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

Description2018.09.30.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571bc5b9c93a841&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
총계 여 has unique valuesUnique
남구 계 has unique valuesUnique
북구 계 has unique valuesUnique
북구 여 has unique valuesUnique
수성구 계 has unique valuesUnique
수성구 여 has unique valuesUnique
달서구 계 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:22:10.853501
Analysis finished2023-12-10 17:22:11.925095
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-11T02:22:12.482203image/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%
2023-12-11T02:22:13.581641image/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%
Mean24420.337
Minimum117
Maximum47453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:14.069070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile564
Q114618
median25160
Q335262
95-th percentile44813
Maximum47453
Range47336
Interquartile range (IQR)20644

Descriptive statistics

Standard deviation13830.368
Coefficient of variation (CV)0.56634632
Kurtosis-0.96767003
Mean24420.337
Median Absolute Deviation (MAD)10478
Skewness-0.28006348
Sum2466454
Variance1.9127907 × 108
MonotonicityNot monotonic
2023-12-11T02:22:14.552067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14157 1
 
1.0%
27629 1
 
1.0%
16319 1
 
1.0%
14651 1
 
1.0%
13392 1
 
1.0%
20010 1
 
1.0%
21884 1
 
1.0%
23490 1
 
1.0%
21932 1
 
1.0%
21336 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
117 1
1.0%
187 1
1.0%
252 1
1.0%
379 1
1.0%
511 1
1.0%
564 1
1.0%
626 1
1.0%
951 1
1.0%
974 1
1.0%
1634 1
1.0%
ValueCountFrequency (%)
47453 1
1.0%
46264 1
1.0%
45890 1
1.0%
45759 1
1.0%
44892 1
1.0%
44813 1
1.0%
43438 1
1.0%
43034 1
1.0%
42757 1
1.0%
42754 1
1.0%

총계 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12100.129
Minimum26
Maximum23032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:14.943379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile110
Q16347
median12844
Q318186
95-th percentile21608
Maximum23032
Range23006
Interquartile range (IQR)11839

Descriptive statistics

Standard deviation7180.157
Coefficient of variation (CV)0.59339509
Kurtosis-1.1219342
Mean12100.129
Median Absolute Deviation (MAD)5827
Skewness-0.34443358
Sum1222113
Variance51554654
MonotonicityNot monotonic
2023-12-11T02:22:15.327083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19143 2
 
2.0%
7205 1
 
1.0%
5986 1
 
1.0%
7617 1
 
1.0%
6912 1
 
1.0%
6347 1
 
1.0%
6127 1
 
1.0%
9003 1
 
1.0%
9999 1
 
1.0%
10815 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
26 1
1.0%
34 1
1.0%
45 1
1.0%
81 1
1.0%
107 1
1.0%
110 1
1.0%
142 1
1.0%
203 1
1.0%
205 1
1.0%
365 1
1.0%
ValueCountFrequency (%)
23032 1
1.0%
22885 1
1.0%
22556 1
1.0%
22450 1
1.0%
21999 1
1.0%
21608 1
1.0%
21397 1
1.0%
21251 1
1.0%
21013 1
1.0%
20984 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12320.208
Minimum91
Maximum24421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:15.733281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile457
Q18151
median12219
Q317689
95-th percentile22893
Maximum24421
Range24330
Interquartile range (IQR)9538

Descriptive statistics

Standard deviation6733.1136
Coefficient of variation (CV)0.54650974
Kurtosis-0.80386649
Mean12320.208
Median Absolute Deviation (MAD)4806
Skewness-0.18655296
Sum1244341
Variance45334819
MonotonicityNot monotonic
2023-12-11T02:22:16.152570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6952 1
 
1.0%
14340 1
 
1.0%
9407 1
 
1.0%
8304 1
 
1.0%
7265 1
 
1.0%
11007 1
 
1.0%
11885 1
 
1.0%
12675 1
 
1.0%
11546 1
 
1.0%
11444 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
91 1
1.0%
153 1
1.0%
207 1
1.0%
298 1
1.0%
401 1
1.0%
457 1
1.0%
484 1
1.0%
748 1
1.0%
769 1
1.0%
1269 1
1.0%
ValueCountFrequency (%)
24421 1
1.0%
23440 1
1.0%
23379 1
1.0%
23205 1
1.0%
23203 1
1.0%
22893 1
1.0%
22115 1
1.0%
22041 1
1.0%
21902 1
1.0%
21718 1
1.0%

중구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean781.15842
Minimum7
Maximum1374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:16.609006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q1499
median835
Q31151
95-th percentile1290
Maximum1374
Range1367
Interquartile range (IQR)652

Descriptive statistics

Standard deviation409.36421
Coefficient of variation (CV)0.52404762
Kurtosis-1.0191638
Mean781.15842
Median Absolute Deviation (MAD)332
Skewness-0.43023629
Sum78897
Variance167579.05
MonotonicityNot monotonic
2023-12-11T02:22:17.067131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1247 2
 
2.0%
499 1
 
1.0%
811 1
 
1.0%
663 1
 
1.0%
650 1
 
1.0%
847 1
 
1.0%
924 1
 
1.0%
944 1
 
1.0%
892 1
 
1.0%
805 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
17 1
1.0%
18 1
1.0%
22 1
1.0%
32 1
1.0%
37 1
1.0%
40 1
1.0%
56 1
1.0%
86 1
1.0%
95 1
1.0%
ValueCountFrequency (%)
1374 1
1.0%
1359 1
1.0%
1347 1
1.0%
1309 1
1.0%
1302 1
1.0%
1290 1
1.0%
1270 1
1.0%
1267 1
1.0%
1258 1
1.0%
1247 2
2.0%

중구 남
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.78218
Minimum2
Maximum690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:17.501020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q1246
median379
Q3576
95-th percentile649
Maximum690
Range688
Interquartile range (IQR)330

Descriptive statistics

Standard deviation213.30282
Coefficient of variation (CV)0.56312791
Kurtosis-1.1006732
Mean378.78218
Median Absolute Deviation (MAD)183
Skewness-0.35270288
Sum38257
Variance45498.092
MonotonicityNot monotonic
2023-12-11T02:22:17.869685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
536 3
 
3.0%
2 2
 
2.0%
7 2
 
2.0%
635 2
 
2.0%
645 2
 
2.0%
228 2
 
2.0%
246 2
 
2.0%
392 2
 
2.0%
258 1
 
1.0%
349 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
2 2
2.0%
3 1
1.0%
7 2
2.0%
10 1
1.0%
11 1
1.0%
14 1
1.0%
15 1
1.0%
18 1
1.0%
29 1
1.0%
39 1
1.0%
ValueCountFrequency (%)
690 1
1.0%
677 1
1.0%
657 1
1.0%
651 1
1.0%
650 1
1.0%
649 1
1.0%
645 2
2.0%
641 1
1.0%
639 1
1.0%
637 1
1.0%

중구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.37624
Minimum5
Maximum720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:18.359118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q1251
median456
Q3572
95-th percentile655
Maximum720
Range715
Interquartile range (IQR)321

Descriptive statistics

Standard deviation200.1944
Coefficient of variation (CV)0.49753037
Kurtosis-0.9426131
Mean402.37624
Median Absolute Deviation (MAD)150
Skewness-0.47134356
Sum40640
Variance40077.797
MonotonicityNot monotonic
2023-12-11T02:22:18.801623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
370 3
 
3.0%
606 2
 
2.0%
537 2
 
2.0%
497 2
 
2.0%
456 2
 
2.0%
633 1
 
1.0%
489 1
 
1.0%
517 1
 
1.0%
552 1
 
1.0%
572 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
14 1
1.0%
20 1
1.0%
22 1
1.0%
29 1
1.0%
30 1
1.0%
42 1
1.0%
71 1
1.0%
77 1
1.0%
ValueCountFrequency (%)
720 1
1.0%
697 1
1.0%
684 1
1.0%
671 1
1.0%
660 1
1.0%
655 1
1.0%
648 1
1.0%
645 1
1.0%
640 1
1.0%
636 1
1.0%

동구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3482.8614
Minimum26
Maximum6838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:19.210048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile100
Q12446
median3722
Q35112
95-th percentile5846
Maximum6838
Range6812
Interquartile range (IQR)2666

Descriptive statistics

Standard deviation1874.7835
Coefficient of variation (CV)0.53828829
Kurtosis-0.85626537
Mean3482.8614
Median Absolute Deviation (MAD)1373
Skewness-0.39850226
Sum351769
Variance3514813.2
MonotonicityNot monotonic
2023-12-11T02:22:19.567211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5807 2
 
2.0%
4455 2
 
2.0%
2210 1
 
1.0%
2831 1
 
1.0%
2636 1
 
1.0%
2317 1
 
1.0%
3417 1
 
1.0%
3781 1
 
1.0%
4078 1
 
1.0%
3771 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
26 1
1.0%
35 1
1.0%
42 1
1.0%
66 1
1.0%
74 1
1.0%
100 1
1.0%
109 1
1.0%
134 1
1.0%
186 1
1.0%
287 1
1.0%
ValueCountFrequency (%)
6838 1
1.0%
6568 1
1.0%
6121 1
1.0%
5873 1
1.0%
5861 1
1.0%
5846 1
1.0%
5844 1
1.0%
5807 2
2.0%
5762 1
1.0%
5705 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725.5743
Minimum7
Maximum3201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:19.950603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile16
Q11129
median1767
Q32601
95-th percentile2891
Maximum3201
Range3194
Interquartile range (IQR)1472

Descriptive statistics

Standard deviation973.67559
Coefficient of variation (CV)0.56426177
Kurtosis-1.0113835
Mean1725.5743
Median Absolute Deviation (MAD)804
Skewness-0.45796682
Sum174283
Variance948044.15
MonotonicityNot monotonic
2023-12-11T02:22:20.315917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2876 2
 
2.0%
2221 2
 
2.0%
2066 1
 
1.0%
1339 1
 
1.0%
1207 1
 
1.0%
1129 1
 
1.0%
1048 1
 
1.0%
1542 1
 
1.0%
1740 1
 
1.0%
1868 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
10 1
1.0%
13 1
1.0%
14 1
1.0%
16 1
1.0%
23 1
1.0%
25 1
1.0%
36 1
1.0%
66 1
1.0%
ValueCountFrequency (%)
3201 1
1.0%
3080 1
1.0%
3015 1
1.0%
2953 1
1.0%
2937 1
1.0%
2891 1
1.0%
2876 2
2.0%
2873 1
1.0%
2860 1
1.0%
2859 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.2871
Minimum18
Maximum3637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:20.714236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile86
Q11263
median1863
Q32503
95-th percentile2993
Maximum3637
Range3619
Interquartile range (IQR)1240

Descriptive statistics

Standard deviation919.55094
Coefficient of variation (CV)0.52327871
Kurtosis-0.68969294
Mean1757.2871
Median Absolute Deviation (MAD)602
Skewness-0.27484139
Sum177486
Variance845573.93
MonotonicityNot monotonic
2023-12-11T02:22:21.432193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 2
 
2.0%
1079 1
 
1.0%
2971 1
 
1.0%
1507 1
 
1.0%
1269 1
 
1.0%
1875 1
 
1.0%
2041 1
 
1.0%
2210 1
 
1.0%
2004 1
 
1.0%
1930 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
18 1
1.0%
28 1
1.0%
29 1
1.0%
56 1
1.0%
58 1
1.0%
86 2
2.0%
109 1
1.0%
150 1
1.0%
221 1
1.0%
246 1
1.0%
ValueCountFrequency (%)
3637 1
1.0%
3488 1
1.0%
3245 1
1.0%
3020 1
1.0%
3012 1
1.0%
2993 1
1.0%
2971 1
1.0%
2968 1
1.0%
2948 1
1.0%
2915 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1846.3465
Minimum7
Maximum4457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:21.996563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile54
Q1982
median1934
Q32675
95-th percentile3696
Maximum4457
Range4450
Interquartile range (IQR)1693

Descriptive statistics

Standard deviation1155.8776
Coefficient of variation (CV)0.62603505
Kurtosis-0.85118059
Mean1846.3465
Median Absolute Deviation (MAD)903
Skewness0.13871134
Sum186481
Variance1336053.1
MonotonicityNot monotonic
2023-12-11T02:22:22.537909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3545 2
 
2.0%
2874 1
 
1.0%
1812 1
 
1.0%
1713 1
 
1.0%
1446 1
 
1.0%
1307 1
 
1.0%
2015 1
 
1.0%
2255 1
 
1.0%
2436 1
 
1.0%
2220 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
10 1
1.0%
23 1
1.0%
26 1
1.0%
53 1
1.0%
54 1
1.0%
68 1
1.0%
90 1
1.0%
95 1
1.0%
134 1
1.0%
ValueCountFrequency (%)
4457 1
1.0%
4280 1
1.0%
3979 1
1.0%
3956 1
1.0%
3752 1
1.0%
3696 1
1.0%
3621 1
1.0%
3545 2
2.0%
3515 1
1.0%
3390 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean929.71287
Minimum0
Maximum2181
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:22.928032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1499
median1021
Q31376
95-th percentile1855
Maximum2181
Range2181
Interquartile range (IQR)877

Descriptive statistics

Standard deviation604.47404
Coefficient of variation (CV)0.65017282
Kurtosis-1.1077371
Mean929.71287
Median Absolute Deviation (MAD)514
Skewness0.011875383
Sum93901
Variance365388.87
MonotonicityNot monotonic
2023-12-11T02:22:23.299192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
501 3
 
3.0%
20 2
 
2.0%
329 1
 
1.0%
1533 1
 
1.0%
663 1
 
1.0%
583 1
 
1.0%
878 1
 
1.0%
1021 1
 
1.0%
1152 1
 
1.0%
1094 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
0 1
1.0%
1 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
9 1
1.0%
12 1
1.0%
20 2
2.0%
24 1
1.0%
40 1
1.0%
ValueCountFrequency (%)
2181 1
1.0%
2073 1
1.0%
1962 1
1.0%
1902 1
1.0%
1897 1
1.0%
1855 1
1.0%
1847 1
1.0%
1836 1
1.0%
1813 1
1.0%
1724 1
1.0%

서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean916.63366
Minimum7
Maximum2276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:23.687182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile48
Q1499
median901
Q31234
95-th percentile1841
Maximum2276
Range2269
Interquartile range (IQR)735

Descriptive statistics

Standard deviation564.63428
Coefficient of variation (CV)0.61598685
Kurtosis-0.58007004
Mean916.63366
Median Absolute Deviation (MAD)395
Skewness0.31552004
Sum92580
Variance318811.87
MonotonicityNot monotonic
2023-12-11T02:22:24.641984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
519 2
 
2.0%
345 1
 
1.0%
1532 1
 
1.0%
1032 1
 
1.0%
999 1
 
1.0%
783 1
 
1.0%
724 1
 
1.0%
1137 1
 
1.0%
1234 1
 
1.0%
1284 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
9 1
1.0%
16 1
1.0%
22 1
1.0%
45 1
1.0%
48 1
1.0%
56 1
1.0%
70 1
1.0%
71 1
1.0%
114 1
1.0%
ValueCountFrequency (%)
2276 1
1.0%
2207 1
1.0%
2054 1
1.0%
2017 1
1.0%
1855 1
1.0%
1841 1
1.0%
1839 1
1.0%
1791 1
1.0%
1774 1
1.0%
1732 1
1.0%

남구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1499.8317
Minimum10
Maximum3104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:24.959338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile60
Q1814
median1660
Q32200
95-th percentile2646
Maximum3104
Range3094
Interquartile range (IQR)1386

Descriptive statistics

Standard deviation843.06639
Coefficient of variation (CV)0.56210734
Kurtosis-1.0678095
Mean1499.8317
Median Absolute Deviation (MAD)723
Skewness-0.20573448
Sum151483
Variance710760.94
MonotonicityNot monotonic
2023-12-11T02:22:25.290364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
578 1
 
1.0%
2201 1
 
1.0%
1433 1
 
1.0%
1271 1
 
1.0%
1227 1
 
1.0%
1814 1
 
1.0%
1877 1
 
1.0%
2023 1
 
1.0%
1802 1
 
1.0%
1746 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
24 1
1.0%
26 1
1.0%
34 1
1.0%
57 1
1.0%
60 1
1.0%
71 1
1.0%
74 1
1.0%
108 1
1.0%
160 1
1.0%
ValueCountFrequency (%)
3104 1
1.0%
2987 1
1.0%
2828 1
1.0%
2756 1
1.0%
2721 1
1.0%
2646 1
1.0%
2640 1
1.0%
2630 1
1.0%
2619 1
1.0%
2539 1
1.0%

남구 남
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean725.67327
Minimum2
Maximum1474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:25.605363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q1399
median807
Q31083
95-th percentile1282
Maximum1474
Range1472
Interquartile range (IQR)684

Descriptive statistics

Standard deviation425.98385
Coefficient of variation (CV)0.5870188
Kurtosis-1.1942944
Mean725.67327
Median Absolute Deviation (MAD)353
Skewness-0.24522115
Sum73293
Variance181462.24
MonotonicityNot monotonic
2023-12-11T02:22:25.915117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1160 3
 
3.0%
532 2
 
2.0%
1009 2
 
2.0%
807 2
 
2.0%
12 2
 
2.0%
1048 2
 
2.0%
283 1
 
1.0%
960 1
 
1.0%
607 1
 
1.0%
896 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
10 1
1.0%
12 2
2.0%
14 1
1.0%
17 1
1.0%
21 1
1.0%
40 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
1474 1
1.0%
1351 1
1.0%
1344 1
1.0%
1342 1
1.0%
1283 1
1.0%
1282 1
1.0%
1273 1
1.0%
1271 1
1.0%
1268 1
1.0%
1262 1
1.0%

남구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774.15842
Minimum7
Maximum1643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:26.278996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile48
Q1402
median838
Q31071
95-th percentile1414
Maximum1643
Range1636
Interquartile range (IQR)669

Descriptive statistics

Standard deviation426.75749
Coefficient of variation (CV)0.55125344
Kurtosis-0.92808924
Mean774.15842
Median Absolute Deviation (MAD)342
Skewness-0.11455688
Sum78190
Variance182121.95
MonotonicityNot monotonic
2023-12-11T02:22:26.657591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 2
 
2.0%
402 2
 
2.0%
1414 2
 
2.0%
57 2
 
2.0%
925 2
 
2.0%
987 2
 
2.0%
295 1
 
1.0%
1180 1
 
1.0%
739 1
 
1.0%
695 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
7 1
1.0%
22 2
2.0%
24 1
1.0%
45 1
1.0%
48 1
1.0%
57 2
2.0%
87 1
1.0%
120 1
1.0%
137 1
1.0%
205 1
1.0%
ValueCountFrequency (%)
1643 1
1.0%
1630 1
1.0%
1546 1
1.0%
1453 1
1.0%
1414 2
2.0%
1369 1
1.0%
1346 1
1.0%
1333 1
1.0%
1309 1
1.0%
1295 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4357.4653
Minimum17
Maximum8663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:27.140424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile74
Q12339
median4488
Q36484
95-th percentile8273
Maximum8663
Range8646
Interquartile range (IQR)4145

Descriptive statistics

Standard deviation2562.0204
Coefficient of variation (CV)0.58796116
Kurtosis-1.0086888
Mean4357.4653
Median Absolute Deviation (MAD)2035
Skewness-0.22033697
Sum440104
Variance6563948.5
MonotonicityNot monotonic
2023-12-11T02:22:27.437253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2754 1
 
1.0%
4488 1
 
1.0%
2585 1
 
1.0%
2339 1
 
1.0%
2072 1
 
1.0%
3154 1
 
1.0%
3476 1
 
1.0%
3711 1
 
1.0%
3411 1
 
1.0%
3383 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
37 1
1.0%
38 1
1.0%
59 1
1.0%
71 1
1.0%
74 1
1.0%
86 1
1.0%
133 1
1.0%
135 1
1.0%
238 1
1.0%
ValueCountFrequency (%)
8663 1
1.0%
8531 1
1.0%
8524 1
1.0%
8471 1
1.0%
8336 1
1.0%
8273 1
1.0%
8207 1
1.0%
8074 1
1.0%
7790 1
1.0%
7656 1
1.0%

북구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2175.0198
Minimum2
Maximum4299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:27.854471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q1977
median2218
Q33308
95-th percentile4091
Maximum4299
Range4297
Interquartile range (IQR)2331

Descriptive statistics

Standard deviation1342.9366
Coefficient of variation (CV)0.61743651
Kurtosis-1.1746169
Mean2175.0198
Median Absolute Deviation (MAD)1161
Skewness-0.27139705
Sum219677
Variance1803478.8
MonotonicityNot monotonic
2023-12-11T02:22:28.246487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1964 2
 
2.0%
6 2
 
2.0%
1391 1
 
1.0%
2218 1
 
1.0%
1033 1
 
1.0%
977 1
 
1.0%
936 1
 
1.0%
1421 1
 
1.0%
1555 1
 
1.0%
1684 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
6 2
2.0%
10 1
1.0%
12 1
1.0%
15 1
1.0%
18 1
1.0%
25 1
1.0%
32 1
1.0%
56 1
1.0%
59 1
1.0%
ValueCountFrequency (%)
4299 1
1.0%
4268 1
1.0%
4236 1
1.0%
4169 1
1.0%
4105 1
1.0%
4091 1
1.0%
4002 1
1.0%
3935 1
1.0%
3917 1
1.0%
3860 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.4455
Minimum15
Maximum4395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:28.627520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile59
Q11363
median2226
Q33152
95-th percentile4205
Maximum4395
Range4380
Interquartile range (IQR)1789

Descriptive statistics

Standard deviation1232.9481
Coefficient of variation (CV)0.56493879
Kurtosis-0.81097803
Mean2182.4455
Median Absolute Deviation (MAD)864
Skewness-0.13668525
Sum220427
Variance1520161.1
MonotonicityNot monotonic
2023-12-11T02:22:29.315228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1363 1
 
1.0%
2270 1
 
1.0%
1552 1
 
1.0%
1362 1
 
1.0%
1136 1
 
1.0%
1733 1
 
1.0%
1921 1
 
1.0%
2027 1
 
1.0%
1835 1
 
1.0%
1821 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
15 1
1.0%
31 1
1.0%
32 1
1.0%
47 1
1.0%
53 1
1.0%
59 1
1.0%
76 1
1.0%
103 1
1.0%
108 1
1.0%
182 1
1.0%
ValueCountFrequency (%)
4395 1
1.0%
4302 1
1.0%
4288 1
1.0%
4232 1
1.0%
4231 1
1.0%
4205 1
1.0%
4182 1
1.0%
4139 1
1.0%
3930 1
1.0%
3879 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4293.6832
Minimum21
Maximum9230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:29.770225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile94
Q12267
median4402
Q36239
95-th percentile8399
Maximum9230
Range9209
Interquartile range (IQR)3972

Descriptive statistics

Standard deviation2551.8734
Coefficient of variation (CV)0.59433202
Kurtosis-0.93038272
Mean4293.6832
Median Absolute Deviation (MAD)1972
Skewness-0.067365751
Sum433662
Variance6512057.8
MonotonicityNot monotonic
2023-12-11T02:22:30.180099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1695 1
 
1.0%
4402 1
 
1.0%
2697 1
 
1.0%
2447 1
 
1.0%
2187 1
 
1.0%
3333 1
 
1.0%
3528 1
 
1.0%
3764 1
 
1.0%
3578 1
 
1.0%
3451 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
21 1
1.0%
31 1
1.0%
45 1
1.0%
70 1
1.0%
79 1
1.0%
94 1
1.0%
104 1
1.0%
189 1
1.0%
202 1
1.0%
284 1
1.0%
ValueCountFrequency (%)
9230 1
1.0%
8987 1
1.0%
8952 1
1.0%
8913 1
1.0%
8713 1
1.0%
8399 1
1.0%
8121 1
1.0%
8062 1
1.0%
7572 1
1.0%
7513 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2088.4257
Minimum3
Maximum4310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:30.581192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24
Q11034
median2134
Q33154
95-th percentile3924
Maximum4310
Range4307
Interquartile range (IQR)2120

Descriptive statistics

Standard deviation1287.7507
Coefficient of variation (CV)0.61661311
Kurtosis-1.1206498
Mean2088.4257
Median Absolute Deviation (MAD)1072
Skewness-0.15085581
Sum210931
Variance1658301.8
MonotonicityNot monotonic
2023-12-11T02:22:30.999876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3577 2
 
2.0%
865 1
 
1.0%
1034 1
 
1.0%
1305 1
 
1.0%
1184 1
 
1.0%
1062 1
 
1.0%
1010 1
 
1.0%
1475 1
 
1.0%
1571 1
 
1.0%
1697 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
20 1
1.0%
21 1
1.0%
24 1
1.0%
25 1
1.0%
45 1
1.0%
51 1
1.0%
72 1
1.0%
ValueCountFrequency (%)
4310 1
1.0%
4301 1
1.0%
4290 1
1.0%
4185 1
1.0%
4046 1
1.0%
3924 1
1.0%
3819 1
1.0%
3752 1
1.0%
3745 1
1.0%
3716 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2205.2574
Minimum14
Maximum4929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:31.332949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile70
Q11265
median2212
Q33091
95-th percentile4603
Maximum4929
Range4915
Interquartile range (IQR)1826

Descriptive statistics

Standard deviation1288.786
Coefficient of variation (CV)0.58441521
Kurtosis-0.66965039
Mean2205.2574
Median Absolute Deviation (MAD)910
Skewness0.092555935
Sum222731
Variance1660969.3
MonotonicityNot monotonic
2023-12-11T02:22:31.683215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
830 1
 
1.0%
2303 1
 
1.0%
1513 1
 
1.0%
1385 1
 
1.0%
1177 1
 
1.0%
1858 1
 
1.0%
1957 1
 
1.0%
2067 1
 
1.0%
1914 1
 
1.0%
1863 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
28 1
1.0%
41 1
1.0%
50 1
1.0%
54 1
1.0%
70 1
1.0%
83 1
1.0%
144 1
1.0%
151 1
1.0%
212 1
1.0%
ValueCountFrequency (%)
4929 1
1.0%
4767 1
1.0%
4697 1
1.0%
4667 1
1.0%
4647 1
1.0%
4603 1
1.0%
4560 1
1.0%
4138 1
1.0%
3978 1
1.0%
3909 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5691.6535
Minimum18
Maximum11560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:32.046933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile88
Q12765
median5950
Q38425
95-th percentile10783
Maximum11560
Range11542
Interquartile range (IQR)5660

Descriptive statistics

Standard deviation3458.5361
Coefficient of variation (CV)0.60765051
Kurtosis-1.1090429
Mean5691.6535
Median Absolute Deviation (MAD)2742
Skewness-0.15996864
Sum574857
Variance11961472
MonotonicityNot monotonic
2023-12-11T02:22:32.392983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3039 1
 
1.0%
5959 1
 
1.0%
3004 1
 
1.0%
2765 1
 
1.0%
2588 1
 
1.0%
3932 1
 
1.0%
4334 1
 
1.0%
4654 1
 
1.0%
4433 1
 
1.0%
4448 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
22 1
1.0%
42 1
1.0%
66 1
1.0%
72 1
1.0%
88 1
1.0%
102 1
1.0%
162 1
1.0%
186 1
1.0%
280 1
1.0%
ValueCountFrequency (%)
11560 1
1.0%
11423 1
1.0%
11415 1
1.0%
11056 1
1.0%
10919 1
1.0%
10783 1
1.0%
10663 1
1.0%
10589 1
1.0%
10472 1
1.0%
10422 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2821.6634
Minimum2
Maximum5616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:32.718262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23
Q11230
median2922
Q34251
95-th percentile5282
Maximum5616
Range5614
Interquartile range (IQR)3021

Descriptive statistics

Standard deviation1771.4152
Coefficient of variation (CV)0.62779113
Kurtosis-1.2427371
Mean2821.6634
Median Absolute Deviation (MAD)1527
Skewness-0.25801469
Sum284988
Variance3137911.9
MonotonicityNot monotonic
2023-12-11T02:22:33.078001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5028 2
 
2.0%
1589 1
 
1.0%
2793 1
 
1.0%
1430 1
 
1.0%
1279 1
 
1.0%
1213 1
 
1.0%
1230 1
 
1.0%
1813 1
 
1.0%
2056 1
 
1.0%
2191 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
8 1
1.0%
12 1
1.0%
13 1
1.0%
23 1
1.0%
24 1
1.0%
33 1
1.0%
36 1
1.0%
66 1
1.0%
ValueCountFrequency (%)
5616 1
1.0%
5490 1
1.0%
5488 1
1.0%
5326 1
1.0%
5288 1
1.0%
5282 1
1.0%
5179 1
1.0%
5069 1
1.0%
5028 2
2.0%
4999 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2869.9901
Minimum14
Maximum5944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:33.411468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile64
Q11552
median2852
Q34200
95-th percentile5631
Maximum5944
Range5930
Interquartile range (IQR)2648

Descriptive statistics

Standard deviation1707.1872
Coefficient of variation (CV)0.5948408
Kurtosis-0.92958876
Mean2869.9901
Median Absolute Deviation (MAD)1334
Skewness-0.020750245
Sum289869
Variance2914488.1
MonotonicityNot monotonic
2023-12-11T02:22:34.362953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4001 2
 
2.0%
1450 1
 
1.0%
1604 1
 
1.0%
1816 1
 
1.0%
1725 1
 
1.0%
1552 1
 
1.0%
1358 1
 
1.0%
2119 1
 
1.0%
2278 1
 
1.0%
2463 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
16 1
1.0%
39 1
1.0%
54 1
1.0%
59 1
1.0%
64 1
1.0%
79 1
1.0%
129 1
1.0%
150 1
1.0%
214 1
1.0%
ValueCountFrequency (%)
5944 1
1.0%
5935 1
1.0%
5925 1
1.0%
5774 1
1.0%
5635 1
1.0%
5631 1
1.0%
5604 1
1.0%
5473 1
1.0%
5394 1
1.0%
5370 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2467.3366
Minimum10
Maximum5171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:34.747071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile36
Q11137
median2788
Q33800
95-th percentile4349
Maximum5171
Range5161
Interquartile range (IQR)2663

Descriptive statistics

Standard deviation1463.6215
Coefficient of variation (CV)0.59319897
Kurtosis-1.025505
Mean2467.3366
Median Absolute Deviation (MAD)1091
Skewness-0.25815
Sum249201
Variance2142188
MonotonicityNot monotonic
2023-12-11T02:22:35.124418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 2
 
2.0%
2708 1
 
1.0%
2833 1
 
1.0%
1084 1
 
1.0%
1044 1
 
1.0%
1498 1
 
1.0%
1709 1
 
1.0%
1880 1
 
1.0%
1825 1
 
1.0%
1747 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
11 1
1.0%
19 1
1.0%
25 1
1.0%
36 2
2.0%
39 1
1.0%
76 1
1.0%
89 1
1.0%
156 1
1.0%
170 1
1.0%
ValueCountFrequency (%)
5171 1
1.0%
5145 1
1.0%
5128 1
1.0%
4822 1
1.0%
4587 1
1.0%
4349 1
1.0%
4237 1
1.0%
4174 1
1.0%
4133 1
1.0%
4128 1
1.0%

달성군 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1255.2772
Minimum0
Maximum2707
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:35.509579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1508
median1410
Q31914
95-th percentile2244
Maximum2707
Range2707
Interquartile range (IQR)1406

Descriptive statistics

Standard deviation783.85293
Coefficient of variation (CV)0.62444607
Kurtosis-1.1240296
Mean1255.2772
Median Absolute Deviation (MAD)583
Skewness-0.28752003
Sum126783
Variance614425.42
MonotonicityNot monotonic
2023-12-11T02:22:35.888431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1505 2
 
2.0%
7 2
 
2.0%
1614 2
 
2.0%
1104 2
 
2.0%
1397 2
 
2.0%
1359 1
 
1.0%
850 1
 
1.0%
541 1
 
1.0%
554 1
 
1.0%
500 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
5 1
1.0%
7 2
2.0%
8 1
1.0%
11 1
1.0%
16 1
1.0%
17 1
1.0%
27 1
1.0%
41 1
1.0%
ValueCountFrequency (%)
2707 1
1.0%
2645 1
1.0%
2638 1
1.0%
2417 1
1.0%
2371 1
1.0%
2244 1
1.0%
2224 1
1.0%
2193 1
1.0%
2182 1
1.0%
2127 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1212.0594
Minimum9
Maximum2500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T02:22:36.256838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile29
Q1691
median1283
Q31815
95-th percentile2167
Maximum2500
Range2491
Interquartile range (IQR)1124

Descriptive statistics

Standard deviation685.55224
Coefficient of variation (CV)0.56560944
Kurtosis-0.90272787
Mean1212.0594
Median Absolute Deviation (MAD)569
Skewness-0.21627651
Sum122418
Variance469981.88
MonotonicityNot monotonic
2023-12-11T02:22:36.615692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1429 2
 
2.0%
1243 2
 
2.0%
1917 2
 
2.0%
1207 1
 
1.0%
772 1
 
1.0%
742 1
 
1.0%
691 1
 
1.0%
584 1
 
1.0%
536 1
 
1.0%
789 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
14 1
1.0%
17 1
1.0%
25 1
1.0%
29 1
1.0%
32 1
1.0%
59 1
1.0%
73 1
1.0%
127 1
1.0%
ValueCountFrequency (%)
2500 1
1.0%
2490 1
1.0%
2464 1
1.0%
2405 1
1.0%
2216 1
1.0%
2167 1
1.0%
2097 1
1.0%
2053 1
1.0%
2019 1
1.0%
2013 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
00세14157720569524992582412210113110796743293455782832952754139113631695865830303915891450270813591349
11세1673386468087590309281265013891261840428412664340324319516041591214911001049367419711703297115051466
22세1928798229465637312325292714391488982501481776394382371818941824259313821211434822722076330616281678
33세20004102659739615302313313416411493962506456765392373382219641858284414381406461323492264324916731576
44세19975101199856571303268300115241477996502494801399402378919301859307615641512460923502259313215471585
55세204571049399646033003033023155614671005499506780420360386919731896338717271660472324122311306716061461
66세2225211354108985883252633220167715431064545519852433419415321112042390519821923532326702653314716111536
77세2208311406106775912962953032157314591060539521843446397413521921943413921342005525026852565303315411492
88세208521077310079526281245291415381376930458472792416376383719771860400120771924512626162510272614101316
99세20651106819970478268210276614411325981501480803393410386419641900421021802030503626642372251312701243
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
9191세1634365126995187728766221134201141604012023856182284722122806621415627129
9292세974205769561442134251099020701082187133251082025115116233129891673
9393세95120374840112918636150681256711457135321031894514418636150761759
9494세5641074573210221001486535486012487415591042183102237939732
9595세511110401377307416585494557124586107679255488246436729
9696세379812982222066105626422341024591247702050661254361125
9797세2524520717314421329237162642238632454414233919514
9898세18734153187113572810192422237631313282281410010
9999세11726917252681870710371721521714182161129
100100세 이상626142484861571109238695247174175771185394247072135925817