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

Description2018.08.31.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=307775718384d665d499&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 00:59:06.267501
Analysis finished2023-09-29 00:59:07.186790
Duration0.92 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
2023-09-29T00:59:07.856962image/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%
2023-09-29T00:59:09.766627image/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%
Mean24429.554
Minimum113
Maximum47918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:10.457967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile555
Q114559
median25545
Q335305
95-th percentile44649
Maximum47918
Range47805
Interquartile range (IQR)20746

Descriptive statistics

Standard deviation13848.079
Coefficient of variation (CV)0.5668576
Kurtosis-0.96594921
Mean24429.554
Median Absolute Deviation (MAD)10131
Skewness-0.27964685
Sum2467385
Variance1.9176928 × 108
MonotonicityNot monotonic
2023-09-29T00:59:11.396311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14442 1
 
1.0%
27173 1
 
1.0%
16342 1
 
1.0%
15190 1
 
1.0%
12754 1
 
1.0%
19871 1
 
1.0%
21766 1
 
1.0%
23531 1
 
1.0%
22205 1
 
1.0%
20966 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
113 1
1.0%
189 1
1.0%
240 1
1.0%
380 1
1.0%
523 1
1.0%
555 1
1.0%
621 1
1.0%
889 1
1.0%
1024 1
1.0%
1573 1
1.0%
ValueCountFrequency (%)
47918 1
1.0%
46378 1
1.0%
45784 1
1.0%
45615 1
1.0%
44850 1
1.0%
44649 1
1.0%
43483 1
1.0%
43350 1
1.0%
43086 1
1.0%
42894 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12105.455
Minimum22
Maximum23278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:12.975202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile112
Q16606
median12889
Q318156
95-th percentile21579
Maximum23278
Range23256
Interquartile range (IQR)11550

Descriptive statistics

Standard deviation7189.7874
Coefficient of variation (CV)0.59392952
Kurtosis-1.121182
Mean12105.455
Median Absolute Deviation (MAD)5945
Skewness-0.34365749
Sum1222651
Variance51693042
MonotonicityNot monotonic
2023-09-29T00:59:14.088929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7370 1
 
1.0%
13015 1
 
1.0%
6899 1
 
1.0%
6606 1
 
1.0%
5816 1
 
1.0%
8937 1
 
1.0%
9952 1
 
1.0%
10793 1
 
1.0%
10532 1
 
1.0%
9746 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
22 1
1.0%
35 1
1.0%
46 1
1.0%
79 1
1.0%
109 1
1.0%
112 1
1.0%
142 1
1.0%
189 1
1.0%
210 1
1.0%
349 1
1.0%
ValueCountFrequency (%)
23278 1
1.0%
22683 1
1.0%
22555 1
1.0%
22547 1
1.0%
22007 1
1.0%
21579 1
1.0%
21471 1
1.0%
21435 1
1.0%
21045 1
1.0%
21000 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12324.099
Minimum91
Maximum24640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:15.062318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile446
Q18304
median12227
Q317663
95-th percentile22843
Maximum24640
Range24549
Interquartile range (IQR)9359

Descriptive statistics

Standard deviation6741.1202
Coefficient of variation (CV)0.54698686
Kurtosis-0.80098436
Mean12324.099
Median Absolute Deviation (MAD)4857
Skewness-0.18640311
Sum1244734
Variance45442702
MonotonicityNot monotonic
2023-09-29T00:59:15.870505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7072 1
 
1.0%
14158 1
 
1.0%
9443 1
 
1.0%
8584 1
 
1.0%
6938 1
 
1.0%
10934 1
 
1.0%
11814 1
 
1.0%
12738 1
 
1.0%
11673 1
 
1.0%
11220 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
91 1
1.0%
154 1
1.0%
194 1
1.0%
301 1
1.0%
411 1
1.0%
446 1
1.0%
479 1
1.0%
700 1
1.0%
814 1
1.0%
1224 1
1.0%
ValueCountFrequency (%)
24640 1
1.0%
23695 1
1.0%
23229 1
1.0%
23178 1
1.0%
23068 1
1.0%
22843 1
1.0%
22086 1
1.0%
22048 1
1.0%
21997 1
1.0%
21771 1
1.0%

중구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.07921
Minimum7
Maximum1361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:16.771188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q1506
median837
Q31139
95-th percentile1299
Maximum1361
Range1354
Interquartile range (IQR)633

Descriptive statistics

Standard deviation406.87855
Coefficient of variation (CV)0.52427451
Kurtosis-1.0160881
Mean776.07921
Median Absolute Deviation (MAD)324
Skewness-0.43200279
Sum78384
Variance165550.15
MonotonicityNot monotonic
2023-09-29T00:59:18.112100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
813 2
 
2.0%
512 1
 
1.0%
623 1
 
1.0%
837 1
 
1.0%
671 1
 
1.0%
621 1
 
1.0%
862 1
 
1.0%
917 1
 
1.0%
957 1
 
1.0%
903 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
17 1
1.0%
18 1
1.0%
21 1
1.0%
30 1
1.0%
38 1
1.0%
42 1
1.0%
51 1
1.0%
86 1
1.0%
88 1
1.0%
ValueCountFrequency (%)
1361 1
1.0%
1354 1
1.0%
1345 1
1.0%
1307 1
1.0%
1302 1
1.0%
1299 1
1.0%
1281 1
1.0%
1248 1
1.0%
1247 1
1.0%
1246 1
1.0%

중구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.53465
Minimum2
Maximum675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:18.603541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1247
median379
Q3564
95-th percentile649
Maximum675
Range673
Interquartile range (IQR)317

Descriptive statistics

Standard deviation211.59005
Coefficient of variation (CV)0.56194046
Kurtosis-1.0918026
Mean376.53465
Median Absolute Deviation (MAD)181
Skewness-0.36304656
Sum38030
Variance44770.351
MonotonicityNot monotonic
2023-09-29T00:59:19.379530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
633 2
 
2.0%
2 2
 
2.0%
7 2
 
2.0%
582 2
 
2.0%
529 2
 
2.0%
561 2
 
2.0%
420 1
 
1.0%
277 1
 
1.0%
270 1
 
1.0%
367 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
2 2
2.0%
3 1
1.0%
7 2
2.0%
9 1
1.0%
11 1
1.0%
13 1
1.0%
15 1
1.0%
17 1
1.0%
30 1
1.0%
39 1
1.0%
ValueCountFrequency (%)
675 1
1.0%
669 1
1.0%
665 1
1.0%
658 1
1.0%
653 1
1.0%
649 1
1.0%
635 1
1.0%
633 2
2.0%
631 1
1.0%
627 1
1.0%

중구 여
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.54455
Minimum5
Maximum726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:20.070800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile31
Q1251
median447
Q3562
95-th percentile653
Maximum726
Range721
Interquartile range (IQR)311

Descriptive statistics

Standard deviation199.45473
Coefficient of variation (CV)0.49920523
Kurtosis-0.94922698
Mean399.54455
Median Absolute Deviation (MAD)150
Skewness-0.45888896
Sum40354
Variance39782.19
MonotonicityNot monotonic
2023-09-29T00:59:21.172241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251 2
 
2.0%
31 2
 
2.0%
519 2
 
2.0%
71 2
 
2.0%
240 2
 
2.0%
562 2
 
2.0%
575 2
 
2.0%
304 2
 
2.0%
545 2
 
2.0%
696 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
14 1
1.0%
19 1
1.0%
21 1
1.0%
31 2
2.0%
38 1
1.0%
71 2
2.0%
88 1
1.0%
90 1
1.0%
ValueCountFrequency (%)
726 1
1.0%
696 1
1.0%
674 1
1.0%
670 1
1.0%
666 1
1.0%
653 1
1.0%
642 1
1.0%
639 1
1.0%
633 1
1.0%
629 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3484.3168
Minimum24
Maximum6916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:22.793940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile104
Q12437
median3695
Q35151
95-th percentile5873
Maximum6916
Range6892
Interquartile range (IQR)2714

Descriptive statistics

Standard deviation1877.285
Coefficient of variation (CV)0.53878138
Kurtosis-0.85386362
Mean3484.3168
Median Absolute Deviation (MAD)1421
Skewness-0.39774223
Sum351916
Variance3524199
MonotonicityNot monotonic
2023-09-29T00:59:24.684301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2724 2
 
2.0%
5416 1
 
1.0%
2813 1
 
1.0%
2214 1
 
1.0%
3398 1
 
1.0%
3735 1
 
1.0%
4063 1
 
1.0%
3872 1
 
1.0%
3505 1
 
1.0%
4761 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
24 1
1.0%
36 1
1.0%
37 1
1.0%
68 1
1.0%
70 1
1.0%
104 1
1.0%
108 1
1.0%
144 1
1.0%
171 1
1.0%
285 1
1.0%
ValueCountFrequency (%)
6916 1
1.0%
6539 1
1.0%
6076 1
1.0%
5962 1
1.0%
5877 1
1.0%
5873 1
1.0%
5871 1
1.0%
5823 1
1.0%
5750 1
1.0%
5706 1
1.0%

동구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.3465
Minimum7
Maximum3250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:26.538911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile15
Q11148
median1809
Q32602
95-th percentile2908
Maximum3250
Range3243
Interquartile range (IQR)1454

Descriptive statistics

Standard deviation975.21445
Coefficient of variation (CV)0.56490075
Kurtosis-1.007531
Mean1726.3465
Median Absolute Deviation (MAD)786
Skewness-0.45544157
Sum174361
Variance951043.23
MonotonicityNot monotonic
2023-09-29T00:59:27.360415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2889 3
 
3.0%
15 2
 
2.0%
1148 1
 
1.0%
2077 1
 
1.0%
1168 1
 
1.0%
1002 1
 
1.0%
1524 1
 
1.0%
1704 1
 
1.0%
1884 1
 
1.0%
1809 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
10 1
1.0%
13 1
1.0%
15 2
2.0%
23 1
1.0%
27 1
1.0%
36 1
1.0%
62 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
3250 1
 
1.0%
3065 1
 
1.0%
2987 1
 
1.0%
2981 1
 
1.0%
2912 1
 
1.0%
2908 1
 
1.0%
2902 1
 
1.0%
2889 3
3.0%
2880 1
 
1.0%
2876 1
 
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.9703
Minimum17
Maximum3666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:28.501269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile85
Q11258
median1871
Q32556
95-th percentile2988
Maximum3666
Range3649
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation920.29168
Coefficient of variation (CV)0.52349672
Kurtosis-0.68914282
Mean1757.9703
Median Absolute Deviation (MAD)657
Skewness-0.27718713
Sum177555
Variance846936.77
MonotonicityNot monotonic
2023-09-29T00:59:29.588532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1751 2
 
2.0%
2115 2
 
2.0%
2371 1
 
1.0%
1616 1
 
1.0%
1556 1
 
1.0%
1212 1
 
1.0%
1874 1
 
1.0%
2031 1
 
1.0%
2179 1
 
1.0%
2063 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
17 1
1.0%
24 1
1.0%
28 1
1.0%
53 1
1.0%
60 1
1.0%
85 1
1.0%
89 1
1.0%
117 1
1.0%
135 1
1.0%
223 1
1.0%
ValueCountFrequency (%)
3666 1
1.0%
3474 1
1.0%
3200 1
1.0%
3073 1
1.0%
3019 1
1.0%
2988 1
1.0%
2976 1
1.0%
2965 1
1.0%
2938 1
1.0%
2932 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1854.297
Minimum5
Maximum4508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:30.327429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile55
Q1990
median1952
Q32701
95-th percentile3696
Maximum4508
Range4503
Interquartile range (IQR)1711

Descriptive statistics

Standard deviation1160.2395
Coefficient of variation (CV)0.62570313
Kurtosis-0.85451144
Mean1854.297
Median Absolute Deviation (MAD)909
Skewness0.13339738
Sum187284
Variance1346155.6
MonotonicityNot monotonic
2023-09-29T00:59:31.092198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2782 2
 
2.0%
699 1
 
1.0%
2937 1
 
1.0%
1825 1
 
1.0%
1711 1
 
1.0%
1524 1
 
1.0%
1231 1
 
1.0%
2000 1
 
1.0%
2249 1
 
1.0%
2465 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
5 1
1.0%
14 1
1.0%
20 1
1.0%
28 1
1.0%
52 1
1.0%
55 1
1.0%
67 1
1.0%
90 1
1.0%
94 1
1.0%
132 1
1.0%
ValueCountFrequency (%)
4508 1
1.0%
4286 1
1.0%
3933 1
1.0%
3887 1
1.0%
3856 1
1.0%
3696 1
1.0%
3663 1
1.0%
3571 1
1.0%
3522 1
1.0%
3515 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean933.82178
Minimum0
Maximum2201
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:31.778350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1487
median1032
Q31402
95-th percentile1863
Maximum2201
Range2201
Interquartile range (IQR)915

Descriptive statistics

Standard deviation606.74002
Coefficient of variation (CV)0.64973856
Kurtosis-1.1139587
Mean933.82178
Median Absolute Deviation (MAD)518
Skewness0.0051534786
Sum94316
Variance368133.45
MonotonicityNot monotonic
2023-09-29T00:59:32.683938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1382 2
 
2.0%
1295 2
 
2.0%
5 2
 
2.0%
990 2
 
2.0%
1403 1
 
1.0%
789 1
 
1.0%
698 1
 
1.0%
699 1
 
1.0%
552 1
 
1.0%
868 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
5 2
2.0%
6 1
1.0%
9 1
1.0%
11 1
1.0%
18 1
1.0%
22 1
1.0%
24 1
1.0%
40 1
1.0%
ValueCountFrequency (%)
2201 1
1.0%
2064 1
1.0%
1946 1
1.0%
1937 1
1.0%
1881 1
1.0%
1863 1
1.0%
1860 1
1.0%
1851 1
1.0%
1800 1
1.0%
1733 1
1.0%

서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean920.47525
Minimum5
Maximum2307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:33.425050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile47
Q1490
median898
Q31219
95-th percentile1845
Maximum2307
Range2302
Interquartile range (IQR)729

Descriptive statistics

Standard deviation566.88441
Coefficient of variation (CV)0.61586057
Kurtosis-0.57703673
Mean920.47525
Median Absolute Deviation (MAD)394
Skewness0.31333712
Sum92968
Variance321357.93
MonotonicityNot monotonic
2023-09-29T00:59:34.153616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
357 1
 
1.0%
1450 1
 
1.0%
1013 1
 
1.0%
825 1
 
1.0%
679 1
 
1.0%
1132 1
 
1.0%
1217 1
 
1.0%
1323 1
 
1.0%
1142 1
 
1.0%
1131 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
5 1
1.0%
12 1
1.0%
15 1
1.0%
22 1
1.0%
46 1
1.0%
47 1
1.0%
56 1
1.0%
70 1
1.0%
72 1
1.0%
110 1
1.0%
ValueCountFrequency (%)
2307 1
1.0%
2222 1
1.0%
2027 1
1.0%
1996 1
1.0%
1910 1
1.0%
1845 1
1.0%
1819 1
1.0%
1789 1
1.0%
1782 1
1.0%
1772 1
1.0%

남구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1503.099
Minimum9
Maximum3144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:35.091938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile61
Q1808
median1687
Q32198
95-th percentile2654
Maximum3144
Range3135
Interquartile range (IQR)1390

Descriptive statistics

Standard deviation844.63082
Coefficient of variation (CV)0.56192627
Kurtosis-1.0601431
Mean1503.099
Median Absolute Deviation (MAD)725
Skewness-0.20969493
Sum151813
Variance713401.23
MonotonicityNot monotonic
2023-09-29T00:59:35.769091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 2
 
2.0%
607 1
 
1.0%
2672 1
 
1.0%
1287 1
 
1.0%
1170 1
 
1.0%
1833 1
 
1.0%
1867 1
 
1.0%
2011 1
 
1.0%
1828 1
 
1.0%
1741 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
9 1
1.0%
24 1
1.0%
27 1
1.0%
29 1
1.0%
58 1
1.0%
61 1
1.0%
73 2
2.0%
108 1
1.0%
150 1
1.0%
206 1
1.0%
ValueCountFrequency (%)
3144 1
1.0%
3027 1
1.0%
2816 1
1.0%
2724 1
1.0%
2672 1
1.0%
2654 1
1.0%
2649 1
1.0%
2599 1
1.0%
2590 1
1.0%
2542 1
1.0%

남구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.50495
Minimum2
Maximum1485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:37.673534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1402
median815
Q31076
95-th percentile1285
Maximum1485
Range1483
Interquartile range (IQR)674

Descriptive statistics

Standard deviation426.8744
Coefficient of variation (CV)0.58676494
Kurtosis-1.1882361
Mean727.50495
Median Absolute Deviation (MAD)354
Skewness-0.24828431
Sum73478
Variance182221.75
MonotonicityNot monotonic
2023-09-29T00:59:38.868829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
307 1
 
1.0%
993 1
 
1.0%
614 1
 
1.0%
542 1
 
1.0%
495 1
 
1.0%
818 1
 
1.0%
815 1
 
1.0%
881 1
 
1.0%
858 1
 
1.0%
760 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
8 1
1.0%
11 1
1.0%
14 1
1.0%
16 1
1.0%
17 1
1.0%
18 1
1.0%
39 1
1.0%
ValueCountFrequency (%)
1485 1
1.0%
1382 1
1.0%
1337 1
1.0%
1336 1
1.0%
1304 1
1.0%
1285 1
1.0%
1282 1
1.0%
1268 1
1.0%
1266 1
1.0%
1245 1
1.0%

남구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775.59406
Minimum7
Maximum1659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:39.722033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile47
Q1408
median841
Q31076
95-th percentile1387
Maximum1659
Range1652
Interquartile range (IQR)668

Descriptive statistics

Standard deviation427.36381
Coefficient of variation (CV)0.5510148
Kurtosis-0.92059885
Mean775.59406
Median Absolute Deviation (MAD)354
Skewness-0.12068889
Sum78335
Variance182639.82
MonotonicityNot monotonic
2023-09-29T00:59:40.509380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 2
 
2.0%
47 2
 
2.0%
753 2
 
2.0%
300 1
 
1.0%
1339 1
 
1.0%
1015 1
 
1.0%
1052 1
 
1.0%
1130 1
 
1.0%
970 1
 
1.0%
981 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
21 2
2.0%
23 1
1.0%
47 2
2.0%
56 1
1.0%
57 1
1.0%
90 1
1.0%
111 1
1.0%
141 1
1.0%
196 1
1.0%
ValueCountFrequency (%)
1659 1
1.0%
1645 1
1.0%
1548 1
1.0%
1434 1
1.0%
1404 1
1.0%
1387 1
1.0%
1372 1
1.0%
1364 1
1.0%
1339 1
1.0%
1307 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4354.802
Minimum15
Maximum8662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:41.495816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile76
Q12442
median4416
Q36493
95-th percentile8290
Maximum8662
Range8647
Interquartile range (IQR)4051

Descriptive statistics

Standard deviation2562.3815
Coefficient of variation (CV)0.58840367
Kurtosis-1.007327
Mean4354.802
Median Absolute Deviation (MAD)2077
Skewness-0.21988493
Sum439835
Variance6565798.8
MonotonicityNot monotonic
2023-09-29T00:59:42.333131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2785 1
 
1.0%
4416 1
 
1.0%
2592 1
 
1.0%
2442 1
 
1.0%
1981 1
 
1.0%
3090 1
 
1.0%
3464 1
 
1.0%
3755 1
 
1.0%
3430 1
 
1.0%
3340 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
15 1
1.0%
34 1
1.0%
42 1
1.0%
53 1
1.0%
70 1
1.0%
76 1
1.0%
88 1
1.0%
122 1
1.0%
151 1
1.0%
226 1
1.0%
ValueCountFrequency (%)
8662 1
1.0%
8636 1
1.0%
8442 1
1.0%
8365 1
1.0%
8317 1
1.0%
8290 1
1.0%
8288 1
1.0%
8058 1
1.0%
7831 1
1.0%
7678 1
1.0%

북구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2173.9802
Minimum2
Maximum4294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:43.161074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile17
Q11029
median2207
Q33302
95-th percentile4104
Maximum4294
Range4292
Interquartile range (IQR)2273

Descriptive statistics

Standard deviation1343.0602
Coefficient of variation (CV)0.61778861
Kurtosis-1.1744081
Mean2173.9802
Median Absolute Deviation (MAD)1163
Skewness-0.27142799
Sum219572
Variance1803810.7
MonotonicityNot monotonic
2023-09-29T00:59:44.546046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1410 1
 
1.0%
2173 1
 
1.0%
1041 1
 
1.0%
1029 1
 
1.0%
889 1
 
1.0%
1385 1
 
1.0%
1541 1
 
1.0%
1717 1
 
1.0%
1587 1
 
1.0%
1534 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
7 1
1.0%
10 1
1.0%
13 1
1.0%
17 1
1.0%
18 1
1.0%
27 1
1.0%
29 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
4294 1
1.0%
4287 1
1.0%
4154 1
1.0%
4142 1
1.0%
4127 1
1.0%
4104 1
1.0%
4037 1
1.0%
3937 1
1.0%
3916 1
1.0%
3881 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2180.8218
Minimum13
Maximum4375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:45.683800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile59
Q11375
median2191
Q33145
95-th percentile4190
Maximum4375
Range4362
Interquartile range (IQR)1770

Descriptive statistics

Standard deviation1233.2503
Coefficient of variation (CV)0.56549798
Kurtosis-0.80893776
Mean2180.8218
Median Absolute Deviation (MAD)823
Skewness-0.13549168
Sum220263
Variance1520906.3
MonotonicityNot monotonic
2023-09-29T00:59:46.597508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1848 2
 
2.0%
1375 1
 
1.0%
2298 1
 
1.0%
1611 1
 
1.0%
1551 1
 
1.0%
1413 1
 
1.0%
1092 1
 
1.0%
1705 1
 
1.0%
1923 1
 
1.0%
2038 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
30 1
1.0%
35 1
1.0%
40 1
1.0%
52 1
1.0%
59 1
1.0%
78 1
1.0%
95 1
1.0%
122 1
1.0%
175 1
1.0%
ValueCountFrequency (%)
4375 1
1.0%
4342 1
1.0%
4288 1
1.0%
4261 1
1.0%
4253 1
1.0%
4190 1
1.0%
4146 1
1.0%
4121 1
1.0%
3915 1
1.0%
3849 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4300.8119
Minimum22
Maximum9282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:47.525986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile94
Q12254
median4378
Q36233
95-th percentile8466
Maximum9282
Range9260
Interquartile range (IQR)3979

Descriptive statistics

Standard deviation2558.5716
Coefficient of variation (CV)0.59490432
Kurtosis-0.9306613
Mean4300.8119
Median Absolute Deviation (MAD)2004
Skewness-0.06598983
Sum434382
Variance6546288.4
MonotonicityNot monotonic
2023-09-29T00:59:48.310111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 2
 
2.0%
1739 1
 
1.0%
5419 1
 
1.0%
2534 1
 
1.0%
2097 1
 
1.0%
3289 1
 
1.0%
3529 1
 
1.0%
3744 1
 
1.0%
3638 1
 
1.0%
3392 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
22 1
1.0%
30 1
1.0%
40 1
1.0%
78 2
2.0%
94 1
1.0%
100 1
1.0%
178 1
1.0%
213 1
1.0%
281 1
1.0%
408 1
1.0%
ValueCountFrequency (%)
9282 1
1.0%
9049 1
1.0%
8950 1
1.0%
8790 1
1.0%
8774 1
1.0%
8466 1
1.0%
8166 1
1.0%
8017 1
1.0%
7607 1
1.0%
7605 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2092.1287
Minimum3
Maximum4327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:49.242506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile23
Q11027
median2145
Q33170
95-th percentile3905
Maximum4327
Range4324
Interquartile range (IQR)2143

Descriptive statistics

Standard deviation1291.0479
Coefficient of variation (CV)0.61709773
Kurtosis-1.1192647
Mean2092.1287
Median Absolute Deviation (MAD)1057
Skewness-0.14820746
Sum211305
Variance1666804.7
MonotonicityNot monotonic
2023-09-29T00:59:50.305501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
894 1
 
1.0%
2093 1
 
1.0%
1193 1
 
1.0%
1109 1
 
1.0%
975 1
 
1.0%
1447 1
 
1.0%
1584 1
 
1.0%
1668 1
 
1.0%
1706 1
 
1.0%
1568 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
5 1
1.0%
6 1
1.0%
21 1
1.0%
22 1
1.0%
23 1
1.0%
24 1
1.0%
38 1
1.0%
53 1
1.0%
72 1
1.0%
ValueCountFrequency (%)
4327 1
1.0%
4313 1
1.0%
4267 1
1.0%
4208 1
1.0%
4074 1
1.0%
3905 1
1.0%
3806 1
1.0%
3781 1
1.0%
3760 1
1.0%
3749 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2208.6832
Minimum17
Maximum4969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:51.287206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile70
Q11245
median2229
Q33113
95-th percentile4579
Maximum4969
Range4952
Interquartile range (IQR)1868

Descriptive statistics

Standard deviation1292.2919
Coefficient of variation (CV)0.58509611
Kurtosis-0.67017129
Mean2208.6832
Median Absolute Deviation (MAD)891
Skewness0.093005988
Sum223077
Variance1670018.5
MonotonicityNot monotonic
2023-09-29T00:59:52.151741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
845 1
 
1.0%
2285 1
 
1.0%
1533 1
 
1.0%
1425 1
 
1.0%
1122 1
 
1.0%
1842 1
 
1.0%
1945 1
 
1.0%
2076 1
 
1.0%
1932 1
 
1.0%
1824 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
27 1
1.0%
34 1
1.0%
56 1
1.0%
57 1
1.0%
70 1
1.0%
77 1
1.0%
140 1
1.0%
160 1
1.0%
209 1
1.0%
ValueCountFrequency (%)
4969 1
1.0%
4742 1
1.0%
4722 1
1.0%
4700 1
1.0%
4685 1
1.0%
4579 1
1.0%
4523 1
1.0%
4112 1
1.0%
4033 1
1.0%
3941 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5691.7426
Minimum21
Maximum11652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:53.095613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile96
Q12868
median5948
Q38446
95-th percentile10747
Maximum11652
Range11631
Interquartile range (IQR)5578

Descriptive statistics

Standard deviation3461.3062
Coefficient of variation (CV)0.60812768
Kurtosis-1.1081121
Mean5691.7426
Median Absolute Deviation (MAD)2683
Skewness-0.16022
Sum574866
Variance11980641
MonotonicityNot monotonic
2023-09-29T00:59:54.058960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3149 1
 
1.0%
5824 1
 
1.0%
2981 1
 
1.0%
2868 1
 
1.0%
2442 1
 
1.0%
3928 1
 
1.0%
4299 1
 
1.0%
4676 1
 
1.0%
4450 1
 
1.0%
4367 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
21 1
1.0%
22 1
1.0%
37 1
1.0%
65 1
1.0%
70 1
1.0%
96 1
1.0%
97 1
1.0%
163 1
1.0%
180 1
1.0%
265 1
1.0%
ValueCountFrequency (%)
11652 1
1.0%
11495 1
1.0%
11281 1
1.0%
11082 1
1.0%
10908 1
1.0%
10747 1
1.0%
10659 1
1.0%
10640 1
1.0%
10470 1
1.0%
10442 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2821.198
Minimum2
Maximum5692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:55.082418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile22
Q11258
median2845
Q34250
95-th percentile5298
Maximum5692
Range5690
Interquartile range (IQR)2992

Descriptive statistics

Standard deviation1773.4246
Coefficient of variation (CV)0.62860693
Kurtosis-1.2416044
Mean2821.198
Median Absolute Deviation (MAD)1575
Skewness-0.25627537
Sum284941
Variance3145034.9
MonotonicityNot monotonic
2023-09-29T00:59:55.831778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4006 2
 
2.0%
2845 1
 
1.0%
1270 1
 
1.0%
1258 1
 
1.0%
1150 1
 
1.0%
1829 1
 
1.0%
2036 1
 
1.0%
2195 1
 
1.0%
2131 1
 
1.0%
2080 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
8 1
1.0%
10 1
1.0%
13 1
1.0%
22 1
1.0%
27 1
1.0%
32 1
1.0%
37 1
1.0%
61 1
1.0%
ValueCountFrequency (%)
5692 1
1.0%
5502 1
1.0%
5403 1
1.0%
5379 1
1.0%
5313 1
1.0%
5298 1
1.0%
5146 1
1.0%
5048 1
1.0%
5035 1
1.0%
5016 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2870.5446
Minimum14
Maximum5993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T00:59:57.248306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile69
Q11610
median2856
Q34141
95-th percentile5595
Maximum5993
Range5979
Interquartile range (IQR)2531

Descriptive statistics

Standard deviation1707.9331
Coefficient of variation (CV)0.59498574
Kurtosis-0.92772506
Mean2870.5446
Median Absolute Deviation (MAD)1285
Skewness-0.022330338
Sum289925
Variance2917035.4
MonotonicityNot monotonic
2023-09-29T00:59:59.228709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1504 1
 
1.0%
2979 1
 
1.0%
1711 1
 
1.0%
1610 1
 
1.0%
1292 1
 
1.0%
2099 1
 
1.0%
2263 1
 
1.0%
2481 1
 
1.0%
2319 1
 
1.0%
2287 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
19 1
1.0%
34 1
1.0%
55 1
1.0%
57 1
1.0%
69 1
1.0%
75 1
1.0%
131 1
1.0%
143 1
1.0%
204 1
1.0%
ValueCountFrequency (%)
5993 1
1.0%
5960 1
1.0%
5878 1
1.0%
5784 1
1.0%
5601 1
1.0%
5595 1
1.0%
5592 1
1.0%
5459 1
1.0%
5423 1
1.0%
5407 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2464.4059
Minimum10
Maximum5212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:00:01.635574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile38
Q11140
median2787
Q33806
95-th percentile4367
Maximum5212
Range5202
Interquartile range (IQR)2666

Descriptive statistics

Standard deviation1464.6232
Coefficient of variation (CV)0.59431084
Kurtosis-1.0249853
Mean2464.4059
Median Absolute Deviation (MAD)1137
Skewness-0.25358469
Sum248905
Variance2145121
MonotonicityNot monotonic
2023-09-29T01:00:03.176925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2732 1
 
1.0%
2198 1
 
1.0%
1228 1
 
1.0%
1140 1
 
1.0%
998 1
 
1.0%
1471 1
 
1.0%
1706 1
 
1.0%
1860 1
 
1.0%
1824 1
 
1.0%
1710 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
11 1
1.0%
20 1
1.0%
26 1
1.0%
36 1
1.0%
38 1
1.0%
39 1
1.0%
73 1
1.0%
87 1
1.0%
146 1
1.0%
ValueCountFrequency (%)
5212 1
1.0%
5133 1
1.0%
5093 1
1.0%
4890 1
1.0%
4531 1
1.0%
4367 1
1.0%
4231 1
1.0%
4176 1
1.0%
4170 1
1.0%
4145 1
1.0%

달성군 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1253.9406
Minimum0
Maximum2739
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:00:04.493137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1517
median1410
Q31891
95-th percentile2238
Maximum2739
Range2739
Interquartile range (IQR)1374

Descriptive statistics

Standard deviation784.44807
Coefficient of variation (CV)0.62558631
Kurtosis-1.1236545
Mean1253.9406
Median Absolute Deviation (MAD)611
Skewness-0.28340748
Sum126648
Variance615358.78
MonotonicityNot monotonic
2023-09-29T01:00:05.908389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2
 
2.0%
539 2
 
2.0%
1363 1
 
1.0%
1388 1
 
1.0%
483 1
 
1.0%
699 1
 
1.0%
841 1
 
1.0%
911 1
 
1.0%
923 1
 
1.0%
840 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
5 1
1.0%
7 1
1.0%
8 2
2.0%
9 1
1.0%
15 1
1.0%
18 1
1.0%
25 1
1.0%
36 1
1.0%
ValueCountFrequency (%)
2739 1
1.0%
2646 1
1.0%
2611 1
1.0%
2455 1
1.0%
2340 1
1.0%
2238 1
1.0%
2220 1
1.0%
2205 1
1.0%
2192 1
1.0%
2131 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1210.4653
Minimum8
Maximum2487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:00:07.299453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile31
Q1689
median1276
Q31802
95-th percentile2175
Maximum2487
Range2479
Interquartile range (IQR)1113

Descriptive statistics

Standard deviation686.01314
Coefficient of variation (CV)0.56673505
Kurtosis-0.90190591
Mean1210.4653
Median Absolute Deviation (MAD)564
Skewness-0.21043373
Sum122257
Variance470614.03
MonotonicityNot monotonic
2023-09-29T01:00:08.999619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 2
 
2.0%
1176 2
 
2.0%
1369 1
 
1.0%
1101 1
 
1.0%
689 1
 
1.0%
616 1
 
1.0%
515 1
 
1.0%
772 1
 
1.0%
865 1
 
1.0%
949 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
11 1
1.0%
15 1
1.0%
18 1
1.0%
27 1
1.0%
31 2
2.0%
55 1
1.0%
72 1
1.0%
121 1
1.0%
132 1
1.0%
ValueCountFrequency (%)
2487 1
1.0%
2482 1
1.0%
2473 1
1.0%
2435 1
1.0%
2191 1
1.0%
2175 1
1.0%
2129 1
1.0%
2040 1
1.0%
2031 1
1.0%
2011 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
00세14442737070725122612512219114810716993423576073073002785141013751739894845314916451504273213631369
11세1704987458304578311267272414051319847423424667340327325616271629221711341083372519771748303515281507
22세19351988294696133013122971146515061000514486788402386372018881832257113681203437822952083331016491661
33세20121102579864634310324312816191509953501452766384382383019821848290014461454464923572292326116581603
44세19826100759751548289259297815311447989500489806412394375219001852305515611494458223352247311615471569
55세2077710698100796032993043072158114911043521522798421377395220391913346017661694476824332335308116381443
66세2217811310108685893292603167163915281056539517860441419414921022047390019971903530226592643315516041551
77세2217211448107245772912863044158514591079542537856461395412821851943417821452033528727032584302315361487
88세20625106509975506273233289815171381935465470762393369379819501848397120491922509326172476266213861276
99세207351072510010487267220276914371332990508482835413422386019571903427322312042501826532365250312591244
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
9191세1573349122488177128562223132221101503911122651175281722092656120414625121
9292세1024210814511338144271179018721081890151291222135316018037143871572
9393세8891897004211311713613567115673165712227951783814016332131731855
9494세55510944630921104158952547581147761759100237797227538731
9595세523112411387316815535594661144788107878225696276939831
9696세3807930121219701060286222982153134078215765105536927
9797세2404619417314371324205152742342735406343733420515
9898세189351541871136828142122432134430303272281411011
9999세1132291725247175059271521322517212191028
100100세 이상621142479861571108238594247073175670185294247070135726818