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

Description2018.2.28.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571999afbad44ef&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:17:45.937928
Analysis finished2023-09-29 01:17:46.705736
Duration0.77 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
2023-09-29T01:17:47.505372image/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%
2023-09-29T01:17:49.131280image/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%
Mean24489.762
Minimum102
Maximum46870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:49.879880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile602
Q115057
median24637
Q335698
95-th percentile45060
Maximum46870
Range46768
Interquartile range (IQR)20641

Descriptive statistics

Standard deviation13960.615
Coefficient of variation (CV)0.57005924
Kurtosis-0.98517561
Mean24489.762
Median Absolute Deviation (MAD)10833
Skewness-0.2791332
Sum2473466
Variance1.9489878 × 108
MonotonicityNot monotonic
2023-09-29T01:17:51.886757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15057 1
 
1.0%
26715 1
 
1.0%
16023 1
 
1.0%
15736 1
 
1.0%
12943 1
 
1.0%
17414 1
 
1.0%
21337 1
 
1.0%
22978 1
 
1.0%
22761 1
 
1.0%
21838 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
102 1
1.0%
170 1
1.0%
234 1
1.0%
356 1
1.0%
481 1
1.0%
602 1
1.0%
620 1
1.0%
783 1
1.0%
1093 1
1.0%
1444 1
1.0%
ValueCountFrequency (%)
46870 1
1.0%
45834 1
1.0%
45588 1
1.0%
45469 1
1.0%
45418 1
1.0%
45060 1
1.0%
44602 1
1.0%
43960 1
1.0%
43742 1
1.0%
43659 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12145.792
Minimum24
Maximum23130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:53.856011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile131
Q16679
median12792
Q318294
95-th percentile22268
Maximum23130
Range23106
Interquartile range (IQR)11615

Descriptive statistics

Standard deviation7253.5089
Coefficient of variation (CV)0.59720345
Kurtosis-1.1387628
Mean12145.792
Median Absolute Deviation (MAD)5788
Skewness-0.34154516
Sum1226725
Variance52613392
MonotonicityNot monotonic
2023-09-29T01:17:56.468381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7710 1
 
1.0%
12598 1
 
1.0%
6679 1
 
1.0%
6821 1
 
1.0%
5819 1
 
1.0%
7892 1
 
1.0%
9716 1
 
1.0%
10478 1
 
1.0%
10686 1
 
1.0%
10301 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
29 1
1.0%
46 1
1.0%
70 1
1.0%
98 1
1.0%
131 1
1.0%
139 1
1.0%
161 1
1.0%
250 1
1.0%
325 1
1.0%
ValueCountFrequency (%)
23130 1
1.0%
22403 1
1.0%
22310 1
1.0%
22300 1
1.0%
22285 1
1.0%
22268 1
1.0%
21731 1
1.0%
21715 1
1.0%
21506 1
1.0%
21177 1
1.0%

총계 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12343.97
Minimum78
Maximum23740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:57.619311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile471
Q18334
median12500
Q317877
95-th percentile22887
Maximum23740
Range23662
Interquartile range (IQR)9543

Descriptive statistics

Standard deviation6790.7314
Coefficient of variation (CV)0.55012538
Kurtosis-0.8209556
Mean12343.97
Median Absolute Deviation (MAD)5153
Skewness-0.18650241
Sum1246741
Variance46114033
MonotonicityNot monotonic
2023-09-29T01:17:58.322999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9738 2
 
2.0%
7347 1
 
1.0%
15650 1
 
1.0%
10960 1
 
1.0%
9344 1
 
1.0%
8915 1
 
1.0%
7124 1
 
1.0%
9522 1
 
1.0%
11621 1
 
1.0%
12500 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
78 1
1.0%
141 1
1.0%
188 1
1.0%
286 1
1.0%
383 1
1.0%
471 1
1.0%
481 1
1.0%
622 1
1.0%
843 1
1.0%
1119 1
1.0%
ValueCountFrequency (%)
23740 1
1.0%
23549 1
1.0%
23320 1
1.0%
23159 1
1.0%
23015 1
1.0%
22887 1
1.0%
22760 1
1.0%
22744 1
1.0%
22229 1
1.0%
22153 1
1.0%

중구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783.34653
Minimum6
Maximum1354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:59.734700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile36
Q1507
median866
Q31149
95-th percentile1293
Maximum1354
Range1348
Interquartile range (IQR)642

Descriptive statistics

Standard deviation411.37704
Coefficient of variation (CV)0.52515333
Kurtosis-1.0279922
Mean783.34653
Median Absolute Deviation (MAD)331
Skewness-0.43946888
Sum79118
Variance169231.07
MonotonicityNot monotonic
2023-09-29T01:18:00.550610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1232 3
 
3.0%
517 2
 
2.0%
656 2
 
2.0%
6 1
 
1.0%
929 1
 
1.0%
763 1
 
1.0%
634 1
 
1.0%
770 1
 
1.0%
933 1
 
1.0%
1011 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
6 1
1.0%
9 1
1.0%
22 1
1.0%
23 1
1.0%
24 1
1.0%
36 1
1.0%
42 1
1.0%
54 1
1.0%
83 1
1.0%
88 1
1.0%
ValueCountFrequency (%)
1354 1
1.0%
1340 1
1.0%
1334 1
1.0%
1320 1
1.0%
1311 1
1.0%
1293 1
1.0%
1277 1
1.0%
1275 1
1.0%
1269 1
1.0%
1250 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.79208
Minimum0
Maximum690
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:01.332084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1248
median387
Q3585
95-th percentile646
Maximum690
Range690
Interquartile range (IQR)337

Descriptive statistics

Standard deviation214.136
Coefficient of variation (CV)0.56234363
Kurtosis-1.1083539
Mean380.79208
Median Absolute Deviation (MAD)174
Skewness-0.37408599
Sum38460
Variance45854.226
MonotonicityNot monotonic
2023-09-29T01:18:02.036594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 3
 
3.0%
619 2
 
2.0%
13 2
 
2.0%
260 2
 
2.0%
558 2
 
2.0%
387 2
 
2.0%
585 2
 
2.0%
638 2
 
2.0%
632 2
 
2.0%
428 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
0 1
 
1.0%
4 3
3.0%
5 1
 
1.0%
6 1
 
1.0%
13 2
2.0%
16 1
 
1.0%
18 1
 
1.0%
36 1
 
1.0%
37 1
 
1.0%
46 1
 
1.0%
ValueCountFrequency (%)
690 1
1.0%
661 1
1.0%
659 1
1.0%
656 1
1.0%
647 1
1.0%
646 1
1.0%
639 1
1.0%
638 2
2.0%
632 2
2.0%
630 1
1.0%

중구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.55446
Minimum5
Maximum708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:02.692795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q1249
median451
Q3588
95-th percentile655
Maximum708
Range703
Interquartile range (IQR)339

Descriptive statistics

Standard deviation201.51687
Coefficient of variation (CV)0.50059531
Kurtosis-0.95972213
Mean402.55446
Median Absolute Deviation (MAD)154
Skewness-0.45731751
Sum40658
Variance40609.05
MonotonicityNot monotonic
2023-09-29T01:18:03.616981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486 2
 
2.0%
605 2
 
2.0%
655 2
 
2.0%
630 2
 
2.0%
224 2
 
2.0%
250 1
 
1.0%
479 1
 
1.0%
417 1
 
1.0%
451 1
 
1.0%
368 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
5 1
1.0%
6 1
1.0%
17 1
1.0%
19 1
1.0%
20 1
1.0%
29 1
1.0%
30 1
1.0%
41 1
1.0%
65 1
1.0%
72 1
1.0%
ValueCountFrequency (%)
708 1
1.0%
695 1
1.0%
684 1
1.0%
679 1
1.0%
659 1
1.0%
655 2
2.0%
651 1
1.0%
647 1
1.0%
630 2
2.0%
616 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3461.6832
Minimum21
Maximum6687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:04.478040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile92
Q12383
median3695
Q35095
95-th percentile5801
Maximum6687
Range6666
Interquartile range (IQR)2712

Descriptive statistics

Standard deviation1874.7266
Coefficient of variation (CV)0.54156506
Kurtosis-0.86457775
Mean3461.6832
Median Absolute Deviation (MAD)1358
Skewness-0.39380302
Sum349630
Variance3514600
MonotonicityNot monotonic
2023-09-29T01:18:05.415154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5632 2
 
2.0%
2271 1
 
1.0%
2840 1
 
1.0%
2705 1
 
1.0%
2309 1
 
1.0%
2975 1
 
1.0%
3695 1
 
1.0%
3924 1
 
1.0%
3912 1
 
1.0%
3671 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
21 1
1.0%
31 1
1.0%
38 1
1.0%
59 1
1.0%
61 1
1.0%
92 1
1.0%
108 1
1.0%
151 1
1.0%
180 1
1.0%
223 1
1.0%
ValueCountFrequency (%)
6687 1
1.0%
6410 1
1.0%
6406 1
1.0%
5954 1
1.0%
5896 1
1.0%
5801 1
1.0%
5749 1
1.0%
5723 1
1.0%
5707 1
1.0%
5691 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1716.5743
Minimum4
Maximum3212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:06.144505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q11147
median1820
Q32591
95-th percentile2943
Maximum3212
Range3208
Interquartile range (IQR)1444

Descriptive statistics

Standard deviation975.44684
Coefficient of variation (CV)0.56825205
Kurtosis-1.0161436
Mean1716.5743
Median Absolute Deviation (MAD)771
Skewness-0.44356195
Sum173374
Variance951496.55
MonotonicityNot monotonic
2023-09-29T01:18:06.761876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2891 2
 
2.0%
12 2
 
2.0%
1147 1
 
1.0%
1993 1
 
1.0%
1173 1
 
1.0%
1042 1
 
1.0%
1314 1
 
1.0%
1724 1
 
1.0%
1789 1
 
1.0%
1820 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
7 1
1.0%
11 1
1.0%
12 2
2.0%
17 1
1.0%
23 1
1.0%
30 1
1.0%
39 1
1.0%
44 1
1.0%
86 1
1.0%
ValueCountFrequency (%)
3212 1
1.0%
3036 1
1.0%
3001 1
1.0%
2972 1
1.0%
2951 1
1.0%
2943 1
1.0%
2926 1
1.0%
2912 1
1.0%
2891 2
2.0%
2871 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1745.1089
Minimum17
Maximum3475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:07.241762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile75
Q11230
median1852
Q32483
95-th percentile2990
Maximum3475
Range3458
Interquartile range (IQR)1253

Descriptive statistics

Standard deviation917.018
Coefficient of variation (CV)0.52547895
Kurtosis-0.70251296
Mean1745.1089
Median Absolute Deviation (MAD)631
Skewness-0.28259885
Sum176256
Variance840922.02
MonotonicityNot monotonic
2023-09-29T01:18:08.019736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2084 2
 
2.0%
1330 2
 
2.0%
1124 1
 
1.0%
2193 1
 
1.0%
1864 1
 
1.0%
1670 1
 
1.0%
1532 1
 
1.0%
1267 1
 
1.0%
1661 1
 
1.0%
1971 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
17 1
1.0%
24 1
1.0%
26 1
1.0%
47 1
1.0%
50 1
1.0%
75 1
1.0%
85 1
1.0%
121 1
1.0%
141 1
1.0%
179 1
1.0%
ValueCountFrequency (%)
3475 1
1.0%
3434 1
1.0%
3374 1
1.0%
3063 1
1.0%
2993 1
1.0%
2990 1
1.0%
2984 1
1.0%
2945 1
1.0%
2941 1
1.0%
2921 1
1.0%

서구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1888.4752
Minimum14
Maximum4366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:08.572711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile64
Q11006
median2019
Q32742
95-th percentile3704
Maximum4366
Range4352
Interquartile range (IQR)1736

Descriptive statistics

Standard deviation1180.1691
Coefficient of variation (CV)0.62493228
Kurtosis-0.89176562
Mean1888.4752
Median Absolute Deviation (MAD)955
Skewness0.10279067
Sum190736
Variance1392799.2
MonotonicityNot monotonic
2023-09-29T01:18:09.244315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 3
 
3.0%
2456 2
 
2.0%
758 1
 
1.0%
2785 1
 
1.0%
1655 1
 
1.0%
1266 1
 
1.0%
1778 1
 
1.0%
2179 1
 
1.0%
2429 1
 
1.0%
2400 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
14 3
3.0%
31 1
 
1.0%
36 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
87 1
 
1.0%
90 1
 
1.0%
127 1
 
1.0%
164 1
 
1.0%
199 1
 
1.0%
ValueCountFrequency (%)
4366 1
1.0%
4306 1
1.0%
4235 1
1.0%
4117 1
1.0%
3873 1
1.0%
3704 1
1.0%
3607 1
1.0%
3557 1
1.0%
3555 1
1.0%
3521 1
1.0%

서구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.13861
Minimum1
Maximum2128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:09.856481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q1495
median1050
Q31467
95-th percentile1878
Maximum2128
Range2127
Interquartile range (IQR)972

Descriptive statistics

Standard deviation618.85362
Coefficient of variation (CV)0.64996169
Kurtosis-1.142165
Mean952.13861
Median Absolute Deviation (MAD)512
Skewness-0.015837072
Sum96166
Variance382979.8
MonotonicityNot monotonic
2023-09-29T01:18:10.514177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
7 2
 
2.0%
21 2
 
2.0%
1147 2
 
2.0%
1323 2
 
2.0%
388 1
 
1.0%
1687 1
 
1.0%
784 1
 
1.0%
959 1
 
1.0%
1150 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
4 2
2.0%
6 1
1.0%
7 2
2.0%
12 1
1.0%
20 1
1.0%
21 2
2.0%
34 1
1.0%
43 1
1.0%
56 1
1.0%
ValueCountFrequency (%)
2128 1
1.0%
2103 1
1.0%
2086 1
1.0%
2003 1
1.0%
1912 1
1.0%
1878 1
1.0%
1868 1
1.0%
1831 1
1.0%
1801 1
1.0%
1791 1
1.0%

서구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean936.33663
Minimum10
Maximum2263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:11.222237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile52
Q1509
median943
Q31250
95-th percentile1834
Maximum2263
Range2253
Interquartile range (IQR)741

Descriptive statistics

Standard deviation574.69351
Coefficient of variation (CV)0.61376805
Kurtosis-0.6097725
Mean936.33663
Median Absolute Deviation (MAD)415
Skewness0.27821916
Sum94570
Variance330272.63
MonotonicityNot monotonic
2023-09-29T01:18:11.892249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1282 2
 
2.0%
10 2
 
2.0%
983 2
 
2.0%
994 2
 
2.0%
2114 1
 
1.0%
1732 1
 
1.0%
974 1
 
1.0%
930 1
 
1.0%
676 1
 
1.0%
1220 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
10 2
2.0%
13 1
1.0%
24 1
1.0%
30 1
1.0%
52 1
1.0%
66 1
1.0%
67 1
1.0%
70 1
1.0%
106 1
1.0%
130 1
1.0%
ValueCountFrequency (%)
2263 1
1.0%
2220 1
1.0%
2114 1
1.0%
2107 1
1.0%
1961 1
1.0%
1834 1
1.0%
1826 1
1.0%
1817 1
1.0%
1811 1
1.0%
1782 1
1.0%

남구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1509.2871
Minimum13
Maximum3065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:12.458372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile58
Q1843
median1706
Q32156
95-th percentile2701
Maximum3065
Range3052
Interquartile range (IQR)1313

Descriptive statistics

Standard deviation846.11543
Coefficient of variation (CV)0.56060601
Kurtosis-1.058649
Mean1509.2871
Median Absolute Deviation (MAD)722
Skewness-0.22844469
Sum152438
Variance715911.33
MonotonicityNot monotonic
2023-09-29T01:18:13.015635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2156 3
 
3.0%
2464 2
 
2.0%
1745 2
 
2.0%
626 1
 
1.0%
2029 1
 
1.0%
1471 1
 
1.0%
1391 1
 
1.0%
1151 1
 
1.0%
1575 1
 
1.0%
1829 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
13 1
1.0%
19 1
1.0%
27 1
1.0%
28 1
1.0%
55 1
1.0%
58 1
1.0%
69 1
1.0%
70 1
1.0%
96 1
1.0%
128 1
1.0%
ValueCountFrequency (%)
3065 1
1.0%
3037 1
1.0%
2856 1
1.0%
2762 1
1.0%
2724 1
1.0%
2701 1
1.0%
2650 1
1.0%
2606 1
1.0%
2578 1
1.0%
2575 1
1.0%

남구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean731.79208
Minimum2
Maximum1394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:14.240004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1405
median813
Q31096
95-th percentile1305
Maximum1394
Range1392
Interquartile range (IQR)691

Descriptive statistics

Standard deviation428.29329
Coefficient of variation (CV)0.58526637
Kurtosis-1.1960444
Mean731.79208
Median Absolute Deviation (MAD)351
Skewness-0.27276431
Sum73911
Variance183435.15
MonotonicityNot monotonic
2023-09-29T01:18:15.189791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1013 2
 
2.0%
1138 2
 
2.0%
5 2
 
2.0%
1033 2
 
2.0%
309 1
 
1.0%
813 1
 
1.0%
613 1
 
1.0%
599 1
 
1.0%
468 1
 
1.0%
663 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 2
2.0%
12 1
1.0%
14 1
1.0%
16 1
1.0%
17 1
1.0%
18 1
1.0%
32 1
1.0%
64 1
1.0%
ValueCountFrequency (%)
1394 1
1.0%
1392 1
1.0%
1381 1
1.0%
1349 1
1.0%
1331 1
1.0%
1305 1
1.0%
1290 1
1.0%
1282 1
1.0%
1262 1
1.0%
1260 1
1.0%

남구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.49505
Minimum10
Maximum1671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:16.493191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile46
Q1398
median858
Q31084
95-th percentile1419
Maximum1671
Range1661
Interquartile range (IQR)686

Descriptive statistics

Standard deviation427.33019
Coefficient of variation (CV)0.54962432
Kurtosis-0.90078056
Mean777.49505
Median Absolute Deviation (MAD)362
Skewness-0.13224821
Sum78527
Variance182611.09
MonotonicityNot monotonic
2023-09-29T01:18:17.483572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
376 2
 
2.0%
1419 2
 
2.0%
53 2
 
2.0%
481 2
 
2.0%
398 2
 
2.0%
317 1
 
1.0%
1123 1
 
1.0%
858 1
 
1.0%
792 1
 
1.0%
683 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
10 1
1.0%
14 1
1.0%
22 1
1.0%
26 1
1.0%
41 1
1.0%
46 1
1.0%
53 2
2.0%
78 1
1.0%
96 1
1.0%
143 1
1.0%
ValueCountFrequency (%)
1671 1
1.0%
1656 1
1.0%
1464 1
1.0%
1439 1
1.0%
1419 2
2.0%
1413 1
1.0%
1385 1
1.0%
1333 1
1.0%
1316 1
1.0%
1287 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4369.0792
Minimum11
Maximum8728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:18.986271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile76
Q12476
median4422
Q36564
95-th percentile8226
Maximum8728
Range8717
Interquartile range (IQR)4088

Descriptive statistics

Standard deviation2587.5623
Coefficient of variation (CV)0.5922443
Kurtosis-1.02716
Mean4369.0792
Median Absolute Deviation (MAD)2142
Skewness-0.22198143
Sum441277
Variance6695478.5
MonotonicityNot monotonic
2023-09-29T01:18:19.892058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2894 1
 
1.0%
4270 1
 
1.0%
2476 1
 
1.0%
2551 1
 
1.0%
2023 1
 
1.0%
2696 1
 
1.0%
3380 1
 
1.0%
3638 1
 
1.0%
3612 1
 
1.0%
3390 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
26 1
1.0%
46 1
1.0%
48 1
1.0%
69 1
1.0%
76 1
1.0%
85 1
1.0%
101 1
1.0%
159 1
1.0%
200 1
1.0%
ValueCountFrequency (%)
8728 1
1.0%
8595 1
1.0%
8560 1
1.0%
8489 1
1.0%
8386 1
1.0%
8226 1
1.0%
8000 1
1.0%
7898 1
1.0%
7877 1
1.0%
7853 1
1.0%

북구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.9109
Minimum2
Maximum4364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:20.555192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q11003
median2308
Q33324
95-th percentile4002
Maximum4364
Range4362
Interquartile range (IQR)2321

Descriptive statistics

Standard deviation1356.4948
Coefficient of variation (CV)0.62141555
Kurtosis-1.1897283
Mean2182.9109
Median Absolute Deviation (MAD)1103
Skewness-0.27172627
Sum220474
Variance1840078
MonotonicityNot monotonic
2023-09-29T01:18:21.580245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 3
 
3.0%
3969 2
 
2.0%
1431 1
 
1.0%
2423 1
 
1.0%
916 1
 
1.0%
1236 1
 
1.0%
1491 1
 
1.0%
1630 1
 
1.0%
1681 1
 
1.0%
1552 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 1
 
1.0%
4 1
 
1.0%
8 1
 
1.0%
11 3
3.0%
16 1
 
1.0%
26 1
 
1.0%
32 1
 
1.0%
48 1
 
1.0%
54 1
 
1.0%
84 1
 
1.0%
ValueCountFrequency (%)
4364 1
1.0%
4242 1
1.0%
4234 1
1.0%
4225 1
1.0%
4113 1
1.0%
4002 1
1.0%
3969 2
2.0%
3955 1
1.0%
3891 1
1.0%
3849 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.1683
Minimum7
Maximum4364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:22.384540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile65
Q11460
median2168
Q33111
95-th percentile4257
Maximum4364
Range4357
Interquartile range (IQR)1651

Descriptive statistics

Standard deviation1245.488
Coefficient of variation (CV)0.56971278
Kurtosis-0.83421539
Mean2186.1683
Median Absolute Deviation (MAD)845
Skewness-0.13811679
Sum220803
Variance1551240.4
MonotonicityNot monotonic
2023-09-29T01:18:23.383391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1463 1
 
1.0%
2221 1
 
1.0%
1473 1
 
1.0%
1527 1
 
1.0%
1107 1
 
1.0%
1460 1
 
1.0%
1889 1
 
1.0%
2008 1
 
1.0%
1931 1
 
1.0%
1838 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
7 1
1.0%
24 1
1.0%
37 1
1.0%
38 1
1.0%
53 1
1.0%
65 1
1.0%
74 1
1.0%
75 1
1.0%
127 1
1.0%
146 1
1.0%
ValueCountFrequency (%)
4364 1
1.0%
4353 1
1.0%
4326 1
1.0%
4273 1
1.0%
4264 1
1.0%
4257 1
1.0%
4046 1
1.0%
4045 1
1.0%
4004 1
1.0%
3929 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4339.1089
Minimum13
Maximum9268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:24.302900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile99
Q12336
median4463
Q36404
95-th percentile8609
Maximum9268
Range9255
Interquartile range (IQR)4068

Descriptive statistics

Standard deviation2600.159
Coefficient of variation (CV)0.59923801
Kurtosis-0.94743896
Mean4339.1089
Median Absolute Deviation (MAD)2012
Skewness-0.054033842
Sum438250
Variance6760826.8
MonotonicityNot monotonic
2023-09-29T01:18:25.333149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1850 1
 
1.0%
4463 1
 
1.0%
2743 1
 
1.0%
2600 1
 
1.0%
2140 1
 
1.0%
2902 1
 
1.0%
3543 1
 
1.0%
3633 1
 
1.0%
3671 1
 
1.0%
3627 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
27 1
1.0%
40 1
1.0%
79 1
1.0%
83 1
1.0%
99 1
1.0%
108 1
1.0%
140 1
1.0%
244 1
1.0%
304 1
1.0%
ValueCountFrequency (%)
9268 1
1.0%
9158 1
1.0%
9149 1
1.0%
9084 1
1.0%
8683 1
1.0%
8609 1
1.0%
8372 1
1.0%
7721 1
1.0%
7696 1
1.0%
7670 1
1.0%

수성구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2113.2475
Minimum4
Maximum4432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:26.947698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1964
median2199
Q33301
95-th percentile4029
Maximum4432
Range4428
Interquartile range (IQR)2337

Descriptive statistics

Standard deviation1314.7746
Coefficient of variation (CV)0.62215836
Kurtosis-1.1316647
Mean2113.2475
Median Absolute Deviation (MAD)1127
Skewness-0.1328939
Sum213438
Variance1728632.3
MonotonicityNot monotonic
2023-09-29T01:18:28.597581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
957 2
 
2.0%
4 2
 
2.0%
2608 1
 
1.0%
962 1
 
1.0%
1310 1
 
1.0%
1594 1
 
1.0%
1614 1
 
1.0%
1693 1
 
1.0%
1671 1
 
1.0%
1761 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 2
2.0%
5 1
1.0%
14 1
1.0%
23 1
1.0%
24 1
1.0%
29 1
1.0%
34 1
1.0%
60 1
1.0%
77 1
1.0%
95 1
1.0%
ValueCountFrequency (%)
4432 1
1.0%
4304 1
1.0%
4279 1
1.0%
4270 1
1.0%
4169 1
1.0%
4029 1
1.0%
3911 1
1.0%
3860 1
1.0%
3791 1
1.0%
3777 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2225.8614
Minimum9
Maximum4989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:31.631947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile75
Q11342
median2130
Q33097
95-th percentile4675
Maximum4989
Range4980
Interquartile range (IQR)1755

Descriptive statistics

Standard deviation1311.564
Coefficient of variation (CV)0.58923883
Kurtosis-0.6746486
Mean2225.8614
Median Absolute Deviation (MAD)952
Skewness0.10860856
Sum224812
Variance1720200
MonotonicityNot monotonic
2023-09-29T01:18:32.469754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1978 2
 
2.0%
893 1
 
1.0%
2415 1
 
1.0%
1813 1
 
1.0%
1585 1
 
1.0%
1450 1
 
1.0%
1178 1
 
1.0%
1592 1
 
1.0%
1949 1
 
1.0%
2019 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
9 1
1.0%
22 1
1.0%
36 1
1.0%
60 1
1.0%
65 1
1.0%
75 1
1.0%
79 1
1.0%
106 1
1.0%
184 1
1.0%
227 1
1.0%
ValueCountFrequency (%)
4989 1
1.0%
4854 1
1.0%
4814 1
1.0%
4772 1
1.0%
4717 1
1.0%
4675 1
1.0%
4440 1
1.0%
4370 1
1.0%
3912 1
1.0%
3907 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5709.099
Minimum20
Maximum11595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:33.330869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile101
Q12906
median6004
Q38475
95-th percentile10947
Maximum11595
Range11575
Interquartile range (IQR)5569

Descriptive statistics

Standard deviation3490.4748
Coefficient of variation (CV)0.61138803
Kurtosis-1.1303537
Mean5709.099
Median Absolute Deviation (MAD)2752
Skewness-0.16254176
Sum576619
Variance12183414
MonotonicityNot monotonic
2023-09-29T01:18:34.134255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3396 1
 
1.0%
5640 1
 
1.0%
2906 1
 
1.0%
2922 1
 
1.0%
2411 1
 
1.0%
3454 1
 
1.0%
4182 1
 
1.0%
4516 1
 
1.0%
4522 1
 
1.0%
4521 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
20 1
1.0%
25 1
1.0%
28 1
1.0%
64 1
1.0%
70 1
1.0%
101 1
1.0%
103 1
1.0%
159 1
1.0%
186 1
1.0%
243 1
1.0%
ValueCountFrequency (%)
11595 1
1.0%
11240 1
1.0%
11152 1
1.0%
11057 1
1.0%
10987 1
1.0%
10947 1
1.0%
10929 1
1.0%
10707 1
1.0%
10527 1
1.0%
10483 1
1.0%

달서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.5842
Minimum4
Maximum5533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:35.019841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile20
Q11228
median2913
Q34335
95-th percentile5254
Maximum5533
Range5529
Interquartile range (IQR)3107

Descriptive statistics

Standard deviation1788.2929
Coefficient of variation (CV)0.63155208
Kurtosis-1.2631013
Mean2831.5842
Median Absolute Deviation (MAD)1532
Skewness-0.25914631
Sum285990
Variance3197991.4
MonotonicityNot monotonic
2023-09-29T01:18:36.732254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4779 2
 
2.0%
4 2
 
2.0%
3648 2
 
2.0%
2377 1
 
1.0%
1551 1
 
1.0%
1228 1
 
1.0%
1294 1
 
1.0%
1093 1
 
1.0%
1647 1
 
1.0%
1936 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
4 2
2.0%
7 1
1.0%
12 1
1.0%
13 1
1.0%
20 1
1.0%
26 1
1.0%
32 1
1.0%
44 1
1.0%
62 1
1.0%
75 1
1.0%
ValueCountFrequency (%)
5533 1
1.0%
5504 1
1.0%
5430 1
1.0%
5340 1
1.0%
5301 1
1.0%
5254 1
1.0%
5252 1
1.0%
5230 1
1.0%
5089 1
1.0%
5048 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2877.5149
Minimum16
Maximum6062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:37.692105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile75
Q11589
median2861
Q34209
95-th percentile5648
Maximum6062
Range6046
Interquartile range (IQR)2620

Descriptive statistics

Standard deviation1722.5304
Coefficient of variation (CV)0.59861739
Kurtosis-0.94739594
Mean2877.5149
Median Absolute Deviation (MAD)1321
Skewness-0.022224449
Sum290629
Variance2967111.1
MonotonicityNot monotonic
2023-09-29T01:18:38.477081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 2
 
2.0%
1589 1
 
1.0%
3440 1
 
1.0%
1628 1
 
1.0%
1318 1
 
1.0%
1807 1
 
1.0%
2246 1
 
1.0%
2396 1
 
1.0%
2370 1
 
1.0%
2302 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
16 1
1.0%
21 2
2.0%
52 1
1.0%
57 1
1.0%
75 1
1.0%
83 1
1.0%
127 1
1.0%
142 1
1.0%
181 1
1.0%
263 1
1.0%
ValueCountFrequency (%)
6062 1
1.0%
5810 1
1.0%
5805 1
1.0%
5699 1
1.0%
5693 1
1.0%
5648 1
1.0%
5647 1
1.0%
5568 1
1.0%
5443 1
1.0%
5435 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2429.6832
Minimum4
Maximum5111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:39.328267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile45
Q11149
median2745
Q33752
95-th percentile4253
Maximum5111
Range5107
Interquartile range (IQR)2603

Descriptive statistics

Standard deviation1452.8976
Coefficient of variation (CV)0.5979782
Kurtosis-1.0480935
Mean2429.6832
Median Absolute Deviation (MAD)1149
Skewness-0.24671252
Sum245398
Variance2110911.4
MonotonicityNot monotonic
2023-09-29T01:18:40.358147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2745 1
 
1.0%
2164 1
 
1.0%
1169 1
 
1.0%
1149 1
 
1.0%
1009 1
 
1.0%
1264 1
 
1.0%
1596 1
 
1.0%
1792 1
 
1.0%
1806 1
 
1.0%
1789 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
4 1
1.0%
18 1
1.0%
19 1
1.0%
23 1
1.0%
29 1
1.0%
45 1
1.0%
52 1
1.0%
53 1
1.0%
84 1
1.0%
136 1
1.0%
ValueCountFrequency (%)
5111 1
1.0%
5054 1
1.0%
5034 1
1.0%
4829 1
1.0%
4424 1
1.0%
4253 1
1.0%
4165 1
1.0%
4157 1
1.0%
4148 1
1.0%
4109 1
1.0%

달성군 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1236.7525
Minimum1
Maximum2701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:41.314339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1480
median1404
Q31890
95-th percentile2235
Maximum2701
Range2700
Interquartile range (IQR)1410

Descriptive statistics

Standard deviation778.75148
Coefficient of variation (CV)0.62967449
Kurtosis-1.1532063
Mean1236.7525
Median Absolute Deviation (MAD)562
Skewness-0.27906958
Sum124912
Variance606453.87
MonotonicityNot monotonic
2023-09-29T01:18:42.277055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1686 2
 
2.0%
1 2
 
2.0%
1668 2
 
2.0%
947 1
 
1.0%
587 1
 
1.0%
480 1
 
1.0%
544 1
 
1.0%
482 1
 
1.0%
602 1
 
1.0%
773 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
1 2
2.0%
4 1
1.0%
6 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
17 1
1.0%
24 1
1.0%
40 1
1.0%
ValueCountFrequency (%)
2701 1
1.0%
2583 1
1.0%
2501 1
1.0%
2498 1
1.0%
2241 1
1.0%
2235 1
1.0%
2177 1
1.0%
2170 1
1.0%
2135 1
1.0%
2133 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1192.9307
Minimum3
Maximum2556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:43.112440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile37
Q1662
median1246
Q31783
95-th percentile2056
Maximum2556
Range2553
Interquartile range (IQR)1121

Descriptive statistics

Standard deviation680.22891
Coefficient of variation (CV)0.57021662
Kurtosis-0.90740248
Mean1192.9307
Median Absolute Deviation (MAD)584
Skewness-0.19645863
Sum120486
Variance462711.37
MonotonicityNot monotonic
2023-09-29T01:18:44.611439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1246 2
 
2.0%
905 2
 
2.0%
1341 1
 
1.0%
1128 1
 
1.0%
814 1
 
1.0%
689 1
 
1.0%
605 1
 
1.0%
527 1
 
1.0%
662 1
 
1.0%
823 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
3 1
1.0%
14 1
1.0%
17 1
1.0%
18 1
1.0%
20 1
1.0%
37 1
1.0%
41 1
1.0%
43 1
1.0%
60 1
1.0%
119 1
1.0%
ValueCountFrequency (%)
2556 1
1.0%
2451 1
1.0%
2410 1
1.0%
2328 1
1.0%
2189 1
1.0%
2056 1
1.0%
2039 1
1.0%
2023 1
1.0%
2019 1
1.0%
2012 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
00세15057771073475172672502271114711247583883706263093172894143114631850957893339618071589274514041341
11세1825593448911656338318278913971392935467468763387376356517681797233612211115404221361906316916301539
22세198451011997266203083123029152315061013544469795405390383319881845274013981342451923202199329616331663
33세19907101749733611311300306515911474957495462791402389378019371843287314601413463823762262319216021590
44세197491001197385652852802899147514241064524540830426404382319271896312316051518450222702232294314991444
55세2211311396107176503602903232169115411114562552870435435420521592046364518791766521126362575318616741512
66세2164711070105775572862713062161314491056540516843448395403721071930392719721955512525652560304015391501
77세2192511312106135762912852985152714581051542509820444376411221331979409021121978537427702604291714931424
88세20231104939738469260209281714871330919455464773385388374619041842404321231920498526132372247912661213
99세2126711053102144812482332824144713771006499507862465397400020401960441223122100517127332438251113091202
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
9191세144432511198318652234417912721106128329620054146304772272436218113617119
9292세109325084354134118039141902070961878159321272446018418644142842460
9393세78316162236630151301217476769165310126751403410615932127531043
9494세60213147142132992177564125258124685117410829791012675521141
9595세481983832442059124736630551441761165832360103208345837
9696세3567028623419611150317242752248113779146564125223617
9797세2344618822517381226144102822646838404362872118414
9898세1702914194531724141131951426224275222542119118
9999세10224786062141714410133101147134920416413
100100세 이상620139481881672108238587216670175369165399247570135729920