%
55 1
1.0%
67 1
1.0%
95 1
1.0%
96 1
1.0%
138 1
1.0%
182 1
1.0%
ValueCountFrequency (%)
4420 1
1.0%
4275 1
1.0%
4010 1
1.0%
3922 1
1.0%
3696 1
1.0%
3658 1
1.0%
3571 1
1.0%
3566 1
1.0%
3554 1
1.0%
3528 1
1.0%

서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925.20792
Minimum0
Maximum2165
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:05.579489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1490
median1026
Q31393
95-th percentile1852
Maximum2165
Range2165
Interquartile range (IQR)903

Descriptive statistics

Standard deviation601.15421
Coefficient of variation (CV)0.64975039
Kurtosis-1.1093369
Mean925.20792
Median Absolute Deviation (MAD)509
Skewness0.014179734
Sum93446
Variance361386.39
MonotonicityNot monotonic
2023-09-29T01:06:06.302184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
531 2
 
2.0%
327 1
 
1.0%
1335 1
 
1.0%
764 1
 
1.0%
703 1
 
1.0%
655 1
 
1.0%
584 1
 
1.0%
913 1
 
1.0%
1026 1
 
1.0%
1132 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
0 1
1.0%
1 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
10 1
1.0%
12 1
1.0%
20 1
1.0%
22 1
1.0%
24 1
1.0%
ValueCountFrequency (%)
2165 1
1.0%
2064 1
1.0%
1966 1
1.0%
1882 1
1.0%
1870 1
1.0%
1852 1
1.0%
1838 1
1.0%
1816 1
1.0%
1806 1
1.0%
1739 1
1.0%

서구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean912.47525
Minimum7
Maximum2255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:07.412810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile50
Q1487
median894
Q31204
95-th percentile1840
Maximum2255
Range2248
Interquartile range (IQR)717

Descriptive statistics

Standard deviation563.03601
Coefficient of variation (CV)0.61704251
Kurtosis-0.5748598
Mean912.47525
Median Absolute Deviation (MAD)395
Skewness0.32398597
Sum92160
Variance317009.55
MonotonicityNot monotonic
2023-09-29T01:06:08.282764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1239 2
 
2.0%
1193 2
 
2.0%
527 2
 
2.0%
981 2
 
2.0%
487 2
 
2.0%
1326 2
 
2.0%
346 1
 
1.0%
1110 1
 
1.0%
1068 1
 
1.0%
982 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
7 1
1.0%
12 1
1.0%
17 1
1.0%
20 1
1.0%
43 1
1.0%
50 1
1.0%
55 1
1.0%
71 1
1.0%
76 1
1.0%
116 1
1.0%
ValueCountFrequency (%)
2255 1
1.0%
2211 1
1.0%
2052 1
1.0%
2044 1
1.0%
1844 1
1.0%
1840 1
1.0%
1789 1
1.0%
1776 1
1.0%
1765 1
1.0%
1739 1
1.0%

남구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1495.7426
Minimum10
Maximum3060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:09.257217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile58
Q1804
median1641
Q32184
95-th percentile2659
Maximum3060
Range3050
Interquartile range (IQR)1380

Descriptive statistics

Standard deviation841.50333
Coefficient of variation (CV)0.56259904
Kurtosis-1.0658799
Mean1495.7426
Median Absolute Deviation (MAD)706
Skewness-0.19765371
Sum151070
Variance708127.85
MonotonicityNot monotonic
2023-09-29T01:06:10.507024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1426 2
 
2.0%
589 1
 
1.0%
2199 1
 
1.0%
1228 1
 
1.0%
1280 1
 
1.0%
1812 1
 
1.0%
1882 1
 
1.0%
2003 1
 
1.0%
1794 1
 
1.0%
1799 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
24 1
1.0%
28 1
1.0%
39 1
1.0%
51 1
1.0%
58 1
1.0%
72 1
1.0%
75 1
1.0%
110 1
1.0%
164 1
1.0%
ValueCountFrequency (%)
3060 1
1.0%
2987 1
1.0%
2877 1
1.0%
2795 1
1.0%
2747 1
1.0%
2659 1
1.0%
2635 1
1.0%
2595 1
1.0%
2555 1
1.0%
2553 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.12871
Minimum2
Maximum1473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:11.072778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile13
Q1395
median797
Q31093
95-th percentile1283
Maximum1473
Range1471
Interquartile range (IQR)698

Descriptive statistics

Standard deviation425.24126
Coefficient of variation (CV)0.5880575
Kurtosis-1.1914003
Mean723.12871
Median Absolute Deviation (MAD)360
Skewness-0.23315589
Sum73036
Variance180830.13
MonotonicityNot monotonic
2023-09-29T01:06:11.685288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
2.0%
395 2
 
2.0%
1124 2
 
2.0%
797 2
 
2.0%
483 2
 
2.0%
286 1
 
1.0%
966 1
 
1.0%
607 1
 
1.0%
504 1
 
1.0%
551 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 2
2.0%
5 1
1.0%
9 1
1.0%
11 1
1.0%
13 1
1.0%
15 1
1.0%
18 1
1.0%
24 1
1.0%
39 1
1.0%
70 1
1.0%
ValueCountFrequency (%)
1473 1
1.0%
1365 1
1.0%
1342 1
1.0%
1338 1
1.0%
1318 1
1.0%
1283 1
1.0%
1267 1
1.0%
1265 1
1.0%
1261 1
1.0%
1252 1
1.0%

남구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean772.61386
Minimum8
Maximum1649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:12.487277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile47
Q1395
median820
Q31062
95-th percentile1411
Maximum1649
Range1641
Interquartile range (IQR)667

Descriptive statistics

Standard deviation425.76686
Coefficient of variation (CV)0.55107329
Kurtosis-0.92649067
Mean772.61386
Median Absolute Deviation (MAD)355
Skewness-0.11222212
Sum78034
Variance181277.42
MonotonicityNot monotonic
2023-09-29T01:06:13.528406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1224 2
 
2.0%
1015 2
 
2.0%
1019 2
 
2.0%
724 2
 
2.0%
57 2
 
2.0%
819 1
 
1.0%
729 1
 
1.0%
1050 1
 
1.0%
1127 1
 
1.0%
949 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
8 1
1.0%
22 1
1.0%
23 1
1.0%
30 1
1.0%
38 1
1.0%
47 1
1.0%
57 2
2.0%
86 1
1.0%
125 1
1.0%
145 1
1.0%
ValueCountFrequency (%)
1649 1
1.0%
1587 1
1.0%
1559 1
1.0%
1486 1
1.0%
1430 1
1.0%
1411 1
1.0%
1361 1
1.0%
1324 1
1.0%
1317 1
1.0%
1313 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4357.9703
Minimum17
Maximum8607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:14.362027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile74
Q12374
median4493
Q36563
95-th percentile8148
Maximum8607
Range8590
Interquartile range (IQR)4189

Descriptive statistics

Standard deviation2558.498
Coefficient of variation (CV)0.58708477
Kurtosis-1.008237
Mean4357.9703
Median Absolute Deviation (MAD)2083
Skewness-0.22427391
Sum440155
Variance6545912
MonotonicityNot monotonic
2023-09-29T01:06:15.291654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2736 1
 
1.0%
4528 1
 
1.0%
2604 1
 
1.0%
2252 1
 
1.0%
2154 1
 
1.0%
3202 1
 
1.0%
3497 1
 
1.0%
3707 1
 
1.0%
3418 1
 
1.0%
3441 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
36 1
1.0%
38 1
1.0%
61 1
1.0%
71 1
1.0%
74 1
1.0%
79 1
1.0%
131 1
1.0%
137 1
1.0%
238 1
1.0%
ValueCountFrequency (%)
8607 1
1.0%
8588 1
1.0%
8530 1
1.0%
8468 1
1.0%
8323 1
1.0%
8148 1
1.0%
8130 1
1.0%
8075 1
1.0%
7845 1
1.0%
7689 1
1.0%

북구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2175.2376
Minimum2
Maximum4341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:16.096314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1967
median2246
Q33351
95-th percentile4039
Maximum4341
Range4339
Interquartile range (IQR)2384

Descriptive statistics

Standard deviation1341.0182
Coefficient of variation (CV)0.61649273
Kurtosis-1.1730638
Mean2175.2376
Median Absolute Deviation (MAD)1129
Skewness-0.27486855
Sum219699
Variance1798329.7
MonotonicityNot monotonic
2023-09-29T01:06:17.774476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2156 2
 
2.0%
14 2
 
2.0%
1367 1
 
1.0%
2222 1
 
1.0%
1031 1
 
1.0%
962 1
 
1.0%
963 1
 
1.0%
1438 1
 
1.0%
1563 1
 
1.0%
1683 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
7 1
1.0%
8 1
1.0%
14 2
2.0%
18 1
1.0%
24 1
1.0%
32 1
1.0%
55 1
1.0%
64 1
1.0%
ValueCountFrequency (%)
4341 1
1.0%
4220 1
1.0%
4217 1
1.0%
4184 1
1.0%
4106 1
1.0%
4039 1
1.0%
3962 1
1.0%
3947 1
1.0%
3918 1
1.0%
3855 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.7327
Minimum15
Maximum4368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:20.413565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile60
Q11369
median2262
Q33088
95-th percentile4168
Maximum4368
Range4353
Interquartile range (IQR)1719

Descriptive statistics

Standard deviation1231.4158
Coefficient of variation (CV)0.56416246
Kurtosis-0.81234667
Mean2182.7327
Median Absolute Deviation (MAD)871
Skewness-0.14080592
Sum220456
Variance1516384.9
MonotonicityNot monotonic
2023-09-29T01:06:23.670804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2929 2
 
2.0%
1369 1
 
1.0%
2277 1
 
1.0%
1573 1
 
1.0%
1290 1
 
1.0%
1191 1
 
1.0%
1764 1
 
1.0%
1934 1
 
1.0%
2024 1
 
1.0%
1835 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
31 1
1.0%
32 1
1.0%
47 1
1.0%
53 1
1.0%
60 1
1.0%
71 1
1.0%
105 1
1.0%
107 1
1.0%
183 1
1.0%
ValueCountFrequency (%)
4368 1
1.0%
4346 1
1.0%
4266 1
1.0%
4251 1
1.0%
4217 1
1.0%
4168 1
1.0%
4128 1
1.0%
4109 1
1.0%
3990 1
1.0%
3918 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4288.1287
Minimum23
Maximum9226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:24.768172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile92
Q12253
median4457
Q36214
95-th percentile8340
Maximum9226
Range9203
Interquartile range (IQR)3961

Descriptive statistics

Standard deviation2547.9496
Coefficient of variation (CV)0.59418683
Kurtosis-0.92959451
Mean4288.1287
Median Absolute Deviation (MAD)1991
Skewness-0.066686341
Sum433101
Variance6492047.2
MonotonicityNot monotonic
2023-09-29T01:06:25.910608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1682 1
 
1.0%
4457 1
 
1.0%
2688 1
 
1.0%
2372 1
 
1.0%
2245 1
 
1.0%
3426 1
 
1.0%
3513 1
 
1.0%
3727 1
 
1.0%
3604 1
 
1.0%
3461 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
23 1
1.0%
32 1
1.0%
43 1
1.0%
72 1
1.0%
73 1
1.0%
92 1
1.0%
110 1
1.0%
184 1
1.0%
193 1
1.0%
291 1
1.0%
ValueCountFrequency (%)
9226 1
1.0%
9002 1
1.0%
8957 1
1.0%
8880 1
1.0%
8694 1
1.0%
8340 1
1.0%
8144 1
1.0%
8091 1
1.0%
7575 1
1.0%
7419 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2085.5941
Minimum3
Maximum4355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:26.841659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile23
Q11030
median2130
Q33152
95-th percentile3959
Maximum4355
Range4352
Interquartile range (IQR)2122

Descriptive statistics

Standard deviation1285.8793
Coefficient of variation (CV)0.61655299
Kurtosis-1.1194286
Mean2085.5941
Median Absolute Deviation (MAD)1069
Skewness-0.15007093
Sum210645
Variance1653485.5
MonotonicityNot monotonic
2023-09-29T01:06:28.096519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
853 1
 
1.0%
2130 1
 
1.0%
1184 1
 
1.0%
1027 1
 
1.0%
1030 1
 
1.0%
1517 1
 
1.0%
1565 1
 
1.0%
1680 1
 
1.0%
1665 1
 
1.0%
1589 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
18 1
1.0%
20 1
1.0%
23 1
1.0%
24 1
1.0%
47 1
1.0%
49 1
1.0%
69 1
1.0%
ValueCountFrequency (%)
4355 1
1.0%
4332 1
1.0%
4220 1
1.0%
4186 1
1.0%
4019 1
1.0%
3959 1
1.0%
3864 1
1.0%
3726 1
1.0%
3708 1
1.0%
3664 1
1.0%

수성구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2202.5347
Minimum16
Maximum4894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:28.735898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile68
Q11288
median2215
Q33076
95-th percentile4602
Maximum4894
Range4878
Interquartile range (IQR)1788

Descriptive statistics

Standard deviation1286.6731
Coefficient of variation (CV)0.58417839
Kurtosis-0.67232374
Mean2202.5347
Median Absolute Deviation (MAD)892
Skewness0.092431122
Sum222456
Variance1655527.8
MonotonicityNot monotonic
2023-09-29T01:06:29.591237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1215 2
 
2.0%
3037 2
 
2.0%
829 1
 
1.0%
2436 1
 
1.0%
1662 1
 
1.0%
1504 1
 
1.0%
1345 1
 
1.0%
1909 1
 
1.0%
1948 1
 
1.0%
2047 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
16 1
1.0%
29 1
1.0%
39 1
1.0%
50 1
1.0%
52 1
1.0%
68 1
1.0%
92 1
1.0%
137 1
1.0%
144 1
1.0%
222 1
1.0%
ValueCountFrequency (%)
4894 1
1.0%
4816 1
1.0%
4675 1
1.0%
4660 1
1.0%
4632 1
1.0%
4602 1
1.0%
4505 1
1.0%
4185 1
1.0%
3995 1
1.0%
3911 1
1.0%

달서구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5688.6238
Minimum19
Maximum11550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:30.556003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile81
Q12709
median5960
Q38437
95-th percentile10825
Maximum11550
Range11531
Interquartile range (IQR)5728

Descriptive statistics

Standard deviation3454.8389
Coefficient of variation (CV)0.60732421
Kurtosis-1.107452
Mean5688.6238
Median Absolute Deviation (MAD)2713
Skewness-0.15928194
Sum574551
Variance11935912
MonotonicityNot monotonic
2023-09-29T01:06:32.224448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 2
 
2.0%
7506 2
 
2.0%
3047 1
 
1.0%
6051 1
 
1.0%
2683 1
 
1.0%
2653 1
 
1.0%
4041 1
 
1.0%
4343 1
 
1.0%
4620 1
 
1.0%
4492 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
19 2
2.0%
43 1
1.0%
70 1
1.0%
75 1
1.0%
81 1
1.0%
110 1
1.0%
177 1
1.0%
180 1
1.0%
278 1
1.0%
377 1
1.0%
ValueCountFrequency (%)
11550 1
1.0%
11445 1
1.0%
11318 1
1.0%
11137 1
1.0%
10841 1
1.0%
10825 1
1.0%
10757 1
1.0%
10481 1
1.0%
10430 1
1.0%
10399 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2820.0396
Minimum3
Maximum5571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:32.861000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile22
Q11276
median2989
Q34240
95-th percentile5225
Maximum5571
Range5568
Interquartile range (IQR)2964

Descriptive statistics

Standard deviation1768.9724
Coefficient of variation (CV)0.62728637
Kurtosis-1.2404211
Mean2820.0396
Median Absolute Deviation (MAD)1539
Skewness-0.25798528
Sum284824
Variance3129263.4
MonotonicityNot monotonic
2023-09-29T01:06:33.612151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1579 1
 
1.0%
2989 1
 
1.0%
1290 1
 
1.0%
1188 1
 
1.0%
1276 1
 
1.0%
1839 1
 
1.0%
2066 1
 
1.0%
2189 1
 
1.0%
2147 1
 
1.0%
2165 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
5 1
1.0%
7 1
1.0%
10 1
1.0%
14 1
1.0%
22 1
1.0%
27 1
1.0%
33 1
1.0%
35 1
1.0%
69 1
1.0%
ValueCountFrequency (%)
5571 1
1.0%
5533 1
1.0%
5438 1
1.0%
5308 1
1.0%
5271 1
1.0%
5225 1
1.0%
5189 1
1.0%
5178 1
1.0%
5086 1
1.0%
5040 1
1.0%

달서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2868.5842
Minimum12
Maximum6017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:34.537259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile61
Q11528
median2850
Q34154
95-th percentile5600
Maximum6017
Range6005
Interquartile range (IQR)2626

Descriptive statistics

Standard deviation1705.9529
Coefficient of variation (CV)0.59470205
Kurtosis-0.92947991
Mean2868.5842
Median Absolute Deviation (MAD)1322
Skewness-0.020051596
Sum289727
Variance2910275.2
MonotonicityNot monotonic
2023-09-29T01:06:35.622675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2277 2
 
2.0%
3710 2
 
2.0%
4256 2
 
2.0%
1468 1
 
1.0%
3102 1
 
1.0%
1729 1
 
1.0%
1741 1
 
1.0%
1495 1
 
1.0%
1377 1
 
1.0%
2202 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
12 1
1.0%
16 1
1.0%
38 1
1.0%
59 1
1.0%
60 1
1.0%
61 1
1.0%
83 1
1.0%
144 1
1.0%
145 1
1.0%
209 1
1.0%
ValueCountFrequency (%)
6017 1
1.0%
5880 1
1.0%
5874 1
1.0%
5829 1
1.0%
5671 1
1.0%
5600 1
1.0%
5570 1
1.0%
5459 1
1.0%
5448 1
1.0%
5303 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2471.1485
Minimum10
Maximum5203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:36.170396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile37
Q11131
median2778
Q33793
95-th percentile4337
Maximum5203
Range5193
Interquartile range (IQR)2662

Descriptive statistics

Standard deviation1464.0942
Coefficient of variation (CV)0.59247521
Kurtosis-1.022479
Mean2471.1485
Median Absolute Deviation (MAD)1135
Skewness-0.26040756
Sum249586
Variance2143571.9
MonotonicityNot monotonic
2023-09-29T01:06:37.047259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2724 1
 
1.0%
2269 1
 
1.0%
1238 1
 
1.0%
1068 1
 
1.0%
1066 1
 
1.0%
1553 1
 
1.0%
1704 1
 
1.0%
1866 1
 
1.0%
1830 1
 
1.0%
1768 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
12 1
1.0%
18 1
1.0%
24 1
1.0%
35 1
1.0%
37 1
1.0%
40 1
1.0%
76 1
1.0%
96 1
1.0%
154 1
1.0%
ValueCountFrequency (%)
5203 1
1.0%
5190 1
1.0%
5097 1
1.0%
4737 1
1.0%
4627 1
1.0%
4337 1
1.0%
4204 1
1.0%
4197 1
1.0%
4182 1
1.0%
4164 1
1.0%

달성군 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1256.7228
Minimum1
Maximum2690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:38.043582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1509
median1424
Q31907
95-th percentile2247
Maximum2690
Range2689
Interquartile range (IQR)1398

Descriptive statistics

Standard deviation783.66066
Coefficient of variation (CV)0.6235748
Kurtosis-1.1215575
Mean1256.7228
Median Absolute Deviation (MAD)580
Skewness-0.29128021
Sum126929
Variance614124.02
MonotonicityNot monotonic
2023-09-29T01:06:39.197841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1371 1
 
1.0%
1156 1
 
1.0%
570 1
 
1.0%
490 1
 
1.0%
518 1
 
1.0%
737 1
 
1.0%
844 1
 
1.0%
920 1
 
1.0%
910 1
 
1.0%
869 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
11 1
1.0%
17 1
1.0%
19 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
2690 1
1.0%
2664 1
1.0%
2638 1
1.0%
2386 1
1.0%
2375 1
1.0%
2247 1
1.0%
2237 1
1.0%
2191 1
1.0%
2185 1
1.0%
2151 1
1.0%

달성군 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1214.4257
Minimum9
Maximum2552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:06:39.807750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile29
Q1669
median1263
Q31790
95-th percentile2146
Maximum2552
Range2543
Interquartile range (IQR)1121

Descriptive statistics

Standard deviation686.21666
Coefficient of variation (CV)0.56505444
Kurtosis-0.89937628
Mean1214.4257
Median Absolute Deviation (MAD)591
Skewness-0.21750933
Sum122657
Variance470893.31
MonotonicityNot monotonic
2023-09-29T01:06:40.715309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1353 1
 
1.0%
1113 1
 
1.0%
668 1
 
1.0%
578 1
 
1.0%
548 1
 
1.0%
816 1
 
1.0%
860 1
 
1.0%
946 1
 
1.0%
920 1
 
1.0%
899 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
13 1
1.0%
17 1
1.0%
24 1
1.0%
29 1
1.0%
34 1
1.0%
59 1
1.0%
77 1
1.0%
126 1
1.0%
ValueCountFrequency (%)
2552 1
1.0%
2513 1
1.0%
2433 1
1.0%
2362 1
1.0%
2241 1
1.0%
2146 1
1.0%
2085 1
1.0%
2084 1
1.0%
1998 1
1.0%
1997 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
00세14177717470035052572482221113410876733273465892863032736136713691682853829304715791468272413711353
11세1654785507997578302276263113871244813414399641331310317315921581212310801043362119561665296714881479
22세1914397799364665327338288914201469972504468757376381367718801797256313481215429322572036332716671660
33세19918101889730613299314311016251485953501452756383373379719461851281114441367464123642277323716261611
44세19972101589814573309264302615391487975493482786395391378719241863310415901514459323322261312815761552
55세20262103539909596292304298615271459994495499788417371384919731876334516941651466023722288304415831461
66세2237611438109386033372663225167115541083556527854436418421121562055389319891904533326782655317416151559
77세2184311252105915872873003003158714161047531516820437383409221311961406720901977519526512544303215381494
88세211521089010262539286253293415351399942472470804414390389720151882406820841984519026602530277814241354
99세20468106539815468264204276114451316977490487801396405379819421856416121781983502326792344247912591220
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
9191세1638371126795217428068212138221161643912523855183291692222786920915428126
9292세1001208793581345140261149620761102486131241071934914417733144961977
9393세93420073445113417331142671255721557137321051844713718035145761759
9494세5891104793211211101892555505811477414601101892110278340634
9595세485107378357287616605310435113387987173235081225937829
9696세38480304201196311522442039930611447722052701060351124
9797세2574721021417441331247172852336432434394353818513
9898세18535150177103272513112242223873132329197121019
9999세120249672525619707102817215237161931612210
100100세 이상628145483851570111258695247175185771185392246875146124717