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

Description2018.4.30.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571a939881cc4f4&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
동구 계 has unique valuesUnique
북구 계 has unique valuesUnique
수성구 계 has unique valuesUnique
달서구 계 has unique valuesUnique
달성군 계 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:03:36.500392
Analysis finished2023-09-29 01:03:37.482664
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-09-29T01:03:38.138542image/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%
2023-09-29T01:03:39.793678image/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%
Mean24466.693
Minimum106
Maximum47099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:40.456946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile600
Q114803
median25612
Q335274
95-th percentile44845
Maximum47099
Range46993
Interquartile range (IQR)20471

Descriptive statistics

Standard deviation13912.707
Coefficient of variation (CV)0.56863865
Kurtosis-0.979405
Mean24466.693
Median Absolute Deviation (MAD)9781
Skewness-0.28021363
Sum2471136
Variance1.9356342 × 108
MonotonicityNot monotonic
2023-09-29T01:03:41.635083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14803 1
 
1.0%
26078 1
 
1.0%
16370 1
 
1.0%
15200 1
 
1.0%
12364 1
 
1.0%
18913 1
 
1.0%
21419 1
 
1.0%
22953 1
 
1.0%
22610 1
 
1.0%
21349 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
106 1
1.0%
185 1
1.0%
223 1
1.0%
355 1
1.0%
512 1
1.0%
600 1
1.0%
624 1
1.0%
844 1
1.0%
1040 1
1.0%
1547 1
1.0%
ValueCountFrequency (%)
47099 1
1.0%
46630 1
1.0%
45485 1
1.0%
45204 1
1.0%
45053 1
1.0%
44845 1
1.0%
44057 1
1.0%
43798 1
1.0%
43567 1
1.0%
43213 1
1.0%

총계 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12130.851
Minimum28
Maximum23213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:42.479612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile124
Q16575
median12810
Q318483
95-th percentile22065
Maximum23213
Range23185
Interquartile range (IQR)11908

Descriptive statistics

Standard deviation7227.9736
Coefficient of variation (CV)0.59583398
Kurtosis-1.1324878
Mean12130.851
Median Absolute Deviation (MAD)5806
Skewness-0.34221933
Sum1225216
Variance52243602
MonotonicityNot monotonic
2023-09-29T01:03:43.191879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 2
 
2.0%
7593 1
 
1.0%
15761 1
 
1.0%
6575 1
 
1.0%
5638 1
 
1.0%
8508 1
 
1.0%
9763 1
 
1.0%
10484 1
 
1.0%
10677 1
 
1.0%
10054 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
28 2
2.0%
51 1
1.0%
63 1
1.0%
105 1
1.0%
124 1
1.0%
139 1
1.0%
192 1
1.0%
217 1
1.0%
348 1
1.0%
484 1
1.0%
ValueCountFrequency (%)
23213 1
1.0%
22667 1
1.0%
22509 1
1.0%
22200 1
1.0%
22096 1
1.0%
22065 1
1.0%
21571 1
1.0%
21454 1
1.0%
21396 1
1.0%
21040 1
1.0%

총계 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12335.842
Minimum78
Maximum23963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:44.244891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile476
Q18385
median12469
Q317510
95-th percentile22780
Maximum23963
Range23885
Interquartile range (IQR)9125

Descriptive statistics

Standard deviation6767.8149
Coefficient of variation (CV)0.54863017
Kurtosis-0.81720271
Mean12335.842
Median Absolute Deviation (MAD)4945
Skewness-0.18889117
Sum1245920
Variance45803318
MonotonicityNot monotonic
2023-09-29T01:03:46.279106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12469 2
 
2.0%
7210 1
 
1.0%
13616 1
 
1.0%
9515 1
 
1.0%
8625 1
 
1.0%
6726 1
 
1.0%
10405 1
 
1.0%
11656 1
 
1.0%
11933 1
 
1.0%
11295 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
78 1
1.0%
157 1
1.0%
172 1
1.0%
292 1
1.0%
407 1
1.0%
476 1
1.0%
485 1
1.0%
652 1
1.0%
823 1
1.0%
1199 1
1.0%
ValueCountFrequency (%)
23963 1
1.0%
23886 1
1.0%
23108 1
1.0%
22976 1
1.0%
22853 1
1.0%
22780 1
1.0%
22758 1
1.0%
22486 1
1.0%
22113 1
1.0%
21949 1
1.0%

중구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779.9703
Minimum5
Maximum1350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:46.960099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile35
Q1504
median847
Q31165
95-th percentile1284
Maximum1350
Range1345
Interquartile range (IQR)661

Descriptive statistics

Standard deviation408.56839
Coefficient of variation (CV)0.52382558
Kurtosis-1.0248721
Mean779.9703
Median Absolute Deviation (MAD)325
Skewness-0.44445365
Sum78777
Variance166928.13
MonotonicityNot monotonic
2023-09-29T01:03:48.204758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1197 2
 
2.0%
90 2
 
2.0%
1165 1
 
1.0%
714 1
 
1.0%
594 1
 
1.0%
847 1
 
1.0%
921 1
 
1.0%
955 1
 
1.0%
941 1
 
1.0%
834 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
5 1
1.0%
12 1
1.0%
20 1
1.0%
21 1
1.0%
30 1
1.0%
35 1
1.0%
41 1
1.0%
49 1
1.0%
90 2
2.0%
121 1
1.0%
ValueCountFrequency (%)
1350 1
1.0%
1343 1
1.0%
1318 1
1.0%
1307 1
1.0%
1299 1
1.0%
1284 1
1.0%
1268 1
1.0%
1263 1
1.0%
1250 1
1.0%
1242 1
1.0%

중구 남
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.62376
Minimum1
Maximum682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:49.319273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1241
median372
Q3571
95-th percentile645
Maximum682
Range681
Interquartile range (IQR)330

Descriptive statistics

Standard deviation212.92007
Coefficient of variation (CV)0.56235264
Kurtosis-1.1019369
Mean378.62376
Median Absolute Deviation (MAD)182
Skewness-0.36884793
Sum38241
Variance45334.957
MonotonicityNot monotonic
2023-09-29T01:03:49.902091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 2
 
2.0%
273 2
 
2.0%
618 2
 
2.0%
247 2
 
2.0%
545 2
 
2.0%
571 2
 
2.0%
372 2
 
2.0%
617 2
 
2.0%
298 2
 
2.0%
356 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
8 1
1.0%
10 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
ValueCountFrequency (%)
682 1
1.0%
672 1
1.0%
662 1
1.0%
655 1
1.0%
654 1
1.0%
645 1
1.0%
639 1
1.0%
633 1
1.0%
631 1
1.0%
629 1
1.0%

중구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.34653
Minimum4
Maximum714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:50.991802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile25
Q1245
median461
Q3579
95-th percentile642
Maximum714
Range710
Interquartile range (IQR)334

Descriptive statistics

Standard deviation200.1728
Coefficient of variation (CV)0.49875302
Kurtosis-0.95146406
Mean401.34653
Median Absolute Deviation (MAD)148
Skewness-0.46717063
Sum40536
Variance40069.149
MonotonicityNot monotonic
2023-09-29T01:03:51.887675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
273 2
 
2.0%
277 2
 
2.0%
25 2
 
2.0%
234 1
 
1.0%
572 1
 
1.0%
461 1
 
1.0%
412 1
 
1.0%
347 1
 
1.0%
491 1
 
1.0%
504 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
4 1
1.0%
8 1
1.0%
15 1
1.0%
18 1
1.0%
25 2
2.0%
33 1
1.0%
34 1
1.0%
73 1
1.0%
74 1
1.0%
84 1
1.0%
ValueCountFrequency (%)
714 1
1.0%
700 1
1.0%
688 1
1.0%
671 1
1.0%
668 1
1.0%
642 1
1.0%
639 1
1.0%
632 1
1.0%
625 1
1.0%
620 1
1.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3474.8614
Minimum22
Maximum6818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:52.885464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile102
Q12420
median3658
Q35107
95-th percentile5848
Maximum6818
Range6796
Interquartile range (IQR)2687

Descriptive statistics

Standard deviation1876.415
Coefficient of variation (CV)0.53999707
Kurtosis-0.86133682
Mean3474.8614
Median Absolute Deviation (MAD)1368
Skewness-0.39827986
Sum350961
Variance3520933.2
MonotonicityNot monotonic
2023-09-29T01:03:54.000443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2329 1
 
1.0%
4303 1
 
1.0%
2918 1
 
1.0%
2621 1
 
1.0%
2196 1
 
1.0%
3253 1
 
1.0%
3669 1
 
1.0%
3933 1
 
1.0%
3905 1
 
1.0%
3571 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
22 1
1.0%
34 1
1.0%
36 1
1.0%
60 1
1.0%
67 1
1.0%
102 1
1.0%
108 1
1.0%
159 1
1.0%
162 1
1.0%
252 1
1.0%
ValueCountFrequency (%)
6818 1
1.0%
6403 1
1.0%
6131 1
1.0%
6049 1
1.0%
5969 1
1.0%
5848 1
1.0%
5809 1
1.0%
5784 1
1.0%
5743 1
1.0%
5712 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1722.4752
Minimum6
Maximum3247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:55.217395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile17
Q11138
median1802
Q32577
95-th percentile2975
Maximum3247
Range3241
Interquartile range (IQR)1439

Descriptive statistics

Standard deviation975.98017
Coefficient of variation (CV)0.56661492
Kurtosis-1.0087119
Mean1722.4752
Median Absolute Deviation (MAD)775
Skewness-0.44750114
Sum173970
Variance952537.29
MonotonicityNot monotonic
2023-09-29T01:03:56.562011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2
 
2.0%
1190 1
 
1.0%
2468 1
 
1.0%
1138 1
 
1.0%
994 1
 
1.0%
1442 1
 
1.0%
1709 1
 
1.0%
1802 1
 
1.0%
1799 1
 
1.0%
1693 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 2
2.0%
7 1
1.0%
12 1
1.0%
14 1
1.0%
17 1
1.0%
23 1
1.0%
31 1
1.0%
39 1
1.0%
46 1
1.0%
88 1
1.0%
ValueCountFrequency (%)
3247 1
1.0%
2986 1
1.0%
2985 1
1.0%
2982 1
1.0%
2976 1
1.0%
2975 1
1.0%
2968 1
1.0%
2925 1
1.0%
2902 1
1.0%
2892 1
1.0%

동구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1752.3861
Minimum16
Maximum3571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:57.483035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile85
Q11230
median1812
Q32490
95-th percentile3010
Maximum3571
Range3555
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation918.24197
Coefficient of variation (CV)0.52399523
Kurtosis-0.71016803
Mean1752.3861
Median Absolute Deviation (MAD)630
Skewness-0.28883717
Sum176991
Variance843168.32
MonotonicityNot monotonic
2023-09-29T01:03:59.251581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2880 2
 
2.0%
2726 2
 
2.0%
85 2
 
2.0%
2815 2
 
2.0%
1139 1
 
1.0%
1483 1
 
1.0%
1202 1
 
1.0%
1811 1
 
1.0%
1960 1
 
1.0%
2131 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
16 1
1.0%
20 1
1.0%
30 1
1.0%
53 1
1.0%
55 1
1.0%
85 2
2.0%
123 1
1.0%
128 1
1.0%
206 1
1.0%
250 1
1.0%
ValueCountFrequency (%)
3571 1
1.0%
3418 1
1.0%
3156 1
1.0%
3147 1
1.0%
3014 1
1.0%
3010 1
1.0%
2987 1
1.0%
2925 1
1.0%
2917 1
1.0%
2883 1
1.0%

서구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1877.0792
Minimum13
Maximum4367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:59.936199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile67
Q11007
median1966
Q32719
95-th percentile3772
Maximum4367
Range4354
Interquartile range (IQR)1712

Descriptive statistics

Standard deviation1174.3385
Coefficient of variation (CV)0.62562012
Kurtosis-0.88301559
Mean1877.0792
Median Absolute Deviation (MAD)919
Skewness0.11479401
Sum189585
Variance1379071
MonotonicityNot monotonic
2023-09-29T01:04:01.848263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1092 2
 
2.0%
3467 2
 
2.0%
2982 2
 
2.0%
2125 2
 
2.0%
726 1
 
1.0%
2124 1
 
1.0%
1953 1
 
1.0%
1673 1
 
1.0%
1573 1
 
1.0%
1197 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
13 1
1.0%
14 1
1.0%
16 1
1.0%
30 1
1.0%
35 1
1.0%
67 1
1.0%
71 1
1.0%
88 1
1.0%
90 1
1.0%
137 1
1.0%
ValueCountFrequency (%)
4367 1
1.0%
4311 1
1.0%
4201 1
1.0%
4081 1
1.0%
3775 1
1.0%
3772 1
1.0%
3662 1
1.0%
3569 1
1.0%
3474 1
1.0%
3468 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean946.17822
Minimum3
Maximum2119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:03.400898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q1484
median1037
Q31408
95-th percentile1860
Maximum2119
Range2116
Interquartile range (IQR)924

Descriptive statistics

Standard deviation614.73855
Coefficient of variation (CV)0.64970694
Kurtosis-1.1412931
Mean946.17822
Median Absolute Deviation (MAD)504
Skewness-0.01068231
Sum95564
Variance377903.49
MonotonicityNot monotonic
2023-09-29T01:04:04.524164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
6 2
 
2.0%
21 2
 
2.0%
359 1
 
1.0%
1508 1
 
1.0%
847 1
 
1.0%
981 1
 
1.0%
1139 1
 
1.0%
1166 1
 
1.0%
1003 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 2
2.0%
4 1
1.0%
6 2
2.0%
7 1
1.0%
11 1
1.0%
21 2
2.0%
22 1
1.0%
38 1
1.0%
47 1
1.0%
54 1
1.0%
ValueCountFrequency (%)
2119 1
1.0%
2070 1
1.0%
2066 1
1.0%
2034 1
1.0%
1943 1
1.0%
1860 1
1.0%
1829 1
1.0%
1790 1
1.0%
1770 1
1.0%
1764 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean930.90099
Minimum9
Maximum2248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:05.272611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile56
Q1498
median922
Q31260
95-th percentile1898
Maximum2248
Range2239
Interquartile range (IQR)762

Descriptive statistics

Standard deviation573.15353
Coefficient of variation (CV)0.61569763
Kurtosis-0.59641777
Mean930.90099
Median Absolute Deviation (MAD)394
Skewness0.2973405
Sum94021
Variance328504.97
MonotonicityNot monotonic
2023-09-29T01:04:05.918582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
487 2
 
2.0%
1787 2
 
2.0%
1098 2
 
2.0%
367 1
 
1.0%
1121 1
 
1.0%
1089 1
 
1.0%
972 1
 
1.0%
883 1
 
1.0%
643 1
 
1.0%
1109 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
11 1
1.0%
13 1
1.0%
23 1
1.0%
29 1
1.0%
56 1
1.0%
65 1
1.0%
67 1
1.0%
69 1
1.0%
115 1
1.0%
ValueCountFrequency (%)
2248 1
1.0%
2241 1
1.0%
2135 1
1.0%
2047 1
1.0%
1912 1
1.0%
1898 1
1.0%
1832 1
1.0%
1799 1
1.0%
1795 1
1.0%
1787 2
2.0%

남구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1506.2178
Minimum13
Maximum3088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:06.722520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile63
Q1856
median1706
Q32158
95-th percentile2676
Maximum3088
Range3075
Interquartile range (IQR)1302

Descriptive statistics

Standard deviation845.72545
Coefficient of variation (CV)0.56148947
Kurtosis-1.0664605
Mean1506.2178
Median Absolute Deviation (MAD)749
Skewness-0.22091373
Sum152128
Variance715251.53
MonotonicityNot monotonic
2023-09-29T01:04:07.448054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 2
 
2.0%
601 1
 
1.0%
2627 1
 
1.0%
1320 1
 
1.0%
1089 1
 
1.0%
1726 1
 
1.0%
1847 1
 
1.0%
1997 1
 
1.0%
1922 1
 
1.0%
1749 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
22 1
1.0%
25 2
2.0%
59 1
1.0%
63 1
1.0%
68 1
1.0%
72 1
1.0%
103 1
1.0%
141 1
1.0%
212 1
1.0%
ValueCountFrequency (%)
3088 1
1.0%
3006 1
1.0%
2816 1
1.0%
2768 1
1.0%
2745 1
1.0%
2676 1
1.0%
2627 1
1.0%
2603 1
1.0%
2575 1
1.0%
2571 1
1.0%

남구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean729.86139
Minimum3
Maximum1405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:07.894808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile17
Q1401
median807
Q31079
95-th percentile1297
Maximum1405
Range1402
Interquartile range (IQR)678

Descriptive statistics

Standard deviation428.03362
Coefficient of variation (CV)0.58645878
Kurtosis-1.1992036
Mean729.86139
Median Absolute Deviation (MAD)345
Skewness-0.26310424
Sum73716
Variance183212.78
MonotonicityNot monotonic
2023-09-29T01:04:08.748079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 3
 
3.0%
374 2
 
2.0%
3 2
 
2.0%
4 2
 
2.0%
1037 2
 
2.0%
1191 1
 
1.0%
749 1
 
1.0%
823 1
 
1.0%
877 1
 
1.0%
894 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
3 2
2.0%
4 2
2.0%
9 1
 
1.0%
17 1
 
1.0%
18 3
3.0%
34 1
 
1.0%
65 1
 
1.0%
66 1
 
1.0%
75 1
 
1.0%
109 1
 
1.0%
ValueCountFrequency (%)
1405 1
1.0%
1376 1
1.0%
1373 1
1.0%
1371 1
1.0%
1334 1
1.0%
1297 1
1.0%
1285 1
1.0%
1284 1
1.0%
1269 1
1.0%
1245 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.35644
Minimum9
Maximum1683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:09.183126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile50
Q1399
median858
Q31058
95-th percentile1397
Maximum1683
Range1674
Interquartile range (IQR)659

Descriptive statistics

Standard deviation427.14018
Coefficient of variation (CV)0.55018566
Kurtosis-0.90877108
Mean776.35644
Median Absolute Deviation (MAD)365
Skewness-0.12554416
Sum78412
Variance182448.73
MonotonicityNot monotonic
2023-09-29T01:04:09.764037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389 2
 
2.0%
50 2
 
2.0%
305 1
 
1.0%
1123 1
 
1.0%
858 1
 
1.0%
772 1
 
1.0%
631 1
 
1.0%
977 1
 
1.0%
1024 1
 
1.0%
1120 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
19 1
1.0%
21 1
1.0%
22 1
1.0%
45 1
1.0%
50 2
2.0%
55 1
1.0%
85 1
1.0%
107 1
1.0%
146 1
1.0%
ValueCountFrequency (%)
1683 1
1.0%
1630 1
1.0%
1500 1
1.0%
1443 1
1.0%
1398 1
1.0%
1397 1
1.0%
1391 1
1.0%
1389 1
1.0%
1370 1
1.0%
1318 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4366.7624
Minimum14
Maximum8796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:11.233283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile74
Q12469
median4535
Q36489
95-th percentile8167
Maximum8796
Range8782
Interquartile range (IQR)4020

Descriptive statistics

Standard deviation2579.3037
Coefficient of variation (CV)0.59066728
Kurtosis-1.0221047
Mean4366.7624
Median Absolute Deviation (MAD)1967
Skewness-0.22175799
Sum441043
Variance6652807.4
MonotonicityNot monotonic
2023-09-29T01:04:12.666825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2851 1
 
1.0%
4189 1
 
1.0%
2580 1
 
1.0%
2469 1
 
1.0%
1922 1
 
1.0%
2928 1
 
1.0%
3393 1
 
1.0%
3672 1
 
1.0%
3495 1
 
1.0%
3351 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
29 1
1.0%
42 1
1.0%
46 1
1.0%
68 1
1.0%
74 1
1.0%
91 1
1.0%
122 1
1.0%
154 1
1.0%
210 1
1.0%
ValueCountFrequency (%)
8796 1
1.0%
8578 1
1.0%
8481 1
1.0%
8474 1
1.0%
8396 1
1.0%
8167 1
1.0%
8032 1
1.0%
8029 1
1.0%
7936 1
1.0%
7793 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2180.6931
Minimum3
Maximum4399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:13.474092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q11009
median2312
Q33318
95-th percentile4055
Maximum4399
Range4396
Interquartile range (IQR)2309

Descriptive statistics

Standard deviation1352.4538
Coefficient of variation (CV)0.62019449
Kurtosis-1.1850628
Mean2180.6931
Median Absolute Deviation (MAD)1049
Skewness-0.27023658
Sum220250
Variance1829131.4
MonotonicityNot monotonic
2023-09-29T01:04:14.515303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
2.0%
1418 1
 
1.0%
2535 1
 
1.0%
1009 1
 
1.0%
860 1
 
1.0%
1324 1
 
1.0%
1510 1
 
1.0%
1643 1
 
1.0%
1626 1
 
1.0%
1553 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
8 1
1.0%
10 2
2.0%
13 1
1.0%
16 1
1.0%
30 1
1.0%
33 1
1.0%
51 1
1.0%
52 1
1.0%
ValueCountFrequency (%)
4399 1
1.0%
4223 1
1.0%
4214 1
1.0%
4205 1
1.0%
4078 1
1.0%
4055 1
1.0%
3976 1
1.0%
3972 1
1.0%
3964 1
1.0%
3939 1
1.0%

북구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.0693
Minimum10
Maximum4397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:15.347010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile64
Q11433
median2175
Q33130
95-th percentile4191
Maximum4397
Range4387
Interquartile range (IQR)1697

Descriptive statistics

Standard deviation1240.795
Coefficient of variation (CV)0.56759181
Kurtosis-0.8291592
Mean2186.0693
Median Absolute Deviation (MAD)851
Skewness-0.14096979
Sum220793
Variance1539572.3
MonotonicityNot monotonic
2023-09-29T01:04:16.279335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1705 2
 
2.0%
2887 2
 
2.0%
2675 2
 
2.0%
1433 1
 
1.0%
2091 1
 
1.0%
1568 1
 
1.0%
1539 1
 
1.0%
1460 1
 
1.0%
1062 1
 
1.0%
1604 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
26 1
1.0%
34 1
1.0%
36 1
1.0%
52 1
1.0%
64 1
1.0%
78 1
1.0%
89 1
1.0%
124 1
1.0%
159 1
1.0%
ValueCountFrequency (%)
4397 1
1.0%
4355 1
1.0%
4318 1
1.0%
4276 1
1.0%
4260 1
1.0%
4191 1
1.0%
4057 1
1.0%
3997 1
1.0%
3977 1
1.0%
3947 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4320.8416
Minimum16
Maximum9177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:17.365061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile98
Q12299
median4334
Q36292
95-th percentile8544
Maximum9177
Range9161
Interquartile range (IQR)3993

Descriptive statistics

Standard deviation2580.7577
Coefficient of variation (CV)0.59728126
Kurtosis-0.94192478
Mean4320.8416
Median Absolute Deviation (MAD)1974
Skewness-0.058712683
Sum436405
Variance6660310.2
MonotonicityNot monotonic
2023-09-29T01:04:18.443596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1816 1
 
1.0%
4325 1
 
1.0%
2777 1
 
1.0%
2536 1
 
1.0%
2036 1
 
1.0%
3151 1
 
1.0%
3510 1
 
1.0%
3638 1
 
1.0%
3698 1
 
1.0%
3493 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
28 1
1.0%
38 1
1.0%
80 1
1.0%
83 1
1.0%
98 1
1.0%
109 1
1.0%
164 1
1.0%
215 1
1.0%
306 1
1.0%
ValueCountFrequency (%)
9177 1
1.0%
9174 1
1.0%
9075 1
1.0%
9023 1
1.0%
8628 1
1.0%
8544 1
1.0%
8236 1
1.0%
7778 1
1.0%
7668 1
1.0%
7625 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2103.5347
Minimum4
Maximum4439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:20.146604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1970
median2177
Q33289
95-th percentile3986
Maximum4439
Range4435
Interquartile range (IQR)2319

Descriptive statistics

Standard deviation1304.4072
Coefficient of variation (CV)0.62010254
Kurtosis-1.1251679
Mean2103.5347
Median Absolute Deviation (MAD)1113
Skewness-0.13672605
Sum212457
Variance1701478.1
MonotonicityNot monotonic
2023-09-29T01:04:21.077986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3081 2
 
2.0%
934 1
 
1.0%
2177 1
 
1.0%
1376 1
 
1.0%
1205 1
 
1.0%
1110 1
 
1.0%
942 1
 
1.0%
1393 1
 
1.0%
1573 1
 
1.0%
1615 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
6 1
1.0%
15 1
1.0%
23 1
1.0%
24 1
1.0%
28 1
1.0%
40 1
1.0%
45 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
4439 1
1.0%
4265 1
1.0%
4227 1
1.0%
4220 1
1.0%
4152 1
1.0%
3986 1
1.0%
3902 1
1.0%
3863 1
1.0%
3766 1
1.0%
3762 1
1.0%

수성구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2217.3069
Minimum12
Maximum4912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:21.912745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile74
Q11318
median2143
Q33107
95-th percentile4640
Maximum4912
Range4900
Interquartile range (IQR)1789

Descriptive statistics

Standard deviation1301.9272
Coefficient of variation (CV)0.58716598
Kurtosis-0.67563858
Mean2217.3069
Median Absolute Deviation (MAD)955
Skewness0.10050369
Sum223948
Variance1695014.4
MonotonicityNot monotonic
2023-09-29T01:04:22.760636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1572 2
 
2.0%
1094 2
 
2.0%
2751 1
 
1.0%
1426 1
 
1.0%
1758 1
 
1.0%
1937 1
 
1.0%
2023 1
 
1.0%
1962 1
 
1.0%
1887 1
 
1.0%
2143 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
12 1
1.0%
23 1
1.0%
32 1
1.0%
57 1
1.0%
68 1
1.0%
74 1
1.0%
81 1
1.0%
124 1
1.0%
170 1
1.0%
221 1
1.0%
ValueCountFrequency (%)
4912 1
1.0%
4855 1
1.0%
4796 1
1.0%
4735 1
1.0%
4726 1
1.0%
4640 1
1.0%
4392 1
1.0%
4251 1
1.0%
3915 1
1.0%
3908 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5697.1683
Minimum18
Maximum11594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:23.672300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile94
Q12845
median5975
Q38526
95-th percentile10845
Maximum11594
Range11576
Interquartile range (IQR)5681

Descriptive statistics

Standard deviation3474.8171
Coefficient of variation (CV)0.60992003
Kurtosis-1.1248284
Mean5697.1683
Median Absolute Deviation (MAD)2787
Skewness-0.16299138
Sum575414
Variance12074354
MonotonicityNot monotonic
2023-09-29T01:04:24.515203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3258 1
 
1.0%
5545 1
 
1.0%
2948 1
 
1.0%
2845 1
 
1.0%
2337 1
 
1.0%
3712 1
 
1.0%
4230 1
 
1.0%
4514 1
 
1.0%
4481 1
 
1.0%
4461 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
27 1
1.0%
28 1
1.0%
68 1
1.0%
70 1
1.0%
94 1
1.0%
108 1
1.0%
157 1
1.0%
188 1
1.0%
260 1
1.0%
ValueCountFrequency (%)
11594 1
1.0%
11260 1
1.0%
11161 1
1.0%
11097 1
1.0%
10864 1
1.0%
10845 1
1.0%
10767 1
1.0%
10610 1
1.0%
10548 1
1.0%
10546 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2825.8515
Minimum3
Maximum5560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:25.355681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile18
Q11232
median2925
Q34347
95-th percentile5191
Maximum5560
Range5557
Interquartile range (IQR)3115

Descriptive statistics

Standard deviation1780.3951
Coefficient of variation (CV)0.63003845
Kurtosis-1.254504
Mean2825.8515
Median Absolute Deviation (MAD)1559
Skewness-0.25950456
Sum285411
Variance3169806.6
MonotonicityNot monotonic
2023-09-29T01:04:26.091542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5040 2
 
2.0%
2925 1
 
1.0%
1510 1
 
1.0%
1232 1
 
1.0%
1256 1
 
1.0%
1088 1
 
1.0%
1757 1
 
1.0%
1963 1
 
1.0%
2114 1
 
1.0%
2159 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
12 1
1.0%
14 1
1.0%
18 1
1.0%
30 1
1.0%
33 1
1.0%
36 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
5560 1
1.0%
5530 1
1.0%
5469 1
1.0%
5389 1
1.0%
5215 1
1.0%
5191 1
1.0%
5177 1
1.0%
5124 1
1.0%
5089 1
1.0%
5040 2
2.0%

달서구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2871.3168
Minimum15
Maximum6034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:26.787216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile76
Q11555
median2846
Q34153
95-th percentile5576
Maximum6034
Range6019
Interquartile range (IQR)2598

Descriptive statistics

Standard deviation1714.6711
Coefficient of variation (CV)0.59717237
Kurtosis-0.94694806
Mean2871.3168
Median Absolute Deviation (MAD)1307
Skewness-0.024070983
Sum290003
Variance2940096.9
MonotonicityNot monotonic
2023-09-29T01:04:27.413347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2495 2
 
2.0%
56 2
 
2.0%
1503 1
 
1.0%
2797 1
 
1.0%
1716 1
 
1.0%
1589 1
 
1.0%
1249 1
 
1.0%
1955 1
 
1.0%
2267 1
 
1.0%
2400 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
15 1
1.0%
21 1
1.0%
23 1
1.0%
56 2
2.0%
76 1
1.0%
78 1
1.0%
124 1
1.0%
152 1
1.0%
192 1
1.0%
265 1
1.0%
ValueCountFrequency (%)
6034 1
1.0%
5791 1
1.0%
5772 1
1.0%
5721 1
1.0%
5687 1
1.0%
5576 1
1.0%
5570 1
1.0%
5567 1
1.0%
5457 1
1.0%
5453 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2443.7921
Minimum5
Maximum5135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:28.225116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile46
Q11122
median2716
Q33786
95-th percentile4314
Maximum5135
Range5130
Interquartile range (IQR)2664

Descriptive statistics

Standard deviation1458.6477
Coefficient of variation (CV)0.59687879
Kurtosis-1.0430221
Mean2443.7921
Median Absolute Deviation (MAD)1191
Skewness-0.24719123
Sum246823
Variance2127653
MonotonicityNot monotonic
2023-09-29T01:04:28.928571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2716 1
 
1.0%
2056 1
 
1.0%
1181 1
 
1.0%
1122 1
 
1.0%
993 1
 
1.0%
1340 1
 
1.0%
1638 1
 
1.0%
1825 1
 
1.0%
1792 1
 
1.0%
1766 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
5 1
1.0%
17 1
1.0%
19 1
1.0%
23 1
1.0%
28 1
1.0%
46 1
1.0%
52 1
1.0%
59 1
1.0%
84 1
1.0%
151 1
1.0%
ValueCountFrequency (%)
5135 1
1.0%
5090 1
1.0%
4976 1
1.0%
4952 1
1.0%
4389 1
1.0%
4314 1
1.0%
4284 1
1.0%
4229 1
1.0%
4217 1
1.0%
4196 1
1.0%

달성군 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1243.6337
Minimum0
Maximum2686
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:29.580836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1489
median1392
Q31891
95-th percentile2207
Maximum2686
Range2686
Interquartile range (IQR)1402

Descriptive statistics

Standard deviation782.04401
Coefficient of variation (CV)0.62883792
Kurtosis-1.1390801
Mean1243.6337
Median Absolute Deviation (MAD)591
Skewness-0.27508773
Sum125607
Variance611592.83
MonotonicityNot monotonic
2023-09-29T01:04:30.475404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1386 2
 
2.0%
160 2
 
2.0%
2152 2
 
2.0%
995 1
 
1.0%
522 1
 
1.0%
495 1
 
1.0%
640 1
 
1.0%
787 1
 
1.0%
922 1
 
1.0%
885 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
4 1
1.0%
6 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
15 1
1.0%
21 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
2686 1
1.0%
2676 1
1.0%
2544 1
1.0%
2502 1
1.0%
2236 1
1.0%
2207 1
1.0%
2185 1
1.0%
2171 1
1.0%
2162 1
1.0%
2155 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1200.1584
Minimum3
Maximum2474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:04:31.404363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile37
Q1692
median1262
Q31772
95-th percentile2122
Maximum2474
Range2471
Interquartile range (IQR)1080

Descriptive statistics

Standard deviation682.60786
Coefficient of variation (CV)0.5687648
Kurtosis-0.91891485
Mean1200.1584
Median Absolute Deviation (MAD)570
Skewness-0.20411043
Sum121216
Variance465953.49
MonotonicityNot monotonic
2023-09-29T01:04:32.138505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 2
 
2.0%
17 2
 
2.0%
907 2
 
2.0%
1347 1
 
1.0%
1453 1
 
1.0%
498 1
 
1.0%
700 1
 
1.0%
851 1
 
1.0%
903 1
 
1.0%
1060 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 1
1.0%
15 1
1.0%
17 2
2.0%
20 1
1.0%
37 1
1.0%
42 1
1.0%
44 1
1.0%
63 1
1.0%
126 1
1.0%
130 1
1.0%
ValueCountFrequency (%)
2474 1
1.0%
2449 1
1.0%
2414 1
1.0%
2408 1
1.0%
2204 1
1.0%
2122 1
1.0%
2118 1
1.0%
2107 1
1.0%
2048 1
1.0%
2024 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
00세14803759372105062722342329119011397263593676012963052851141814331816934882325817551503271613691347
11세1778191388643646329317271713671350892453439750374376342417191705228411961088391420781836315416221532
22세196591005696036153103053023151915041007535472773401372378519361849274114231318444123062135327416261648
33세20127102619866616298318309316221471962484478778389389383119921839284714141433472524092316327516531622
44세196911001596765812932882925149214331039541498827428399379019041886310316051498446022612199296614911475
55세2168311125105586143412733165163515301092524568857429428411521072008358718441743505025552495320316901513
66세2167111068106035723042683146164914971024537487807415392404521041941387219451927516125742587304415401504
77세2221211450107625752982773005155114541116568548858462396414121392002417321492024537127822589297315011472
88세20214104899725496272224287315121361885449436737374363376219161846390920421867502026012419253213231209
99세2104610953100934722412312774143713371014506508881466415392120071914433422812053510027042396255013111239
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
9191세1547348119990177325246206137221151413410721051159306852212606819215125126
9292세1040217823491534159311288821671031885154301242154517018836152842163
9393세84419265241833162391237166568185012233891644012415733124591544
9494세6001244763510251021785671156599507410641092881108307846937
9595세5121054073052567125535629631845911378802357941876521042
9696세355632922021860753307232542146103683156868125623617
9797세2235117221615341420163132532242834386322872119415
9898세18528157124836630143112231929326285232742317017
9999세10628785142261613491349144101641218315523
100100세 이상624139485901674108238590216972175568165298247470145628820